Dr. Hui Liu

Hui Liu

Enrique-Schmidt-Str. 5
Cartesium, Room 2.14
28359 Bremen

+49(0)421-218-64278

hui.liuprotect me ?!uni-bremenprotect me ?!.de

0000-0002-6850-9570

Google Scholar

 

I 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, I have been a researcher for biosignal processing, human activity recognition, virtual reality, and music information retrieval at the Cognitive Systems Lab of the University of Bremen, where I received my Ph.D. (2021). I am co-responsible for three multipartner projects: Arthrokinemat (intelligent knee bandage), IntEL4CoRo (interactive learning for cognitive robotics), and NF-BWB (young talent development). I 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). I collected and released the 19-channel, 22-activity, 20-subject human activity dataset CSL-SHARE (2021). My two papers on high-level feature design (co-author) and music signal processing (first author) were the Best Paper Finalists (BIOSIGNALS 2022 / SIGMAP 2022). I 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). I served as a PC for BIOSIGNALS 2024, and will be AC of ICANN 2024 and CEII 2024. I am an editorial member of several international journals, and was awarded Sensors 2023 Outstanding Reviewer.

Recently, my international collaboration has expanded to include research in singing audio processing, orthotics, and exoskeletons, for which a considerable number of topics are carried out in parallel. I always eagerly await new interdisciplinary and cross-border cooperation in various fields!


Forschungsinteressen und Schlüsselwörter

Research Keywords
Schlüsselwörter

Hui's supervised students and research assistants (partially) 2023
Hui's supervised students and research assistants (partially) 2023

Meine besten wissenschaftlichen Assistenzen und Studierenden (HiWi/BA/MA/Gäste)

Yale Hartmann
Research assistant 2018 — 2020 (HAR); Bachelor thesis 2019 (full score); Master thesis 2020 (full score) → Ph.D candidate @ CSL
Anindya Chowdhury
Research assistant 2019 (statistical models) → Data Analyst @ Fujifilm Europe, Ratingen
Lennard Mai
Bachelor thesis 2019 (automatic segmentation of motion data) → Junior Data Engineer @ hmmh, Bremen
Timo Urban
Bachelor thesis 2019 (Android APP development for biosignal acquisition, full score) → Software engineer @ TK, Hamburg
Kilian Luedemann
Bachelor thesis 2021 (RNN-based fall detection using IF videos) → Software engineer @ RealCore Group, Essen
Tobias Dellert
Bacheler thesis 2022 (HRV and inertial signals for real-time workload monitoring in AWS) @ Tbilisi, Georgia → Data Engineer @ WearHealth, Bremen
Isabel de Almeida Curioso
Master thesis 2022 (missing data on clinical contexts, 20/20, best of the year) @ Lisbon, Portugal → Researcher @ Portugal
Shiyao Zhang
Research assistant since 2022 (artifact recognition during biosignal acquisition; research group convenor)
Steffen Lahrberg
Bachelor thesis 2021 (cross-channel features for direction distinguishment in HAR, full score)
Wei Wang
Master thesis 2022 (subsequence search for automatic heart sound segmentation) @ Hannover → IT application developer @ Bosch, Eisenach
Daniel Faustino de Noronha Osório
Ph.D. thesis 2023 (pervasive and remote sensing in cardiovascular disease assessment) @ Lisbon, Portugal → Senior Engineer @ PLUX wireless biosignals SA
Jonas Boule
Research assistant since 2023 (EEG analysis; EEG and inertial data fusion for HAR)
Romina Razeghi Oskouei
Research assistant since 2023 (EMG signal acquisition and processing)
Ferdinand Rohlfing
Research assistant since 2023 (ML for EMG-based action unit recognition)
Anantha Sripada Abhinav Veldanda
Guest research scholar & Bachelor thesis 2023 (real-time action unit recognition) @ Goa/Bremen (Grade A) → Engineer @ India
Ciwan Gülpinar
Bachelor Thesis 2023 (Biosignals in VR) → Master student @ Uni Bremen
Johann Joachim Keuneke
Graduation research in progress (multimodal sensors in mobile phone)
Daniel Ott
Bachelor Thesis 2024 (GUI design and user experience analysis for singing assistance, sehr gut)
Hasanur Jaman Seam
Graduation research in progress (mobile phone-based HAR)
Hannes Wehrmann
Graduation research in progress (HAR-based real-time sonification during sports)
Rakibul Islam
Graduation research in progress (GUI design and usability validation of self-similarity-based automatic time-series analysis)
Thorben Lorenzen
Master thesis 2024 (EMG-based piano playing finger recognition) → Data engineer @ München
Leon Flaack
Bachelor thesis 2024 (LSTM-based main melody channel detection from MIDI) → Exchange @ Tokyo
Jiumeng Chen
Graduation research in progress (foot activity recognition)
Joel Warnken
Graduation research in progress (singing pitch detection and intonation training)
Mohamad Asif Siddiqui
Graduation research in progress (outlier detection benchmark)
Mohamad Tofayel Ahmed
Graduation research in progress (regression benchmark and AI-based correction of fuel cell aging model)
Arthur Belousov
Graduation research in progress (singing difficulty evaluation for individual songs)
Aklima Akter
Graduation research in progress (advanced data processing for Wi-Fi-based HAR)
Yvo Muslukus
Research assistant since 2023 (ML for EMG-based action unit recognition)
Alenna Kha
Graduation research in progress (melody-based automatic harmonization)
Robin Kuri
Graduation research in progress (from Mozart dice towards universal dice)

