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Ten University of À¶Ý®ÊÓƵ researchers are receiving seed funding as part of a joint venture between À¶Ý®ÊÓƵ and the Ìý(±á°­±«³§°Õ).

Through the Sponsorship Scheme for Targeted Strategic Partnerships (SSTSP), À¶Ý®ÊÓƵ is contributing $150,000 and HKUST is providing $150,000. The SSTSP program supports research in salient areas of engineering and computer science to further research in areas such as: internet of things, robotic vehicles, and brain-computer interactions. The goal of SSTSP is to further ground-breaking discoveries in prominent areas of knowledgeand deepen the À¶Ý®ÊÓƵ-HKUST partnership. The SSTSP recipients from À¶Ý®ÊÓƵ and HKUST include:

Omid Abari (Computer Science) and Qian Zhang (HKUST): mmWave networks for the Internet-of-Things (IoT)

Zhongwei Chen (Chemical Engineering) and Minhua Shao (HKUST): Development of high performance solid state lithium batteries

Ning Jiang (Systems Design Engineering) and Yiwen Wang (HKUST): Deep learning for sensory-motor rhythm in electroencephalogram and its applications in brain-computer interfaces

Na Young Kim (Electrical and Computer Engineering) and Gyuboong Jo (HKUST): HKUST-UW collaborative research program in quantum science and technologies

John McPhee (Systems Design Engineering) and Ling Shi (HKUST): HMI modeling and optimization: Exoskeletons/Exo-Prostheses

Sriram Narasimhan (Civil and Environmental Engineering), Ilias Dimitrakopoulos, and Lambros Katafygiotis (HKUST): Identification of dynamic characteristics of bridges using robotic vehicles

Ozsu Tamer (Computer Science) and Lei Chen (HKUST): Efficient dynamic distributed graph processing

Justin Wan (Computer Science) and James She (HKUST): Efficient computations of deep-learning analytics on user shared photos for user connection discovery

Xiaosong Wang (Chemistry) and Ben Zhong Tang (HKUST): Investigation of the role of hydrophobic effect in self-assembly by aggregation-induced-emission luminogens

Shunde Yin (Civil and Environmental Engineering) and Jidong Zhao (HKUST): Multiscale borehole breakouts modeling considering thermo-hydro-mechanical coupling