Pravin Kumar Samanta

Assistant Professor

Prof. Pravin Kumar Samanta has been working as an Assistant Professor since mid of 2017, in School of Electronics Engineering Department at Kalinga Institute of Industrial Technology (KIIT), Deemed to be University in Bhubaneswar. He did his B.Sc Honors in Physics with a first class degree from Rama Krishna Mission Residential College at Narendrapur, Kolkata (affiliated to Calcutta University). At graduate level he was awarded Scholarship for Higher Education (SHE) under the prestigious program, Innovation in Science Pursuit for Inspired Research (INSPIRE) conducted by the DST, Govt. of India. He holds B.Tech degree in Radio Physics and Electronics from the Institute of Radio Physics and Electronics under Calcutta University and pursued his M.Tech with specialization in VLSI Design from Calcutta University. He has two years research experience in VLSI domain under Special Manpower Development Project, 2016-17 (SMDP C2SD Project, by DeitY, Government of India). He has more than five years of teaching & research experiences. Currently he is perusing his Ph.D. in KIIT Deemed to be University in the area of Biomedical Image Processing. His research areas are mainly focused on Machine Learning, Deep Learning, Biomedical Signal & Image Processing and FPGA Design. Besides Technological knowledge, he has a deep thrust for research in Science and Spirituality, Cosmology, Vedic wisdom and Indian Culture.

Profile Links

Email :
[email protected]
Google Scholar :
https://scholar.google.com/citations?user=n4v0p2TKR7UC&hl=en

Social Links

Educational Qualification
M.Tech, Ph.D. (Pursuing)

Research Interests
Biomedical Signal & Image processing, Machine Learning, Deep Learning
Journals/Conferences :
1. Samanta, Pravin & Rout, Nirmal. (2021). Skin Lesion Classification Using Deep Convolutional Neural Network and Transfer Learning Approach. 10.1007/978-981-15-9433-5_32.
2. Samanta, Pravin & Mukherjee, Soumyadev & Rout, Nirmal. (2021). Susceptibility Analysis of Novel Corona Virus Using Hadoop Distributed File System. 10.1007/978-981-15-9433-5_33.
3. Biswas, Arjun & Samanta, Pravin (2022). Supervised Machine Learning Approach for the Prediction of COVID-19 Cases. Lect. Notes Electrical Eng., Vol. 851, Proceedings of the 3rd International Conference on Communication, Devices and Computing, 978-981-16-9153-9, 517569_1_En.