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| Tuesday March 10 |
| 1:30 | AI Innovations – Healthcare and Characterization |
| 4:00 | AI Innovations - Posters |
| Wednesday March 11 |
| 1:15 | AI for Grid Resilience and Security Challenge |
| 1:30 | AI, Modeling, and Simulation for Advanced Materials Design |
| 4:00 | AI for Materials Discovery - Posters |
| Thursday March 12 |
| 9:00 | AI Innovations |
|
2026 Symposium Program |
| Tuesday March 10 |
|
| 1:30 | AI Innovations – Healthcare and Characterization | Marriott State E |
| Session chair: Jan-Willem Handgraaf, Siemens |
| visQ.AI: A Small-Data, On-Premise Machine Learning Engine for Predicting Viscosity & Injectability of High-Concentration Biologics
Z. Parlak, P. MacNichol, D. French, QATCH Technologies, US |
| Detecting Alcohol Intoxication from speech - a look inside Large Acoustic Model embeddings
X. Liu, R. Seiilova-Olson, A. Shamei, H. Sinan, Tenvos Inc., US |
| AI-Powered Virtual Patient Simulation versus Written Case Studies in Health Professional Students
J.J. Borckardt, D.H. Henninger, K. Bath, D.A. Annan-Coultas, L. Langdale, K. Kascak, C. Pelic, M. DeArellano, K. Brady, Medical University of South Carolina and Figment Learning Labs, US |
| AI-Powered Auxiliary Medical Diagnostic Systems
M. Farias, Texas State University, US |
| AI-Integrated Framework for Intelligent Characterization and Valorization of Complex Waste Materials
M. Salas, R. Rao, S. Singh, R. Kumar, A. Sarker, A. Singh, J. Yarbrough, A. Mittal, L. Pal, North Carolina State University, US |
| Advanced Characterization of Textile Waste Streams Using Hyperspectral Imaging and Machine Learning for Fabric and Contaminant Detection
R. Kumar, S. Singh, R. Rao, L. Pal, North Carolina State University, US |
| A Systems Engineering Approach to Quantifying Resilience and Agility in Complex Systems of Systems
R.B. Hayes, North Carolina State University, US |
|
| 4:00 | AI Innovations - Posters | Expo Hall AB |
| AI Cyber Defense, Re-imagined
A. Pabrai, ecfirst, Inc., US |
| AI to Accelerate Cyber Risk Management Processes
L.R. Thistlethwaite, M. Zang, K. Workman, P. Rosenberg, C. Wrinkle, M. Ford, D. Harner, J.A. Steets, Illumination Works LLC, US |
| Coordinate with Care: A Digital Educational Platform
N.T. McFadden, S.N. Shah, Texas State University, US |
| Causal-Safe: A Multimodal Neuro-Symbolic Agent for Counterfactual Traffic Risk Assessment and Intervention
S. Das, A. Rafe, Texas State University, US |
| A Sheaf-Theoretic Framework for Trustworthy Multi-Sensor Fusion in Roadway Safety
S. Das, A. Rafe, Texas State University, US |
| A Privacy-Preserving Cyberinfrastructure for Synthetic Transportation Video and Safety Analytics
S. Das, A. Rafe, Texas State University, US |
| Photo Based AI Screening for Dementia and Mental Health Sensitive Interior Environments: A Decision, Support Tool for Rapid Risk Mitigation
M.N. Adi, Texas State University, US |
| Inventory Organization Is Crucial: How to Maximize Productivity and Reduce Errors
L.A. Petty, L. Petty, XP3 Data Corp, US |
| AI-Native Voice Communications for Resilient Operation in Degraded Networks
C.C. Gerber, J.R. Gerber, ShadowGen Inc, US |
| AI-Enabled Executive Decision Intelligence for Workforce Health and Healthcare Cost Containment
P.R. Hogan, Prescient Healthcare, US |
| Smart Cities, Powered by Real-Time AI Orchestration
J. Rice, Vantiq, US |
| An Ecosystem Approach to Applied AI and Quantum Innovation Roadmapping
M. Binko, J. Hamann, S. Anjum, ENTEVATE AI+Quantum Innovation (AIQUI) Sandbox®, US |
| Wednesday March 11 |
|
| 1:15 | AI for Grid Resilience and Security Challenge | RCC 303 |
| Session chair: Jonathan Jakischa, TechConnect Division, ATI |
| Review Panelist
P. Chilukuri, ABB, US |
| Review Panelist
G. Dorr, Advanced Technology International (ATI), US |
| Review Panelist
B. Kronenwetter, Duke Energy, US |
