Name: New York Scientific Data Summit 2022: Data-Driven Discovery in Science and Industry
Start: 2022-10-19T08:30:00-04:00
End: 2022-10-20T17:40:00-04:00
Location: This summit will be held as a virtual event.

New York Scientific Data Summit 2022: Data-Driven Discovery in Science and Industry

from Wednesday, 19 October 2022 (08:30) to Thursday, 20 October 2022 (17:40)

Monday, 17 October 2022
Tuesday, 18 October 2022
Wednesday, 19 October 2022
11:00
11:00 - 13:40
Contributions

11:00 Opening and Welcome - Kerstin Kleese van Dam (Brookhaven National Laboratory)

11:10 Analytics and Tools for Grid-Connected Energy Storage Applications - Dexin Wang (PNNL)

11:40 Apply Data Science for the R&D of Next Generation Battery - Chen Ling (Toyota Research Institute of North America)

12:10 Digital Twin-based optimization of battery manufacturing processes - Alejandro A. Franco (Université de Picardie Jules Verne and Institut Universitaire de France)

12:40 Data-driven early battery life prediction for a diverse experimental dataset - Noah Paulson (Argonne National Laboratory, Data Science and Learning and Applied Materials Divisions )

13:10 Real time data and multiscale process control in manufacturing of battery materials and roll-to-roll manufacturing - Santenu Chaudhuri (Argonne National Laboratory)
13:40
13:40 - 14:10
Contributions

13:40 Characterization of Deep Learning Inference Workloads - Elvis G. Fefey (Texas State University)

13:45 An AI analysis of dark-field spectroscopy images towards early COVID-19 detection - Nick Stapleton (California Polytechnic State University)

13:50 Enhancing Deep Generative Molecular Design for Cancer Therapy by Incorporating Pathway Models - Alif Bin Abdul Qayyum (Texas A&M University)

13:55 Towards Data-Driven Machine Learning Prediction of RNA Secondary Structure - Michael Zhang (Ward Melville High School)

14:00 Performance Modeling Across Heterogenous Domains Using Few-Shot Learning - Arunavo Dey (Texas State University)

14:05 Optimizing the Latent Space of Generative Models for Designing Molecules with Multiple Target Properties - A N M Nafiz Abeer (Texas A&M University)
14:10 Coffee Break
Coffee Break
14:10 - 14:25
14:25
14:25 - 15:25
Contributions

14:25 Quantum Data Centers - Liang Jiang (Pritzker School of Molecular Engineer, University of Chicago)

14:55 Entanglement-enhanced sensing for dark matter search - Anthony Brady (University of Arizona and SQMS)
15:25
15:25 - 16:25
Contributions

15:25 Modeling the Interdependent Power Grid Uncertainties - Sara Eftekharnejad (Syracuse University)

15:55 Research on Wind Energy Integration at PNNL - Quan Nguyen (Pacific Northwest National Laboratory)
16:25

16:25 - 17:10
Thursday, 20 October 2022
11:40
11:40 - 13:40
Contributions

11:40 Is it coming soon to power system: Quantum Computing and its early exploration - Yousu Chen (Pacific Northwest National Laboratory)

12:10 Prospects for simulating warm dense matter on quantum computers - Andrew Baczewski (Sandia National Laboratory)

12:40 Quantum Computing from NERSC's Perspective - Katie Klymko (NERSC Lawrence Berkeley Laboratory (LBL))

13:10 Quantum Computing Applications for Chemistry - Gavin Jones (IBM)
13:40
13:40 - 14:10
Contributions

13:40 Quantum Random Number Generator Based on On-Off-Keying Encoding - Hamid Tebyanian (University of York)

13:45 Towards Improving Quantum Convolutional Neural Networks - Gilchan Park (BNL)

13:50 Parametric Amplification of an Optomechanical Quantum Interconnect - Huo Chen (LBL)

13:55 Demonstrations Securing the Grid with Quantum Cryptography - Joseph C. Chapman (Oak Ridge National Laboratory)

14:00 Analysis and Visualization of Important Performance Counters to Enhance Interpretability of Autotuner Output - Mohammad Zaeeda (Texas State University)

14:05 Physics-Guided Optimal Pulse Control for NISQ Computers - Meifeng Lin (Brookhaven National Laboratory)
14:10 Coffee Break
Coffee Break
14:10 - 14:25
14:25
14:25 - 16:55
Contributions

14:25 A Synchrophasor Data-Driven Method for Forced Oscillation Localization Under Resonance Conditions - Tong Huang (San Diego State University)

14:55 Quantum Network: from lab to distant nodes - Gabriella Carini (Brookhaven National Laboratory)

15:25 Unsupervised Methods for Estimating Behind-the-Meter Solar Generation and EV Charging Traces - Yue Zhao (Stony Brook University, Department of Electrical and Computer Engineering)

15:55 Online Learning and Distributed Control of Residential Demand Response - Xin Chen (Massachusetts Institute of Technology)

16:25 Data-driven Learning and Control for Resilient Power Grids - Sivaranjani Seetharaman (Purdue University)
16:55

16:55 - 17:40