Rate My Professor G Muthukumaran

Hindustan Institute of Technology and Science (Deemed to be University)

5.0

1 review · out of 5

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5.05/4/2026

Always positive and enthusiastic in class.

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About G

Dr. G. Muthukumaran is a Professor in the Department of Electronics and Communication Engineering at Hindustan Institute of Technology and Science, Chennai, where he also heads the Centre for Sensors & Process Control. He brings extensive experience to his role, encompassing 12 years in industry, 9 years of academic service at other institutions, and 11.4 years at HITS, totaling over three decades in engineering and academia.

His research specializations include Robotics and Automation, Programmable Logic Controllers (PLC), Supervisory Control and Data Acquisition (SCADA), Distributed Control Systems (DCS), and Biomedical Instrumentation. As Co-Investigator, he has led several high-value funded projects from agencies like DRDO, AERB-DAE, and BRNS-DAE. These include the Multichannel Adaptive Active Noise Control System for Reduction of Noise in a Region Adjacent to Noisy Equipment (ERIPR-DRDO, ₹60.62 Lakhs), Line Measurement System for Hydrogen Concentration in Steam Environment with Reduced Sound Levels Using Active Noise Control (AERB-DAE, ₹45.36 Lakhs), Suction Chamber and Cup Based Wall Climbing Robot (BRNS-DAE, ₹28.02 Lakhs), Through Wall Passive Eddy Current Sensor for Blade Detection (GTRE-DRDO, ₹9.76 Lakhs), and Automatic Tea Leaf Cutter for Inclined Terrain Harvesting Control System (POABS Tea Pvt. Ltd., ₹12.86 Lakhs), among others. Dr. Muthukumaran holds two granted patents: A Novel Counting Device for Domestic Pressure Cookers suitable for Hearing Impaired (Patent No. 337923, 2020) and An Apparatus Capable of Automatically Reducing the Speed of the Automobile within Predetermined Zones (Patent No. 285076). He has five additional patents filed.

His publication record features key works such as Internet of Things Based Hybrid Cryptography for Process Data Security (Journal of Mathematical and Computational Science, 2020), Modeling and Experimental Analysis of Suction Pressure Generated by Active Suction Chamber Based Wall Climbing Robot (Procedia Computer Science, 2018), Live Demonstration: Wall Climbing Robot Using Fuzzy Based Adaptive Control System (IEEE SENSORS, 2018), Automated Tank Gauging for Hydrocarbon Storage Systems - An Experimental Approach (International Journal of Mechanical and Production Engineering Research and Development, 2018), and Modelling and Realization of Pneumatics Based Wall Climbing Robot for Inspection Applications (International Journal of Engineering and Technology, 2016). These contributions have advanced applications in industrial inspection, process security, and automation technologies.