Atish Dixit

Atish Dixit

Research Associate

University of Edinburgh

Biography

Atish Dixit is a Research Associate at the Autonomous Agents Research Group, University of Edinburgh, working with Assoc. Prof. Stefano Albrecht. He is a seasoned researcher specializing in machine learning, mathematical modeling, and simulations. With a strong background in applied mathematics and statistics along with extensive experience in academia and industry, he brings expertise in leveraging AI and mathematical techniques to solve complex problems.

Interests
  • Artificial Intelligence
  • Multi-agent Robotic Systems
  • Deep Reinforcement Learning
  • Computational Physics
Education
  • PhD in Deep Reinforcement Learning, 2023

    Heriot Watt University

  • MTech in Mathematical Modelling, 2017

    University of Pune

  • BEng in Mechanical Engineering, 2012

    University of Pune

Skills

Technical
Programming
Machine Learning and Statistics
Mathematical Modelling and Computing
Hobbies
Study of Vedanta
Painting
Boxing

Experience

 
 
 
 
 
University of Edinburgh
Research Associate
October 2023 – Present Edinburgh, UK
State-of-the-art research in multi-agent reinforcement learning
 
 
 
 
 
Heriot-Watt University
PhD Researcher
November 2018 – March 2023 Edinburgh, UK
Research in deep reinforcemnt learning methods to solve opimal control problems in computational physics
 
 
 
 
 
ExxonMobil
Computational Engineer
March 2017 – September 2018 Texas, US / Bangalore, India
  • Mathematical modelling and back-end development of on-field applications
  • Analysis and process recommendation for on-field drilling process
  • Part of agile software development for various reservoir management tools
 
 
 
 
 
Indian Institute of Technologies, Madras
Research Fellow
May 2016 – July 2016 Madras, India
  • Engaged in research and development within the domain of Graph Theory
  • Formulated a C++ object-oriented design to model graphs and implement the Christofides algorithm
 
 
 
 
 
Tata Technologies
Engineering Analyst
July 2012 – August 2015 Pune, India
  • Design recommendation and analysis of automobile system architectures for HVAC
  • Building reports of design failures/improvements using computational modelling of vehicle aerodynamics
  • Research and development of novel mathematical models to assess human comfort in automobile cabins

Projects

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Reinforcement Learning Sample Efficiency Improvement using Multi-Grid Approach in Computational Physics Problems
A multi-grid approach in deep reinforcement learning to improve sample efficiency in computational physics based applications
Reinforcement Learning Sample Efficiency Improvement using Multi-Grid Approach in Computational Physics Problems
Deep Reinforcement Learning for Reservoir Management
An RL-based approach to learn the optimal well control policies used to improve the production efficiency in reservoir management
Deep Reinforcement Learning for Reservoir Management
Multilevel Deep Reinforcement Learning Framework
A statistical framework to reduce computational complexity of RL applications in computational physics based environments
Multilevel Deep Reinforcement Learning Framework
Mathematical Modelling of Human Bioheat Transfer
A mathematical model of human bio-heat equation and assessment of human cumfort in various environment conditions
Mathematical Modelling of Human Bioheat Transfer

Artwork

Recent Publications

Contact

For any inquiries or collaborations, feel free to reach out to me via the contact form below.

  • adixit@ed.ac.uk
  • 10 Crichton St, Newington, Edinburgh, Scotland EH8 9AB
  • Enter Informatics Forum, register to your entry and take the stairs to Office 2.43 on Floor 2
  • Monday to Friday 09:00 to 17:00
  • Book an appointment