Pawan Kumar Upadhyay is working as an Assistant Professor in the Department of Computer Science and Engineering at Jaypee Institute of Information Technology, Noida, India. His current research interests are Medical Image Analysis, Computer Vision, Machine Learning and High Performance Computing.

1.P.K.Upadhyay, S.Chandra. (2019). An Improved Bag of Dense Features for Skin Lesion Recognition. Journal of King Saud University – Computer and Information Sciences, Elsevier, IF:13.47.

2. P.K.Upadhyay, S.Chandra. (2018). Construction of Adaptive Pulse Coupled Neural Network for Abnormality Detection in Medical Images. International Journal of Applied Artificial Intelligence(AAI), Taylor& Fransis,32(5), 477-495, IF:1.172.

3. P.K.Upadhyay, S.Chandra. (2018). A Novel Approach of Intuitive K-means Clustering for Renal Calculi Detection in Ultrasound Images. International Journal on Electrical Engineering and Informatics,10(1), 477-495.

4. P.K.Upadhyay, S.Chandra. (2018). A Salient Bag of Feature for Skin Lesion Recognition. International journal ofperformability Engineering,15(4),1083-1093.

5. T.Y Chandra., K.Kartik., M.Vivek., P.K.Upadhyay.(2015). American Sign Language recognition using HAAR type classifier. International Journal of Knowledge-based and Intelligent Engineering System,19(1)

1.Teaching and mentoring. Teach 3-4 courses per year, and mentor a diverse

group of UG & PG students

2. Departmental coordinator for Virtual lab activity

3. Active Participation in interdisciplinary research

4. Lab design for core subject: Computer Architecture, Embedded system

and Machine Learning

5.Form past several year, an organizing committee member of International

conference on contemporary computing (IC3) conducted by JIIT,

Noida