Équipe CSTB : Systèmes Complexes et Bioinformatique Translationnelle

Samer El Zant

De Équipe CSTB : Systèmes Complexes et Bioinformatique Translationnelle
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I have received an engineering degree in Communications and electronics in 2014, a M.S degree in Networks and systems engineering from Paris Saclay University in 2015 and a PhD in Big Data Network Analysis and Computer Science in 2018 from the National Polytechnic Institute of Toulouse. Between 2015 and 2018, I was a member of IRIT and LPT laboratories, participating in the GOMOBILE, APPLIGOOGLE and MACACO projects while working towards my PhD. In September 2016, I joined the ENSEEIHT, France, as a lecturer. I joined INP then BAU for the academic years 2018/2019 and 2019/2020 as an assistant professor. Since 2020, I am Associate Professor and Coordinator of computer science Master and Bachelor Program at University of Strasbourg (UFAZ project). By 2021, as associate researcher, I had the opportunity to be a part of launching the Data Science and Artificial Intelligence (DSAI) research team at UFAZ research department in parallel with being a member of ICUBE lab. My scientific research focuses on Reduced Google matrix (REGOMAX) analysis for Big Data networks.

Publications

PhD

PhD in Big Data Network Analysis, July 2018
Google matrix analysis of Wikipedia networks
Nominated for INP Léopold Escande best thesis award
Institut National Polytechnique (INP), Ecole Doctorale Mathématique Informatique Télécommunications de Toulouse, Toulouse - France
Supervised by: Dima Shepelyansky and Katia Jaffrès-Runser

Editor

Journal articles

  • S. E. Zant, K. Jaffrès-Runser, K. M. Frahm, and D. Shepelyansky, “Interactions and influence of world painters from reduced Google matrix of Wikipedia networks” IEEE Access, vol. 6, no. 1, pp. 47735 – 47750, December 2018.
  • S. E. Zant, K. Jaffrès-Runser, and D. Shepelyansky, “Capturing the influence of geopolitical ties from Wikipedia with reduced Google matrix” Plos One, vol. 13, no. 8, pp. 1 – 31, August 2018.
  • S. E. Zant, K. M. Frahm, K. Jaffrès-Runser, and D. Shepelyansky, “Analysis of world terror networks from the reduced Google matrix of Wikipedia” Springer, EPJB, vol. 91, no.1, pp. 7, January 2018. (selected third best paper by MIT technology review)
  • K. M. Frahm, S. E. Zant, K. Jaffrès-Runser, and D. L. Shepelyansky, “Multi-cultural Wikipedia mining of geopolitics interactions leveraging reduced Google matrix analysis” Elsevier, PLA, vol. 381, no. 33, pp. 2677 – 2685, September 2017.

Conference proceedings

  • R. Fatali, G. Safarli, S. E. Zant, and R. Amhaz “A comparative study of yolo v4 and v5 architectures on pavement crack datasets using region-based detection”, Springer Complex Computational Ecosystems 2023, Baku, 2023.
  • S. E. Zant, “Comparing different computation methods of Reduced Google Matrix”, ACM 7th International Conference on Big Data and Computing, Shenzhen, May 2022.
  • S. E. Zant, K. Jaffrès-Runser, and D. Shepelyansky, “Geopolitical interactions from reduced Google matrix analysis of Wikipedia” IEEE MENACOMM, Beirut, April 2018.
  • S. E. Zant, K. Frahm, K. Jaffres-Runser, and D. Shepelyansky, “Analyse des interactions géopolitiques par la matrice de Google réduite” AlgoTel 2017, Quiberon, France, May 2017.

Talks

  • S. E. Zant, “Google matrix analysis of Twitter network” UFAZ scientific conference, Baku, Nov 2021.
  • October 2018: Keynote presentation at Google's workshop GOMAX, IHES, France.
  • May 2017: Short talk at Lake Como School on "Complex networks: theory, methods, and applications", Italy. Subject: "Geopolitical interactions from a reduced Google matrix view of Wikipedia"
  • May 2016: Keynote speaker at the School of Advanced Sciences of Luchon, CNRS MASTODONS project APLIGOOGLE, France. Subject: "Properties of a Reduced Google Matrix"

Projects

Research supervision

Internship

  • Jan 2024 - present: Aydin Gasimov, "Implementing ML models to the sensitivity analysis of Reduced Google matrix algorithm"
  • Oct 2023 - present: Laman Aliyeva, "Implementation of Shor's and Grover's algorithms on a real IBM quantum machine". In collaboration with Léo Chéneau and Pierre Collet.
  • Oct 2023 - present: Ammar Zaarour, "NLP Arabic". In collaboration with Rabih Amhaz.
  • Feb 2023 - July 2023: Allahverdi Hajiyev, "Enhance Detection and Classification of Objects in X-Ray images"
  • Feb 2023 - July 2023: Nazir Ahmadli, "Anomaly Detection on Pavement Surfaces using S.O.T.A Algorithms"
  • Feb 2023 - June 2023: Farhad Azimov, "Optimization using Meta heuristic algorithms"
  • Feb 2023 - June 2023: Fidan Guliyeva, "Exploring neo4j on Wikipedia network"
  • Jan 2022 - July 2022: Aliisa Alizada, "Object detection and classification in dental panoramic X-RAY images"
  • Jan 2022 - July 2022: Ibrahim Yunuslu, "Mining of geopolitical ties using Google Matrix analysis of Twitter network"
  • Feb 2021 - June 2021: Javid Guliyev, "Google Matrix Analysis for Twitter Network"

PhD

  • September 2022 - present: Rauf Fatali, "MIIRAG - Maintenance through Imaging in artificial Intelligence for safe Roads & Augmented Gouvernance" in collaboration with Rabih Amhaz, ICAM.

Administrative responsibility

Contact

mail: samer dot elzant at unistra dot fr