Les Enseignants-Chercheurs

Team lisite EN

Prof. Raja Chiky

Director of Innovation - Team: DaSSIP

Raja Chiky is currently director of Innovation at ISEP. She also serves as committee executive member of ISEP. She obtained an HDR (Confirmation of Leading Research Capabilities) from UPMC University in 2016. She hold a Ph.D. in Computer Science from Telecom ParisTech obtained after a Master degree in data mining and an engineering degree in computer science. She took part to many European and National projects in collaboration with universities, research lab and companies. She is also expert for various research funding programs (H2020, ANR, FUI, etc.).
Her research interests include outlier detection, data stream management, recommender systems, and cloud computing.

Research interests :
- Outlier Detection
- Data Stream management
- Cloud Computing
- Recommender Systems

Teaching :
Head of Innovation and Entrepreneurship Major
Big Data

Publications :
> Conferences:
- Raja Chiky, Laurent Decreusefond, Georges Hébrail, Aggregation of asynchronous electric power consumption time series knowing the integral, in EDBT, ACM, 2010.
- Alzennyr Da, Raja Chiky, Georges Hébrail, CLUSMASTER: A Clustering Approach for Sampling Data Streams in Sensor Networks, in ICDM, ACM, 2010.
- Raja Chiky, Zakia Kazi, Renata Ghisloti, Development of a distributed recommender system using Hadoop Framework, in EGC 2012, DBLP, 2012.
- Sathiya Prabhu, Raja Chiky, Sylvain Lefebvre, Eric Gressier-Soudan, LibRe: A Consistency Protocol for Modern Storage Systems, in ACM Compute2013, ACM, 2013.
- Jihane Karim, Raja Chiky, Matthieu Manceny, Marie-Aude Aufaure, Using Collaborative Filtering to Enhance Domain-Independent CBR Recommender's Personalization, in RCIS, IEEE Xplore, 2015.
- Georges Chaaya, Jacques Bou, Raja Chiky, Jacques DEMERJIAN, Elisabeth Metais, Evaluating Non-Personalized Single-Heuristic Active Learning Strategies for Collaborative Filtering Recommender Systems, in ICMLA, IEEE, 2017.
- Loic Perennou, Mar Callau-Zori, Sylvain Lefebvre, Raja Chiky, Workload Characterization for a Non-Hyperscale Public Cloud Platform, in IEEE Cloud, IEEE, 2019.
- Jade Eva, Raja Chiky, Julien ORENSANZ, SHOHREH AHVAR, Multilayered Ensemble Learning for short-term forecast of agro-climatic variables, in ICCTA, ACM, 2020.

> Book Chapters:
- Rayane EL, Jacques abou, Yousra Chabchoub, Jacques DEMERJIAN, Raja Chiky, Kablan BARBAR, Data summarization using sampling algorithms: Data streams case study, in Principles of Data Science, springer, 2019.

> Journals:
- Alzennyr Da, Raja Chiky, Georges Hébrail, A Clustering Approach for Sampling Data Streams in Sensor Networks, in KAIS, 2011.
- Yousra Chabchoub, Raja Chiky, Betul Dogan, How Can Sliding HyperLogLog and EWMA Detect Port Scan attacks in IP Traffic?, in EURASIP, special issue on Information Security, Springer, 2014.
- Marie-Aude Aufaure, Raja Chiky, Olivier Curé, Houda Khrouf, From Business Intelligence to Semantic Data Stream Management, in Future Generation Computer Systems, Elsevier, 2015.
- Manuel Pozo, Raja Chiky, Elisabeth Metais, Enhancing Collaborative Filtering using Implicit Relations in Data, in TCCI - Transactions on Computational Collective Intelligence, Springer, 2015.
- Soulef Benhamdi, Abdesselam Babouri, Raja Chiky, Personalized recommender system for e-Learning environment, in Education and Information Technologies, Springer, 2016.

> General list:
- https://sites.google.com/site/rossantflorence/research-and-funds/publications
- https://dblp.uni-trier.de/pers/c/Chiky:Raja.html

Other links:
- Linkedin: https://fr.linkedin.com/in/rchiky

+33 (0)1 48 54 52 34
raja.chiky[at]isep[dot]fr

Dr. Lina Mroueh

Head of research ECoS Team, HDR

Lina Mroueh received her engineering and her MSc degrees respectively from Telecom ParisTech and the University of Pierre and Marie Curie in the same year 2006 and then her PhD degree from Telecom ParisTech in 2010. She obtained her habilitation for leading research from the Sorbonne University in 2019. She is currently an associate professor and the head of the research group "electronics and communications systems" at the Institut Supérieur d’Electronique de Paris. Her research interests are mainly focused in the PHY layer design of wireless optical communications, and cross-layer PHY & MAC design for cellular, sensor and ad-hoc networks. I conducted several research projects in partnership with academical and industrial partners: Thales Communication Group, Telecom ParisTech, CEA-Leti, le CNAM, Sequans Communications, INSA Lyon, Centrale Supelec.

Research interests :
- optical wireless communication
- Cellular and ad-hoc networks
- dimensioning and radio resource allocation
- multiple input multiple output ...

Teaching :
- Resp of the engineering program object and connected systems
- Resp of the courses cellular networks and connected objects, probability, radio-communication project.

Publications :
- L. Mroueh, "Extended Golden Light Code for FSO-MIMO Communications With Time Diversity," in IEEE Transactions on Communications, vol. 67, no. 1, pp. 553- 563, Jan. 2019.
- L. Mroueh, "Extended Quadratic Field Compositum Code for Parallel FSO-MIMO Communications," in IEEE Communications Letters, vol. 22, no. 10, pp. 1996-1999, Oct. 2018.
- L. Mroueh and J.-C Belfiore, "Quadratic Extension Field Based Codes for Optical Free Space Intensity Communications", in IEEE Transactions on communications, vol. 65, no. 2, pp. 751-763, Feb. 2017.
- F.Z. Kaddour, E. Vivier, L. Mroueh, M. Pischella and P. Martins, "Green Oppor- tunistic and Efficient Resource Block Allocation algorithm for LTE uplink networks", in IEEE Transactions on vehicular technologies, vol.64, no.10, pp.4537-4550, October 2015.
- Yi Yu, L. Mroueh, G. Vivier, M. Terré, "Packet Recovery Latency of a Rate-less Polar Code in Low Power Wide Area Networks", in IEEE EuCNC 2019.
- G. Vivier, V. Mannoni, F. Dehmas, V. Berg, L. Mroueh, Y. Yu, D. Duchemin, J-M. Gorce, J. Manco-Vasquez, F. Bader, "Beyond LoRa and NB-IoT: Proposals for Future LPWA Systems", in IEEE EuCNC2019.
- L. Mroueh, Y. Yu, M. Terré and P. Martins, "Statistical Uplink Dimensioning in Li- censed Cellular Low Power IoT Network", published in IEEE International Conference on Telecommunication (ICT), Saint Malo, France, 2018.
- L. Mroueh, "Extended Golden Light Code Design for Free Space Space Optical MIMO communication", in IEEE Optical Wireless Communication (OWC) Workshop, International Conference on Communication 2018.
- A. Kessab, L. Mroueh, P. Martins, I. Bucaille, "Optimizing End-to-End Propagation Delays in Hybrid Satellite-Maritime Mobile Ad Hoc Networks", in IEEE Conference on Software, Telecommunications and Computer Networks Softcom 2016.

Other links:
- Personal link : http://perso.isep.fr/mroueh/
- Linkedin: https://www.linkedin.com/in/linamroueh/?originalSubdomain=fr

01 49 54 52 60
lina.mroueh[at]isep[dot]fr

Prof. Florence Rossant

Head of research DaSSIP Team

Florence Rossant is currently head of the DASSIP Research Group of the LISITE Laboratory. She holds a HDR (Confirmation of Leading Research Capabilities) from Paris-Descartes University and a PhD in Signal-Image processing from ENST (Télécom ParisTech).
She is specialized in image processing, applied in various application fields, especially in the medical domain. Her main contributions are related to the modeling of a priori knowledge in the segmentation and pattern recognition algorithms. She is a member of the PARIS research team at the Quinze-Vingts Hospital, a team working on high-resolution imaging of the human eye, from acquisition systems to clinical applications. Florence Rossant has contributed to several collaborative research projects supported by public funds, involving industry, universities and research centers, including 2 ANR projects, 2 FUI projects, one RHU project.

Research interests :
- Computer Vision
- Medical image processing
- Machine learning/deep learning applied to image processing ...

Publications :
List the most (recent) important publications
> Journals (2019-2020):
- F. Rossant, K. Grieve, M. Paques, Highlighting directional reflectance properties of retinal substructures from D-OCT images, IEEE Transactions on Biomedical Engineering (TBME), 2019.
- N. Lermé, F. Rossant, I. Bloch, M. Paques, E. Koch, J. Benesty, A Fully Automatic Method For Segmenting Retinal Artery Walls in Adaptive Optics Images, Pattern Recognition Letters, 2016, Vol. 72, pp 72-81.
- F. Rossant, I. Bloch, I. Ghorbel, M. Pâques, Parallel Double Snakes. Application to the segmentation of retinal layers in 2D-OCT for pathological subjects, Pattern Recognition 48 (2015), pp. 3857-3870, 2015.
- U. Verma, F. Rossant, I. Bloch, Segmentation and Size Estimation of Tomatoes from Sequences of Paired Images, EURASIP Journal on Image and Video Processing, 2015(1), 1-23.
- I. Ghorbel, F. Rossant, I. Bloch, S.Tick, M. Pâques, Automated Segmentation of Macular Layers in OCT Images and Quantitative Evaluation of Performances, Pattern Recognition, vol. 44, no. 8, pp. 1590–1603, 2011.
- F. Rossant, B. Mikovicova, M. Adam, M. Trocan, A Robust Iris Identification System Based on Wavelet Packet Decomposition and Local Comparisons of the Extracted Signatures, EURASIP Journal on Advances in Signal Processing, vol. 2010, Article ID 415307, 16 pages, 2010.
- F. Rossant, I. Bloch, Robust and Adaptive OMR System Including Fuzzy Modeling, Fusion of Musical Rules, and Possible Error Detection, EURASIP Journal on Advances in Signal Processing, vol. 2007, Article ID 81541, 25 pages, 2007.
- F. Rossant, I. Bloch, A fuzzy model for optical recognition of musical scores, Fuzzy Sets and Systems, vol. 141, n°2, pp. 165-201, 2004.

> Conferences & workshops:
- I. Trimeche, F.Rossant, I. Bloch, M. Paques, Segmentation of retinal arterial bifurcations in 2D adaptive optics ophthalmoscopy images, IEEE International Conference on Image Processing ICIP'19, Taipei, Taiwan, September 2019.
- N. Lermé, F. Rossant, I. Bloch, M. Pâques, E. Koch, Segmentation of Retinal Arteries in Adaptive Optics Images, International Conference on Pattern Recognition (ICPR 2014), pp 574-578, Stockholm, Sweden, August 2014. Best Scientific Paper Award, Track Biomedical Image Analysis.