| Review Panelist
C. McCollough, Digi.City, US |
| Review Panelist
P. Pandey, Fidelity Investments, US |
|
| 1:30 | AI, Modeling, and Simulation for Advanced Materials Design | Marriott State E |
| Session chair: Michael Webb, Princeton University, & Jan-Willem Handgraaf, Siemens |
| Accelerating Polymer Discovery: Integrating High-Throughput Automation and Machine Learning for Tailored Macromolecular Design
M. Tamasi, A.J. Gormley, Plexymer, Inc., US |
| AI-driven polymers & formulations innovations at the industrial scale
J. Nistane, R. Ramprasad, Matmerize, Inc, US |
| *STUDENT BEST ABSTRACT WINNER* SemiOrg: An Open-Data, Open-Source FAIR Data Infrastructure for AI-Driven Discovery of Semiconducting Organic Materials
T. Trapier, North Carolina State University, US |
| The Use of AI Tools for Phosphorus Sustainability
S.K. Pinky, P. Hogsed, A. Kancharla, N.A. Zaid, A. Gulyuk, D.S. Pendyala, R. Lakshmi-Ratan, R. Chirkova, E. McLamore, Y.G. Yingling, North Carolina State University, US |
| Bridging Accuracy and Scale: AI-Accelerated Atomistic Simulation with Matlantis™
T. Watanabe, Matlantis Corp., JP |
| SimuScan and Large-Area AFM: Toward Autonomous Nanoscale Discovery through Synthetic Data and Machine Learning
R. Millan‐Solsona, M. Checa, L. Collins, Oak Ridge National Laboratory, US |
| Finite Element Analysis and Experimental Evaluation of Biobased Flexible Packaging Films
A. Rathaur, L. Pal, North Carolina State University, US |
| Forecasting Emissions from Carbon Capture Plants Leveraging Advanced Artificial Intelligence Models
K. Nithyanandam, S. Bhavsar, C. Kulkarni, Impact Innovations LLC, US |
|
| 4:00 | AI for Materials Discovery - Posters | Expo Hall AB |
| Efficient in-sensor and multimodal signal processing using Hyperdimensional computing algorithms implemented on an FPGA
V. Ehsan, N. Srinivasa, R. Kim, and Y. Khurana, Arch Systems, LLC, US |
| AI-Driven Knowledge Graphs for Sustainable Materials Discovery and a Circular Phosphorus Economy
N. Abu Zaid, Q. Yang, S. Changlani, D.S. Pendyala, B.P. Allen, A.V. Gulyuk, R. Chirkova, Y.G. Yingling, North Carolina State university, US |
| Waste Valorization and AI-driven Optimization for Industrial Application.
K. Shah, S. Mandal, Texas State University, US |
| Temperature-Dependent Diffusion Mechanisms in Metal–Organic Frameworks Revealed by Machine-Learning Interatomic Potentials
S.K. Ethirajan, A. Kulkarni, University of California, Davis, US |
| SDDC-YOLO: A Diagnostic Framework for Defect Detection in Industrial Materials
M. Gao, E. Shim, M. Zhu, North Carolina State University, US |
| Designing Biomolecule and Surface Agnostic Interaction Descriptors Using MD
M. Fedai, A.Y. Pandya, A.L. Kwansa, Y.G. Yingling, North Carolina State University, US |
| Catalyzing Chemistry: Ultra High-Throughput Physical Experimentation for Advanced Materials Discovery & Optimization
Z. Batts, Dot Energy LLC, US |
| Thursday March 12 |
|
| 9:00 | AI Innovations | Marriott State E |
| Session chair: Bart Romanowicz, TechConnect Division, ATI |
| Dependence-Aware Multi-Agent Intelligence for Adaptive Fraud Detection
T. Ekin, K. Mandadapu, L. Shaw, Texas State University, US |
| GENESIS: Self‑Organizing Orchestration of Agents and Foundation Models over DDS
J. Upchurch, Real-Time Innovations, US |
| PATHOS AI: A Secure, Institution-Specific AI Platform for Personalized Academic Advising
E.C. Zhu Fainman, Texas State University, US |
| Operationalizing Adversarial AI Resilience: A Framework for Trustworthy and Secure AI in Critical Sectors
M. Kumar, Guidehouse, US |
| Incorporating the Assessment Process into Actions Owned by All, Not Just Safety
S. Larson, H. Chapman, Inseer, US |
| Integrated Digital Engineering for National Security Advantage
V. Perumal, A. Stein, UHV3D, Inc. (dba CAMINNO), US |
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