Dr. S. Thiruselvan is an Associate Professor in the School of Computer Science and Engineering at RV University, Bengaluru. He brings over a decade of rich experience spanning academia, research, and industry, with a deep commitment to advancing computer science and fostering interdisciplinary innovation.
He earned his Ph.D. in Computer Science from the National Institute of Technology, Tiruchirappalli, where his research focused on cloud service evaluation and selection in federated cloud environments. His broader research interests include Cloud Computing, Data Science, Optimization, and Decision Science. He has published widely in reputed international journals and conferences and actively collaborates on applied and cross-disciplinary research projects.
Dr. Thiruselvan has contributed to several impactful initiatives, including projects in quantum-inspired computing, intelligent systems, urban mobility solutions, and cloud pricing models. He is also a granted patent holder in the domain of smart environmental control systems.
In his academic career, he has held faculty positions at GITAM University, Presidency University, and Vignan’s Foundation for Science, Technology & Research. He also brings industry experience from his role as a Software Engineer at Softeon Inc. His teaching approach emphasizes the integration of theory and practice, mentoring students in areas such as computational thinking, smart technologies, and applied analytics.
Dr. Thiruselvan is committed to driving innovation through interdisciplinary research and collaborative problem-solving that addresses real-world challenges.
Life doesn’t have an end-point, let it be an endless journey of discovery and continuous learning
Bhagawati, R. ., & Subramanian, T. . (2024). A Clustering Approach for Information Retrieval Using A Quantum-Based Computation Technique. International Journal of Intelligent Systems and Applications in Engineering, 12(14s), 488–497. (Scopus)
Bhagawati, R., & Subramanian, T. (2023). An approach of a quantum-inspired document ranking algorithm by using feature selection methodology. International Journal of Information Technology, 15(8), 4041-4053. (Scopus)
Dipali, D., Subramanian, T., Kumaran, G. S., & Koppala, G. (2023). Design and simulation of fuzzy logic-based automatic environmental controller for oyster mushroom cultivation. European Chemical Bulletin, 12(4), 3973-3985.
Dipali, D., Subramanian, T., & Kumaran, G. S. (2023). A smart oyster mushroom cultivation using automatic fuzzy logic controller. Journal of Discrete Mathematical Sciences and Cryptography, 26(3), 601-615. (Scopus, WoS)
Bhagawati, Rupam, and Thiruselvan Subramanian. (2023). ""Quantum-aided feature selection model–A quantum machine learning approach."" Journal of Discrete Mathematical Sciences and Cryptography, 26(3), 641-655. (Scopus, WoS)
Sasi, A., & Subramanian, T. (2023). Forecasting stochastic consumer portability visitation pattern in fair price shops of India. Journal of Information and Optimization Sciences. 44(3), 439–454. (WoS, C in ABDC)
Poornima, S., & Subramanian, T. (2023, March). Effective feature extraction via n-skip gram instruction embedding model using deep neural network for designing anti-malware application. In 2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS) (Vol. 1, pp. 2118-2123). IEEE. (Scopus)
Dipali, D., Subramanian, T., & Kumaran, G. S. (2023). A Novel Approach for an Outdoor Oyster Mushroom Cultivation using a Smart IoT-based Adaptive Neuro Fuzzy Controller. International Journal of Advanced Computer Science and Applications, 14(5). (Scopus, WoS)
Sasi, M. A., Subramanian, T., & Ravichandran, S. K. (2023). QUEUEING SYSTEM IN FAIR PRICE SHOP OF KERALA TO MITIGATE WAITING TIME AND OPTIMIZATION OF SERVERS. Indian Journal of Computer Science and Engineering, 14(1), 214-224.
Sasi, A., & Subramanian, T. (2022). Comparative analysis of ARIMA and double exponential smoothing for forecasting rice sales in fair price shop. Journal of Statistics and management Systems, 25(7), 1601-1619. (WoS, C in ABDC)
Poornima, S., & Subramanian, T. (2022). Evolution of Deep Quantum Learning Models Based on Comprehensive Survey on Effective Malware Identification and Analysis. Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network, 83-105.
Subramanian, T., Dhyani, A., Kumar, A., & Gill, S. S. (Eds.). (2022). Artificial Intelligence, machine learning and blockchain in quantum satellite, drone and network. CRC Press.
Renukaradhya, S., Bhagawati, R., & Subramanian, T. (2022). A Brief Study on Quantum Walks and Quantum Mechanics. In Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network (pp. 15-34). CRC Press.
Bhagawati, R., Subramanian, T., & Pitchai, A. (2022). A Keen Study on Quantum Information Systems. In Artificial Intelligence, Machine Learning and Blockchain in Quantum Satellite, Drone and Network (pp. 35-45). CRC Press.
Sasi, A., Subramanian, T., & Kumar Ravichandran, S. (2022, January). Systematic literature review on industry revolution 4.0 to enhance supply chain operation performance. In Proceedings of the 2022 5th International Conference on Computers in Management and Business (pp. 173-179). (Scopus)
Subramanian, T., & Savarimuthu, N. (2016). Cloud service evaluation and selection using fuzzy hybrid MCDM approach in marketplace. International Journal of Fuzzy System Applications (IJFSA), 5(2), 118-153. (Scopus)
Subramanian, T., & Savarimuthu, N. (2016). Application based brokering algorithm for optimal resource provisioning in multiple heterogeneous clouds. Vietnam Journal of Computer Science, 3, 57-70.
Subramanian, T., & Savarimuthu, N. (2015). A study on optimized resource provisioning in federated cloud. arXiv preprint arXiv:1503.03579.
Subramanian, T., & Savarimuthu, N. (2014, November). EFfective Tariff Selection On Cloud Services: A consumer perspective. In 2014 International Conference on Contemporary Computing and Informatics (IC3I) (pp. 326-330). IEEE. (Scopus, WoS)
Successfully guided 3 Ph.D. scholars at Presidency University, Bengaluru, in areas including optimization, intelligent systems, and data-driven decision science.
An Automatic Fuzzy Logic Controller System for Temperature and Humidity Maintenance in an Outdoor Farm – Patent No: 550952 (2024)
