JUNE 19-21, 2023

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2023 Symposium Sessions

Monday June 19

9:00AI Innovations I
1:30AI Innovations II
4:00AI Innovations - Posters

Tuesday June 20

10:30Molecular Modeling
1:30AI for Materials
4:00AI for Materials - Posters

2023 Symposium Program

Monday June 19

9:00AI Innovations IChesapeake A
Session chair: Amarda Shehu, George Mason University, US
B. Jacobson, University of New Mexico, US
Predicting Antimalarial Activity of Compounds using SMILES strings and Machine Learning: A Study on the Relationship between Chemical Structure and Molecular Properties in the fight against Malaria
C. Ekenna, University at Albany, US
Generative design for small molecule drugs
A. Roy, Norachem, US
Creating the Extended Reality of the Future with Artificial Intelligence and Computational Design
L-F. Yu, George Mason University, US
Industrial Internet of Things (IIOT) Physics-Based Dimensionality Reduction
N. Loychik, Los Alamos National Laboratory, US
Why You Need to Start Preparing for the American Data Privacy and Protection Act (ADPPA): Understanding its Impact on Enterprises
M. O'Malley, SenecaGlobal, US
Automated Detection and Classification of Vehicle Dashboard Warning Lights for Improved Understanding of Vehicle Condition
W. Giegerich, T.S. Porter, K. Shuttleworth, L. Forte III, Ph.J. Schneider, K.W. Oh, University at Buffalo, US
1:30AI Innovations IIChesapeake A
Session chair: Craig Yu, George Mason University, US
Automated Classification of Electric Vehicle Models and Drivetrains by Means of Magnetic Field Characterization via Machine Learning
W. Giegerich, Dennis Federoshin, Philip Gentz, Livio Forte III, Ph.J. Schneider, K.W. Oh, University at Buffalo, US
Neural Networks and the Problem of Style in Art Attribution
V. Sundaram, A. Coyle, Southern Methodist University, US
Utilizing AI & Wearable Technology to Optimize Physical Performance in Military Personnel
H. Bundele, ibLaunch Company, US
Artificial Intelligence for Visual Battlefield Awareness
M. Karnes, Ubihere, US
Investigating Intersection Safety with 3D Object Detection and Digital Twin Technology from Video Data
D. Patel, A. Nayeem, R. Alfaris, M. Jalayer, Rowan University, US
Predictive Human Motion Using Physics-Based Avatars for Unreal Engine 4
T. Klopfenstein, R. Bhatt, K. Malek, University of Iowa Technology Institute, US
Graph Anomaly Dection
R. Karn, V. Sundaram, SMU Dallas, US
4:00AI Innovations - PostersExpo Hall AB
AI and THz Based Advanced Hardware Security and Reliability Testing for VLSI
N. Akter, J. Suarez, M. Shur, N. Pala, Rensselaer Polytechnic Institute, US
Machine learning pipeline of novel peptide and protein generation with refined selection for production in vivo
S.N. Dean , J.A.E. Alvarez, P.M. Legler, A.P. Malanoski, US Naval Research Laboratory, US
Adversarial probabilistic AI
T. Ekin, Texas State University, US
Real-Time Intelligent Surveillance using Ethical Anomoly Detection
S. Reid, C. Neff, Chimeras, US
Innovation in Contracting and Focus on SBIR Phase IIIs
A. Donahoo, A. Rouse, GSA, US
Detection of Distracted Driving using Deep Learning Algorithm
A.S. Hasan, D. Patel, M. Jalayer, Rowan University, US

