HAIBIN ZHAO

Karlsruher Institute of Technology (KIT)
Institut of Telematics (TM) – Chair for Pervasive Computing Systems (PCS)
TecO Reasarch Group

Vincenz-Prießnitz-Str. 1,
Building 07.07, 2.OG,
Room 214,
76131, Karlsruhe, Germany

Email: haibin.zhao@kit.edu

SHORT CV

  • Since 01.2021 Research Associate / Ph.D. candidate in Informatics at TecO, KIT, Germany.
  • 11.2018 – 11.2020 M.Sc. in Mechatronics and Information Technology from KIT, Germany
  • 09.2013 – 07.2017 B.Sc. in Mechanical Engineering from Chongqing University, China.

PROJECTS

  • JuBotJung bleiben mit Robotern (engl. Staying Young with Robots)
  • MERAGEM: Modellierung, Entwurf, Realisierung und Automatisierung von Gedruckter Elektronik und ihren Materialien (engl. Modelling, design, realisation, and automation of printed electronics and their materials)
  • Data Scientist @ SDIL — Smart Data Innovation Lab
  • EUHub4DataFreshIndex: Safety and Holistic Sustainability in the Food Sector with AI and IoT
  • SoftNeuRo: Soft-Electronics and Neuromorphic Systems for Resource-Constraint Artificial Intelligence in Soft Robotics and Wearables
  • Fit2Ear: Personalized Otoplastic from Smartphone Depth Camera

RESEARCH

Available Thesis

  • Routing, placement, and architecture co-design for printed neuromorphic circuits
  • (other intuitive topics are also welcome)

