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0000-0002-6850-9570
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Your contribution is welcome:
Innovative Technologies of Acquiring, Processing, Modeling, or Utilizing Biomedical and Physiological Signals from Biosensing
Electroencephalogram/Electromyogram-Based Sensing Technologies for Biomedical Applications: Challenges and Possible Applications
Sensors for Human Activity Recognition: 3rd Edition

Research Keywords and Highlights


Google global scholar rankings by field labels:
Biosignals (15)
Hidden Markov Models (4)
Sensor Data Fusion (17)
Folk Music (2)
Chinese Music (1)


Developed the first intelligent knee bandage:
● Integrating multimodal wearable sensors
● Recognizing human activities in real-time
● Assisting rehabilitation
Best Paper Award (Student Author) of

Publications (54)

  |    
Sensors for Human Activity Recognition II. Liu, H., Gamboa, H., and Schultz, T. (2024). MDPI.
Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies – (Volume 1). Guarino, M. P., Hotta, K., Yousef, M., Liu, H., Saggio, G., Fred, A., and Gamboa, H. (2024). INSTICC.
                   10.5220/0000184700003657
Sensors for Human Activity Recognition. Liu, H., Gamboa, H., and Schultz, T. (2023). MDPI.
                             10.3390/books978-3-0365-7555-1
Biosignal Processing and Activity Modeling for Multimodal Human Activity Recognition. Liu, H. (2021). PhD thesis, University of Bremen.
                             10.26092/elib/1219
  |    
Muscle Synergy and Co-Contraction Effects on Joystick Manipulation. Ouyang, C., Cai, L.*, Yan, S., Zhang, T., Zhu, J., Chen, L., and Liu, H.* (2024). Biomedical Engineering Systems and Technologies, Springer Nature Switzerland
EMG-Based Action Unit Recognition: Feature Engineering, Machine Learning, and Real-Time Classification. Liu, H.*, Veldanda, A., Koschke, R., Schultz, T., and Küster, D.* (2024). Biomedical Engineering Systems and Technologies, Springer Nature Switzerland
Human Activity Recognition, Monitoring, and Analysis Facilitated by Novel and Widespread Applications of Sensors. Liu, H.*, Gamboa, H., and Schultz, T. (2024). Sensors, 24(15):5250.
                        10.3390/s24165250
High-Level Features for Human Activity Recognition and Modeling. Hartmann, Y.*, Liu, H., and Schultz, T. (2023). Biomedical Engineering Systems and Technologies. Springer Nature Switzerland.
                             10.1007/978-3-031-38854-5_8     
Sensor-Based Human Activity and Behavior Research: Where Advanced Sensing and Recognition Technologies Meet. Liu, H.*, Gamboa, H., and Schultz, T. (2023). Sensors, 23(1):125.
                        10.3390/s23010125     
     |  (top 0.1% on )  |  (top 1%)
Robust Human Interaction Recognition Using Extended Kalman Filter. Jalal, A., Bukht, T. F. N., Alazeb, A., Al Mudawi, N., Alabdullah, B, Alnowaiser, Kl., and Liu, H.* (2024). Computer, Materials & Continua. Tech Science Press.
Taxonomy and Real-Time Classification of Artifacts during Biosignal Acquisition: A Starter Study and Dataset of ECG. Liu, H.*, Zhang, S., Gamboa, H., Xue, T., Zhou, C., and Schultz, T. (2024). IEEE Sensors Journal, 24(6):9162-9171.
                             10.1109/JSEN.2024.3356651
MS2OD: Outlier Detection Using Minimum Spanning Tree and Medoid Selection. Li, J., Li, JW, Wang, C., Verbeek F. J.*, Schultz, T., and Liu, H.* (2024). Machine Learning: Science and Technology, 5:015025. IOPscience.
                        10.1088/2632-2153/ad2492
Muscle Synergies in Joystick Manipulation. Cai, L., Yan, S., Ouyang C., Zhang, T., Zhu, J., Chen, L., Ma, X.*, and Liu, H.* (2023). Frontiers in Physiology, 14:1282295.
                             10.3389/fphys.2023.1282295
Outlier Detection Using Iterative Adaptive Mini-Minimum Spanning Tree Generation with Applications on Medical Data. Li, J., Li, JW, Wang, C, Verbeek, F. J.*, Schultz T., and Liu H.* (2023). Frontiers in Physiology, 14:1233341.
