News

Joint Career Talk of Aviation Programmes

A joint career talk specially organized for students of BSc (Hons) in Aviation Operations and Systems (offered by Department of Industrial and Systems Engineering), BBA (Hons) in Aviation Management and Logistics (offered by Department of Logistics and Maritime Studies), and BEng (Hons) Scheme in Aviation Engineering (Aviation Engineering / Air Transport Engineering) (offered by Department of Aeronautical and Aviation Engineering) was successfully held on 29 March 2024. The event attracted over 80 interested students, including graduating year students looking for employment as well as students seeking internships in the middle of their studies. Some recently graduated alumni also attended to share their job hunting and working experiences in the aviation industry. Representatives from the following companies were invited to come to share valuable first-hand information about the job opportunities and career prospects with our students. Hong Kong Airport Authority Hong Kong Air Cargo Carrier Limited Aviation Security Company Limited Aerovision Technology Limited

ISE students awarded the Champion Team in 2024 Hong Kong Logistics Case Competition & Workshop

In the 2024 Hong Kong Logistics Case Competition & Workshop, an open competition organized by the Hong Kong Logistics Association (HKLA), the Champion Team was awarded to Mr. CHU Wang Cheung (Victor), Miss MAO Jianing (Janine), and Miss ZHENG Si. From February 23 to 25, 2024, our talented trio, who are currently studying in the BSc (Hons) in Logistics Engineering with Management (LEM), visited Hankyu Hanshin Express (HK) Ltd. During the visit, they tackled a challenging problem from the environmental, social, and governance (ESG) perspectives. Their hard work paid off as they developed a comprehensive solution to enhance goods safety during time-critical operations. Congratulations to the winners and, we are incredibly proud of our students for their excellent performance in this open competition.

Welcome to Dr. LAU and his Students from the University of Miyazaki

On 24th November 2023, Dr. Carman Lee and Dr. Paul Tsang were delighted to host a group of eight students from the Faculty of Regional Innovation at the University of Miyazaki. This visit, led by the esteemed academic Dr. Chung Ming LAU, is a shining example of the collaborative spirit between international academic institutions. Highlighting the visit was a tour of our state-of-the-art cyber physical system laboratory, where the students from the University of Miyazaki gained firsthand experience in the innovative technologies and cutting-edge research being conducted at PolyU. The lab, known for its advancements in integrating computational algorithms with physical processes, offered the visiting students a glimpse into the future of industrial engineering. We are committed to nurturing global partnerships that enhance educational experiences and drive innovation. We are grateful to Dr. LAU and his students for their visit and look forward to future exchanges that will continue to strengthen our bonds with the international academic community.

ISE PhD student won the outstanding paper award in the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2023

Mr. K. T. Chung, a PhD student under the guidance of Dr. Carman Lee and Dr. Paul Tsang, received the Outstanding Paper Award at the IEEE International Conference on Industrial Engineering and Engineering Management (IEEM) 2023. In an impressive gathering of scholars and professionals at the conference, which took place in Singapore from December 18 to 21, 2023, Mr. Chung's paper titled "Solving Capacitated and Time-constrained Vehicle Routing Problems by Deep Reinforcement Learning-based Method" was shortlisted (top 4% among all the submissions), and finally received the outstanding paper award for its innovative approach and significant contribution to the field of industrial engineering. The paper, which addresses complex logistical challenges through advanced deep reinforcement learning techniques, showcases the cutting-edge research being conducted by ISE researchers and highlights our commitment to fostering an environment where academic excellence and research innovation can thrive. We extend our heartiest congratulations to Mr. K. T. Chung on his well-deserved achievement and wish him further success in his academic pursuits and professional endeavors.

