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News

💰 AMD Gift

Nov 2025

Thank you to AMD for their generous research gift supporting our work.

Funding

🏅 Track Chair@SC'26

Aug 2025

Honored to serve as Performance Track Chair for SC’26.

Awards

🎤 PASC'25

June 2025

Invited Talk @ ML4SW Workshop (PASC’25, Switzerland) — Great interest in integrating ModelX into HPC+AI/ML libraries!

Research

🔬 Journal accepted

April 2025

Our paper titled "Structure‐Aware Representation Learning for Effective Performance Prediction" has been published in Concurrency and Computation: Practice and Experience.

Paper

WHPC Panelist@SC'24

Nov 2024

Gave an invited talk about my career path in the SDSC booth #3107 (exhibition floor) on Wednesday at 2pm. Thank you WHPC!

ISC'25 Poster

Sept 2024

I am co-chairing the poster session at ISC'24. Please consider submitting your work. If you would like to serve as a reviewer, please contact me.

Others

💰 AMD Gift

Jan 2024

Thank you, AMD for continuing to support research on AI/ML-driven performance analytics!

Grant

🏅 Valero Award

Aug 2023

The faculty senate has awarded me the prestigious and selective Valero Award. Thanks!

Award

SRP-HPC'23

April 23

We have received DOE's SRP-HPC fund again this year, which will allow faculty-led (that's me) research team of 4 students (2 Ph.D.s, 1 M.S. and 1 undergrad) to visit Brookhaven lab in the summer.

Research

🔬NYSDS Workshop

Oct 2022

Congratulations to Elvis, Zaeed, and Arunavo for getting their lightening talks accepted at NYSDS on how they plan to leverage ML for HPC.

Paper

Graduation

May 2022

Congratulations to Tarek Ramadan for successfully defending his M.Sc. thesis. 

Others

AMD Gift

Jan 2022

Thanks to AMD for the 50K gift! This is the second year of our collaboration. Here is to many more!

Award

COMPSAC'21

April 2021

Our paper "College Life is Hard! - Shedding Light on Stress Prediction for Autistic College Students using Data-Driven Analysis" accepted at COMPSAC'21.

Paper

🔬ACM REP

Oct 2025

Our paper titled "Reproducibility for HPC and Distributed Environments: Committees, Nondeterminism, Performance and Workflows" was published at ACM REP and is now available in the ACM Digital Library.

paper

🎤 EuroPar'25

Aug 2025

Honored to give an invited talk at EuroPar's Women in HPC session on bridging key gaps in performance-aware code development.

Papers

🔬ICS'25

May 2025

Our paper "QuantumX: A Few-Shot-Learning Approach for Quantum Performance Modeling in HPC" has been accepted at the International Workshop on Software Frameworks for Integrating Quantum and HPC Ecosystems in conjunction with ICS'25!

Paper

🔬 CCGrid'25

Feb 2025

Our paper, "xAMM: Attention to Details Improves Cross-Platform Prediction Accuracy," (pronounced as "Exam") has been accepted in the ML4Sys/Sys4ML track at CCGrid 2025 (Acceptance rate: 25%)! This research has been funded by LLNL's Fractal project. Kudos, Aakash and the team! 

Paper

SC'24 BoF

Nov 2024

I will be giving a talk about our research on performance and result reproducibility in the Reproducibility BoF on Tuesday from 5:15-6:45pm in B201 @SC'24.

CCDSC'24

Sept 2024

I had a great time at the CCDSC'24 workshop in Lyon, France. Fun fact: You get invited by Jack Dongarra, the 2022 Turing Award winner, to be in one of those. [Turing Award is equivalent to the Nobel Prize in Computer Science]

Research

🏅 Presidential Seminar Award

Sept 2023

I am honored to have been selected as this year's Presidential Seminar Award winner! This award is presented to a TxState faculty for their superlative scholarly and creative activities. 

Award

🔬REWORDS'23

Aug 2023

Our paper titled "Building the I (Interoperability) of FAIR for performance reproducibility of large-scale composable workflows in RECUP" has been accepted at the Reproducible Workflows, Data Management, and Security workshop.

Papers

Invited talk

April 2023

I have been invited to the Rising Stars Panel at UT Austin.

Others

DOE Next-gen Data Management

Sept 2022

Excited! Our collaborative proposal with Brookhaven National Lab and Argonne National Lab has been funded by DOE. 

Award

CHEOPS'22

April 2022

I have been invited to give a talk at the CHEOPS workshop colocated with EuroSys'22. 

Service

HiPCW'21

Dec 2021

My invited paper talks about designing an HPC course focusing on distributed memory parallelism and scalable parallel I/O patterns.

Paper

ISPASS'21

March 2021

Our paper on "comparative Code Structure Analysis using Deep Learning for Performance Prediction" has been accepted at ISPASS'21. 