                        10.3389/fphys.2023.1233341
Robust Human Locomotion and Localization Activity Recognition over Multisensory. Khan, D., Alonazi, M., Abdelhaq, M.*, Al Mudawi, N., Algarni, A., Jalal, A.*, and Liu, H.* (2024). Frontiers in Physiology, 15:1344887.
                        10.3389/fphys.2024.1344887
Efficient Wi-Fi-Based Human Activity Recognition Using Adaptive Antenna Elimination. Jannat, M.K.A., Islam, M.S., Yang, S-H*, and Liu, H.* (2023). IEEE Access, 11:105440-105454.
                             10.1109/ACCESS.2023.3320069
Biosensor-Driven IoT Wearables for Accurate Body Motion Tracking and Localization. Almujally, N. A., Khan, D., Al Mudawi, N, Alonazi, M., Alazeb, A., Algarni, A., Jalal, A.*, and Liu, H.* (2024). Sensors 24(10):3032.
                        10.3390/s24103032
TPRO-NET: An EEG-Based Emotion Recognition Method Reflecting Subtle Changes in Emotion. Zhang, X., Cheng, X.*, and Liu, H.* (2024). Scientific Reports, 14:13491. Springer Nature.
                             10.1038/s41598-024-62990-4
Semantic Segmentation and YOLO Detector over Aerial Vehicle Images. Quresh, A. M., Butt, A. H., Alazeb, A., Al Mudawi, N., Alonazi, M., Almujally, N. A., Jalal, A., and Liu, H.* (2024). Computer, Materials & Continua, 80(2):3315-3332. Tech Science Press.
                   10.32604/cmc.2024.052582
Template-Based Synergy Extrapolation Analysis for Prediction of Muscle Excitations. Li, K., Wang, D., Chen, Z, Guo, D, Pan, S., Liu, H., Zhou, C.*, and Ye, X.* (2024). Physiological Measurement. IOPScience.
                        10.1088/1361-6579/ad7776
A Robust Multimodal Detection: Physical Exercise Monitoring in Long-Term Care Environments. Al Mudawi, N, Batool M., Alazeb A., Alqahtani Y., Almujally, N. A., Algarni A., Jalal, A.*, and Liu, H.* (2024). Frontiers in Bioengineering and Biotechnology, 12:.1398291.
                   10.3389/fbioe.2024.1398291
Innovative Healthcare Solutions: Robust Hand Gesture Recognition of Daily Life Routines Using 1D CNN. Al Mudawi, N, Ansar, H., Alazeb, A., Aljuaid, H., Alqahtani, Y., Algarni, A., Jalal, A.*, and Liu, H.* (2024). Frontiers in Bioengineering and Biotechnology, 12:1401803.
                   10.3389/fbioe.2024.1401803
Remote Intelligent Perception System for Multi-Object Detection. Alazeb, A., Chughtai, B. R., Al Mudawi, N., Alqahtani, Y., Alonazi, M., Aljuaid, H., Jalal, A.*, and Liu, H.* (2024). Frontiers in Neurorobotics, 18:1398703.
                   10.3389/fnbot.2024.1398703
Multi-Modal Remote Perception Learning for Object Sensory Data. Almujally, N. A., Rafique, A. A., Mudawi, N. A., Alazeb, A., Alonazi, M., Algarni, A., Jalal, A.*, and Liu, H.* (2024). Frontiers in Neurorobotics.
                   10.3389/fnbot.2024.1427786
Enhanced Data Mining and Visualization of Sensory-Graph-Modeled Datasets through Summarization. Hashmi, S. J., Alabdullah, B., Al Mudawi, N., Algarni, A., Jalal, A.*, and Liu, H.* (2024). Sensors, 24(14):4554.
                   10.3390/s24144554
Understanding Naturalistic Facial Expressions with Deep Learning and Multimodal Large Language Models. Bian, Y., Küster, D., Liu H., and Krumhuber, E. G.* (2024). Sensors, 24(1):126.
                        10.3390/s24010126
Cardiorespiratory Response to Workload Volume and Ergonomic Risk: Automotive Assembly Line Operators’ Adaptations. Furk, D., Silva, L.*, Dias, M., Fujão, C., Probst, P., Liu, H., Gamboa, H. (2024). Applied Sciences, 14(9):3921.
                        10.3390/app14093921
Hybrid Modeling on Reconstitution of Continuous Arterial Blood Pressure Using Finger Photoplethysmography. Shi, W., Zhou, C., Zhang, Y., Li, K., Ren, X., Liu, H.*, and Ye, X.* (2023). Biomedical Signal Processing and Control, 85:104972. Elsevier.
                        10.1016/j.bspc.2023.104972
