Back to Top ↑Sessions |
| Monday June 9 |
| 8:30 | TechConnect World Innovation Conference - Plenary Keynotes |
| 1:30 | Emerging Methods for Materials Design with Artifical Intelligence I |
| Tuesday June 10 |
| 8:00 | TechConnect World Innovation Conference - Plenary Keynotes |
| 9:30 | Emerging Methods for Materials Design with Artifical Intelligence II |
| 1:30 | Applications of AI-based Materials Design Methods |
| 4:00 | AI for Materials Design - Posters |
| 4:00 | AI Innovations - Posters |
| Wednesday June 11 |
| 9:00 | AI Innovations |
|
Detailed Program |
| Monday June 9 |
|
| 8:30 | TechConnect World Innovation Conference - Plenary Keynotes | Lone Star E |
| Session chair: Jennifer Rocha, Dalia Yablon, Matthew Laudon, TechConnect ATI, US |
| 8:30 | Welcome to TechConnect
M. Laudon, TechConnect Division, ATI, US |
| 8:35 | TechConnect Overview: Connecting Research, Accelerating Innovation
D. Yablon, J. Rocha, TechConnect Division, ATI, US |
| 8:40 | To Be Announced
M. Pasquali, Rice University, US |
| 9:05 | Future Technologies Based on Mimicking Nature with Controls of Charge, Spin, and Heat
P. Weiss, University of California, Los Angeles, US |
| 9:30 | To Be Announced
E. Page-Littleford, Small Business Administration, US |
|
| 1:30 | Emerging Methods for Materials Design with Artifical Intelligence I | |
| Session chair: Michael Rauch, Schrodinger, US |
| Multiscale machine learning accelerates materials computations
B. Kozinsky, Harvard University, US |
| Complex Polymer Design in the Age of AI: What, How, and Why?
M.A. Webb, Princeton University, US |
| AI-Driven Innovation for Polymeric Materials and Formulations: The PolymRize Approach
R. Gurnani, Matmerize, US |
| Towards Complex Materials Development: Integration of Physics-Based and Machine Learning Approaches
E.M. Collins, K.B. Moore, H. Abroshan, D. Giesen, M.D. Halls, A. Chandrasekaran, Schrödinger, Inc., US |
| CAMINNO Gen6: Enhancing Advanced Manufacturing for High-Tech Applications with Digital Twins and Scientific Machine Learning
A. Stein, CAMINNO, Inc., US |
| Tuesday June 10 |
|
| 8:00 | TechConnect World Innovation Conference - Plenary Keynotes | Lone Star E |
| Session chair: Jennifer Rocha, Dalia Yablon, Matthew Laudon, TechConnect ATI, US |
| National Health Security Innovation Initiatives
M. Stebbins, Advanced Technology International (ATI), US |
| Fireside Chat with DARPA
J. Thabet, DARPA, US |
|
| 9:30 | Emerging Methods for Materials Design with Artifical Intelligence II | |
| Session chair: Nobuyuki N. Matsuzawa, Panasonic, US |
| Direct Inverse Analysis of Machine Learning Models for Desings of Molecules, Materials, and Processes
H. Kaneko, Meiji University, JP |
| Revolutionizing Materials Science: Accelerating Discovery and Innovation with LQMs
T. Mustard, T. Sours, A. Singh, O. Allam, M. Cormier, A. Xiao, SandboxAQ, US |
| Surrogate modeling with finite-element-based physics-informed neural networks
R.B. Sills, P. Sunil, M. Vasoya, Rutgers University, US |
| Better Together: Combining Machine Learning and Physics-Based Models to Accelerate Product Development
S.D. Edkins, Citrine Informatics, US |
| Reactivity of Detached XLi₆ Nanoclusters with SEI Components: A Computational Framework for Lithium-Ion Battery Stability
F.A. Soto, The Penn State University-Harrisburg, US |
|
| 1:30 | Applications of AI-based Materials Design Methods | |
| Session chair: Jan-Willem Handgraaf, Siemens, US |
| Accelerating Materials Innovation with an Integrated Computational Materials Engineering (ICME) Framework
S. Arumugam, C. Bream, Ansys, UK |
| Designing extreme-performance materials for air, land, sea and space with advanced computation
T. Gardner, Cambium, US |
| Applying Artificial Intelligence (AI) to build new generation gas sensors to positively impact society
R.A. Potyrailo, S. Shan, T. Wang, GE Vernova Advanced Research Center, US |
