Jeba Sonia J | Artificial Intelligence | Chemistry | Best Academic Researcher Award

Dr. Jeba Sonia J | Artificial Intelligence | Chemistry | Best Academic Researcher Award

SRM Institute of Science and Technology, India

Dr. Jeba Sonia J is an accomplished academician and researcher in Computer Science and Engineering with extensive experience in teaching, mentoring, and curriculum development across undergraduate, postgraduate, and professional programs. Her academic background includes doctoral and postgraduate training in computer science. Her research interests span artificial intelligence, machine learning, deep learning, data science, computer networks, and wireless communications, with notable contributions through high-impact publications and patents. She has received prestigious fellowships, best paper recognition, and faculty excellence awards, demonstrating sustained excellence in research, teaching, and academic leadership.

Citation Metrics (Google Scholar)

220
160
10
5
0

Citations
209

h-index
8

i10index
7

Total Citations

h-index

i10-index

Featured Publications


Authentication of biometric system using fingerprint recognition with euclidean distance and neural network classifier


– International Journal of Innovative Technology and Exploring Engineering · Cited by 35


K-means clustering and SVM for plant leaf disease detection and classification


– International Conference on Recent Advances in Energy-efficient Technologies · Cited by 29


Green buildings and sustainable engineering


– Springer Transactions in Civil and Environmental Engineering · Cited by 15

Rajesh D | Artificial Intelligence | Best Academic Researcher Award

Dr. Rajesh D | Artificial Intelligence | Best Academic Researcher Award

National Council of Educational Research and Training | India

Dr. Rajesh D is an Associate Professor and senior academic leader with extensive experience in ICT, information security, and educational technology. His academic background spans computer science and information technology, complemented by professional certifications in data science, Python, and AI for education. With significant teaching and research experience, his work focuses on knowledge discovery, data analytics, AI-driven learning systems, and ICT for inclusive education. His research contributions, patents, publications, and national-level recognitions highlight his impact on technology-enabled education and cyber security leadership.

Research Profile : Orcid

Featured Publications

Doss, R. (2024). Quasi oppositional Jaya algorithm with computer vision based deep learning model for emotion recognition on autonomous vehicle drivers. Journal of Intelligent Systems and Internet of Things. https://doi.org/10.54216/jisiot.140111

Doss, R. (2024). A study on the implications of ensemble learning for education in India. International Journal of All Research Education & Scientific Methods.

Doss, R. (2023). A study of distance education to enhance employability of students in higher education. International Journal of Research Publication and Reviews.

Doss, R. (2023, July 26). Classification and characterization of internet worms for automatic containment. In Multi-Disciplinary Research and Practice (Conference proceedings).

Raja, S., Manikandasaran, S. S., & Doss, R. (2022). Threat modeling and IoT attack surfaces. In Innovations in Communication and Computing. Springer. https://doi.org/10.1007/978-3-030-66607-1_11

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

Google Scholar

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.