Finished/Running Thesis

PUBLICATION

2024
Deep Neural Network Pruning with Progressive Regularizer
Zhou, Y.; Zhao, H.; Hefenbrock, M.; Li, S.; Beigl, M.
2024. 2024 IEEE International Joint Conference on Neural Network (IJCNN 2024), Yokohama, 30th June - 05 July 2024, Institute of Electrical and Electronics Engineers (IEEE) Full textFull text of the publication as PDF document
A Survey on Wearable Human Activity Recognition: Innovative Pipeline Development for Enhanced Research and Practice
Huang, Y.; Zhou, Y.; Zhao, H.; Riedel, T.; Beigl, M.
2024. 2024 IEEE International Joint Conference on Neural Networks (IJCNN 2024), Yokohama, 30th June - 5th July 2024, Institute of Electrical and Electronics Engineers (IEEE) Full textFull text of the publication as PDF document
Fault Sensitivity Analysis of Printed Bespoke Multilayer Perceptron Classifiers
Pal, P.; Afentaki, F.; Zhao, H.; Saglam, G.; Hefenbrock, M.; Zervakis, G.; Beigl, M.; Tahoori, M. B.
2024. 29th IEEE European Test Symposium (ETS 2024), Institute of Electrical and Electronics Engineers (IEEE) Full textFull text of the publication as PDF document
AutoAugHAR: Automated Data Augmentation for Sensor-based Human Activity Recognition
Zhou, Y.; Zhao, H.; Huang, Y.; Röddiger, T.; Kurnaz, M.; Riedel, T.; Beigl, M.
2024. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 8 (2), Art.-Nr.: 48. doi:10.1145/3659589Full textFull text of the publication as PDF document
Enhancing Efficiency in HAR Models: NAS Meets Pruning
Zhou, Y.; King, T.; Huang, Y.; Zhao, H.; Riedel, T.; Röddiger, T.; Beigl, M.
2024. 22nd IEEE International Conference on Pervasive Computing and Communications (PerCom 2024), Institute of Electrical and Electronics Engineers (IEEE) Full textFull text of the publication as PDF document
Optimizing AutoML for Tiny Edge Systems: A Baldwin-effect Inspired Genetic Algorithm
Huang, Y.; Zhou, Y.; Zhao, H.; Riedel, T.; Beigl, M.
2024. 22nd IEEE International Conference on Pervasive Computing and Communicaitons (PerCom 2024), Institute of Electrical and Electronics Engineers (IEEE) Full textFull text of the publication as PDF document
2023
Towards Temporal Information Processing – Printed Neuromorphic Circuits with Learnable Filters
Zhao, H.; Pal, P.; Hefenbrock, M.; Beigl, M.; Tahoori, M. B.
2023. 18th ACM International Symposium on Nanoscale Architectures (NANOARCH 2023), Dresden, 18.12 - 20.12.2023), Association for Computing Machinery (ACM). doi:10.5445/IR/1000164433Full textFull text of the publication as PDF document
Standardizing Your Training Process for Human Activity Recognition Models – A Comprehensive Review in the Tunable Factors
Huang, Y.; Zhao, H.; Zhou, Y.; Riedel, T.; Beigl, M.
2023. Proceedings of the 20th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2023), Springer Full textFull text of the publication as PDF document
Power-Aware Training for Energy-Efficient Printed Neuromorphic Circuits
Zhao, H.; Pal, P.; Hefenbrock, M.; Beigl, M.; Tahoori, M.
2023. 42nd IEEE/ACM International Conference on Computer-Aided Design, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ICCAD57390.2023.10323917Full textFull text of the publication as PDF document
Highly-Bespoke Robust Printed Neuromorphic Circuits
Zhao, H.; Sapui, B.; Hefenbrock, M.; Yang, Z.; Beigl, M.; Tahoori, M. B.
2023. 2023 Design, Automation and Test in Europe Conference & Exhibition (DATE), Institute of Electrical and Electronics Engineers (IEEE) Full textFull text of the publication as PDF document
Split Additive Manufacturing for Printed Neuromorphic Circuits
Zhao, H.; Hefenbrock, M.; Beigl, M.; Tahoori, M. B.
2023. 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE) Full textFull text of the publication as PDF document
2022
Aging-Aware Training for Printed Neuromorphic Circuits
Zhao, H.; Hefenbrock, M.; Beigl, M.; Tahoori, M. B.
2022. International Conference on Computer Aided Design (ICCAD ’22), October 30-November 3, 2022, San Diego, CA, USA, Art.-No.: 38, Association for Computing Machinery (ACM). doi:10.1145/3508352.3549411Full textFull text of the publication as PDF document
Printed Electrodermal Activity Sensor with Optimized Filter for Stress Detection
Zhao, H.; Scholz, A.; Beigl, M.; Ni, S.; Singaraju, S. A.; Aghassi-Hagmann, J.
2022. International Symposium on Wearable Computers (ISWC’22) , Atlanta, GA and Cambridge, UK, September 11-15, 2022, 112–114, Association for Computing Machinery (ACM). doi:10.1145/3544794.3558479Full textFull text of the publication as PDF document
TinyHAR: A Lightweight Deep Learning Model Designed for Human Activity Recognition
Zhou, Y.; Zhao, H.; Huang, Y.; Hefenbrock, M.; Riedel, T.; Beigl, M.
2022. International Symposium on Wearable Computers (ISWC’22) , Atlanta, GA and Cambridge, UK, September 11-15, 2022, 89–93, Association for Computing Machinery (ACM). doi:10.1145/3544794.3558467Full textFull text of the publication as PDF document
Sensing with Earables: A Systematic Literature Review and Taxonomy of Phenomena
Röddiger, T.; Clarke, C.; Breitling, P.; Schneegans, T.; Zhao, H.; Gellersen, H.; Beigl, M.
2022. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 6 (3), Article 135. doi:10.1145/3550314Full textFull text of the publication as PDF document
Improving Human Activity Recognition Models by Learnable Sparse Wavelet Layer
Zhao, H.; Zhou, Y.; Riedel, T.; Hefenbrock, M.; Beigl, M.
2022. International Symposium on Wearable Computers (ISWC’22) , Atlanta, GA and Cambridge, UK, September 11-15, 2022, 84–88, Association for Computing Machinery (ACM). doi:10.1145/3544794.3558461Full textFull text of the publication as PDF document
2021
AirCase: Earable Charging Case with Air Quality Monitoring and Soundscape Sonification
Zhao, H.; Roddiger, T.; Beigl, M.
2021. Proceedings of the 2021 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2021 ACM International Symposium on Wearable Computers: September 21-25, 2021 ; Virtual Event, 180–184, Association for Computing Machinery (ACM). doi:10.1145/3460418.3479329
Kalman Filtered Compressive Sensing Using Pseudo-Measurements
Zhao, H.; Funk, C.; Noack, B.; Hanebeck, U. D.; Beigl, M.
2021. Proceedings of the 2021 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2021), 1–8, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/MFI52462.2021.9591186