Siva Ram Krishna Vadali

About

Siva Ram Krishna Vadali (M'18) received the B.Tech. degree in Electronics and Communication Engineering from Jawaharlal Nehru Technological University, Hyderabad, in 2001, the Master of Science (MS by research) degree and the Ph.D. degree in Telecommunications Engineering from IIT, Kharagpur in 2009 and 2020, respectively. Since 2010, Dr. Vadali has been working as a Scientist at the Robotics & Automation Division, CSIR-Central Mechanical Engineering Research Institute, Durgapur, India. Prior to this, during 2006-2010, he worked as a Scientist at the National Technical Research Organization, New Delhi. Dr. Vadali's research interests are in - Statistical signal processing, Mathematical statistics, Estimation and detection, Physical layer issues in wireless communication, Hardware architectural design for robotic vehicles, Underwater acoustic signal processing, Algorithm-Architecture hardware codesign, Machine Learning and Artificial Intelligence for real-life applications. Dr. Vadali was a recipient of the Young Engineer award in Electronics and Telecommunications Engg. discipline from Institute of Engineers (India), IEI, Kolkata, in 2013. Dr. Vadali is conferred Fellow, Institute of Engineers (India) (FIE) in 2022.

Employment

• Central Mechanical Engineering Research Institute Scientist-G
  2026 - Present
• Central Mechanical Engineering Research Institute CSIR Scientist-F (Formerly Senior Principal Scientist)
  2020 - 2026
• Central Mechanical Engineering Research Institute CSIR-CMERI Principal Scientist
  2014 - 2020
• Central Mechanical Engineering Research Institute CSIR-CMERI Senior Scientist
  2010 - 2014
• National Technical Research Organization, (NTRO), New Delhi, Government of India Scientist-'B'
  2006 - 2010

Education

• Indian Institute of Technology Kharagpur Ph.D.
  2013 - 2020

Projects & Funding

Projects & funding information is unavailable.

Publications (29)

• Vision-Based Underwater Docking Station Detection for Autonomous Underwater Vehicles
  2026 DOI: 10.1007/978-3-032-08511-5_25
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• Polynomial Based Intelligent Path-following Control Scheme for Nonholonomic Mobile Robots: Theory and Experiments
  International Journal of Control, Automation and Systems 2025 DOI: 10.1007/s12555-023-0678-y
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• An Efficient Human–Animal Footfall Classifier for Desert Perimeter Surveillance Using Seismic Sensors
  IEEE Sensors Letters 2025 DOI: 10.1109/LSENS.2025.3579419
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• Multi-Zone Fence Perimeter Surveillance: A New Edge-FOG Architecture for Efficient Detection and Classification of Intrusion
  Proceedings of the National Academy of Sciences, India Section A: Physical Sciences 2025 DOI: 10.1007/s40010-024-00904-9
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• Parametric function based fuzzy tuned path-following controller for nonholonomic mobile robotic systems: Experimental performance and analysis
  European Journal of Control 2025 DOI: 10.1016/j.ejcon.2024.101169
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• An Efficient Gaussian Mixture Model Classifier for Outdoor Surveillance Using Seismic Signals
  IEEE Transactions on Geoscience and Remote Sensing 2024 DOI: 10.1109/TGRS.2024.3440043
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• Gaussian Based Intelligent Path-Following Control Framework for Wheel Mobile Robot with Ann Adaptability: Simulation and Experimental Validation
  2024 DOI: 10.2139/ssrn.4918350
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• Forecasting of process parameters using machine learning techniques for wire arc additive manufacturing process
  Materials Today: Proceedings 2023 DOI: 10.1016/j.matpr.2022.12.081
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• A new adaptive process control scheme for efficient wire arc additive manufacturing of thin-walled SS308L component
  The International Journal of Advanced Manufacturing Technology 2022 DOI: 10.1007/s00170-022-09912-8
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• A Novel Energy Based Ground Movement Detection Technique using Seismic Signal
  2021 5th International Conference on Information Systems and Computer Networks (ISCON) 2021 DOI: 10.1109/iscon52037.2021.9702344
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