Staff Achievements 2025
Prof K M Luk, Chair Professor of EE, has been selected to receive the 2025 IEEE AP-S Chen-To Tai Distinguished Educator Award for his significant contributions in education of antenna theory, design and applications. The award will be presented at the 2025 IEEE International Symposium on Antennas and Propagation and North American Radio Science Meeting, which will take place at the Rogers Centre in Ottawa, Canada, in July 2025.
IEEE Antennas and Propagation Society (IEEE AP-S) is recognized as the leading society in the antenna field in the world. The Chen-To Tai Distinguished Educator Award was established in 2000 to recognize the individual who has given outstanding service to education in the field of antennas and propagation, who exemplifies the special humanities of Chen-To Tai, and whose exemplary career in teaching and research represents the highest qualities of service. Prof Luk’s lifelong dedication to teaching and research in the field of antennas and propagation earns him this great achievement.
Professor Derrick Jiang (Assistant Professor of EE) and his research team have been honored with the Y-LOT’s 3rd Hong Kong SciTech Pioneers Award 2023-2024, in recognition of their outstanding dedication and contributions to emerging technologies for electric vehicles.
The award, hosted by Y-LOT Foundation and sponsored by Herson Land and Innovation and Technology Commission (ITC), aims to recognize and celebrate the valuable contributions of outstanding scientists and research teams in the fields of Deep Tech, Biotechnology, Space Science, ESG, and Future Innovation. Prof Jiang is the awardee in the Deep Tech category.
Prof Arindam Basu (Professor of EE) and his PhD students, namely Mr Pao Sheng Sun and Miss Biyan Zhou, have published a paper in the top journal – Nature Communications, on 11 February 2025. The paper titled “The neuro bench framework for Benchmarking Neuromorphic Computing Algorithms and Systems” is a collaborative work with scholars coming from a worldwide consortium on brain-inspired or neuromorphic computing spanning 57 institutes. Authors are grouped based on contributions. The team primarily developed the main algorithm track results on the non-human primate motor prediction task, one out of only four benchmark tasks chosen from around the world.
This Nature Communications paper can be found at https://www.nature.com/articles/s41467-025-56739-4. To give you a glimpse of the research work, here is a quote from the abstract: This article presents NeuroBench, a benchmark framework for neuromorphic algorithms and systems, which is collaboratively designed from an open community of researchers across industry and academia. NeuroBench introduces a common set of tools and systematic methodology for inclusive benchmark measurement, delivering an objective reference framework for quantifying neuromorphic approaches in both hardware-independent and hardware-dependent settings. For latest project updates, visit the project website (neurobench.ai).
The collaborative research team led by Prof Arindam Basu (Professor of EE) and Prof Haoliang Li (Assistant Professor of EE), has published a paper in the top journal – Nature Communications, on 29 January 2025.
Title: Efficient nonlinear function approximation in analog resistive crossbars for recurrent neural networks
Authors:
- Prof Arindam Basu (Professor of EE, CityUHK)
- Prof Haoliang Li (Assistant Professor of EE, CityUHK)
- Mr Junyi Yang - first author, Mr Shuai Dong and Mr Pao Sheng Sun (PhD student at CityUHK supervised by Prof Arindam Basu)
- Mr Yichuan Cheng (PhD student at CityUHK supervised by Prof Haoliang Li)
- Prof Can Li (Assistant Professor, The University of Hong Kong)
- Mr Ruibin Mao - first author and Mr Mingrui Jiang (PhD student, The University of Hong Kong)
- Dr Giacomo Pedretti, Dr Xia Sheng and Mr Jim Ignowski (Hewlett Packard Labs, Hewlett Packard Enterprise, Milpitas, CA, USA)
This Nature Communications paper can be found at https://www.nature.com/articles/s41467-025-56254-6. To give you a glimpse of the research work, here is a quote from the abstract:
In this work, we experimentally demonstrate the implementation of a non-linear activation function integrated with a ramp analog-to-digital conversion (ADC) at the periphery of the memory to improve in-memory implementation of RNNs. Our approach uses an extra column of memristors to produce an appropriately pre-distorted ramp voltage such that the comparator output directly approximates the desired nonlinear function. We experimentally demonstrate programming different nonlinear functions using a memristive array and simulate its incorporation in RNNs to solve keyword spotting and language modelling tasks. Compared to other approaches, we demonstrate manifold increase in area-efficiency, energy-efficiency and throughput due to the in-memory, programmable ramp generator that removes digital processing overhead.
The collaborative research team led by Prof Cheng Wang (Associate Professor of EE) and Prof Edwin Pun (Chair Professor of EE), has published a paper in the top journal – Nature Photonics, on 27 January 2025.
Title: Integrated lithium niobate photonic millimetre-wave radar
Authors:
- Prof Cheng Wang (Associate Professor of EE, CityUHK)
- Prof Edwin Pun (Chair Professor of EE, CityUHK)
- Dr Yiwen Zhang- first author (PhD graduate in Feb 2025 at CityUHK supervised by Prof Cheng Wang)
- Dr Hanke Feng (Postdoctoral Fellow of EE, CityUHK)
- Mr Yongji Wang (PhD student of CHEM, CityUHK)
- Prof Sha Zhu – first author (Nankai University)
- Academician Ning Hua Zhu (Nankai University)
- Miss Jiaxue Feng (Beijing University of Technology)
- Mr Kunpeng Zhai (Institute of Semiconductors, Chinese Academy of Sciences)
This Nature Photonics paper has been selected as the front cover for the February issue. The paper can also be found at https://www.nature.com/articles/s41566-024-01608-7. To know more about the research work, please visit the research story here.
Prof Din-ping Tsai has been elected the Fellow of the Hong Kong Academy of Engineering (HKAES) 2024, a supreme recognition of his outstanding expertise and remarkable contributions to the field of Nanophotonics and Meta-devices. A total of 11 Fellows were newly elected in 2024.
Established in 1994, the Hong Kong Academy of Engineering (HKAE) is a prestigious organization dedicated to the promotion and advancement of the field of engineering in Hong Kong. HKAE aims to foster collaboration, innovation, and excellence in engineering, contributing to the advancement of society and the development of Hong Kong and our Nation. It comprises a distinguished group of Fellows from various disciplines, recognized as leaders in their profession, with remarkable achievements in engineering sciences and applications. For more details, please have a look at the HKAE press release.
Prof Cheng Wang, Associate Professor of EE, has been awarded the 2024 DAMO Academy Young Fellow Award by Alibaba DAMO Academy. He is one of the 15 outstanding young scientists being selected for this award across the country.
The award, organized by Alibaba DAMO Academy and supported by Alibaba Foundation, aims to support young scholars to become pioneers and leaders in making innovations and breakthroughs in some of the key tech fields in China, to help them to play a leading role in core scientific research programmes and eventually grow into backbone of China's sci-tech research. Areas include information science and engineering, emerging and interdisciplinary subjects, mathematics, physics, chemistry, materials, life sciences, medicine, astronomy, geography, agronomy, and atmospheric science. You may refer to the official website (English or Chinese) for more details.
More details about this good news can also be found at CityU NewsCentre.