Prof. Benjamin Wah
Chinese University of Hong Kong, Hong Kong

Professor Benjamin Wah is the Provost and Wei Lun Professor of Computer Science and Engineering at the Chinese University of Hong Kong. Professor Wah was the Franklin W. Woeltge Endowed Professor of Electrical and Computer Engineering at the University of Illinois at Urbana-Champaign, and is a prominent computer scientist, with expertise in non-linear programming, multimedia signal processing and artificial intelligence. He is a fellow of the Institute of Electrical and Electronics Engineers (IEEE), the Association for Computing Machinery (ACM), and the American Association for the Advancement of Science (AAAS) and has served as the President of IEEE Computer Society. Professor Wah has received numerous international honours and awards for his distinguished academic and professional achievements. Among these are the Distinguished Alumni Award in Computer Science of the University of California, Berkeley, the W. Wallace McDowell Award, the Tsutomu Kanai Award and the Richard E. Merwin Distinguished Service Award of the IEEE Computer Society.
In 1998-99, Professor Wah was Professor of Computer Science and Engineering at CUHK, and in that year received an Exemplary Teaching Award. His bonds with the University continued afterwards as he served in the capacity of Adjunct Professor in the Department from 1999 to 2003.
Professor Wah has also long been committed to enhancing the development of higher education and research in Hong Kong. He was a member of the Research Grants Council of the University Grants Committee in Hong Kong between 2005 and 2009, and served as the Chairman of its Engineering Panel between 2006 and 2009. He was re-appointed as member of the RGC in October 2011 and appointed as Chairman of the RGC in January 2013. He was appointed as ex-officio member of the Advisory Committee on Innovation and Technology of the HKSAR Government in the capacity as the Chairman of the Research Grants Council in 2015. He is currently member of various UGC Sub-Committees, including Strategy Sub-Committee and Research Group. He also serves on the Innovation and Technology Advisory Committee of the Hong Kong Trade Development Council.
Born and brought up in Hong Kong, Professor Wah graduated from Queen Elizabeth School and pursued further studies in the US. He received his BS and MS in Electrical Engineering and Computer Science from Columbia University, and his MS in Computer Science and PhD in Engineering from the University of California, Berkeley. He began teaching in Purdue University in 1979, and later joined the University of Illinois at Urbana-Champaign in 1985. He also served as Director of the Advanced Digital Sciences Centre established by the University of Illinois in Singapore in 2009, with funding from the Singapore government’s Agency for Science, Technology and Research.


Prof. Andrzej Cichocki
RIKEN, Japan

Andrzej Cichocki is currently senior team leader and the head of the Cichocki laboratory for Advanced Brain Signal Processing, at RIKEN Brain Science Institute in Japan. He received the M.Sc. (with honors), Ph.D. and Dr.Sc. (Habilitation) degrees, all in electrical engineering, from Warsaw University of Technology in Poland. Since 1972, he has been with the Institute of Theory of Electrical Engineering, Measurement and Information Systems, Faculty of Electrical Engineering at the Warsaw University of Technology, where he obtain a title of a full Professor in 1995. He spent several years at University Erlangen-Nuerenberg in Germany, at the Chair of Applied and Theoretical Electrical Engineering directed by Professor Rolf Unbehauen, as an Alexander-von-Humboldt Research Fellow and Guest Professor.

In 1995-1997 he was a team leader of the laboratory for Artificial Brain Systems, at Frontier Research Program RIKEN (Japan), in the Brain Information Processing Group.

He is co-author of more than 300 technical papers and four internationally recognized monographs (two of them translated to Chinese):

A. Cichocki, R. Zdunek, A.-H. Phan, and S. Amari: Nonnegative Matrix and Tensor Factorizations: Applications to Exploratory Multi-way Data Analysis, John Wiley, ISBN: 978-0-470-74666-0, (552 pages), November 2009 [link]
Adaptive Blind Signal and Image Processing (Wiley, April 2003 -revised edition)
Neural Networks for Optimizations and Signal Processing (Teubner-Wiley,1994)
CMOS Switched-Capacitor and Continuous-Time Integrated Circuits and Systems (Springer-Verlag, 1989)

His h-index is h=70 and his profile can be found at Google Scholar by typing his name Cichocki or visiting his Google Scholar page.

