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林建國教授在鳳凰衛視專訪中談及金屬轻量化技術突破及科研成果商業化的重要性

先進製造研究院副院長、材料技術講座教授、寶山鋼鐵股份有限公司─香港理工大學聯合研究中心主任、中車四方—香港理工大學超高速列車未來製造創新中心主任林建國教授，近日接受了鳳凰衛視的專訪。在採訪中，林教授介紹了他在輕金屬成形技術方面的創新成果，並強調了科研成果商業化的重要性。林教授還分享了他因理大卓越的科研實力和實際應用前景而選擇加入理大的原因。他亦指出，現代科學中複雜問題的解決需要多個學科的共同努力，跨學科合作對於推動科學創新至關重要。   網上報導: 鳳凰衛視- https://polyu.me/4qqtren                   https://polyu.me/4p79M1I  

林建國教授榮膺香港工程院院士

熱烈恭賀先進製造研究院副院長兼材料技術講座教授林建國教授，獲選為2025年度香港工程院院士。 林教授是金屬成形、材料技術及工藝建模領域的領軍專家。其研究專注於開發能夠模擬金屬成形過程中微觀結構演變及材料成形性的模型，適用於多種工程材料及應用領域。他率先開創了「熱成形Hot Form Quench（HFQ®）」技術，廣泛用於汽車及航空領域。此突破性技術能夠製造出複雜形狀、高強度的鋁製車輛零件，促進更輕量、更環保的汽車及飛機設計。 林教授的卓越工程成就備受肯定。2021年，他因對英國鈑金行業的傑出貢獻，獲得英國鈑金工程學會金獎。他亦入選史丹福大學編制的「全球前2%高被引科學家」名單，彰顯對該領域的貢獻。2013 年，林教授榮膺（英國）皇家工程院院士。  

PolyU builds advanced human-robot collaboration system, empowering high-end manufacturing tasks

Prof. ZHENG Pai, Member of Research Institute for Advanced Manufacturing, Wong Tit Shing Young Scholar in Smart Robotics and Associate Professor of Department of Industrial and Systems Engineering, together with his research team, has developed the “Mutual Cognitive Human-Robot Collaboration Manufacturing System” (MC-HRCMS).   This innovative system enables real-time perception of complex environments, accurate interpretation of operators’ intentions, and skill transfer through simple demonstrations. It can autonomously generate process codes and execute high-precision tasks, and is already being applied in advanced manufacturing scenarios such as autonomous aircraft drilling and electric vehicle battery disassembly.   The MC-HRCMS utilises advanced machine learning and 3D scene perception to enhance efficiency, safety, and seamless human-robot interaction in complex scenarios. Through industry collaborations, the team has customised and deployed these systems for leading enterprises, addressing demanding requirements for precision and complexity.   To tackle challenges in semi-structured and unstructured production, the team introduced a novel vision-language-guided planning framework that integrates Large Language Models, Deep Reinforcement Learning, and Mixed-Reality Head-Mounted Displays. This allows robots to analyse visual and linguistic cues, understand complex tasks, and collaborate with humans more effectively. The head-mounted device offers real-time data and guidance, redefining human-machine interaction.   Press Release: https://polyu.hk/GaibX

4位 RIAM 成員獲選為「2025年度全球最廣獲徵引研究人員」

熱烈恭賀四位先進製造研究院成員獲科睿唯安（Clarivate Analytics）評選為「2025年度最廣獲徵引研究人員」（Highly Cited Researchers 2025），其中一位成員同時入選兩個範疇。此項殊榮顯示他們在過去 11 年於各自領域的論文被引用次數排名位列全球前 1%，充分肯定其在學術與創新方面廣泛而持續的影響力。放諸全球的科學家和社會科學家中，最廣獲徵引研究人員的比例佔千分之一。   四位獲獎者展現了國際科研卓越與跨學科協作的力量。我們讚賞他們的奉獻、領導與貢獻，這不僅提升香港理工大學的國際地位，亦為香港、國家與世界帶來切實裨益。   按英文姓氏排列： 先進製造研究院成員 範疇 所屬學院／學系及職銜 劉樹平教授 跨領域 應用物理學系納米材料講座教授 楊光教授 跨領域 電機及電子工程學系助理教授 張曉教授 跨領域， 材料科學 機械工程學系助理教授 鄭湃教授 工程學 工業及系統工程學系副教授、黃鐵城智能機器人青年學者     理大新聞稿：中文

