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Teaching

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  • [Summer'22] Data Science Pathways (Online certification program)

  • [Sprg'21-'24] HPC@Scale

  • [Fall'21, Fall'23] Linear Data Structures (CSII)

  • [Sprg'20, Fall'20, Fall'21, Fall'22] Compiler Construction

  • [Fall'18] Scientific Data Visualization (syllabus) (Co-designed and co-taught)

  • [Fall'18, Sprg'19] Grad Parallel Computing (syllabus)

  • [Sprg'18, Win'19] Computer Networks

  • [Win'18, Sprg'19] Grad/Ugrad Parallel Computing

  • [Fall'17,'18, Sprg'18, Win'19] Advanced Data Structures

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Organizer/Committee Member

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  • Founder, Bangladeshi Women in Computer Science and Engineering (BWCSE), 2014-Present

  • Co-chair, Applications track@HiPC'24

  • Co-Chair, Awards@SC'23

  • Co-Chair, Performance track@Cluster'23

  • Chair, Performance track@SC'22

  • TPC, EuroMPI'20, SC'20, ICPP'20, ISC'20, WHPC'20

  • Organizer, "May the HPC Force be with You", Richard Tapia Conference of Diversity in Computation, 2020

  • Organizer, IEEE International Workshop on Big Data Computation, Analysis, and Applications, 2019-20

  • Vice-chair, Performance track, ICPP'19

  • TPC, Performance track at SC'17, '18, '20, '21

  • TPC, System Software Track, IPDPS'21, '22, '23

  • TPC, ISC'21-Present

  • TPC, HPDC'22, '23

  • TPC, Computer Systems Engineering track, GHC'19

  • TPC, Performance track and Research Poster track, SC'19-Present

  • TPC, Performance track, ICPP'18-Present

  • TPC, Performance track at SC'18, HPC for Undergrad at SC'18

  • TPC, Workshop at ICDCS'17

  • TPC, Resilience BoF at SC'15

  • TPC, Performance track at SBAC-PAD'13 and '14.

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Reviewer

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Journals/Conferences:​

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  • IEEE Transactions on Parallel and Distributed Systems (TPDS), 2018, 2020-Present

  • Parallel Computing (ParCo), 2019-Present

  • Journal of Parallel Computing, 2018-Present

  • Concurrency and Computation: Practice and Experience, 2016 - 2017

  • Journal of Grid Computing, 2012 - 2017

  • International Conference on Parallel Computing (ParCo), 2016-Present

  • International Parallel and Distributed Processing Symposium (IPDPS), 2012

  • Symposium on Principles and Practice of Parallel Programming (PPoPP), 2011

  • Dependable Systems and Networks (DSN), 2010

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Proposal Review Panel:​

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  • DOE ECRP

  • NSF Cybertraining/OAC

  • DOE SciDAC

  • DOE SBIR

  • NSF CISE/CSSI

  • NSF HBCU-UP

  • NSF CISE/CCF

  • NSF CISE/OAC

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Invited Talks, Workshops, Panels

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  • SIAM Task Force on the Future of Computational Science, Washington D.C., 2023

  • Building Your Research Brand, Rising Stars Panel at UT Austin, 2023

  • How to be a great mentor, Exascale Computing Project (ECP), 2022

  • Scalability challenges and opportunities for I/O bound applications, CEOPS workshop at EuroSys, 2022

  • Exascale Computing Project (ECP): Enabling Next-Generation of Hardware-Software Co-design
    using Data Science,     Lawrence Livermore National Laboratory, 2022

  • Sustainable Horizons Institute, 2022

  • Characterizing Performance of Workflow Applications, Brookhaven National Laboratory, 2021

  • Center of Excellence: Performance Characterization of Deep Learning Workloads, AMD, Austin, TX, 2021

  • HPC Enables Digitalization Panel, Digital 360 Summit, San Marcos, TX

  • Careers in HPC Panel: Taking the Leap: Changing Careers, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), 2020

  • May the HPC Force be With You!, Organized a panel introducing undergraduate students from underserved and underrepresented communities to HPC, Richard Tapia Celebration of Diversity in Computing, 2020

  • Data-Driven Performance Modeling for HPC Co-design, Invited scholar's talk, AMD, 2020

  • Dashing: An Interpretable Machine Learning Toolkit for Performance Analysis and Visualization, Exascale Computing Project Hackathon at Oak Ridge National Laboratory and Brookhaven National Lab, 2020

  • Scalable I/O Performance for Scientific Applications--Challenges and Potentials, NIMBioS Workshop on Scientific Collaboration Enabled by HPC, Knoxville, TN, 2019

  • Understanding the Performance Portability Challenges and Opportunities using Machine Learning, Lawrence Berkeley National Laboratory, Berkeley, CA, 2019

  • HPC for Undergraduates, International Conference for High Performance Computing, Networking, Storage, and Analysis (SC), Dallas, TX, 2018

  • Machine Learning Framework for Performance Coverage Analysis of Proxy Application, ACM PASC@Basel, Switzerland, 2018

  • JOWOG-34, Proxy Application Validation using Machine Learning (Veritas), Sandia National Laboratory, Albuquerque, NM, 2015

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Member

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  • TPDS Board member, 2020-Present

  • ACM

  • IEEE

  • Founder, BWCSE

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