Feature-Based Information Retrieval of Multimodal Biosignals with a Self-Similarity Matrix: Focus on Automatic Segmentation. Rodrigues, J.*., Liu, H.* (co-first), Folgado, D., Belo, D., Schultz, T., and Gamboa, H.* (2022). Biosensors, 12(12):1182. MDPI.
                        10.3390/bios12121182
Bell Shape Embodying Zhongyong: The Pitch Histogram of Traditional Chinese Anhemitonic Pentatonic Folk Songs. Liu, H.*, Jiang, K., Gamboa, H., Xue, T., and Schultz, T. (2022). Applied Sciences, 12(16):8343. MDPI.
                                  10.3390/app12168343
TSSEARCH: Time Series Subsequence Search Library. Folgado, D. Barandas, M., Antunes, M., Nunes, M. L., Liu, H., Hartmann, Y., Schultz, T., and Gamboa, H. (2022). SoftwareX, 18:101049. Elsevier.
                                                 10.1016/j.softx.2022.101049
CSL-SHARE: A Multimodal Wearable Sensor-Based Human Activity Dataset. Liu, H.*, Hartmann, Y., and Schultz, T. (2021). Frontiers in Computer Science, 3:759136.
                             10.3389/fcomp.2021.759136
TSFEL: Time Series Feature Extraction Library. Barandas, M., Folgado, D., Fernandes, L., Santos, S., Abreu, M., Bota, P., Liu, H., Schultz, T., and Gamboa, H. (2020). SoftwareX, 11:100456. Elsevier.
                                            10.1016/j.softx.2020.100456     (Top-cited on Software X)
     |  Best Paper   |  Best Paper Finalists
LSTM-MorA: Melody-Accompaniment Classification of MIDI Tracks. Liu, H.*, Flaack, L., Zhang, S., and Schultz, T. (2024). In ICANN 2024 - 33rd International Conference on Artificial Neural Networks, pages 443-485. Springer, Cham.
                        10.1007/978-3-031-72356-8_29     
Examining the Effects of Human-Likeness of Avatars on Emotion Perception and Emotion Elicitation. Zhang, S., Faruk, O., Porzel, R., Küster, D., Schultz, T., and Liu, H. (2024). In ABC 2024 - 6th International Conference on Activity and Behavior Computing, pages 1-12. IEEE.
                        10.1109/ABC61795.2024.10652090
Comfort Assessment Method of EEG-Based Exoskeleton Walking-Assistive Device. Zhou, C., Wang, H., Li, K., Liu, H., and Ye, X. (2024). In BIOSTEC 2024 - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS, pages 675-682. INSTICC, SciTePress.
                        10.5220/0012564800003657
Can Electromyography Alone Reveal Facial Action Units? A Pilot EMG-Based Action Unit Recognition Study with Real-Time Validation. Veldanda, A., Liu, H., Koschke, R., Schultz, T., and Küster, D. (2024). In BIOSTEC 2024 - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIODEVICES, pages 142–151. INSTICC, SciTePress.
                        10.5220/0012399100003657
Really Can't Hold on Anymore? Physiological Indicators Versus Self-Reported Motivation Drop During Jogging. Zhang, S., Kolensnikov, S., Rennspieß, T., Porzel, R., Schultz, T., and Liu, H. (2024). In BIOSTEC 2024 - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS, pages 821-831. INSTICC, SciTePress.
                        10.5220/0012577300003657
Associating Endpoint Accuracy and Similarity of Muscle Synergies. Cai, L., Yan, S., Ouyang, C., Zhang, T., Zhu, J., Chen, L., and Liu, H. (2024). In BIOSTEC 2024 - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS, pages 683-694. INSTICC, SciTePress.
                        10.5220/0012586800003657
Integrated Driver Pose Estimation for Autonomous Driving. Cao, X., Hu, W., and Liu, H. (2024). In BIOSTEC 2024 - Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies - BIOSIGNALS, pages 695-702. INSTICC, SciTePress.
                        10.5220/0012639400003657
On a Real Real-Time Wearable Human Activity Recognition System. Liu, H., Xue, T., and Schultz, T. (2023). In BIOSTEC 2023 - Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies - WHC, pages 711-720. INSTICC, SciTePress.
                        10.5220/0011927700003414
