Conference on IT in Asia 2019

News and Updates


Click on the title to download the slides by our keynote and invited speakers during CITA '19:

Dr James Thom : Big Data and the Fourth Industrial Revolution: Benefits and Risks for Human Society

Assoc Prof Dr Xiuzhen Jenny Zhang : Combating Misinformation on the Social Media

Dr Mazlan Abbas : Where Are We in the Industrial Revolution?

Mr Yap Thiah Huat : Artificial Intelligence in Image Processing Technology for Commercial Applications 

 

 

 

  UPDATED : CITA '19 Programme Book

  Workshop Programme

Keynote Speakers

 

Dr James Thom
School of Science (Computer Science and IT), RMIT University

Dr James Thom received his BSc(Hons), MSc and PhD in computer science from the University of Melbourne in Australia. After teaching computer science for over 30 years at RMIT University, he retired in 2018 as an Associate Professor. Prior to retirement he had developed and then managed a new Master of Data Science degree at RMIT University in Melbourne. During his career, Dr Thom has also been a visiting scientist in industry and government research agencies at INRIA (in France) and IBM and CSIRO (in Australia). He has published over 100 refereed journal and conference papers in a range of areas including database systems, document computing, image and video processing, information retrieval, and privacy. At RMIT, Dr Thom supervised over 20 PhD students to successful completion of their theses.



"Big Data and the Fourth Industrial Revolution: Benefits and Risks for Human Society"

A fourth industrial revolution is driving interactions between the physical, digital and biological worlds. Big Data, often generated through the Internet of Things, is at the centre of the interactions occurring between these worlds. Big Data combined with cloud computing is leading to unprecedented developments in machine learning and automated decision making. There are both risks and benefits from advances in big data processing in areas such as information retrieval and image/video processing; these changes are disrupting business and transforming diverse areas of government and society.


 

Dr. Halimahtun M. Khalid
President of Damai Sciences, Malaysia

Dr Halimahtun M. Khalid is President of Damai Sciences, Malaysia. She obtained her Ph.D. in cognitive ergonomics from University College London, UK. She has 35 years of knowledge and experience in human factors engineering, ergonomics and human-computer interaction. She was Professor of Cognitive Ergonomics at Universiti Malaysia Sarawak (UNIMAS) from 1993-2003. At UNIMAS, she established the Institute of Design & Ergonomics Application, the Centre for Applied Learning & Multimedia, and the first Virtual Reality Centre. She has delivered several keynotes and has more than 100 publications in refereed journals and proceedings. She received research grants from the European Commission and US Air Force for projects related to mass customization, cultural cognition, disaster attitudes, and human-robotic trust.

Dr. Khalid is Past Chair of the Science Technology & Practice Committee of the International Ergonomics Association (IEA), and Past Chair of the Affective Design Technical Committee of the IEA. She is a Certified Human Factors Professional with BCPE USA, and a Fellow of the International Ergonomics Association. She is the Founder and Past President of the Human Factors and Ergonomics Society Malaysia, and Past President of the Southeast Asian Network of Ergonomics Societies.

"Humanizing Robots for Human-Robot Teaming in Social Tasks"

The future will see increased collaboration between humans and robots in various work domains in order to perform social tasks. Future robotic systems are intended to team with humans to accomplish
operational goals, which raises several challenges in designing for human-robot interaction. This includes the challenge of understanding behavioural, cognitive and neural mechanisms as well as antecedents of trust in human-robot interaction.

For robots to interact well with humans and be good team players, they need to exhibit humanlike
characteristics. The humanization of robots has contributed to the successful adoption of robots into our society. However, there are also drawbacks which have received much less attention. We will highlight the problems with humanizing robots and the challenges of research on trust. Setting the scene, we will trace backwards a decade of research into human-robot trust.

Trust is key in the development of effective human-robot relationships. Trust affects system
effectiveness as it relates to safety, performance, and usability. With the integration of humanoid robots in human teams, the issue of measuring and predicting trust becomes a focal concern. Instead of looking at the trust issue as an isolated process between a human and a robot, we take a human-system integration perspective by examining trust in a team-oriented setting.

A critical skill that humanoid robots must have is the ability to interact using natural language in
dialogs. Designing a dialog that represents a use case scenario is a challenge. However, more challenging is the measurement of trust. Several determinants influence trust, namely: human, robot, social and contextual factors. Reliable measurement of trust requires a combination of psychological and physiological criteria that enable prediction of trust in a multi-agent and multi-dialog context. This keynote focuses on factors that influence human trust of robotic systems and solutions toward humanizing robots for human-robot teaming based on recent findings from our research.


 

 

Assoc Prof Xiuzhen Jenny Zhang
School of Science (Computer Science and IT), RMIT University

Xiuzhen Jenny Zhang is an associate professor at School of Science (Computer Science and IT), RMIT University. Her research interests are in data mining and machine learning, social media data mining and text mining. She has published over 100 papers in these areas. She serves as an associate editor for the journal Information Processing and Management, and a review editor for the journal Frontiers in Big Data. She is a lead guest editor for several journals. She serves on the program committee of many conferences and is the co-chair of the Australasian Language Technology Association 2018 workshop. She obtained her PhD from The University of Melbourne.



