Dr. Vivek Sethi Assistant Professor
Education
● PhD from Indian Institute of Technology Ropar (2023)
o Concentration - VANETs, IoT, Deep Learning
● M.Tech (C.S.E) from NIT Hamirpur (2017)
● B.Tech (C.S.E) from Shri Mata Vaishno Devi University (2012)
Experience
1. Assistant Professor @ CSED TIET Patiala, India (Aug 2023 - present)
2. Assistant Professor @ CSE Department, DIT, India (Jan 2023 - July 2023)
3. System Engineer @ TCS, Mumbai (Mar 2013 - Jul 2015)
SCI/SCIE Journal publications
1. V. Sethi and S. Pal, “FedDOVe: A Federated Deep Q-learning-based Offloading for Vehicular Fog Computing,” Future Generation Computer Systems, vol. 141, pp. 96-105, 2023.
2. V. Sethi, S. Pal, A. Vyas, S. Jain, K. Naik, “Energy-and-delay-aware Scheduling and Load Balancing in Vehicular Fog Networks,” Telecommunication Systems – TELSYS, vol. 82, pp. 373–387, 2022.
Non-SCI Journal Publications
1. Sethi, V. and Chand, N. (2017) A Destination Based Routing Protocol for Context Based Clusters in VANET. Communications and Network, 9, 179-191.
Conference Publications
● V. Sethi, S. Pal and A. Vyas, “Online Energy-efficient Scheduling Algorithm
for Renewable Energy-powered Roadside units in VANETs,” IEEE
17th International Conference on Mobile Ad Hoc and Sensor Systems (MASS), 2020, pp. 506-514.
● V. Sethi and S. Pal, “Controlling Spread of COVID-19 Using VANETs,”
ICC 2021 - IEEE International Conference on Communications, 2021, pp.
1-6, doi:10.1109/ICC42927.2021.9501052.
● Vivek Sethi and Sujata Pal, “MobiCache: A Mobility-aware Caching technique
in Vehicular Edge Computing,” In The 28th Annual International
Conference on Mobile Computing and Networking (ACM MobiCom ’22),
October 17–21, 2022, Sydney, NSW, Australia.
● Sujata Pal, Anindo Ghosh, and Vivek Sethi, “Vehicle Air Pollution Monitoring
Using IoTs,” In Proceedings of the 16th ACM Conference on Embedded
Networked Sensor Systems (SenSys ’18), 2018, New York, NY,
USA, pp. 400–401.
● V. Agarwal, S. Pal, N. Sharma and V. Sethi, “Identification of Defective
Nodes in Cyber-Physical Systems,” IEEE 17th International Conference
on Mobile Ad Hoc and Sensor Systems (MASS), 2020, pp. 20-25, doi:
10.1109/MASS50613.2020.00012.
● N. Jangamreddy, V. Sethi and S. Pal, “Web-Based Gesture Recognition
System for Controlling Heterogeneous IoT devices using Deep Learning,”
11th International Conference on Communication Systems & Networks
(COMSNETS), 2019, pp. 700-702, doi: 10.1109/COMSNETS.2019.8711158.
