Dr Haochuan Jiang

Research Associate

Email: 

Location: 

1.01 Alexander Graham Bell building

Research Institute: 

  • Digital Communications
Dr. Haochuan JIANG
Dr. Haochuan JIANG

Biography: 

Dr. Haochuan JIANG is currently a Post-doctoral Research Associate in the School of Engineering at the University of Edinburgh, Scotland, the United Kingdom.
 
Formerly, in 2019, Dr. Haochuan JIANG received the Ph.D. degree from the Department of Electrical Engineering and Electronics at the University of Liverpool, England, U.K. In 2013, he gained the M.Sc. degree from the Department of Mechanical Automation and Engineering at the Chinese University of Hong Kong, Shatin, N.T., HKSAR, P.R.China, while being placed on the Dean's List (top 5%); In 2011, he graduated from the School of Mechatronics of the China University of Mining and Technology, Quanshan, Xuzhou, Jiangsu, P.R. China, receiving the B.Eng. degree.
 
Apart from his academic experience and before pursuing his Ph.D. degree, Dr. Haochuan JIANG took the role as the new-tech researching engineer at the Commercial Robotic R&D Center of the ECOVACS Robotic Co. Ltd., Wuzhong, Suzhou, Jiangsu, P.R.China, in 2013. He also served as an intern researcher in the Platform and Content Group of the Tencent Tech., Nanshan, Shenzhen, Canton, P.R. China, in 2019, before joining the University of Edinburgh. 
 
Dr. Haochuan JIANG's current research interests lie in the field of deep machine learning models and algorithms, particularly in generative models, disentanglement representation learning, image segmentation, and medical image processing, etc.
 

Academic Qualifications: 

Ph.D. in Electrical Engineering and Electronics, University of Liverpool, England, U.K., 2019;

M.Sc. in Mechanical Automation and Engineering, the Chinese University of Hong Kong, Shatin, N.T., HKSAR, P.R.China, 2013;

B.Eng. in Mechatronical Engineering, China University of Mining and Technology, Quanshan, Xuzhou, Jiangsu, P.R.China, 2011.

Teaching: 

Teaching assisstant in the Department of Electrical and Electronic Engineering of the Xi'an Jiaotong-Liverpool University:

EE101/102: C/C++ Programming and Software Engineering (2014-2019);

EE103: Electric Circuits I (2014-2018);

EE116: Experimental, Computer Skills and Sustainability (primary tutor of the Matlab tutorials);

EE118: Engineering Drawing (2016-2018);

EE330: Digital Image Processing (2017-2018);

Research Interests: 

Deep machine learning models and algorithms, particularly in generative models, disentanglement reprensentation learning, image segmentation, and medical image processing, etc.

Further Information: 

Awards and Honours:

2018, Best Student Paper Award, International Conference on Brain Inspired Cognitve Systems;

2017, Best Paper Finalist Award, International Conference on Neural Information Processing;

2015, Full Ph.D. Scholarship, Department of Electrical Engineering and Electronics, University of Liverpool;

2013, Dean's List, Department of Mechanical Automation and Engineering, the Chinese University of Hong Kong.