Biography

Sambuddha Chakrabarti is a researcher focused on Mathematical Optimization, Operations Research (OR), Machine Learning, Automatic Controls Theory, and Electric Power System Network. He holds a PhD (grad: August, 2017) & an MSE (grad: August, 2010) from the Department of Electrical & Computer Engineering of The University of Texas at Austin (specializing in Energy System/Power System) & has experience in research industry (academia and national lab (PNNL & NREL)), academia (teaching), electrical manufacturing industry (Larsen & Toubro (L&T) Limited, Mumbai, India), power system generation planning, & electricity trading (Lower Colorado Rover Authority (LCRA) and Trailstone Energy Commodities LLC, both in Austin, TX) since July, 2006 to present. His core competencies are in Operations Research, Power Systems, Optimization, Electric generation & transmission network planning & operations, Microeconomics & Game Theory, Stochastic Systems, Systems Theory, Automatic Control Systems, Algorithms (Centralized and Distributed), Graph Theory, Deregulated Electricity Market etc. and he specializes at the following tools: Power System Simulation Tool: PowerWorld Simulator, REopt, UPLAN Altos, Aurora-XMP, PSCAD Programming & Scripting Languages: C C++ C# Java Python Julia SQL PL/SQL Matlab HTML LaTeX BASIC Pascal Linux Shell scripting etc. Optimization modeling languages, solvers, and other tools: JuMP Pyomo Xpress-mosel GAMS CVX CVXGEN MOSEK GLPK Knitro Gurobi TensorFlow Keras Scikit-Learn PyTorch git and GitHub etc. When he is not doing science, you will find him playing his Sitar, or, his Bandoneon, or, dancing Argentine Tango, or, traveling and doing photography, or, in the gym, pumping iron and working out.

Interests
  • Mathematical Optimization (Convex & Non-convex Programming) and Operations Research
  • Theory of Probability and Stochastic Processes
  • Distributed Optimization Algorithms and High Performance/Multi-Core Computing
  • Graph Theory
  • Sequential Decision Making Under Uncertainty, Reinforcement Learning, and Artificial Intelligence
  • General Relativity, Quantum Mechanics, and Quantum Computing
  • Automatic Controls Theory
  • Theory of Electric Power Systems Analysis
  • Microeconomics, Game Theory, and Algorithmic Mechanism Design
  • Mathematical Analysis: Real, Complex, Functional, and Convex Analyses
Education
  • PhD in Electrical Engineering (Electric Power Systems), 2017

    The University of Texas at Austin

  • MSE in Electrical Engineering (Electric Power Systems), 2010

    The University of Texas at Austin

  • B.Tech. in Electrical Engineering, 2006

    Motilal Nehru National Institute of Technology (MNNIT), Allahabad, Uttar Pradesh, India

Selected Publications

All Publications

Transmission Investment Coordination using MILP Lagrange Dual Decomposition and Auxiliary Problem Principle
GenX Capacity Expansion Planning Model
A survey of distributed optimization and control algorithms for electric power systems
Toward distributed/decentralized DC optimal power flow implementation in future electric power systems

Selected Software

All Software

  • GenX.jl: Julia package for highly reconfigurable Electricity sector Capacity Expansion Planning (CEP) model
  • LASCOPF_Load_Variation: A C++ Look-Ahead SCOPF (LASCOPF) model for tracking load variation using ADMM-PMP and APP
  • OPF: A C++ Optimal Power Flow model using ADMM-PMP

Contact