Merged Pitch Histogram and Pitch-Duration Histogram. Liu, H., Xue, T., and Schultz, T. (2022). In SIGMAP 2022 - Proceedings of the 19th International Conference on Signal Processing and Multimedia Applications, pages 32-39. INSTICC, SciTePress.
                        10.5220/0011310300003289     (Best Paper Award Finalist)
Interactive and Interpretable Online Human Activity Recognition. Hartmann, Y., Liu, H., and Schultz, T. (2022). In PERCOM 2022 - 20th IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, pages 109–111. IEEE.
                        10.1109/PerComWorkshops53856.2022.9767207
A Practical Wearable Sensor-Based Human Activity Recognition Research Pipeline. Liu, H., Hartmann, Y., and Schultz, T. (2022). In BIOSTEC 2022 - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, pages 851-860. INSTICC, SciTePress.
                        10.5220/0010937000003123
How Long Are Various Types of Daily Activities? Statistical Analysis of a Multimodal Wearable Sensor-Based Human Activity Dataset. Liu, H., and Schultz, T. (2022). In BIOSTEC 2022 - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, pages 684-692. INSTICC, SciTePress.
                        10.5220/0010896400003123
Interpretable High-Level Features for Human Activity Recognition. Hartmann, Y., Liu, H., Lahrberg, S., and Schultz, T. (2022). In BIOSTEC 2022 - Proceedings of the 15th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, pages 40-49. INSTICC, SciTePress.
                        10.5220/0010840500003123     (Best Student Paper Award Finalist)
Hidden Markov Model and Its Application in Human Activity Recognition and Fall Detection: A Review. Xue, T., and Liu, H. (2022). Communications, Signal Processing, and Systems. Springer, Singapore.
                             10.1007/978-981-19-0390-8_108     
Motion Units: Generalized Sequence Modeling of Human Activities for Sensor-Based Activity Recognition. Liu, H., Hartmann, Y., and Schultz, T. (2021). In EUSIPCO 2021 - 29th European Signal Processing Conference. IEEE.
                        10.23919/EUSIPCO54536.2021.9616298
Feature Space Reduction for Human Activity Recognition Based on Multi-Channel Biosignals. Hartmann, Y., Liu, H., and Schultz, T. (2021). In BIOSTEC 2021 - Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, pages 215-222. INSTICC, SciTePress.
                        10.5220/0010260802150222
Feature Space Reduction for Multimodal Human Activity Recognition. Hartmann, Y., Liu, H., and Schultz, T. (2020). In BIOSTEC 2020 - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 4: BIOSIGNALS, pages 135–140. INSTICC, SciTePress.
                        10.5220/0008851401350140
A Wearable Real-Time Human Activity Recognition System using Biosensors Integrated into a Knee Bandage. Liu, H., and Schultz, T. (2019). In BIOSTEC 2019 - Proceedings of the 12th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 1: BIODEVICES, pages 47–55. INSTICC, SciTePress.
                        10.5220/0007398800470055     (Best Paper Award, Student Author)
ASK: A Framework for Data Acquisition and Activity Recognition. Liu, H., and Schultz, T. (2018). In BIOSTEC 2018 - Proceedings of the 11th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOSIGNALS, pages 262–268. INSTICC, SciTePress.
                        10.5220/0006732902620268
Bremen Big Data Challenge 2017: Predicting University Cafeteria Load. Weiner, J., Diener, L., Stelter, S., Externest, E., Kühl, S., Herff, C., Putze, F., Schulze, T., Salous, M., Liu, H., Küster, D., and Schultz, T. (2017). KI 2017: Advances in Artificial Intelligence. Springer, Cham.
                                  10.1007/978-3-319-67190-1_35     
Capacity of Cooperative Ad Hoc Networks with Heterogeneous Traffic Patterns. Liu, H., and Wang, X. (2011). In ICC 2011 - IEEE International Conference on Communications, pages 1–5. IEEE.
                        10.1109/icc.2011.5963075

