IEEE CASE Best Healthcare Automation Paper Award (Sponsored by Pinetree Health Technologies Co., Ltd)

About the Award

Description: The award is given annually to the author(s) of a paper presented at the IEEE International Conference on Automation Science and Engineering (CASE) that contributed to the notable advancement in Best Healthcare Automation. 

Established: 2019

Prize:  A single award of $1,000 to be shared by all authors and certificates for individual authors. If there are multiple authors of a winning paper, they will share the $1,000 prize equally. In the exceptional case that two papers are deemed worthy, the authors of each paper will share a $500 prize equally.

Funding: The award is sponsored by Pinetree Health Technologies Co., Ltd for a period of 4 years (2021-2024). If funding becomes unavailable, the award will not be given.

Eligibility: There are no restrictions as to organization, nationality, race, creed, sex, or age, except for the acceptance of a paper and its presentation at IEEE CASE. There is no requirement for IEEE membership. Eligibility and Selection process shall comply with procedures and regulation established in IEEE and Society governing documents, particularly with IEEE Policy 4.4 on Awards Limitations.

Basis for Judging: The award is given annually. A selection committee will be appointed by the CASE Awards Committee with members who have appropriate expertise in the field of Healthcare Automation. Papers are judged based on technical merit, originality, relevance and potential impact on the Healthcare Automation field, clarity of the written paper, and quality of the conference presentation.

Presentation: The award will be announced and presented at the same annual IEEE CASE conference.

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Winners of this Award

 

2023
Yuqin Guo, Rongzheng Zhang, Wanghongjie Qiu, Harry Asada, Fang Wan, and Chaoyang Song
"Underwater Intention Recognition Using Head Motion and Throat Vibration for Supernumerary Robotic Assistance"

2021
Yiruo Lu, Yongpei Guan, Xiang Zhong, Jennifer Fishe, and Thanh Hogan
"Hospital Beds Planning and Admission Control Policies for COVID-19 Pandemic: A Hybrid Computer Simulation Approach"

 

2020
Not Presented in 2020