Supervisor
Research Interests
• Deep Learning
• Image Retrieval
• Expression Recognition
• Arial Image Analysis
• Face Recognition
• Motion Detection • Aberrant Detection
Curriculum vitae
google scholar Research Gate
E-mail- skvipparthi@iitrpr.ac.in Phone- +91-1881-232218
Personal Research Group
Dr. Santosh Kumar Vipparthi
Dr. Santosh Kumar Vipparthi, a senior member of IEEE, has 11+ years of experience, including teaching and industry. Currently, he is an Assistant Professor at Indian Institute of Technology Ropar (IIT Ropar), India. Before this, he served at the Mehta Family School of Data Science and Artificial Intelligence, Indian Institute of Technology, Guwahati (IIT Guwahati). And Malaviya National Institute of Technology (MNIT), Jaipur (An Institute of National Importance and one of the top NITs fully funded by the Ministry of Education, Government of India). He received Ph.D. and MTech degrees with Honors in Systems Engineering from the Indian Institute of Technology Varanasi (IIT Varanasi), BHU, India, and a B.E. degree in Electrical and Electronics Engineering from Andhra University, Andhra Pradesh, India. Dr. Vipparthi’s research in the area of computer vision, affective computing, deep learning, etc. He successfully supervised 03 research scholars (Ph.D.’s) and is currently guiding 07 research scholars. More Details..
Ph.D. Scholars
Anamika Satrawala
Research Interests
Internet of Vehicles,Vehicular Surveillance
google scholar Research Gate GitHub
Satyanarayan Tazi
Research Interests
Gesture Recognition, Deep Learning
google scholar Research Gate GitHub
Post Graduate students
Alumni PhD
MURARI MANDAL
Postdoctoral Fellow, NUS,Singapore
Research Interests
Motion Detection, Object Detection, Remote Sensing, Deep Learning
google scholar
Research Gate
GitHub
dblp profile
MONU VERMA
Postdoctoral Fellow, UM, Miami
Research Interests
facial expression recognition, depression analysis, and micro expression analysis
google scholar Research Gate
Gopa
Assistant Professor, NIT Sikkim
Research Interests
Hand Gesture Recognition, Deep Learning