Contributions to the Academic Community

Editorial Board Engineering Research Express
in Big Data
in Artificial Intelligence
Editor in Behavioral Neuroscience
Guest Editor Innovative Technologies of Acquiring, Processing, Modeling, or Utilizing Biomedical and Physiological Signals from Biosensing
Electroencephalogram/Electromyogram-Based Sensing Technologies for Biomedical Applications: Challenges and Possible Applications
Sensors for Human Activity Recognition: 1st Edition
Sensors for Human Activity Recognition: 2nd Edition
Sensors for Human Activity Recognition: 3rd Edition
Program Chair (PC) – 17th International Conference on Bio-Inspired Systems and Signal Processing (in ), Rome, Itaty
Technical Program Co-Chair (Co-TPC) 2024 – 2nd International Conference on Artificial Intelligence and Human-Computer Interaction, Kunming, China
Area Chair (AC) - 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland
- 7th Asia Conference on Cognitive Engineering and Intelligent Interaction, Singapore
Publicity Chair - 2nd International Conference on AI-generated Content, Beijing, China
Session Chair - 15th International Conference on Health Informatics, Vienna, Austria
- 19th International Conference on Signal Processing and Multimedia Applications, Lisbon, Portugal
- 16th International Joint Conference on Biomedical Engineering Systems and Technologies, Lisbon, Portugal
Reviewer ● For 43 international journals, including Nat. Commun., IEEE Sens. J., Biomed. Signal Process. Control, Geo-Spat. Inf. Sci., Remote Sens., Front. Plant Sci., Front Bioeng. Biotechnol., Physiol. Meas., Phys. Scr., ISPRS Int. J. Geo-Inf., Biomimetics, and Biosensors
● For various conferences, including IEEE BSN, BHI; ACM ICMI, ISWC, AUTOMOTIVEUI; ITP
IOP Trusted Reviewer in recognition of an exceptionally high level of peer review competency
2023 Outstanding Reviewer Award of Sensors
Invited Speaker Verein der CDHAW-Absolventen und Mitglieder der Tongji-Universität, Düsseldorf, Germany 2018: Academics and Art
– 12th International Joint Conference on Biomedical Engineering Systems and Technologies, Prague, Czech, 2019: From Offline towards Real-Time (Tutorial)
Karlsruher Institut für Technologie - KD2school Adaptive Systems Talks, Karlsruhe, Germany 2022: Smart Knee Bandage
Open-Source Codebank, Dataset, and Tutorial Contributor Biosignals Notebooks: Online Sensor-based AI Tutorial and Code Sharing
TSFEL: Time Series Feature Extraction Library
TSSEARCH: Time Series Subsequence Search Library
CSL-SHARE: Sensor-based Human Activity Recordings
sensORder: ECG dataset for artifact classification during biosignal acquisition
Big Data Challenge Organizer 4th BBDC 2019: Big data acquisition, processing, and provision (individually). Over 60 teams from north German universities participated in the final round
From 9th BBDC 2024: Main responsible orgnizer for Basic Track

Projects and Fundings


Arthrokinemat (2016 — 2019)
● Project Facilitator and Researcher
● Federal Ministry for Economic Affairs and Climate Action, Germany (BMWi)
● Development of a learning, adaptive, sensor-based measurement system to prevent arthrosis activation when the knee joint is overloaded