"Combating Misinformation on the Social Media"

Social media platforms has transformed the way online population seeking and diffusing information. As an open, crowdsourced information source, social media platforms spread information faster than traditional news agencies. But as well as credible information, misinformation such as fake news and opinion spams spread on social media platforms. It is important to understand users' perception of information credibility on social media as well as design advanced models to identify and combat misinformation. In this talk we will discuss the research our group has been doing on these fronts. We will present our key findings on user perception of information credibility on Twitter. We will also detail novel machine learning problems and design our solutions for identifying opinion spams.


 

Invited Speakers

Dr. Mazlan Abbas
CEO - FA
VORIOT

Dr. Mazlan is the co-founder and CEO of FAVORIOT Sdn Bhd. He is ranked among Top 20 Global Thought Leaders on the Internet of Things (February 2019) by Thinkers360, Top 50 Most Impactful Smart Cities Leaders by World CSR Congress 2017, ranked Top 10 in IoT Top 100 Influencers by Postscapes 2017 & 2018, ranked No. 20th Thought Leader in IOT by 2014 Onalytics Report – “The Internet of Things – Top 100 Thought Leaders” and UTM Alumni Industry Personality 2016. He is currently one of Global Vision Board Member (2017). Before Favoriot, he spent 2.5 years as CEO of REDtone IOT and 8 years in MIMOS Berhad as Senior Director Wireless Communications Cluster. He also spent 13 years in CELCOM (mobile operator), handling many senior management positions. Prior to Celcom, he spent 10 years as an Assoc. Professor at Universiti Teknologi Malaysia. He is currently the Adjunct Professor at Universiti Sultan Zainal Abidin (UniSZA) and Universiti Malaysia (UniMY). He was also the Adjunct Professor for UTM from 2008 to 2013 and UTHM (2004-2005, 2013-2016). Dr.Mazlan is a frequent speaker at many major & established IOT, Smart Cities and telco conferences locally and globally. He sits in Industry Advisory Panel (IAP) for several local universities. He graduated from Universiti Teknologi Malaysia with a BEE (1984), University of Essex (UK) with MSc. in Telematics (1986) and Universiti Teknologi Malaysia with a Ph.D. in Telecommunications (1993). He also received an Honorary Doctorate in Electrical Engineering from UTHM (2017).

"Where Are We in the Industrial Revolution?"

In reality, we are in a very confusing Era. At one end, we have the vision and wish to move towards the Fourth Industrial Revolution but in actual fact, we are still in a mixed era of IR1.0, IR 2.0, IR3.0 and IR 4.0.

There’s a difference between the word “Revolution” and “Evolution”. Revolution is about transformational change and evolutionary is incremental change. These two have a different set of a thinking process. Are we ready to embrace? What are the challenges and how we can overcome them?


 

Mr. Yap Thiah Huat
Co-Founder
Archtron Research & Development Sdn Bhd


YAP THIAH HUAT, Co-Founder of Archtron Research & Development Sdn. Bhd in 2003 with the objectives of becoming the first company to embrace the latest technology in the Security and Smart home solutions. The company had launched BLUGUARD Smart Home System series tailored for residential, commercial and industrial sector. The Bluguard system encompasses smart home technology, home automation, energy management, and security systems and it help homeowners incorporate today technology into their homes with the goal of enhancing the enjoyment of home life.

Today, Bluguard smart home system is among the branded security system provider and the Bluguard series are comply with the internationally recognized ISO-9001 standard, European Standard (CE) Electro Magnetic Compliance (EMC) as well as US FCC Standard.

The company has local in house research & development expertise and know how to advise, design, install, developed and maintain the tremendous quality smart home systems. The current research area is focus on the video image processing techniques that complement the conventional security system. Ultimately, The cutting edge technology is the marriage of the intelligent alarm and video image processing system that works on single coherent system. The system is designed to build a platform that capable to perform data acquisition from sensors & camera inputs. Following this, the data will be stored and permitting the real time automated video image analysis to be performed and hence remedy action could be taken to reach relevant authorities or Centre Monitoring Station (CMS).



"Artificial Intelligence in Image Processing Technology for Commercial Applications"

The next generation of commercial security applications will be a platform that capable provide an intelligent system comprises of an artificial intelligent processing, image processing of predictive human behavioural and mathematical analytical engine.  
The development on this area via the predictive modelling will eventually complement the security system with artificial intelligent permitting the immediate detection of abnormal activities detected at the premises and instantly alerting users.  
Ultimately, the data will be stored and permitting the real time content analysis to be performed and hence alert the call centre in the event of detecting abnormal behaviour, suspected intrusion and robber.  Thus, the relevant authorities can immediately take remedy action.  The system is capable to integrate the content analysis by utilizing the camera system that capable to perform automatic acquisition of high resolution body and face images of selected person in indoor.  In addition, these systems can be programmed to sound an alarm or zoom in to particular camera to security personnel when a person enters a restricted zone or intentionally intrude premise.