Courses + Teaching

Courses Taken at UT

• Algorithms (Undergraduate) - Dr. Christine Julien (Spring 2018)
• Mobile Computing (Audit) - Dr. Christine Julien (Fall 2018)
• Theory of Computation (Undergraduate) - Dr. David Zuckerman (Fall 2018)
• Algorithms: Techniques and Theory - Dr. Greg Plaxton (Spring 2019)
• Combinatorics and Graph Theory (Audit) - Dr. David Zuckerman (Fall 2019)
• Senior Design Capstone Project (Undergraduate) - Dr. Sarfraz Khurshid (Fall 2019 - Spring 2020)
• Introduction to Abstract Algebra (Undergraduate) - Dr. John Luecke (Fall 2019)

Courses Taken at Purdue

• Algorithm Design, Analysis, And Implementation - Dr. Alex Psomas (Fall 2020)
• Randomized Algorithms (Audit) - Dr. Kent Quanrud (Fall 2020)
• Approximation Algorithms in Action - Dr. Alex Pothen (Spring 2021)
• Sublinear Algorithms - Dr. Elena Grigorescu (Spring 2021)
• Algorithmic Economics - Dr. Alex Psomas (Spring 2021)
• Machine Learning and Algorithms Seminar - Dr. Paul Valiant (Fall 2021)
• Advanced Topics in Algorithms - Dr. Kent Quanrud (Fall 2021)
• Distributed Systems - Dr. Yongle Zhang (Spring 2022)
• Data Communication and Computer Networks - Dr. Muhammad Shahbaz (Fall 2022)
• Mathematical Toolkit for Theoretical CS - Dr. Hemanta Maji and Dr. Paul Valiant (Spring 2023)
• Artificial Intelligence - Dr. Brian Bullins (Fall 2024)

Teaching at Purdue

• Fall 2021: Head Graduate TA for CS 381 - Introduction to the Analysis of Algorithms (Instructors: Dr. Alexandros Psomas, Dr. Simina Brânzei)
• Fall 2023: Graduate TA for CS 381 - Introduction to Analysis of Algorithms (Instructors: Dr. Alexandros Psomas, Dr. Elena Grigorescu)
• Teaching Evaluations: [Discussion Section]

Teaching at UT

• Spring 2020: Undergraduate TA for EE360C - Algorithms (Instructors: Dr. Pedro Santacruz)
  • Teaching Evaluations:[Section_1][Section_2][Section_3]
• Spring 2019: Undergraduate TA for EE360C - Algorithms (Instructors: Dr. Christine Julien, Dr. Pedro Santacruz)
  • Teaching Evaluations:[Section_1][Section_2]

Class Projects

• On the Ability to Learn Graph Properties using Off-the-Shelf Machine Learning Models Joint work with: Emily Ginsburg, Michael Herrington, Tara Kuruvilla, Raghav Prakash Advised by: Sarfraz Khurshid ECE Senior Design [Fall 2019-Spring 2020].
• A Framework for Online Stable Marriage: Cost Functions Rohan Garg Algorithmic Economics [Spring 2021].
• A Framework for Online Stable Marriage: Constrained Preference Lists Rohan Garg Approximation Algorithms in Action [Spring 2021].
• Maintaining Subgraphs in Fully Distributed Data Streams Rohan Garg Sublinear Algorithms[Spring 2021].