NF-BWB (2023 — 2025)
● Project Facilitator and Researcher
● Bremen Securities Exchange Foundation (BWB)
● Promoting young talents: big data and AI popularization and competition in high schools

IntEL4CoRo (2021 — 2025)
● Project Facilitator and Researcher
● Federal Ministry of Education and Research, Germany (BMBF)
● Interactive Learning Environment for Cognitive Robotics

ETAP (2022 — 2025)
● Project plan participant
● Federal Ministry of Health, Germany (BMG)
● Evaluation of semi-automated care processes in long-term care using AI-based activity monitoring

Young European Research
Universities Network
● YERUN Research Mobility Awards (YRMA)

Universidade Nova de Lisboa
Lisbon, Portugal
Erasmus Teaching Staff Mobility

Industry-Oriented Scientific Activities


From 2019
PLUX Wireless Biosignals S.A.
● (Specially Appointed) Senior Research Engineer
● Organizing joint research, educational and social activities between the company and universities
● Researching and developing real-time recognition and feedback technologies
● Advising the development of multimodal wearable biomedical signal acquisition software
● Participating in planning for the open-source "biosignal notebooks" tutorial and writing chapters
● Planning, assisting and developing business expansion activities in Germany and Asia
● Guiding and supervising students to conduct cross-border internships
● Publishing excellent research results on PLUX products

Bremen, Germany 2019
● Demonstration of real-time human activity recognition
● Demonstration of MR game platform for rehabilitation assistance
● @ Fraunhofer Institute for Digital Medicine (MEVIS)

Bremen, Germany 2021
● Demonstration of intelligent knee bandage
● @ Übersee-Museum Bremen

CAMPUSiDEEN 2022
Business Idea Competition
3rd Audience Award

Golden Panda 2022
Global Competition of
Innovation & Entrepreneurship
● Ambassador and Judge

Professional Preparation and Practice


2001 — 2004
Shixi High School
● Senior High School
● 1st Prize of the National Olympiad in Informatics in Provinces (NOIP'94) [Certificate No. I030473]
● 1st Prize of Shanghai High School Programming Competition (CASIO Cup)

2004 — 2007
School of Electronic Information and Electrical Engineering
Shanghai Jiao Tong University
Major: Information Engineering
● Bachelor
● Scholarship of Shanghai Jiao Tong University (three years)

2007 — 2009
Faculty IV: Electrical Engineering and Computer Science
Technische Universität Berlin
Major: Communication Systems
Major: Quality and Usability
Supplementary: Computer Vision
  
● Diplom-Ingenieur
● Average course score:1.0
● Student research assistant @ Fraunhofer Institute for Telecommunication, Heinrich Hertz Institute

2009 — 2011
School of Electronic Information and Electrical Engineering
Shanghai Jiao Tong University
Major: Communication and Information System
    
● Master of Science
● GPA:3.16/3.3
● Ranking:1/102
● First-class National Fellowship

2012 — 2013
Technische Universität Berlin
● Research Assistant
● The President's Scholarship of Technische Universität Berlin

2014 — 2016
In Industry
● Software Engineer
● Responsible for integrated development projects
  
2016 — 2021
Cognitive Systems Lab (CSL),
Faculty 3: Mathematics and Computer Science,
Universität Bremen
● In charge of the BMWi project Arthrokinemat
● Developed the first intelligent knee bandage recognizing human activities in real-time to assist rehabilitation
Best Paper Award (student author)
● Established extensive and close research cooperation with Institute of Sports and Sports Science , , among others
● Obtained a PhD of Engineering in 2021
  
From 2021
Universität Bremen
● Postdoctoral Researcher

         
  
From 2022
LIBPhys: Laboratory for Instrumentation,
Biomedical Engineering and Radiation Physics,
Universidade NOVA de Lisboa
● Visiting scientist funded by YERUN Research Mobility Award (YRMA)

From 2024
College of Art,
Xi'an University of Architecture and Technology
● Guest Professor

