Les Enseignants-Chercheurs

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. 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.www.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 (Sorbonnne Université) in 2014. In May 2009 she joined ISEP, where between 2011 and 2018 she is responsible of the Signal Processing Program and between March 2018 and January 2023 she is in charge of the Data Science Program. She is the Scientific Integrity referent for ISEP. She was Deputy Editor in Chief for IEEE Open Journal on Circuits and Systems 2018-2021 and is 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, Chair of Technical Activities and Membership Development in 2020 and Vice-President of IEEE French Section in 2023

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

Teaching :
- Resp. of Signal Acquisition and Processing
- Resp. of Introduction to HPC and QC
- 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. 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.www.isep.fr/pconde/

Other links:
- Personal website: http://perso.www.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. 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

His HDR defense is on the topic “Contributions to modern unsupervised learning: applications to the cases of multi-view clustering and unsupervised deep learning”, and took place on Friday 16th April 2021, at ISEP.

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

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

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. 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

Dr. Yousra Chabchoub

DaSSIP 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.www.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. Ammar Kheirbek

DaSSIP Team

Ph.D. (May 1995). University Joseph Fourier, Grenoble, France – Information Retrieval & Hypermedia Systems.
DEA (1991), École nationale supérieure d'informatique et de mathématiques appliquées de Grenoble (ENSIMAG), France – Information & Operating Systems.
Engineer in Informatics (1989) – Preparatory Classes (Math Sup) – Higher Institute for Applied Sciences and Technology (HIAST) – Damascus, Syria.

Founder (2000) & Dean of the Faculty of Information Technology Engineering (2009, 2013) – Damascus University.
Founder & CEO of ePedia Private Company in Content Industry (2000, 2018) – Damascus.
Founder & Head of the National Team for Arabic Content Industry (2009, 2011) – Damascus.
Consultant for Education and ICT – Japan International Cooperation Agency (JICA) (2005,2011) – Damascus.
Board Member of the Syrian Computer Society (SCS) (2005, 2009) – Damascus.
Vice President, Syrian Virtual University (SVU) (2003, 2006) – Damascus.

Main Intellectual Interests: Philosophy & Epistemology – History & Mythology – Art & Classic Music ...

Research interests :
- Logic Approach & Knowledge-based Information Retrieval
- Semantic Web, Linked Data
- Content Applications (eLearning, eGovernment ...
- Markup Languages, Authoring Tools ...)
- Application of IT in Humanities

Formations :
- APP. Système Informatique
- Humanisme et Numérique
- Semantic Web and Knowledge Management
- Formal Approaches, Languages & Compilation

Publications :
- Development of a Structural Approach to “Gamify” eLearning Content – Application on a Pre–University Chemistry Course. Journal of Damascus University on Computer Sciences. Volume 1 – Number 5. 21 July 2018.
- Re–Describing Geographical Content Depending on Semantic Approach and Markup Languages. Conference Proceedings: Dialogue on Sustainability and Environmental Management, Accra, Ghana February 15–16 2017.
- A new model to re–describing content depending on Markup languages and Ontology. Eureka International Virtual Meeting Eureka 2016 y OPTISAD 2016. 30/11/2016 – 3/12/2016. CIGIDER, Torreon, Mexico.
- Implicit Concepts Extraction from Scene Images using ConceptNet. Journal of Damascus University on Computer Sciences. Volume 2 – Number 5 – September 2015.
- CtML: A New Content Markup Language to Describe Content in Web Pages. Journal of Damascus University on Computer Sciences. Volume 1 – Number 5 – August 2015.
- A Semantic Approach to Enhance HITS Algorithm for Extracting Associated Concepts using ConceptNet. JDIM: Journal of Digital Information Management – Volume 13 – Number 1 – February 2015.

• +33 (0)7 52 71 69 96
• ammar.kheirbek[at]isep[dot]fr

Prof. Lina Mroueh

Head of research ECoS Team

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.www.isep.fr/mroueh/
- Linkedin: https://www.linkedin.com/in/linamroueh/?originalSubdomain=fr

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

• Received the B.S. degree in cryptology and computer security from Bordeaux University faculty of science and technology, in 2015. In 2018, he obtained his Ph.D. degree in the SRCD department in IMT Atlantique, campus of Rennes, France, followed by a first postdoc in IRT b<>com and a second one in Orange Labs. His research interests include, Internet of Things, Security and privacy, telecommunication and e-health.

