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Vice President, Taiwan Nurses Association
With academic training from the University of Washington, the University of Maryland, and National Taiwan University, Dr. Fan brings a strong combination of clinical expertise, academic leadership, and strategic vision. Beginning her career in critical care nursing, she has long championed the integration of practice, research, and education to advance health professions training.
As President of CGUST, Dr. Fan is leading the transformation of healthcare education through AI-enabled learning, digital innovation, simulation-based training, and competency-based curriculum design. Under her leadership, CGUST is preparing future-ready professionals for the rapidly evolving era of intelligent and human-centered care.
Her journey into computing began at age seven, when she helped her father build a computer, igniting a lifelong passion for technology. This early curiosity led her to pursue a PhD at Massey University, where she developed a groundbreaking hybrid machine translation system for English and Persian, combining statistical and linguistic techniques to improve translation accuracy.
As an Associate Professor at Auckland University of Technology, Mahsa blends academic leadership with real-world impact. She has supervised over 70 research projects and authored more than 80 publications across AI, machine learning, cybersecurity, and natural language processing. Her recent work includes the development of the Scaffolded AI Literacy (SAIL) framework for education and advancements in neural networks for sound event detection.
Melissa Law is the APJ Partnerships Manager for the Intel Skills for Innovation Program, where she drives technology integration in education. With over eight years of experience, she has spearheaded the implementation of tech-driven solutions in classrooms, creating dynamic and innovative learning experiences. A passionate EdTech advocate, Melissa has led numerous workshops for educators and students, empowering them to harness technology for enhanced learning.
She co-created the Intel AI for Youth program, making AI accessible to students, and has developed cutting-edge initiatives like Junior AI Explorer and AR/VR-based learning modules. Her work leverages immersive technologies to transform abstract concepts into engaging, hands-on experiences. With a background in computer science, Melissa is dedicated to making learning fun, inclusive, and future-ready.
Director of Taipei CityScience
Michael leads the MIT Media Lab City Science future mobility research focusing on Mobility-On-Demand, Lightweight Autonomous Vehicles, and new mobility modes. Michael manages a team of experts and scientists with diverse backgrounds to explore how transportation innovations will reshape our future mobility landscape. He is the inventor of the MIT Persuasive Electric Vehicle (PEV), a shared-use, lightweight autonomous vehicle that aims to solve last-mile transport and freight logistics in dense urban areas. Michael’s work received awards from the Buckminster Fuller Challenge, IF, and Core77 design awards and was featured by The Discovery Channel, Der Spiegel, and The New York Times, and was displayed in exhibitions, conferences, and summits worldwide.
Michael received his Ph.D. degree from MIT Media Lab and two master’s degrees from MIT: a Master of Science in Media Arts and Sciences program and a Master of Science in Architecture Studies with a focus on urban design. Before MIT’s education, Michael received a Bachelor in Architecture from Feng Chia University in Taiwan.
Michael’s other inventions include the RoboScooter, a lightweight electric folding scooter designed as a clean, green mobility solution, and GreenWheel, an electrical propulsion system that integrates a lithium-ion battery pack with a DC motor that can be attached to existing bicycles.
Associate Professor (courtesy) of the Department of English and Communication at The Hong Kong Polytechnic University
Chair of the Hong Kong Teaching Excellence Alliance