Teaching Experience

  
From 2022
Hot Topics in Sensors and
Human Activity Research
(EN/DE)
● Course provider
● Seminar instructor
  
From 2022
Selected Topics of
Cognitive Systems
(DE)
● Cooperative teaching
● Seminar instructor
  
From 2017
Biosignals and User Interfaces (DE)
● Organization of E-teaching; part of teaching tasks
● Exercise courses; online and offline Q&A
● Exam proposition; oral exam committees
● Virtual teaching activities in the pandemic
  
2020 — 2021
Machine Learning Basics (EN)
● Cooperative teaching
● Responsible for clustering analysis and clustering algorithm
● Online lecture video preparation in the pandemic
  
2020 — 2021
Bachelor Project: RobARinth (DE)
● Instructing project practice, including biodevice technology
  
2016 — 2018
Software-Projekt II (DE)
● Teaching and advising software design
● Instructing group practice
● Accompanying user conferences to formulate requirements
● Guiding programming and reviewing development

2010 — 2011
Basic Theory of Circuits (EN/DE)
● Teaching Assistant
Selected Supervised Master and Bachelor Theses
2019Yale HartmannImplementation and Optimisation of a Human Activity Recognition System using Sensors integrated into a Knee Bandage
2019Timo UrbanEntwicklung einer mobilen Anwendung für Echtzeit-Visualisierung und Archivierung von mehrkanaliger Biosignalaufnahme mit Bluetooth
2020Lennard MaiAutomatische Segmentierung von Bewegungsdaten eines biosignalbasierten, in einer Kniebandage integrierten HAR Systems
2020Yale HartmannFeature Selection for Multimodal Human Activity Recognition
2021Kilian LüdemannSturzerkennung in Infrarotvideos mit Hilfe von Rekurrenten Neuronalen Netzen
2021Steffen LahrbergDirection Distinguishment in Wearable Sensor-Based Human Activity Recognition Using Cross-Channel Features
2022Tobias DellertData Pipeline in AWS for Real-Time Workload-Monitoring Using HRV- and Inertial-Sensor Data via Mobile APP
2022Wei WangTowards Automatic Heart Sound Segmentation
2023Ciwan GülpinarDevelopment of a Virtual Reality Application for the Real-Time Visualization and Archiving of Biosignals
2024Daniel OttPlattformübergreifende Software-Implementierung für individuelle Tonart-Anpassung mit Validierung der Brauchbarkeit
2024Leon FlaackKlassifizierung von MIDI-Melodiespuren anhand von Long Short-term Memory-Netzwerken
2024Thorben LorenzenErkennung von Finger-Aktivitäten beim Klavierspiel mit EMG
2024Hannes WehrmannAdaption von Musik an die Bewegungsdaten beim Laufen – Implementation und Validierung von ML-Algorithmen für Android-Applikationen
2024Shiyao ZhangReal-Time Artifact Recognition during ECG Acquisition
My research group (partially, 2023/2024)


Hasanur, Romina, Johann, Izzie, Daniel, Hannes, Nazia, Alenna, Md. Asif, Arthur, Rakibur, Robin, Shiyao, Jie, Ferdinand, Yvo, and Abhinav
Best students and research assitants supervised by me

©Yale Hartmann
Research assistant 2018 — 2020
Bachelor thesis 2019 @ Bremen, Germany (full score)
Master thesis 2020 @ Bremen, Germany (full score)
    ● Human activity recogntion; Feature engineering

→ Ph.D candidate @ University of Bremen

©Anindya Chowdhury
Research assistant 2019
    ● Statistical models


→ Data Analyst @ Fujifilm Europe, Ratingen

©Lennard Mai
Bachelor thesis 2019 @ Bremen, Germany
    ● Automatic segmentation of motion data


→ Junior Data Engineer @ hmmh, Bremen

©Timo Urban
Bachelor thesis 2019 @ Bremen, Germany (full score)
    ● Android APP development for biosignal acquisition

→ Software engineer @ TK, Hamburg

©Kilian Lüdemann
Bachelor thesis 2021 @ Bremen, Germany
    ● Fall detection based on infrared videos using RNN