Prof. Ian Oppermann
NSW Data Analytics Centre, Australia

Ian Oppermann is the CEO and Chief Data Scientist at NSW Data Analytics Centre. Ian has over 20 years’ experience in the ICT sector and, has led organizations with more than 300 people, delivering products and outcomes that have impacted hundreds of millions of people globally. He has held senior management roles in Europe and Australia as Director for Radio Access Performance at Nokia, Global Head of Sales Partnering (network software) at Nokia Siemens Networks, and then Divisional Chief and Flagship Director at CSIRO. Ian is considered a thought leader in the area of the Digital Economy and is a regular speaker on “Big Data”, broadband enabled services and the impact of technology on society. He has contributed to 6 books and co-authored more than 120 papers which have been cited more than 3200 times. Ian has an MBA from the University of London and a Doctor of Philosophy in Mobile Telecommunications from Sydney University. Ian is a Fellow of the Institute of Engineers Australia, a Fellow of the IEEE, a Fellow of the Australian Academy of Technological Sciences and Engineering, a Senior Member of the Australian Computer Society, and a member of the Australian Institute of Company Directors.

Dist. Prof. Xinghuo Yu
RMIT University, Australia

Professor Xinghuo Yu is the Associate Deputy Vice-Chancellor (Research Capability) and a Distinguished Professor of RMIT University (Royal Melbourne Institute of Technology), Melbourne, Australia. His research interests include variable structure and nonlinear control, complex and intelligent systems and industrial applications especially in Smart Grids. He received a number of awards and honours for his contributions, including 2013 Dr.-Ing Eugene Mittelmann Achievement Award of IEEE Industrial Electronics Society. He was named a Highly Cited Researcher by Thompson Reuters in 2015 and 2016. Professor Yu is a Fellow of IEEE and IET. He is currently President-Elect of IEEE Industrial Electronics Society.

Dr. David Hansen
Australian e-Health Research Centre, Australia

David Hansen is CEO of the Australian e-Health Research Centre, a joint venture between the Commonwealth Scientific and Industrial Research Organisation (CSIRO) and Queensland Health. David leads a research program of over 65 scientists and engineers developing information and communication technologies for the healthcare system. Project areas include predictive analytics, health informatics, biomedical imaging, mobile and tele-health. Prior to joining CSIRO, David worked for LION bioscience Ltd in the UK, developing genomic data and tool integration software.

David is also the Chair of the Board of the Health Informatics Society of Australia (HISA) and played a key role in initiatives such as the introduction of the Certified Health Informatician Australia (CHIA) program and the annual Health Informatics Conference (HIC) and Big Data conferences.

David is passionate about the role of information and communication technologies in health care and the role of Health Informatics professionals in developing a safe, high quality efficient and sustainable healthcare system in Australia.

Dr. Amy Shi-Nash
Commonwealth Bank, Australia

Amy Shi-Nas is the head of Data Science at Commonwealth Bank. Amy has 17 years of experience in data mining, consumer analytics, loyalty, marketing, management consulting and telecommunications globally. As the Head of Data Science at CBA, she is responsible for driving the strategic direction of the data science capability, enabling business transformation and differentiated customer experience. Prior to CBA, Amy was the founding member and Chief Data Science Officer of DataSpark, Singtel’s data analytics spin-off. Responsible for driving data-led innovation and creating new revenue steams by combining telco data with advanced analytics and big data technology. Amy is a Science Board Member of i-Com and since 2013 is an Industry Track Program Committee Member of ACM KDD. She is a frequent public speaker, a co-inventor and co-author of multiple Patents and Publications. She holds a Ph.D in data mining and an MBA.

Prof. Timos Sellis
Swinburne University of Technology

Timos Sellis is a Professor at Swinburne University of Technology, Australia, where he is also leading the Research Centre on Big Data and Data Analytics. He holds a Diploma from National Technical University of Athens (NTUA), an MSc degree from Harvard University, and a PhD from the University of California at Berkeley. Till the end of 2012 he was the Director of the Institute for the Management of Information Systems (IMIS) and a Professor at NTUA, Greece. He has published more than 200 publications; Google Scholar reports more than 12,000 citations to his work, h-index 51. He was the president of the National Council for Research and Technology of Greece (2001-2003). His research interests include big data, data streams, personalization, data integration, and spatio- temporal database systems. He is an IEEE Fellow, for his contributions to database query optimization, and spatial data management, and an ACM Fellow, for his contributions to database query optimization, spatial data management, and data warehousing.

