Awards from Pitching Corner by ABIC
Two faculty members and their teams received awards from the Pitching Corner event organised by The Advanced Biomedical Instrumentation Centre (ABIC) at the University of Hong Kong (HKU).
Awardees’ list:
Supervisor: Professor Anderson H.C. Shum, Department of Mechanical Engineering
Award: Professional Judges' Choice Award
Project title: Saliva Mental: Dog Wellness Assessment Ball
Team members: Dr Sammer Ui Hassan, Dr Haisong Lin, Dr Qiaoyi Wang, Dr Ziyu Han and Mr Chi Song.
Supervisor: Professor Kevin K.M. Tsia, Department of Electrical and Electronic Engineering
Project title: Image-based Single-cell Screening Assay Platform
Award: Most Favorite Pitching Award
Team members: Dr Dickson M.D. Siu, Dr Bob M.F. Chung and Dr Kelvin C.M. Lee.
For more details: https://www.hku.hk/press/news_detail_27097.html
Teaching Development and Language Enhancement Grant (TDLEG) 2022 - 25 – AI Literacy
Two faculty members from the Department of Computer Science received the Teaching Development and Language Enhancement Grant (TDLEG) 2022 - 25 – AI Literacy. The grant aims to enhance teaching quality and language proficiency of students.
Dr Dirk Schnieders, Department of Computer Science
Project title: Student-Led Seminar Series on Generative AI: Navigating Challenges and Maximizing Utility
Dr TW Chim, Department of Computer Science
Project title: Applying Artificial Intelligence to help students self-learn new programming languages
Teaching Development Grant (TDG) Award 2022 – 25
Two faculty members received the Teaching Development Grant (TDG) Award 2022 – 25, which is intended to support projects and activities that will have an impact on the strategic development and promotion of Teaching and Learning.
Professor Ray Zhong, Department of Industrial and Manufacturing Systems Engineering
Project title: Hands-on Teaching and Learning for Engineering Education through an Online Facilities Sharing Platform
Professor Xiao Li, Department of Civil Engineering
Project title: Enhancing Learning Experiences for Human-robot Collaboration (HRC): Pedagogical Innovations with Intelligent Modular Integrated Construction Assembly Robots (i-MARs)