Dr. Amit K. Chanchal
POSITIONAssistant Professor
DEPARTMENTSchool of Computing
EMAILamit.chanchal@mitvpu.ac.in
LINKEDINView Profile
Bio
Dr. Amit Kumar Chanchal is an Assistant Professor and Program Head for B.Tech Information Technology at MIT Vishwaprayag University, Solapur. He earned his Ph.D. in Deep Learning, Computer Vision, and Image Processing as a full-time scholar from National Institute of Technology Karnataka (NITK), Surathkal. His doctoral thesis focused on deep learning for nuclei segmentation and classification in histopathology images. With 10 years of teaching experience and 4 years of research experience, his core work centers on developing deep learning architectures, computer vision, machine learning, and signal processing.
Professional Experience
Assistant Professor & Program Head (B.Tech IT) – MIT Vishwaprayag University, Solapur (April 2024 – Present)
Assistant Professor – KIT Kolhapur (December 2022 – April 2024)
Assistant Professor – Moradabad Institute of Technology, Moradabad, UP, India (July 2011 – June 2018)
Skills & Core Competencies
- Core Domains: Deep Learning Architectures, Machine Learning, Artificial Intelligence, Computer Vision, Image Processing, Signal Processing
- Teaching Expertise / Subjects Taught: Python Programming with Applications in Signal and Image Processing, Deep Learning, Image Processing and Computer Vision, Digital Signal Processing, Signals & Systems, Linear Algebra, The Joy of Computing Using Python
Qualification
- Ph.D. – Deep Learning, Computer Vision, Image Processing, NITK Surathkal (2023)
- M.E. – Electronics and Communication Engineering, NITTTR, Chandigarh (2016)
- B.Tech – Electronics and Communication Engineering, West Bengal University of Technology (WBUT), Kolkata (2010)
Award & Achievement
- GATE Qualified: 2020, 2014, 2013, 2012
- Journal Reviewer: Reviewer for Circuits, Systems, and Signal Processing, Scientific Reports, and IEEE Transactions on Artificial Intelligence
- Professional Membership: IEEE Member
Areas of Research
- Development of Deep Learning Architectures
- Machine Learning & Artificial Intelligence
- Computer Vision & Image Processing
- Signal Processing
Research & Publications
Journal Publications: 12
Scopus Indexed Journals: 10
(Q1, Scopus) Conference Publications / International Conferences: 5
(Scopus Indexed) Book Chapters: 1
Google Scholar Link: https://scholar.google.com/citations?user=Q3dvfLAAAAAJ&hl=en
Scopus Profile: https://www.scopus.com/authid/detail.uri?authorId=57216687026https://www.scopus.com/authid/detail.uri?authorId=57216687026
