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Dr. Rahul S G

Assistant Professor (Sr. Gd.), Department of Electronics and Communication Engineering, School of Engineering, Chennai.

Qualification: B.E., M.Tech., Ph.D

Bio

Dr. Rahul S G currently serves as Assistant Professor (Senior Grade) in the Department of Electronics and Communication Engineering, Amrita School of Engineering, Amrita Vishwa Vidyapeetham, Chennai.

He acquired distinction at the graduate (B.E. Electronics and Instrumentation Engineering) and completed his post-graduate (M.Tech Control and Automation). He completed his PhD in the area of Control Systems from Vellore Institute of Technology, Vellore in 2019.

Dr. Rahul S G has 6 years of teaching experience and 3.5 years of experience in full-time research. He has published twenty-one research articles and presented more than thirty-five articles in national and international conferences. His areas of research include Control Systems, Instrumentation and IoT.

Publications

Journal Article

Year : 2024

Fidelity-Guided Restoration: Balancing Noise Reduction and Texture Preservation for Enhanced Image Details

Cite this Research Publication : V. Kalpana, Fidelity-Guided Restoration: Balancing Noise Reduction and Texture Preservation for Enhanced Image Details, Communications on Applied Nonlinear Analysis, Science Research Society, 2024, https://doi.org/10.52783/cana.v31.1232

Publisher : Science Research Society

Year : 2024

Detection of kidney stone and estimation of its size using image segmentation techniques

Cite this Research Publication : Jain, S., Rajini, G.K., Rahul, S.G., Velmurugan, S. and Jasmine Pemeena Priyadarsini, M., Detection of kidney stone and estimation of its size using image segmentation techniques. Journal of Advanced Research in Applied Sciences and Engineering Technology, 36(2), pp.91–109, 2024

Year : 2024

E-waste management in the digital era: A sustainable computing approach [Climate Change]

Cite this Research Publication : Rajkumar Ramasamy, Rahul Sanmugam Gopi, Rohini Palanisamy, E-waste management in the digital era: A sustainable computing approach [Climate Change], IEEE Potentials, Institute of Electrical and Electronics Engineers (IEEE), 2024, https://doi.org/10.1109/mpot.2024.3473292

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2024

Advancing conservation: Internet of Things-driven initiatives for marine animal rescue due to climate changes [Climate Change]

Cite this Research Publication : Rahul Sanmugam Gopi, Rajkumar Ramasamy, M. David Honesty Babu, Advancing conservation: Internet of Things-driven initiatives for marine animal rescue due to climate changes [Climate Change], IEEE Potentials, Institute of Electrical and Electronics Engineers (IEEE), 2024, https://doi.org/10.1109/mpot.2024.3434908

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2024

IoT based smart and economic greenhouse monitoring and auto-tuned control system for rural farming

Cite this Research Publication : Rani, M.T., Rahul, S.G., Govardhan, S.D., Velmurugan, D.R.S., Parvin, J.R., Rohni, P. and Rajhumar, R., IoT based smart and economic greenhouse monitoring and auto-tuned control system for rural farming. Journal of Theoretical and Applied Information Technology, 102(8), pp.3625-3636, 2024.

Year : 2024

Improving plant disease detection using super-resolution generative adversarial networks and enhanced dataset diversity

Cite this Research Publication : Pakutharivu, P., Sasirekha, D., Devaraj, V. and Rahul S.G., Improving plant disease detection using super-resolution generative adversarial networks and enhanced dataset diversity. Journal of Advanced Research in Applied Sciences and Engineering Technology, 35(2), pp.144–157, 2024.

