Hui Liu

He studied electrical engineering at the Technical University of Berlin (Dipl.-Ing., 2009) and information and communication systems at Shanghai Jiao Tong University (M.Sc., 2011). Since 2016, he has been a researcher for biosignal processing, human activity recognition, virtual reality, music information retrieval, and multidisciplinary application of AI at the Cognitive Systems Lab of the University of Bremen, where he received my Ph.D. (2021). He is co-responsible for four multipartner projects: Arthrokinemat (intelligent knee bandage), IntEL4CoRo (interactive learning for cognitive robotics), NF-BWB (young talent development), and SEED (reflecting artificial biosignals for human robot interaction). He developed the first smart knee bandage that recognizes users' activities in real-time (Best Student Paper, BIODEVICES 2019) and proposed Motion Units, an activity modeling method with interpretability, generalizability, and expandability, rationalizing kinesiology and speech recognition knowledge into human activity research (2021). Three papers on high-level feature design (co-author), music signal processing (first author), and EMG-based AUR (co-author) were/are the Best Paper Finalists by BIOSIGNALS 2022, SIGMAP 2022, and BIODEVICES 2025, respectively. Eight articles for which he is the single first or/and corresponding author were marked as "Highly Cited Paper" (top 1%) and "Hot paper" (top 0.1%) by World of Science. He collected and released the 19-channel, 22-activity, 20-subject human activity dataset CSL-SHARE (2021). A dataset of ECG acquisition artifacts called sensORder was published under my guidance (2024). He received the following third-party funding and awards: the Erasmus Teaching Mobility Award (2018), the CAMPUSiDEEN Public Choice Award for advanced sensing and recognition technology (2022), and the YERUN Research Mobility Award (2022/2023). He has served as Co-Chair, Co-PC, Co-TPC, AC, or Publicity Chair for over ten important international conferences, including 33rd ICANN, 17th BIOSIGNALS, and 7th ABC. He is an editorial member of several international journals, and was awarded Sensors 2023 Outstanding Reviewer.

Recently, his international collaboration has expanded to AI for energy efficiency and smart building, assistance tool for amateur singers and exoskeletons, among others, for which a considerable number of topics are carried out in parallel. Currently, he is a chief expert invited by Guodian Nanjing Automation Co., Ltd., and a guest chief professor invited by Xi'an University of Architecture & Technology.