Biography
Wen Qi, Ph.D., graduated from Politecnico di Milano, Italy. She is currently an Associate Researcher at South China University of Technology (SCUT). Her research interests include Human-Computer Interaction (HCI) and Smart Wearables. She has authored nearly 50 articles in international peer-reviewed journals and top international conferences. Her Google Scholar citations total 1678. She has received multiple Best Paper/Nomination Awards from IEEE journals and conferences, and in 2021, she was honored with the IEEE SMC Andrew P. Sage Best Transactions Paper Award. She has organized workshops and special sessions for several IEEE international academic conferences and served many international journals and academic organizations, including IEEE TASE, RA-L, EAAI, NCAA, TII, TCDS, ICRA, and IROS.
Recruiting Students: Master's students (Academic and Professional Degree)
Contact: wenqi@scut.edu.cn, wen.qi@ieee.org
Website
https://scholar.google.com/citations?hl=en&user=ORBBQcAAAAAJ&view_op=list_works&sortby=pubdate
Education Background
2015-2020, Ph.D., Politecnico di Milano, Italy
2012-2015, M.S., South China University of Technology, China
Projects
National Natural Science Foundation of China - Youth Science Fund Project, Host
Ministry of Education International Cooperation Project, 2023.06-2024.06, Host
Selected Publications
[1] Qi, Wen, Haoyu Fan, Hamid Reza Karimi, and Hang Su. An adaptive reinforcement learning-based multimodal data fusion framework for human–robot confrontation gaming. Neural Networks 164 (2023): 489-496.
[2] Qi, Wen, Haoyu Fan, Hamid Reza Karimi, and Hang Su. A Novel Bio-inspired Teleoperation Control of Anthropomorphic Dual Robotic Arm. ISA Transactions, 2023 in press
[3] Qi, Wen, and Hang Su. A cybertwin based multimodal network for ecg patterns monitoring using deep learning. IEEE Transactions on Industrial Informatics 18, no. 10 (2022): 6663-6670.
[4] Qi, Wen, and Andrea Aliverti. A multimodal wearable system for continuous and real-time breathing pattern monitoring during daily activity. IEEE journal of biomedical and health informatics 24, no. 8 (2019): 2199-2207.
[5] Qi, Wen, Salih Ertug Ovur, Zhijun Li, Aldo Marzullo, and Rong Song. Multi-sensor guided hand gesture recognition for a teleoperated robot using a recurrent neural network. IEEE Robotics and Automation Letters 6, no. 3 (2021): 6039-6045.
[6] Qi, Wen, Hang Su, and Andrea Aliverti. A smartphone-based adaptive recognition and real-time monitoring system for human activities. IEEE Transactions on Human-Machine Systems 50, no. 5 (2020): 414-423.
