Rate My Professor Nijaguna G S

Dr. Nijaguna G S is Professor and Head of the Department of Information Science and Engineering at S.E.A. College of Engineering & Technology, Bengaluru, India, where he joined on August 25, 2009. He also serves as Head of the Department of Artificial Intelligence and Machine Learning, established in the academic year 2020-2021, and as Dean of Admissions. The Department of Information Science and Engineering, started in 2007, offers a Bachelor's program affiliated with Visvesvaraya Technological University, Belagavi, with an intake of 60 students and facilities including centralized laboratories equipped with the latest software tools.

Dr. Nijaguna G S holds a B.E., M.Tech in Computer Science and Engineering from B V B College of Engineering & Technology, Hubli, and a Ph.D. from the Department of Computer Science and Engineering, Visvesvaraya Technological University, Belagavi. His research focuses on machine learning, neural networks and artificial intelligence, supervised learning, feature extraction, unsupervised learning, advanced machine learning, machine intelligence, KNN, text mining, and applied artificial intelligence. He has published over 25 papers, including 'Feature Selection using Selective Opposition based Artificial Rabbits Optimization for Arrhythmia Classification on Internet of Medical Things Environment' (2023), 'Gaussian Bare-Bones Butterfly Optimization Algorithm (GBBOA) based Support Vector Machine (SVM) for Cyberattack Detection in Healthcare' (2024), 'Leveraging Deep Autoencoders for Security in Big Data Framework: An Unsupervised Cloud Computing Approach' (2024), 'Reconceiving the Edge Intelligence Based IoT Devices for an effective Classification of ECG Systems' (2025), 'CNN-RF-KNN: hybrid deep learning framework for detection of measles' (2025), 'Optimizing feature selection with random reversal and adaptive Gaussian based Dung beetle optimizer for intrusion detection system in IoT' (2025), 'Interpolated Polynomial based Black Widow Optimization Scheme for Channel Estimation in Underwater Acoustic Communication' (2025), and 'Adaptive Spider Monkey Optimization Algorithm Based Clustering and Routing for Cognitive Radio Sensor Networks' (2025). These works have received 352 citations.