Prof. Feng Ling
Professor Ling has extensive research experience in databases and data mining. One key contribution that she has made to the data mining area is the extension of the classical association rule framework from single-dimensional intra-transactional association analysis to multi-dimensional inter-transactional association analysis. This work has found wide applications, particularly in a weather forecasting system. She has also worked with Professor Dillon in the area of Data Warehousing Semantics. This led to a paper on Semantics in the IEEE Transactions on Data and Knowledge Engineering. She has been working collaboratively with Professor T. Dillon and Professor E. Chang for the last five years.
Dr Mukesh Mohania
Dr. Mohania received his Ph.D. in Computer Science and Engineering from the Indian Institute of Technology, Bombay, India in 1995. He was a faculty member at the University of South Australia and Western Michigan University from 1995-2001. He was also associated with Kyoto University and Purdue University as Senior Research Fellow from 1996-2001. Currently, he is a senior manager in the IBM India Research Lab, and leads an information and interaction team. He has worked extensively in the areas of distributed databases, data warehousing, data integration, and autonomic computing, and has published over 100 papers in these and related areas. He also holds more than 20 patents under his name.
Dr. Jaipal Singh
Dr. Singh is in Department of Fisheries. His current research is in the field of real-time traffic congestion management and short-term traffic forecasting. His research interests include vehicular communication, mobile routing, network quality of service (QoS), wireless sensor networks, wireless ad-hoc networks, multicast/group communication, network resource optimisation and network security. He has over 16 peer-reviewed publications in the form of journal and conference papers. He completed his PhD from La Trobe University in 2007. He then worked as a postdoctoral research fellow at Deakin University, researching network security issues such as distributed denial of service (DDoS) detection and e-mail spam classification techniques.
Dr. David Mcmeekin
Dr. Mcmeekin's research is into the area of developing software developers, understanding the cognitive levels developers operate at and developing frameworks, methodologies and techniques to facilitate software developers to operate at higher cognitive levels in order to produce safer software code. His research spreads across almost all of the research projects at DEBII as these utilize software applications and software application development. He is widely published in the areas of software engineering and software engineering education and was one of the first Australian's to publish at IEEE International Conference on Program Comprehension. He also lectures at Computer Science in the areas of Software Engineering, Object Oriented Programming, C programming and at the University of Notre Dame Australia, Fremantle, in Web Design.
Dr. David Wu
Dr. Wu is the Director of TCU-UA (Tianjin Chengjian University-the University of Adelaide) Joint Research Centre on Disaster Prevention and Mitigation. He is also currently the Chair of the Australian Chapter of the International Association of Protective Structures (http://iapsaustralia.org/). Since Dr Wu obtained his PhD from School of Civil and Environmental Engineering, Nanyang Technical University, Singapore in 2002, he has developed recognized and diverse research on blast-induced ground vibrations, structural response to blast loading, mitigation of blast effects on structures, blast resistance of ultra-high performance concrete, rock blasting and traffic barrier response to vehicle impact etc.
Dr. Pedram Hayati
Dr. Hayati works at Google. He completed his PhD thesis entitled ‘Addressing the new generation of Spam (Spam 2.0) through intelligent Web usage model’. He has conducted more than 15 publications in only first 2 years of his PhD study in the forms of book chapters, refereed international journals and conference papers. His main area of research focuses on Adversarial Information Retrieval particularly on Spam, Scam and Online Fraud detection. His research also involves in many other major fields including - Web data mining and Web usage mining; Machine Learning; Artificial Intelligence; Web Security. At the DEBI Institute, Dr. Hayati plays a Web engineer role and has more than 7 years experience in secure software engineering and Web frontiers development.
Dr Kevin Chai
Dr. Chai is at UNSW. Kevin's research interests have been in Web Science and he has published a number of research papers in relation to quality assessment of user generated content on the Web, user contribution measurement in virtual communities, spam detection and prevention for Web 2.0 platforms as well as web data mining, machine learning and statistical data modelling.
Dr Pedram Radmand
Dr. Radmand is a Lead M2M Embedded System Architect at Melrok. Kevin's research interests have been in Web Science and he has published a number of research papers in relation to quality assessment of user generated content on the Web, user contribution measurement in virtual communities, spam detection and prevention for Web 2.0 platforms as well as web data mining, machine learning and statistical data modelling.