Assistant Professor | SRM Institute of Science and Technology | India
Dr. Dinesh G has established a strong research profile in the field of computer science with notable expertise spanning cognitive radio networks, artificial intelligence, machine learning, wireless sensor networks, and Internet of Things applications. His contributions include optimization techniques for spectrum sharing, development of secure and efficient network protocols, and innovative applications of AI for healthcare, sustainable energy, agriculture, and environmental monitoring. His work integrates advanced optimization algorithms like Salp Swarm Optimization and Modified Spider Monkey Optimization for enhancing energy efficiency and scheduling in cognitive radio systems. Beyond wireless communication, Dr. Dinesh has expanded research into domains such as reinforcement learning for thermoplasmonic imaging, deep learning for subsurface hydrology, AI-driven coral reef monitoring, and real-time disease detection in agriculture. His multidisciplinary approach reflects a strong alignment with societal needs, focusing on healthcare prediction models, e-vehicle sustainability, smart farming, and secure data transmission frameworks. The publication record spans SCIE and Scopus-indexed journals, covering diverse areas such as cybersecurity, big data analytics, environmental health, and computational intelligence, demonstrating a balance between theoretical models and practical applications. In addition, patents on AI-based prediction, 5G-ORAN synchronization, and collaborative filtering systems highlight his innovative drive and industry relevance. His collaborative works with industries such as Renault Nissan and Mahindra further reinforce the applied impact of his research in automotive and computer vision domains. With contributions to book chapters, international conferences, and training initiatives, Dr. Dinesh has advanced both academic scholarship and industrial applications. His dedication to emerging technologies like blockchain, edge computing, and intelligent systems positions his research within the evolving global landscape of computing and communication. With 87 citations from 75 documents, 21 published works, and an h-index of 6.
Publications:
-
Unveiling hidden water resources: Deep learning and remote sensing for subsurface hydrology for environmental health. (2025). available.
-
Modified spider monkey optimization—An enhanced optimization of spectrum sharing in cognitive radio networks. (2021). Cited by 30.
-
Analysis of classification and clustering techniques for ambient AQI using machine learning algorithms. (2022). Cited by 11.
-
Comparative analysis of diverse classification algorithms of machine learning by using various quality metrics. (2023). Cited by 9.
-
Demand based crop prediction using machine learning algorithm. (2020). Cited by 9.