Social Market Economy (SocME) Perspectives webinar entitled "Are Universities Worth It? on
5th of September, 2021 at 9.00 am via Zoom Meeting.
ZOOM REGISTRATION:
http://futures.eseminar.my
Overview:
Malaysia's tertiary, TVET and higher education system has been battered by the impact of the Covid-19 pandemic which has affected not just finances and student numbers but the very foundations of the mission, vision and values of the system.
Do Malaysian universities deliver on their core mission? What is that mission? Do students get a fulfilling experience that equips them for life or even the future of work? Are academics respected, well prepared and supported in their mission?
What alternative models are available and how can the Malaysian tertiary, TVET and higher education system be reformed to face the future?
This webinar by Konrad-Adenauer-Stiftung (KAS) Malaysia will bring together thought leaders in Malaysian higher education and TVET along with graduates who have recently experienced alternative systems to share their views on the future of work and education and the possibilities of reform.
(Registration is required. Zoom Meeting ID and passcode will be sent via email.)
Session 1: The Higher Education World Today and In The Future
▶️ Associate Professor Dr Paolo Casadio
HELP University
▶️ Professor Geoffrey Williams
Malaysia University of Science and Technology (MUST)
▶️ YB Nurul Izzah binti Anwar
Member of Parliament for Permatang Pauh
Former Chair of the Technical and Vocational Education and Training
(TVET) Empowerment Committee
Moderator: Professor Terence Gomez, University Malaya
Discussant:
▶️ Professor Mohamed Aslam Haneef, International Islamic University Malaysia (IIUM)
同時也有1部Youtube影片,追蹤數超過8,320的網紅Campus TV, HKUSU 香港大學學生會校園電視,也在其Youtube影片中提到,Campus TV, HKUSU Facebook Page: https://www.facebook.com/hkucampustv 「凡是渴望在這個遺忘之島上尋找意義與故鄉的人必須勇敢承擔思想、記憶與認同的重量。」──吳叡人 香港民族位處於中國邊陲,努力尋找屬於自己的身份和歷史。香港大學學...
associate chair 在 國立陽明交通大學電子工程學系及電子研究所 Facebook 的最佳貼文
【演講】2019/11/19 (二) @工四816 (智易空間),邀請到Prof. Geoffrey Li(Georgia Tech, USA)與Prof. Li-Chun Wang(NCTU, Taiwan) 演講「Deep Learning based Wireless Resource Allocation/Deep Learning in Physical Layer Communications/Machine Learning Interference Management」
IBM中心特別邀請到Prof. Geoffrey Li(Georgia Tech, USA)與Prof. Li-Chun Wang(NCTU, Taiwan)前來為我們演講,歡迎有興趣的老師與同學報名參加!
演講標題:Deep Learning based Wireless Resource Allocation/Deep Learning in Physical Layer Communications/Machine Learning Interference Management
演 講 者:Prof. Geoffrey Li與Prof. Li-Chun Wang
時 間:2019/11/19(二) 9:00 ~ 12:00
地 點:交大工程四館816 (智易空間)
活動報名網址:https://forms.gle/vUr3kYBDB2vvKtca6
報名方式:
費用:(費用含講義、午餐及茶水)
1.費用:(1) 校內學生免費,校外學生300元/人 (2) 業界人士與老師1500/人
2.人數:60人,依完成報名順序錄取(完成繳費者始完成報名程序)
※報名及繳費方式:
1.報名:請至報名網址填寫資料
2.繳費:
(1)親至交大工程四館813室完成繳費(前來繳費者請先致電)
(2)匯款資訊如下:
戶名: 曾紫玲(國泰世華銀行 竹科分行013)
帳號: 075506235774 (國泰世華銀行 竹科分行013)
匯款後請提供姓名、匯款時間以及匯款帳號後五碼以便對帳
※將於上課日發放課程繳費領據
聯絡方式:曾紫玲 Tel:03-5712121分機54599 Email:tzuling@nctu.edu.tw
Abstract:
1.Deep Learning based Wireless Resource Allocation
【Abstract】
Judicious resource allocation is critical to mitigating interference, improving network efficiency, and ultimately optimizing wireless network performance. The traditional wisdom is to explicitly formulate resource allocation as an optimization problem and then exploit mathematical programming to solve it to a certain level of optimality. However, as wireless networks become increasingly diverse and complex, such as high-mobility vehicular networks, the current design methodologies face significant challenges and thus call for rethinking of the traditional design philosophy. Meanwhile, deep learning represents a promising alternative due to its remarkable power to leverage data for problem solving. In this talk, I will present our research progress in deep learning based wireless resource allocation. Deep learning can help solve optimization problems for resource allocation or can be directly used for resource allocation. We will first present our research results in using deep learning to solve linear sum assignment problems (LSAP) and reduce the complexity of mixed integer non-linear programming (MINLP), and introduce graph embedding for wireless link scheduling. We will then discuss how to use deep reinforcement learning directly for wireless resource allocation with application in vehicular networks.
