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If you're in a hurry (TL;DR):

Research Interests: Learning from Demonstrations, Inverse Reinforcement Learning, Reinforcement Learning, Algorithmic Fairness, Causal Inference, Bayesian optimization, Gaussian process, Deep Neural Networks.

Previously: 8+ years of industry experience - 6.5 years in the Process Automation section at ABB Private Limited. Served as the Section Manager of a product specialists team overseeing customers in South-East Asia, Australia and New Zealand. Conducted training sessions globally as an Expert Trainer for ABB's control systems. Conducted ~2 years of AI research at the SMU-Fujitsu UNiCEN lab at Singapore Management University (SMU) as a Research Engineer.

Otherwise:

General Information

Full Name Sreejith Balakrishnan
Languages English, Malayalam, Tamil, Hindi

Publications

  • 2022
    • Sreejith Balakrishnan, Jianxin Bi, and Harold Soh. SCALES - From Fairness Principles to Constrained Decision-Making. Artificial Intelligence, Ethics, and Society (AIES) 2022.
  • 2020
    • Sreejith Balakrishnan, Quoc Phong Nguyen, Bryan Kian Hsiang Low, and Harold Soh. Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization. Neural Information Processing Systems (NeurIPS) 2020.

Awards

  • 2021
    • Research Achievement Award,
    • Awarded for the NeurIPS 2020 accepted paper.
  • 2019
    • Honor List of Student Tutors,
    • Awarded for outstanding tutoring for the module "AI Decision Making and Planning"
  • 2016
    • NUS Research Scholarship,
    • Awarded to pursue Ph.D. program in School of Computing at National University of Singapore.

Education

  • 2016-Present
    PhD
    National University of Singapore, Singapore
    • Completed Thesis Proposal presentation.
    • Research interests
      • Inverse Reinforcement Learning and Value Alignment for robotics.
      • Fairness in algorithmic decision making.
      • Causal inference.
    • Relevant coursework
      • Uncertainty Modelling in AI
      • Advanced Topics in Artificial Intelligence
  • 2010-2013
    Master of Science (MSc)
    National University of Singapore, Singapore
    • M.Sc in Electrical Engineering with a specialization in Computer Engineering
    • 4.6 GPA
    • Relevant coursework
      • Real-time Systems, Linear Systems, Pattern Recognition, Evolutionary Computing
  • 2004-2008
    Bachelor of Engineering (BEng)
    Nanyang Technological University, Singapore
    • B.Eng in Electrical and Electronics Engineering with a Minor in Computing
    • First Class Honors
    • Relevant coursework
      • Robotics & Automation, Control Engineering Design, Modelling & control, Computer Vision

Experience

  • 2020-Present
    Research Assistant
    CLeAR Lab, National University of Singapore, Singapore
    • Assist with research projects under the CLeAR Lab in NUS.
    • Manage the server environments required for the various projects.
    • Assist with procurement of hardware and software components necessary for upcoming projects.
  • 2017
    Teaching Assistant, AI Decision-making and Planning
    School of Computing, National University of Singapore, Singapore
    • Conducted tutorials for the undergraduate (4th year) module
    • Awarded Honor List of Student Tutors
    • Received a high rating of 4.4 out of 5 based on student feedback.
  • 2015-2016
    Research Engineer and Project Lead
    UNiCEN, Singapore Management University
    • Technical lead for a Singapore urban planning project undertaken by Fujitsu-SMU Urban Computing & Engineering Corporate Lab (UNiCEN).
    • Modeled the passenger flow at various taxi stands in Singapore to address the mismatch in taxi supply and demand.
  • 2008-2015
    Section Manager, Regional After-sales Support
    ABB Private Limited, Singapore
    • Spearheaded a team of 5 engineers to provide engineering solutions to customers in Asia, Australia, and New Zealand.
  • 2010-2015
    Expert Trainer
    ABB Private Limited, Singapore
    • Invited to conduct advanced-level product training for engineers and customers in various countries around the globe.

Projects

  • 2019
    • Decentralized Task Allocation for Multi-robot Systems, National University of Singapore
    • Designed a task allocation algorithm for a decentralized multi-robot environment with limited communication.
  • 2008
    • Control System for Humanoid Robot, Final Year Project, Nanyang Technological University, Singapore
    • Interfaced a humanoid robot with sensors using various communication protocols like Bluetooth and I2C.
  • 2007
    • Humanoid Robot Exhibition, Discovery Center, Singapore
    • Led a team of 12 students to create a a public exhibition where the movements of 4 humanoid robots were synchronized against background music.

Technical Skills

  • Machine Learning
    • Inverse Reinforcement Learning
    • Algorithmic Decision-making
    • Reinforcement Learning
    • Bayesian optimization
    • Gaussian process regression
    • Deep Learning
    • Active Learning
    • Evolutionary algorithms
  • Programming Languages
    • Python for machine learning (Highly Proficient)
    • R for data analytics and visualisation (Proficient)
    • Java for desktop development (Working Knowledge)
    • Javascript for web development (Working Knowledge)
    • C/C++/C# for robotics (Working Knowledge)