Currently Teaching (Autumn 2024):

• CS 101 Introduction to Computing (First-year core course for a class of ~170, Theory+Lab)

Undergraduate / Graduate Courses

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

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

• CS 415/572 Modeling and Simulation of Systems (Elective for UG, PG)

  • Taught in Spring 2022, Autumn 2019, 2023

• 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

• Conducted a short-term, certification course on Discrete-Event Systems - Modeling and Simulation for industry professionals.
  Topics included:

  • Fundamentals 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

Current PhD students

• Lekshmi P (Area: Automated Model Generation)

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

B.Tech and M.Tech students advised

• 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)

• Rahul Baviskar (Application for seabed scan visualization)

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

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)

• Kartikey Sharma, Surya Shukla, Aditya Koshti, Harshvardhan, Krishnaveni U WAGS : Mobile App for Stray Welfare (Funded by Seimens CSR)

• 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)