趙炯教授憑藉卓越科研成果獲頒研資局研究學者

理大先進製造研究院成員、應用物理學系趙炯教授在最新公布的2025/26 年度研究資助局（研資局）「研究學者計劃」中，獲頒「研資局研究學者」名銜以表彰其在先進材料這一關鍵領域取得具深遠影響的傑出科研成果。   趙炯教授帶領的「從滑動電子學到扭轉電子學：一個無耗散鐵電性的扭曲結構平台」項目獲「研究學者計劃」資助。研究專注於穿透式電子顯微鏡（TEM）及二維材料研發，涵蓋結構表徵與物理場測量等領域，所應用技術包括原位TEM、掃描式TEM（STEM）、四維STEM（4D-STEM）等。通過將這些尖端技術與材料合成、器件製作及理論模型相結合，有助促進材料品質的提升，推動其在實際器件的應用。這些先進二維材料及二維鐵電材料有望改變未來電子與光電子技術，顯著提升器件的性能。   研資局「研究學者計劃」旨在為卓越非凡的學者提供教學及行政職務方面的持續支援。計劃涵蓋所有學科，每年頒發 10 個獲獎名額，其所屬大學將獲得約港幣550萬元資助，為期 60 個月。   理大新聞稿：中文 網上報導: 點新聞 - https://polyu.me/419eoeA 香港新聞社 - https://polyu.me/46VZ2hh

鄭湃教授榮獲「香港工程師學會傑出青年工程師獎2025」

熱烈恭賀先進製造研究院成員、黃鐵城智能機器人學青年學者、工業及系統工程學系副教授鄭湃教授、工程師獲香港工程師學會頒發「傑出青年工程師獎2025」，以表彰其卓越成就。頒獎典禮於2025年4月3日在香港會議展覽中心舉行的香港工程師學會金禧晚宴上舉行。   此獎項旨在表揚本地傑出青年工程師透過其專業，為香港持續發展作出重要貢獻。該殊榮乃工程界極具聲望的獎項，旨在嘉許業界新晉領袖的熱忱奉獻與創新精神。

Ir Prof. ZHENG Pai receives Smart Traffic Fund to develop smart driving assistant

Congratulations to Ir Prof. ZHENG Pai, Member of the Research Institute for Advanced Manufacturing (RIAM), Wong Tit Shing Young Scholar in Smart Robotics and Associate Professor in the Department of Industrial and Systems Engineering, and his team, on receiving over HK$5 million in funding from the Smart Traffic Fund under the Transport Department of the HKSAR Government for the two-year project titled “Develop a Vision-Language Model-based Smart Driving Assistant for Enhancing Safety and Convenience of Motorists”.   The project aims to develop a smart driving assistant for vehicle cockpits leveraging vision-language models, which can analyse the environment in real time and drivers’ needs to offer appropriate interactive strategy for improving driver safety and convenience. This innovative approach promises to unlock new possibilities for enhancing driver-assistance technologies, reinforcing advancements in road safety and intelligent transport solutions.

