INDUSTRIAL ARTIFICIAL INTELLIGENCE FORUM
TUESDAY, NOVEMBER 28, 2023
7:00 AM Registration, Breakfast & Networking
8:00 AM HOST WELCOME AND INTRODUCTION
Dean, A. James Clark School of Engineering
Dean, College of Computer, Mathematical, and Natural Sciences
Chair, Mechanical Engineering Department
8:30 AM INTRODUCTION TO INDUSTRIAL AI CENTER AND DATA FOUNDRY
Director, Industrial AI Center, Clark Distinguished Professor
Mechanical Engineering
9:00 AM GOVERNMENT PERSPECTIVES ON AI
Representatives from governmental and non-partisan, non-profit organizations will share their perspectives, challenges, opportunities initiatives, and progress in AI. Specifically, attendees can expect to hear how these agencies and organizations lead, support, and guide the development and adoption of AI technologies and open-source datasets for accelerated productivity and resilience, as well as driving standards, education, and workforce development.
Moderator: Prof. Deb Niemeier, UMD and Prof. Jay Lee, UMD.
10:00 AM GLOBAL PERSPECTIVES ON AI DEVELOPMENT AND POLICY
11:00 AM BREAK
11:15 AM INDUSTRY PERSPECTIVES ON INDUSTRIAL AI
Industrial leaders will speak about their unmet needs and major challenges in applying AI to real-world applications toward smarter, greener, and more resilient performance.
Seiji Tsutsumi, JAXA Japan
Koji Wakimoto, Mitsubishi Electric, Japan
Daniel Min Hong, Samsung Electro-Mechanicc Co., S. Korea.
Kristyn Slater, NVIDIA (virtual)
12:30 PM LUNCH AND NETWORKING
1:45 PM INDUSTRIAL RESEARCH HIGHLIGHTS IN INDUSTRIAL AI
Industry and national leaders will address the needs of AI development and deployment in a systematic, disciplinary, and sustainable way. Specifically, attendees can expect to hear about the talent gaps and priorities to accelerate AI development, training, and workforce development.
3:30 PM BREAK
3:45 PM UMD INSTITUTES AND CENTERS RESEARCH PROJECT PRESENTATION
Presentations from University of Maryland Research Institutes and Centers on AI Related Research:
Moderator: Prof. Ming Lin, UMD
4:45 PM-5:30 PM CRITICAL DISCUSSIONS ON AI SAFETY AND NATIONAL SECURITY ECOSYSTEM, AND OTHER ISSUES
Hal Daumé, NSF Institute for Trustworthy AI in Law & Society (TRAILS)
Johnson S. Chiang, TECRO, Washington, DC
Open Q&A
5:30 PM-7:30 PM
POSTER SESSION/EXHIBITS & RECEPTION AND NETWORKING
Highlights of diversified AI research for industrial systems with posters.
Exhibits from different companies to showcase AI platforms, products, and technologies including NVIDIA Omniverse, Springer, Astro Design, etc.
INDUSTRIAL ADVISORY BOARD MEETING
(closed-door meeting for Industrial AI Center members, pending members, and invited guests )
WEDNESDAY, NOVEMBER 29, 2023
7:00 AM REGISTRATION, BREAKFAST & NETWORKING
8:00 AM WELCOME REMARK
Associate Dean for Research, A. James Clark School of Engineering
8:15 AM INTRODUCTION TO INDUSTRIAL AI CENTER RESEARCH: IMPACTS AND ROADMAP
Founding Director, Center of Industrial AI Center Professor Jay Lee will provide an overview of the key areas in manufacturing, semiconductor, energy/electrification, and healthcare which the center has applied industrial AI technologies to drive impact for its members.
Jay Lee
Director, Industrial AI Center, Clark Distinguished Professor
Mechanical Engineering
8:30 AM INDUSTRY MEMBER PERSPECTIVES ON AI
Representatives from the industry will share their perspectives, challenges, opportunities, initiatives, and progress in Industrial AI. Attendees can expect to hear from platform providers, solutions providers, OEMs, and end-users.
Fei Li, Applied Materials
Yannis Chen, ASE Group
Joseph Wang, Foxconn Interconnect Technology (FIT)
Masahiro Sumiya, Hitachi High-Tech
Takanobu Minami, Komatsu
Joe Sanders, Mazak
Koji Wakimoto, Mitsubishi Electric
Philippe Téléga,Poclain France
Jongkyu Shin, Samsung Electro-Mechanicc Co., S. Korea
Shin Lo Chia, Sotera
Edward Baumann/Connor Cabrey, Trident Systems
Radu Pavel, TechSolve
10:30 AM BREAK
10:40 AM INDUSTRIAL AI CENTER PROJECT PRESENTATIONS & DISCUSSIONS
Industrial AI research project presentation in the areas of data quality, transfer learning, domain adaption, topological graph analytics, large knowledge model, etc. INDUSTRY AI RESEARCH PANEL Q&A (TBD)
Large Knowledge Model for Industrial AI/ML
Transfer Learning and Domain Adaptation
Review of Industrial AI Methodology for PHM Data Challenge Competition
Data Quality Evaluation for ML/Industrial AI
Topological Analysis and Analytics for Complex Industrial Systems
NIST Project on Intelligent Ball Screw Metrology.
PHM Asia Pacific Data Challenge 2023 (Won 1st place Data Provide by JAXA)
12:00 pm NOON LUNCH
1:00 PM FACULTY AI RESEARCH PRESENTATIONS & DISCUSSIONS
Selected ongoing industrial AI research projects will be presented with case studies from the University of Maryland, College Park.
Moderator: Prof. Peter Sandborn, UMD
Professor Yiannis Aloimonos, Computer Science
Professor Vikrant Aute, Mechanical Engineering, Director of the Center for Environmental Energy Engineering
Professor John Baras, Electrical and Computer Engineering
Professor Nikhil Chopra, Mechanical Engineering
Professor Peter Chung, Mechanical Engineering
Professor Mark Fuge, Mechanical Engineering
Professor Steven A. Gabriel,Mechanical Engineering.
Professor Teng Li, Mechanical Engineering.
Professor Ichiro Takeuchi, Materials Science and Engineering
Professor Miao Yu, Mechanical Engineering
2:45 PM RESEARCH PRESENTATION FROM PARTNERS AND COLLABORATORS
Academia leaders will address the needs of AI development and deployment in a systematic, disciplinary, and sustainable way. Specifically, attendees can expect to hear about the talent gaps and priorities to accelerate AI development, training, and workforce development
4:00 PM FEEDBACK SESSION
Industry members and invited guests will provide feedback about the proposed research areas and discuss the priorities for research and education.