> General links:
- https://sites.google.com/site/rossantflorence/research-and-funds/publications
- https://scholar.google.com/citations?hl=en&user=5dtFMMwAAAAJ

Other links:
- https://sites.google.com/site/rossantflorence/home
- Citation Google scholar: https://scholar.google.com/citations?hl=en&user=5dtFMMwAAAAJ
- Linkedin: https://fr.linkedin.com/in/florence-rossant-37469962
- https://www.researchgate.net/profile/Florence_Rossant

+33 (0)1 48 54 52 62
florence.rossant[at]isep[dot]fr

Dr. Frédéric Amiel

ECos Team

Frédéric Amiel got his DEA (MSc) in computers system in 1985, one year after his engineering degree in electronics. He worked for several small companies as a hardware developer and joined ISEP in 1992. Since this time, he is assistant professor. He has worked as a consulting engineer for several companies and also, he made judicial expertise. He is now in charge of the Electronics Program and the Embedded Systems Specialization at ISEP and a member of the ECOS research team. His research focuses on hardware architectures for specialized computing.

Research interests :
- Digital Electronic
- Embedded Systems ...

Teaching (only EC) :
Resp of Electronic domain – Embedded System track
Courses: Computer architecture / Digital systems

Publications :
List the most (recent) important publications
- Aysha Kadaikar, Maria Trocan, Patricia Conde-Cespedes, Frédéric Amiel, Variable Complexity Neural Networks Comparison for Pollen Classification, in International Journal of Biology and Biomedical Engineering, Naun, 2019.
- Aysha Kadaikar, Maria Trocan, Frédéric Amiel, Patricia Conde-Cespedes, Sharp images detection for microscope pollen slides observation, in ACIIDS'2019, Springer, 2019.
- Patrick Wang, Ilaria Renna, Frédéric Amiel, xun zhang, Learning with Robots in CS and STEM Education: A Case Study with ISEP-R0B0, in Workshop Robots4Learning @ Human Robot Interaction, 2018.
- Michel Bouchoucha, Amiel Frédéric, Robert Benamouzig, RFIDTRANSIT - A New Non-Irradiant Method of Measure of Total and Segmental Colonic Transit Time, in Gastroenterology 150(4):S531-S532 · April 2016, Elsevier, 2016.
- Amiel Frédéric, Abdaoui Rahma, Bouchoucha Michel, Electronics for Gastroenterology: Two systems dedicated to colonic transit investigation, in IMAPS - Lyon, 2016.
- Amiel Frédéric, Boubacar Barry, Maria Trocan, Marc Swynghedauw, Real Time Image Compression for Eye Tracking Applications, in LASCAS'15, IEEE, 2015.

> General links:
https://dblp.org/pers/hd/a/Amiel:Fr=eacute=d=eacute=ric

+33 (0)1 49 54 52 52
frederic.amiel[at]isep[dot]fr

Dr. Yousra Chabchoub

ECos Team

Yousra Chabchoub is an associate professor at ISEP since September 2010. She is head of the Networks and Telecom teaching domain. Her research interests include data mining, data streams analysis and real-time anomalies detection. She completed her PhD in INRIA, in close collaboration with Orange Labs on the analysis and modelling of IP traffic. Then she joined the BILAB (Business Intelligence LABoratory) in Télécom-ParisTech, where she worked with EDF R&D on the analysis of Linky smart meters data.

She also received her engineering degree from Télécom SudParis, with a specialization in Network’s Services Architectures and her Master’s degree in Networks from Pierre et Marie Curie University.

She significantly contributed to several research projects such as OSCAR (ANR), Waves (FUI) and Bike Sharing Systems (PGMO) and co-supervised 2 PhD students.

Research interests :
- Data streams analysis
- Outliers detection
- Machine learning

Formations :
- Head of the Networks and Telecom teaching domain
- Resp. of the Networks course
- Resp. of the Risk Management and Audit course

Publications :
List the most (recent) important publications
> Journals:
- Yousra Chabchoub, Rayane EL Sibai, Christine Fricker, Bike sharing systems: a new incentive rebalancing method based on spatial outliers’ detection, International Journal of Space-Based and Situated Computing, 2019.
- Amadou Fall, Zakia Kazi-Aoul, Aliou Boly, Yousra Chabchoub. C- SPARQL extension for sampling RDF graphs streams. Advances in Knowledge Discovery and Management (AKDM), volume 7, 2017.
- Yousra Chabchoub, Raja Chiky and Betul Dogan. How can Sliding HyperLogLog and EWMA detect portscan attacks in IP traffic? EURASIP Journal on Information Security, Special issue on Cyber-Crime : New Trends, Challenges and Detection, 2014.
- Yousra Chabchoub, Christine Fricker and Philippe Robert. Improving the detection of On-line Vertical Port Scan in IP Traffic. International Journal of Secure Software Engineering (IJSSE), 2013.

> Chapters:
- Rayane EL Sibai, Jacques Abou Abdou, Yousra Chabchoub, Jacques Demerjian, Raja Chiky, Kablan Barbar: Data summarization using sampling algorithms: Data streams case study, Principles of Data Science, 2019.

> Conferences & workshops:
- Maurras, Togbe, Yousra Chabchoub, Aliou Boly, Raja Chiky: Etude comparative des méthodes de détection d'anomalies, EGC 2020.
- Yousra Chabchoub, Rayane EL Sibai, Christine Fricker, Systèmes de vélo-partage : Détection de stations localement atypiques et application à la régulation, RFTM 2019.
- Rayane EL Sibai, Yousra Chabchoub, Jacques Demerjian: Towards Efficient Data Sampling for Temporal Anomaly Detection in Sensor Networks, Menacomm 2019.
- Rayane EL Sibai, Yousra Chabchoub, Raja Chiky, Jacques Demerjian, Kablan Barbar: An in-depth analysis of CUSUM algorithm for change detection of process mean and variability in time series. 16 th International Symposium on Web and Wireless Geographical Information Systems (W2GIS), 2018.
- Rayane EL Sibai, Yousra Chabchoub, Christine Fricker: Using spatial outliers detection to assess balancing mechanisms in bike sharing systems. The 32nd IEEE International Conference on Advanced Information Networking and Applications (IEEE AINA), 2018.
- Rayane EL Sibai, Yousra Chabchoub, Raja Chiky, Jacques Demerjian, Kablan Barbar : Assessing and improving sensors data quality in streaming context. 9th International Conference on Computational Collective Intelligence (ICCCI), 2017.

Other links:
- http://perso.isep.fr/ychabcho/
- https://dblp.uni-trier.de/pers/c/Chabchoub:Yousra.html
- https://www.researchgate.net/profile/Yousra_Chabchoub
- https://scholar.google.fr/citations?user=ctJOerMAAAAJ&hl=fr

+33 (0)1 49 54 52 35
yousra.chabchoub[at]isep[dot]fr

Dr. Zakia Kazi-Aoul

DaSSIP Team

Zakia KAZI-AOUL is an associate professor in Computer Science and responsible of the Computer Science teaching domain. She began her career in research by integrating the DEA distributed architecture at the University of Paris XI, Orsay. After a PHD at Telecom ParisTech in the 3S team obtained in 2008, she completed a post-doctorate at Telecom SudParis in the CNRS SAMOVAR laboratory (ACMES team). Her current research activities concern the management of semantic data streams on a large scale. She is also particularly interested in educational innovation, and more recently in collaborative learning.

Research interests :
- Semantic Web
- Data stream management
- Human-Computer Interaction

Teaching :
- Head of the Computer Science Domain
- Software Engineering
- Project-based learning (Web technologies)
- Information Systems Architecture

Publications :
- Rayane EL, Yousra Chabchoub, Jacques DEMERJIAN, Zakia Kazi-Aoul, Kablan BARBAR, Sampling Algorithms in Data Stream Environments: A Survey, in IEEE, ICDEc International Conference on Digital Economy Emerging Technologies and Business Innovation, 2016.
- Fethi Belghaouti, Amel Bouzeghoub, Zakia Kazi-Aoul, Raja Chiky, FreGraPaD: Frequent RDF Graph Patterns Detection for semantic data streams, in RCIS, 2016.
- Fethi Belghaouti, Amel Bouzeghoub, Zakia Kazi-Aoul, Raja Chiky, Patorc: Pattern Oriented Compression for Semantic Data Streams, in COOPIS, Elsevier, 2016.
- Fethi Belghaouti, Amel Bouzeghoub, Zakia Kazi-Aoul, Raja Chiky, POL: a Pattern Oriented Load-Shedding for Semantic Data Stream Processing, in WISE, Springer, 2016.
- Xiangnan Ren, Houda Khrouf, Zakia Kazi-Aoul, Yousra Chabchoub, Olivier Curé, On measuring performances of C-SPARQL and CQELS, in ISWC 2016, Stream Reasoning workshop, 2016.
- Xiangnan Ren1, Olivier Curé, Houda Khrouf, Zakia Kazi-Aoul, Yousra Chabchoub, Apache Spark and Apache Kafka at the rescue of distributed RDF Stream Processing engines, in ISWC 2016, Poster, 2016.
- Fethi Belghaouti, Amel Bouzeghoub, Zakia Kazi-Aoul, Raja Chiky, A query based graph-oriented load-shedding for stream processing, in IWCIM, IEEE, 2016.
- Ndéye Bousso, Amadou Fall, Aliou Boly, Zakia Kazi-Aoul, Raja Chiky, An efficient approach for real-time processing of RDSZ-based compressed RDF streams, in Software Engineering Research, Management and Applications (SERA 2017), IEEE (CPS), 2017.
- Amadou Fall, Zakia Kazi-Aoul, Aliou Boly, Elisabeth Metais, DRSP: Distributed RDF Streams Processing, in Software Engineering Research, Management and Applications (SERA 2017), IEEE (CPS), 2017.
- Amadou Fall, Zakia Kazi-Aoul, Aliou Boly, Elisabeth Metais, Fast SPARQL Join Processing between Distributed Streams and Stored RDF Graphs Using Bloom Filters, in IEEE 12th International Conference on Research Challenges in Information Science (RCIS), 2018.

