Dr. Hui Liu
Enrique-Schmidt-Str. 5
Cartesium, Room 2.14
28359 Bremen
+49(0)421-218-64278
hui.liuprotect me ?!uni-bremenprotect me ?!.de
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, music information retrieval, and multidisciplinary application of AI 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). 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 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). 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 17th BIOSIGNALS, and will be a TPC for 2nd ArtInHCI, Pub.C. for 2nd AIGC, as well as an AC for 33rd ICANN and 7th CEII. I am an editorial member of several international journals, and was awarded Sensors 2023 Outstanding Reviewer.
Recently, my international collaboration has expanded to AI for energy, assistance tool for amateur singers and exoskeletons, among others, 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!
Job/Thesis Information
Student Assistant/Bachelor-/Master-Thesis: Software Porting on Windows/Android (2024)
Bachelor-/Master-Thesis: Real-time Human Activity Recognition with Virtual Reality (2024)
Bachelor-/Master-Thesis: Comparison of manual, semi-automated, and automatic segmentation of human activity data (2024)
Spontaneously designed thesis/work topics related to my research interests are always highly welcomed!
Academic Activities and Contributions
Editorial Board
Editor
Frontiers in Behavioral Neuroscience
Guest Editor
Biosensors (Q1, IF5.4)
Sensors (Q2, IF3.9)
Your contribution is welcome: Sensors for Human Activity Recognition Edition II
Program Chair
BIOSIGNALS 2024 (in BIOSTEC 2024) – 17th International Conference on Bio-Inspired Systems and Signal Processing (Rome, Italy)
Technical Program Co-Chair
ArtInHCI 2024 – 2nd International Conference on Artificial Intellience and Human-Computer Interaction (Kunming, China; Malaysia)
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)
Publicity Chair
AIGC 2024 – 2nd International Conference on AI-Generated Content
Session Chair
HEALTHINF 2022 (in BIOSTEC 2022) – 15th International Conference on Health Informatics (Vienna, Austria)
SIGMAP 2022 – 19th International Conference on Signal Processing and Multimedia Applications (Lisbon, Portugal)
BIOSTEC 2023 – 16th International Joint Conference on Biomedical Engineering Systems and Technologies (Lisbon, Portugal)
Keynote/Invited Speaker
Academics and Art, Verein der CDHAW-Absolventen und Mitglieder der Tongji-Universität, Düsseldorf, Germany, 2018
Smart Bandage, KIT Adaptive Systems Talks, Karlsruhe, Germany, 2022
Peer Reviewer
For 43 international journals, including Nat. Commn., Biomed. Signal Process. Control, Geo-Spat. Inf. Sci., Remote Sens., Foods, Front. Plant Sci., Front. Bioeng. Biotechnol., Front. Med., Physiol. Meas., Phys. Scr., Biomimetics, Smart Cities, and Biosensors
For various conferences, including 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
YERUN (Young European Research Universities Network)
YERUN Research Mobility Awards (YRMA), 2022
Universidade Nova de Lisboa (Lisbon, Portugal)
- Erasmus Teaching Staff Mobility, 2018
Biosignals Notebooks
- Online Sensor-based AI Tutorial & Code Sharing
BIOSTEC 2019 - 12th International Joint Conference on Biomedical Engineering Systems and Technologies (Prague, Czech)
- Tutorial: From Offline towards Real-Time
Bremen Big Data Challenge (BBDC)
Bremen.AI 2019
- Demonstration of real-time human activity recognition
- Demonstration of MR game platform for rehabilitation assistance
MindDay 2021 (Bremen)
- Demonstration of intelligent knee bandage
CAMPUSiDEEN 2022
Courses
Hot Topics in Sensors and Human Activity Research
Thursday 14:00 – 16:00
Biosignals and User Interfaces
Tuesday 14:15 – 16:15
Wednesday 16:15 – 17:15
- Scoreboard_2020
Selected Topics of Cognitive Systems
Fundamentals of Machine Learning (Partially: Clustering)
Software Project II
Bachelor Project: RoboARinth (Winter Semester 2020/2021, Summer Semester 2021)
Publications
Forthcoming:
[46] Semantic Segmentation and YOLO Detector over Aerial Vehicle Images. Quresh, A. M., Butt, A. H., Alzazeb, A., Mudawi, N. A., Alonazi, M., Almujally, N. A., Jalal, A., and Liu, H.* (2024). Computer, Materials & Continua. Tech Science Press.
[45] Template-Based Synergy Extrapolation Analysis for Prediction of Muscle Excitations. Li, K., Zhou, C., Wang, D., Chen, Z, Guo, D, Pan, S.*, Liu, H.*, and Ye, X.* (2024). Physiological Measurement. IOPScience.
[44] Innovative Healthcare Solutions: Robust Hand Gesture Recognition of Daily Life Routines Using 1D CNN. Mudawi, N. A., Ansar, H., Alazeb, A., Aljuaid, H., Alqahtani, Y., Algarni, A., Jalal, A.*, and Liu, H.* (2024). Frontiers in Bioengineering and Biotechnology.
[43] LSTM-MorA: Melody-Accompaniment Classification of MIDI Tracks. Liu, H.*, Flaack, L., Zhang, S., and Schultz, T. (2024). ICANN 2024 - 33rd International Conference on Artificial Neural Networks.