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DTSTART;TZID=America/New_York:20251112T130000
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DTSTAMP:20260908T194206
CREATED:20250923T133111Z
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SUMMARY:Save the Date: VA-WHPC Student Lightning Talks
DESCRIPTION:On November 12th from 1–2 pm EST\, VA-WHPC hosted 9 students as they gave 3-minute lightning talks on their research to members of the HPC community from across Virginia. A prize was awarded to the top presentation\, as voted by attendees. We gratefully acknowledge the support of Dell Technologies for this event. \n  \n			\n						Register\n					 \nSpeakers:\n  \nTejasri Anuboina\, George Mason University \nIdentification of Anomalous Agents in Human Trajectory \nVolunteer Mentor: Karsten Siller\, University of Virginia \n  \nDaniel Berhane Araya\, George Mason University \nFinVet: A Collaborative Framework of RAG and External Fact-Checking Agents for Financial Misinformation Detection \nVolunteer Mentor: John Gillespe\, Virginia Tech AOE / NASA GRC  \n  \nParastoo Bybordi\, Virginia Commonwealth University \nGenotype Classification Using High-Resolution Melt Curves and Machine Learning Approaches \nVolunteer Mentor: Anuridhi Gupta\, George Mason University \n  \nEmily Euler\, James Madison University \nModeling Isomeric Butanol Reactivity on TiO2/Au(111) Inverse Model Catalysts \nVolunteer Mentor: Supraja Naraharisetty\, George Mason University \n  \nYing Fei Lin\, Virginia Tech \nRoot Estimation in Phylogenetic Trees Using Deep Learning \nVolunteer Mentor: Kirti Patel\, Virginia Tech \n  \nKapi Ketan Mehta\, Virginia Tech \nIntelligence Embodied with Safe Autonomy \nVolunteer Mentor: Eric Walter\, William & Mary \n  \nChandra Sarkar\, Virginia Tech \nDiscovering Bacterial Lineages from Bird Lice  \nVolunteer Mentor: Lishan Yang\, George Mason University \n  \nXiaorong Shan\, George Mason University \nA Breath Can Tell: Detecting Breast Cancer through Airborne Biomarkers  \nVolunteer Mentor: Hadeel Albahar\, Virginia Tech  \n  \nAdriana Valentina Farias\, George Mason University \nLeveraging Connected Vehicle Data in Richmond\, VA to Improve Travel Demand Modeling  \nVolunteer Mentor: Xinxin Mei\, Jefferson Lab 
URL:https://va-whpc.org/event/student-lightning-talks-2025/
LOCATION:Virtual Event
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251210T130000
DTEND;TZID=America/New_York:20251210T140000
DTSTAMP:20260908T194206
CREATED:20251117T065723Z
LAST-MODIFIED:20251212T180127Z
UID:7076-1765371600-1765375200@va-whpc.org
SUMMARY:Save the Date: Meandering Paths: Two Women’s Journeys to Cybersecurity
DESCRIPTION:Thank you to those who joined us for a special Virginia Women in High Performance Computing (VA-WHPC) event exploring the growing importance of cybersecurity. Our distinguished panelists shared their career journeys\, discussed emerging developments and challenges in the field\, and offered insights on how to begin and advance a career in cybersecurity. \n			\n						Watch the Recording\n					 \nWhen: December 10th\, 2025 | 1:00–2:00 p.m. EST \nPanelists: \nAmy Starzynski Coddens\, M.Ed. – Vice President of Training Services\, Ascend CyberAmy Starzynski Coddens recently joined Ascend Cyber as Vice President of Training Services. Before that\, she served as the Director of Strategic Security for the Universities of Wisconsin System. As a graduate of the Indiana University School of Education (M.S. ’06 & M.S. ’09) and Maurer School of Law (Graduate Certificate\, Cybersecurity Law and Policy ‘21)\, Amy previously served as the Strategic Partnerships Manager for the REN-ISAC and has a background in P-16 education\, research\, and outreach. She has worked in government\, industry\, and academia\, contributing to projects with the CMMC-Accreditation Body\, National Science Foundation\, NASA Education\, the New England Research Institute and Harvard’s PEAR Institute. A member of WiCyS\, EDUCAUSE\, and IAPP\, she has a passion for workforce development\, furthering equitable and inclusive efforts within the cybersecurity realm\, and ensuring that security and privacy are accessible to all. In her spare time\, she loves to travel\, read\, attend concerts\, and spend time with family (2 teenagers!). \nLaura Raderman\, M.S.\, MBA – ISO Policy & Compliance Coordinator\, Carnegie Mellon UniversityLaura Raderman has been in the cybersecurity industry for over 25 years\, first as a consultant to Fortune 50 companies\, and now as a Policy and Compliance Coordinator for Carnegie Mellon University’s Information Security Office for the last 11 years. At Carnegie Mellon University\, Laura is responsible for assisting all departments at the University to comply with various laws\, regulations and contractual agreements controlling information security. Laura is an active contributor to EDUCAUSE including comments on NIST standards and Federal rulemaking related to research security.Laura is a Lead CMMC Certified Assessor (CCA) and consults with companies to get ready for their CMMC assessment as well as participate on Level 2 (C3PAO) Assessments.In her personal time\, she’s a Girl Scout troop leader\, home automation enthusiast\, swimmer\, and spends time with her husband\, daughter and two cats. \nModerator:Nicole Braunscheidel\, Ph.D. – Computational Scientist\, A/P Faculty\, Advanced Research Computing\, Virginia Tech \nCode of Conduct:We strive to provide a safe\, respectful\, and harassment-free environment for all participants\, regardless of age\, sex\, gender identity or expression\, sexual orientation\, race\, ethnicity\, nationality\, ability\, or religious beliefs.
URL:https://va-whpc.org/event/meandering-paths/
LOCATION:Virtual Event
CATEGORIES:VA-WHPC Event
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DTSTART;TZID=America/New_York:20260318T130000
DTEND;TZID=America/New_York:20260318T140000
DTSTAMP:20260908T194206
CREATED:20260305T200634Z
LAST-MODIFIED:20260319T183449Z
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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:20260908T194206
CREATED:20260317T162834Z
LAST-MODIFIED:20260422T184822Z
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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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