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劉伯濤教授教授合編《Machine Learning for future Optical Communications Systems》(只有英文版本)

PRI core member, Prof. Alan LAU Pak-tao co-edited a book “Machine Learning for future Optical Communications Systems” and it is already available at Here and the e-version will be accessible by any library worldwide that has a subscription with Elsevier. Description Machine Learning for Future Fiber-Optic Communication Systems provides a comprehensive and in-depth treatment of machine learning concepts and techniques applied to key areas within optical communications and networking, reflecting the state-of-the-art research and industrial practices. The book gives knowledge and insights into the role machine learning-based mechanisms will soon play in the future realization of intelligent optical network infrastructures that can manage and monitor themselves, diagnose and resolve problems, and provide intelligent and efficient services to the end users. With up-to-date coverage and extensive treatment of various important topics related to machine learning for fiber-optic communication systems, this book is an invaluable reference for photonics researchers and engineers. It is also a very suitable text for graduate students interested in ML-based signal processing and networking.  

陳文博士受邀擔任《光學快訊》副主編 (只有英文版本)

PRI Member, Dr CHEN Wen has been invited to be an Associate Editor for "Optics Express" in OPTICA Publishing Group starting from 1 April 2022. Optica Publishing Group publishes high-quality, peer-reviewed articles in its portfolio of journals, which serve the full breadth of the optics and photonics community. Optics Express is the all-electronic, open-access journal for optics providing rapid publication for peer-reviewed articles that emphasize scientific and technology innovations in all aspects of optics and photonics. Additionally, Optics Express publishes papers dedicated to new developments in the science and engineering of light and their impact on sustainable energy, the environment, and green technologies in its dedicated section, Energy and Environmental Optics Express.   Please click the following links for details: https://opg.optica.org/oe/journal/oe/about.cfm#board

劉伯濤教授和中文大學研究團隊合作開發出最快的矽光子收發器 (只有英文版本)

Prof. Alan Pak Tao LAU, core member of PRI, and PolyU PhD student Xiong WU in collaboration with Prof. Hon Ki TSANG of CUHK developed the World’s fastest Germanium-Silicon(GeSi) on Silicon Photonics Transceiver at 216 Gb/s for Short-Reach Interconnects.   Abstracts For next generation highly integrated transceivers, silicon photonics (SiP) has attracted widespread interest in using mature CMOS production processes to manufacture high-yield, low-cost photonic integrated circuits (PIC) with the potential for integration with CMOS electronics. SiP now routinely integrate GeSi electroabsorption modulators (EAM) and GeSi waveguide photodiodes which have high responsivity and high bandwidth of over 65 GHz. Their ultra-compact dimensions make it possible for multi-channel transceivers to be realized on a small chip area. In this work, we joined forces with CUHK and combine our expertise in signal processing and device fabrication to demonstrate a world-record 216 Gb/s and 200 Gb/s over 1 km and  1.5 km fiber transmission respectively for GeSi-based modulators.   Please click HERE for more details.

譚華耀教授帶領研究團隊研發世界首個以光纖為基礎的數據驅動預測性維修系統 (只有英文版本)

Please check Here for his interview with TVB programme (Chinese Only)   Description:   Tremendous pressure is being imposed on railway operators to enhance service reliability and infrastructure maintenance to reduce disruption arising from train, track and overhead power line failures. This requires condition-monitoring systems that can effectively and continuously monitor mission-critical components to produce big data in respect of railway asset maintenance for the development of advanced fault identification and prediction techniques. PolyU developed the world’s first optical fibre-based data-driven predictive maintenance system that enables railway industry to shift from costly and inefficient scheduled maintenance regimes to predictive maintenance.  The system identifies defects in rail tracks, overhead power lines, wheel flats, and cracks in bogies and carriages. Five systems were installed in MTR Hong Kong and two in SMRT lines in Singapore in 2014, and 2016, respectively. The system monitors developing faults and had successfully predicted broken power line along the Amsterdam-Schiphol Airport Line in 2015, several weeks in advance. The goal is to herald a safer railway industry with reduced maintenance cost, and high quality of service. 

光子技術研究院研究人員柴揚博士及其團隊開發模擬視網膜的傳感器以提高儀器效率 (只有英文版本)

PRI researchers, Dr Chai Yang and his research teams, developed devices that can perceive objects in a light-intensity range substantially wider than that of state-of-the-art sensors based on silicon. Such instruments could improve the efficiency and reduce the complexity of machine-vision technology.   The research achievement has been published in Nature Electronics and selected as the “Research Highlights” in Nature journal. Please click the following links for details:   Nature Electronics:https://www.nature.com/articles/s41928-022-00713-1 Nature’s Research Highlights: https://www.nature.com/articles/d41586-022-00360-8

光子技術研究院研究人員譚華耀教授帶領研究團隊開發了光纖傳感器用於開創生物醫學監測能力 (只有英文版本)

