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Mrityunjay Chaubey
Assistant Professor
Profile Summary
Mrityunjay Chaubey is an Assistant Professor in the School of Computer Science with expertise in Signal, Image, and Video Processing, along with safety-critical applications of Computer Vision.
He has published several research articles in high-impact journals, including IEEE Transactions, and collaborates on interdisciplinary projects integrating Artificial Intelligence with healthcare applications.
He is actively involved in teaching, research supervision, and curriculum development, emphasizing practical learning and real-world problem-solving.
Work Experience
Mrityunjay Chaubey has experience teaching undergraduate and postgraduate Computer Science and Mathematical Sciences courses. He mentors student projects, supervises research work, and contributes to academic and research initiatives, with a focus on applied Artificial Intelligence and healthcare analytics.
Research Interests
Safety-Critical Applications of Computer Vision | Signal Processing | Image Processing | Video Processing | Artificial Intelligence | Machine Learning | Deep Learning | Healthcare Analytics
Teaching Philosophy
He follows an outcome-based teaching approach integrating theory with hands-on practice. He encourages analytical thinking, problem-solving, and application-oriented learning aligned with industry and research needs.
His teaching methodology focuses on preparing students for both professional and research careers through experiential learning.
Courses Taught
Data Structures | Design and Analysis of Algorithms | Artificial Intelligence | Machine Learning | Deep Learning | Digital Signal Processing | Digital Image Processing | Video Processing | Digital Electronics | Applied Statistics
Awards and Achievements
Awarded UGC Junior Research Fellowship and Senior Research Fellowship during his Ph.D.
Selected for the National Visiting Student Program at Bhabha Atomic Research Centre, Mumbai, for three semesters.
Selected for the International Visiting Student Program to work with the Software, Data and Digital Ecosystems Group at the Norwegian University of Science and Technology, Gjøvik, Norway.
Scholarly Activities
Mrityunjay Chaubey is actively engaged in scholarly research in the areas of Artificial Intelligence, Machine Learning, Deep Learning, Computer Vision, and data-driven healthcare applications.
His research contributions focus on digital signal, image, and video processing, medical image processing, biomedical signal analysis, and AI-based clinical decision-support systems.
He has authored and co-authored several research papers published in reputed peer-reviewed journals indexed in Scopus and Web of Science, including IEEE Transactions.
He actively collaborates with researchers from interdisciplinary domains, including healthcare and biomedical sciences, and has participated in national and international research programs.
He is involved in supervising student research projects at undergraduate and postgraduate levels and regularly mentors students in applied AI and data science research. He also contributes to the academic community through peer review activities, research discussions, and curriculum development.
