DR. 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
- 01.2021 – 10.2024 Ph.D. in Informatics at TecO, KIT, Germany. Doctor degree with the highest distinction (summa cum laude).
- 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
- JuBot: Jung 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
- EUHub4Data – 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
RESEARCH
Available Thesis
- No specific thesis, intuitive topics in edge AI, distributed AI, or neuromorphic hardware are always welcome.
Finished/Running Thesis
- Learnable and Tunable Nonlinear Circuits for Printed Neuromorphic Circuits (finished with Zhidong Yang, M.Sc.)
- Weights Assimilation for Split Manufacturing of Printed Neuromorphic Circuits (finished with Siyan Li, B.Sc.)
- Training of quantized Neural Networks with ADMM Approach (finished with Xue Ma. M.Sc.)
- A Web-based Platform for Automatic Feature Engineering (finished with Keyi Li, B.Sc.)
- Neural Evolution for Augmenting Topologies in Printed Neuromorphic Circuits (finished with Yuhong Wang, M.Sc.)
- Equality and Inequality constraints in machine learning through augmented Lagrangian (finished with Yiyi Wang, B.Sc.)
PUBLICATION
2025
Power-Constrained Printed Neuromorphic Hardware Training
Gheshlaghi, T.; Zhao, H.; Pal, P.; Hefenbrock, M.; Beigl, M.; B. Tahoori, M.
2025. 62nd Design Automation Conference (DAC) 2025
Gheshlaghi, T.; Zhao, H.; Pal, P.; Hefenbrock, M.; Beigl, M.; B. Tahoori, M.
2025. 62nd Design Automation Conference (DAC) 2025
Neural Evolutionary Architecture Search for Compact Printed Analog Neuromorphic Circuits
Zhao, H.; Pal, P.; Hefenbrock, M.; Wang, Y.; Beigl, M.; Tahoori, M. B.
2025. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1–14. doi:10.1109/TCAD.2024.3524357
Zhao, H.; Pal, P.; Hefenbrock, M.; Wang, Y.; Beigl, M.; Tahoori, M. B.
2025. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1–14. doi:10.1109/TCAD.2024.3524357
ADAPT-pNC: Mitigating Device Variability and Sensor Noise in Printed Neuromorphic Circuits with SO Adaptive Learnable Filters
Gheshlaghi, T.; Pal, P.; Zhao, H.; Hefenbrock, M.; Beigl, M.; Tahoori, M. B.
2025. Institute of Electrical and Electronics Engineers (IEEE). doi:10.5445/IR/1000178050
Gheshlaghi, T.; Pal, P.; Zhao, H.; Hefenbrock, M.; Beigl, M.; Tahoori, M. B.
2025. Institute of Electrical and Electronics Engineers (IEEE). doi:10.5445/IR/1000178050
Fit2Ear Dataset
Zhao, H.; Röddiger, T.; Feng, Y.; Beigl, M.
2025, März 5. doi:10.35097/LuEUQApwxQrvGfKm
Zhao, H.; Röddiger, T.; Feng, Y.; Beigl, M.
2025, März 5. doi:10.35097/LuEUQApwxQrvGfKm
2024
Algorithm-Driven Design and Optimization of Printed Analog Neuromorphic Circuits. Dissertation
Zhao, H.
2024, November 5. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000175711
Zhao, H.
2024, November 5. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000175711
Neural Architecture Search for Highly Bespoke Robust Printed Neuromorphic Circuits
Pal, P.; Zhao, H.; Gheshlaghi, T.; Hefenbrock, M.; Beigl, M.; Tahoori, M. B.
2024. ACM Digital Library. doi:10.5445/IR/1000172645
Pal, P.; Zhao, H.; Gheshlaghi, T.; Hefenbrock, M.; Beigl, M.; Tahoori, M. B.
2024. ACM Digital Library. doi:10.5445/IR/1000172645
MLP-HAR: Boosting Performance and Efficiency of HAR Models on Edge Devices with Purely Fully Connected Layers
Zhou, Y.; King, T.; Zhao, H.; Huang, Y.; Riedel, T.; Beigl, M.
2024. 2024 ACM International Symposium on Wearable Computers (ISWC ’24)
Zhou, Y.; King, T.; Zhao, H.; Huang, Y.; Riedel, T.; Beigl, M.
2024. 2024 ACM International Symposium on Wearable Computers (ISWC ’24)
Fit2Ear: Generating Personalized Earplugs from Smartphone Depth Camera Images
Zhao, H.; Röddiger, T.; Yufei, F.; Beigl, M.
2024. ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp ’24), 679 – 684, Association for Computing Machinery (ACM). doi:10.1145/3675094.3680525
Zhao, H.; Röddiger, T.; Yufei, F.; Beigl, M.
2024. ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp ’24), 679 – 684, Association for Computing Machinery (ACM). doi:10.1145/3675094.3680525
ExTea: An Evolutionary Algorithm-Based Approach for Enhancing Explainability in Time-Series Models
Huang, Y.; Zhou, Y.; Zhao, H.; Fang, L.; Riedel, T.; Beigl, M.