> General links:
https://scholar.google.com/citations?hl=fr&user=s73oIl0AAAAJ

Other links:
- Personal site web: http://perso.isep.fr/zkazi
- Likedin: https://www.linkedin.com/in/zakia-kazi-aoul-0a29ab8/

01.49.54.52.68
zakia.kazi[at]isep[dot]fr

Prof. Maria Trocan

DaSSIP Team

Maria Trocan received her M.Eng. in Electrical Engineering and Computer Science from Politehnica University of Bucharest in 2004, the Ph.D. in Signal and Image Processing from Telecom ParisTech in 2007 and the Habilitation to Lead Researches from Pierre & Marie Curie University in 2014. In May 2009 she joined ISEP, where between 2011 and 2018 she is responsible of the Signal Processing Program and since March 2018 she is in charge of the Data Science Program and Scientific Integrity referent. She is Deputy Editor in Chief for IEEE Open Journal on Circuits and Systems, Associate Editor for Springer Journal on Signal, Image and Video Processing etc. In 2014 she has been elected IEEE France Vice-President for Student Activities and IEEE Circuits and Systems Board of Governors member. She has been re-elected as IEEE France Vice-President for Student Activities in 2017 and Chair of Technical Activities and Membership Development in 2020.

Research interests :
- Sparse signal models
- Image and video analysis and compression
- Learning models

Teaching :
Responsible of Data Science Program
- Resp. of Signal Acquisition and Processing
- Resp. of Introduction to Artificial Intelligence
- Resp. of 3D, Mixed and Augmented Reality

Publications :
List the most (recent) important publications
> Journals:
- H. Li, M. Trocan and D. Galayko Virtual Fingerprint and Two-Way Ranging-based Bluetooth 3D Indoor Positioning with RSSI Difference and Distance Ratio. Taylor & Francis, Journal of Electromagnetic Waves and Applications, DOI: 10.1080/09205071.2019.1667268, Sept. 2019.
- A. Akbari, M. Trocan, S. Sanei and B. Granado Joint Sparse Learning with Nonlocal and Local Image Priors for Image Error Concealment. IEEE Transactions on Circuits and Systems for Video Technology, DOI: 10.1109/TCSVT.2019.2927912, June 2019.
- H. Li and M. Trocan Sparse Reconstruction of ISOMAP Representations. Journal of Intelligent & Fuzzy Systems, Applications in Engineering and Technology, IOS Press, April 2019.
- M. Trevisi, A. Akbari, M. Trocan, Angel Rodriguez-Vazquez and Ricardo Carmona Galan Compressive Imaging using RIP-compliant CMOS Imager Architecture and Landweber Reconstruction. IEEE Transactions on Circuits and Systems for Video Technology, 10.1109/TCSVT.2019.2892178, Jan. 2019.
- P. Morozkin, M. Trocan and M. Swynghedauw Image Compression Approaches for Resource Constrained Devices. Int. Journal on Information and Telecommunications, Taylor & Francis, Feb. 2019.

> Conferences & workshops:
- E. Yilmaz and M. Trocan Benign and Malignant Skin Lesion Classification Comparison for Three Deep-Learning Architectures. Proc. of 12th Asian Conference on Intelligent Information and Database Systems, ACIIDS'20, Phuket, Thailand, March 2020.
- A. Akbari, M. Trevisi and M. Trocan Adaptive Compressed Sensing Image Reconstruction Using Binary Measurement Matrices. In Proc. of the 25th IEEE International Conference on Electronics Circuits and Systems, ICECS’2018, Bordeaux, France, Dec. 2018.
- H. Li and M. Trocan Deep Residual Learning -Based Reconstruction of Stacked Autoencoder Representation. In Proc. of the 25th IEEE International Conference on Electronics Circuits and Systems, ICECS’2018, Bordeaux, France, Dec. 2018.
- A. Akbari and M. Trocan Downsampling based Image Coding using Dual Dictionary Learning and Sparse Representations. In Proc. of the 20th International Workshop on Multimedia Signal Processing, MMSP’18, Vancouver, Canada, Aug. 2018.
- A. Akbari and M. Trocan Robust Image Reconstruction for Block-based Compressed Sensing using a Binary Measurement Matrix. In Proc. of the IEEE International Conference on Image Processing, ICIP’18, Athens, Greece, Oct. 2018.

> General list:
https://scholar.google.com/citations?user=XEnZikgAAAAJ&hl=en

Other links:
- https://www.researchgate.net/profile/Maria_Trocan
- https://www.linkedin.com/in/mariatrocan/
- https://tinyurl.com/u6e5j5f

+33 (0)1 49 54 52 30
maria.trocan[at]isep[dot]fr

Dr. Shohreh Ahvar

DaSSIP Team

Shohreh Ahvar is an Associate Professor at the engineering school of ISEP, Paris, where she is currently the Head of the Software Engineering major. Prior to joining ISEP, Shohreh was a postdoctoral fellow at Inria, Paris. She obtained her PhD degree in Computer Science and Telecommunications from the Institut Mines-Telecom, Telecom SudParis in co-accreditation with the Sorbonne University, Pierre and Marie Curie University (Paris 6). Shohreh has been involved in a number of projects, both national and international, including FUSE-IT, IDEAC, USNB, Next Generation CDNs. Shohreh also worked as a collaborating researcher at the Concordia University, Canada, on a project funded by Ericsson. Shohreh has published more than 20 papers in the domain of Cloud, WSN, Middleware and Virtualization and has invented a network-aware resource allocation method in distributing clouds, which has been granted an European Patent. Shohreh has often been invited as a member of Technical committees for international conferences and workshops.

Research interests :
- Big Data
- Internet of Things
- Softwarisation

Teaching :
Head of the Software Engineering Major
- Resp. of the Advanced Algorithmic and Programming course
- Resp. of the Distributed Architectures and Programming course

Publications :
> Journals :
- Copeland, R.; Copeland, M.; Ahvar, S.; Crespi, N.; Duquerrois, J. M.; Paganelli, F.; Battisti, F.; Neri, A.; Durand, R., "Automotive Virtual Edge Communicator (AVEC) with Vehicular Inter-agent Service Orchestration & Resourcing (ViSOR)", Special Issue of Annals of Telecommunications on Techniques for smart & secure 5G softwarized networks, 2019.
- Angarita, R.; Lefèvre, B.; Ahvar, S.; Ahvar, E.; Georgantas, N.; Issarny, V., "Universal Social Network Bus: Towards the Federation of Heterogeneous Online Social Network Services", ACM Transactions on Internet Technology, 2019.
- Dieye, M.; Ahvar, S.; Sahoo, J.; Ahvar, E.; Glitho, R.; Elbiaze, H.; Crespi, N., "CPVNF: Cost-efficient Proactive VNF Placement and Chaining for Value-Added Services in Content Delivery Networks", IEEE Transactions on Network and Service Management (TNSM), 2018.
- Ahvar, E.; Lee, G.; Crespi, N.; Ahvar, S., "RER: a Real time Energy efficient Routing protocol for query-based applications in WSNs", in Telecommunication Systems journal (ISI), Springer, 2016.

> Book Chapters:
- Ahvar, E. and Ahvar, S., "Chapter 3: Energy-Efficient Green Virtual Machine Placement Techniques: From Centralized to Distributed Clouds" in "Virtual Machines: Advances in Applications and Research", Selam T. Mortensen, Nova 2020.

> Patents:
- Ahvar, E.; Ahvar, S.; Crespi, N.; Garcia, J., "A network aware resource allocation method in distributed clouds", European Patent (EP15305749.2), 2015.

> Conferences & workshops:
- Guisiano, J.E; Chiky, R.; ORENSANZ, J., Ahvar, S., "Multilayered Ensemble Learning for short-term forecast of agro-climatic variables", 6th International Conference on Computer and Technology Applications (ICCTA), 2020, Turkey.
- Guisiano J.E.; Chiky, R.; Orensanz, J.; Ahvar, S., "Apprentissage Ensembliste Multicouche pour la prévision à court terme de variables agro-climatiques", Conference EGC, 2020. Bruxelles [Poster].
- Ahvar, S.; Mirzaei, M. M.; Leguay, J.; Ahvar, E.; Medhat, A. M.; Crespi, N.; Glitho, R., "SET: a Simple and Effective Technique to improve cost efficiency of VNF Placement and Chaining Algorithms for Network Service Provisioning", 4th IEEE Conference on Network Softwarization (NetSoft), 2018, Canada [short paper].
- Tamani, N.; Ahvar, S.; Santos, G.; Istasse, B.; Praca, I.; Brun, P. E.; Ghamri-Doudane, Y.; Crespi N.; and Becue, A., "Rule-Based Model for Smart Building Supervision and Management", SCC 2018, San Francisco, USA.

Other links:
- https://dblp.org/pers/hd/a/Ahvar:Shohreh
- Linkedin: https://fr.linkedin.com/in/shohreh-ahvar-b6360149
- https://www.researchgate.net/profile/Shohreh_Ahvar
- Google scholar: https://scholar.google.com/citations?user=x0kqLCQAAAAJ&hl=en

+33 (0)1 49 54 52 36
sahvar[at]isep[dot]fr

Dr. Rafael Angarita

DaSSIP Team

Rafael Angarita is an Associate Professor at Isep since September 2017 where he is the head of the Information Systems track. He is also an Associate Researcher at Inria, MiMove team, where he was a postdoctoral researcher before joining Isep. He obtained a Ph.D. in Computer Science from the University Paris-Dauphine - PSL Research University in December 2015 and a Master’s Degree in Computer Science from the Simon Bolivar University. He has participated in several projects such as EIT Digital Civic Tech and Participatory Democracy, Inria Technological development assisting research for SocialBus, IPL Inria@SilliconValley, and EIT Digital CivicBudget and in an ongoing collaboration with the United Nations Environment Programme (UNEP). He has also been a visiting scholar at the University of Leicester (2014) and UC Berkeley (2016).

The general goal of his research is to make it easy to connect the world’s applications, data, devices, and people by leveraging Software Engineering, Service Computing and Middleware research.

Research interests :
- Software Engineering
- Middleware
- Service Computing

Teaching :
Head of the Information System Architecture Major
- Resp. of the Advanced Databases and Big Data course
- Resp. of the BI Tools and Methods course
- Res. of the Digital Citizenship joint course with the ICP

Publications :
List the most (recent) important publications
> Journals:
- Rafael Angarita, Bruno Lefevre, Shohreh Ahvar, Ehsan Ahvar, Nikolaos Georgantas, Valérie Issarny:
Universal Social Network Bus: Toward the Federation of Heterogeneous Online Social Network Services. ACM Trans. Internet Techn. 19(3): 38:1-38:19 (2019).
- Rafael Angarita, Marta Rukoz, Yudith Cardinale:
Modeling dynamic recovery strategy for composite web services execution. World Wide Web 19(1): 89-109 (2016).

