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
- 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
- Routing, placement, and architecture co-design for printed neuromorphic circuits
- Equality constraints in machine learning/evolutionary algorithms through augmented Lagrangian
- (other intuitive topics are also 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 (running)
PUBLICATION
2023
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)
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)
Neural Evolution for Augmenting Topologies in Printed Neuromorphic Circuits. Masterarbeit
Wang, Y.
2023, September 15. Karlsruher Institut für Technologie (KIT)
Wang, Y.
2023, September 15. Karlsruher Institut für Technologie (KIT)
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
Excerpt from “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.
2023. Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 244–245, Association for Computing Machinery (ACM). doi:10.1145/3544793.3563413
Röddiger, T.; Clarke, C.; Breitling, P.; Schneegans, T.; Zhao, H.; Gellersen, H.; Beigl, M.
2023. Adjunct Proceedings of the 2022 ACM International Joint Conference on Pervasive and Ubiquitous Computing and the 2022 ACM International Symposium on Wearable Computers, 244–245, Association for Computing Machinery (ACM). doi:10.1145/3544793.3563413
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)
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