Year : 2023

Optimal drive train management of wind turbine using LiDAR-assisted predictive control strategy

Cite this Research Publication : G. Srinivasa Sudharsan, N. Karthikeyan, S. Arockia Edwin Xavier, T. Eswaran, S. G. Rahul, Optimal drive train management of wind turbine using LiDAR-assisted predictive control strategy, Environment, Development and Sustainability, Springer Science and Business Media LLC, 2023, https://doi.org/10.1007/s10668-023-03324-8

Publisher : Springer Science and Business Media LLC

Year : 2023

Active power control in horizontal axis wind turbine considering the fatigue structural load parameter using psuedo adaptive- model predictive control scheme

Cite this Research Publication : G. Srinivasa Sudharsan, Karthikeyan Natarajan, S.G. Rahul, Anuj Kumar, Active power control in horizontal axis wind turbine considering the fatigue structural load parameter using psuedo adaptive- model predictive control scheme, Sustainable Energy Technologies and Assessments, Elsevier BV, 2023, https://doi.org/10.1016/j.seta.2023.103166

Publisher : Elsevier BV

Year : 2023

Design of Covid19 Disease Detection for Risk Identification using Deep Learning Approach

Cite this Research Publication : Rahul Sanmugam Gopi, Lavanya Dhanesh, Mohammad Aljanabi, Tavanam Venkata Rao, Tavanam Venkata Rao, M. Thiruveni, S. Mahalakshmi, Design of Covid19 Disease Detection for Risk Identification using Deep Learning Approach, Journal of Advanced Research in Applied Sciences and Engineering Technology, Akademia Baru Publishing, 2023, https://doi.org/10.37934/araset.32.1.139154

Publisher : Akademia Baru Publishing

Year : 2022

Fuzzy Logic-Based Load Frequency Control in an Island Hybrid Power System Model Using Artificial Bee Colony Optimization

Cite this Research Publication : Neelamsetti Kirn Kumar, Rahul Sanmugam Gopi, Ramya Kuppusamy, Srete Nikolovski, Yuvaraja Teekaraman, Indragandhi Vairavasundaram, Siripireddy Venkateswarulu, Fuzzy Logic-Based Load Frequency Control in an Island Hybrid Power System Model Using Artificial Bee Colony Optimization, Energies, MDPI AG, 2022, https://doi.org/10.3390/en15062199

Publisher : MDPI AG

Year : 2021

Enhanced Model Reference Adaptive Control Scheme for Tracking Control of Magnetic Levitation System

Cite this Research Publication : Rahul Sanmugam Gopi , Soundarya Srinivasan , Kavitha Panneerselvam, Yuvaraja Teekaraman , Ramya Kuppusamy and Shabana Urooj, “Enhanced Model Reference Adaptive Control Scheme for Tracking Control of Magnetic Levitation System”, Energies, MDPI, vol.14, pp.1 -13, 2021

Publisher : Energies

Year : 2019

Solar Powered Multi-Controlled Smart Wheelchair for Disabled: Development and Features

Cite this Research Publication : A. Sharmila, Ankur Saini, Shubham Choudhary, T. Yuvaraja, S. G. Rahul, Solar Powered Multi-Controlled Smart Wheelchair for Disabled: Development and Features, Journal of Computational and Theoretical Nanoscience, American Scientific Publishers, 2019, https://doi.org/10.1166/jctn.2019.8401

Publisher : American Scientific Publishers

Year : 2019

Weld Efficiency Analysis Using Confusion Matrix for Aluminium Metal Matrix Composites Joined by Friction Stir Welding

Cite this Research Publication : S. G Rahul, A Sharmila, Weld Efficiency Analysis Using Confusion Matrix for Aluminium Metal Matrix Composites Joined by Friction Stir Welding, Journal of Computational and Theoretical Nanoscience, American Scientific Publishers, 2019, https://doi.org/10.1166/jctn.2019.7922

Publisher : American Scientific Publishers

Year : 2019

Temperature based spindle speed controller during friction stir welding of aluminium metal matrix composites

Cite this Research Publication : Rahul SG, Sharmila A., Temperature based spindle speed controller during friction stir welding of aluminium metal matrix composites, World Journal of Engineering, Emerald, 2019, https://doi.org/10.1108/wje-11-2018-0402

