Aditya Teja Vadlamani

PhD Student at The Ohio State University Resume

About Me

Hi! I'm a PhD at The Ohio State University (Go Bucks!), advised by Prof. Srinivasan Parthasarathy. I am interested in all things related to graphs including graph neural networks, graph mining, and network science. Additionally, I do research in conformal prediction and fairness.

In addition to doing research, I am a teaching associate for the Fundamentals of Engineering for Honors program.

Previously, I have received a Bachelor's and Master's degree in Computer Science & Engineering and Mathematics at The Ohio State University.

News

  • 05/2025 | Starting my internship at Google!
  • 04/2025 | Our paper benchmarking conformal prediction for node classification is accepted to TMLR-25.
  • 01/2025 | Our paper on fairness for conformal predictors is accepted to ICLR-25.
  • 09/2023 | Our paper on graph pattern mining paradigms is accepted to HiPC-23.
  • 08/2023 | Began my PhD @ OSU!
  • 05/2023 | Starting my internship at Cruise!

Selected Publications

Conformal Prediction


Conformal Prediction: A Theoretical Note and Benchmarking Transductive Node Classification in Graphs

P. Maneriker*, A. T. Vadlamani*, A. Srinivasan*, Y. He, A. Payani, S. Parthasarathy

Accepted at TMLR 2025. Transactions on Machine Learning Research

Paper Code

A Generic Framework for Conformal Fairness

A. T. Vadlamani*, A. Srinivasan*, P. Maneriker, A. Payani, S. Parthasarathy

ICLR 2025. The Thirteenth International Conference on Learning Representations

Paper Code

Graph Mining


Graph Pattern Mining Paradigms: Consolidation and Renewed Bearing

V. Dias, S. Ferraz, A. Vadlamani, M. Erfanian, C. H. C. Teixeira, D. Meira Jr, S. Parthasarathy

HiPC 2023. IEEE International Conference on High Performance Computing, Data, and Analytics

Paper Code

Education


GIFTS: Exploration Activities for Just-in-Time Learning in a First-Year Engineering Robotics Design-Build Project

A. T. Vadlamani, L. Rumreich, A. H. Phillips

ASEE 2023. 2023 ASEE Annual Conference & Exposition — First-Year Programs Division

Paper

* Equal Contribution

Education

The Ohio State University

  • PhD in Computer Science & Engineering | 08/2023 - Present
  • MS in Computer Science & Engineering | 01/2022 - 05/2023
  • BS in Computer Science & Engineering and Mathematics | 08/2018 - 05/2022

Work/Intern Experience

05/2025 - 08/2025

Google

PhD Software Engineer Intern

05/2023 - 08/2023

Cruise LLC.

PhD Software Engineer Intern

05/2022 - 08/2022

Amazon.com

Software Development Engineer Intern

05/2021 - 08/2021

Amazon.com

Software Development Engineer Intern

05/2019 - 08/2019

CAS

Technology Intern

Teaching Experience

08/2024 - Present

Graduate Teaching Associate

Fundamentals of Engineering for Honors

01/2022 - 05/2023

Graduate Teaching Associate

Fundamentals of Engineering for Honors

08/2019 - 12/2021

Undergraduate Teaching Assistant

Fundamentals of Engineering for Honors

Service

  • Program Committee/(External) Reviewer: NeurIPS, KDD, PAKDD, SDM