| Machine-Learning-Driven Predictive 3D Ramified Foam Fabrication and Mechanistic Understanding
Y. Liu, The University of texas at austin, US |
|
| 4:00 | AI for Materials Design - Posters | |
| Automated Synthesis and Precision Growth of 2D Materials for Next-Generation Electronics
M.A Vignon, Analyticaxpress, US |
| A Review of AI-Enhanced Materials for Sustainable Energy Systems
H. Saha, A.K. Saha, Haldia Institute of Technology, IN |
| Model Based Iterative Reconstruction (MBIR) X-Ray computed tomography for nano-micro characterization of complex biological structures
A.F.D. Ornelas, J. Lipp, C. Bouman, G. Buzzard, M. Ostendorf, V. Roman, J. Roth, D. Kisailus, S. Farajollahi, AFRL, US |
| 4:00 | Innovations for Decarbonizing Steel Production - Posters
|
| Using AI to Increase Quality and Cost-Effectiveness of U.S. Made Steel
R. Lee, D. Conley, RJ Lee Group, Inc, US |
|
| 4:00 | AI Innovations - Posters | |
| Harnessing AI: Bridging the Gap Between Innovators and Federal Grant Opportunities
K.M Cooper, V Palermo, Grant Management Associates, US |
| Cybersecure Smart Activated Mesh solution for animal detection & deterrence in a power substation based on AI
S. Chanda, R. Dubey, D. Patel, S. Vijay, SAM Analytic Solutions LLC., US |
| Driving Innovation with User Experience and Design: Uncovering Obstacles in Organizational Processes
Z. Yang, M. Karry, T-W Su, M. Hall, University of California, Santa Cruz, US |
| Robust and Portable Performance Datasets for HPC with Generative AI
M. Ali, A. Qasem, Texas State University, US |
| Large Language Models for High-Performance Computing
Z. Sadman, A. Qasem, Texas State University, US |
| Dynamic Data and AI driven Healthcare Billing Audit Framework
T. Ekin, L. Shaw, Texas State University, US |
| RoadRating: Realtime Safety Scoring of the Travel Paths
S. Das, Texas State University, US |
| Task-specific Evaluation for Biomedical Large Language Models (LLMs) for the HealthCare Industry
A. Dutta, Texas State University, US |
| Generative AI-Powered Synthetic Clinical Data for Accelerating AI Innovations in Clinical Workflow
F. Akkawi, M. Schumar, S. Kakade, S. Popuri, Northwestern University, US |
| Sustainability Intelligence: Transforming Corporate Risk Assessment and Detection with Generative AI
D. Wadhwa, S. Kakade, F. Akkawi, Northwestern University, US |
| Wednesday June 11 |
|
| 9:00 | AI Innovations | |
| Session chair: Jan-Willem Handgraaf, Siemens, US |
| From Imagination to Experimentation to Full Scale Adoption: How to ensure a successful Generative AI Project
J. Hogan, SHI International Corp., US |
| Real-Time Data, Real-Life Impact: Halite Medical's AI Solution for Emergency Care
R. Wong, D. Sharrock, S. Hickey, Halite Medical, US |
| LifeLensAR: AI-Driven Voice Recognition and Assisted Reality for Streamlined Nursing Documentation in Long-Term Care
C. Lewis, A. Lehman, M. Schaffner, I. Wang, A. Andoy, 360 Social Impact Studios, US |
| From Digital Thread to Physical Thread: Traceability through procurement, manufacturing, integration, and deployment
E.W. Dodd, Cofactr, US |
| Teamo – a personalized AI assistant designed to revolutionize AI adoption at scale
T. Eftimov, B. Votanova, TeamLift, US |
| Generative AI to Accelerate Manufacturing Supply Chains
Z. Tschirhart, J.M. Rozmus, Sustainment, US |
| *STUDENT ABSTRACT WINNER* Transforming Healthcare with AI: Security and Privacy in Remote AI-Enabled Stethoscopes
S. Kumar, W. Glenewinkel, A. Singh, Texas A&M University, US |
| A Physics Informed Gaussian Process Model for Real-time Simulation of Tire-Terrain Interactions
S.A. Kowshik, A. Srinivasa, J.N. Reddy, Texas A and M University,, US |
| Scaling AI with Confidence: Secure and Private Industrial Implementation
D. Himanshu, S. Satish, Rightchoice Services LLC, US |
|
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