Prof. Dave Winkler
CSIRO, Australia

David A. Winkler is a Senior Principal Research Scientist with CSIRO and an Adjunct Professor at Monash, Latrobe and Flinders Universities. His research interests have mainly involved computational molecular design and complex systems. He employs computational methods developed for small molecule research and applies them to regenerative medicine, materials, and nanoparticle research. Dave was awarded traveling fellowships to Kyoto and Oxford, and CSIRO Business Excellence Medal, Newton Turner Fellowship, Adrien Albert Award for Medicinal Chemistry from the RACI, and Royal Academy of Engineering Distinguished Visiting Professorship Imperial College London. He is a past Board Chairman of the Royal Australian Chemical Institute, past President of Asian Federation for Medicinal Chemistry, Board member of Science & Technology Australia (STA), and member of the Australian Academy of Science National Committee for Chemistry. He has published over 200 scientific papers and book chapters, and is an inventor in over 20 patents. Dave is on the Editorial Board of the journals ChemMedChem, Perspectives in Drug Discovery, and BMC Biophysics.

Prof. Saman K. Halgamuge
The Australian National University, Australia

Prof. Saman Halgamuge is the Director, Research School of Engineering, The Australian National University. He has held appointments as Professor and Associate Dean International at the University of Melbourne. He graduated with Dipl.-Ing and PhD degrees in Data Engineering (“Datentechnik”) from Technical University of Darmstadt, Germany and B.Sc. Engineering from University of Moratuwa. He has an outstanding research record in Data engineering, which includes Big Data Analytics and Optimization focusing on applications in Mechatronics and Bioengineering. He has been a frequently invited public speaker with talks at IBEC Spain (2015), University of British Columbia (2014), Shanghai Jiao Tong University (2014), IITs in Kanpur, Kharagpur and Chennai, India (2012-14), , Robert Bosch Germany (2011), Academia Sinica Taipei (2011), Nanjing University of Aeronautics and Astronautics, China (2010) and NASA JPL Labs in Pasadena (2008). He has also delivered about 20 keynote speeches worldwide.

He completed supervision of 32 PhD students and currently supervises a group of 15 PhD students. He is an Associate Editor of BMC Bioinformatics and IEEE Transactions on Circuits and Systems II: Express Letters and founding co-editor of Frontier’s journal on Mechanical Engineering- Mechatronics section. He published over 250 research papers including a research book, 6 edited books, 20 book chapters, 100 journal articles, and over 130 refereed conference papers attracting over 6300 Google Scholar (h-factor: 33). He is a member of Australian Research Council (ARC) College of Experts panel for Engineering, Information and Computing Sciences. His full profile is at http://scholar.google.com.au/citations?sortby=pubdate&hl=en&user=9cafqywAAAAJ&view_op=list_works

Prof. Yi-Ping Phoebe Chen
La Trobe University, Australia

Yi-Ping Phoebe Chen is Professor and Chair at the Department of Computer Science and Computer Engineering, School of Engineering and Mathematical Sciences, Faculty of Science, Technology and Engineering, La Trobe University, Melbourne Australia. She was Head of Department from Sep 2010 to April 2012. Professor Phoebe Chen hosts the ARC Centre of Excellence in Bioinformatics from 2008 - present and ARC Centre in Bioinformatics from 2003 to 2007. Prof Phoebe is a senior visiting professor of Fudan University Shanghai China, adjunct professor of National Chiao Tung University, Hsinchu, Taiwan, adjunct professor of National Taiwan Ocean University and adjunct professor of Guangxi University. Phoebe is a senior member of IEEE, senior member of ACM.

