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Professor of Computer Science
Head of Department of Computer Science
Faculty of Arts and Sciences
Edge Hill University
2.Dion H. Goh
Wee Kim Wee School of Communication and information
Nanyang Technological University, Singapore
TITLE: Gaming the System: How Useful are Crowdsourcing Games?
Crowdsourcing harnesses the skills and expertise of online users to solve problems and perform
tasks. In addition to relying on volunteers or paying human experts, computer games are a promising
means to attract participants for crowdsourcing projects. Such games capitalize on people’s desire
for entertainment, making crowdsourcing fun and engaging, thus fostering participation.
Nevertheless, there are challenges associated with game-based approaches for crowdsourcing since
they have to meet the twin goals of entertaining users and producing quality output. A game that
focuses too much on entertainment may result in users losing sight of the underlying crowdsourcing
purpose, while conversely, a game that dwells on the crowdsourcing task may not be fun enough to
This talk discusses the opportunities and challenges in the design and deployment of crowdsourcing
games. It will first present the motivations for blending games into crowdsourcing tasks. Next,
studies pertaining to crowdsourcing games are described to show how users perceive and respond
to such games. Finally, design lessons drawn from past research are discussed, together with
opportunities for future work.
About the Speaker:
Dion Goh has a PhD in computer science. He is currently Associate Professor with Nanyang
Technological University (Singapore), where is also the Founding and current Director of the Masters
of Information Systems program in the Wee Kim Wee School of Communication and Information. He
was also the Founding Associate Chair of Graduate Studies of the school. His major areas of research
are in gamification techniques for shaping user perceptions and motivating behavior, mobile
information sharing and seeking, and crowdsourcing. Dion has led a number of funded projects in
the use of gamification in mobile content sharing, the use of games for mental health interventions,
human computation games for data analytics, mobile tagging, and collaborative querying.
3.Simon James Fong (Dr.) 方正天
Associate Professor @ Department of Computer and Information Science
Data Analytics and Collaborative Computing Laboratory
University of Macau, Taipa, Macau SAR
Adjunct Professor @ Faculty of Accounting & Informatics
Durban University of Technology, Durban, South Africa
Title: Using Meta-Heuristic Algorithms to Tune-up Hyper-parameters for Deep Learning
Deep learning (DL) is one of the most emerging types of contemporary machine learning techniques that mimic the cognitive patterns of animal visual cortex to learn the new abstract features automatically by deep and hierarchical layers. Hyper-parameter optimization is a model selection problem that attempts to find the best solution among a combination set of parameters with an aim to attain high accuracy. However, the trial and error methods to optimize the hyper-parameters take a very long time to test the accuracy given that there are many variables and some of their numerical data types are continuous. In this talk, we discuss an architecture that can be used for optimizing the hyper-parameters of neural network using metaheuristics. The comparison results of using meta-heuristic methods and traditional exhaustive search method would be presented. The novelty of applying the swarm search methods for finding the best hyper-parameters would be demonstrated. The pros and cons of swarm search methods for hyper-parameter optimization would be discussed, as well as pointing out some future directions of the hyper-parameters optimization.
Simon Fong graduated from La Trobe University, Australia, with a 1st Class Honours BEng. Computer Systems degree and a PhD. Computer Science degree in 1993 and 1998 respectively. Simon is now working as an Associate Professor at the Computer and Information Science Department of the University of Macau, as an Adjunct Professor at Faculty of Informatics, Durban University of Technology, South Africa. He is a co-founder of the Data Analytics and Collaborative Computing Research Group in the Faculty of Science and Technology. Prior to his academic career, Simon took up various managerial and technical posts, such as systems engineer, IT consultant and e-commerce director in Australia and Asia. Dr. Fong has published over 432 international conference and peer-reviewed journal papers, mostly in the areas of data mining, data stream mining, big data analytics, meta-heuristics optimization algorithms, and their applications. He serves on the editorial boards of the Journal of Network and Computer Applications of Elsevier, IEEE IT Professional Magazine, and various special issues of SCIE-indexed journals. Simon is also an active researcher with leading positions such as Vice-chair of IEEE Computational Intelligence Society (CIS) Task Force on “Business Intelligence & Knowledge Management”, and Vice-director of International Consortium for Optimization and Modelling in Science and Industry (iCOMSI).