Paper

🔬MLForSys@NeurIPS

Sept 2025

Our paper titled "Attention-Informed Surrogates for Navigating Power-Performance Trade-offs in HPC" has been accepted at ML For Systems workshop@NeurIPS! 

Paper

🎤 MDC'25

Aug 2025

Invited Talk @ Monterey Data Conference (Monterey, CA) — Exciting discussions on deploying ModelX into HPC production facilities!

Research

🔬HPDC'25

April 2025

📄 Paper Accepted @ HPDC’25 (19% acceptance) — ModelX: A Novel Transfer Learning Approach Across Heterogeneous Datasets (led by Arunavo Dey), considered for Best Paper Award!

Paper

💰 NSF CAREER Award

Jan 2025

I have been awarded the prestigious NSF CAREER award this year! This project will achieve my vision of AI4Performance!

Award

🔬 WORKS'24

Nov 2024

Our paper, titled 'Performance Characterization and Provenance of Distributed Task-based Workflows on HPC Platforms,' has been accepted in the WORKS workshop at SC'24. 

LLNL Intern

May 2024

Congratulations to Aakash for securing a data analytics internship at LLNL for summer'24!

Research

🔬 SC'23 poster

Sept 2023

Our research poster, "Graph-Based Anomaly Detection in Chimbuko: Feasible or Fallible?" has been accepted in the SC'23 research poster session. 

Papers

🏅 COSE Award'23

Aug 2023

I have been awarded the "Presidential Distinction Award", the highest award for creative and scholarly activities in the College of Science and Engineering (COSE) at TxState.

Award

AMD gift

Jan 2023

Thanks AMD for supporting our research through generous gifts!

Grants

DOE ECRP Award

June 2022

I have received the Early Career Research award from the Department of Energy (DOE) for the innovative application of deep learning to accelerate real-time performance analytics!

Award

🔬COMPSAC'22

April 2022

Our paper "libNVCD: An Extendable and User-friendly Multi-GPU Performance Measurement Tool" has been accepted at IEEE COMPSAC'22 (acceptance rate: 23%)!

Paper

🏅 College achievement award

Aug 2021

I won the College of Science and Engineering's "Achievement Award in Scholarly Activities" at TxState. Honored!

Award

🥳 Promotion

Sept 2025

Promoted to Associate Professor! Grateful to my students, collaborators, mentors, and the Almighty.

Awards

🏆 Best Paper Award

July 2025

My Ph.D. student Elvis Fefey’s research on heterogeneous scheduling algorithms just won the Best Paper Award at IEEE Cloud Summit! Proud advisor moment! 🎉

Paper

🧑‍🎓 First Prelim

April 2025

Elvis Fefey passed his prelim exam! This milestone is especially exciting because Elvis is the first Ph.D. student to join Per4ML and also the first from our lab to reach and pass this critical stage. Congratulations, Elvis!

Research

🔬 ICASSP'25

Jan 2025

Congratulations to Banooqa for her paper titled "On the role of prompt construction in enhancing efficacy and efficiency of llm-based tabular data generation", funded by my ECRP. This project was done in collaboration with Kowshik Thopalli@LLNL and Dr. Jayaraman J. Thiagarajan@Apple.

Paper

Research Millionaire

Oct 2024

I am grateful to have received the College of Science and Engineering (CoSE)’s “Research Millionaire” award. This award honors CoSE faculty that have been awarded $1M or more in research grant funding over the past three fiscal years (FY2022-2024). 

Award

🔬 IEEE COMPSAC'24

May 2024

Congratulations to Banooqa, Zaeed, Chase+Ankur, and Arunavo for their respective papers at IEEE COMPSAC in Osaka, Japan! These papers range from addressing gaps that enable the effective use of LLMs, GNNs, and transfer learning for performance analytics.

Paper

🔬ICMLA'23

Sept 2023

Our paper on using graph-based representation learning for performance analytics has been accepted at International Conference on Machine Learning and Applications (ICMLA)! (Acceptance rate ~25%)

Paper

🔬IEEE COMPSAC'23

May 2023

We have two papers accepted at IEEE COMPSAC'23. Congratulations to Arunavo and Chase (acceptance rate: < 27%)! 

Paper

Sloan Foundation

Dec 2022

Our joint proposal with University of Colorado Boulder to the Sloan Foundation has been funded!

Grants

SRP-HPC

June 2022

I have received DOE's SRP-HPC fellowship and will be conducting research over the summer as a visiting scholar at Brookhaven National Laboratory. My students--Chase Phelps, Arunavo Dey, and Alicia Guite (sophomore) will also join me.

Research

SC'22

Feb 2022

I am chairing the Performance measurement, modeling, and analysis track at SC this year. Excited and honored!

Service

Summer Internships

May 2021

Congratulations to Chase Phelps and Tarek Ramadan for securing internships at LLNL and LBNL, respectively!

Others

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