  Currently, she is an assistant professor in ISEP in ECoS Team.

  Research interests:
  - Security
  - Internet of Things
  - Privacy
  
  Teaching:
  Resp of software security module
  Bulleted :
  - APP
  - Software Security
  - Conception de systèmes connectés
  
  Publications:
  > Journals:
  - "Secure access to multiple smart spaces using SDN", S. El Jaouhari, and al. Journal of Ambient Intelligence and Humanized Computing, November 2020, DOI: 10.1007/s12652-020-02601-y.
  - "Next generation smart house: energy, wellbeing and health management", S. El Jaouhari, and al., Sensors journal, 19(3), 481; https://doi.org/10.3390/s19030481, published January 2019 .
  
  > Book Chapters:
  - "Chapter 14 - security issues of the web of things", S. E. Jaouhari and al., Managing the Web of Things, Q. Z. Sheng, Y. Qin, L.Yao, and B. Benatallah, Eds. Boston: Morgan Kaufmann, 2017, pp. 389 – 424.
  
  > Conferences & workshops:
  - "On-the-fly DICOM-RTV metadata pseudonymization during a real-time streaming", S. E. Jaouhari and al., The 34th International Conference on Information Networking (ICOIN 2020), presented, January 7-10.
  - "Streaming DICOM Real-Time Video and Metadata Flows Outside The Operating Room", S. E. Jaouhari and al., 2019 IEEE Global Communications Conference (Globecom).
  - "World’s First Retransmission of Medical Images in an Operating Room via DICOM-RTV: Technical Details", S. E. Jaouhari and al., 2019 IEEE 43nd Annual Computer Software and Applications Conference (COMPSAC), July 15-19.
  - "Dynamic security management of smart WoT infrastructures using SDN", S. E. Jaouhari and A. Bouabdallah, 2018 IEEE 88th Vehicular Technology (VTC), presented, 27–30 August 2018.
  - "Toward a Smart Health-Care Architecture Using WebRTC and WoT", S. E. Jaouhari, and al., WorldCIST 2017, in Advances in Intelligent Systems and Computing, vol 571.
  
  General list: HAL https://cv.archives-ouvertes.fr/saad-el-jaouhari
  
  Other links:
  - Citation Google scholar
  - Linkedin
  - Researchgate

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. 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. 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. 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. Saad El Jaouhari

ECoS Team

Received the B.S. degree in cryptology and computer security from Bordeaux University faculty of science and technology, in 2015. In 2018, he obtained his Ph.D. degree in the SRCD department in IMT Atlantique, campus of Rennes, France, followed by a first postdoc in IRT b<>com and a second one in Orange Labs. His research interests include, Internet of Things, Security and privacy, telecommunication and e-health.

Currently, he is an assistant professor in ISEP in ECoS Team.

Research interests:
- Security
- Internet of Things
- Privacy

Teaching:
Resp of software security module
Bulleted :
- APP
- Software Security
- Conception de systèmes connectés

Publications:
> Journals:
- "Secure access to multiple smart spaces using SDN", S. El Jaouhari, and al. Journal of Ambient Intelligence and Humanized Computing, November 2020, DOI: 10.1007/s12652-020-02601-y.
- "Next generation smart house: energy, wellbeing and health management", S. El Jaouhari, and al., Sensors journal, 19(3), 481; https://doi.org/10.3390/s19030481, published January 2019 .

> Book Chapters:
- "Chapter 14 - security issues of the web of things", S. E. Jaouhari and al., Managing the Web of Things, Q. Z. Sheng, Y. Qin, L.Yao, and B. Benatallah, Eds. Boston: Morgan Kaufmann, 2017, pp. 389 – 424.