→ Software engineer @ RealCore Group, Essen

©Tobias Dellert
Bacheler thesis 2022 @ Tbilisi, Georgia
    ● Real-time workload monitoring using HRV and inertial

→ Data Engineer @ WearHealth, Bremen

Isabel de Almeida Curioso
©NOVA FCT (Twitter)
Master thesis 2022 @ Lisbon, Portugal (20/20, best of the year)
    ● Missing data restoration of reliable AI to clinical contexts

→ Researcher @ Portugal

©Shiyao Zhang
Research assistant and convenor of Hui Liu's research group since 2022
Bachelor thesis 2024 @ Bremen, Germany (full score)
    ● Artifacts during biosignal acquisition
    ● Real-time ECG signal processing

→ Master student @ University of Bremen

©Steffen Lahrberg
Bachelor thesis 2022 @ Bremen, Germany (full score)
    ● Motion direction distinguishment using cross-channel features

©Wei Wang
Master thesis 2022 @ Hannover, Germany
    ● Subsequence search for automatic heart sound segmentation

→ IT application developer @ Bosch, Eisenach

©Daniel Faustino de Noronha Osório
Ph.D. thesis 2023 @ Lisbon, Portugal
    ● Pervasive remote sensing; Cardiovascular disease assessment

→ Senior Engineer @ PLUX wireless biosignals SA

©Jonas Boule
Research assistant since 2023
    ● EEG signal analysis
    ● EEG and inertial data fusion for HAR

©Romina Razeghi Oskouei
Research assistant since 2023
    ● EMG signal acquisition and processing
    ● Big data
    ● Action unit recognition

@Ferdinand Rohlfing
Research assistant since 2023
    ● ML for EMG-based action unit recognition

Anantha Sripada Abhinav Veldanda
Guest research scholar
Bachelor thesis 2023 @ Goa, India / Bremen, Germany (grade A)
    ● Real-time facial action unit recognition using fEMG

→ Engineer @ India

©Ciwan Gülpinar
Bachelor thesis 2023 @ Bremen, Germany
    ● Biosignals in VR

→ Master student @ University of Bremen

Johann Joachim Keuneke
Graduation research in progress
    ● Multimodal sensors in mobile phone

Daniel Ott
Bachelor thesis 2024 @ Bremen, Germany (sehr gut/very good)
    ● Gui design for singing assistance and usability analysis

©Hasanur Jaman Seam
Graduation research in progress
    ● Mobile phone-based HAR

Hannes Wehrmann
Graduation research in progress
    ● Jogging status recognition     ● HAR-based sonification

©Rakibul Islam
Graduation research in progress
    ● GUI for multichannel information retrieval using SSM

©Thorben Lorenzen
Master thesis 2024 @ Bremen, Germany
    ● EMG-based finger recognition for piano edutainment

→ Data engineer @ Munich

©Leon Flaack
Bachelor thesis 2024 @ Bremen, Germany
    ● 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
    ● Automatic pitching evaluation for intonation training

©Mohamad Tofayel Ahmed
Graduation research in progress
    ● AI-based correction of fuel cell aging model

©Mohamad Asif Siddiqui
Graduation research in progress
    ● Outlier detection benchmark

©Arthur Belousov
Graduation research in progress
    ● Piano audio-based automatic score generation


©Aklima Akter
Graduation research in progress
    ● Advanced data processing for Wi-Fi-based HAR

©Yvo Muskulus
Research assistant since 2023
    ● 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 univeral dice

©David Czesla
Graduation research in progress
    ● Piano self-learning feedback based on finger and pitch recognition

©Jie Su
Graduation research in progress
    ● HAR in VR

©Nazia Nusrat Ima
Graduation research in progress
    ● APP of community development and online activities for Bangladeshi lonely elderly people

©Finn Redel
Graduation research in progress
    ● Event-driven and distributed analysis framework for chromatography data

©Rui Pedro Sousa Varandas
Ph.D. thesis 2024 @ Lisbon, Portugal
    ● Human learning process evaluation during HCI

→ Senior Engineer @ Lisbon

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