Calculated based on number of publications stored in Pure and citations from Scopus
20092024

Research activity per year

Personal profile

Personal profile

Name: Wei Shi Gender: Male Date of birth: June 1986.< br> Title: Professor Position: Deputy Secretary of the Party Committee, Vice President Highest education: Doctor
Discipline: Control Science and Engineering Intelligent Perception and Motion Control
Talent Program: National Youth Talent Office: 6#212
E-mail: daweishi@bit.edu.cn Contact: 010-68918802
Address: Automation Institute, No.5 Zhongguancun South Street, Haidian District, Beijing
Type of Supervisor: Doctoral Supervisor

Research Interests

Research Direction
Analysis and design of complex sampling control systems (and applications in biomedical, robotic and industrial processes), including:
1. Neuromorphic Machine learning and Signal Processing
2. Dynamic sensing and closed-loop control of physiological indicators
3. Motion planning and scheduling of multi-robot system
Details see personal web page: https://dshilab.github.io/dshi/ < br > Postdoctoral, doctoral, master's and undergraduate applicants who are interested in our research work are welcome to contact me by email.

Education

Education and Work Experience
2004.09-2008.06 Beijing Institute of Technology Department of Automatic Control Electrical Engineering and Automation Bachelor 2008.09-2010.08 Control Science and Engineering, School of Automation, Beijing Institute of Technology 2010.09-2014.08 PhD in Control Systems, Department of Electrical and Computer Engineering, University of Alberta 2014.12-2017.01 Associate Researcher, School of Automation, Beijing Institute of Technology
2017.02-2018.07 Postdoctoral Fellow, John A. Paulson School of Engineering and Applied Sciences, Harvard SEAS, USA
2018.02-2018.07 Adjunct Investigator, Sansum Diabetes Research Center
2018.07-present Professor and Doctoral Supervisor of School of Automation, Beijing Institute of Technology

Professional Experience

Education and Work Experience
2004.09-2008.06 Beijing Institute of Technology Department of Automatic Control Electrical Engineering and Automation Bachelor 2008.09-2010.08 Control Science and Engineering, School of Automation, Beijing Institute of Technology 2010.09-2014.08 PhD in Control Systems, Department of Electrical and Computer Engineering, University of Alberta 2014.12-2017.01 Associate Researcher, School of Automation, Beijing Institute of Technology
2017.02-2018.07 Postdoctoral Fellow, John A. Paulson School of Engineering and Applied Sciences, Harvard SEAS, USA
2018.02-2018.07 Adjunct Investigator, Sansum Diabetes Research Center
2018.07-present Professor and Doctoral Supervisor of School of Automation, Beijing Institute of Technology

Research Achievement


Scientific Research Awards
1. Chinese Command and Control Society Young Scientist Award 2021
2. 2016 Automatica Outstanding Reviewer
3. 2015 Zhang Siying (CCDC) Outstanding Youth Paper Nomination Award
Teaching Achievements
Talent Training:
1. Best Student Paper Award and Best Three-Minute Talk Award, 2021 IEEE International Conference on Industrial Cyber-Physical Systems (Victoria, Canada), Instructor
2. Second Prize of the National Mathematical Contest in Modeling for College Students (instructor, 2 items), 2021
3. American College Students Mathematical Contest in Modeling F Award (Instructor, 1), 2020
4. Second Prize of the National Mathematical Contest in Modeling for College Students (instructor, 2 items), 2019
5. American College Students Mathematical Contest in Modeling H Award (Instructor, 1), 2019
6. Artificial Pancreas: Precise blood sugar Control, Beijing Challenge Cup Third Prize (Instructor), 2019
7. BITAPS: Precision Blood Glucose Control System, Grand Prize of "Century Cup", Beijing Institute of Technology, 2019

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy

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