S.S.Subashka Ramesh | Medicinal Chemistry | Best Researcher Award-duplicate-1

Published-on by Indian Scientist

Dr. S.S. Subashka Ramesh | Data Science and Machine learning | Best Researcher Award

SRM Institute of Science and Technology india, India

Dr. S.S. Subashka Ramesh is an accomplished academic and researcher in Computer Science and Engineering with a strong foundation in advanced computing and data-driven technologies. Holding doctoral and postgraduate qualifications, she has extensive teaching and research experience, mentoring scholars and contributing to impactful innovations. Her research interests include machine learning, artificial intelligence, edge computing, and medical imaging. With notable publications, patents, and academic leadership, she has earned professional recognition and continues to advance knowledge through research, collaboration, and technology-driven solutions for real-world challenges.

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Featured Publications

Shanmugam S | Machine Learning | Best Researcher Award

Published-on by Indian Scientist

Dr. Shanmugam S | Machine Learning | Best Researcher Award

SRM Institute of Science and Technology | India

Dr. Shanmugam S is an academic and researcher in the field of computing technologies with a focus on Artificial Intelligence and Machine Learning. His scholarly portfolio reflects professional engagement with advanced areas including Soft Computing, Transfer Learning, and Quantum Computing. He has completed his doctoral research in Information and Communication, supported by previous postgraduate and undergraduate education in computer science and information technology disciplines. His publication record includes 24 research documents, with 342 citations received from 322 referencing documents, supported by an h-index of 8, highlighting the relevance and impact of his contributions in the research community. He has accumulated significant teaching and research experience, handling courses such as Data Structures, Object-Oriented Programming, Big Data for Machine Learning, Software Engineering, Business Computing, and Philosophy of Engineering. His efforts extend to guiding students, contributing to departmental academic activities, and participating in various scholarly workshops, seminars, and conferences. His research interests continue to explore emerging computational paradigms and their applications in solving real-world challenges. He has received recognition for academic and research contributions, reinforcing his professional standing. Overall, his work contributes to the advancement of intelligent systems and computational innovation.

Profile: Scopus

Featured Publications

Role of hydroxychloroquine in primary glomerular disease – a systematic review and meta-analysis of the current evidence. BMC Nephrology. (2025).

Exploring the ability of emerging large language models to detect cyberbullying in social posts through new prompt-based classification approaches. Information Processing and Management. (2025).

Vaibhav C. Gandhi | Computer Science | Best Researcher Award

Published-on by Indian Scientist

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