The research team led by Prof. Tam Hwa-yaw, Associate Director of the Photonics Research Institute developed fibre-optic sensor for pioneering biomedical monitoring ability.   Please check Here for his interview with TVB programme: Innovation GPS (Chinese Only)   Description: Cochlear implantation surgery is the current standard of care to treat profound sensorineural hearing loss. The quality of hearing restored to a deaf patient vastly depends on accurate positioning of the Electrode Array of the cochlear implant while preserving the delicate cochlear membranes. PolyU fabricated novel ZEONEX based polymer optical fibers integrated with these cochlear implants aid in force detection and navigation in real-time during the implantation process. The low stiffness properties of these fibers compared to the widely used glass fibers can be considered as one of the key features that make them excellent candidates for this surgical prosthesis. The ZEONEX based polymeric fibers have also been incorporated in the assessment of femoral fracture recoveries. Femoral fracture is a life-threatening injury where early surgical stabilization is now the standard treatment for this injury to allow mobilization and rehabilitation. The outstanding flexibility of these novel fibers together with biocompatibility and insensitivity towards humidity permit them to be utilized with orthopaedic implants to estimate the recovery of the fractured femurs. This is carried out by observing the strain response of polymer optical fiber sensors to various loading and unloading conditions of the femurs.  

光子技術研究院成員獲得理工大學2021年知識轉移傑出成就校長獎（只有英文版本）

Further to the invitation of nominations in February 2021 and the subsequent assessment processes for The President’s Awards for Outstanding Achievement in Knowledge Transfer 2021 of PolyU. We are pleased to announce the following results of the Awards.   Team Awards  Faculty/School  Sub-category   Name of Awardee  Unit  FENG  Industry  Prof. Tam Hwa-yaw Ir Dr Lee Kang Kuen Dr S.Y.M. Liu Dr Stephen Cho Mr David H.Y. Au EE   Individual Awards  Faculty/School Sub-category Name of Awardee Unit FAST Society Dr Joanne Yip ITC   We take this opportunity to congratulate all the awardees for their achievements.

光子技術研究院和電子及資訊工程學系共同舉辦研討會 (只有英文版本)

Photonics Research Institute and Department of Electronic and Information Engineering co-organized a seminar with the topic of “Searching compact binaries using space-based photometric observations”. The seminar was successfully held on 24 February 2022 at 10 a.m. (Hong Kong Time) via Zoom. It was honor to invite Prof. Pak Hin (Thomas) Tam, Professor in the School of Physics and Astronomy at Sun Yat-Sen University in Mainland China, to be the keynote speaker in the seminar.   ABSTRACT The mass and orbital distribution of existing black holes and neutron stars in binaries can have important implications on binary massive stellar evolution, shedding light on gravitational wave astronomy. However, the known number of compact objects in binaries is orders of magnitude less than those predicted. Traditional ways to look for black holes (e.g., in X-ray binaries) are biased against wide binaries, and possibly mass-gap black holes. Recent studies employing radial velocity searches and optical photometry have started to reveal such systems less probed before. In recent years, exoplanet-search satellites such as Transiting Exoplanet Survey Satellite (TESS) have opened an era of high-precision photometry of a large number of stars. I demonstrate that TESS photometric data do contain periodicity signals of known pulsar-like systems, by observing the orbital period-modulated flux variation from the stellar companion. We have also made an estimate of searchable black hole binaries (~a few) in the field of Kepler. In the end of the talk, I will introduce the CSST Big Bay Area Science Center and the upcoming funding opportunities.      

譚華耀教授帶領研究團隊開發嶄新的超微細光纖傳感器

香港理工大學光子技術研究院副院長譚華耀教授帶領研究團隊，成功開發嶄新的超微細光纖傳感器，可以植入人體，為手術及治療過程提供更準確的醫學監測資訊。該傳感器名為「塑料邊孔光纖傳感器」，由先進光學塑料製成，這款超微細光纖傳感器不但具備生物相容性，而且質地柔軟，可感應人體內極微細的壓力變化。超微細光纖傳感器可細小至數微米，它對壓力的敏感度更比傳統的光纖傳感器高出20倍，而且不受濕度影響、不易折斷，並可抗化學腐蝕兼具生物相容性，未來將可更廣泛地應用於醫療領域當中。   「塑料邊孔光纖傳感器」的研究成果早前於美國光學學會的學術期刊《Optics Letters》中發表，而理大與其他大學合作的部分研究成果亦已獲得專利。   請點擊此處查看更多有關報告的詳細信息。

15位光子技術研究院學者獲列入全球排名首 2% 頂尖科學家名單（只有英文版本）

The latest top 2 percent Scientists complied by Standford University has been announced. The report was prepared by a team of experts led by Prof. John Ioannidis, the eminent Professor at the Stanford University. We are pleased to report that 15 PRI members have been recognised on this list. This recognition demonstrates PRI’s influence in multi disciplines and signifies our dedication in conducting world-class research.   Congratulations to our top scientists!   The full report can be downloaded from here.