BBDCB23 Foto
NF-BWB (Bremen Big Data Challenge Basic)

Forschungsprojekte


BIODEVICES 2019 (Best Paper, Student Author) / CAMPUSiDEEN 2022 (Public Choice Award) / KIT Adaptive Systems Talks 2022 / MindDay 2021
BIODEVICES 2019 (Best Paper, Student Author) / CAMPUSiDEEN 2022 (Public Choice Award) / KIT Adaptive Systems Talks 2022 / MindDay 2021

Akademische Aktivitäten und Beiträge

  • Editor

    • Frontiers in Behavioral Neuroscience

  • Program Chair

    • BIOSIGNALS 2024 (in BIOSTEC 2024) – 17th International Conference on Bio-Inspired Systems and Signal Processing (Rome, Italy)

  • Area Chair

    • ICANN 2024  – 33rd International Conference on Bio-Inspired Systems and Signal Processing (Lugano, Switzerland)

    • CEII 2024  – 7th Asia Conference on Cognitive Engineering and Intelligent Interaction, Singapore (Singapore)

  • Session Chair

    • HEALTHINF 2022 (in BIOSTEC 2022) – 15th International Conference on Health Informatics (Wien, Österreich)

    • SIGMAP 2022 – 19th International Conference on Signal Processing and Multimedia Applications (Lissabon, Portugal)

    • BIOSTEC 2023 – 16th International Joint Conference on Biomedical Engineering Systems and Technologies  (Lissabon, Portugal)

  • Peer Reviewer

    • Für 40 Zeitschriften, einschließlich Nat. Commn., Biomed. Signal Process. Control, Geo-Spat. Inf. Sci., Remote Sens., Foods, Front. Physiol., Front. Bioeng. Biotechnol., Front. Med., Physiol. Meas., Phys. Scr., Biomimetics, Smart Cities, and Biosensors.

    • Für verschiedene Konferenzen, einschließlich IEEE BSN and BHI; ACM ICMI, ISWC, and AUTOMOTIVEUI; ITG

    • 2023 Outstanding Reviewer Award of Sensors

    • IOP Trusted Reviewer in recognition of an exceptionally high level of peer review competence

  • Universidade Nova de Lisboa (Lissabon, Portugal)

    • Erasmus-Dozentenmobilität, 2018
  • Verein der CDHAW-Absolventen und Mitglieder der Tongji-Universität (Düsseldorf)

  • BIOSTEC 2019 - 12th International Joint Conference on Biomedical Engineering Systems and Technologies  (Prag, Tschechien)

    • BBDC 2019 - 4th Bremen Big Data Challenge

      • Erfassung, Verarbeitung und Bereitstellung von Big Data
    • Bremen.AI 2019

      • Demonstration der Erkennung menschlicher Aktivitäten in Echtzeit
      • Demonstration einer MR-Spielplattform zur Rehabilitationsunterstützung
    • MindDay 2021

      • Demonstration einer intelligenten Kniebandage
    • KIT Adaptive Systems Talks 2022

      • Eingeladener Workshop-Sprecher
    • CAMPUSiDEEN 2022

      • Preis der Publikumsauswahl

    Lehrveranstaltungen

    • Hot Topics in Sensors and Human Activity Research

      • Donnerstag 14:00 – 16:00

    • Biosignale und Benutzerschnittstellen


    Sprechzeiten

    • Allgemeine Sprechstunde: Dienstag 16:00 - 18:00

    • Oder nach vorheriger Vereinbarung per Email


    Publikationen