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Assoc Prof Kwoh Chee Keong

Assistant Chair (Graduate Studies)

School of Computer Science and Engineering
College of Engineering, Nanyang Technological University, Singapore

Biography

Assoc Prof Kwoh Chee Keong

Dr. Kwoh Chee Keong is currently in the School of Computer Engineering since 1993. He received his Bachelor degree in Electrical Engineering (1st Class) and Master in Industrial System Engineering from the National University of Singapore in 1987 and 1991 respectively. He received his Ph.D. degrees from the Imperial College, University of London in 1995. His research interests include Data Mining and Soft Computing and Graph-Based inference; applications areas include Bioinformatics and Biomedical Engineering. He has done significant research work his research areas and published over 90 quality international conferences and over 30 journal papers. He has been often invited as a organizing member or referee and reviewer for a number of premier conferences and journals, including GIW, IEEE BIBM, RECOMB, PRIB etc. Dr. Kwoh is a member of The Institution of Engineers Singapore, Association for Medical and Bio-Informatics, Imperial College Alumni Association of Singapore (ICAAS). He has provided many service to professional bodies, and the Singapore and was conferred the Public Service Medal, the President of Singapore in 2008.


Nuno Bandeira, Ph.D.

Nuno Bandeira, Ph.D.

Associate Professor

Dept. Computer Science and Engineering
Skaggs School of Pharmacy and Pharmaceutical Sciences

https://cseweb.ucsd.edu/~nbandeir/




Prof. Chong-Wah Ngo

Dept. of Computer Science

City University of Hong Kong.

Title: Deep Learning for Food Recognition

Abstract

In multimedia, dishes recognition is regarded as a difficult problem due to diverse appearance of food in shape and color because of different cooking and cutting methods. As a result, while there is a large number of cooking recipes posted on the Internet, finding a right recipe for a food picture remains a challenge. The problem is also shared among health-related applications. For example, food-log management, which records dairy food intake, often requires manual input of food/ingredients for nutrition estimation. This talk will share with you the challenge of recognizing ingredients in dishes for recipe retrieval. Finding a recipe that exactly describes a dish is challenging because ingredient compositions vary across geographical regions, cultures, seasons and occasions. I will introduce deep neutral architectures that explore the relationship among food, ingredients and recipes for recognition. The learnt deep features are used for cross-modal retrieval of food and recipes.

Biography

Prof. Chong-Wah Ngo

Chong-Wah Ngo is a professor in the Dept. of Computer Science at the City University of Hong Kong. He received his PhD in Computer Science from Hong Kong University of Science & Technology, and MSc and BSc, both in Computer Engineering, from Nanyang Technological University of Singapore. Before joining City University of Hong Kong, he was a postdoctoral scholar in Beckman Institute at the University of Illinois in Urbana‐Champaign. His main research interests include large-scale multimedia information retrieval, video computing, multimedia mining and visualization. He is the founding leader of video retrieval group (VIREO) at City University, a research team that releases open source softwares, tools and datasets widely used in the multimedia community. He was the associate editor of IEEE Trans. on Multimedia, and has served as guest editor of IEEE MultiMedia, Multimedia Systems, and Multimedia Tools and Applications. He is on the steering committee of TRECVid and ICMR (Int. Conf. on Multimedia Retrieval). He was conference co-chair of ICMR 2015, program co-chairs of ICMR 2012, MMM 2012 and PCM 2013. He also served as the chairman of ACM (Hong Kong Chapter) during 2008-2009.

Prof. Abhik Roychoudhury

School of Computing

National University of Singapore

Biography

Prof. Abhik Roychoudhury

Abhik Roychoudhury is a Professor of Computer Science at School of Computing, National University of Singapore. Abhik received his Ph.D. in Computer Science from the State University of New York at Stony Brook in 2000. Since 2001, he has been employed at the National University of Singapore. His research has focused on software testing and analysis, software security, and trust-worthy software construction. He has been an ACM Distinguished Speaker (2013-19). He is currently leading the TSUNAMi center, a large five-year long targeted research effort funded by National Research Foundation in the domain of software security. He is also the Lead Principal Investigator of the Singapore Cyber-security Consortium. His research has been funded by various agencies and companies, including the National Research Foundation (NRF), Ministry of Education (MoE), A*STAR, Defense Research and Technology Office (DRTech), DSO National Laboratories, Microsoft and IBM. He has authored a book on "Embedded Systems and Software Validation" published by Elsevier (Morgan Kaufmann) Systems-on-Silicon series in 2009, which has also been officially translated to Chinese by Tsinghua University Press. He has served in various capacities in the program committees and organizing committees of various conferences on software engineering, specifically serving as Program Chair of ACM International Symposium on Software Testing and Analysis (ISSTA) 2016 and General Chair of ACM SIGSOFT Symposium on Foundations of Software Engineering (FSE) 2022. He is currently serving as an Editorial Board member of IEEE Transactions on Software Engineering (TSE).


NEWS
21/04/17 : Website online


IMPORTANT DATES
Paper submission deadline:AUG 14, 2017
SEP 22, 2017
Notification of acceptance:OCT 26, 2017
Camera-ready submission deadline:OCT 30, 2017
Conference dates:DEC 7-8, 2017


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