James Chan

Industry Partnerships and Commercialisation Senior Executive

James joined Imperial in Sep 2021 as an Industry Partnerships and Commercialisation Senior Executive. He primarily takes care of IP and licensing cases from Department of Electrical and Electronic Engineering and Department of Computing. Prior to joining Imperial, James worked in The University of Hong Kong and The Chinese University of Hong Kong for more than a decade handling around several hundreds of inventions and a few thousands of patent applications/patents from the Faculties of Engineering, Science and Medicine, including a patent portfolio with multiple concurrent exclusive licensees, which generated more than 80% of the licensing income of the university, in the magnitude of mid-10 millions of US dollars per year. He also helped the university to develop the licensing policy for copyright materials, includes, software, database, evaluation/diagnosing questionnaire, multimedia files, etc. With his extensive experience in Tech Transfer, James was also invited to teach a module on “Intellectual Property Management and Technology Commercialisation” under the MSc in Electronic Engineering programme and part of the module on “Technology, Society and Engineering Practice” of the undergraduate programme of CUHK.

James is an Electronic Engineer by training, with degree from CUHK and Bachelor of Laws specialised in IP Laws from The University of London. He speaks English, Cantonese and Mandarin.

James' portfolio

Serverless Optimisation Tool

Serverless Optimisation Tool

The serverless optimization tool helps to reduce the cost of operating serverless software systems. Leveraging a model-based approach, the tool first predicts the performance of a serverless-based application. Then, using numerical optimization it recommends the optimal configuration of each function such that the total operating cost is minimized while meeting target performance requirements. Find out more

CogniSense

CogniSense

CogniSense is a remote condition-monitoring radio-frequency device. This technology can obtain more data than could ever be achieved with point-based sensors. Find out more

Neural Network Wireless IoT Device

Neural Network Wireless IoT Device

Efficient IoT sensor device, based on neural network training and very energy-efficient on-chip classification - over 3x energy saved vs standard wireless IoT sensor implementations. Find out more

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