Rate My Professor V. Dhilipkumar

His research specializations encompass Deep Learning, Machine Learning, Internet of Things, wireless communication, Software-defined networks, and Expert Systems, with applications in healthcare diagnostics, precision agriculture, computer vision, and vehicular networks. He has published over 60 papers in Science Citation Index and Scopus-indexed journals, including IEEE Transactions, Springer, Elsevier, and Wiley. Key publications include 'Plant Disease Detection Using Deep Convolutional Neural Network' (Applied Sciences, 2022), 'AdaBoost Ensemble Methods Using K-Fold Cross Validation for Survivability with the Early Detection of Heart Disease' (Computational Intelligence and Neuroscience, 2022), 'State of the Art Techniques for Water Quality Monitoring Systems for Fish Ponds Using IoT and Underwater Sensors' (Sensors, 2022), and 'A Combined Deep CNN-LSTM with a Random Forest Approach for Breast Cancer Diagnosis' (Complexity, 2022). Dr. Kumar holds multiple patents, such as 'System for Real-Time Driver Alerts in Low-Visibility Conditions' (202441084958 A, 2024), 'Advanced Method and System for Discrete Signal Transformation Using The P-Transform' (202441039057 A, 2024), and 'Volatile Components Collection Unit with Incineration of Crude Plant Materials' (2021103575, granted 2022). As Principal Investigator, he leads the Department of Biotechnology-funded project 'Model Climate Smart Farm to Demonstrate Precision Agriculture Technologies for Societal Upliftment of Majuli' (Rs. 58.27 Lakhs, 3 years), alongside other government initiatives in precision aquaculture and agriculture totaling Rs. 1.2 Crores utilizing IoT and Deep Learning. He supervises 7 PhD scholars and has guided 4 to completion in Machine Learning for Healthcare, Precision Agriculture, and Computer Vision. Dr. Kumar serves on editorial boards and as a reviewer for journals from Springer, Frontiers, MDPI, and IGI Global.