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

Deepti Deshwal | Artificial Intelligence | Women Researcher Award

Dr. Deepti Deshwal | Artificial Intelligence | Women Researcher Award

Maharaja Surajmal Institute of Technology New Delhi | India

Dr. Deepti Deshwal is an accomplished Assistant Professor in Electronics & Communication Engineering with extensive teaching experience and expertise in Artificial Intelligence, Machine Learning, speech processing, biomedical image analysis, and computer vision. She holds a Ph.D. in AI and has contributed significantly through SCI/SCIE publications, editorial roles, and funded research projects. Recognized with multiple research awards, she actively mentors Ph.D. students and fosters innovation through IPR initiatives, conferences, and technical workshops. Her work bridges academic excellence with practical AI applications, driving technology-driven societal impact.

Citation Metrics (Scopus)

350
300
20
10
0

Citations
306

h-index
9

Documents
22

Citations

h-index

Documents

Featured Publications


Economic analysis of lithium ion battery recycling in India


Wireless Personal Communications · 64 citations · 2022


Feature extraction methods in language identification: a survey


Wireless Personal Communications · 59 citations · 2019


Isolated word language identification system with hybrid features from a deep belief network


International Journal of Communication Systems · 34 citations · 2023
Citation counts may vary across databases; links redirect to publisher pages or Google Scholar search results for accessibility.

Runu Banerjee Roy | Artificial Intelligence | Best Researcher Award

Dr. Runu Banerjee Roy | Artificial Intelligence | Best Researcher Award

Jadavpur University| India

Dr. Runu Banerjee Roy is a Professor in Instrumentation and Electronics Engineering at Jadavpur University, widely recognized for her contributions to electronic olfaction, taste sensing, molecular imprinting, sensor development, and artificial intelligence–based instrumentation. She has an extensive research profile with 1213 citations, an h-index of 17, and an i10-index of 25, reflecting her strong scholarly impact and research productivity. Her publication record includes more than 50 peer-reviewed journal papers, around 40 conference papers, multiple book chapters, and several patents that are granted, published, or filed. She has successfully guided doctoral and postgraduate research scholars and completed multiple sponsored research projects funded by major scientific agencies, focusing on portable sensing devices, electronic nose and tongue systems, and electrochemical detection technologies for applications in food quality and safety. In academics, she has served in leadership roles such as Head of Department, NBA accreditation coordinator, and curriculum committee member, contributing to program development and quality enhancement. Her work has earned recognition through competitive research awards, scientific prizes, and support for international research presentations. With strong expertise spanning instrumentation, intelligent sensing systems, and applied electronics, she continues to advance innovative research, academic excellence, and technology-driven solutions in modern sensor engineering.

Profile: Google Scholar | Scopus

Featured Publications

Roy, R. B., Tudu, B., Shaw, L., Jana, A., Bhattacharyya, N., & Bandyopadhyay, R. (2012). Instrumental testing of tea by combining the responses of electronic nose and tongue. Journal of Food Engineering, 110(3), 356–363.

Banerjee, M. B., Roy, R. B., Tudu, B., Bandyopadhyay, R., & Bhattacharyya, N. (2019). Black tea classification employing feature fusion of E-Nose and E-Tongue responses. Journal of Food Engineering, 244, 55–63.

Banerjee, R., Tudu, B., Bandyopadhyay, R., & Bhattacharyya, N. (2016). A review on combined odor and taste sensor systems. Journal of Food Engineering, 190, 10–21.

Roy, R. B., Chattopadhyay, P., Tudu, B., Bhattacharyya, N., & Bandyopadhyay, R. (2014). Artificial flavor perception of black tea using fusion of electronic nose and tongue response: A Bayesian statistical approach. Journal of Food Engineering, 142, 87–93.

Nag, S., Pradhan, S., Naskar, H., Roy, R. B., Tudu, B., Pramanik, P., … et al. (2021). A simple nano cerium oxide modified graphite electrode for electrochemical detection of formaldehyde in mushroom. IEEE Sensors Journal, 21(10), 12019–12026.

