Ammar Khaleel l Reinforcement Learning | Research Excellence Award

Mr. Ammar Khaleel l Reinforcement Learning | Research Excellence Award

Széchenyi István Egyetem | Hungary

Mr. Ammar Khaleel PhD-level researcher in computer science with ongoing doctoral training, focusing on reinforcement learning–based decision making for autonomous vehicles. Experience includes designing, training, and evaluating deep reinforcement learning and control algorithms for autonomous driving, particularly lane-changing, within large-scale traffic simulations using SUMO and the TraCI Python API. Research interests span reinforcement learning, deep learning, model predictive control, intelligent transportation systems, and traffic modeling. Technical expertise covers Python, C/C++, simulation frameworks, and reproducible research workflows. Academic contributions emphasize simulation-driven experimentation and algorithmic innovation; no formal awards are listed. Overall, the work aims to advance safe, efficient, and intelligent mobility systems.

Citation Metrics (Scopus)

40
30
20
10
0

Citations
12

Documents
5

h-index
2

Citations

Documents

h-index


View Scopus Profile View Orcid Profile

Featured Publications


A Multi-Levels RNG Permutation

Indonesian Journal of Electrical Engineering and Computer Science, 2019

A New Permutation Method for Sequence of Order 28

Journal of Theoretical and Applied Information Technology, 2019

N/A and Signature Analysis for Malwares Detection and Removal

Indian Journal of Science and Technology, 2019

Konstantinos Kaselouris | Smart Cities and Urban Analytics | Research Excellence Award

Mr. Konstantinos Kaselouris | Smart Cities and Urban Analytics | Research Excellence Award

National Technical University of Athens | Greece

Konstantinos-Eirinaios Kaselouris is a civil engineer and research associate specializing in transportation planning and engineering, with a strong focus on traffic engineering, road safety, driver behavior, and statistical and machine-learning modeling. He holds a Diploma in Civil Engineering from the National Technical University of Athens, where he completed a thesis examining the influence of mobile phone use on driving behavior through advanced machine-learning techniques applied to imbalanced naturalistic driving data. His professional experience includes work as a junior civil engineer and site inspector at Attiko Metro S.A., followed by research activities within NTUA’s Department of Transportation Planning and Engineering. He has contributed to major European research projects such as ESRA3 and ERSOnext, and has authored or co-authored conference papers presented at significant international transportation forums including the Transport Research Arena and the International Congress on Transportation Research. His research interests center on improving road safety through data-driven methodologies, crash hotspot identification, and behavioral analytics. He has earned distinctions throughout his academic career, including the 2024 Thomaideio Award for innovative work on crash hotspot identification. His ongoing goal is to advance safe, sustainable mobility through rigorous scientific research and practical engineering solutions.

Profile : Scopus

Featured Publications

Kaselouris K., Folla K., Yannis G. “Monitoring national road safety strategies in the EU” in Proceedings of the 10th Transport Research Arena (TRA), 15–18 April 2024, Dublin, Ireland.

Kaselouris K., Michelaraki E., Katrakazas C., Kallidoni M., Yannis G. “Investigating the influence of mobile phone use on driving behaviour with machine learning analysis” in Proceedings of the 10th Transport Research Arena (TRA), 15–18 April 2024, Dublin, Ireland.

Kaselouris K., Deliali K., Michelaraki E., Dragomanovits A., Yannis G. “A novel methodology for crash hotspot identification and network-wide safety ranking” in Proceedings of the 11th International Congress on Transportation Research, 20–22 September 2023, Heraklion, Greece.

Kaselouris K., Nikolaou D., Laiou A., Yannis G. “E-survey of road users’ attitudes – ESRA3” in 7th UN Global Road Safety Week, Athens, 19 May 2023.