APPALABATHULA VENKATESH
Also known as: Dr A VENKATESH, Dr Appalabathula Venkatesh
Anil Neerukonda Institute of Technology and Science, Miracle Educational Society Group of Institutions, Anil Neerukonda Institute of Technology and Sciences, National Institute of Engineering
About
Dr. Appalabathula Venkatesh is currently working as an Assistant Professor in the Department of Electrical and Electronics Engineering at Anil Neerukonda Institute of Technology and Sciences. He worked as a full-time research scholar at The National Institute of Engineering, Mysuru, Karnataka, India, in the Department of Electrical and Electronics Engineering during the year 2019-2023. He received his PhD in the year of 2023. He received his post-graduate degree in control systems engineering in the year 2018 and He received his undergraduate degree in the year 2014 in Electrical and Electronics Engineering.
His publications include seven journal papers and two book chapter and 5 IEEE conference publications. His interested research area includes Fuel Cell technology, Non-linear systems stability analysis, Intelligent control Systems, Heuristic optimization techniques, Renewable energy sources integration to grid, Hybrid Electric and Fuel Cell Vehicles,Hybrid Power Train Technology, AI and ML Techniques in Energy Management Systems.
Employment
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Anil Neerukonda Institute of Technology and Science Assistant Professor2023 - Present
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Miracle Educational Society Group of Institutions Assistant Professor2018 - 2019
Education
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Anil Neerukonda Institute of Technology and Sciences MTech2024 - Present
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National Institute of Engineering PhD2019 - Present
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Anil Neerukonda Institute of Technology and Science M.Tech2016 - 2018
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Lendi Institute of Engineering and Technology B.Tech2010 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (32)
- Next-generation electrified powertrain technologies for sustainable mobility: A systematic review of architectures, intelligent control, energy storage, and grid integration Save
- AI for EV battery health: Statistical meta-analysis and Autonomous Intelligence Pyramid Save
- Modelling, optimisation, and experimental evaluation of predictive maintenance strategies for LiFePO₄ battery health in e-bikes Save
- Hybrid Renewable Integration for Electric Vehicle Charging: A Path Toward Sustainable Mobility Save
- An adaptive super-twisting sliding mode control strategy for energy and torque optimisation in hydrogen fuel cell electric vehicles Save
- Advanced Parametric Estimation Methods for Permanent Magnet BLDC Motor Under Uncertainties: Quantification of EV Dynamics Save
- Design and Implementation of an IoT-Cloud Framework for Patient Health Analytics Save
- Experimental Investigation of Contact Stress and Wear Behaviour of Nylon 66/Al2O3/WS2/TiO2 Hybrid Composite Spur Gears Save
- Optimized control strategies for BLDC motor in sustainable energy systems: enhancing stability and performance through intelligent controllers, filtering techniques and internal model control Save
- Machining Learning Optimization of Friction Stir Welding Parameters for Maximizing Tensile Strength of AA2014 Alloy Using Bayesian Learning and Experimental Validation Save