Debashis Chatterjee | Artificial Intelligence | Young Researcher Award

Assist. Prof. Dr. Debashis Chatterjee | Artificial Intelligence | Young Researcher Award

Visva Bharati University | India

Dr. Debashis Chatterjee is an Assistant Professor in the Department of Statistics at Visva-Bharati University, Santiniketan. He holds advanced degrees in Statistics from the Indian Statistical Institute and has contributed significantly to interdisciplinary applications of statistics in STEM disciplines. His work bridges statistical theory with practical applications in astronomy, biology, geology, and medical sciences. He has authored and supervised research focusing on Bayesian statistics, machine learning, and computational methods. With a strong academic background, teaching experience, and an active research profile, he continues to make meaningful contributions to the field of statistics and its applications across diverse domains.

Professional Profile

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Education

Dr. Debashis Chatterjee completed his Bachelor’s, Master’s, and Doctoral degrees in Statistics from the Indian Statistical Institute, one of the most prestigious institutions in the field. His studies were concentrated in the areas of mathematical statistics, probability, and interdisciplinary applications of statistical methods. His doctoral research focused on advanced statistical methodologies, combining theory with applications in areas like astronomy, earth sciences, and medical sciences. The rigorous training at ISI provided him with a strong foundation in both theoretical and applied statistics. This academic journey equipped him with the expertise to bridge statistical principles with complex real-world scientific challenges.

Professional Experience

Dr. Debashis Chatterjee serves as an Assistant Professor at Visva-Bharati University, where he has been actively engaged in teaching and research. He teaches a wide range of courses at undergraduate and postgraduate levels, covering topics in regression, statistical inference, real analysis, and linear algebra. Alongside classroom teaching, he supervises dissertation projects at both undergraduate and postgraduate levels, guiding students in applying advanced statistical techniques. His professional journey also includes mentoring PhD scholars and collaborating with researchers from diverse disciplines. With prior teaching and research involvement at the Indian Statistical Institute, he has developed a robust academic and professional portfolio.

Awards and Recognition

Dr. Debashis Chatterjee has been recognized for both his academic and teaching contributions. He has received awards for paper presentations at national academic forums and has been featured in leading newspapers for his impactful research on subjects like bird migration and earthquake prediction using statistical approaches. His excellence in teaching has also been acknowledged through honors based on student feedback. Earlier in his academic career, he achieved recognition in national-level Olympiads in mathematics and astronomy. These accolades reflect his ability to integrate statistical theory with practical challenges and his commitment to advancing both research and pedagogy in statistics.

Research Skills

Dr. Debashis Chatterjee possesses expertise in interdisciplinary statistical theory and its applications across astronomy, geology, biology, and medical sciences. His research interests include Bayesian statistics, machine learning, stochastic processes, and computational methods. He focuses on novel statistical methodologies applied to complex real-world scientific problems, including spatio-temporal modeling, geostatistics, astrostatistics, and bioinformatics. His work also explores artificial intelligence, probabilistic robotics, and applications of big data in genetics and astronomy. Skilled in both theoretical development and practical implementation, he integrates statistical learning with applied sciences, offering innovative solutions to pressing scientific and technological challenges. He also mentors research scholars in these areas.

Notable Publications

Whisperers of whales wander: A directional statistical investigation of whales’ migration influenced by geomagnetic, ocean current, and celestial cues
Author: D Chatterjee, P Ghosh
Journal: Journal for Nature Conservation, 127011
Year: 2025

On the directional nature of the fall of celestial objects on the surface of Venus
Author: D Chatterjee, P Ghosh
Journal: Planetary and Space Science, 106167
Year: 2025

A novel Bayesian approach based on wing geometric morphometry to discriminate Culicoides species (Diptera: Ceratopogonidae)
Author: N Banerjee, S Maitra Mazumdar, A Pal, D Chatterjee, A Mazumdar
Journal: Journal of Medical Entomology, tjaf082
Year: 2025

Circular insights for rhythmic health: A Bayesian approach with stochastic diffusion for characterizing human physiological rhythms with applications to arrhythmia detection
Author: D Chatterjee, S Saha, P Ghosh
Journal: PLOS ONE 20 (6), e0324741
Year: 2025

Bayesian hierarchical modeling of mucosal immune responses and growth efficiency in young animals: Demonstrating the superiority of data-dependent empirical priors
Author: D Chatterjee, P Ghosh
Journal: PLOS ONE 20 (6), e0326273
Year: 2025

Conclusion

Dr. Debashis Chatterjee’s career reflects a blend of strong academic training, impactful research, and dedicated teaching. His ability to link statistical theory with diverse scientific applications has positioned him as a versatile academic contributing across STEM disciplines. Through his teaching, he nurtures young statisticians, while his research advances the role of statistics in solving complex problems in natural and applied sciences. Recognized for his innovative contributions, he continues to expand the frontiers of interdisciplinary statistics. His achievements highlight his commitment to advancing both scholarship and pedagogy, reinforcing his role as a researcher, mentor, and educator in the statistical sciences.

