Dr. Nitin Kumar Chauhan is an engineering educator and researcher with 8+ years of academic experience in Electronics & Communication Engineering and Computing. He is currently serving as the Program Head (ECE) & Assistant Professor in the School of Computing at MIT Vishwaprayag University, Solapur. Previously, Dr. Chauhan served as an Associate Professor and Assistant Professor in the Department of Electronics & Communication Engineering at Indore Institute of Science and Technology, Indore. His academic career also includes teaching positions at Pusa Institute of Technology, NSUT East Campus, and Greater Noida Institute of Technology.

Dr. Chauhan holds a Ph.D. in Electronics & Communication Engineering from USIC&T, Guru Gobind Singh Indraprastha University, New Delhi. His doctoral research focused on “Optimizing Cervical Cancer Diagnosis through Machine Learning Assisted Feature Extraction and Selection.” He also holds an M.Tech. in ECE from USIC&T and a B.Tech. in ECE from BIT Muzaffarnagar. His major research interests include Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, Medical Image Analysis, and Intelligent Systems. Dr. Chauhan has technical expertise in machine learning techniques such as Support Vector Machines, Random Forests, K-Nearest Neighbors, Decision Trees, and PCA, as well as deep learning approaches including CNNs, RNNs, LSTMs, GANs, and Transfer Learning. His programming and engineering tools include Python, MATLAB, PSpice, Tanner EDA, and HFSS.

A significant part of Dr. Chauhan's research has focused on the application of Machine Learning and Deep Learning for cervical cancer diagnosis and screening using Pap-smear Whole Slide Images (WSIs). He has published 5 SCI/SCIE-indexed journal papers in reputed international journals, including Scientific Reports, New Generation Computing, BioMed Research International, and Wireless Personal Communications. Dr. Chauhan has also contributed 16 conference papers, including 11 conference papers explicitly listed in his resume as IEEE Xplore and Scopus indexed. His conference research spans areas including Artificial Intelligence, Deep Learning, Brain Tumor Detection, Embedded Vision, IoT, Robotics, Healthcare, Agentic AI, and Intelligent Systems. In addition to journal and conference publications, Dr. Chauhan has contributed a Scopus-indexed book chapter titled Hardware Security in AI-Enabled Smart Vehicles: Key Components and Dynamics. He is also an inventor associated with the Indian design registration “AI-based Solar Power Antenna”, Design No. 411217-001, published in June 2024.

Dr. Chauhan is actively involved in the academic research community as a peer reviewer for numerous SCI/SCIE-indexed journals. His review contributions include journals such as Scientific Reports, Biomedical Signal Processing and Control, IEEE Access, Expert Systems with Applications, BMC Bioinformatics, Signal, Image and Video Processing, and several other international journals.

His academic achievements also include qualification of GATE in 2014, 2016, and 2017. He has participated in and contributed to several faculty development programmes, technical training programmes, hackathons, robotics initiatives, and academic conferences. He has also served as a Technical Program Committee member at the 3rd International Conference on Artificial Intelligence, Machine Learning and Cybersecurity (ICAMC-2025) and as a mentor for Team “Drastantah” in the Grand Finale of Smart India Hackathon 2023.

Dr. Chauhan is particularly interested in AI-driven education, applied machine learning, computer vision, medical image analysis, and interdisciplinary research. His teaching philosophy emphasizes the integration of theoretical foundations, practical learning, problem-solving, and research-oriented approaches to encourage creativity, higher-order thinking, innovation, and meaningful learning outcomes.