Phoebe finished her Bachelor of Information Technology degree in School of Information Technology and Electrical Engineering of the University of Queensland (UQ), in Brisbane, Australia. After that she finished Honours (First Class) in Information Technology in UQ. Phoebe received her Ph.D. degree in the area of Computer Science (Bioinformatics) in University of Queensland. Phoebe also finished Graduate Certificate in Higher Education from Queensland University of Technology (QUT).

Phoebe has been awarded 30 research grants around 8 millions (include 13 prestigious Australia Research Council (ARC) Grants) so far. Recently, Phoebe just received one ARC Discovery project from 2013 -2015. Phoebe received one ARC Centre of Excellence in Bioinformatics as project leader and chief investigator from 2008-2010; 2003-2007, ARC Discovery - Exploiting Database Technologies for the Visualization and Analysis of Measured and Simulated Plant Structures in Bioinformatics as a sole Chief Investigator (CI) and one ARC Linkage-International - Development of Knowledge Discovery for High Dimensional Biomedical Data 2004 round and from 2005-2007. Phoebe is also the Principal Chief Investigator (CI) and Project Leader for an ARC large Discovery Grant (Previous ARC Large) on Integrating Database Technologies and Visual Analysis in Bioinformatics for Genome Data. Phoebe is also CI and QUT Manager of an ARC Large Linkage-Infrastructure grant on Computational infrastructure for high-throughput genome bioinformatics. She is a sole CI of ARC Linkage Project Grant on Design and Development of a Web-based Intelligent Multimedia Mining System. She is also a CI of successful ARC Centre in Bioinformatics. Prof. Chen is also three ARC Network Seeding Grants CIs. Most of them are in Bioinformatics and Multimedia field.Phoebe Chen's Photo - 20/04/2010

Her research interests include bioinformatics, multimedia technologies, and Information Systems. She presented her research results at various international and national conferences, and has published more than 200 refereed publications since 1999. They appear in high standing publications, such as Nucleic Acids Research, BMC Genomics, BMC Bioinformatics, Current Drug Metabolism, Data Mining and Knowledge Discovery, IEEE Transactions on Knowledge and Data Engineering, Information Systems, IEEE Multimedia, ACM Transactions on Multimedia Computing, Communications and Applications etc. Phoebe is an editor for several journal issues and proceedings, such as IEEE Transactions on Multimedia, Current Bioinformatics, BMC Genomics (2012-2015), BMC Bioinformatics (2009-2011, 2013-2015), BMC Systems Biology (2013-2015), IEEE/ACM Transactions on Computational Biology and Bioinformatics (2013-2015), Asia-Pacific Bioinformatics Conference (since 2003), International Multimedia Modelling Conference (since 2003). She is the author of the book Bioinformatics Technologies (Springer) that was published in Jan 2005.

She also participates in various professional activities for the above research areas. She is a founder of the Asia-Pacific Bioinformatics Conference (and the Chair of the steering committee). She is also a steering committee Chair for International Multimedia Modelling Conference (MMM). Phoebe is the area Chair in the ACM Multimedia conference 2015 (ACM MM2015), the program Chair of the Ninth Asia Pacific Bioinformatics Conference (APBC2011), and conference co-chair of the Third International Workshop on Conceptual Modelling for Life Sciences Applications (CMLSA 2010), and the 16th International Conference on Multimedia Modelling (MMM2010). She is the guest editor for a number of journals, including BMC Genomics (2012-2015), BMC Bioinformatics, (2009-2011, 2013-2015), BMC Systems Biology (2013-2015), IEEE/ACM Transactions on Computational Biology and Bioinformatics (2013-2015), Computational Biology and Chemistry (2013-2015), BBA - Proteins and Proteomics (2013), etc. She is also the editorial board member of IEEE Transactions on Multimedia (T-MM), Current Bioinformatics, International Journal of Intelligent Computing in Medical Sciences and Image Processing, Journal of Research and Practice in Information Technology (JRPIT), etc. She is also a program committee member for many international/national conferences, such as PAKDD2015, DEXA2015, PAKDD2014, RECOMB2014, SDM2014, DEXA2014, PAKDD2013, APBC2013, RECOMB2013, ISMB2012, ICDM2011. Phoebe is a regular reviewer for a number of international journals and conferences, including Bioinformatics, Nucleic Acids Research, IEEE Transactions on Knowledge and Data Engineering, Information Sciences, Journal of Internet Technology, IEEE Transactions on Multimedia, Multimedia Tools and Applications, Asia-Pacific BioTech News, Journal of Visualization Language and Computing, ISMB, PAKDD, etc.

