• MEng: 1) Electronic Information

• MS：1)Intelligent Science and Technology

• Ph.D: 1) Electronic Information; 2) Intelligent Science and Technology;

Wu Hancong, Ph.D., is an associate professor and doctoral supervisor at the School of Future Technology, South China University of Technology, and a member of IEEE. Mainly engaged in theoretical research and technical application of intelligent sensing, wearable computing, human-computer interaction, electrical impedance imaging, tactile perception and prosthetic robots. More than 30 papers have been published in important international journals and conferences, and four best paper/Poster awards have been won at international conferences. Currently serving as a reviewer and editor for the journal "Frontiers in Electronics", and a reviewer for more than ten SCI professional journals such as "IEEE Transactions on Neural Systems and Rehabilitation Engineering".

• Intelligent sensing, wearable computing, human-computer interaction, electrical impedance imaging, tactile perception and prosthetic robots

• H. Wu, M. Dyson, and K. Nazarpour, Internet of Things for beyond-the-laboratory prosthetics research,  Philosophical Transactions of the Royal Society A, vol. 380, no. 2228 pp. 20210005, 2022.

• H. Wu, M. Dyson, and K. Nazarpour, Arduino-Based Myoelectric Control: Towards Longitudinal Study of Prosthesis Use, Sensors, vol. 21, no. 3, p. 763, 2021.

• H. Jones, H. Wu et al., Co-creation facilitates translational research on upper limb prosthetics, Prosthesis, vol. 3, no. 2, pp. 110-118, 2021.

• R. Ogawa, A. Hallas-Potts, H. Wu, J. Jia, and P. O. Bagnaninchi, Measuring 3D cell culture viability in multiple 3D printed scaffolds within a single miniature electrical impedance tomography sensor, Advanced Engineering Materials, vol. 23, No. 10, 2100338, 2021.

• S. Liu, Y. Huang, H. Wu, C. Tan, and J. Jia, Efficient multi-task structure-aware sparse Bayesian learning for frequency-difference electrical impedance tomography, IEEE Transactions on Industrial Informatics, vol. 17, No. 1, pp.463-472, 2021.

• H. Wu, M. Dyson, and K. Nazarpour,  Arduino-based embedded system for myoelectric hand prostheses, in the 27th IEEE International Conference on Electronics Circuits and Systems (ICECS), Glasgow, UK, 2020.

• H. Wu, M. Dyson, and K. Nazarpour,  Live demonstration: Real-time myoelectric control with an Arduino, in the 27th IEEE International Conference on Electronics Circuits and Systems (ICECS), Glasgow, UK, 2020.  

• H. Wu, Y. Yang, P. Bagnaninchi, and J. Jia, Calibrated frequency-difference electrical impedance tomography for 3D tissue culture monitoring, IEEE Sensors Journal, vol. 19, no. 18, pp.7813-7821, 2019.

• Y. Yang, H. Wu, J. Jia, and P. Bagnaninchi, Scaffold-based 3-D cell culture imaging using a miniature electrical impedance tomography sensor, IEEE Sensors Journal, vol. 19, no. 20, pp. 9071-9080, 2019.

• S. Liu, H. Wu, Y. Huang, Y. Yang and J. Jia, Accelerated structure-aware sparse Bayesian learning for 3D electrical impedance tomography, IEEE Transactions on Industrial Informatics, vol. 15, no. 9, pp. 5033-5041, 2019.

• H. Wu, Y. Yang, P. Bagnaninchi, and J. Jia, Electrical impedance tomography for real-time and label-free cellular viability assays of 3D tumour spheroids, Analyst, vol. 143, no.17, pp. 4189-4198, 2018.

• H. Wu, W. Zhou, Y. Yang, J. Jia, and P. Bagnaninchi, Exploring the potential of electrical impedance tomography for tissue engineering applications, Materials, vol. 11, no. 6, p. 930, 2018.

• X. Yin, H. Wu (Co-first author), J. Jia, and Y. Yang, A micro EIT sensor for real-time and non-destructive 3-D cultivated cell imaging, IEEE Sensors Journal, vol. 18, no. 13, pp. 5402-5412, 2018.  

• W. Gamal, H. Wu, I. Underwood, J. Jia, S. Smith, and P. Bagnaninchi, Impedance-based cellular assays for regenerative medicine, Philosophical Transactions of the Royal Society B, vol. 373, no.1750, p. 20170226, 2018.

• Y. Yang, H. Wu, and J. Jia, Image reconstruction for electrical impedance tomography using enhanced adaptive group sparsity with total variation, IEEE Sensors Journal, vol. 17, no. 17, pp. 5589-5598, 2017.

• H. Wu, Y. Yang, P. O. Bagnaninchi, and J. Jia, Imaging cell-drug response in 3D bioscaffolds by electrical impedance tomography, presented at 2017 IEEE International Conference on Imaging Systems and Techniques (IST), Beijing, China, 2017