JUNE 19-21, 2023

AI TechConnect

AI for Advanced Manufacturing


Symposium Co-Chairs

2022 Key Speakers

Prasanna BalachandranEfficient Navigation of Additive Manufacturing Process Space via Data-Driven and Bayesian Inference Methods
Prasanna Balachandran
Assistant Professor, University of Virginia

Wan ShouMachine learning driven materials discovery, manufacturing process optimization, and intelligent applications
Wan Shou
Assistant Professor, University of Arkansas

Artificial intelligence and machine learning are already making an impact in the manufacturing sector. With AI products can be better designed, and designed to be more effectively manufactured. Processes can be continually monitored and optimized to cut down unplanned downtime. Enhanced data collection and AI-powered analytics can significantly increase efficiency, product quality and the employee safety.

Join us for this exciting symposium featuring the latest innovations and future directions for AI in advanced manufacturing.

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2023 Symposium Sessions

9:00AI Innovations I
1:30AI Innovations II

2023 Symposium Program

Monday June 19

9:00AI Innovations IChesapeake A
Session chair: Amarda Shehu, George Mason University, US
9:00Detection of Organic Cofactors Binding Sites via Deep Learning
B. Jacobson, University of New Mexico, US
9:25Predicting 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
9:50Generative design for small molecule drugs
A. Roy, Norachem, US
10:20Creating the Extended Reality of the Future with Artificial Intelligence and Computational Design
L-F. Yu, George Mason University, US
10:45Industrial Internet of Things (IIOT) Physics-Based Dimensionality Reduction
N. Loychik, Los Alamos National Laboratory, US
11:05Why You Need to Start Preparing for the American Data Privacy and Protection Act (ADPPA): Understanding its Impact on Enterprises
M. O'Malley, SenecaGlobal, US
11:25Automated 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
1:30Automated 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
1:50Neural Networks and the Problem of Style in Art Attribution
V. Sundaram, A. Coyle, Southern Methodist University, US
2:10Utilizing AI & Wearable Technology to Optimize Physical Performance in Military Personnel
H. Bundele, ibLaunch Company, US
2:40Artificial Intelligence for Visual Battlefield Awareness
M. Karnes, Ubihere, US
3:00Investigating Intersection Safety with 3D Object Detection and Digital Twin Technology from Video Data
D. Patel, A. Nayeem, R. Alfaris, M. Jalayer, Rowan University, US
3:20Predictive Human Motion Using Physics-Based Avatars for Unreal Engine 4
T. Klopfenstein, R. Bhatt, K. Malek, University of Iowa Technology Institute, US
3:40Graph Anomaly Dection
R. Karn, V. Sundaram, SMU Dallas, US

Sponsor & Exhibitor Opportunities

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Sponsors & Partners
SBIR/STTR Agency Partners