Head of the Department at Scott Christian College (Autonomous),India
Dr. L. Jaya Singh Dhas is the Head of the Department of Computer Science at Scott Christian College (Autonomous), Nagercoil, Tamil Nadu, India. With over two decades of experience in academia, Dr. Dhas is a distinguished researcher and educator, specializing in areas like Artificial Intelligence, Machine Learning, Data Mining, and Cloud Computing. His work combines theoretical research with practical applications, particularly in the fields of clustering techniques, heart disease prediction, and network security. Dr. Dhas has contributed significantly to the academic community through his research publications, conference participation, and various professional development activities.
Profile
Scopus
Education 🎓
- Ph.D. in Computer Science – Bharathidasan University, Tiruchirappalli (2022), First Class
- M.Phil. in Computer Science – Alagappa University, Karaikudi (1998), First Class
- M.C.A. (Master of Computer Applications) – Bharathidasan University, Tiruchirappalli (1996), First Class
- B.Sc. in Computer Science – Madurai Kamaraj University, Madurai (1991), First Class
Dr. Dhas’ academic qualifications reflect his deep commitment to the field of computer science and his expertise in both foundational and advanced topics within the discipline.
Professional Experience 💼
Dr. Dhas joined Scott Christian College (Autonomous) in 1998, where he has served as the Head of the Department of Computer Science since then. With more than 20 years of teaching and leadership experience, Dr. Dhas has significantly influenced the department’s curriculum and research direction. He is dedicated to fostering academic growth and promoting innovative research among students and faculty.
Research Interests 🔬
Dr. Dhas’ primary research interests lie in Artificial Intelligence, Data Science, Clustering Techniques, Big Data Analytics, and Network Security. He has worked extensively on the following areas:
- Clustering Techniques: Investigating different clustering algorithms for analyzing temporal relational data.
- Heart Disease Prediction: Using machine learning techniques for early-stage heart disease prediction.
- Network Intrusion Detection: Optimizing deep learning approaches for network security.
- Big Data: Exploring synergetic filtering and neural network techniques for handling large datasets.
Awards & Honors 🏆
Dr. Dhas has received multiple recognitions for his outstanding contributions in research and education, including:
- Indian Patent (2022) for “Monitoring E-Health Care System Using Artificial Intelligence Techniques”.
- Member of the Internet Society and International Association of Engineers (IAENG), further reflecting his international recognition in the field.
- Reviewer for several renowned journals, including International Journal of Information Technology and Decision Making (IJITDM) and Journal of Scientific Research and Reports (JSRR).
Achievements 🌟
- Successfully published numerous papers in high-impact journals such as Expert Systems With Applications (Elsevier), International Journal of Engineering and Advanced Technology (IJEAT), and Indian Journal of Natural Sciences (IJONS).
- Served as a reviewer for several prestigious international journals and conferences, contributing to the academic community’s growth.
- Authored multiple book chapters in edited volumes on topics like data clustering and artificial intelligence, further establishing his expertise.
Upcoming Projects 🚀
- Dr. Dhas is currently engaged in projects related to AI-driven healthcare systems, particularly focusing on AI in early disease detection.
- He is also exploring the use of neural networks and big data analytics to tackle contemporary challenges in network security and data privacy.
Publications 📚
- “Hybrid Fast Correlation-based Feature Selection with Improved Weighed Particle Swarm Optimization to Predict and Classify Heart Disease at an Early Stage”, Indian Journal of Natural Sciences (IJONS), Vol. 15, Issue 85, August 2024, Pages 76542 – 76550.
- “Network Intrusion Detection: An Optimized Deep Learning Approach Using Big Data Analytics”, Expert Systems With Applications, Elsevier, Volume 251, 1 October 2024, 123919.
- “Kulczynski Similarity Index Feature Selection based Map Estimated Rocchio Classification for Brain Tumor Disease Diagnosis”, International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC), December 2023.
- “Identification of Clustering Techniques with Temporal Relational Data Points”, International Journal of Interdisciplinary Global Studies (IJIGS), Volume 14, Issue 04, Oct-Dec’ 2020.
- “Efficient Synergetic Filtering in Big Dataset using Neural Network Technique”, International Journal of Recent Technology and Engineering (IJRTE), Volume 8, Issue 5, January 2020, Pages 1349 – 1360.