Samer El Zant

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

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

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, “Google matrix analysis of Twitter network” UFAZ scientific conference, Baku, Nov 2021.
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.

Seminars and Projects

Initiator and manager of the first UFAZ Hackathon at French-Azerbaijani University, Baku, 2022.
Proposing and supervising research topics for Engineering, Master and Bachelor degree students.
Responsible for Digital Sciences specialty at AZM school, Lebanon September 2020-September 2021. Digital Sciences or Numérique et sciences informatiques is a speciality in the French BAC curriculum.
Keynote presentation at Google's supported workshop GOMAX, IHES, France, October 2018.
Keynote speaker at the School of Advanced Sciences of Luchon, CNRS MASTODONS project APLIGOOGLE, France, May 2016. Subject: “Properties of reduced Google matrix”
Short talk at Lake Como School on “Complex networks: theory, methods and applications”, Italy, May 2017. Subject: “Geopolitical interactions from a reduced Google matrix view of Wikipedia”

Research supervision

Internship

Jan 2022 - present: Aliisa Alizada, "Object detection and classification in dental panoramic X-RAY images"
Jan 2022 - present: Ibrahim Yunuslu, "Google Matrix Analysis for Twitter Network"
Feb 2021 - June 2021: Javid Guliyev, "Google Matrix Analysis for Twitter Network"

PhD

June 2022 - present: Eldar Babyev, "Detection and classification of dental anomalies and diseases using machine learning techniques"
September 2022 - present: searching for candidate, "Detecting linear structures in images"

Administrative responsibility

Coordinator of Data Science and Artificial Intelligence (DSAI) Master program
Coordinator of Computer Science Bachelor program

Contact

Samer El Zant
UFAZ Baku
NIZAMI STR. 183 BAKU
AZERBAIJAN

mail: samer dot elzant at ufaz dot az