The Team

Assistant Professor and ICDS Co-Hire,
Department of Information Science and Technology,
Institute of Computational and Data Sciences,
Pennsylvania State University.
&
Faculty Joint Appointment,
Mathematics and Computer Science Division,
Argonne National Laboratory.
Email: rmaulik(at)psu.edu

Romit Maulik is an Assistant Professor in the College of Information Sciences and Technology at Pennsylvania State University (Penn State). He is also a co-hire in the Institute for Computational and Data Sciences at Penn State and a Joint Appointment Faculty at Argonne National Laboratory. He obtained his PhD in Mechanical and Aerospace Engineering at Oklahoma State University (in 2019) and was the Margaret Butler Postdoctoral Fellow (from 2019-2021) before becoming an Assistant Computational Scientist at Argonne National Laboratory (from 2021-2023). His group studies high-performance multifidelity scientific machine learning algorithm development with applications to various multiphysical nonlinear dynamical systems such as those that arise in fluid dynamics, geophysical modeling, nuclear fusion, and beyond. He is an Early Career Awardee of the Army Research Office.

Current Members

Our team is composed of postdoctoral fellows, graduate students, and visiting students across Penn State and Argonne National Lab with opportunities to travel between them.

1. Dr. Shivam Barwey (PhD, University of Michigan, Ann Arbor): Graph-based learning of multiscale systems, federated machine learning, high-performance computing, AETS Named Postdoctoral Fellow at Argonne National Laboratory.
2. Dr. James Henry (PhD, Illinois Institute of Technology, Chicago): Data-driven surrogate modeling for accelerated fluidic oscillator design, Postdoctoral Scholar at Penn State.
3. Dr. Xuyang Li (PhD, Michigan State University): Reinforcement learning for data-driven control of dynamical systems, Postdoctoral Scholar at Penn State.
4. Dibyajyoti Chakraborty (MTech, IIT Bombay): Deep learning and deep generative modeling for forecasting and data assimilation of high-dimensional and chaotic dynamical systems, PhD Student at Penn State.
5. Haiwen Guan (BS, Penn State): Neural emulators and super-resolution algorithms for geophysical systems using operator learning, PhD Student at Penn State & Argonne National Laboratory.
6. Hojin Kim (MS, Seoul National University): Differentiable physics-based modeling of dynamical systems, PhD Student at Penn State.
7. Ashwin Suriya (BTech, Indian Institute of Technology, Kanpur): Multiresolution modal analyses for fluid dynamics data, PhD Student at Penn State.

Former/Visiting Members

1. Dr. Matt Poska: Explainable forecasting algorithms for complex dynamical systems, PhD Student at Penn State & Argonne National Laboratory (co-advised with Dr. Sharon Huang).
2. Zachariah Malik (BS, UT Dallas): Deep learning for stochastic dynamical systems, PhD student at UC Boulder (Visiting researcher at Penn State).
3. Jonah Botvinick Greenhouse (BA, Amherst College): Deep learning for stochastic dynamical systems, PhD Student at Cornell University (Visiting researcher at Penn State).
4. Vinamr Jain (BTech IIT-Delhi), Quantum reduced-order models for dynamical systems, Undergraduate Intern at Penn State.
5. Aaryan Bavishi (BS, Penn State): Robust reduced-order models with autoencoders, Undergraduate Intern at Penn State.
6. Dr. Deepinder Jot Singh Aulakh: In-situ data-driven surrogate and turbulence modeling with PythonFOAM, ALCF Research Aide, Argonne National Laboratory, 2023.
7. Abhinab Bhattacharjee: Accelerating data and model fusion using deep learning, MCS Givens Associateship, Argonne National Laboratory, 2023.
8. Ashish Nair: Neural ordinary differential equations for advection domainted problems, ALCF Research Aide with Shivam Barwey, Argonne National Laboratory, 2023.
9. Trent Gerew: Inverse classification for budget-constrained data-assimilation, U.S. Department of Energy, Science Undergraduate Laboratory Intern (SULI), Argonne National Laboratory, 2023
10. Gurpreet Singh Hora: Adaptive training of deep learning surrogates in OpenFOAM (with Laurent White at AMD Research), 2022.
11. Cyril Le Doux: Deep learning emulators for geophysical modeling, 2022 DOE Summer Undergraduate Intern (SULI), Argonne National Laboratory.
12. Sen Lin Anomaly detection in dynamical systems using Bayesian online changepoint detection, Givens Associateship, 2022, Argonne National Laboratory.
13. Sahil Bhola: Multifidelity reinforcement learning for computational fluid dynamics, Research Aide, 2021, Argonne National Laboratory.
14. Alec Linot: Deep learning surrogate models on inertial manifolds, Givens Associateship, 2021, Argonne National Laboratory.
15. Janah Richardson (Walter Payton College Prep High School): Causal Relationship Between Environmental Factors and Social Mobility, Afro-Academic, Cultural, Technological and Scientific Olympics (ACT-SO) High School Research Program, 2020-2021.
16. Suraj Pawar: Scalable reinforcement learning for computational fluid dynamics, ALCF Summer Internship Project, 2020, Argonne National Laboratory.
17. Dominic Skinner: Deep learning reduced-order models for computational physics applications, National Science Foundation, Mathematical Sciences Graduate Internship, Summer 2020, Argonne National Laboratory.

ISCL Honors and Awards

1. Romit Maulik - Margaret Butler Postdoctoral Fellowship (2019), Argonne Impact Award (2022, 2023), ARO Early Career Program Award (2024), Oklahoma State University Outstanding Graduate Student Award (College of Engineering Architecture and Technology).
2. Shivam Barwey - AETS Postdoctoral Fellowship (2023).
3. Xuyang Li - Best Short Talk award, Penn State Postdoctoral Symposium (2024).
4. Dibyajyoti - APS DFD Travel Award (2023), WCCM Best Paper Award Finalist (2024), UQ-MLIP Travel Award (2024), UQ-MLIP Best Poster Award (2024), CASML Best Paper (2024), CASML Best Poster (2024), SIAM Student Travel Award (2025).
5. Haiwen - UQ-MLIP Travel Award (2023), NSF Workshop on Data-driven Modeling and Prediction of Rare and Extreme Events Travel Award (2024).
6. Hojin - Ruth Young Boucke Graduate Fellowship (2024), Robert W. Graham Endowed Graduate Fellowship (2024), SIAM Student Travel Award (2025), ATPESC 2025 Attendee.
7. Zachariah - NSF MSGI Fellowship (2023).
8. Jonah - NSF MSGI Fellowship (2022).
9. Dominic - NSF MSGI Fellowship (2020).
10. Janah - ACT-SO Gold medal winner in Computer Science category - Illinois.

The group over the years