Dr. Zheng has been selected for the prestigious SME Outstanding Young Researcher Award in the class of 2024

Dr. Zheng has been selected for the prestigious SME Outstanding Young Researcher Award in the class of 2024. According to the SME statistical report, Dr. Zheng is the 4th Chinese Young Scholar working outside North America, who obtained this internationally recognized award, due to his significant contributions to smart human-robot collaborative manufacturing system field. About SME: Established in 1932, SME (The Society of Manufacturing Engineers) is a nonprofit organization dedicated to the advancement of manufacturing. SME leads the industrial ecosystem by elevating manufacturers, academia and the communities in which they operate. The organization is internationally recognized by manufacturing practitioners, companies and other organizations as their source for information, education, and networking. (SME: https://www.sme.org/) SME OYME Award: Since 1980, the SME Outstanding Young Manufacturing Engineer Award has recognized manufacturing engineers, age 35 or younger, who have made exceptional contributions and accomplishments in the manufacturing industry (https://www.sme.org/aboutsme/awards/outstanding-young-manufacturing-engineer-award/)

ISE PhD student is honored with the Best Student Paper Award at the 2023 International Conference on Electric Vehicle and Vehicle Engineering (CEVVE)

Mr. HU Dong from the Human-Oriented Intelligent Systems Lab (HOIS) was honored with the Best Student Paper Award at the 2023 International Conference on Electric Vehicle and Vehicle Engineering (CEVVE) held in Shenzhen, China, November 10-12, 2023. The objective of CEVVE is to provide a platform and opportunities for researchers, scientists, scholars and engineers to exchange their research experiences and share new ideas to promote their research progress in the field of Electric Vehicles and Vehicle Engineering through discussion on practical issues, challenges encountered as well as solutions adopted. The article 'Enhancing Autonomous Driving Following Motion Decision Making Through Model Based Policy Optimization' won the award and was written by Mr. HU Dong as the first author with Dr. HUANG Chao as the corresponding author. This article proposes an autonomous driving following strategy called Adaptive Rollout Model-based Policy Optimization, which greatly improves the safety, comfort, and economy of vehicles. Mr. HU Dong attended the award ceremony and presented the paper at the conference. Mr. HU Dong is currently a Ph.D. student in the ISE Department. He is supervised by Dr. HUANG Chao and is co-supervised by Dr. Lee Carman K.M. Congratulations to the team, and we wish them further success along the future research road.

ISE PhD student achievement in the 2023 IEEE ITSS Student Competition in Pedestrian Behavior Prediction

Mr. HU Fengqing, Mr. WANG Mingfeng, Dr. WU Jingda, and Dr. HUANG Chao from the Human-Oriented Intelligent Systems Lab (HOIS) achieved rank 2 and received 2nd prize in the 2023 IEEE ITSS Student Competition in Pedestrian Behavior Prediction. The 2023 IEEE ITSS Student Competition in Pedestrian Behavior Prediction was organized by the IEEE Intelligent Transportation Systems Society (IEEE ITSS), Technical Committee on Human-Centered AI in Transportation (HAIT). This competition aimed at advancing the research field of pedestrian behavior prediction, which is one of the most critical challenges for fully automated driving in urban settings. Research teams in the field of intelligent transportation from worldwide renowned universities were involved. The ISE team won the second prize with the project entitled “An Ensemble Multimodal-LSTM with Data Augmentation for Pedestrian Intention Prediction”, which was led by Mr. HU Fengqing and was supervised by Dr. HUANG Chao. The project aimed at producing more accurate and robust pedestrian behavior prediction methods based on deep neural networks to ensure the safety of both pedestrians and autonomous vehicles. Mr. HU Fengqing attended the award ceremony and presented the project at the 3rd Workshop on The Prediction of Pedestrian Behaviors for Automated Driving at ITSC 2023. Mr. HU Fengqing is currently a Ph.D. student from the Department of ISE. He is supervised by Dr. HUANG Chao and is co-supervised by Prof. FU Xiaowen. Mr. WANG Mingfeng is currently a MSc student from the Department of Applied Mathematics (AMA). He is working on his thesis with the Department of ISE on the topic of pedestrian intention. Dr. WU Jingda is currently a Postdoc researcher in the Department of ISE. He received his Ph.D. degree from Nanyang Technological University (NTU). His research interest lies in the intersection between reinforcement learning (RL) and autonomous electrified vehicles. Congratulations on their achievement, and we wish them further success on the future research road.