Before PhoebPhoebe Chene joined La Trobe University, Phoebe was an Associate Professor (Reader) at the School of Information Technology, Faculty of Science and Technology, Deakin University Melbourne Campus Australia from Dec 2003 to April 2010. Phoebe was the Group Leader of Bioinformatics Research and Multimedia Information Retrieval group leader. Phoebe was the Director of Research (Associate Head of Research) of School of Information Technology Deakin University from 2004-2005 and was head of Multimedia Stream from 2004 to 2006. Phoebe has been a Associate Lecturer, Lecturer and Senior Lecturer at the School of Information Systems, Faculty of Information Technology at Queensland University of Technology from Jul 1999 to Nov 2003. In this position, she has been a unit coordinator and lecturer in Interactivity Design, Multimedia Systems, and Advanced Multimedia Technologies. Dr. Chen was a Postgraduate Project Coordinator including honours and master. She was involved in the Cooperative Information Systems Research Centre in the Faculty of Information Technology as an operation manager, researcher/investigator and as its web administrator/master. She has been an active researcher in the Centre for Information Technology Innovation. She has supervised PhD, Master by Research, Honours and other projects students. She was also a web administrator/master for the School of Information Systems. She has established Advanced Bioinformatics Research Lab in QUT.

Before Phoebe joined QUT, she was a senior research programmer for both Department of Commerce and the School of Psychology in UQ for two years. She also taught and tutored for several subjects in the Department of Computer Science of The University of Queensland for 4 years. In additional to that, she acted as a senior software engineer and senior programming consultant for several companies and projects before starting her academic career. Phoebe has designed and implemented flexible delivery material, entitled “Interactive Finance CD”, with Prof. Steve Gray that has been used in both Australian (UQ for both St. Lucia and Ipswich campus, AGSM UNSW, RMIT) and American Universities (such as Duke University).

Dr. Manuel Cebrian
DATA61, Australia

Dr. Manuel Cebrian is principal research scientist with the Data61 Unit at the Commonwealth Scientific and Industrial Research Organisation in Melbourne, Australia; and a founding member of Scalable Cooperation, an MIT Media Lab research group in Cambridge, USA. Cebrian earned a Ph.D. in computer science from Universidad Autonoma de Madrid, where his thesis received the dissertation of the year award for his work on plagiarism networks. His work lies at the intersection of the computer and social sciences. His primary interest is understanding how social networking can make it easier to find people and solve real-world problems. His work is best illustrated by his victories in the DARPA Network Challenge as well as the Department of State Tag Challenge, but most importantly, by his brutal defeat in the DARPA Shredder Challenge, the first case of large-scale sabotage to crowdsourcing ever studied. A summary of Cebrian's body of work can be found in Nautilus, Medium, and Madri+d. Recent articles by Nature, The Economist, and New Scientist highlight Cebrian's contributions to crowdsourcing, put in perspective by his brief history of social search.

Dr. Simon Dunstall
DATA61, Australia

Simon Dunstall is Research Director leading the Decision Sciences Program in CSIRO Data61. Simon research interst is in analytics and optimisation. His recent work includes the development of infrastructure network planning systems and the development of methods for quantifying and managing the bushfire-related risks posed by powerlines in Australia. In addition to his role at CSIRO, Simon is the current national president of the Australian Society for Operations Research (ASOR).


