Dr. Michael Sung

Michael Sung

Chairman, CarbonBlue Innovations

Dr. Michael Sung is a high-tech innovator and entrepreneur, and has started a number of successful ventures in the advanced materials and semiconductor industries. He is the Chairman of CarbonBlue Innovations, a tech transfer platform and investment fund that is focused on connect internationally-sourced innovation to China, particularly in the areas of blockchain, artificial intelligence, electric/autonomous vehicles, Industry 4.0, and semiconductor technologies. Dr. Sung is an active investor as a partner/advisor in a number of venture capital and accelerator funds, through which he is an advisor to numerous startups. He has various partnerships with China ecosystem leaders such as Beijing Zhongguancun and Tsinghua/TUS, where he serves as a technology advisor for their investment committees. Dr. Sung currently has a strong focus investing in and partnering with leading international blockchain companies to connect to China’s Belt and Road and Greater Bay Area initiatives.

Dr. Sung has a strong expertise in intellectual property strategy, technology transfer, and high-tech commercialization. He is faculty at the Hong Kong University of Science and Technology, where he teaches and drives various initiatives related to high-tech entrepreneurship and innovation. He served as the former Director for the Center for Industry Engagement and Associate Director of the Entrepreneurship Center at HKUST, and now leads the entrepreneurship initiatives for the MBA program as well as acts as an academic director and instructor for the Executive Education/EMBA programs for the School of Business and Management.

Dr. Sung serves in various advisory roles for the HK, Taiwan, and Shenzhen governments on international tech transfer policy and building innovation ecosystems. He is a principal founder of the new World Blockchain Alliance, a new industry consortia focused on connecting the world’s leading blockchain companies to China’s Belt and Road initiatives. He is also founding board member for the Technology Innovation Council of Asia, a think tank focused on providing enlightened policy recommendations for regulating disruptive technologies to Asian governments including autonomous vehicle, data privacy, ethical AI, and cryptocurrency/ICO legislation. Dr. Sung also serves as the chair of the steering committee for MIT Tech Review’s Emtech HK Conference.

While in graduate school, Dr. Sung was the principal investigator for the influential Wearable Computing Group at the MIT Media Lab, where his colleagues have gone on to spearhead projects such as Google Glass, Samsung Gear, and Apple Watch. Dr. Sung is a pioneer in integrating the fields of AI and IOT as an early innovator of wearable continuous physiologic sensing and health monitoring technologies. Dr. Sung was one of the first to anticipate the quantified-self movement by using big data machine learning techniques to develop predictive human behavior models from long-term multi-modal context and physiologic data. He pioneered the use of non-invasive sensing technologies to develop predictive systems for applications ranging from triaging army rangers for hypothermia (with the U.S. Army Research Institute for Environment Medicine) to developing the world’s first objective quantitative measure and predictive model for patients with depression (partnering with Massachusetts General Hospital and Harvard).

A regular invited speaker at various innovation conferences and technology forums, Dr. Sung is the author of over 10 patents & 80 conference/journal papers. He has received various awards for technology entrepreneurship including Jiangsu Province’s Innovation and Entrepreneurship Talent People Program and MIT Enterprise Forum’s Most Visionary Technology Award. One of his projects on large-scale graphene manufacturing was recently selected for Google’s Solve for X Prize, the first project ever selected from China/HK. Prof. Sung received his Ph.D. in EECS while working at the MIT Media Lab/Computer Science and Artificial Intelligence Laboratory and also has a graduate financial engineering degree from MIT Sloan Business School.

2018