I am an Assistant Professor at Texas State University (TXST). Before joining TXST, I was an assistant professor at Western Washington University (2017-2019), and a postdoctoral scholar at Lawrence Livermore National Laboratory (2013-2017). Broadly, I am interested in leveraging data science methodologies to address challenging questions that pertain to extreme-scale computing environments. My research spans fault-tolerance, performance modeling, prediction, and reproducibility for large-scale applications. I earned my Ph.D. in Electrical and Computer Engineering from Purdue University, and B.Sc. in Computer Science and Engineering from Bangladesh University of Engineering and Technology. My work enables large-scale simulations, often used in different fields such as bioinformatics, earthquake engineering, material science, to leverage the incredible computational capabilities of modern clusters.

I am the co-founder of Bangladeshi Women in Computer Science and Engineering (BWCSE) -- research and mentoring platform for encouraging female students in Bangladesh to get involved in scholarly activities. Since its inauguration in 2014, this pioneering effort has provided hundreds of female students with information and guidance to apply for national and international opportunities and engaged them in resume-building activities. A list of student scholars who have benefitted from the mentorship and resources provided by BWCSE can be found here.

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 Research opportunities!

[Graduate] Are you interested in machine learning and its applications in automated decision-making for various domains? This project will provide opportunities to work with various technologies including machine learning, optimization, workflow applications, system software, and avail research internships at national laboratories. Please send me your CV if interested to learn more. 

[Undergrad] I strongly encourage undergraduate students to get involved in research and my work has several components where they can meaningfully contribute such as software development and information visualization. Contact me if interested to get involved. 

Summer Internships
May 2021

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

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.

ISPASS'21
March 2021

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

RobustScience Community I
Feb 2021

Excited to be in the RobustScience virtual café talking about scalability, reproducibility, and trustworthy issues of scientific workflows. 

REP Funding
Jan 2021

Received funding from the Research Enhancement Program at TXST for developing deep learning models using code structure to predict performance. 

AMD Research Gift
Jan 2021

My team will develop performance models for the next-gen AMD GPUs and improve their performance profiler rocprof. Thanks AMD for the gift!

AMD Equipment Grant
Nov 2020

AMD has granted $100K worth of on-prem and Cloud HPC resources to TXST for COVID-19 related research. Read here: https://www.amd.com/en/corporate/hpc-fund

Tapia 2020
Sept 2020

Organized a panel at ACM Richard Tapia Celebration of Diversity in Computing Conference on High Performance Computing. Take a look: video presentation and slides: https://drive.google.com/file/d/18daQuN8CCdkrIKgm2cHNrUBKJDggfZyx/view?usp=sharing

AMD Talk
Aug 2020

I gave a talk at AMD on my research in performance analysis on various architectures. 

ECP Hackathon
Aug 2020

Invited talk at the Exascale Computing Project's annual hackathon organized by ORNL and BNL on Dashing (here).

Purdue talk
July 2020

Gave invited talk "Learning to Manage in Grad School for a Sustainable Career in Future" at Purdue University. Here is an uncut version.

R&D 100 Award Winner
Dec 2019

Our research on scalable checkpoint restart won the R&D 100 award.

ProTools
Nov 2019

Our paper titled "Towards A Programmable Analysis and Visualization Framework for Interactive Performance Analytics" accepted in the ProTools workshop at SC'19.

Join TXST
August 2019

I have moved! I have joined Texas State University in San Marcos. It was incredibly hard to leave my colleagues, students, and friends in beautiful Bellingham behind. 

SC19
June 2019

Our paper titled "Performance Optimality or Reproducibility: That is the Question" has been accepted in the performance track at SC'19 (acceptance rate: 72/344 = 20%)! Congratulations to Alex for his first SC paper. 

LBL
June 2019

Visiting faculty scholar at LBNL with my students for the summer.

Internship
April 2019

Received the DOE SRP fellowship for my proposal titled "Proxy application validation for Exascale Co-design".

ISC
Feb 2019

Congratulations to Gian-Carlo for getting his first research poster accepted at ISC'19! 

GHC
Feb 2019

Super excited to be a part of the Computer Systems Engineering (CSE) track at GHC 2019. About time women working in computer systems meet!

BDCAA
Feb 2019

I am organizing the first workshop on how different application domains generate and analyze big data by leveraging HPC. The workshop (BDCAA) will be organized in conjunction with the IEEE COMPSAC'19 in Mulwaukee. 

CRA-W
Nov 2018

Attending the CRA-W Career mentoring workshop in Phonix, AZ.

