Improving Deep Learning for HAR with shallow LSTMs [best paper award]
Published in ACM International Symposium on Wearable Computers (ISWC), 2021
Curriculum Vitae
Download a pdf version of my CV here (updated April 23).
Academic Expericence
- 11/2024 - curr: Visiting Ph.D., University of Cambridge, UK
- Supervisors: Prof. Cecilia Mascolo
- 02/2021 - curr: Ph.D. in Computer Science, University of Siegen, GER
- Supervisors: Prof. Michael Möller and Prof. Kristof Van Laerhoven
- (Working) Dissertation title: Weak-supervision of Inertial-based Deep Neural Networks using Unlabeled (Egocentric) Visual Data
- 09/2018 - 11/2020: M.Sc. in Data Science, University of Mannheim, GER
- Final Grade (1.4/1.0) with honors
- Supervisor: Prof. Margret Keuper
- Dissertation title: Multiple Object Tracking by Link Prediction using Graph Convolution Networks
- 06/2017 - 09/2017: Student Researcher, Yale University, USA
- Funded under DAAD RISE Worldwide
- Supervisor: Prof. Jakub Szefer & Prof. Ali Sunyaev
- 09/2015 - 12/2015: Exchange semester, University of Seoul, KOR
- Final Grade (4.0/ 4.0)
- 09/2018 - 11/2020: B.Sc. in Information Systems, University of Cologne, GER
- Final Grade (1.5/1.0) with distinction (top 5%)
- Supervisor: Prof. Ali Sunyaev
Comittees
- 2024: Organizing Committee
- 12th International Workshop on Human Activity Sensing Corpus and Applications (HASCA), AUS
- 2024: Technical Progam Committee
- ACM International Symposium on Wearable Computers 2024, AUS
- 2023: Student Volunteer Chair
- ACM UbiComp/ ISWC 2023, MEX
Scholarships & Awards
- 2021: ISWC Best Paper Award
- awarded for paper “Improving Deep Learning for HAR with Shallow LSTMs” at ACM International Joint Conference on Pervasive and Ubiquitous Computing and ACM International Symposium on Wearable Computers 2021
- 2021: House of Young Talents - Young Academy
- 3-year funded PhD scholarship
- 2021: ZESS Stipend Award
- 6-month funded PhD scholarship
- 2020: W&W Prize for Outstanding Master Thesis
- awarded to by the DWS group at the University of Mannheim
- 2017: DAAD RISE Worldwide
- 3-month funded research internship at foreign university
- 2015: Dean’s List Award
- awarded to top 5% of students at WiSo faculty at University of Cologne
Work experience (selected)
- 01/2018 - 06/2018: Intern in Cyper Security Services
- PricewaterhouseCoopers GmbH, GER
- 04/2017 - 12/2017: Working student in Data Science
- SAP SE, GER
- 08/2016 - 02/2017: Intern in Business Analysis/ Development
- SAP Australia Pty. Ltd., AUS
Publications
Tutorial on Deep Learning for Human Activity Recognition
Published in arXiv, 2021
A Public Repository to Improve Replicability and Collaboration in Deep Learning for HAR
Published in IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2022
Investigating (Re)current State-of-the-art in Human Activity Recognition Datasets
Published in Frontiers in Computer Science, 2022
Hang-Time HAR: A Benchmark Dataset for Basketball Activity Recognition using Wrist-worn Inertial Sensors
Published in MDPI Sensors, 2023
A Data-Driven Study on the Hawthorne Effect in Sensor-Based Human Activity Recognition
Published in UbiComp/ISWC 2023, 2023
Evaluation of Video-Assisted Annotation of Human IMU Data Across Expertise, Datasets, and Tools
Published in IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2024
Weak-Annotation of HAR Datasets using Vision Foundation Models
Published in ACM International Symposium on Wearable Computers (ISWC), 2024
Temporal Action Localization for Inertial-based Human Activity Recognition
Published in ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2024
WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition
Published in ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 2024
Talks
Temporal Action Localization for Inertial-based HAR
Invited Talk at Karlsruhe Institute of Technology, Karlsruhe, Germany
WEAR: An Outdoor Sports Dataset for Wearable and Egocentric Activity Recognition
Invited Talk at University of Cambridge, Cambridge, England