Currently Teaching (Jan-May 2026):

• CS 572 Modeling and Simulation of Systems (Elective for UG, PG)

• MT 605 Modeling and Simulation of Systems for Marine Applications (Elective for M.Tech in Marine Science and Eng)

Undergraduate / Graduate Courses

• CS 101 Introduction to Computing (First-year core course for a class of ~160, Theory+Lab)

  • Taught in Autumn 2024 and 2025

• CS 212 Computer Networks (UG Core Course, Theory+Lab)

  • Taught in Spring semester of 2023, 2021, 2020, 2019 and Autumn 2022

• CS 572 Modeling and Simulation of Systems (Elective for UG, PG)

  • Taught in Spring 2022 (numbered CS415), Autumn 2019, 2023, Spring 2025

• CS 210 Digital Systems Design (UG core course, Theory+Lab)

  • Taught in Autumn 2021, 2020

• CS 305 Computer Architecture + CS 341 Lab (UG core course, Co-taught with Dr. Sharad Sinha)

  • Taught in Autumn 2019

Industry Courses

• Customized, short-term, hands-on training program for an industry data science team on Problem solving using Discrete-Event Simulation, Sept 2022
  

  • Basics of modeling and simulation, how Discrete-Event simulation works, overview of simulation approaches and tools

  • Hands-on introduction to Python's SimPy simulation library with examples

  • Input Modeling and Random Variate Generation

  • Simulation-based Performance Estimation

  • Simulation-based Optimization

  • End-to-end examples in Inventory, Pricing etc

Students Advised

Current PhD students

• Lekshmi P (Area: Automated Model Generation)

• Tushar Lone (Area: Simulation based design optimization for Supply Chain Networks)

M.Tech

• 2025-26 Nomaan Akhtar (Parallelizing simulation)

• 2022-23 Soumya Ranjan (Cloud-hosted IoT end-point simulation)

B.Tech

• Arnav Sadhwani (LLM based automation of model generation)

• Ananya Bajaj (High-dimensional Random Variate Generation for simulation-based digital twins)

• Aditya Koshti (Graph Neural Networks for Graph Regression Problems)

• Kartikey Sharma and Surya Shukla (Android App for Stray animal welfare - WAGS) (Funded by Seimens CSR)

• Rahul Baviskar (Seabed scan data visualization)

Selected Summer Projects and Internships offered in the past

• Anish Natekar and Akhil Kushe Multi-core parallel Performance Evaluation of the Sitar framework (Funded by NSM)

• Adwait Agashe, Aditya Jain, Sanjay Mareddi, Rishabh Tripathi Reinforcement Learning agent for playing board games (IIT Goa Summer Internship)

• Pranav Balijapelly, Venkata K, Noel P, Tanuja Naga Web Portal for Student Networking (IIT Goa Summer Internship)

• Divyansh Pandey SupplyNetPy library validation and GUI web-portal development (IIT Goa Summer Internship)