> Conferences & workshops:
- "On-the-fly DICOM-RTV metadata pseudonymization during a real-time streaming", S. E. Jaouhari and al., The 34th International Conference on Information Networking (ICOIN 2020), presented, January 7-10.
- "Streaming DICOM Real-Time Video and Metadata Flows Outside The Operating Room", S. E. Jaouhari and al., 2019 IEEE Global Communications Conference (Globecom).
- "World’s First Retransmission of Medical Images in an Operating Room via DICOM-RTV: Technical Details", S. E. Jaouhari and al., 2019 IEEE 43nd Annual Computer Software and Applications Conference (COMPSAC), July 15-19.
- "Dynamic security management of smart WoT infrastructures using SDN", S. E. Jaouhari and A. Bouabdallah, 2018 IEEE 88th Vehicular Technology (VTC), presented, 27–30 August 2018.
- "Toward a Smart Health-Care Architecture Using WebRTC and WoT", S. E. Jaouhari, and al., WorldCIST 2017, in Advances in Intelligent Systems and Computing, vol 571.

General list: HAL https://cv.archives-ouvertes.fr/saad-el-jaouhari

Other links:
- Citation Google scholar
- Linkedin
- Researchgate

• saad.el-jaouhari[at]isep[dot]fr

Dr. Ali Koteiche

ECoS Team

Ali Koteiche received an electrical engineer degree from Polytech Nantes in 2014. Then he worked for three years as an electrical engineer. In 2018 he obtained a master’s degree in electrical engineering for sustainable development from Université de Lille. In 2022, he received his Ph.D. degree from Sorbonne Université and joined ISEP as an associate professor. His current research focuses on the optimization, the design and the integration of renewable energy sources with the power grid.

Research interests :
- Electrical energy management
- Renewable energy
- Smart grid...

Teaching :
- Analog and digital electronics, computer architecture, automatics and real-time systems

• 01 49 54 52 49
• ali.koteiche[at]isep[dot]fr

Dr. Wafa Njima

ECoS Team

Wafa Njima received the Eng. degree from the Institut National des Sciences Appliquées et de Technologies de Tunis in 2015. She received the Ph.D. degree in the field of radio-communications in 2019, from the Conservatoire National des Arts et Métiers in Paris in collaboration with the Ecole Supérieure des Communications de Tunis. She joined the ETIS laboratory at ENSEA Cergy as a temporary assistant and researcher also as a postdoctoral researcher. She is currently an associate professor at ISEP, Paris. She is IEEE member and she served as TPC member and reviewer for many leading international conferences and journals. Her publications span several research areas, and his research interests are related to several topics including signal processing, wireless communications, sparse data, indoor localization, IoT and machine learning for communications.

• 01 49 54 52 42
• wafa.njima[at]isep[dot]fr

Dr. Nour El Madhoun

ECoS Team

I'm currently an Associate Professor of Computer Science, Cybersecurity and Blockchain at ISEP - Engineering School in Paris. I'm also an Associate Researcher at Sorbonne Université (LIP6-PHARE Team). I received my Master’s degree in Networks/Computer Science from Sorbonne Université/Télécom ParisTech in 2014, and my Ph.D. degree in Cybersecurity/Computer Science from Sorbonne Université in 2018. In 2019, I joined ISEP - Engineering School, Paris, as an Associate Professor of Cybersecurity in addition to overseeing the engineering cycle - Digital Security and Networks. In 2018, I gained industry experience through working as a post-doctoral researcher at Orange Labs. At Sorbonne Université, I became an ATER in 2017. From 2020 to 2022, I joined, EPITA - Engineering school in Paris, as an Associate Professor of Cybersecurity and Blockchain. My current research focuses on network security, cryptographic protocols, EMV payment, NFC technology, and blockchain and smart-contracts technologies.

• 01 49 54 52 57
• nour.el-madhoun[at]isep[dot]fr

Dr. Nicole Doumit

ECoS Team

Nicole Doumit has received her PhD in microelectronics in 2015 from Saint-Etienne University (France) on electrical and mechanical characterization of copper thin layers deposited on alumina substrate for high temperature applications. In 2015, she became an assistant professor at INSA Centre-Val-de-Loire and GREMAN Laboratory till 2016. Then, she became an assistant professor at Polytech Tours engineering school and associate researcher at GREMAN Laboratory till 2021. Currently, she is an associate professor at ISEP. She gives lecturers in electronics for students following the engineering programme. Her research interests are electrical and mechanical characterization for electronic components under high temperature, modeling and optimization of piezoelectric and semi-conductor materials used in energy harvesting systems.

• +33 (0)1 49 54 52 58
• nicole.doumit[at]isep[dot]fr