Vaibhav C. Gandhi | Computer Science | Best Researcher Award

Mr. Vaibhav C. Gandhi | Computer Science | Best Researcher Award

Madhuben and Bhanubhai Patel Institute of Technology (MBIT) The Charutar Vidya Mandal (CVM) University, India

Author Profile

GOOGLE SCHOLAR

🎓 EARLY ACADEMIC PURSUITS

Prof. Vaibhav C. Gandhi embarked on his academic journey with a Bachelor’s degree in Computer Engineering from Gujarat University in 2011. Fuelled by a keen interest in computing and intelligent systems, he completed his Master’s degree in Computer Engineering from Gujarat Technological University in 2013. His foundational education laid a robust platform for a future steeped in academic inquiry and technological innovation.

🏢 PROFESSIONAL ENDEAVORS

Prof. Gandhi brings over 13 years of rich academic experience and 1.5 years in the IT industry. His academic career includes tenure at esteemed institutions such as:

  • Charusat University

  • Navrachana University

  • Parul University

  • Gujarat Technological University

  • MBIT – Charutar Vidya Mandal University, where he currently serves as Assistant Professor.

In the IT domain, he worked as a Software Developer at Odysseus Solutions, Vadodara, acquiring critical skills in:

  • ASP.NET, MVC, C#

  • Scrum Master methodologies

  • SQL Server, GitHub, Postman, and Web Services

📚 CONTRIBUTIONS AND RESEARCH FOCUS IN COMPUTER SCIENCE

Prof. Gandhi’s research bridges core areas of Computer Vision, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Data Mining, with a strong interdisciplinary emphasis on healthcare applications—notably the early detection of Glaucoma Disease using CNNs and image processing.

He is currently pursuing his Ph.D. in Machine Learning and Deep Learning from Gujarat Technological University, further solidifying his specialization in medical diagnostics powered by intelligent algorithms.

🏅 ACADEMIC CITATIONS, ACCOLADES AND RECOGNITION

Prof. Gandhi has authored over 25+ publications, including research papers and book chapters in internationally reputed platforms such as:

  • Springer

  • Web of Science

  • Wiley Scrivener Publishing

  • Apple Academic Press – CRC, Taylor and Francis Group

He is a recognized member of notable global and national bodies:

  • ISTE – Indian Society for Technical Education

  • IAENG – International Association of Engineers

  • SDIWC – Society of Digital Information and Wireless Communications

🌍 IMPACT AND INFLUENCE

Prof. Gandhi’s influence extends beyond the classroom. He has delivered numerous expert sessions and FDP lectures at prestigious institutions such as:

  • IIT Roorkee (Image Processing & Pattern Recognition)

  • M.S. University, Vadodara

  • Shri Vishnu Engineering College for Women, Andhra Pradesh

  • Bonam Venkatachalamayya Engineering College, Andhra Pradesh

Through these platforms, he has mentored faculty, researchers, and students, sharing deep insights into:

  • Generative AI

  • Convolutional Neural Networks (CNNs)

  • MLOPs (Machine Learning Operations)

  • Medical Image Enhancement and Analysis

🧭 LEGACY AND FUTURE CONTRIBUTIONS

Prof. Gandhi’s legacy lies in his hybrid academic-industry background, his pedagogical innovations, and his pioneering research in AI for healthcare. His future contributions are expected to further evolve the use of ML/DL in biomedical diagnostics, enhance faculty training in AI systems, and build collaborative research ecosystems across institutions.

 ✅CONCLUSION

Prof. Vaibhav C. Gandhi exemplifies a committed academician and technologist whose work harmonizes rigorous scholarship, impactful teaching, and real-world problem solving. With a visionary outlook toward AI-led healthcare diagnostics, he continues to shape minds, mentor scholars, and drive innovation in computer science.

🔬NOTABLE PUBLICATION:

Title: A Survey: Background Subtraction Techniques
Authors: H.M. Desai, V. Gandhi
Journal: International Journal of Scientific & Engineering Research
Year: 2014

Title: Review on Comparison between Text Classification Algorithms
Authors: Vaibhav C. Gandhi, Jignesh A. Prajapati
Journal: International Journal of Emerging Trends & Technology in Computer Science
Year: 2012

Title: A Survey – Insights of ML and DL in Health Domain
Authors: V.C. Gandhi, P.P. Gandhi
Conference: 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS)
Year: 2022

Title: Forecasting Maternal Women’s Health Risks using Random Forest Classifier
Authors: D. Thakkar, V.C. Gandhi, D. Trivedi
Conference: 2024 International Conference on Inventive Computation Technologies (ICICT)
Year: 2024

Title: Cloud Computing with Data Warehousing
Authors: V.C. Gandhi, J.A. Prajapati, P.A. Darji
Journal: International Journal of Emerging Trends & Technology in Computer Science
Year: 2012