Athanasios Kanavos | Vehicular Communication Systems | Best Researcher Award

Posted on by Automobile Award

Dr. Athanasios Kanavos | Vehicular Communication Systems | Best Researcher Award

Postdoctoral Researcher  |  Department of Informatics and Telecommunications, Tripoli  |  Greece

Dr. Athanasios Kanavos is a distinguished postdoctoral researcher at the Department of Informatics and Telecommunications, University of Peloponnese, where he contributes extensively to the Wireless and Mobile Communications Lab. His professional expertise lies in advanced V2X communications, cellular networks, and communication protocols, focusing on optimizing network performance for next-generation intelligent transportation systems. His ongoing research emphasizes reinforcement learning-based scheduling techniques for autonomous driving applications in emerging 6G cellular networks, addressing challenges in resource allocation, latency, and reliability. Dr. Kanavos’s research interests span cellular communications, network performance evaluation, handover and scheduling algorithms, and the integration of AI/ML techniques for intelligent network management. His technical proficiency and research skills include simulation-based protocol design, performance analysis, and algorithmic optimization for vehicular and wireless communication systems. With several impactful publications in respected international journals such as Telecom and ACM conferences, his scholarly contributions have advanced the understanding of adaptive scheduling mechanisms and their application in vehicular communication environments. His innovative approaches have significantly improved throughput, connectivity stability, and communication reliability in dynamic vehicular networks, showcasing both academic excellence and industrial relevance. Recognized for his scientific rigor and commitment to the advancement of wireless communication technologies, Dr. Kanavos continues to influence future developments in connected mobility and smart transportation. His dedication to bridging the gap between theoretical research and practical solutions underscores his position as a leading figure in the field of next-generation communication systems. He has achieved 29 Citations,  4 Documents, 2 h-index.

Profiles:  ORCID  |  Scopus

Featured Publications 

1. Kanavos, A., & Kaloxylos, A. (2025, February 19). V2X Communications in Highway Environments: Scheduling Challenges and Solutions for 6G Networks. Telecom.

2. Kanavos, A., Barmpounakis, S., & Kaloxylos, A. (2023, July 6). An Adaptive Scheduling Mechanism Optimized for V2N Communications over Future Cellular Networks. Telecom.

3. Kanavos, A., Fragkos, D., & Kaloxylos, A. (2021, January). V2X Communication over Cellular Networks: Capabilities and Challenges. Telecom.

4. Kanavos, A., Fragkos, D., & Kaloxylos, A. (2020, November 20). Delay and Spectrum Analysis for V2X Communication over 5G Networks. 24th Pan-Hellenic Conference on Informatics.

Dr. Athanasios Kanavos’s research advances the evolution of intelligent transportation systems by enhancing the efficiency and reliability of V2X communications within 5G and 6G networks. His innovative scheduling and resource allocation mechanisms contribute to safer, low-latency, and more connected vehicular ecosystems—driving global progress toward autonomous mobility and smarter urban infrastructures.

Mohammad Anis | Transportation Engineering | Best Researcher Award

Posted on by Automobile Award

Mr. Mohammad Anis | Transportation Engineering | Best Researcher Award

PhD Student | Texas A&M University| United States

Mr. Mohammad Anis is a dedicated Ph.D. candidate in Civil and Environmental Engineering at Texas A&M University, specializing in traffic safety, autonomous vehicle safety, crash risk modeling, pedestrian safety, and digital twin applications. He previously earned an M.S. in Civil Engineering from the University of Texas Rio Grande Valley (2021), where he conducted pioneering research on electrically heated rigid pavements, and a B.S. in Civil Engineering from Dhaka University of Engineering & Technology, Bangladesh (2018). With over four years of research experience, he has worked extensively on federally and state-funded projects with agencies such as FHWA, TxDOT, NCHRP, FMCSA, and ODOT, contributing to crash prediction models, pedestrian safety analysis, driver distraction studies, and systemic roadway design improvements. His dissertation integrates physics-informed near-miss data with hierarchical Bayesian frameworks for real-time crash occurrence risk estimation, pushing the boundaries of data-driven traffic safety planning. His professional experience includes roles as a doctoral researcher at Texas A&M University, a graduate research assistant at the Texas A&M Transportation Institute, and a graduate teaching assistant at both Texas A&M University and UTRGV, where he mentored students in transportation engineering and civil materials. His research interests lie in real-time safety modeling, AI and machine learning applications in transportation, spatiotemporal crash risk prediction, and sustainable roadway infrastructure. He is skilled in programming (Python, R, MATLAB), statistical modeling (MCMC, machine learning, time-series analysis), traffic simulation tools (SUMO, VISSIM, CARLA), and GIS platforms (ArcGIS, QGIS). He has published widely in high-impact journals such as Accident Analysis & Prevention and Transportation Research Record, along with multiple IEEE and Scopus-indexed conferences. Among his many accolades are the Keese-Wootan Transportation Fellowship (Top 5%), Zachry Excellence Fellowship, Terracon Foundation Scholarship, and Graduate Student Travel Awards. With a strong record of publications, collaborations, and peer-review service, Mr. Anis demonstrates outstanding potential to lead future research in traffic safety and intelligent mobility systems. He has achieved 21 citations across 18 documents, with 8 publications and an h-index of 2.

Profiles:  Scopus | ORCID

Featured Publications

Anis, M., Geedipally, S. R., & Lord, D. (2025). Pedestrian crash causation analysis near bus stops: Insights from random parameters Negative Binomial–Lindley model. Accident Analysis & Prevention, 220, 108137.

Zhang, H., Li, S., Li, Z., Anis, M., Lord, D., & Zhou, Y. (2025). Why anticipatory sensing matters in commercial ACC systems under cut-in scenarios: A perspective from stochastic safety analysis. Accident Analysis & Prevention, 218, 108064

Anis, M., Li, S., Geedipally, S. R., Zhou, Y., & Lord, D. (2025). Real-time risk estimation for active road safety: Leveraging Waymo AV sensor data with hierarchical Bayesian extreme value models. Accident Analysis & Prevention, 211, 107880.

Abdel-Raheem, M., & Anis, M. (2025). Toward sustainability: A new construction method for electrically heated rigid pavement systems. Transportation Research Record: Journal of the Transportation Research Board, 2679(3), 281–303.

Anis, M., & Abdel-Raheem, M. (2024). A review of electrically conductive cement concrete pavement for sustainable snow-removal and deicing: Road safety in cold regions. Transportation Research Record: Journal of the Transportation Research Board, 2678(9), 50–71.