Dr. S GOKULRAJ

Dr. S GOKULRAJ

PhD

Associate Professor

Computer Science and Engineering (Cyber Security)
AICTE ID: 1-7452083480
Anna University ID: 7329318

Biography

Dr. S. Gokulraj is currently serving as an Associate Professor in the Department of Computer Science and Engineering (Cyber Security) at Dr. N.G.P. Institute of Technology, Coimbatore, Tamil Nadu. He completed his Bachelor of Engineering (B.E.) in Computer Science and Engineering and Master of Engineering (M.E.) in Computer Science and Engineering from Paavai Engineering College, affiliated with Anna University, Chennai. He earned his doctoral degree from Anna University, Chennai, with research focused on Cloud Computing, Cost Optimization, and Optimization Techniques. With more than 17 years of academic experience, Dr. Gokulraj has established himself as a dedicated educator, researcher, and academic administrator. He has successfully guided over 100 undergraduate and postgraduate student projects, fostering innovation and research-oriented learning. His research interests include Cloud Computing Security, Cost Optimization, Blockchain Integration in Cloud Computing and Cyber Security. He has published more than 15 research papers in reputed international journals and national and international conferences. His scholarly contributions include research on secure cost optimization, cloud security, blockchain-enabled cloud architectures, and AI-driven healthcare data classification. Dr. Gokulraj is also an innovator with three Indian patents and one copyright to his credit, reflecting his commitment to research, innovation, and technology development. He has actively participated in numerous Faculty Development Programmes (FDPs), conferences, workshops, seminars, and technical training programmes across India. He serves as a reviewer for reputed Scopus-indexed journals, including Springer and the International Journal of Recent Scientific Research, contributing to the advancement of quality research in computer science and cyber security. He has successfully secured an AICTE-ATAL grant of ₹93,000 for organizing a five-day AICTE-sponsored Faculty Development Programme on Augmented Reality (AR) and Virtual Reality (VR), demonstrating his active involvement in promoting emerging technologies in higher education. In addition to his teaching and research responsibilities, Dr. Gokulraj actively contributes to academic leadership through various institutional and professional roles. He is a member of several prestigious professional organizations, including the IEEE, Computer Science Teachers Association (CSTA), the International Computer Science and Engineering Society (ICSES), and the International Association of Engineers (IAENG). Through these professional affiliations, he continues to promote collaboration, knowledge sharing, and excellence in education, research, and cyber security.

Academic Credentials

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Degree Specialization Institute University Year of Passing
PhD ICE K.S.Rangasamy College of Technology Anna University 2020
M.E. Computer Science and Engineering Paavai Engineering College Anna University 2010
B.E. Computer Science and Engineering Paavai Engineering College Anna University 2005

Academic & Professional Experience

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Experience / Role Type Organization Duration Total
Associate Professor Teaching Velalar College of Engineering and Technology July 2019 - May 2025 5 Years 11 Months
Assistant Professor Teaching Shree Venkateshwara Hitech Engineering College June 2010 - June 2019 9 Years

Areas of Expertise

Cloud Computing Block Chain Technology cyber security

Institutional Roles

IQAC Secretary Hackathon Club Coordinator

Departmental Roles

R & D Coordinator Hackathon club Coordinator ISEA Club Incharge Placement Coordinator

Journal Publications

  1. Senthilkumar, Rajagopal, Sundhararajan Gokulraj, Selvam Sadesh, and Krishnasamy Narayanan. "PCNN‐BCMO: A Novel Deep Learning Espoused Task Scheduling Approach for Enhancing Energy Efficiency of Cloud Data Centers." Transactions on Emerging Telecommunications Technologies 36, no. 9 (2025): e70223.
  2. Suganthi, M., G. Revathy, S. Gokulraj, and A. Yovan Felix. "DEFENSE-BANK: Sea Horse Optimized Deep Learning Framework for Fraud Detection in the Banking Sector." International Journal of Computational Intelligence Systems (2026). https://doi.org/10.1007/s44196-026-01277-0 
  3. Vadivu, P. Balashanmuga, M. Geetha, S. Pushpa Latha, and Gokulraj Sundhararajan."Stroke disease detection by Xception high-order attention neural network usingmagnetic resonance imaging." Biomedical Signal Processing and Control 119,(2026): https://doi.org/10.1016/j.bspc.2026.109919 
  4. Gokulraj, S., and B. G. Geetha. "Integration of firefly optimization and Pearson service correlation for efficient cloud resource utilization." International Journal of Communication Systems 31, no. 15 (2018): e3771.
  5. Ananthi, P., S. Jabeen Begum, V. Latha Jothi, S. Kayalvili, and S. Gokulraj. "Survey on Forecasting the vulnerability of Covid 19 in Tamil Nadu." In Journal of Physics: Conference Series, vol. 1767, no. 1, p. 012006. IOP Publishing, 2021.
  6. Gokulraj, S., and P. V. V. S. Srinivas. "Hybrid Grey Wolf Optimizer for Efficient Maximum Power Point Tracking to Improve Photovoltaic Efficiency", Journal of machine and computing (2024).

National/International Conferences

  1. Revathy, G., S. Gokulraj, N. Seethalakshmi, and R. Sudha. "Predictive Modeling of Air Pollution using Deep Reinforcement Learning." In 2025 6th International Conference on Smart Electronics and Communication (ICOSEC), pp. 1472-1476. IEEE, 2025. 1109/ICOSEC67334.2025.11459561 [Date of Conference: 24-26 September 2025]
  2. Nithvika, Pothuganti, G. Revathy, C. Nithiya, P. G. Palanimani, and S. Gokulraj."Machine Learning for Comorbidity Prediction: Diabetes and Cardiovascular Disease." In 2025 3rd International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), pp. 336-340. IEEE, 2025. DOI:1109/ICSCDS65426.2025.11167592 [Conference Date: 06-08 August 2025]
  3. Revathy, G., N. Seethalakshmi, V. Balajishanmugam, and S. Gokulraj. "Enhancing Natural Language Processing Models with Reinforcement Learning Techniques." In International Conference on Innovations in Data Analytics, pp. 303-315. Singapore: Springer Nature Singapore, 2024.https://doi.org/10.1007/978-981-96-6303-3_22 [Conference Date: 29 August 2025]
  4. Gokulraj, S., and K. M. Gokila. "Enhanced Blockchain Interoperability Through Hyperledger Fabric and SHA-256." In 2025 8th International Conference on Computing Methodologies and Communication (ICCMC), pp. 153-156. IEEE, 2025. DOI: 1109/ICCMC65190.2025.11140903 [Conference Date: 23-25 July 2025],DOI10.1109/CICT67193.2025.11399110

Patents

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Patent Title Date Reg. No. Status Level Funding
Cloud Security Using Crypto-Shedding for Secure Data Deletion 27/02/2026 202641017020 A Published National Self funded

Professional Membership Body

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Membership Number Membership Body Year Duration
102091409 IEEE 2025 December 2026