Institution/Organization: University of New Orleans (UNO)
Department: Computer Science
Academic Status: Graduate Student.
What conference theme areas are you interested in:
Artificial Intelligence (AI) and Machine Learning (ML) for science and engineering;
Applications in science, engineering, and industry;
Computation with discrete structures and graphs;
Data assimilation, challenges in data science, math of AI and ML;
High-performance computing, emerging architectures and programming paradigms
Since my undergraduate studies, I’ve been enthusiastic to work with Big Data and aware that I need to learn and use some technologies. High-Performance Computing is one such arena closely related to Big Data. Learning the aspects of HPC,I aspire for becoming a prominent researcher and educator focusing HPC. My research interest includes intersection of data mining, HPC, deep learning, parallel programming and network science. I’m very fortunate to be part of the Big Data and Scalable Computing Research Group which aligns with my research interest completely. Currently, I work on mining and analysis of both static and dynamic big social and information networks by designing parallel algorithms using HPC techniques. I did my Summer 2019 internship in LBNL to enhance my HPC skills in this well-facilitated lab. I’ve been offered multiple internship opportunities from renowned national labs and companies in Summer 2020 and I’m working as a HPC Programmer in one of the companies, building and supplying supercomputers. I’ve been working on HPC since 2015 to present, with an experience of around 6 years. I started research with undergraduate thesis based on Approximation technique of HPC. It’s on Approximate Computing and Relaxed Synchronization in Java for feasibility of programmers. I’ve completed “Concurrent Programming” and obtained above 90% marks. I did several projects using Fork-Join Framework, Java Non-blocking I/O(NIO), Multithreading, Monitors, Semaphores etc. I took “Big Data Analytics and Systems”, did project on Map-Reduce Framework using Hadoop and got 95% marks. I completed “Parallel & Scientific Computing” obtaining above 95% marks and came to know of several techniques that I can apply to my forthcoming research. I design parallel scalable algorithms for large-scale datasets using both OpenMP and MPI. In Summer 2020,during my internship at LBL I work on developing the parallel algorithms for community detection in dynamic networks. The shared-memory version using Python joblib shows speedup of 4-16 for different networks. Another work is on deep learning, for community detection using Graph Convolution Network using PyTorch with CUDA on GPUs. My another work focuses on data Parallelization for Large Sparse Deep Neural Network on GPU using Tensorflow. I am also working on model parallelization for this particular problem. I use graphx from Apache Spark and working on implementing additional graph algorithms for graphx. I’ve worked with Spark. I’ve knowledge of parallel programming with Python and Java besides C++.I’m interested to work further with CUDA and OpenACC in GPU. I’m familiar with MPI performance tools: Gyan & VarList. I use profiling tools TAU, DDT, Totalview, CrayPat as necessary for debugging and analyzing the performance of my parallel algorithms. I use LONI, the largest available resource for HPC in Louisiana State. At LBL, I worked in their supercomputer CORI and familiar with the HPC environments. At times, I work on the server owned by UNO as well. In my Summer 2020 internship I’m working as a HPC Programmer on the deployment and development of supercomputer as per client requirements. I foresee myself as a full-fledged research professional in an organization, preferably a national lab or as a faculty member.
Non-Work Related Activities/Interests:
I have volunteered several big events starting from my undergraduate school, Bangladesh University of Engineering and Technology (BUET) and continuing in my Graduate School, University of New Orleans (UNO) too. This year Iâ€™ve received the prestigious Edgar Burks Award for showing outstanding leadership qualities.As an appreciation for demonstrating outstanding volunteerism,I’ve been nominated for the prestigious Dr. Polly Guthrie Community Service Award in 2019.I actively volunteer at STEM NOLA to assist k-12th grade participants in small groups with STEM during 2019-2020.I also participated in volunteering activities during this COVID-19 Pandemic. I am a Member of the Program Committee in the 4th International Workshop on Big Data Analytic for Cybercrime Investigation and Prevention, co-located with IEEE Big Data 2020 Conference, Atlanta, GA, USA, December 2020. I am also a Reviewer at 14th Women in Machine Learning Workshop (WiML 2019), Vancouver, British Columbia, Canada, December 2019. Currently, I am appointed as Vice-President at Bangladesh Student Association (BSA), Publicity Chair, ACM-W Student Chapter at University of New Orleans. and Social Media Coordinator at MSA-UNO (Muslim Student Association at UNO. Besides volunteering in two large conferences, SC18 and SC19, I actively volunteered in the following events: 1) CSE Festival at BUET, 2011-2015: Managing crowd and directing people participating in open rally program (More than 500 people), Running Coding Contest to smoothly & taking care of needs of the participants, Making arrangements for organizing Poster Session & Robotics Contest, Catering Food and distributing Food 2) 4th International Conference on Networking, Systems and Security (NSysS) at BUET, 2017: Imparting duty on Registration booth and handing over participants their conference belongings, directing participants for Snacks & Lunch, making technical arrangements during Paper Presentation Session 3) International Mother Language Day Celebration at UNO, 2017: decorating the venue, making sitting arrangement, welcoming guests at registration Booth (Around 300 people) 4) Get to Know UNO, 2017: Setting up Stall, greeting guests, arranging photo booth for guests 5) International Night at UNO, 2018: Setting up Stall, greeting guests, Serving Food, Cleaning Up after Event (More than 1000 people) 6) Crawfish Mambo at New Orleans, 2018: Setting Up Stall, helping Guests by serving Food, Cleaning up after event (More than 1000 people) 7) Career Fair at UNO, 2018: Welcoming guests at registration Booth and providing them with goods (Around 400 people)