SRP
Nov 2018

Invited to present my research at the Sustainable Research Pathways Program in Lawrence Berkeley National Laboratory

ICPP vice-chair
Sept 2018

I am the vice-chair of the performance track at ICPP 2019. Make sure to submit your work at the conference.

SC18 poster
Sept 2018

Our poster titled "Automatic Generation of Mixed-Precision Programs" has been accepted at SC'18. This work has been done in collaboration with LLNL.

XSEDE
Sept 2018

Received XSEDE allocation grant for my Parallel Computing course. Happy computing!

Interns
June 2018

Several of my students are interning at research labs such as LLNL, PNNL. Happy summer!

ACM BCB
June 2018

Our paper titled "Low Rank Smoothed Sampling Methods for Identifying Impactful Pair-wise Mutations" has been accepted at ACM Conference on Bioinformatics, Computational Biology, and Health Informatics. Congratulations Nick!

IPDPS 2018
Dec 2017

Our paper titled "PADDLE: Performance Analysis using a Data-driven Learning Environment" has been accepted at IPDPS 2018!

Join WWU
Sept 2017

Joined as an Assistant Professor in CS at WWU. 

IPDPS17
Jan 2017

Our paper on scalable file system for burst buffers titled "MetaKV: A key-value store for metadata management of distributed burst buffers" has been accepted in IPDPS'17 [Acceptance rate ~22%].

ICDCS17
Dec 2016

I am a TPC member of the workshop "Advancing Science via Large Scale Text Analytics over Scientific Articles" that will be hosted as a part of the IEEE International Conference on Distributed Computing Systems (ICDCS) 2017.

SC17 TPC
Oct 2016

I will serve as a TPC member for the performance track in SC'17.

HiPC 2016
Sep 2016

Our paper titled "CMT-bone - A Proxy Application for Compressible Multiphase Turbulent Flows" has been accepted in the 23rd IEEE International Conference on High Performance Computing, Data, and Analytics that will be held in Hyderabad, India during Dec 19-22 2016.

SC16
Aug 2016

My paper with the title "A Machine Learning Framework for Performance Coverage Analysis of Proxy Applications" has been accepted in the International Conference for High Performance Computing, Networking, Storage and Analysis (SC) 2016! 

LEARN@LLNL
May 2016

Started my own project as the PI on applying machine-learning to analyze application performance. The coolest parts of my project are (a) managing an awesome team; (b) working directly with the applications that are important for LLNL. Excited!

IPDPS
May 2016

Attending IPDPS 2016 in Chicago. Our paper on "I/O aware power shifting" will be presented in the "I/O and Storage Track".

LEARN proposal
Mar 2016

Heard back from the LLNL research council and they are interested to move forward with my LEARN proposal. The idea is about developing machine-learning techniques for correlating a plethora of system performance metrics to application performance.

PC
Jan 2016

I have been invited as a Program Committee member at the workshop "Tools for Program Development and Analysis in Computational Science" co-located with ICCS 2016. 

IPDPS 2016
Dec 2015

Our paper titled "I/O Aware Power Shifting" has been accepted in IPDPS 2016.

FTA
Oct 2015

Our paper titled "Fault Tolerance Assistant (FTA): An Exception Handling Approach for MPI Programs" has been accepted in the ExaMPI workshop at SC'15.

Best poster 2015
Aug 2015

Our poster titled "Towards Scientific-Data Compression Using Variable Clustering" received the Best Poster Award in the Computation Directorate's scholar poster session at LLNL.

IJHPCA
Jul 2015

Our paper titled "Exploring the MPI Tool Information Interface: Features and Capabilities" has been accepted in IJHPCA.

JoGC
June 2014


My work titled "Reliable and Efficient Distributed Checkpointing System for Grid Environments" has been accepted in Journal of Grid Computing.

ERC
Mar 2015

My work on proxy application validation is one of the few projects that have been selected to showcase LLNL's research in achieving the laboratory's mission to the External Review Committee (ERC). 

JOWOG
Feb 2015

I presented my work on proxy application validation at the Joint Operations Weapons Operations Group (JOWOG) 34 meeting at Sandia National Laboratory in New Mexico.

SC'14 poster
Nov 2014

Our poster on the feasibility of applying lossy compression on checkpoints has been accepted in SC'14.

Best poster'14
Aug 2014

Our poster titled "Lossy Compression for Checkpointing: Fallible or Feasible?" received the Best Poster Award in the 2014 Computation Directorate's scholar poster symposium.

Best poster'14
April 2014

My poster on proxy application validation secured the 2nd place in Computation's Annual Postdoc Poster Symposium.