Prof. Dimitrios Georgakopoulos
Swinburne University of Technology, Australia

I joined Swinburne University of Technology in July 2016 to start a new Key Laboratory for IoT in the university’s Digital Research & Innovation Capability Platform. Before that I served as a Research Director (2008-2014) of CSIRO’s ICT Centre and the Executive Director of the Information Engineering Laboratory, which was the largest Computer Science research program in Australia. Prior to joining CSIRO, I held research and management positions in several industrial laboratories in the US, including Telcordia Technologies (where he helped found and led two of Telcordia’s Research Centers in Austin, Texas, and Poznan, Poland); Microelectronics and Computer Corporation (MCC) in Austin, Texas; GTE (currently Verizon) Laboratories in Boston, Massachusetts; and Bell Communications Research (Bellcore) in Piscataway, New Jersey. I was also a full Professor at RMIT University (2014-2016), and I am currently an Adjunct Professor at the Australian National University and a CSIRO Adjunct Fellow. I have authored/co-authored 150 journal and conference publications in computer science, which include three seminal papers in the areas of IoT, Service Computing, and Workflow Management. and my publications have been cited more than 9750 times. I have received two outstanding paper awards from the IEEE Computer Society (CS), as well as several IEEE CS service awards. I was the recipient of GTE’s (Verizon’s) Excellence Award. In Australia, I was a principal investigator in four ACT iAwards, and a CSIRO Plant Industry divisional innovation award. A recent IoT research outcomes has also won the Black Duck Rookie of the Year Award in the USA. I have attracted significant external research funding (>$35M) from various industry and government research funding agencies, ranging from DARPA and ARDA in the USA, to the Framework Program in the EU, to the Department of Human Services in Australia.

Prof. David Abramson
University of Queensland, Australia

David is the Director of Research Computing Centre at University of Queensland. He has been involved in computer architecture and high performance computing research since 1979.

He has held appointments at Griffith University, CSIRO, RMIT and Monash University.

Prior to joining UQ, he was the Director of the Monash e-Education Centre, Science Director of the Monash e-Research Centre, and a Professor of Computer Science in the Faculty of Information Technology at Monash.

From 2007 to 2011 he was an Australian Research Council Professorial Fellow.

David has expertise in High Performance Computing, distributed and parallel computing, computer architecture and software engineering.

He has produced in excess of 200 research publications, and some of his work has also been integrated in commercial products. One of these, Nimrod, has been used widely in research and academia globally, and is also available as a commercial product, called EnFuzion, from Axceleon.

His world-leading work in parallel debugging is sold and marketed by Cray Inc, one of the world's leading supercomputing vendors, as a product called ccdb.

David is a Fellow of the Association for Computing Machinery (ACM), the Institute of Electrical and Electronic Engineers (IEEE), the Australian Academy of Technology and Engineering (ATSE), and the Australian Computer Society (ACS). He is currently a visiting Professor in the Oxford e-Research Centre at the University of Oxford.

Prof. Matt Duckham
RMIT University, Australia

Matt Duckham is Professor of Geospatial Science in the School of Science, RMIT University. His research centers on spatial computing, in particular with uncertain geospatial information and with applications to sensor networks. He is author with Mike Worboys of a major GIS textbook, "GIS: A Computing Perspective". He has previously worked at the University of Melbourne and the the National Center for Geographic Information and Analysis (NCGIA) at the University of Maine, USA and he is currently the Program 2 Science Director for the CRC for Spatial Information.

Dr. John Brudenell
ZETARIS, Australia

John is a leading authority on data strategy, enterprise modelling and data modelling, data and solution architecture, data integration, data governance, master data management, enterprise data warehousing, analytics and ‘big data’. John has led client engagement teams on large transformation programmes for some of Australia’s largest organisations. He combines vast client experience with industry leading skills in consulting, technology and strategic IT advisory services. John has a proven ability to deliver innovative solutions to enable business to become and remain high-performing organisations. He has worked with senior managers and executives at Australia’s leading organisations, with a focus on adding business value in developing solutions that maximise reuse based on data sharing principles. John is able to obtain an in-depth understanding of new industries based on his strong consulting, communications and analytical capability, supplemented with his experience in developing business blueprints in more than twelve (12) industries. More recently, John has been providing consultancy and advisory services to senior executives on data architecture and strategy, particularly in relation to ‘big data’ strategies through to execution. Some of John’s clients over the past two years include a Sportsbet ‘big data’ strategy, data analytics at Westpac, ANZ, Toll, Transurban, Coles, Smart Group, Telstra, Veda and Nielsen. The Nielsen data analytics’ program of work is based on an Enterprise Data Hub concept introduced by John last year. John has an excellent ability to communicate complex IT issues with senior business managers using clear and concise language. John gained his PhD in information management and analytics based on enterprise modelling, information architecture and semantic data modelling. In addition to his years of industry experience, John has presented papers, e.g. “Improving Agile Effectiveness Using an Enterprise Model” and delivered keynote addresses on data strategy, information architecture and data warehousing at renowned industry conferences. John is currently the Chief Data Officer (CDO) at Zetaris, which is a data management, analytics’ software company with deep expertise in data analytics, information management and new big data technologies.