> Conferences & workshops:
- Shufan Jiang, Rafael Angarita, Raja Chiky, Stéphane Cormier and Francis Rousseaux. “Towards the integration of agricultural data from heterogeneous sources: perspectives for the French agricultural context using semantic technologies”. First International Workshop on Information Systems Engineering for Smarter Life (ISESL) 2020 at the 32nd International Conference on Advanced Information Systems Engineering. 2020 (to appear).
- Grigorios Piperagkas, Rafael Angarita and Valerie Issarny. “Social Participation Network: Linking things, services and people to support participatory processes”, First International Workshop on Information Systems Engineering for Smarter Life (ISESL) 2020 at the 32nd International Conference on Advanced Information Systems Engineering. 2020 (to appear)
- Rafael Angarita, Nikolaos Georgantas, Valérie Issarny: “ Social Middleware for Civic Engagement”. ICDCS 2019: 1777-1786
- Rafael Angarita, Alexandre Dejous, Patrick Blake: “From centralized to decentralized blockchain-based product registration systems: the use case of lighting and appliances”. INFOCOM Workshops 2019: 650-655
- Merzoug Soltane, Yudith Cardinale, Rafael Angarita, Philippe Rosse, Marta Rukoz, Derdour Makhlouf, Okba Kazar:” A Self-adaptive Agent-based System for Cloud Platforms”. PAIS 2018: 1-8
- Zakaria Maamar, Noura Faci, Khouloud Boukadi, Emir Ugljanin, Mohamed Sellami, Thar Baker, Rafael Angarita: “ How to agentify the Internet-of-Things?” RCIS 2018: 1-6
- Patrick Wang, Rafael Angarita, Ilaria Renna:”Is this the Era of Misinformation yet: Combining Social Bots and Fake News to Deceive the Masses”. WWW (Companion Volume) 2018: 1557-1561
- Rafael Angarita, Nikolaos Georgantas, Valérie Issarny: “ USNB: Enabling Universal Online Social Interactions”. At the CIC 2017: 309-318
- Rafael Angarita, Nikolaos Georgantas, Cristhian Parra, James Holston, Valérie Issarny: “Leveraging the Service Bus Paradigm for Computer-Mediated Social Communication Interoperability”. At the ICSE-SEIS 2017: 67-75
- Rafael Angarita, Maude Manouvrier, Marta Rukoz: “ An Agent Architecture to Enable Self-healing and Context-aware Web of Things Applications”. At the IoTBD 2016, pp. 82-87.
- Rafael Angarita, Marta Rukoz, Maude Manouvrier, Yudith Cardinale: “ A knowledge-based approach for self-healing service-oriented applications”. At the Proc. of the MEDES 2016: 1-8

Other links:
- https://rafaelangarita.github.io/
- Google scholar: https://scholar.google.fr/citations?user=LNxRX74AAAAJ&hl=en
- Linkedin: https://www.linkedin.com/in/rafaelangarita/
- https://dblp.uni-trier.de/pers/hd/a/Angarita:Rafael

+33 (0)1 49 54 52 36
rafael.angarita[at]isep[dot]fr

Dr. Alexis Brenes

ECos Team

Alexis Brenes, PhD, was born in Brussels, Belgium, in 1987 and has been living in France since 2002. He earned his PhD degree from Université Paris-Saclay in 2016 in the field of microelectronics under the supervision of Pr. J. Juillard. His academic record includes an Engineering degree from Ecole Centrale Paris (ECP), Châtenay-Malabry, France in 2010 and two Master’s degrees in Physics and Nanotechnology from Ecole Normale Supérieure (ENS), Cachan, France, in 2012 and 2013. After a post-doctoral research contract in the C2N laboratory in the field of energy harvesting based on active materials, he is now associate professor at ISEP. His research interests cover the design, test and optimization of nonlinear multiphysics systems with applications in energy harvesting, sensors, MEMS and nonlinear oscillators.

Research interests :
- Sensors and transducers
- Energy harvesting
- Automatics
- Nonlinear dynamics

Teaching (only EC) :
- Responsible of the Master level course "Automatics and Real-Time Systems"
- Coordinator for the creation of new subjects of Project-based teaching
Tutor of Project-based teaching

Publications :
List the most (recent) important publications
> Patent:
- A. Brenes, E. Lefeuvre, C.-S. Yoo, "Circuit adaptatif à suivi de point de puissance maximale pour récupérateur d’énergie piézoélectrique", 2017.

> Journal articles:
- E. Lefeuvre, A. Badel, A. Brenes, S. Seok, M. Woytasik, C.-S. Yoo, “Analysis of piezoelectric energy harvesting system with tunable SECE interface”, Smart Materials and Structures, 26, 3, 035065, 2017.
- E. Lefeuvre, A. Badel, A. Brenes, S. Seok, C.-S. Yoo, “Power and frequency bandwidth improvement of piezoelectric energy harvesting devices using phase-shifted SECE interface circuit”, J. of Intelligent Material Systems and Structures, 28, 20, pp. 2988-2995, 2017.
- J. Juillard, A. Brenes, “Impact of excitation waveform on the frequency stability of electrostatically-actuated micro-electromechanical oscillators,” Journal of Sound and Vibration, 422, pp. 79-91, 2018.
- A. Brenes, B. Vysotskyi, E. Lefeuvre and J. Juillard, “Nondestructive gap dimension estimation of electrostatic MEMS resonators from electrical measurements,” Mechanical Systems and Signal Processing, pp 10-21, 2018.
- A. Brenes, E. Lefeuvre, A. Badel, S. Seok and C.-S. Yoo, “Unipolar synchronized electric charge extraction for piezoelectric energy harvesting,” Smart Materials and Structures, 27, 075054, 2018.
- A. Brenes, E. Lefeuvre, S. Seok, C.-S. Yoo, “Tunable unipolar synchronized electric charge extraction strategy for piezoelectric energy harvesting”, Journal of Intelligent Material Systems and Structures, 30, 11, 2019.
- A. Brenes, E. Lefeuvre, A. Badel, S. Seok, C.-S. Yoo, “Shunt-diode rectifier: a new scheme for efficient piezoelectric energy harvesting”, Smart Materials and Structures, 28, 1, 015015.
- A. Brenes, A. Morel, D. Gibus, C.-S. Yoo, P. Gasnier, E. Lefeuvre, A. Badel, “Large-bandwidth piezoelectric energy harvesting with frequency-tuning synchronized electric charge extraction”, Sensors and Actuators A: Physical, 302, 111759, 2020.
- A. Brenes, A. Morel, J. Juillard, E. Lefeuvre, A. Badel, “Maximum power point of piezoelectric energy harvesters: a review of optimality condition for electrical tuning”, Smart Materials and Structures, 29, 3, 033001, 2020.

> General links:
https://hal.archives-ouvertes.fr/search/index/?q=%2A&authIdHal_s=alexis-brenes

Other links:
- Google scholar: https://scholar.google.com/citations?hl=en&user=isLhWgMAAAAJ
- Likedin: https://www.linkedin.com/in/alexis-brenes-651a0b98/

+33 (0) 149475269
alexis.brenes[at]isep[dot]fr

Dr. Patricia Condes-Cespedes

DaSSIP Team

Patricia Conde Céspedes is an assistant professor at ISEP engineering school and a member of the DaSSIP team of the LISITE Laboratory. Her teaching activities concern data science subjects such as Machine Learning, Probability and Statistics, Algorithmic, etc. She has supervised projects for students coming from prestigious universities such as Stanford University. Previously, she was a postdoctoral researcher at L2TI, University Paris 13. In 2013, she defended her Ph.D. thesis about graph clustering/community detection at Sorbonne University Campus Pierre et Marie Curie. Before her Ph.D., she received a Master degree in statistics and a B.Sc. degree in industrial engineering. She participated in the Big Data analysis projects REQUEST and POLLEN. In Bolivia, her native country, she was awarded the Guido Capra Jemio prize for being the best student of the major. She was also awarded twice by the French Government to get her Master’s degree and her PhD thesis.

Research interests :
- Graph clustering/community detection
- Natural language processing (NLP)
- Computer Vision
- Optimization

Teaching :
- Resp of Machine Learning
- Data Science fundamentals (Probability and statistics for data science).
In general, subjects concerning data science

Publications :
List the most (recent) important publications 10 max papers
> Journals:
- Patricia Conde-Cespedes (2019): “Local Community Detection of High Density: an Upper Bound for the Optimal Solution” dans Sensors and Transducers Journal, Vol. 234, Issue 6, June 2019.
- Aysha Kadaikar, Maria Trocan, Patricia Conde-Cespedes et Frédéric Amiel (2019): “Variable Complexity Neural Networks Comparison for Pollen Classification” dans International Journal of Biology and Biomedical Engineering, Vol 13, pp.38-45.
- P. Conde-Céspedes, B. Ngonmang and E. Viennet (2018), "An efficient method for mining the maximal α-quasi-clique-community of a given node in complex networks", Social Network Analysis and Mining, December 2018, 8:20.

> Book Chapters:
- P. Conde-Céspedes, F. Marcotorchino and E. Viennet, "Comparison of linear modularization criteria using the relational formalism, an approach to easily identify resolution limit", AKDM6, "Advances in Knowledge Discovery and Management", pp. 101-120, 2017.

> Conferences & workshops:
- D. Grosz and P. Conde-Céspedes (2020) “Automatic Detection of Sexist Statements Commonly used at the Workplace” workshop on Learning Data Representation for Clustering (LDRC) in conjunction with PAKDD, Singapur, May 11th.
- A Kadaikar, M Trocan, F Amiel, P Conde-Cespedes, B Guinot, RS Estève, Dominique Baisnée, Gilles Oliver (2019) : « Sharp Images Detection for Microscope Pollen Slides Observation” Asian Conference on Intelligent Information and Database Systems, 661-671.
- Aysha Kadaikar, Benjamin Guinot, Maria Trocan, Frédéric Amiel, Patricia Conde-Cespedes, Gilles Oliver, Michel Thibaudon, Roland Sarda-Esteve, Dominique Baisnée (2019): “Automatic Pollen Grains Counter”, 3rd International Conference on Bio-engineering for Smart Technologies (BioSMART).
- P Conde-Cespedes, J Chavando, E Deberry (2018): “Detection of Suspicious Accounts on Twitter Using Word2Vec and Sentiment Analysis” International Conference on Multimedia and Network Information System, 362-371.

> General list:
Personal website: http://perso.isep.fr/pconde/

Other links:
- Personal website: http://perso.isep.fr/pconde/
- Google scholar: https://scholar.google.fr/citations?user=vHXQMyoAAAAJ&hl=fr
- Linkedin: https://www.linkedin.com/in/patricia-conde-cespedes-55582824/

01.49.54.52.41
patricia.conde-cespedes[at]isep[dot]fr

Dr. Mariam Dème Camara

ECos Team

Mariam D. CAMARA is an associate professor in electronics in ISEP (Institut Supérieur d’Electronique de Paris). She obtained an engineering degree in electronics and digital technologies at Polytech Nantes in 2012 and a PhD in micro and nanoelectronics at Aix-Marseille University in 2016. She gained research experience both at the IM2NP (Institut Matériaux Microélectronique Nanoscience de Provence) and LISITE (Laboratoire d’Informatique , Signal, Télécommunication et Electronique) laboratories. Her research has been primarily concerned on inkjet printing. She realized different sensors (temperature and pressure) on flexible substrate using this technology for medical application. She continues her research on flexible printed electronics and energy Harvesting.

