Advances in computational power coupled with big data analysis and innovations in machine learning, modeling and simulation approaches are enabling artificial intelligence to revolutionize the biomaterials and drug discovery and development process.
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Back to Top ↑2023 Symposium Sessions |
| 9:00 | AI Innovations I |
| 1:30 | AI Innovations II |
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2023 Symposium Program |
| Monday June 19 |
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| 9:00 | AI Innovations I | Chesapeake A |
| Session chair: Amarda Shehu, George Mason University, US |
| 9:00 | Detection of Organic Cofactors Binding Sites via Deep Learning
B. Jacobson, University of New Mexico, US |
| 9:25 | 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 |
| 9:50 | Generative design for small molecule drugs
A. Roy, Norachem, US |
| 10:10 | Break
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| 10:20 | Creating the Extended Reality of the Future with Artificial Intelligence and Computational Design
L-F. Yu, George Mason University, US |
| 10:45 | Industrial Internet of Things (IIOT) Physics-Based Dimensionality Reduction
N. Loychik, Los Alamos National Laboratory, US |
| 11:05 | 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 |
| 11:25 | 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 |
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| 1:30 | AI Innovations II | Chesapeake A |
| Session chair: Craig Yu, George Mason University, US |
| 1:30 | 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 |
| 1:50 | Neural Networks and the Problem of Style in Art Attribution
V. Sundaram, A. Coyle, Southern Methodist University, US |
| 2:10 | Utilizing AI & Wearable Technology to Optimize Physical Performance in Military Personnel
H. Bundele, ibLaunch Company, US |
| 2:30 | Break
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| 2:40 | Artificial Intelligence for Visual Battlefield Awareness
M. Karnes, Ubihere, US |
| 3:00 | 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 |
| 3:20 | Predictive Human Motion Using Physics-Based Avatars for Unreal Engine 4
T. Klopfenstein, R. Bhatt, K. Malek, University of Iowa Technology Institute, US |
| 3:40 | Graph Anomaly Dection
R. Karn, V. Sundaram, SMU Dallas, US |
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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
Creating the Extended Reality of the Future with Artificial Intelligence and Computational Design
