Academics

Bio

Dr. Nitin N. Pise is a highly accomplished academician and researcher, with over 25 years of experience in teaching and 2 years of industrial experience. He received his Ph.D. in Computer Engineering from the College of Engineering Pune (Savitri Bai Phule Pune University) in 2016, after completing his graduation in Computer Engineering in 1994 and obtaining a Master's degree in Computer Science and Engineering in 2004 from Walchand College of Engineering, Sangli. Dr. Pise is currently working as a Professor in the School of Computer Engineering and Technology, where he also supervises Ph.D. candidates. He has published more than 60 papers in National and International Conferences and Journals, showcasing his research and contribution to the field.

Research Areas

Artificial Intelligence, Machine Learning, Data Science & Analytics, Blockchain

Publications

1.A survey of semi-supervised learning methods, 2008 International Conference on Computational Intelligence and Security, Suzhou, China, 2008

2. Algorithm selection for classification problems, 2016 SAI Computing Conference, London, U.K. ,2016

3. Evolving learners' behavior in data mining, Evolving Systems, Vol. 8, pp. 243-259, 2017

4. Computer aided melanoma skin cancer detection using image processing, Procedia Computer Science 48, 735-740, 2015

5. Deep Pre-Trained Convolutional Neural System for High-Accuracy Covid19 Forecasting from Chest X-Rays, 2022 IEEE 7th International conference for Convergence in Technology (I2CT), 2022

6. Efficient Diagnosis of Covid19 by Employing Deep Transfer Learning on Pretrained VGG and ResidualNet Architectures, 2022 8th International Conference on Advanced Computing and Communication Systems (ICACCS), 2022

Google Scholar link :https://scholar.google.com/citations?view_op=list_works&hl=en&hl=en&user=NXZ627gAAAAJ&pagesize=80

Scopus link :https://www.scopus.com/authid/detail.uri?authorId=26029495600

ORCID link :https://orcid.org/0000-0001-5496-3038

Research Grants

1. Semi-supervised learning for text classification, 1.5 lakhs BCUD, University of Pune, Two years

2. Crop monitoring using machine learning and robotics, 5.4 lakhs, ARTPARK Bangalore, 1 year