Publisher : Emerald

Year : 2019

Fundamentals and review on material science, control theory and parametric inter-dependencies during friction stir welding of aluminium metal matrix composites

Cite this Research Publication : Rahul S.G., Sharmila A., Fundamentals and review on material science, control theory and parametric inter-dependencies during friction stir welding of aluminium metal matrix composites, World Journal of Engineering, Emerald, 2019, https://doi.org/10.1108/wje-03-2019-0093

Publisher : Emerald

Year : 2018

Dynamic control of welding current and welding time to investigate ultimate tensile strength of miab welded T11 tubes

Cite this Research Publication : Dhivyasri, G., S. G. Rahul, P. Kavitha, S. Arungalai Vendan, KA Ramesh Kumar, Liang Gao, and Akhil Garg. “Dynamic control of welding current and welding time to investigate ultimate tensile strength of miab welded T11 tubes”, Journal of Manufacturing Processes, 32 (2018) pp 564-581

Publisher : Journal of Manufacturing Processes

Year : 2018

Model reference adaptive controller for enhancing depth of penetration and bead width during Cold Metal Transfer joining process

Cite this Research Publication : Rahul, S. G., G. Dhivyasri, P. Kavitha, S. Arungalai Vendan, KA Ramesh Kumar, Akhil Garg, and Liang Gao, “Model reference adaptive controller for enhancing depth of penetration and bead width during Cold Metal Transfer joining process”, Robotics and Computer-Integrated Manufacturing, 53 (2018), 122-134

Publisher : Robotics and Computer-Integrated Manufacturing

Year : 2018

Genetic algorithm optimization of process parameters for magnetic pulse welded copper–stainless steel tubular joints

Cite this Research Publication : S. G. Rahul and P. Kavitha, “Genetic algorithm optimization of process parameters for magnetic pulse welded copper–stainless steel tubular joints”, Journal of Computational and Theoretical Nanoscience, vol. 15, no. 8, pp. 2438–2443, 2018

Publisher : Journal of Computational and Theoretical Nanoscience

Year : 2018

Adaptive Controller to Minimize Position Disturbances of Tool Pin While Joining Aluminium Metal Matrix Composites by Friction Stir Welding

Cite this Research Publication : Rahul S G, Kavitha P, Adaptive Controller to Minimize Position Disturbances of Tool Pin While Joining Aluminium Metal Matrix Composites by Friction Stir Welding, International Journal of Mechanical Engineering and Technology 9(10), 2018, pp. 399–416.

Publisher : International Journal of Mechanical Engineering and Technology

Year : 2017

Prediction of electricity load using artificial neural network for technology tower block of vit university

Cite this Research Publication : Rahul, S.G., Kavitha, P. and Dhivyasri, G., Prediction of electricity load using artificial neural network for technology tower block of vit university. International Journal of Applied Engineering Research, 12, pp.7717-7723, 2017.

Qualifications
  • PhD in Control Systems, in the School of Electrical Engineering, Vellore Institute of Technology, Vellore, in December 2019.
  • M. Tech- Control and Automation from Vellore Institute of Technology, Vellore in the year 2016 with 9.39 CGPA – First Class with. Distinction
  • B.E. Electronics and Instrumentation from SRM’s Easwari Engineering College, Chennai in the year 2014 with 8.79 CGPA – First Class with Distinction.
Experience
June 2019 to May 2025 Assistant professor, Department of Electronics and Communication Engineering, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Chennai.
November 2017 to May 2019 Assistant Professor (Junior), School of Electrical Engineering, Vellore Institute of Technology, Vellore
July 2016 to November 2017 Research Associate, School of Electrical Engineering, Vellore Institute of Technology, Vellore
Courses Taught
  • Analog Electronics
  • Control Systems
  • Embedded System
  • Sensors and Transducers
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