Research interests :
- Flexible printed electronics
- Sensors and instrumentations
- Semiconductor physics ...

Teaching (only EC) :
Resp of the courses IE.1201 – APP Elec /signal Electronic component, IE.2301 – APP Elec/Signal IEMDP and IE. 2408 – Instrumentation and systems for health

Publications :
List the most (recent) important publications 10 max papers
- Dankoco, M.D. & Tesfay, G.Y. & Bènevent, Evangéline & Bendahan, M.Marc. (2015). Temperature Sensor Realized by Inkjet Printing Process on Flexible Substrate. Materials Science and Engineering: B. 205. 10.1016/j.mseb.2015.11.003.
- Evangéline Bènevent, Mariam Dème Dankoco, Emmanuel Bergeret.Modeling and characterization of full-printed passive components.Innovative Printed Smart Objects Conference (IPSO), Oct 2012, Gardanne, France.
- M.D. Dankoco, E. Bènevent, E. Bergeret, M. Guerin, L. Gallais and M. Bendahan, Study and realization of temperature sensor on flexible substrate, IPSO – Innovative printed Smart Objects Conference, Novembre 2013, Gardanne France.
- M.D. Dankoco, E. Bènevent, E. Bergeret, L. Gallais, and M. Bendahan, Temperature Sensor on flexible substrate patterned by laser ablation, 10th International Conference on advanced Semiconductor Devices and Microsystems (ASDAM 2014), Octobre 2014, Slovakia.
- M.D. Dankoco, E. Bènevent, E. Bergeret, L. Gallais, and M. Bendahan, Etude et réalisation de capteurs de température sur support souple, E-MRS, Matériaux et Applications aux Dispositifs Capteurs, Novembre 2014, Mahdia, Tunisie.
- M. D. Dankoco, G. Y. Tesfay, E. Bénevent, M. Bendahan, Flexible temperature sensor realized by inkjet process, 8th International Symposium on Flexible Organic Electronics (ISFOE 2015), Juillet 2015, Grèce.
- M. D. Dankoco, E. Bènevent, L. Gallais, S. Escoubas and M. Bendahan, Metallic temperature sensors on flexible substrate: Direct laser patterning, Inkjet printing, Sensors Energy harvesting wireless Network and Smart Objects (SENSO 2015), Octobre 2015, Gardanne France.
- M. D. Dankoco, E. Bènevent, T. Fiorido and M. Bendahan, INKJET-PRINTED FORCE SENSOR FOR MEDICAL APPLICATIONS, Sensors Energy harvesting wireless Network and Smart Objects (SENSO 2016), Gardanne France.
- M. Dème Dankoco, Evangéline Bènevent, Marc Bendahan, Inkjet printed sensors (temperature and pressure) on flexible substrate for medical applications
- EMN Organic Electronics and Photonics Meeting, Sep 2016, San Sebastian, Spain.〈hal-01456069〉
- Evangéline Bènevent, Mariam Dème Dankoco, Marc Bendahan. Inkjet-Printed ON/OFF Force Sensor on Flexible Substrate for Ultra-Low Power Applications. Eurosensors , Sep 2017, Paris, France. 1, 2017, 〈10.3390/proceedings10406 〈hal-01698542〉

Other links:
- Linkedin: https://www.linkedin.com/in/mariam-d%C3%A8me-camara-b71b88120/

+33 (0)1 49 54 52 63
mariam.camara[at]isep[dot]fr

Dr. Kevin Malleron

ECos Team

Former technician (Electronic systems technical degree), Kevin Malleron join the Ecole Normal Superieur in 2011 and widen his field through applied physics before getting back to instrumentation and measure by joining ESPCI in 2014. His fields of research (PHD at Sorbonne university in 2018), wireless power transfer using magnetoelectric materials, reflects his studies, half-way between materials, instrumention and electronics.
His works, applied to the biomedical field, led him to obtain a best poster award in the JETSAN 2017 conference, the bronze award EIT Health in 2018 along with the ANR BIOMEN in order to keep developing this multi-physical technologie. He joined ISEP – exclusive partener in France with Stanford University – at the start of the 2018 school year as an associate professor and take the head of the analog electronics unit in the embedded systems master degree.

Research interests :
- Wireless power transfer
- Instrumentation
- Multi-physic models ...

Teaching (only EC) :
Resp of the course Analog systems, Architecture of computers, and the Project "Cordées de la réussite"

Publications :
> Journals:
- K Malleron, A Gensbittel, H Talleb, Z Ren, Experimental study of magnetoelectric transducers for power supply of small biomedical devices, Microelectronics Journal 88, 184-189, 2019.
- K Malleron, H Talleb, A Gensbittel, Z Ren, Finite-Element Modeling of Magnetoelectric Energy Transducers With Interdigitated Electrodes, IEEE Transactions on Magnetics 53 (6), 1-4,2017.

> Conferences & workshops:
- K Malleron, A Gensbittel, H Talleb, Automatic low cost magnetoelectric coefficient at resonance and effective deliverable power measurement bench, Conference EHS 2019, 2019.
- K Malleron, Modélisation multiphysique, caractérisation et conception de transducteurs magnétoélectriques pour l'alimentation de capteurs biomédicaux autonomes, 2018.
- K Malleron, A Gensbittel, H Talleb, Z Ren, Etude expérimentale d'un transducteur magnétoélectrique pour les besoins de la télé-alimentation de capteurs biomédicaux implantés, 2017.
- K Malleron, H Talleb, A Gensbittel, Z Ren, Investigation on efficiency of magnetoelectric composites for energy harvesting, Conference JNRSE 2016.

Other links:
- Citation Google scholar : https://scholar.google.fr/citations?user=OFKjB_MAAAAJ&hl=fr&oi=ao
- Linkedin: https://www.linkedin.com/in/k%C3%A9vin-malleron-543159174/

kevin.malleron[at]isep[dot]fr

Dr. Yahia Medjahdi

ECos Team

Yahia Medjahdi, received the Engineering degree from the National Polytechnic School, Algiers, the M.Sc. degree in signal processing for communications from the Institute Galilée, University of Paris XIII, in 2008 and the Ph.D. degree in July 2012 from the Conservatoire National des Arts et Métiers (CNAM). He is currently an assistant professor at Institut Supérieur d’Électronique de Paris (ISEP). Prior to that, he worked as a researcher in the CEDRIC laboratory of CNAM, assistant professor at Khemis-Miliana University in Algeria and served as a postdoctoral researcher in the ICTEAM laboratory at the Université Catholique de Louvain (UCL), Belgium. He has been involved in several ICT-European and French projects (PHYDYAS, EMPHATIC and WONG5) dealing with waveform design for 5G and PMR systems. His research interests include multicarrier waveform design for Beyond-5G, cooperative communications, PAPR reduction and non-linearity of power amplifiers. He has published more than 30 papers in peer-reviewed journals and international conferences, and one book chapter.

Research interests :
- Signal processing of communications
- Waveform design for PHY

Teaching (only EC) :
- Resp. of « Wireless & IoT » Track,
- Resp. of Project-based learning « Telecommunications »
- Resp. of « High data-rates » unit.

Publications :
> Journals:
- H. Shaiek, R. Zayani, Y. Medjahdi and D. Roviras, "Analytical Analysis of SER for Beyond 5G Post-OFDM Waveforms in Presence of High Power Amplifiers," in IEEE Access, vol. 7, pp. 29441-29452, 2019.
- R. Zayani, H. Shaiek, D. Roviras and Y. Medjahdi, "BER analysis of filter-bank multicarrier with offset quadrature amplitude modulation systems with phase estimation error," in IET Communications, vol. 11, no. 15, pp. 2269-2273, 19 10 2017.
- Y. Medjahdi et al., "On the Road to 5G: Comparative Study of Physical Layer in MTC Context," in IEEE Access, vol. 5, pp. 26556-26581, 2017.
- Medjahdi, Y., Terré, M., Ruyet, D.L. et al. Interference tables: a useful model for interference analysis in asynchronous multicarrier transmission. EURASIP J. Adv. Signal Process. 2014, 54 (2014).
- Bouhadda, H., Shaiek, H., Roviras, D., Zayani, R., Medjahdi, Y., et al. Theoretical analysis of BER performance of nonlinearly amplified FBMC/OQAM and OFDM signals. EURASIP J. Adv. Signal Process. 2014, 60 (2014).
- R. Zayani, H. Shaïek, D. Roviras and Y. Medjahdi, "Closed-Form BER Expression for (QAM or OQAM)-Based OFDM System With HPA Nonlinearity Over Rayleigh Fading Channel," in IEEE Wireless Communications Letters, vol. 4, no. 1, pp. 38-41, Feb. 2015.
- Y. Medjahdi, M. Terre, D. L. Ruyet, D. Roviras and A. Dziri, "Performance Analysis in the Downlink of Asynchronous OFDM/FBMC Based Multi-Cellular Networks," in IEEE Transactions on Wireless Communications, vol. 10, no. 8, pp. 2630-2639, August 2011.

> Book Chapters:
- Medjahdi Y., Le Ruyet D., Roviras D., Terré M. (2015) New Types of Air Interface Based on Filter Banks for Spectrum Sharing and Coexistence. In: (eds) Cognitive Radio and Networking for Heterogeneous Wireless Networks. Signals and Communication Technology. Springer

> Conferences & workshops:
- Y. Medjahdi, R. Zayani, H. Shaïek and D. Roviras, "WOLA processing: A useful tool for windowed waveforms in 5G with relaxed synchronicity," 2017 IEEE International Conference on Communications, Paris, 2017.
- R. Zayani, Y. Medjahdi, H. Shaiek and D. Roviras, "WOLA-OFDM: A Potential Candidate for Asynchronous 5G," 2016 IEEE Globecom, Washington, DC, 2016, pp. 1-5.

Other links:
- Citation Google scholar : https://scholar.google.fr/citations?hl=fr&authuser=1&user=wV3NEh0AAAAJ
- Linkedin : https://www.linkedin.com/in/yahia-medjahdi/

01 49 54 52 49
yahia.medjahdi[at]isep[dot]fr

Dr. Jérémie Sublime

DaSSIP Team

Jérémie Sublime is an Associate Professor at the ISEP since September 2016, where he is a member of the DaSSIP Team (Data Science, Signal and Image Processing), and the head of the Data Intelligence Major. He is also a full researcher at the LIPN - CNRS UMR 7030, where he is part of the A3 team specialized in Machine Learning.

He got a PhD in Applied Computer Science from AgroParisTech (University Paris-Saclay) in November 2016. he also owns an Engineer Degree in Software engineering & Computer Vision from the EISTI Cergy, as well as a Master’s Degree in Computer and Information Technologies from INHA University in South Korea.

