Rajesh Koduri, PhD

Experience

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  ESB Logistikfabrik, Hochschule Reutlingen

  Apr 2012 - Sept 2012

  Master’s Internship

  Programming of loading and unloading of robots in C++

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  CentraleSupélec

  Jun 2014 - Jan 2018

  Doctoral Research (Marie Curie Research Fellow)

  Title:Robustness of Explicit Model Predictive ControllersAchievements:Developed model predictive control laws by formulating and solving optimization problems for, in general, dynamical and hybrid systems.Developed numerical methods to compute several robustness margins for systems subject to uncertainty and neglected dynamicsModel based design and control of electrical motors Simulation, analysis and validation of closed-loop control systemsGained first-hand experience, knowledge and understanding of path planning and trajectory generation of autonomous systems from collaborations and workshopsPerformed implementation of advanced controllers for real-time systemsWorked on modeling of dynamical systems under probabilistic uncertainty using scenario tree techniquesWorked on Performance comparison between parallel and sequential evaluation of explicit control laws on MATLAB and C++Professional and Scientific Training's:TEMPO spring school on theory and numerics for Nonlinear Model Predictive Control, University of Freiburg, Germany, 2015TEMPO summer school on Numerical Optimization Control and Embedded Optimization, University of Freiburg, Germany, 2015Presentation skills workshop, Oxford University, United Kingdom, 2016Professional development and complementary skills workshop, Imperial College London, United Kingdom, 2016Professional development and complementary skills courses, ABB University, Baden, Switzerland, 2016Tutorial workshop on software development, Slovak University of Technology in Bratislava, Slovakia, 2017 Show less

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  EPFL

  May 2016 - Aug 2016

  Visiting Research Scholar

  Research topic: Evaluation of explicit controllers for different decompositionalgorithms for CPU and GPU

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  Tata Elxsi

  Jul 2018 - now

  Technical Lead and Specialist

  Expert Domain:-Embedded product development-Mathematical Optimization, Model predictive control and Optimal control theory-Conventional controllers, Stability analysis, State estimation and Parameter estimation-Path planning and trajectory generation of Autonomous Vehicles-Artificial Intelligence (Machine Learning, Deep Learning and Natural Language Processing)-Electric Vehicles (Battery management system & control of electric motor)-Vehicle-to-Vehicle and Vehicle-to-Infrastructure communication with Block chain technologyAs Technical Lead for "Energy saving algorithm development for washing machine using Model based design approach"Management tasks:• Outlined work plans, determined resources and wrote timelines as part of project scope• Customer interaction and project management meetings• New technology idea research, brainstorming and conceptualizationTechnical tasks:• Plant model development using Simulink/Simscape Multibody/Simscape Electrical of front-load washing machine• Model predictive control and Field oriented control based control algorithm development for PMSM motor • Design of online model predictive control and explicit model predictive control for PMSM motor• Rapid control prototyping using TI evaluation board for validating the control algorithm • Evaluating energy consumption based on varying control parameters and reference profilesAs R&D Specialist:I lead a research and development team comprising young engineers and masters interns at Tata Elxsi. The core competencies of the R & D team are to leverage powerful technologies such as Artificial Intelligence, blockchain and BCI for automotive applications like vehicle diagnostics, emotion detection and path planning. Developed a novel vehicle profiling system for connected car concept using blockchain technology. Developed a novel navigation system for autonomous vehicles using clustering based explicit model predictive controllers. Show less