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A3D3 All-hands meeting

Monday, October 14, 2024 - 8:00 AM
Convergence Center @ Purdue University (Innovation Room)

        : Sessions
    /     : Talks
        : Breaks
Oct 14, 2024
AM
8:00 AM --- Registration ---
9:00 AM
Morning Plenary (until 10:00 AM)
9:00 AM Welcome - Seungbin Park Yulei Zhang (University of Washington (US))  
9:10 AM Efficient Multi-modal LLM on the Edge - Dr Song Han (MIT)  
9:35 AM Distribution Shifts in Graph Machine Learning and Graph Domain Adaptation - Pan Li  
10:00 AM
Morning Plenary (until 11:15 AM)
10:00 AM Trainee-led: Overview of MMA - Will Benoit  
10:15 AM Trainee-led: Overview of Neuro - Seungbin Park  
10:30 AM Trainee-led: Overview of HEP - Yuan-Tang Chou (University of Washington (US))  
10:45 AM Trainee-led: Overview of HAC - Siqi Miao  
11:00 AM NSF HDR ML Anomaly Detection Challenge - Advaith Anand (University of Washington (US))  
11:15 AM --- Coffee ---
11:45 AM
Morning Parallels (until 12:45 PM)
11:45 AM Dr. Zhijian Liu - Zhijian Liu (Massachusetts Institute of Technology)  
11:50 AM Dr. Julia Gonski - Julia Lynne Gonski (SLAC National Accelerator Laboratory (US))  
11:55 AM Dr. Dylan Rankin - Dylan Sheldon Rankin (University of Pennsylvania (US))  
12:00 PM Panel Discusion - Zhijian Liu (Massachusetts Institute of Technology) Dylan Sheldon Rankin (University of Pennsylvania (US)) Julia Lynne Gonski (SLAC National Accelerator Laboratory (US))  
PM
12:45 PM --- Lunch ---
1:45 PM
Afternoon Plenary (until 2:15 PM)
1:45 PM Postbac research experience: light from black holes and other multi-messenger astronomy - Kira Nolan  
1:55 PM Attention at Silicon Speed: Towards Efficient Transformers on FPGAs - Rian Flynn (Purdue University (US))  
2:05 PM Postbac Research Experience: Multimodal Classification of Astronomical Transients - Alexandra Junell Brown  
2:15 PM
Afternoon Plenary (until 3:10 PM)
2:15 PM Implementation of `traccc` as-a-service - Miles Cochran-Branson (University of Washington (US))  
2:28 PM Channel tagging: identifying events with supernova pointing information - Janina Dorin Hakenmueller (Duke University)  
2:41 PM Combining Neural Networks for IceCube DeepCore Reconstruction and Classification Tasks - Josh Peterson  
2:54 PM Real-time Anomaly Detection at the CMS L1 Trigger - Melissa Quinnan (Univ. of California San Diego (US))  
3:10 PM --- Coffee ---
3:30 PM
Afternoon Plenary (until 4:30 PM)
3:30 PM Neural Architecture Codesign for Fast Physics Applications - Jason Weitz (UCSD)  
3:43 PM ConNAS4ML: Gradient-Based NAS Framework with Hardware Constraints for hls4ml - ChiJui Chen  
3:56 PM Autoencoders for Anomaly Detection and Output Reduction on the Edge (AADORE) - Alexander Yue  
4:09 PM Closed-loop Brain Stimulation in NHPs using hardware-accelerated Machine Learning - Rajeev Botadra  
4:30 PM
Afternoon Plenary (until 5:15 PM)
5:15 PM
Poster Session / Reception (until 7:42 PM)
5:15 PM Decoding multi-limb trajectories of naturalistic running from calcium imaging using deep learning - Seungbin Park  
5:20 PM Noise or Astrophysical: Developing Machine Learning Classifiers for Characterizing Gravitational Wave Events - Seiya Tsukamoto  
5:25 PM Detecting the Invisible: Electron Hit Localization in High-Resolution TEM Images Using Deep Learning on FPGAs - Derrick Appiah Osei  
5:30 PM Estimating the Hubble Constant by combining posteriors from Multi-Messenger Kilonovae Observations - Megan Averill  
5:35 PM Real-time compression of CMS detector data with machine learning - Mariel Peczak  
5:40 PM Multi-messenger Astronomy Observations Via Alert Stream Filtering - Kira Nolan (California Institute of Technology)  
5:45 PM Improving Sensitivity to Neutron Star Gravitational Wave Events using the Qp Transform - Emma de Bruin  
5:50 PM Model Logging for FPGA Deployment - Julian Goddy  
5:55 PM Accelerating Subglacial Bed Topography Prediction in Greenland: A Performance Evaluation of Spark-Optimized Machine Learning Models - Mostafa Cham (iHARP)  
6:00 PM Early-time Classification of Astronomical Transients - Alexandra Junell Brown  
6:05 PM Finding Binary Black Hole Mergers - Steven Henderson (UMN - Twin Cities)  
6:10 PM Online track reconstruction with graph neural networks on FPGAs for the ATLAS experiment - Jared Burleson (University of Illinois at Urbana-Champaign)  
6:15 PM Smart Pixels: A Machine Learning Approach Towards Data Reduction in Next-Generation Particle Detectors - David Jiang (Univ. Illinois at Urbana Champaign (US))  
6:28 PM Foundation Model for Real-Time Model Selection and Fitting - Cymberly Tsai