2024. Springer. doi:10.5445/IR/1000171098
Huang, Y.; Zhou, Y.; Zhao, H.; Fang, L.; Riedel, T.; Beigl, M.
2024. Springer. doi:10.5445/IR/1000171098
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.
2024. Mobile and Ubiquitous Systems: Computing, Networking and Services – 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14–17, 2023, Proceedings, Part II. Ed.: A. Zaslavsky, 15 – 27, Springer Nature Switzerland. doi:10.1007/978-3-031-63992-0_2
Huang, Y.; Zhao, H.; Zhou, Y.; Riedel, T.; Beigl, M.
2024. Mobile and Ubiquitous Systems: Computing, Networking and Services – 20th EAI International Conference, MobiQuitous 2023, Melbourne, VIC, Australia, November 14–17, 2023, Proceedings, Part II. Ed.: A. Zaslavsky, 15 – 27, Springer Nature Switzerland. doi:10.1007/978-3-031-63992-0_2
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)
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)
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)
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)
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). doi:10.1109/ETS61313.2024.10567964
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). doi:10.1109/ETS61313.2024.10567964
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:10.1145/3659589
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:10.1145/3659589
Analog Printed Spiking Neuromorphic Circuit
Pal, P.; Zhao, H.; Shatta, M.; Hefenbrock, M.; Mamaghani, S. B.; Nassif, S.; Beigl, M.; B. Tahoori, M.
2024. 2024 Design, Automation and Test in Europe Conference (DATE), 6 S., Institute of Electrical and Electronics Engineers (IEEE)
Pal, P.; Zhao, H.; Shatta, M.; Hefenbrock, M.; Mamaghani, S. B.; Nassif, S.; Beigl, M.; B. Tahoori, M.
2024. 2024 Design, Automation and Test in Europe Conference (DATE), 6 S., Institute of Electrical and Electronics Engineers (IEEE)
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). doi:10.1109/PerComWorkshops59983.2024.10502894
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). doi:10.1109/PerComWorkshops59983.2024.10502894
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)
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)
Unsupervised Personalized Deep Learning for Wearable Human Activity Recognition
Huang, Y.; Zhou, Y.; Zhao, H.; Riedel, T.; Beigl, M.
2024. Springer
Huang, Y.; Zhou, Y.; Zhao, H.; Riedel, T.; Beigl, M.
2024. Springer
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/1000164433
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/1000164433
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
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
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/ICCAD57390.2023.10323917
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/ICCAD57390.2023.10323917
Neural Evolution for Augmenting Topologies in Printed Neuromorphic Circuits. Masterarbeit
Wang, Y.
2023, September 15. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000162524
Wang, Y.
2023, September 15. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000162524
Automated Feature Engineering for Time Series Data. Bachelorarbeit
Li, K.
2023, August 1. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000161671
Li, K.
2023, August 1. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000161671
Training Quantized Neural Networks with ADMM Approach. Masterarbeit
Xue, M.
2023, August 1. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000161571
Xue, M.
2023, August 1. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000161571
Highly-dependable printed neuromorphic circuits based on additive manufacturing
Zhao, H.; Hefenbrock, M.; Beigl, M.; Tahoori, M. B.
2023. Flexible and Printed Electronics, 8 (8), Art.-Nr.: 025018. doi:10.1088/2058-8585/acd8cd
Zhao, H.; Hefenbrock, M.; Beigl, M.; Tahoori, M. B.
2023. Flexible and Printed Electronics, 8 (8), Art.-Nr.: 025018. doi:10.1088/2058-8585/acd8cd
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)
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)
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)
Zhao, H.; Hefenbrock, M.; Beigl, M.; Tahoori, M. B.
2023. 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE)
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), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/DATE56975.2023.10136891
Zhao, H.; Hefenbrock, M.; Beigl, M.; Tahoori, M. B.
2023. 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 1–6, Institute of Electrical and Electronics Engineers (IEEE). doi:10.23919/DATE56975.2023.10136891
2022
Learnable Nonlinear Circuit for Printed Neuromorphic Circuits. Masterarbeit
Yang, Z.
2022, Dezember 30. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000158920
Yang, Z.
2022, Dezember 30. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000158920
Weights Assimilation for Split Manufacturing of Printed Neuromorphic Circuits. Bachelorarbeit
Li, S.
2022, Dezember 30. doi:10.5445/IR/1000158919
Li, S.
2022, Dezember 30. doi:10.5445/IR/1000158919
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:10.1145/3508352.3549411
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:10.1145/3508352.3549411
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:10.1145/3544794.3558479
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:10.1145/3544794.3558479
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:10.1145/3544794.3558467
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:10.1145/3544794.3558467
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:10.1145/3550314
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:10.1145/3550314
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:10.1145/3544794.3558461
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:10.1145/3544794.3558461
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
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
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
2020
Zustandsrekonstruktion mit wenigen Messungen durch Kombination von Kalman-Filterung und Compressive-Sensing. Masterarbeit
Zhao, H.
2020, November 15. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000158992
Zhao, H.
2020, November 15. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000158992