People

HPC Forge brings together researchers working across scientific machine learning, physical modeling, and high-performance computing.

Faculty

Aparna Chandramowlishwaran

Professor · Electrical Engineering & Computer Science

PhD in Computational Science and Engineering, Georgia Tech, 2013 BE in Computer Science and Engineering, Anna University, 2007

Current research: Scientific machine learning, neural solvers, foundation models for science, high-performance computing, and performance modeling.

PhD Students

Arthur Feeney

PhD candidate, EECS, 2022–present

MS in Computer Science, University of Massachusetts Amherst, 2021 BS in Computer Science, Trinity University, 2019

Current research: Scalable neural solvers for continuum mechanics and physics-constrained foundation models.

Zitong Li

PhD candidate, EECS, 2022–present

MS in Computer Science, Wake Forest University, 2022 BS in Computer Science, University of Nebraska-Lincoln, 2018

Current research: Sparse kernels for tensor cores and scalable attention.

Shakeel Hassan

MS/PhD candidate, EECS, 2022–present

BTech in Electronics and Communication Engineering, National Institute of Technology Trichy, 2020

Current research: Autoregressive neural operators and reduced-order transformer surrogates for physical systems.

Xianwei Zou

PhD student, EECS, 2024–present

MS in Electrical and Computer Engineering, Carnegie Mellon University, 2024 BE in Telecommunication Engineering, Xidian University, 2021

Current research: Generative models for scientific inverse problems.

Kuei-Hsiang Huang

MS/PhD student, EECS, 2024–present

BS in Mathematics, National Tsing Hua University, 2024

Current research: Latent space Mori-Zwanzig operators for PDEs.

Burhan Tabak

MS/PhD student, EECS, 2025–present

BS in Computer Science, Bilkent University, 2025

Current research: Scalable long-context memory for AI.

Alumni

Srikar Arani

EECS MS (2024)

BS in Computer Engineering, University of California Santa Barbara, 2022

Current work: Space Research Engineer, Johns Hopkins University Applied Physics Laboratory.

Sebastian Barschkis

EECS MS (2023)

BS in Computer Science, Ludwig Maximilian University of Munich, 2018

Current work: Developer, Blender.

Octavi Obiols Sales

MAE PhD (2022)

Current work: Data Scientist, Amazon.

Hengjie Wang

MAE PhD (2021)

Current work: AI Performance Engineer, NVIDIA.

Behnam Pourghassemi

EECS PhD (2021)

Current work: Software Engineer, Oracle.

Shu-Mei Tseng

EECS MS (2021)

Current work: System Software Engineer, Ambarella.

Rohit Zambre

EECS PhD (2020)

Current work: Software Architect, NVIDIA.

Laleh Aghababaie Beni

CS PhD (2019)

Current work: Software Engineer, Google Quantum AI.

Bahareh Mostafazadeh Davani

EECS MS (2016)

Current work: Software Developer, Google.

Ferran Marti

Postdoctoral Scholar (2017–2018)

Current work: Aerodynamicist & Flight Physics Lead, Aurora Flight Sciences.