Research interests :
- Unsupervised learning: clustering and multi-view clustering
- Unsupervised image analysis: satellite and medical
- Neural networks: AE, CNN, LSTM, and Kohonen models

Teaching (only EC) :
Head of the Data Intelligence Major
- Resp. of the Data Analysis course
- Resp. of the Datastream Processing course at the PPI

Publications :
List the most (recent) important publications
> Journals:
- Ekaterina Kalinicheva, Dino Ienco, Jérémie Sublime and Maria Trocan: Unsupervised Change Detection Analysis in Satellite Image Time Series using Deep Learning Combined with Graph-Based Approaches. In IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020.
- Jérémie Sublime, Guénaël Cabanes and Basarab Matei: Study on the Influence of Diversity and Quality in Entropy Based Collaborative Clustering. Entropy 2019, 21(10), 951.
- Jérémie Sublime and Ekaterina Kalinicheva: Automatic post-disaster damage mapping using Deep Learning Techniques for change detection : Case study of the Tohoku tsunami. Remote Sensing 11(09):1123 (2019).
- Jérémie Sublime, Basarab Matei, Guénaël Cabanes, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols: Entropy based probabilistic collaborative clustering. Pattern Recognition 72: 144-157 (2017).
- Jérémie Sublime, Andrés Troya-Galvis, Anne Puissant: Multi-Scale Analysis of Very High Resolution Satellite Images Using Unsupervised Techniques. Remote Sensing 9(5): 495 (2017).

> Conferences & workshops:
- Ekaterina Kalinicheva, Jérémie Sublime, and Maria Trocan: Change Detection in Satellite Images Using Reconstruction Errors of Joint Autoencoders. ICANN (3) 2019: 637-648.
- Ekaterina Kalinicheva , Jérémie Sublime and Maria Trocan: Object-Based Change Detection in Satellite Images Combined with Neural Network Autoencoder Feature Extraction. In: IEEE International Conference on Image Processing Theory, Tools and Applications IPTA 2019, Istanbul, Turkey, 2019.
- Pierre-Alexandre Murena, Jérémie Sublime, Basarab Matei and Antoine Cornuéjols: An Information Theory based Approach to Multisource Clustering. IJCAI-ECAI 2018:2581-2587, Stockholm, Sweden, 2018.
- Jérémie Sublime, Andres Troya-Galvis, Younès Bennani, Antoine Cornuéjols, Pierre Gançarski: Semantic rich ICM algorithm for VHR satellite images segmentation. MVA 2015: 45-48.
- Jérémie Sublime, Nistor Grozavu, Younès Bennani, Antoine Cornuéjols: Collaborative clustering with heterogeneous algorithms. IJCNN 2015: 1-8.

> General links:
https://sites.google.com/view/jsublime/publications-datasets

Other links:
- https://sites.google.com/view/jsublime/
- Google scholar: https://scholar.google.fr/citations?user=UhAxK5EAAAAJ
- Likedin: https://www.linkedin.com/in/jsublime/
- https://dblp.uni-trier.de/pers/hd/s/Sublime:J=eacute=r=eacute=mie

+33 (0)1 49 54 52 19
jeremie.sublime[at]isep[dot]fr

Prof. Andrei Vladimirescu

ECos Team

Andrei Vladimirescu (F’17) received the M.S. and Ph.D. degrees in EECS from the University of California, Berkeley, where he was a key contributor to the SPICE simulator. He pioneered electrical simulation on parallel computers with the CLASSIE simulator as part of his PhD. He is the author of ”The SPICE Book” published by J. Wiley and Sons.

For many years Andrei was R&D director leading the design and implementation of innovative software and hardware Electronic Design Automation products for companies such as Analog Devices Inc., Valid Logic and Cadence. Currently he is Professor at the University of California at Berkeley and the Institut Superieur d’Electronique de Paris, ISEP. His research activities are in the areas of design, simulation and modeling of semiconductor CMOS ICs, circuits with new devices and circuits for quantum computing.

Andrei is an IEEE Life Fellow and a Circuits and Systems Society Board of Governors member.

Research interests :
- Semiconductor Devices
- Integrated Circuit Design
- Compact Modeling
- Circuit Simulation

Teaching (only EC) :
Resp of
Bulleted courses/parcours/APPs etc

Publications :
> Books published:
- The SPICE Book, J. Wiley, 1994.
- TFETs: From Device to Circuit, Springer 2020 or 2021.

> Book Chapters:
- The Fourth Terminal, S. Clerc, T. Di Gilio, A. Cathelin (Eds.), Springer 2020.
- Nano-Chips 2030, B. Murmann, B. Hoeflinger (Eds.), Springer 2020.

> Journals:
- P.A. ‘t Hart, J.P.G. van Dijk, A. Vladimirescu, et al., "Characterization and modeling of mismatch in Cryo-CMOS," IEEE Journal of Electron Device Society (JEDS), December 2020.
- P.A. ‘t Hart, J.P.G. van Dijk, A. Vladimirescu, et al., "Subthreshold mismatch in Nanometer CMOS at cryogenic temperatures," IEEE Journal of Electron Device Society (JEDS) Early Access, 2020.
- L. Shi, D. Shi, X. Zhang, B. Meunier, H. Zang, Z. Wang, A. Vladimirescu, et al., “5G Internet of Radio Light Positioning System for Indoor Broadcasting Service,” IEEE Trans. Broadcasting, 2020.

> Conferences & workshops:
- P.A. ‘t Hart, J.P.G. van Dijk, A. Vladimirescu, et al., "Cryo-CMOS IC Design and Simulation for Quantum Computing," Proc. IEEE-ISQED, Invited, March 25-26, 2020.
- E. Charbon, A. Vladimirescu, F. Sebastiano and M. Babaie, “Cryo-CMOS Interfaces for a Scalable Quantum Computer,” Invited, Proc. DATE, 2020.
- A. Vladimirescu, “The Synergy SPICE-Compact Models,” Invited, Proc. ESSDERC, 2019.

General links:
View publications

+33 (0)1 4954 52 65
andreiv[at]isep[dot]fr

Dr. Patrick Wang

DaSSIP Team

Patrick Wang holds a position of Associate Professor of Computer Science at ISEP since 2017. There, he teaches several programming courses and is the Head of the Software Engineering Major. At ISEP, he is also a member of the DaSSIP research group and conducts and supervises research projects at the frontier of Human-Computer Interaction and Computer Science Education. In particular, his research focuses on designing innovative interfaces for programming beginners.

Before his appointment at ISEP, he obtained a Ph.D. in Computer Science and Educational Technologies from Université Grenoble-Alpes, France in 2016, and then worked as a postdoctoral research associate at the Knowledge Media Institute at the Open University, UK.

Research interests :
- Computer Science Education
- Educational Technologies
- Human-Computer Interaction

Teaching (only EC) :
Head of the Software Engineering majorat ISEP
Course supervisor for the following courses:
- II.1102 – Algorithmique et Programmation
- II.3510 – Développement d’applications mobiles
- II.3523 – Approches formelles ; Langage et compilation

Publications :
> Journals:
- Wang, P., Tchounikine, P., & Quignard, M. (2018). Chao: a framework for the development of orchestration technologies for technology-enhanced learning activities using tablets in classrooms.

> Conferences & workshops:
- Fessard, G., Wang, P., & Renna, I. (2019, July). Are There Differences in Learning Gains When Programming a Tangible Object or a Simulation?. In Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education (pp. 78-84).
- Fessard, G., Wang, P., & Renna, I. (2019, June). Objet Tangible ou Simulation Numérique: Deux Situations Équivalentes pour l'Apprentissage de la Programmation?
- Fessard, G., Renna, I., & Wang, P. (2019, February). Comparing the Effects of Using a Tangible Object or a Simulation in Learning Elementary CS Concepts: A Case Study with Block-Based Programming. In Proceedings of the 50th ACM Technical Symposium on Computer Science Education (pp. 1274-1274).
- Wang, P., Angarita, R., & Renna, I. (2018, April). Is this the era of misinformation yet: combining social bots and fake news to deceive the masses. In Companion Proceedings of the The Web Conference 2018 (pp. 1557-1561).
- Wang, P., Renna, I., Amiel, F., & Zhang, X. (2018). Learning with Robots in CS and STEM Education: A Case Study with ISEP-R0B0. In Proceedings of the 4th Workshop on Robots for Learning at ACM/IEEE HRI (pp. 16-21).
- Wang, P., Tchounikine, P., & Quignard, M. (2015). Orchestration Challenges Raised by Transposing a Paper-Based Individual Activity into a Tablet-Based CSCL Activity: An Example. International Society of the Learning Sciences, Inc.[ISLS].
- Wang, P., Tchounikine, P., & Quignard, M. (2015). A Model to Support Monitoring for Classroom Orchestration in a Tablet-Based CSCL Activity. In Design for Teaching and Learning in a Networked World (pp. 491-496). Springer, Cham.

> General links:
https://scholar.google.com/citations?user=8x20nNMAAAAJ&hl=fr

Other links:
- Personal site web: https://patrickwang.fr/
- Likedin: https://www.linkedin.com/in/patrickwang90/
- Twitter: https://twitter.com/Gkz_

+33 (0)1 49 54 52 10
patrick.wang[at]isep[dot]fr

Dr. Xun Zhang

ECos Team

Dr. Xun ZHANG, current Associate professor in ISEP (www.isep.fr), Paris, France. He obtained in October 2009 the Ph.D. degree in the Instrumentation and Microelectronics (IM) Science at the University of Nancy. From 2009 to 2011, he completed a PostDoc in the SCEE laboratory in CentralSupélec, France. From 2011 ,He joined ISEP as an associate professor. His current research interests are PHY layer optimization for 5G cellular networks and VLC systems, and VLC-based indoor high accuracy positioning algorithm and tracking algorithm. He is interesting on the auto-reconfigurable management method and control strategies in FPGA for cognitive radio system. He has been involved in serval international projects (Horizon H2020 IoRL, Franco-Chine project, and Orange foundation RoBo). Currently, his team has one PLC-VLC high data rate demonstration, one VLC based indoor triangulation demonstration platform and one USRP-based Software Defined Radio platform for Visible light communication. His team has wide exchange program with oversea academic institute like (UK: Brunel university; China: Tsinghua university; HK: Hong Kong university of science and technology) In France, he has a close relation with CEA LETI and Oledcomm who are the leader in VLC market in France.

