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Dr. Gopalakrishnan E. A.

Principal, School of Computing, Bengaluru | Principal, School of Artificial Intelligence, Bengaluru

Qualification: B. Tech., M.Tech, Ph.D
ea_gopalakrishnan@blr.amrita.edu
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Google Scholar Profile
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Research Interest: Artificial Intelligence, Combustion Instabilities, Complex Systems, Data Driven Modelling and Analysis, Nonlinear Dynamics and Stochastic Systems

Bio

Dr. Gopalakrishnan E. A. obtained his Ph. D. from Indian Institute of Technology Madras in the year 2016. Dr. Gopalakrishnan completed his B-Tech in Mechanical Engineering with Honors & Third Rank from University of Calicut. Dr. Gopalakrishnan obtained his M-Tech in Engineering Design from Amrita School of Engineering, Amrita Vishwa Vidyapeetham with University First Rank.

Dr. Gopalakrishnan was awarded with SFB TRR40 Summer Fellowship to attend the summer school held at Institute of Aerodynamics and Fluid Mechanics of the Technische Universität München, Germany during July 20-Aug. 17, 2015. Dr. Gopalakrishnan was invited by the Institute for Advanced Study, Technische Universität München, Germany during June 2013 as a Visiting Scientist.

Dr. Gopalakrishnan has published articles in prestigious journals such as Nature Scientific Reports, Chaos, Physical Review E, Proceedings of Combustion Institute, IEEE Transactions, Expert Systems and Journal of Fluid Mechanics. Dr. Gopalakrishnan is a reviewer of journals such as PLOS ONE, Chaos, Physical Review E, Journal of Fluid Mechanics, Expert Systems etc.

One of the papers published by Dr. Gopalakrishnan titled “Early warning signals for critical transitions in a thermoacoustic system” was cited by the office of the UK Prime Minister in one of the policy documents pertinent to novel strategies for governance by the then Chief Adviser of UK Prime Minister, Mr. Dominic Cummings.

Dr. Gopalakrishnan’s research interests are Complex Systems, Data Driven Modelling & Analysis, Artificial Intelligence, Early Warning Signals for Catastrophic Transitions and Time Series Analysis. He is currently involved in developing robust early warning indicators for rate dependent transitions in various engineering/ natural systems by employing tools from complex system theory and AI.

Dr. Gopalakrishnan worked as an Assistant Professor in the Department of Mechanical Engineering, Amrita School of Engineering from 2007 to 2011. He worked as an Associate Professor in Center for Computational Engineering and Networking from 2016 to 2023. Currently, he is the principal of Amrita School of Computing Bengaluru, School of Artificial Intelligence Bengaluru and he heads the thematic research center “Amrita Center of Artificial Intelligence and Data Analytics”.

Publications
Qualification
  • Ph. D. in Aerospace Engineering (July 2011-July 2016)
    Indian Institute of Technology Madras, Chennai, India
    Thesis Title: Bistability & Noise Induced Transition in a Horizontal Rijke Tube.
    Grade Points: 9.25/10.00
    Supervisor: Prof. R. I. Sujith
  • M. Tech in Engineering Design (Aug. 2005-July 2007)
    Amrita School of Engineering, Amrita University, Coimbatore, India
    Project: Effect of Slenderness Ratio on the Flow Induced Vibration of Rectangular Cylinders.
    Grade Points: 10.00/10.00
    Supervisor: Prof. R. Ajith Kumar
  • B. Tech in Mechanical Engineering (Oct. 1999-Sep. 2003)
    N. S. S. College of Engineering Palakkad, University of Calicut, Kerala, India
    Grade Points: 77.13%
Funded Research Projects
  1. “Development and implementation of a robust pre-processing technique for detection improvement in passive SONAR” – NPOL, DRDO – Completed.
  2. “A complex system approach to develop early warning signals for the detection of Parkinson’s disease” – CSIR Labs – Ongoing
  3. “Use of Artificial Intelligence to predict dynamic transitions in stall-induced aero-elastic problems” – Core Research Grant, DST.
Research Scholars
  1. Jyothish Lal G (2017-2020) – Graduated
  2. Suchithra K S (2017 -) – Submitted the Thesis
  3. Iswarya K V (2018 -) – Ongoing
  4. Akshay S (2020 -) – Ongoing
  5. Deepa Raj ( 2021 -) – Ongoing – Co-Guide
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