Bio: Prof. Saravanan Venkataraman has extensive experience in planning, organising, and directing educational programmes for undergraduate and postgraduate students. He has managed BS/B.Tech., M.Tech., MCA, and MSc. students and faculty members and has contributed to curriculum development based on Outcome-Based Education (OBE) principles. He has also facilitated academic collaborations and MOUs with universities for student and faculty exchange, joint research activities, and publications.

His academic expertise includes Digital Forensics, Cyber Security, and Artificial Intelligence. He has a strong understanding of academic regulations, Choice Based Credit System (CBCS), and accreditation processes including NAAC, NBA, NCAAA, and ABET. He is experienced in developing course materials, conducting webinars, and implementing innovative teaching and learning approaches.

Work Experience:

• Aug 2024-June 2024, Riyadh ELM University, Kingdom of Saudi Arabia as Professor Nov 2022-Jul 24
• SRM Institute of Science and Technology, Chennai, India – Vice Principal(Academics)

Projects:

1. Development of Software Metrics and Recommendation System for Undergraduate Student Projects – Served as Principal Investigator for a project funded by King Abdulaziz City for Science and Technology, Kingdom of Saudi Arabia, from August 2015 to September 2016, with funding of Rs. 19,16,000 (SAR 119,750).
2. Association Rule-Based e-Advising Models – Worked as Co-Investigator on a project at Majmaah University, Deanship of Scientific Research, Kingdom of Saudi Arabia, from September 2014 to August 2015, with funding of Rs. 5,76,000 (SAR 36,000).

Publications:

1. V. Umarani, V. Saravanan, J. Jebamalar Tamilselvi. “A Hybrid Grey Wolf-Meta Heuristic and Random Forest Classifier for Handling Imbalanced Credit Card Fraud Data.” International Journal of Intelligent Systems and Applications in Engineering, 11(9), 2023, pp. 718–734.
2. Saravanan, V., Manikandan, R., Maharasan, K.S. et al. “Optimized Attribute Selection Using Artificial Plant (AP) Algorithm with ESVM Classifier (AP-ESVM) and Improved Singular Value Decomposition (ISVD)-Based Dimensionality Reduction for Large Micro-array Biological Data.” Interdisciplinary Sciences: Computational Life Sciences, Springer, 13, 2021, pp. 463–475.
3. Manikandan, R., Saravanan, V. “A Novel Approach on Particle Agent Swarm Optimization (PASO) in Semantic Mining for Web Page Recommender System of Multimedia Data: A Health Care Perspective.” Multimedia Tools and Applications, Springer, 79, 2020, pp. 3807–3829.
4. A. Jebamalai Robinson, V. Saravanan. “An Extractive Based Multi-Document Summarization Using Weighted TFIDF and Centroid Based K-Means Clustering (TF-IDF: CBC) for Large Text Data.” Journal of Critical Reviews, 7(1), 2020, pp. 135–140.
5. Maharasan K.S., V. Saravanan. “To Minimize Fault Report and Bug Fixing Time Using an Efficient Integration of Instance and Aspect Preferment Algorithms.” International Journal of Current Signal Transduction Therapy, 14, 2019, pp. 131–137.

Awards:

1. Techguru Award – SNS Institutions, Coimbatore, India, March 2020.
2. Best Researcher Award – College of Computer and Information Sciences, Majmaah University, Kingdom of Saudi Arabia, May 2017.
3. Distinguished Researcher Award – Deanship of Scientific Research, Majmaah University, Kingdom of Saudi Arabia, April 2016.
4. Outstanding Faculty Award in Computer Science – Venus International Foundation, Chennai, 2015.
5. Research Recognition Award – College of Computer and Information Sciences, Majmaah University, Kingdom of Saudi Arabia, January 2014.
6. The Best Faculty Award – School of Computer Applications, Lovely Professional University, Punjab, India, April 2013.

Areas of Research: Artificial Intelligence, Cyber Security.