Bappa Mukherjee | Artificial Intelligence | Best Researcher Award

Dr. Bappa Mukherjee | Artificial Intelligence | Best Researcher Award

Wadia Institute of Himalayan Geology, Dehradun | India

Prof. Motireddy Srinivasulu Reddy is a distinguished academician and researcher recognized for his impactful work in toxicology. He has contributed significantly to advancing knowledge in the field through teaching, research, and scholarly publications. With a strong commitment to academic excellence, he has guided numerous students and inspired them toward scientific inquiry. His professional journey reflects dedication, innovation, and leadership in research. Prof. Reddy has earned respect in the academic community for his integrity and contributions to science, making him a role model for aspiring researchers. His work continues to benefit both academia and society at large.

Professional Profiles

Scopus | Orcid

Education

Prof. Motireddy Srinivasulu Reddy pursued higher education in the field of science and specialized in toxicology. His academic journey provided him with strong theoretical foundations and practical expertise in analyzing chemical substances and their impact on living organisms. Through rigorous academic training, he developed an in-depth understanding of toxicological processes and advanced laboratory techniques. His education laid the groundwork for his research career, where he applied scientific methodologies to address real-world problems. He has continuously expanded his knowledge base through academic research, publications, and collaborations, reflecting his dedication to lifelong learning and excellence in scientific advancement.

Professional Experience

Prof. Motireddy Srinivasulu Reddy has gained extensive professional experience as a researcher, educator, and mentor. He has been actively engaged in teaching, guiding students in toxicology, and contributing to curriculum development in the field of science. His research has focused on analyzing toxic substances, studying their environmental and health impacts, and proposing innovative solutions. Alongside academic roles, he has contributed to scientific forums, conferences, and collaborative research initiatives. His professional experience demonstrates a balance between teaching, research, and service, making him an integral contributor to academic institutions and scientific communities committed to advancing toxicological studies.

Awards and Recognition

Prof. Motireddy Srinivasulu Reddy has received awards and recognition for his valuable contributions in toxicology and scientific research. His achievements highlight his dedication to innovation and knowledge dissemination within the academic and research community. He has been honored for his outstanding performance in research, publications, and scholarly impact. Such recognitions reflect the high regard his peers hold for his expertise and commitment to excellence. These awards not only validate his academic and research efforts but also encourage him to continue contributing toward solving scientific challenges. His recognition demonstrates the significance of his role in advancing toxicology.

Research Skills

Prof. Motireddy Srinivasulu Reddy possesses strong research skills in toxicology, focusing on the analysis of chemical effects, biological interactions, and environmental implications. His expertise includes conducting laboratory experiments, applying advanced methodologies, and interpreting scientific data to derive meaningful outcomes. He is proficient in designing research frameworks, identifying innovative solutions, and contributing to evidence-based scientific knowledge. His ability to integrate theoretical principles with practical approaches has enabled him to publish impactful work. Additionally, his skills extend to mentoring students and guiding them in developing their research potential, thereby strengthening the academic and scientific research community.

Notable Publications

Earthquake prediction using machine learning perspectives in Himalayan seismic belt and its surroundings
Author: Bappa Mukherjee, Ritesh Lal Shaw, Mukat Lal Sharma, Kalachand Sain
Journal: Journal of Asian Earth Sciences
Year: 2025

3D U-Net assisted fault probability prediction from seismic volume in Dibrugarh oil field, upper Assam shelf, NE India
Author: Bappa Mukherjee, Soumitra Kar, Kalachand Sain
Journal: Physics and Chemistry of the Earth, Parts A/B/C
Year: 2025

Machine learning assisted crustal velocity proxy: A case study over the Tibetan Plateau and its surroundings
Author: Bappa Mukherjee, P.K. Gautam, Kalachand Sain
Journal: Journal of Asian Earth Sciences
Year: 2024

Machine learning assisted gas hydrate saturation proxy: A case study from KG basin, India
Author: S. Konar, Bappa Mukherjee, Kalachand Sain
Journal: Himalayan Geology
Year: 2024

Conclusion

Prof. Motireddy Srinivasulu Reddy has established himself as a respected figure in academia and research through his dedication to toxicology and scientific excellence. His educational background, professional experience, awards, and research skills demonstrate his commitment to advancing the frontiers of knowledge. By contributing to teaching, research, and mentoring, he has played an essential role in shaping the future of students and researchers. His work serves as an inspiration for the academic community, reflecting values of hard work, integrity, and innovation. Prof. Reddy continues to be a driving force in advancing scientific inquiry and societal development.