0000-0003-3792-7945 About
Dr. Upendra Kumar is an Assistant Professor in the Department of Computer Science and Engineering at the Institute of Engineering & Technology (IET), Lucknow, India. He is also Associate Dean of Student Welfare in IET Lucknow since 2017 onwards and served as Associate Dean of Student Welfare and Associate Dean of Computer Application in AKTU Lucknow for around 04 years. He is also Co-Convener of Board of Study for MCA program at AKTU Lucknow. He has earned his Ph.D. in Computer Science & Engineering from Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow in association with IIIT Allahabad in 2015, and his M.Tech. in Information Technology from the Indian Institute of Information Technology (IIIT), Allahabad, graduating with First Honours. Dr. Kumar’s research interests encompass Human Cognition-inspired Models, Artificial Intelligence, Explainable AI, Biomedical Signal and Image Processing, Deep Learning, and Cyber Security. He has around four years’ industrial experience in renowned organization in TCS. He has more than 16 years teaching and research experience. He has spearheaded several high-impact, government-funded research projects, including a ₹2.01 crore MeitY-funded (Govt. of India) initiative on cryptography and information security, a ₹1.61 crore ICMR-funded project on AI-driven chronic pain management and a 13.08 lacs UP-CST funded project on Indian Sign Language Gesture Recognition. He has published 40+ international and national journal research articles and 20+ book chapters. He has edited 02 books in CRC press, Tayler & Francis and 03 text books in reputed national publishers. He has been awarded “Best Teachers Award, 2022” in the overall performance category, by AKTU, Lucknow, India. He is a member of World Research Fellow of London (WRFL) run by Universal World Research Innovation Centre, London, UK since July 2025. He is also member of academia for constitution of advisory board for providing incubation services at STPI- UP (society under Ministry of Electronics & Information Technology (MeitY), Government of India) incubation center, since 24/06/2021.
Employment
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Institute of Engineering and Technology Lucknow Assistant Professor2017 - Present
Education
Education history is unavailable.
Projects & Funding
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Publications (32)
- Audiobook Usage Patterns Using Big Data Analytics: Insights from Large-Scale Cloud Data Analysis Save
- A Non-invasive Approach for the Classification of the Coronavirus Disease from CT Scan Images Using Machine Learning in Combination with Hybrid Texture Features Save
- Object recognition using cognition based decision tree clustering in multi-level artificial neural network classifier and self similarity as feature criterion Save
- A noval approach of classification of COVID-19 from chest CT-Scan images using ensemble classifier in combination with cognition based texture features Save
- A Novel Approach for Object Recognition Using Decision Tree Clustering by Incorporating Multi-Level BPNN Classifiers and Hybrid Texture Features Save
- Automated Detection and Classification of Rice Crop Diseases Using Advanced Image Processing and Machine Learning Techniques Save
- Image splicing detection system using intensity-level multi-fractal dimension feature engineering and twin support vector machine based classifier Save
- Analysis of Meta-Heuristic Feature Selection Techniques on classifier performance with specific reference to psychiatric disorder Save
- An efficient approach for automated system to identify the rice crop disease using intensity level based multi-fractal dimension and twin support vector machine Save
- Advanced Research in Electronic Devices for Biomedical and mHealth Save