Research interests :
- Visible Light Communication
- Engergy efficiency design for communication system
- Indoor positioning system and algorithm

Teaching (only EC) :
- Resp. of learning track: electronic system for IoT.
- Resp. of International Engineering Master Degree Program

Publications :
List the most (recent) important publications
full liste seen in http://zhangxun.free.fr/publication/

> Journals (2019-2020):
- Chaabna, Ameur and Babouri, Abdesselam and Huang, Chuanxi and Zhang, Xun.Vi-sible Light Communication System for Indoor Positioning Using Solar Cell as Receiver. InternationalJournal of Energy Optimization and Engineering (IJEOE), 8 : pp47–60, 2019.
- Wang, Zhan and Lambert, Alain and Zhang, Xun.Dynamic ICSP Graph Optimization Ap-proach for Car-Like Robot Localization in Outdoor Environments. Computers, 8 : pp63, 2019. IF 1.59
- Jawad, Nawar and Salih, Mukhald and Ali, Kareem and Meunier, Benjamin and Zhang,Yue and Zhang, Xun and Zetik, Rudolf and Zarakovitis, Charilaos and Koumaras, Harilaosand Kourtis, Michail-Alexandros and others.Smart television services using NFV/SDN networkmanagement. IEEE Transactions on Broadcasting, 65 : pp404–413, 2019. (IF : 4.3)
- Lina Shi, Xun Zhang, Benjamin Meunier, Hequn Zhang, Zhan Wang, Andrei Vladimi-rescu, Wei Li, Yue Zhang, John Cosmas, Kareem Ali, Nawar Jawad, Rudolf Zetik, Eric Legale,Matteo Satta, Jintao Wang, Jian Song.5G Internet of Radio Light positioning system for indoor broad-casting service. IEEE Transactions on Broadcasting, special issue, 2020 (accepted). (IF : 4.3)
- Lina Shi, Xun Zhang and a,l..Internet of Radio and Light : 5G Building Network Radio andEdge Architecture. ITU Journal : ICT Discoveries (accepted), 2020

> Book Chapters:
- Zhang, Xun.A Scalable Architecture for Discrete Wavelet Transform on FPGA-Based System.INTECH Open Access Publisher, July, 2011. ISBN : 978-1-60566-707-2.

> Conferences & workshops (2019-2020):
- Chuanxi Huang, Xun Zhang, Fen Zhou, Zhan Wang, Lina ShiNLOS-Aware VLC-basedIndoor Localization : Algorithm Design and Experimental Validation. 2020 IEEE Wireless Commu-nications and Networking Conference (WCNC) 6-9 April 2020, Seoul, South Korea. (accepted)
- Lina Shi, Xun Zhang, Yanqi Huang and Andrei Vladimirescu.On improving the accuracyof Visible Light Positioning system using deep autoencoder. Second International Conference onAdvances in Signal Processing and Artificial Intelligence, Berlin, Germany, 2020. (accepted)
- Zhan Wang, Xun Zhang, Alain Lambert, Lina Shi, and Wenxiao Wang.A Set-membershipApproach for Visible Light Positioning with Fluctuated RSS Measurements. 2019 International Confe-rence on Indoor Positioning and Indoor Navigation, IT, (2019).
- Shi, Lina and Zhang, Xun and Vladimirescu, Andrei and Wang, Zhan and Zhang, Yueand Wang, Jintao and Garcia, Jorge and Cosmas, John and Kapovits, Adam.Experimental test-bed for VLC-based localization framework in 5G Internet of Radio Light. 2019 26th IEEE InternationalConference on Electronics, Circuits and Systems (ICECS), pp430-433,2019

> General links:
- HAL

Other links:
- Personal link: zhangxun.free.fr
- Citation Google scholar: https://scholar.google.com/citations?user=ZokL1fwAAAAJ&hl=fr&authuser=1
- Linkedin: https://www.linkedin.com/in/zhangxun/

xun.zhang[at]isep[dot]fr

Dr. Ilaria Renna

DaSSIP Team

Ilaria Renna a obtenu d’abord une Licence puis un Master 1 et 2 d’Ingénierie Médicale à l’Université Campus Biomedico de Rome. Elle a ensuite obtenu un double doctorat à l’Université Sorbonne de Paris (Laboratoire des Systèmes intelligents et de la Robotique) et à l’Université de Gênes (Italian Institut of Technologies) en travaillant dans le domaine de l’Interaction Homme-Machine non-verbale basée sur le geste. Pendant son Post-Doctorat au Laboratoire Structures Formelles du Langage du CNRS, elle a participé à deux projets multidisciplinaires, coordonnant la recherche sur l’analyse et la détection des Langues des Signes. Elle a collaboré aussi avec l’Université du Salento (Italie) pour des études sur la modélisation des maladies infectieuses. Ces intérêts scientifiques sont focalisés sur l’Interaction Homme-Machine, le Computer Science Education et le Traitement des données médicales.

Spécialités :
Intéraction Homme-Machine
Machine Learning
EIAH

Formations :
Doctorat Sorbonne Université (France)
Doctorat Université de Gênes (Italie)
Master 1 et 2 Ingenierie Biomedicale Université Campus Bio-Medico de Rome (Italie)

Voir les publications

ilaria.renna[at]isep[dot]fr

Prof. Carlos Faouzi Bader

Director of research

Received in 2002 the Ph.D. degree (Hons.) in telecommunications from the Universidad Politécnica de Madrid, Spain. He joined the Centre Technològic de Telecomunicacions de Catalunya (CTTC), Barcelona- Spain, as Research Associate in 2002, where he was a Senior Research Associate from 2006 to 2013. From June 2013-2020, he has been as Associate Professor with CentraleSupélec. Since 2017, he is Honorary Adjunct Professor with University Technology Sydney, Australia. From 2017-2020, he has been the Head of the Signals and Communications (SC) department of the Institute of Electronics and Telecommunications of Rennes (IETR)-France.
He has been involved in several EU projects from the 5th-7th EC frameworks (eight EU projects and ten national projects).
He published more than 32 journals and 128 papers conferences, over 13 book chapters, and 5 edited books. He served as the General Chair, the Technical Program Co-Chair, and the Technical Co-Chair at numerous major IEEE ComSoc and VTS conferences.

Research interests :
- Beyond 5G and Terahertz/Terabits Wireless Communications systems
- Advanced Multicarrier schemes (5G)
- Cognitive Radio and Spectrum sharing,
- Radio Resource Management.

Teaching :
- Initiation to research

Publications :
- Niharika Agrawal, Sasha Garg, S. J. Darak, and Faouzi Bader, "Spectral Coexistence of LDACS and DME: Analysis via Hardware Software Co-Design in Presence of Real Channels and RF Impairments". Submitted to IEEE Transactions on Vehicular Technologies. EESS > https://arxiv.org/pdf/1910.04649.pdf
- Hussein Chour, Eduard Jorswieck, Faouzi Bader, Youssef Nasser, and Oussama Bazzi, “Global Optimal Resource Allocation for Efficient FD-D2D Enabled Cellular Network“, IEEE Access Journal, Vol. 7, pp 59690 – 59707. May 2019.
- Niharika Agrawal, S. J. Darak, and Faouzi Bader, "New Spectrum Efficient Reconfigurable Filtered-OFDM Based L-Band Digital Aeronautical Communication System", IEEE Transactions on Aerospace and Electronic Systems, Doi: 10.1109/TAES.2019.2891092. Year 2019.
- Marwa Chafii, Jacques Palicot, Rémi Gribonval, and Faouzi Bader, “Adaptive Wavelet Packet Modulation “, IEEE Transactions on Communications, Vol. 66, Issue: 7, pp.2947 – 2957. 2018.
- Conor Sexton, Quentin Bodinier, Arman Farhang, Nicola Marchetti, Faouzi Bader, Luiz A. DaSilva,"Enabling Asynchronous Machine-Type D2D Communication Using Multiple Waveforms in 5G", IEEE Internet of Things Journal, doi: 10.1109/JIOT.2018.2806184. February 2018.
- Majed Saad, Ali Chamas Al Ghouwayel, Hussein Hijazi, Faouzi Bader, and Jacques Palicot, "MIMO Techniques for Wireless Terabits Systems under sub-THz Channel with RF Impairments", in the Proc. Of the IEEE International Conference on Communications (IEEE ICC 2020), at Workshop on/ "Terahertz Communications", Dublin-Ireland. 7-11 June 2020.
- Majed Saad, Faouzi Bader, Ali C. Al Ghouwayel, Hussein Hijazi, Nizar Bouhlel, and Jacques Palicot "Generalised Spatial Multiplexing for Wireless Terabits Systems Under Sub-THZ Channel with RF Impairements", in the Proc. of the IEEE 45th International Conference on Acoustics, Speech, and Signal Processing (IEEE ICASSP '2020), in Barcelona, Spain. May 2020.
- Hussein CHOUR, Youssef NASSER, Faouzi BADER, and Oussama BAZZI, "Game-Theoretic based Power Allocation for a Full Duplex D2D Network", in the Proc. of the IEEE International Workshop on Computer Aided Modelling and Design of Communication Links and Networks (IEEE CAMAD’2019), Limassol, Cyprus. Sept. 2019.
- Majed Saad, Feyiz Chris Lateif, Ali Chamas Al Ghouwayel, Hussein Hijazi, Jacques Palicot and Faouzi Bader, "Generalized Spatial Modulation in Highly Correlated Channels", in the Proc. of the IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (IEEE PIMRC’2019), Istanbul, Turkey. September 2019.
- Majed Saad, Faouzi Bader, Jacques Palicot, Ali Chamas Al Ghouwayel and Hussein Hijazi, "Single Carrier with Index Modulation for Low Power Terabit Systems", in the Proc. of the IEEE Wireless Communications and Networking Conference (IEEE WCNC'2019), Marrakech, Morocco, April 2019.
- Julio Manco-Vasquez, Marwa Chafiiy, and Faouzi Bader, "Tailoring Index-Modulation for uplink IoT and M2M Networks", in the Proc. of the IEEE Wireless Communications and Networking Conference (IEEE WCNC'2019), Marrakech, Morocco, April 2019.

> General list:
https://cv.archives-ouvertes.fr/faouzi-bader#

Other links:
- Personal website
- Citation Google scholar
- Linkedin
- Books

+33 (0)1 49 54 52 27/+33 (0) 647 83 40 30
carlos.bader[at]isep[dot]fr

Dr. Lionel Trojman

ECos Team, HDR

Lionel Trojman was born in Marseille, France. He received the B.Sc. degree in physics from the Faculty of Saint-Charles, University of Provence, Marseille, France, in 2002. He received the M.Sc. degree in physics applied to micro- and nano-electronics and in electrical engineering in microelectronic and Telecommunication from the Ecole Polytechnique Universitaire de Marseille, University of Provence, in 2004. He received his Ph.D. degree in Electrical Engineering at the KULeuven in partnership with the IMEC, Belgium, in 2009. He was working as full time Professor to the electrical and electronics engineering department of the USFQ, Ecuador, since 2009 and he is currently working as professor for Isep, France, since 2019. His current research interests include transport for ultra-scaled MOSFET (down to 22nm) with UTEOT high-k dielectrics with conventional and novel architectures (FDSOI) for CMOS technologies. He is also working on memory devices such as ReRAM, MTJ, and finally power electronic devices implemented in GaN technology. Recently he is involved in Integrated circuit topic using 180, 90 and 32/28nm technology node ofr IoT application.

