Dinesh Cyril Selvaraj

Dottorando in Ingegneria Elettrica, Elettronica E Delle Comunicazioni , 36^o ciclo (2020-2023)
Dipartimento di Elettronica e Telecomunicazioni (DET)

Assegnista di Ricerca
Dipartimento di Elettronica e Telecomunicazioni (DET)

dinesh.selvaraj@polito.it

Profilo

Dottorato di ricerca

Argomento di ricerca

Machine Learning for Connected Cars

Tutori

Carla Fabiana Chiasserini

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 più recenti Vedi tutte le pubblicazioni su 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
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)