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Dr Pauli Lai and Dr Haibo Hu won the Faculty Awards for Outstanding Achievement 2022

We are pleased to share that Dr Pauli Lai and Dr Haibo Hu won the 2022 Faculty Individual Merit Awards for Outstanding Achievement in Teaching, and Research and Scholarly Activities (Outstanding Researcher) respectively! The winners are chosen by the Faculty Assessment Panel, comprising Heads and chaired by the Dean of Faculty Engineering, from amongst a pool of well-qualified nominees put forward by individual departments. The selection is made with reference to the indicative criteria for assessment as laid down by the University to recognize the awardees for their outstanding performances in the related areas. Congratulations to Dr Lai and Dr Hu for their achievements!

15 Jul, 2022

2022-07 Cybersecurity Purple Team Competition 2022

1st Runner Up in Cybersecurity Purple Team Competition 2022

Led by Dr Haibo Hu, our Capture The Flag (CTF) team won the 1st Runner Up in the Cybersecurity Purple Team Competition 2022! The competition was organized by the Cybersecurity Centre of the Hong Kong Institute of Vocational Education. It aims to arouse the interest of the public in cybersecurity and nurture talents for the industry. The team members, including Cheng Shiu Wang Ethan (BSc in IMT student), Leung Hon Lam (BSc in INS student), Ng Cheuk Wing (BSc in INS student) and Sham Wing Chung (COMP student), participated in the trainings provided by the Cybersecurity Centre in May, and the competitions on 14 and 28 May 2022 to compete with other contestants from different institutions on the challenges which were integrated with the red, blue and purple teams’ security elements.

6 Jul, 2022

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The EIE Newsletter (2021/22 Semester 2 Issue) is available now

The EIE Newsletter (2021/22 Semester 2 Issue) is available now

4 Jul, 2022

News

2022-07 Team Photo

Winning in Global Social Innovation Summit 2022

Our BEng in EIE student, Rizalino Antonio LABOS, won the Champion in the Accenture Case in the Global Social Innovation Summit 2022 between 18 and 19 June 2022 together with three teammates from The Hong Kong University of Science and Technology. The Summit was organized by the Enactus Hong Kong to inspire university students to explore issues related to the green economy and promote the concepts of social innovation. The contestants were required to solve real-life cases from international corporations and social businesses. The winning team proposed to develop a VR experience and reward tracking app that could encourage the Accenture employees to adopt a sustainable lifestyle.  

4 Jul, 2022

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The Champion of IET ROV Design Competition 2022 - Engineering & Entrepreneurship Club members

Congratulations to the Engineering & Entrepreneurship Club members on winning the championship of the Hong Kong Regional Underwater Robot Challenge 2022 Design Competition (Explorer Class)! Due to COVID-19, the competition was held online. In this competition, the team designed an underwater robot that can achieve various tasks related to the sustainable development of ocean science. The team members presented different features of the underwater ROV and answered questions from the judging panel. The whole process was very exciting. In the meantime, it was also challenging. This is because most of the team members do not possess sufficient hands-on experience in underwater robot design, whilst they needed to complete the job in a concise time frame. However, they could still demonstrate their commitment and interest in working and improving their design continuously. We really appreciate the team’s efforts. Their hard work led to this great accomplishment. We are very proud to know a professional competition recognizing the team members’ design, efforts, knowledge, and skill. We congratulate the team and all its members for earning such high honours.

1 Jul, 2022

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EIE student swept three prizes in the Learning to Learn (L2L) Video Contest

Our BSc in Internet and Multimedia Technologies programme student, Lee Ka Yin, swept three prizes including the Best Video Award (Silver), the Best Interpretation Award and the Best Message Delivery Award, for his video entitled “Wasted 4 years in filmmaking, here’s what I learnt”  on sharing his film production learning experience in the Learning to Learn (L2L) Video Contest! The Contest was organized by the Educational Development Centre and the Communities of Practice of PolyU from March to May 2022. It invited students and teachers to create short videos to share their insights and discoveries with a view to helping others to become better learners.

11 Jun, 2022

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PolyU Faculty Seminar Series: Faculty of Engineering

Date: 16 May 2022 Time: 7:30 - 9:00pm Link: https://www.polyu.edu.hk/geo/prospective-students/undergraduate/local/faculty-seminar-series/

16 May, 2022

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Seminar on Intelligent Reflecting Surace Empowered 6G Wireless Network

Prof. Rui ZHANG from the National University of Singapore will conduct a seminar titled "Intelligent Reflecting Surface (IRS) Empowered 6G: Fundamentals, Applications and Challenges" on 11 May 2022, at 4:00 pm (HK Time), via MS Teams at https://polyu.hk/gvwCD.

11 May, 2022

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11 May 2022 Faculty Seminar Series

11 May 2022 Faculty Seminar Series   The Faculty Seminar Series (理大八大學院巡禮) have been successfully delivered between 11 and 19 May 2022. Over 2,000 potential students, along with their parents and teachers, have registered for the series. Through the presentations, the participants have a better understanding of the latest development of our faculties/schools/departments and the new features of your undergraduate programmes.  In return, we facilitate them to make informed choices and submit appropriate applications.    Please view videos via the link below: https://www.youtube.com/watch?v=GDruq-pfQwg&list=PLwO7isQrTKhS6Joic1bmFIsz6i7CmQbsL

11 May, 2022

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2022 IEEE Communications Society Young Author Best Paper Award

Dr Shuowen Zhang attained the 2022 IEEE Communications Society Young Author Best Paper Award for her paper “Cellular-Enabled UAV Communication: A Connectivity-Constrained Trajectory Optimization Perspective” published in the IEEE Transactions on Communications in March 2019! This award honors the authors of an especially meritorious paper dealing with a subject related to the IEEE Communications Society Society’s technical scope and who, upon the date of submission of the paper, is less than 30 years of age. Integrating the unmanned aerial vehicles (UAVs) into the cellular network is envisioned to be a promising technology to significantly enhance the communication performance of both UAVs and existing terrestrial users. In this paper, Dr Zhang’s research team first provide an overview on the two main research paradigms in cellular UAV communications, namely, cellular-enabled UAV communication with UAVs as new aerial users served by the ground base stations (GBSs), and UAV-assisted cellular communication with UAVs as new aerial communication platforms serving the terrestrial users. Then, they focus on the former paradigm and study a new UAV trajectory design problem subject to practical communication connectivity constraints with the GBSs. They aim to minimize the UAV's mission completion time by optimizing its trajectory, subject to a quality-of-connectivity constraint of the GBS-UAV link specified by a minimum receive signal-to-noise ratio target, which needs to be satisfied throughout its mission. To tackle this challenging non-convex optimization problem, they first propose an efficient method to verify its feasibility via checking the connectivity between two given vertices on an equivalent graph. Next, by examining the GBS-UAV association sequence over time, they obtain useful structural results on the optimal UAV trajectory, based on which two efficient methods are proposed to find high-quality approximate trajectory solutions by leveraging the techniques from graph theory and convex optimization. The proposed methods are analytically shown to be capable of achieving a flexible tradeoff between complexity and performance, and yielding a solution in polynomial time with the performance arbitrarily close to that of the optimal solution.

1 Apr, 2022

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