Research interests :
- Micro and Nano-electronic
- Solid state physic Physics
- IoT, SoC, SiP, Integrated Circuit
- Semiconductor devices

Teaching (only EC) :
Digital and Analog Electronics

Publications :
List the most (recent) important publications
> Journals:
- E. Garzón, R. De Rose, F. Crupi, L. Trojman, G. Finocchio, M. Carpentieri, M. Lanuzza, “Assessment of STT-MRAMs based on double-barrier MTJs for cache applications by means of a device-to-system level simulation framework”, VLSI Journal, Special issue of Integration, (2019) Volume 71, , Pages 56-69 March 2020
- E. Acurio, L. Trojman, F. Crupi, B. DeJager, S. Decoutere, “Reliability Assessment of AlGaN/GaN Schottky Barrier Diodes under ON-state stress”, IEEE, Transactions on Device and Materials Reliability, Vol. 20, N.1
- E. Garzón, R. De Rose, F. Crupi, L. Trojman, M. Lanuzza, “Assessment of STT-MRAM performance at nanoscaled technology nodes using a device-to-memory simulation framework”, Microelectronic Engineering, Vol. 215, p. 111009, 2019.
- L. Trojman, L-A Ragnarsson, N. Collaert, “Mobility extraction for short channel UTBB-FDSOI MOSFETs under back bias using an accurate inversion charge density model”, Solid-State Electronic, Vol. 154, pp. 24-30, 2019.
- E. Acurio, F. Crupi, N. Ronchi, B. De Jaeger, B. Bakeroot, S. Decoutere and L. Trojman, “Influence of GaN- and Si3N4- passivation layers on the performance of AlGaN/GaN diodes with a gated edge termination”, IEEE Transaction on Electron Devices, Vol. 66, n. 2, pp. 883-889, 2019.

> Conferences & workshops:
- Esteban Garzón, Benjamin Zambrano, Tatiana Moposita, Ramiro Taco, Luis-Miguel Prócel and Lionel Trojman, Reconfigurable CMOS/STT-MTJ Non-Volatile Circuit for Logic-in-Memory Applications, IEEE Latin America Circuit and System, Costa Rica, 2020.
- David Rivadeneira, Marco Villegas, Luis Procel and Lionel Trojman, “Optimization of active voltage rectifier/Doubler designed in 90nm technology”, IEEE Latin America Circuit and System, Costa Rica, 2020.
- R. Liautard, L. Trojman, A. Arevalo, L.-M Procel, “TFET and FinFET Hybrid Technologies for SRAM Cell: Performance Improvement over a Large VDD-Range”, IEEE Ecuador Technical Chapter Meeting, Guayaquil, Ecuador, 2019.
- Arevalo, R. Liautard, D. Romero, L. Trojman, L.-M. Procel, “New Insight for next generation SRAM: Tunnel FET versus FinFET for different Topologies”, 32th Symposium on Integrated Circuits and System Design, Chip in the Sampa, Sao Paolo, Brazil, 2019.
- Raffaitin, L.-M. Procel, J.-S- Romero and L. Trojman, “Hardware Implementation of a Shape Recognition Algorithm Based on Invariant Moments”, 32th Symposium on Integrated Circuits and System Design, Chip in the Sampa, Sao Paolo, Brazil, 2019.

Other links:
- Scopus (ORCID 0000-0003-2316-4959)
- https://publons.com/researcher/3220133/lionel-trojman/
- Citation Google scholar
- Linkedin

lionel.trojman[at]isep[dot]fr

Dr. Nouredine Tamani

DaSSIP Team

I have a double profile: Engineer and Ph.D. I received my Ph.D. degree in computer science from the university of Rennes 1 (France) in 2012. My research activities encompass the following main topics: knowledge representation (DL, DataLog+-, ontologies), inconsistency handling, user preferences and flexible querying, fuzzy sets, fuzzy logics, and decision support systems. Currently, I’m an associate professor in cybersecurity and AI at ISEP (Institut Supérieur d’Electronique de Paris), France. With more than 4 years of research in the field of personal Data Protection and Privacy preservation, my current areas of focus are, but not limited to, digital trust, anomaly detection in IoT based applications for user data protection and user privacy preservation, reasoning under uncertainty for context explanation, and aggregation operators for decision support systems.

Research interests :
Digital trust and Personal data protection and user privacy preservation
Knowledge representation and reasoning
Fuzzy logics and reasoning under uncertainty
System interpretability and explanation

Teaching (only EC) :
Resp of
Cybersecurity
Risk Management and Audit
MS Architecte Cyber-Sécurité et Intégration

Publications :
> Journals:
Abdelaziz Amara Korba, Nouredine Tamani, Yacine Ghamri-Doudane, Nour El Islem Karabadji: Anomaly-based framework for detecting power overloading cyberattacks in smart grid AMI. Computer Security. 96: 101896 (2020) 2. Nouredine Tamani, Bouziane Brik, Nasreddine Lagraa, Yacine Ghamri-Doudane: On Link Stability Metric and Fuzzy Quantification for Service Selection in Mobile Vehicular Cloud. IEEE Transactions on Intelligent Transportation Systems. 21(5): 2050-2062 (2020)

> Book Chapters:
Julian Murphy, Gareth Howells, Klaus D. McDonald-Maier, Sami Ghadfi, Giles Falquet, Kais Rouis, Sabrine Aroua, Nouredine Tamani, Mickaël Coustaty, Petra Gomez-Krämer, Yacine Ghamri-Doudane: A Framework for Security and Privacy for the Internet of Things (SPIRIT). Security and Privacy in the Internet of Things 2019: 129-147

> Conferences & workshops:
- Nouredine Tamani, Shohreh Ahvar, Gabriel Santos, Bernard Istasse, Isabel Praça, Paul-Emmanuel Brun, Yacine Ghamri-Doudane, Noël Crespi, Adrien Bécue: Rule-Based Model for Smart Building Supervision and Management. SCC 2018: 9-16
- Nouredine Tamani, Yacine Ghamri-Doudane: Towards a user privacy preservation system for IoT environments: a habit-based approach. FUZZ-IEEE 2016: 2425-2432

Other links:
- Personal link
- Citation Google scholar
- Linkedin

+00 1 49 54 52 75
Tamani.nouredine[at]isep[dot]fr

Dr. Samia Oukemeni

ECoS Team

Samia Oukemeni received her Engineering degree in Telecommunications and Networks in 2010 from the “Institut National des Postes et Télécommunication” (Morocco) and an MS degree in Information Systems Security from Al Akhawayn University in Ifrane (Morocco) in 2016. She obtained her Ph.D. in information security and data privacy from Universitat Oberta de Catalunya (Spain) in 2019. Furthermore, she worked as an information security engineer and project manager at the Ministry of Interior (Morocco) from 2010 to 2014 and as a junior researcher at Universitat Oberta de Catalunya from 2019 to 2020.

Her research focuses on network and system security and privacy, with a special interest in distributed networks. She was a member of the research group KISON (K-ryptography and Information Security for Open Networks) at Universitat Oberta de Catalunya and a member of Centre de recerca en ciberseguretat de Catalunya (CYBERCAT), Spain.

Currently, she is an associate professor at ISEP.

Research interests :
- Information Systems Security
- Data privacy and protection
- Decentralized networks
- Privacy enhancing technologies

Teaching :
Resp. of Information Security and Network Engineering program (Parcours - Ingénieur Sécurité Numérique et Réseaux)
Resp. of courses: Network Security, Routing & Switching
Resp. of Project-based learning « Telecommunications »

Publications:
> Journals:
- Samia Oukemeni, Helena Rifà-Pous, and Joan Manuel Marquès Puig. 2019. ”IPAM: Information Privacy Assessment Metric in Microblogging Online Social Networks,” in IEEE Access 7:1-1. DOI: 10.1109/ACCESS.2019.2932899
- Samia Oukemeni, Helena Rifà-Pous, and Joan Manuel Marquès Puig. 2019. ”Privacy Analysis on Microblogging Online Social Networks: A Survey”. In: ACM Computing Survey. 52, 3, Article 60 (June 2019), 36 pages. DOI: https://doi.org/10.1145/3321481
- Bouchaib Falah, Mohammed Akour, and Samia Oukemeni. 2015. ”An Alternative Threat Model- based Approach for Security Testing”. In: International Journal of Secure Software Engineering (IJSSE), Volume 6, Issue 3 (September 2015), Pages 50-64. DOI: 10.4018/IJSSE.2015070103

> Workshop:
- Samia Oukemeni, Helena Rifà-Pous, and Joan Manuel Marquès Puig. 2018. “Privacy in Microblogging Online Social Networks: Issues and Metrics”. In: Actas de la XV Reunión Española de Criptología y Seguridad de la Información (RECSI 2018). Universidad de Garanada. 2018, pp. 107–112

Other links:
- Citation Google scholar
- https://www.researchgate.net/profile/Samia_Oukemeni
- Linkedin

samia.oukemeni[at]isep[dot]fr

Dr. Hélène Urien

DaSSIP Team

I got my PhD degree in signal and image processing at Télécom ParisTech (75) in 2018. The subject focused on segmentation of brain tumors on PET-MR images.
I was then a research engineer in medical image processing and machine learning applied to brain tumor MR images at Neurospin, CEA (91).
I joined ISEP in November 2019, as an associate professor in signal and data processing.
My fields of research include machine learning and image processing applied to medical images.

Research interests :
- Medical Image Processing
- Medical Image Processing
- Variational and hierarchical segmentation

Teaching :
Signal (APP), data analysis, introduction to IA

Publications:
> Journals:
Commowick, Olivier, et al. "Objective evaluation of multiple sclerosis lesion segmentation using a data management and processing infrastructure." Scientific reports 8.1 (2018): 1-17.

> Conference papers:
- Le Couedic, Thomas, et al. "Deep-learning based segmentation of challenging myelin sheaths." International Conference on Image Processing Theory, Tools and Applications, IPTA 2020. 2020.
- Urien, Hélène, et al. "Brain lesion detection in 3D PET images using max-trees and a new spatial context criterion." International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing. Springer, Cham, 2017.
- Urien, Hélène, et al. "A 3D hierarchical multimodal detection and segmentation method for multiple sclerosis lesions in MRI." (2016).
- Urien, Hélène, et al. "3D PET-driven multi-phase segmentation of meningiomas in MRI." 2016 IEEE 13th International Symposium on Biomedical Imaging (ISBI). IEEE, 2016.

Other links:
- Citation Google scholar
- Linkedin

helene.urien[at]isep[dot]fr

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