ISE PhD student won the Champion Award at the HKIE Control, Automation & Instrumentation Division “CA Paper Award Competition (Postgraduate level) 2022/23

ISE PhD students Tong ZHU and her supervisors Prof Suet TO and Dr Carman LEE won the Champion Award in the “CA Paper Award Competition (Postgraduate level) 2022/2023” organized by the Hong Kong Institution of Engineers (HKIE) – Control, Automation and Instrumentation Division (CAD) and co-organized by the Institute of Measurement and Control, Hong Kong Section. The award winning paper is titled as “Accurate Machining Cycle Time Prediction of UPM Using Data-driven Model”, supervised by Dr. Carman Lee and Prof Sandy To. The CA Paper Award Competition aims to promote Control, Automation & Instrumentation technologies and inspire young engineers and technologists to showcase their innovative ideas. Efficient cycle time prediction helps in the optimal utilization of resources such as labor, equipment, and materials, particularly in the Ultra- precision machining (UPM). The award winning paper aims to develop a data-driven model for achieving high accuracy in cycle time predictions, which is vital for improving efficiency, resource management, and cost-effectiveness in UPM. It offers a practical solution that can be implemented in real-world UPM environments, and contributes to the efficiency and competitiveness of the industry.

ISE graduates won the Champion Award at the HKIE Control, Automation & Instrumentation Division “CA Paper Award Competition (Undergraduate level) 2022/23

ISE graduates Sze Tung CHEUNG, Ho Hin CHEUNG, Mei Yan AU and Tsz Ting Angela YOUNG won the Champion award in the “CA Paper Award Competition (Undergraduate level) 2022/2023” organized by the Hong Kong Institution of Engineers (HKIE) – Control, Automation and Instrumentation Division (CAD) and co-organized by the Institute of Measurement and Control, Hong Kong Section. The awarded winning paper, titled “Collision avoidance and trajectory tracking for multiple autonomous mobile robots in the robot operating system”, was supervised by Dr. Carman Lee. The CA Paper Award Competition aims to promote Control, Automation & Instrumentation technologies and inspire young engineers and technologists to showcase their innovative ideas. With the increasing deployment of autonomous mobile robots in various industries, ensuring the safety and efficient operation of these autonomous mobile robots becomes crucial. The award winning paper focuses on collision avoidance and trajectory tracking to minimize accidents, damage, and disruptions in environments where these robots operate, such as warehouses, factories, hospitals, and other public spaces.

1st Place Winner in the 6th European International Conference on Industrial Engineering and Operations Management(IEOM)

Competition Type: Undergraduate Research Competition Organization: IEOM Society   Paper Title: Study of how the experience and behavior of consumers are affected by user experience (UX) design in the online fashion retailing industry Winners: Mau Wong Yeh, Mei Yan Au, Tsz Ting Angela Young & Ka Man Lee Abstract This research intends to analyze the relationship between the perception attributes of user experience design influence their perceived value and customer loyalty. In accordance with the hypotheses model that being developed with the foundation of technology acceptance model and other research models in investigating customer fulfilment, customers were required to complete a simulation of online fashion shopping along with evaluation of their shopping experience for the distinguishment for the crucial perception of user experience attributes that result to customer loyalty as well as the examination of the relationships among constructs. This research has verified the relationships of the perception attributes of user experience design and the formulation of customer loyalty.     Competition Type: Undergraduate Student Paper Competition Organization: IEOM Society   Paper Title: Evaluating the effectiveness on AR filters: The mediating role of technology acceptance, customer satisfaction, loyalty, and behavioral intention. In 6th European International Conference on Industrial Engineering and Operations Management 2023 Jul 18, https://doi.org/10.46254/EU6.20230003. Winner: K.T. Luk; TT, Young; M.Y. Au; CKM Lee Abstract With the ubiquity of Augmented Reality (AR) technology, the behavior of mobile social media users is changed, and more users tend to use it daily. The trend of using AR filters is emerging, and the value of the AR market has kept increasing in recent years. Along with the growth of social commerce, marketing managers have started investing in AR technology like AR Filter to achieve the company's marketing goals and objectives. Hence, this research study the factors affecting the behavioral intention of AR Filter users in the Hong Kong catering industry to provide implications for marketing managers and AR Filter developers. A hypothesis model is formulated to investigate the relationship between the perceived value of the Technology Acceptance Model (TAM) and the Satisfaction-Loyalty Model and the effect on the behavioral intention of AR Filter users. The determinants of the perceived value of TAM are also studied to find out the factors affecting AR Filter users' behavioral intention to provide implications for the developers to create a better AR experience for the users. Questionnaire research is conducted, and the Structural Equation Model (SEM) approach is adopted to investigate the relationship between the constructs.