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


  • Since 01.2021 Research Associate / Ph.D. candidate in Informatics at TecO, KIT, Germany.
  • 10.2018 – 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.


  • JubotJung bleiben mit Robotern
  • 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
  • FreshIndex: 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


Available Thesis

  • Split Multi-Mask Manufacturing for Printed Neuromorphic Circuits
  • Power-efficient Printed Neuromorphic Circuits
  • Regularization-based Architecture Search for Printed Neuromorphic Circuits
  • (other intuitive topics are also welcome)

Finished/Running Thesis

  • Learnable and Tunable Nonlinear Circuits for Printed Neuromorphic Circuits
  • Weights Assimilation for Split Manufacturing of Printed Neuromorphic Circuits
  • Training of quantized Neural Networks — An ADMM Approach
  • Learnable Filters for Printed Neuromorphic Circuits — Neural Ordinary Differential Equation
  • A Web-based Platform for Automatic Feature Engineering
  • FPGA Acceleration for TinyHAR


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:10.1145/3508352.3549411VolltextVolltext der Publikation als PDF-Dokument
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:10.1145/3544794.3558479VolltextVolltext der Publikation als PDF-Dokument
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:10.1145/3544794.3558467VolltextVolltext der Publikation als PDF-Dokument
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:10.1145/3550314VolltextVolltext der Publikation als PDF-Dokument
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:10.1145/3544794.3558461VolltextVolltext der Publikation als PDF-Dokument
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