Name: A3D3 All-hands meeting
Start: 2024-10-14T08:00:00-04:00
End: 2024-10-14T21:35:00-04:00
Location: Convergence Center @ Purdue University

A3D3 All-hands meeting

Monday 14 October 2024 - 08:00

Monday 14 October 2024

08:00 Registration
Registration
08:00 - 09:00
Room: Innovation Room
09:00 PI talks
PI talks
09:00 - 10:00
Room: Innovation Room
Contributions

09:00 Welcome - Seungbin Park Yulei Zhang (University of Washington (US))

09:10 Efficient Multi-modal LLM on the Edge - Song Han (MIT)

09:35 Distribution Shifts in Graph Machine Learning and Graph Domain Adaptation - Pan Li
10:00 Trainee talks
Trainee talks
10:00 - 11:15
Room: Innovation Room
Contributions

10:00 Trainee-led: Overview of MMA - Will Benoit

10:15 Trainee-led: Overview of Neuro - Seungbin Park

10:30 Trainee-led: Overview of HEP - Yuan-Tang Chou (University of Washington (US))

10:45 Trainee-led: Overview of HAC - Siqi Miao

11:00 NSF HDR ML Anomaly Detection Challenge - Advaith Anand (University of Washington (US))
11:15 Coffee
Coffee
11:15 - 11:45
Room: Innovation Room
11:45 How to Apply to Jobs (Faculty, Postdoc, Industry)
How to Apply to Jobs (Faculty, Postdoc, Industry)
11:45 - 12:45
Room: Innovation Room
Contributions

11:45 Dr. Zhijian Liu - Zhijian Liu (Massachusetts Institute of Technology)

11:50 Dr. Julia Gonski - Julia Lynne Gonski (SLAC National Accelerator Laboratory (US))

11:55 Dr. Dylan Rankin - Dylan Sheldon Rankin (University of Pennsylvania (US))

12:00 Panel Discusion - Dylan Sheldon Rankin (University of Pennsylvania (US)) Julia Lynne Gonski (SLAC National Accelerator Laboratory (US)) Zhijian Liu (Massachusetts Institute of Technology)
12:45 Lunch
Lunch
12:45 - 13:45
Room: Innovation Room
13:45 Postbac Talks
Postbac Talks
13:45 - 14:15
Room: Innovation Room
Contributions

13:45 Postbac research experience: light from black holes and other multi-messenger astronomy - Kira Nolan

13:55 Attention at Silicon Speed: Towards Efficient Transformers on FPGAs - Rian Flynn (Purdue University (US))

14:05 Postbac Research Experience: Multimodal Classification of Astronomical Transients - Alexandra Junell Brown
14:15 Trainee-led Talks: Part 1
Trainee-led Talks: Part 1
14:15 - 15:10
Room: Innovation Room
Contributions

14:15 Implementation of `traccc` as-a-service - Miles Cochran-Branson (University of Washington (US))

14:28 Channel tagging: identifying events with supernova pointing information - Janina Dorin Hakenmueller (Duke University)

14:41 Combining Neural Networks for IceCube DeepCore Reconstruction and Classification Tasks - Josh Peterson

14:54 Real-time Anomaly Detection at the CMS L1 Trigger - Melissa Quinnan (Univ. of California San Diego (US))
15:10 Coffee
Coffee
15:10 - 15:30
Room: Innovation Room
15:30 Trainee-led Talks: Part II
Trainee-led Talks: Part II
15:30 - 16:30
Room: Innovation Room
Contributions

15:30 Neural Architecture Codesign for Fast Physics Applications - Jason Weitz (UCSD)

15:43 ConNAS4ML: Gradient-Based NAS Framework with Hardware Constraints for hls4ml - ChiJui Chen

15:56 Autoencoders for Anomaly Detection and Output Reduction on the Edge (AADORE) - Alexander Yue

16:09 Closed-loop Brain Stimulation in NHPs using hardware-accelerated Machine Learning - Rajeev Botadra
16:30 Trainee-led Town Hall (with PIs)
Trainee-led Town Hall (with PIs)
16:30 - 17:15
Room: Innovation Room
17:15
17:15 - 19:42
Room: Main hall
Contributions

17:15 Decoding multi-limb trajectories of naturalistic running from calcium imaging using deep learning - Seungbin Park

17:20 Noise or Astrophysical: Developing Machine Learning Classifiers for Characterizing Gravitational Wave Events - Seiya Tsukamoto

17:25 Detecting the Invisible: Electron Hit Localization in High-Resolution TEM Images Using Deep Learning on FPGAs - Derrick Appiah Osei

17:30 Estimating the Hubble Constant by combining posteriors from Multi-Messenger Kilonovae Observations - Megan Averill

17:35 Real-time compression of CMS detector data with machine learning - Mariel Peczak

17:40 Multi-messenger Astronomy Observations Via Alert Stream Filtering - Kira Nolan (California Institute of Technology)

17:45 Improving Sensitivity to Neutron Star Gravitational Wave Events using the Qp Transform - Emma de Bruin

17:50 Model Logging for FPGA Deployment - Julian Goddy

17:55 Accelerating Subglacial Bed Topography Prediction in Greenland: A Performance Evaluation of Spark-Optimized Machine Learning Models - Mostafa Cham (iHARP)

18:00 Early-time Classification of Astronomical Transients - Alexandra Junell Brown

18:05 Finding Binary Black Hole Mergers - Steven Henderson (UMN - Twin Cities)

18:10 Online track reconstruction with graph neural networks on FPGAs for the ATLAS experiment - Jared Burleson (University of Illinois at Urbana-Champaign)

18:15 Smart Pixels: A Machine Learning Approach Towards Data Reduction in Next-Generation Particle Detectors - David Jiang (Univ. Illinois at Urbana Champaign (US))

18:28 Foundation Model for Real-Time Model Selection and Fitting - Cymberly Tsai

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