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SUMMARY:Save the Date: AI in HPC Panel
DESCRIPTION:Topic: VA-WHPC Panel: AI in HPC \nThank you for those who joined us for our March 2026 speaker panel where three researchers shared their experiences and thoughts on artificial intelligence (AI) in High-Performance Computing (HPC). Each speaker gave a 10-minute presentation on how AI is used in HPC environments\, their experiences and views on AI in research computing\, how HPC infrastructure can support AI workloads\, and the practical lessons\, opportunities\, and challenges they have encountered. After the presentation\, there was time for questions and discussion.  \n			\n						Watch the Recording\n					 \nPresenters: \n• Dr. Vijeta Sharma is a High Performance Computing and Artificial Intelligence (HPC-AI) scientist with over 15+ years of R&D experience in both industry and academia. She holds a master’s degree in Data Science and a PhD in the convergence of Artificial Intelligence and High-Performance Computing (HPC). She is actively engaged in Research\, Teaching\, and the mentorship. She is deeply involved in international collaborations for research\, workshops\, conferences\, and knowledge dissemination. Her core research interests span Artificial Intelligence\, Computer Vision (image & video processing)\, Human Action Recognition\, Deep Learning\, Large Vision Models (LVM)\, High-Performance Computing (HPC)\, Embodied AI\, and Robotics. Specifically\, in AI on HPC\, her passion lies in AI model parallelisation across accelerators such as CPU\, GPU\, and TPU – a central theme of her research work. She has delivered 40+ invited talks on international platforms\, including as a keynote speaker. She is an active member of Women in HPC (WHPC). Beyond technology\, she is also recognised as a woman leader and recipient of the Global Women Leadership 2022 award\, honouring her inspiring contributions to women in science and leadership. \n\nDr. Bruce Rushing is a Research Scientist within the Data Analytics Center (DAC). The DAC provides machine learning (ML) and artificial intelligence (AI) analytics to UVA researchers as a core part of its mission. Dr. Rushing has expertise in ML and AI\, with an emphasis on generative probabilistic modeling\, deep learning with neural networks\, and large language models (LLMs). His previous work at the DAC includes probabilistic models for glaucoma patient trajectories\, next-image segmentation and generation with time-series MRI data\, and LLM fine-tuning for modeling semantic shifts in scientific descriptions of American wildlife. Previously\, he conducted foundational research on ML\, statistics\, LLMs\, and causal discovery as a Postdoc at Purdue University’s Virtual Reality and Artificial Intelligence lab. He is a trained computational philosopher and statistician\, and he has a PhD in Philosophy and MA in Mathematical Behavioral Sciences from the University of California\, Irvine\, where his dissertation focused on the decision-theoretic foundations for Bayesian and causal inference. His research interests focus on the foundations of statistics and causal modeling and scientific theorizing that emphasize building algorithms for reliable induction.• Dr. Jie Ren is an Assistant Professor of Computer Science at William & Mary. She received her Ph.D. from the University of California\, Merced\, from PASA Lab and received her B.S. degree from the Beijing Institute of Technology. Her research interests span operating systems\, computer architecture\, and their intersection with machine learning and high-performance computing. Her research aims to improve the performance and resource efficiency of heterogeneous computing systems while making it easier for users to deploy and manage their applications. Her publications appear in top conferences such as SC\, PPoPP\, HPCA\, FAST\, and NeurIPS. 
URL:https://va-whpc.org/event/save-the-date-ai-in-hpc-panel/
LOCATION:Virtual Event
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DTSTART;TZID=America/New_York:20260422T130000
DTEND;TZID=America/New_York:20260422T140000
DTSTAMP:20260909T042910
CREATED:20260317T162834Z
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SUMMARY:Save the Date: VA-WHPC Student Lightning Talks V
DESCRIPTION:On April 22\, 2026\, VA-WHPC hosted 8 students as they gave 3-minute lightning talks on their research to members of the HPC community from across Virginia. Each presenter had 3 minutes and 1-2 slides to showcase their research\, and following each presentation\, we had a short Q&A to dive deeper into any questions.We gratefully acknowledge Lenovo for sponsoring the student presentation awards. \nThanks to all who attended this fantastic opportunity to explore a diverse range of topics in High-Performance Computing (HPC)\, and congratulations to the winners: \n\nFirst place: Stephen Tivenan\, Virginia Commonwealth University\nSecond place: Allyson Morris\, College of William & Mary\n\n \n			\n						Watch the recording (TBD)\n					 \nPresenters\n1. Olabisi Bashorun\, Student\, College of William & Mary \n\n\n\nTopic: Utilizing Threading for Training ML Models on Biological Data.\nVolunteer Mentor: Karsten Siller\, University of Virginia.\n\n\n\n2. Bhavya Goyal\, Trainee\, Centre of Development of Advanced Computing\, India \n\nTopic: AI vs. Supercomputing: Achieving a 28x Speedup in Climate Modeling.\nVolunteer Mentor: Kirti Patel\, Virginia Tech Alumni\n\n3. Allyson Morris\, Student\, College of William & Mary \n\nTopic: Efficient Perceptron Implementation in C for Scalable Classification.\nVolunteer Mentor: Parastoo Bybordi\, Virginia Commonwealth University.\n\n4. Supraja Naraharisetty\, Graduate Student\, George Mason University \n\nTopic: Efficient Resource Utilization Analysis and Optimization in HPC Systems using Grafana and FastAPI.\nVolunteer Mentor: Hadeel Albahar\, Virginia Tech & Kuwait University\n\n5. Emmanuel Sampson\, Student\, College of William & Mary  \n\nTopic: Machine Learning in Atomistic Spin Dynamics.\nVolunteer Mentor: Tejasri Anuboina\, George Mason University.\n\n6. Abhinav Sai Tummapudi\, Student\, George Mason University \n\nTopic: GPU-Watch: An Autonomous Node-Level GPU Utilization Enforcement Framework for Slurm Clusters.\nVolunteer Mentor: Eric Walter\, College of William & Mary.\n\n7. Stephen Tivenan\, Graduate Student\, Virginia Commonwealth University \n\nTopic: Spatial Jacobian Neural Network.\nVolunteer Mentor: Lishan Yang\, George Mason University.\n\n8. Puqi Zhou\, Graduate Student\, George Mason University \n\nTopic: Designing multi-robot ground video sensemaking with public safety professionals.\nVolunteer Mentor: Mary Saville\, University of Virginia.
URL:https://va-whpc.org/event/save-the-date-va-whpc-student-lightning-talks-iv/
LOCATION:Virtual Event
CATEGORIES:VA-WHPC Event
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