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20092024

Research activity per year

Personal profile

Personal profile

Professor Qian Kun
Disciplines: Computer Science and Technology, Biomedical Engineering
Direction: Computer Hearing, Emotional Computing, Artificial Intelligence Medicine
E-mail :qian@bit.edu.cn
Office Address: 405, Building 7, Beijing Institute of Technology, No.5 Zhongguancun South Street, Haidian District, Beijing
Qian Kun, professor and doctoral supervisor of Beijing Institute of Technology, will be selected into the "National High-level Talent Program (Youth Project)" and the "Special Young Scholars" support Program of Beijing Institute of Technology in 2021. He received his Ph.D. from the Technical University of Munich, Germany, where he studied with Professor Bjorn W. Schuller, a leading expert in the field of emotional computing and computer hearing. From 2018 to 2021, he engaged in research in the field of artificial intelligence medicine in the University of Tokyo, Japan, and was selected as a global Famous Young Scientist Foundation - "Special Researcher for Foreigners of the Japan Academic Promotion Association" project (success rate: 10.6%), has published more than 120 papers (80 first author/corresponding author), and 41 journal papers indexed by SCI. Including IEEE Signal Processing Magazine, IEEE IoTJ, IEEE T-ITS, IEEE J-BHI, IEEE T-ASE, IEEE T-BME, ABME, JASA and other international top journals in the field, cumulative IF-2022: 258.0, maximum single paper IF-202:14.9 (sole first author), more than 2,100 Google Academic citations, and Google Academic H-Index of 27. Dr. Qian is currently an IEEE Senior Member, IEEE Transactions on Affective Computing (JCR Q1, IF-2022: 11.2), Editorial Board member of journals such as Frontiers in Digital Health and BIO Integration, Visiting Professor of Silk Road Business School in Paris, France, Expert Member of Artificial Intelligence and Big Data Expert Committee of Computer Society of Chinese Scholars in Germany, He has been a reviewer for dozens of top/authoritative journals and international conferences in the field. Dr. Qian maintains deep and good cooperative relations with the world's top universities such as Imperial College London, Technical University of Munich, Germany, and University of Tokyo, Japan. He can recommend outstanding scholars/students of the team to conduct academic visits and joint training. We welcome undergraduate, master and doctoral students who are ambitious, love to explore and willing to study.

Research Interests


Computer Hearing, Emotional Computing, Artificial Intelligence Medicine, Intelligent Signal and Information Processing, Brain Science

Education

October 2014 - November 2018, Technical University of Munich, Germany, Doctor of Engineering, Electrical Engineering and Information Technology
Sep. 2011 to Apr. 2014, Master of Engineering, Signal and Information Processing, Nanjing University of Science and Technology
September 2007 - June 2011, Sichuan Normal University, Bachelor of Engineering, Electronic Information Engineering

Professional Experience

October 2014 - November 2018, Technical University of Munich, Germany, Doctor of Engineering, Electrical Engineering and Information Technology
Sep. 2011 to Apr. 2014, Master of Engineering, Signal and Information Processing, Nanjing University of Science and Technology
September 2007 - June 2011, Sichuan Normal University, Bachelor of Engineering, Electronic Information Engineering From August 2021 to now, Professor, doctoral Supervisor, Responsible Professor of Brain Health Engineering, Beijing Institute of Technology
Sep. 2019 - Jul. 2021, Special Fellow for Foreigners, University of Tokyo, Japan
November 2018 - September 2019, University of Tokyo, Japan, Special Research Fellow
January 2018 - March 2018, Visiting Scholar, Carnegie Mellon University, USA
April 2016 - November 2016, Visiting Scholar, Tokyo Institute of Technology, Japan
November 2013 - March 2014, Nanyang Technological University, Singapore, Visiting Scholar

Research Achievement


July 2023, "Establishment and Application of Accurate Diagnosis and Treatment and evidence-based evaluation System for TCM Prevention and Treatment of Chronic Diseases", China Invention Association, First prize (ranked 2nd)
March 2021, Frontiers in Digital Health Journal "Journal Ambassador Award"
November 2020, Zhijiang International Young Talent Fund "Excellent Achievement Award" (Intelligent perception group ranked first)
December 2019, Special Fellow for Foreigners, Japan Association for Academic Promotion

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
  • SDG 13 - Climate Action

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