2.Deep Learning in Physical Layer Communications
【Abstract】
It has been demonstrated recently that deep learning (DL) has great potentials to break the bottleneck of the conventional communication systems. In this talk, we present our recent work in DL in physical layer communications. DL can improve the performance of each individual (traditional) block in the conventional communication systems or jointly optimize the whole transmitter or receiver. Therefore, we can categorize the applications of DL in physical layer communications into with and without block processing structures. For DL based communication systems with block structures, we present joint channel estimation and signal detection based on a fully connected deep neural network, model-drive DL for signal detection, and some experimental results. For those without block structures, we provide our recent endeavors in developing end-to-end learning communication systems with the help of deep reinforcement learning (DRL) and generative adversarial net (GAN). At the end of the talk, we provide some potential research topics in the area.
3.Machine Learning Interference Management
【Abstract】
In this talk, we discuss how machine learning algorithms can address the performance issues of high-capacity ultra-dense small cells in an environment with dynamical traffic patterns and time-varying channel conditions. We introduce a bi adaptive self-organizing network (Bi-SON) to exploit the power of data-driven resource management in ultra-dense small cells (UDSC). On top of the Bi-SON framework, we further develop an affinity propagation unsupervised learning algorithm to improve energy efficiency and reduce interference of the operator deployed and the plug-and-play small cells, respectively. Finally, we discuss the opportunities and challenges of reinforcement learning and deep reinforcement learning (DRL) in more decentralized, ad-hoc, and autonomous modern networks, such as Internet of things (IoT), vehicle -to-vehicle networks, and unmanned aerial vehicle (UAV) networks.
Bio:
Dr. Geoffrey Li is a Professor with the School of Electrical and Computer Engineering at Georgia Institute of Technology. He was with AT&T Labs – Research for five years before joining Georgia Tech in 2000. His general research interests include statistical signal processing and machine learning for wireless communications. In these areas, he has published around 500 referred journal and conference papers in addition to over 40 granted patents. His publications have cited by 37,000 times and he has been listed as the World’s Most Influential Scientific Mind, also known as a Highly-Cited Researcher, by Thomson Reuters almost every year since 2001. He has been an IEEE Fellow since 2006. He received 2010 IEEE ComSoc Stephen O. Rice Prize Paper Award, 2013 IEEE VTS James Evans Avant Garde Award, 2014 IEEE VTS Jack Neubauer Memorial Award, 2017 IEEE ComSoc Award for Advances in Communication, and 2017 IEEE SPS Donald G. Fink Overview Paper Award. He also won the 2015 Distinguished Faculty Achievement Award from the School of Electrical and Computer Engineering, Georgia Tech.
Li-Chun Wang (M'96 -- SM'06 -- F'11) received Ph. D. degree from the Georgia Institute of Technology, Atlanta, in 1996. From 1996 to 2000, he was with AT&T Laboratories, where he was a Senior Technical Staff Member in the Wireless Communications Research Department. Currently, he is the Chair Professor of the Department of Electrical and Computer Engineering and the Director of Big Data Research Center of of National Chiao Tung University in Taiwan. Dr. Wang was elected to the IEEE Fellow in 2011 for his contributions to cellular architectures and radio resource management in wireless networks. He was the co-recipients of IEEE Communications Society Asia-Pacific Board Best Award (2015), Y. Z. Hsu Scientific Paper Award (2013), and IEEE Jack Neubauer Best Paper Award (1997). He won the Distinguished Research Award of Ministry of Science and Technology in Taiwan twice (2012 and 2016). He is currently the associate editor of IEEE Transaction on Cognitive Communications and Networks. His current research interests are in the areas of software-defined mobile networks, heterogeneous networks, and data-driven intelligent wireless communications. He holds 23 US patents, and have published over 300 journal and conference papers, and co-edited a book, “Key Technologies for 5G Wireless Systems,” (Cambridge University Press 2017).
