Biography

I am a highly motivated researcher with the eager to always learn more and build a successful career. I am passionate about algorithm design, applied deep learning and artificial intelligence for visual computing. I am keen to make a real impact in the world. I am an autonomous and self-motivated person. In fact, I often take the lead and start projects on my own because I enjoy it. Compared to most people my age, I have more self-discipline and more willingness to try and learn new things, something I think it is proven by my projects and research record so far. I have received my CPGE diploma of Mathematics/Physics (with honors) in 2016 from l'Institut Préparatoire aux Etudes d'Ingénieur de Sfax. After that, I received the Diplome d’Ingenieur degree (summa cum laude) in telecommunication engineering from the Ecole Superieure des Communications de Tunis (SUP’COM), Tunis, Tunisia, in 2019. I am currently a M.Sc. Graduate student at King Abdullah University of Science and Technology (KAUST). During the period form 2019 to 2021, I worked as a Junior research scientist with the School of Systems and Enterprises at Stevens Institute of Technology, NJ, USA.

Research Interests

Artifical Intelligence, Optimization, Low-complexity algorithm design, Graph Neural Networks, and Social Internet-of-Things.

What’s New

  • New!! 2023.07. Our paper "Multi-Rotor UAVs in Crowd Management Systems: Opportunities and Challenges" has been accepted for publication in IEEE Internet-of-Things Magazine
  • New!! 2023.06. I have graduated with a Master's degree in Electrical and Computer Engineering from King Abdullah University of Science and Technology (KAUST)
  • New!! 2023.03. Our paper "V3Trans-Crowd: A Video-Based Visual Transformer for Crowd Management Monitoring" have won the Best Paper Award for the IEEE SM'23
  • New!! 2023.03. Our paper "Real-Time Video Frame De-Raining Using Disentangled Generative Models" has been accepted for publication in IEEE International Conference on Smart Mobility 2023
  • New!! 2023.03. Our paper "V3Trans-Crowd: A Video-Based Visual Transformer for Crowd Management Monitoring" has been accepted for publication in IEEE International Conference on Smart Mobility 2023
  • 2022.08. I was accepted to be a part of the AWS Community Builders program!
  • 2022.05. Our paper “Service Discovery in Social Internet of Things Using Graph Neural Networks” was accepted for publications in IEEE International Midwest Symposium on Circuits and Systems (MWSCAS'22)!
  • 2022.05. Our paper “V3Trans-Crowd: a Video-Based Visual Transformer for Crowd Management Monitoring” was accepted for publications in IEEE International Midwest Symposium on Circuits and Systems (MWSCAS'22)!
  • 2021.09. Reviewer for IEEE Internet-of-Things Journal, IEEE Communications Letters
  • 2021.08. Glad to be accepted as a Master student at King Abdullah University of Science and Technology!
  • 2021.06. Our paper “Evolutionary Algorithms for 5G Multi-Tier Radio Access Network Planning” was accepted for publications in IEEE Access!
  • 2021.04. Our paper “Towards Collaborative Mobile Crowdsourcing” was accepted for publications in IEEE Internet-of-Things Magazine (IoT-M)!
  • 2021.04. I was accepted to pursue a systems engineering Ph.D. program at Stevens Institute of Technology and awarded with a Provost Fellowship!. Congrats to me!
  • 2021.02. Our paper “Low-Complexity Recruitment for Collaborative Mobile Crowdsourcing Using Graph Neural Networks” was accepted for publications in IEEE Internet-of-Things (IoT)!
  • 2020.11. I have been promoted to a Research Scholar with the School of Systems and Enterprises at Stevens Institute of Technology
  • 2020.10. Our paper “An Evolutionary Algorithm for Collaborative Mobile Crowdsourcing Recruitment in Socially Connected IoT Systems” was accepted for publications in 2020 IEEE Global Conference on Artificial Intelligence and Internet of Things (GCAIoT)!
  • 2020.09. Reviewer for IEEE Access, IEEE Transactions on Computational Social Systems
  • 2020.09. Our paper “Optimal Team Recruitment Strategies for Collaborative Mobile Crowdsourcing Systems” was accepted for publications in 2020 IEEE Technology & Engineering Management Conference (TEMSCON)!
  • 2020.09. Our paper “A Trustworthy Recruitment Process for Spatial Mobile Crowdsourcing in Large-scale Social IoT” was accepted for publications in 2020 IEEE Technology & Engineering Management Conference (TEMSCON)!
  • 2020.07. Our paper “Many-to-Many Recruitment and Scheduling in Spatial Mobile Crowdsourcing” was accepted for publications in IEEE Access!
  • 2020.04. Our paper “A Spatial Mobile Crowdsourcing Framework for Event Reporting” was accepted for publications in IEEE Transactions on Computational Social Systems!
  • 2020.03. I have been assigned as a Research Engineer with the School of Systems and Enterprises at Stevens Institute of Technology
  • 2020.01. Graduated from Higher School of Communication of Tunis (SUP'COM) with a Diplome D'ingenieur (B.Eng) with summa cum laude. I have also recieved the best dissertation award from SUP'COM. Thanks a lot to my supervisors: Dr. Hakim Ghazzai, and Prof. Mounir Frikha
  • 2019.09. Reviewer for IEEE International Midwest Symposium on Circuits and Systems
  • 2019.09. Our paper “A Stochastic Team Formation Approach for Collaborative Mobile Crowdsourcing” was accepted for publications in 2019 31st International Conference on Microelectronics (ICM)!
  • 2019.06. Our paper “A Photo-Based Mobile Crowdsourcing Framework for Event Reporting” was accepted for publications in 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS'19)!
  • 2019.02. I have accepted an internship position at Stevens Institute of Technology, Hoboken, NJ, USA in the systems engineering departement!
  • 2016.09. I have recieved an excellence scholarship to pursue my enginnering studies at the prestigious Higher School of Communication of Tunis (SUP'COM)!
  • 2016.02. I have successfully passed the national entrance examination for admission to graduate training for engineers in Tunisia. I was ranked 99 nation wide among ~ 1700 total test takers. May the future be brighter!