Dinesh Cyril Selvaraj

Dottorato in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 36^o ciclo (2020-2023)

Dottorato concluso nel 2024

Tesi:

Machine Learning-Driven Trajectory Prediction Models and Motion Control Strategies for Connected Automated Vehicles with Human Adaptation (Abstract)

Tutori:

Carla Fabiana Chiasserini

Profilo

Argomento di ricerca

Machine Learning for Connected Cars

Interessi di ricerca

Big Data, Machine Learning, Neural Networks and Data Science

Communication and Computer Networks

Biografia

Dinesh is a PhD student in Electrical, Electronics and Communications Engineering at Politecnico di Torino. He got his Master Degree in ICT for Smart Societies at Politecnico di Torino. His main research interests revolve around V2X technologies and related applications to create situationally aware vehicles through Machine Learning and Deep Learning methodologies.

Didattica

Insegnamenti

Corso di laurea magistrale

Challenge@PoliTo by Students - New Opportunities from Autonomous and Connected Mobility. A.A. 2020/21, AUTOMOTIVE ENGINEERING (INGEGNERIA DELL'AUTOVEICOLO). Collaboratore del corso

MostraNascondi A.A. passati

Pubblicazioni

Pubblicazioni durante il dottorato Vedi tutte le pubblicazioni su Porto@Iris

Selvaraj, DINESH CYRIL; Vitale, Christian; Panayiotou, Tania; Kolios, Panayiotis; ... (2024)
Adaptive Autopilot: Constrained DRL for Diverse Driving Behaviors. In: IEEE ITSC 2024, Edmonton (Canada), Sept. 2024
Contributo in Atti di Convegno (Proceeding)
Selvaraj, Dinesh; Dressler, Falko; Chiasserini, Carla Fabiana (2024)
Personalized and Context-aware Route Planning for Edge-assisted Vehicles. In: IEEE ICCCN 2024, Hawaii (USA), July 2024
Contributo in Atti di Convegno (Proceeding)
Selvaraj, DINESH CYRIL (2024)
Machine Learning-Driven Trajectory Prediction Models and Motion Control Strategies for Connected Automated Vehicles with Human Adaptation. relatore: CHIASSERINI, Carla Fabiana; , 36. XXXVI Ciclo, P.: 152
Doctoral Thesis
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; 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; 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; Vitale, Christian; Panayiotou, Tania; Kolios, Panayiotis; ... (2021)
Edge Learning of Vehicular Trajectories at Regulated Intersections. In: The 2021 IEEE 94th Vehicular Technology Conference (VTC2021-Fall), Norman, OK, USA (Online due to COVID-19), 27-30 Sept. 2021
Contributo in Atti di Convegno (Proceeding)
Selvaraj, DINESH CYRIL; Hegde, Shailesh; Chiasserini, Carla Fabiana; Amati, Nicola; ... (2021)
A Full-fledge Simulation Framework for the Assessment of Connected Cars. In: 23rd EURO Working Group on Transportation Meeting, EWGT, Paphos, Cyprus, 16-18 September 2020, pp. 315-322. ISSN 2352-1465
Contributo in Atti di Convegno (Proceeding)

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