Saurav Kumar
Ph.D. Electrical Engineering Department
PhD (IV Year I Semester)

Student at IITR


Computer vision
Deep learning

Previous Education

Senior Secondary Education - Intermediate (Class XII) in Science
S.S. College Mehus, Sheikhpura, Bihar, 2012
Percentage: 77.40%
B.Tech - Graduate (UG) in Electronics and Communication Engineering
Institute of Technology, GGU, Bilaspur, 2017
CGPA: 7.130
M.Tech - Postgraduate (PG) in Control and Instrumentation Engineering
Dr B R Ambedkar National Institute of Technology Jalandhar, 2020
CGPA: 8.050


Single Object Tracking in a video/image sequence using Machine Learning/Deep Learning techniques (sponsored by ISRO) in Object tracking, Object detection, Deep learning
Mar 2019 to Present

To develop a machine /deep learning algorithm by which moving objects can be mapped/classified/detected/tracked from the Surveillance/Robot navigation/Intelligent transportation systems, etc

Data and risk analysis based predictive strategies for the Chota Char Dham Yatra in the state of Uttarakhand in Machine Learning, Deep Learning, Object detection
Nov 2018 to Present

Approach: Ardunio, GPS, Machine Learning, Deep Learning, Object detection


YOLOv4 algorithm for the real-time detection of fire and personal protective equipments at construction sites by Saurav Kumar, Himanshu Gupta, Drishti Yadav, Irshad Ahmad Ansari, Om Prakash Verma

Published by Springer in 2021

Journal: Multimedia Tools and Applications
Source Papers
A Novel YOLOv3 Algorithm-Based Deep Learning Approach for Waste Segregation: Towards Smart Waste Management by Saurav Kumar, Drishti Yadav, Himanshu Gupta, Om Prakash Verma, Irshad Ahmad Ansari, Chang Wook Ahn

Published by MDPI in 2021

Journal: Electronics
Source Papers
Last Published on: 15 January 2024, 15:10:18