RIAM Member made breakthrough discovery in structure and synthesis of 2D ferroelectrics

A research team led by Prof. ZHAO Jiong, Member of the Research Institute for Advanced Manufacturing (RIAM), Associate Professor of the Department of Applied Physics of The Hong Kong Polytechnic University (PolyU), has made significant advancements in the study and synthesis of 2D van der Waals materials, particularly 2D ferroelectrics. Their work has potential applications in microelectronics, artificial intelligence, and quantum information, with promising uses in high-density memory devices and energy systems. The team successfully developed a method for large-scale synthesis of 2D ferroelectrics, such as Indium Selenide (In2Se3), using transmission electron microscopy (TEM) to achieve precise structural control. Their research, published in Nature Nanotechnology, Nature Materials, and Science, also explores novel 2D materials and their properties, including plastic deformation and polar vortices. These discoveries could revolutionize microelectronics and lead to more efficient and flexible electronic devices. The research was supported by PolyU's Atomic Transmission Electron Microscopy Laboratory and contributions of the research team of Prof. Daniel LAU Shu Ping, Chair Professor of Nanomaterials and Head of the PolyU Department of Applied Physics; Prof. Ming YANG, Assistant Professor of the PolyU Department of Applied Physics; and Prof. LY Thuc Hue, Associate Professor of the Department of Chemistry of City University of Hong Kong.   PolyU Media Release: English | 中文

15 RIAM Members Ranked Among the World’s Top 2% Most-cited Scientists (2024)

Congratulations to our 15 RIAM members who are ranked among the “World’s Top 2% Most-cited Scientists 2024” in the latest report released by Stanford University. These RIAM scholars were included in the “Career-long Impact” list based on their career-long citation impact.   The report was prepared by a team of experts led by Prof. John Ioannidis, the eminent Professor at the Stanford University. The database provides standardized information on various metrics, including citations, h-index, co-authorship adjusted hm-index, citations to papers in different authorship positions, and a composite indicator (c-score).   Data published by Elsevier on 16 September 2024 (version 7):  https://elsevier.digitalcommonsdata.com/datasets/btchxktzyw/7   No Name Subject field 1 Prof. HUANG Guoquan, George Operations Research 2 Ir Prof. MAN Hau Chung Materials 3 Prof. LAU Shu Ping, Daniel Applied Physics 4 Ir Prof. CHAN Kang Cheung, Keith Materials 5 Prof. FU Mingwang Materials 6 Dr AN Liang Energy 7 Prof. Benny CHEUNG Chi-fai Industrial Engineering & Automation 8 Prof. HUANG Haitao Nanoscience & Nanotechnology 9 Dr REN Jingzheng Energy 10 Prof. TANG Chak-yin Materials 11 Prof. Asif Sohail USMANI Civil Engineering 12 Prof. ZHANG Dan Industrial Engineering & Automation 13 Dr ZHANG Biao Nanoscience & Nanotechnology 14 Dr ZHANG Xiao Nanoscience & Nanotechnology 15 Prof. ZHENG Guangping Materials

理大與築領科技簽署合作備忘錄 共建「工業化建築聯合實驗室」

香港理工大學（理大）與南京築領科技有限責任公司（築領科技）於7月25日簽署合作備忘錄，共建「工業化建築聯合實驗室」。聯合實驗室將重點瞄準工業元宇宙中的建築數字化、建築機器人的數字孿生、工業化建築的虛擬現實，以及建築製造、物流等研究方向。透過充分發揮理大和築領科技雙方在研究資源、測試環境、應用場景等方面的基礎與優勢，此次合作可提升建築過程中的安全性與效率，並於建築數字轉型道路上取得突破性的研究結果。   合作框架協議由理大副校長（研究及創新）趙汝恒教授與築領科技首席執行官戴安剛先生簽署。理大先進製造研究院成員、工業及系統工程系助理教授（研究）趙之恒博士與築領科技首席運營官劉恒志博士將擔任聯合實驗室主任，並依托先進製造研究院開展第一期合作項目「工業元宇宙中的建築機器人數字化系統的開發」。   此次合作亦將會應用先進製造研究院院長黃國全教授於「工業4.0模塊化建築智能裝修工場」項目的研究成果，推動建築領域的創新發展，為產業的新質生產力注入新的動能。