Dr. Subhranil Das | Fake Detection | Data Scientist of the Year Award

Dr. Subhranil Das | Fake Detection | School of UPES | India

Dr. Subhranil Das is an accomplished academician, researcher, and innovator specializing in Artificial Intelligence, Machine Learning, Computer Vision, and Robotics. With a strong academic foundation and extensive teaching, research, and industry experience, he has made significant contributions to the advancement of AI-driven technologies, particularly in the areas of autonomous mobile robots, path planning, and obstacle avoidance systems. Currently serving as an Assistant Professor (Senior Scale) at the School of Computer Science, University of Petroleum and Energy Studies (UPES), Dehradun, Dr. Das is actively involved in teaching, guiding research projects, publishing impactful research papers, and developing innovative AI-based solutions. His work bridges the gap between theory and practical implementation, integrating advanced machine learning models with robotics, healthcare, and computational intelligence applications.

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Summary of Suitability

Dr. Subhranil Das is an accomplished researcher and academician with a Ph.D. in Artificial Intelligence (BIT Mesra), specializing in AI-driven autonomous robotics, deep learning, multimodal healthcare analytics, and computer vision. His extensive academic contributions, impactful publications, and leadership in research projects establish him as a highly suitable candidate for the Best Researcher Award.

Education

Dr. Subhranil Das holds a Ph.D. in Artificial Intelligence from the Birla Institute of Technology, Mesra, Ranchi, where his doctoral research focused on the development of adaptive models for path planning in autonomous mobile robots. He also earned an MCA in Artificial Intelligence and Machine Learning from Parul University, Vadodara, securing first-class honors. Additionally, he completed an M.E. in Control Systems from Birla Institute of Technology, Mesra, and a B.Tech in Electrical and Electronics Engineering from SRM University, Chennai, both with distinction. His strong educational background has enabled him to integrate core engineering concepts with cutting-edge AI techniques, fostering multidisciplinary expertise.

Experience

Dr. Subhranil Das has more than seven years of academic experience combined with two years of industry exposure. At UPES Dehradun, he teaches courses such as Computer Graphics, Computer Organization, Python Programming, Data Communication, and Networks, while mentoring B.Tech and MCA students on AI-based research and capstone projects. Previously, he served as an Assistant Professor at MIT World Peace University (MIT-WPU), Pune, where he contributed significantly to curriculum design, academic documentation, and program coordination, as well as guiding MCA students in AI and machine learning projects. He also worked at Vidya Vihar Institute of Technology, where he taught Electrical and Electronics Engineering for four years and managed laboratory-based research activities. In addition, he has industry experience as a Design Engineer at Bharat Consultants, Kolkata, where he developed and analyzed hardware-driven systems integrating AI, robotics, and MATLAB simulations. His involvement in both academic and industrial domains equips him with a unique perspective that benefits his teaching, mentoring, and research.

Research Interests

Dr. Subhranil Das primary research interests lie in Artificial Intelligence, Machine Learning, Deep Learning, Autonomous Robotics, and Medical Image Analysis. He has developed adaptive path planning models for autonomous mobile robots, focusing on obstacle avoidance using AI-driven hybrid architectures. His research further extends to 3D convolutional neural networks, vision transformers, attention-based models, and generative adversarial networks for medical diagnostics, particularly in early detection of Alzheimer’s disease. He also explores optimization algorithms, computational intelligence, and multi-modal data fusion for performance enhancement in real-time AI applications. His work combines data-driven modeling and robotics-based experimentation, enabling innovative solutions for complex engineering and healthcare challenges.

Awards

Dr. Subhranil Das has been recognized for his outstanding research contributions and academic excellence. He was awarded the Institute Research Fellowship during his Ph.D. tenure at BIT Mesra and has received multiple nominations for Best Researcher Awards at national and international levels. He has been acknowledged for his significant work in Artificial Intelligence, Robotics, and Medical Image Analysis, earning invitations to serve as a reviewer for several reputed SCIE and Scopus-indexed journals, including Computers and Electrical Engineering (Elsevier), Journal of Intelligent & Fuzzy Systems (IOS Press), and Soft Computing (Springer). These recognitions highlight his consistent commitment to advancing impactful and interdisciplinary AI research.

Publication Top Notes

Multimodal diagnosis of Alzheimer’s disease based on volumetric and cognitive assessments

Advancements in computational emotion recognition: a synergistic approach with the emotion facial recognition dataset and RBF-GRU model architecture

Machine Learning Applications in Software Engineering: A Systematic Literature Review

Conclusion

Dr. Subhranil Das is a distinguished academician and researcher whose work bridges artificial intelligence, robotics, and healthcare applications. Through his impactful publications, innovative research methodologies, and contributions to autonomous robotics and medical image processing, he has established himself as a leading researcher in his field. His strong academic background, teaching excellence, industry collaborations, and dedication to guiding research projects position him as a highly deserving candidate for the Best Researcher Award. With a clear vision for leveraging AI to solve real-world challenges, Dr. Das continues to inspire students, contribute to the global research community, and drive innovation in emerging technologies.