Ph.D. candidate
in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 36th cycle (2020-2023)
Department of Electronics and Telecommunications (DET)
Research Assistant
Department of Electronics and Telecommunications (DET)
Profile
PhD
Thesis title
Machine Learning-Driven Trajectory Prediction Models and Motion Control Strategies for Connected Automated Vehicles with Human Adaptation
Research topic
Machine Learning for Connected Cars
Tutors
Research interests
Biography
Teaching
Teachings
Master of Science
- Challenge@PoliTo by Students - New Opportunities from Autonomous and Connected Mobility. A.A. 2020/21, AUTOMOTIVE ENGINEERING (INGEGNERIA DELL'AUTOVEICOLO). Collaboratore del corso
Publications
Latest publications View all publications in Porto@Iris
- Selvaraj, DINESH CYRIL; Vitale, Christian; Panayiotou, Tania; Kolios, Panayiotis; ... (2023)
Edge-Assisted ML-Aided Uncertainty-Aware Vehicle Collision Avoidance At Urban Intersections. In: IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, pp. 1-17. ISSN 2379-8904
Contributo su Rivista - Selvaraj, DINESH CYRIL; Hegde, SHAILESH SUDHAKARA; Amati, Nicola; Deflorio, FRANCESCO ... (2023)
A Deep Reinforcement Learning Approach for Efficient, Safe and Comfortable Driving. In: APPLIED SCIENCES, vol. 13. ISSN 2076-3417
Contributo su Rivista - Selvaraj, DINESH CYRIL; Dressler, Falko; Chiasserini, Carla Fabiana (2023)
Human-Centered Traffic Management Supporting Smart Cities and the Metaverse. In: IEEE International Conference on Metaverse Computing, Networking and Applications (IEEE MetaCom 2023), Kyoto (Japan), June 26-28, 2023. ISBN: 979-8-3503-3333-6
Contributo in Atti di Convegno (Proceeding) - Selvaraj, Dinesh Cyril; Hegde, Shailesh; Amati, Nicola; Deflorio, Francesco; ... (2023)
An ML-aided Reinforcement Learning Approach for Challenging Vehicle Maneuvers. In: IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, vol. 8, pp. 1686-1698. ISSN 2379-8858
Contributo su Rivista - Selvaraj, DINESH CYRIL; Hegde, SHAILESH SUDHAKARA; Amati, Nicola; Chiasserini, Carla ... (2021)
A Reinforcement Learning Approach For Efficient, Safe and Comfortable Driving. In: THE 24TH EURO WORKING GROUP ON TRANSPORTATION MEETING (EWGT) 2021, Virtual conference due to COVID-19, September 2021
Contributo in Atti di Convegno (Proceeding)