ÉQUIPE DASSIP

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