HKUST Industry Engagement Day Plus - Digital and AI-Driven Materials Innovation

9:30am - 5:30pm
Padma and Hari Harilela Lecture Theater (LT-C), HKUST Campus

Supporting the below United Nations Sustainable Development Goals:支持以下聯合國可持續發展目標:支持以下联合国可持续发展目标:

Co-organized by the Office of Knowledge Transfer and the Department of Chemistry, this premier industry-academic forum brings together leading experts, pioneering technologists, and academic innovators to explore how artificial intelligence is transforming materials science.

Attendees will:

  • Gain insights into how AI and computational tools are transforming materials discovery, from atomic-scale simulations to industrial applications
  • Learn from leading experts across academia and industry, including speakers from industry, R&D centers and academics
  • Explore real-world case studies on AI-enabled innovations in semiconductors, OLEDs, specialty polymers, and pharmaceutical formulations
  • Engage in discussions on the future of materials informatics, high-throughput screening, and machine-learned force fields
  • Network with scientists, engineers, and innovators driving the next wave of digital and AI-driven materials research

Through keynote presentations, technical talks, and a panel discussion, participants will gain actionable insights into how AI is accelerating materials innovation across sectors—from lab discovery to commercial impact.

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Speakers / Performers:
Prof. Tim Cheng
Vice-President for Research and Development, HKUST
Speakers / Performers:
Prof. Jianzhen Yu
Head and Chair Professor, Department of Chemistry, HKUST
Speakers / Performers:
Dr. Michael Rauch
Associate Director of Materials Science, Schrödinger Inc
Speakers / Performers:
Dr. Nobuyuki N. Matsuzawa
Director, Panasonic Corporation
Speakers / Performers:
Prof. Guanhua Chen
Chair Professor, Department of Chemistry, HKU
Speakers / Performers:
Dr. Ziyang Gao
Senior director, Hong Kong Microelectronics Research and Development Institute
Speakers / Performers:
Dr. Simon Elliott
Senior Research Leader, Schrödinger Inc
Speakers / Performers:
Dr. Wei Xu
Research Scientist, TCL AI Lab
Speakers / Performers:
Prof. Jinglei YANG
Professor, Department of Mechanical and Aerospace Engineering, HKUST
Speakers / Performers:
Dr. Atif Afzal
Principal Scientist, Schrödinger Inc
Speakers / Performers:
Dr. Sudharsan Pandiyan
Principal Scientist, Schrödinger Inc
Language
English
Recommended For
Alumni
Faculty and staff
General public
HKUST Family
PG students
UG students
Organizer
Office of Knowledge Transfer
Registration
Contact

Ms Renee Lo at reneesylo@ust.hk

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