Tuesday June 20

10:30Molecular ModelingChesapeake A
Session chair: Jan-Willem Handgraaf, Siemens Digital Industries Software, NE
Molecular Dynamics Simulation of the Dynamic Hydration Layer in a Polyzwitterionic Polymer
J.A. Clark, V.M. Prabhu, J.F. Douglas, National Institute of Standards and Technology, US
How molecular simulations can help to energetic transition?
D. Pantano, Total Energies, US
Molecular Dynamic Simulation Study on the Effects of Moisture Content on the Water Activity and Glass Transition Temperature of Food Carbohydrates
L. Abudour, General Mills, US
First-principles study of the tritium diffusion and formation in γ-LiAlO2 pellets
Y. Duan, T. Jia, H. Paudel, Y.-L. Lee, D. Senor, A.M. Casella, National Energy Technology Laboratory, US
1:30AI for MaterialsChesapeake A
Session chair: Jan-Willem Handgraaf, Siemens Digital Industries Software, NE
Generative Models for Synthetically Accessible Polymers
N.E. Jackson, University of Illinois Urbana-Champaign, US
Accelerating Materials Discovery and Design using AI and Machine Learning
P.S. Dutta, A. Koneru, D. Sanpui, A. Chandra, H. Chan, S. Manna, S. Banik, T.D. Loeffler, S.K.R.S. Sankaranarayanan, University of Illinois at Chicago, US
Robocoater: Automated, Multi-Modal Optical Characterization Platform for Performing Closed-loop Bayesian Optimization of Thin-Film Hybrid Perovskite for PV Application
N. Woodward, B. Guo, M. Chauhan, M. Abolhasani, K. Rayes, A. Amassian, North Carolina State University, US
Machine Learning-Driven Automated Scanning Probe Microscopy
Y. Liu, K.P. Kelley, R.K. Vasudevan, M. Ziatdinov, S.V. Kalinin, Oak Ridge National Laboratory, US
Machine learning accelerated computational design of materials and processes
T.P.M. Goumans, M. Hellström, P.S.N. Onofrio, N. Aguirre, R. Rüger, Software for Chemistry & Materials, NL
4:00AI for Materials - PostersExpo Hall AB
Metal Hydride Composition-Derived Parameters as Machine Learning Features for Alloy Design and H2 Storage
S. Nations, T. Nandi, A. Ramazani, S. Wang, Y. Duan, National Energy Technology Laboratory, US
Single-Electron Reservoir Computing Circuit with Online Learning
S. Watanabe, T. Oya, Yokohama National University, JP
AI-driven Part Printability Recommendation System for Additive Manufacturing
J.A. Steets, D. Mooney, B. O’Briant, Illumination Works, LLC., US
Relatable Explanations For AI Applications
J. Tan, National University of Singapore, SG
Faux-Data Injection Optimization for Accelerating Data-Driven Discovery of Materials
A. Ziaullah, S. Chawla, F. El Mellouhi, Hamad Bin Khalifa University, QA
Accelerating Materials discovery: Best practices for Research Data Management Strategies
J. Medina, A. Wahab Ziaullah, E-T. Bentria, H. Park, I.E. Castelli, A. Shaon, H. Bensmail, F. El-Mellouhi, Hamad Bin Khalifa University, QA
Physics-informed machine learning prediction of Curie temperature of rare-earth magnetic materials
P. Singh, T. Del Rose, A. Palasyuk, Y. Mudryk, Ames National Laboratory, US
AI-Based Linearization Schemes for 5G/6G Fiber/Wireless Systems
L.A. Melo Pereira, L..L. Mendes, C.J. Albanez Bastos Filho, A. Cerqueira Sodré Junior, National Institute of Telecommunications (Inatel), BR
Design and Implementation of a Modified Shortest Path Algorithm for Package Delivery
B. Abegaz, Loyola University Chicago, US
Developing a Multi-Sensing Platform for a Six Degrees of Freedom Industrial Robot
B. Abegaz, Loyola University Chicago, US
Topics & Application Areas
  • AI for Advanced Manufacturing
  • AI for Biomaterials and Drug Design
  • AI for Advanced Materials Design
  • AI Innovations
  • Machine learning for Characterization

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Sponsors & Partners
SBIR/STTR Agency Partners