JUNE 17-19, 2024
WASHINGTON, DC    

AI TechConnect
 

AI Innovations

AI Innovations

Call for Abstract - due April 1 »

Symposium Co-Chairs

Dalia YablonDalia Yablon
Technical Program Chair
TechConnect World Innovation Conference

Sang NamSang Nam
Professor
George Mason University

This symposium highlights developments in AI, machine learning, data analytics and robotics that will enable multiple application areas. These innovations will have broad impact - but they will revolutionize manufacturing, advanced materials, biomaterials, and drug design and development - the focus areas for this conference. Submit an abstract describing your contributions to this exciting field and plan to join us in Washington DC in June.

 
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2023 Symposium Sessions

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

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
10:10Break
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
2:30Break
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
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

Call for Abstract - due April 1 »


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