associate chair 在 姚松炎 Edward Yiu Facebook 的精選貼文
#20191109@尖東
貧窮與房屋論壇
合作社房屋
Panel 1: poverty and housing in Hong Kong
(中文版本請見下方)
11:15 – 12:30 Poverty and housing in Hong Kong
- Ms Leilani Farha, Special Rapporteur on adequate housing as a component of the right to an adequate standard of living, and on the right to non-discrimination in this context (via pre-recorded video message)
- Professor Anthony B. L. Cheung, Research Chair Professor of Public Administration, Department of Asian and Policy Studies, The Education University of Hong Kong and former Secretary for Transport and Housing
- Mr Kim Lee, Assistant Professor, Faculty of Social Sciences, UOW College Hong Kong
- Dr Edward Chung Yim Yiu, Founder of the Real Estate Development and Building Research & Information Centre
- Moderator: Dr. Fox Hu Zhiyong, Associate Professor, Department of Asian and Policy Studies, Faculty of Liberal Arts and Social Sciences, The Education University of Hong
11:15 – 12:30 香港貧窮及住屋問題
- 適足生活水準權所含適足住房問題特別報告員 Leilani Farha女士(透過預先錄影片段發言)
- 香港教育大學亞洲及政策研究學系公共行政學研究講座教授及前運輸及房屋局局長張炳良教授
- 香港伍倫貢學院助理教授李劍明先生
- 房產發展研究中心創辦人姚松炎 Edward Yiu
- 主持:香港教育大學博文及社會科學學院亞洲及政策研究學系副教授胡智勇博士
associate chair 在 Campus TV, HKUSU 香港大學學生會校園電視 Youtube 的最佳貼文
Campus TV, HKUSU Facebook Page: https://www.facebook.com/hkucampustv
「凡是渴望在這個遺忘之島上尋找意義與故鄉的人必須勇敢承擔思想、記憶與認同的重量。」──吳叡人
香港民族位處於中國邊陲,努力尋找屬於自己的身份和歷史。香港大學學生會特意邀請了《想象的共同體:民族主義的起源和散佈》譯者吳叡人先生為我們分享,透過比較沖繩、香港及台灣民族主義的興起和流變,引發我們對於「自我」與「他者」的思辨。
日期:二零一五年四月二十一日(星期二)
地點:百週年校園LG.08室
時間:晚上六時至九時(五時半登記入場)
講題:沖繩、香港及台灣的民族主義興起
名額:150人
語言:國語(大會將提供英語即時傳譯)
講者:吳叡人
台灣桃園人,畢業於臺灣大學政治系、芝加哥大學政治系博士,專攻比較政治和政治理論等範疇。吳老師為《想象的共同體:民族主義的起源和散佈》的譯者,早年任職日本早稻田大學政治經濟學部講座教授,現任中央研究院臺灣史研究所副研究員。
主持:李啟迪
學苑前專題編輯、《香港民族論》的作者之一,現就讀香港大學社會科學學院,雙主修政治與公共行政和歷史。
‘He who desires to pursue meaning and origins on this island of oblivion must bear the weight of thoughts, memories, and recognition.’—Dr Wu Rwei-ren
At the periphery of China, the Hong Kong nationality has been pursuing our own identity and history. HKUSU has now invited Dr Wu Rwei-ren, the translator of ‘Imagined Communities: Reflections on the Origins and Spread of Nationalism’, to share his thoughts on such issue. A comparison of the rise and change of nationalism among Okinawa, Hong Kong, and Taiwan shall surely inspire our thoughts on the meaning of ‘ourselves’ and ‘the others’.
Date: 21 April 2015
Venue: LG.08, Centennial Campus
Time: 6:00 p.m.–9:00 p.m.
Topic: The Rise of Nationalism in Okinawa, Hong Kong, and Taiwan
Seats: 150
Language: Mandarin (instant English interpretation will be provided)
Guest speaker: Dr Wu Rwei-ren
From Taoyuan, Taiwan, Dr Wu graduated from the Department of Political Science at the National Taiwan University and earned his doctoral degree from the University of Chicago in politics with a research focus on comparative politics and political theory. As the translator of ‘Imagined Communities: Reflections on the Origins and Spread of Nationalism’, he was formerly the Chair Professor at the School of Political Science and Economics at the Waseda University, Japan. He is currently the associate research fellow at the Institute of Taiwan History of the Academia Sinica.
Host: Mr Lee Kai-tik, Jack
Mr Lee is a former Feature Editor of Undergrad, HKUSU and one of the writers of ‘Hong Kong Nationalism’. He is a student from the Faculty of Social Sciences of HKU and is currently majoring in Politics and Public Administration and History.
associate chair 在 Associate Chair Position | Kent State University 的相關結果
The associate chair is an elected member of faculty who answers directly to the chair of the department but carries out a distinct scope of work (in other ... ... <看更多>
associate chair 在 國立中山大學中英文職稱對照表 的相關結果
Associate Vice President for Academic Affairs. 學生事務長 ... 院長/通識教育中心中心主任. Dean. 副院長. Associate Dean. 系主任. Chair. ... <看更多>
associate chair 在 國立臺灣大學人員職稱類中英雙語詞彙Bilingual Glossary for ... 的相關結果
Associate Chair /Associate. Director ... Adjunct Associate Professor. 兼任助理教授 ... Visiting Associate Research Fellow. 客座助理研究員. ... <看更多>