Mr. Gavin Whyte
KPMG, Australia

Gavin Whyte is the Director of DataScience at KPMG Australia. He was Head of Data Science Tabcorp and Big Data Engineer at Commonwealth Bank. He is a seasoned Data Scientist, executive, leader and strategist. Gavin is an expert in business communications, product and process design relating to DataScience space.

As a Director of DataScience for KPMG, and a machine learning specialist, he focuses on Data Science models for predictive capabilities.He has worn many hats in his career - programmer, researcher, manager, strategist, technical reviewer for many publications and DataScientist. He has a unique ability to mange multi-disciplinary projects and navigate complex challenges.

Mr. Trevor Townsend
Startupbootcamp, Australia

Trevor Townsend is the Managing Director Startupbootcamp Melbourne; Director and Investor of BroadCoast; Advisory Board Member of itconnexion and Founder & CEO of IoTCo. He was Non Executive Director of YoYo Button, Director; Strategic Business Development at SMS Management & Technology; National Director, Systems Integration at SMS Management & Technology; Owner at AIPEX Pty Ltd; Managing Director, South Asia at TIBCO Software Inc; Consultant at PCCW and held various roles in technology including Treasury Systems and Group IT at National Australian Bank.

Prof. Hans De Sterck
Monash University, Australia

Hans De Sterck is a Professor of Computational and Applied Mathematics at Monash University's School of Mathematical Sciences. He did his PhD research at the University of Leuven (Belgium), followed by postdocs and faculty positions at the University of Colorado at Boulder (USA) and the University of Waterloo (Canada). He joined Monash University in 2015. His research focuses on developing fast and scalable parallel numerical methods for computational science and data science. He has made contributions to large-scale parallel computing methods with applications in science and engineering. More recent research interests focus on models and algorithms for networks and data science, including algorithms for distributed big data analytics. Prof. De Sterck is a member of the senior editorial team of the SIAM Journal on Scientific Computing, and he co-chaired the 2015 SIAM conference on Computational Science and Engineering in Salt Lake City (USA), which, with 1,700 attendees, was the largest SIAM conference to date.

Prof. Yun Yang
Swinburne University of Technology, Australia

Yun Yang is a Professor of Software Engineering at Swinburne University of Technology. He holdas a PhD from University of Queensland. His research interests are in cloud and Internet Computing (Web services, service-oriented computing, (big data) data management, privacy, agents); Cloud, Grid and p2p based Workflow and Software Development on the Internet; Software Development Environments, Tools, and Verification; Distributed Systems Tools; Teamwork, Computer-Supported Cooperative Work (CSCW)/Groupware Awareness, e-Learning

Prof. Hua Wang
Victoria University, Australia

Hua is a full time Professor at the Centre for Applied Informatics (CAI), Victoria University (VU). Before joining VU, he was a Professor at the University of Southern Queensland (USQ) during 2011-2013. He obtained his PhD in Computer Science from USQ in 2004. Hua has over 150 peer reviewed research papers mainly in data security, data mining, access control, privacy and web services, as well as their applications in the fields of e-health and e-environment.

A/Prof. Michael Brand
Monash University, Australia

Michael Brand is a researcher, algorithm developer and data scientist with industry research experience in speech recognition, audio analytics, image, video and 3D-video analytics, Big Data analytics (including Fast Data and large graph analysis), data mining and machine learning.

His research interests include, but are not restricted to, discrete math, theory of computation, algorithms, optimisation problems both discrete and continuous and combinatorical problems.

Currently, at Monash University's Faculty of Information Technology, Michael is Course Coordinator for the "Data Science for Managers" executive short course (a joint offering with the Monash Business School), alternate course coordinator for the new (2015) Graduate Diploma in Data Science, and contributor, in addition to these, also to the new (2015) Master of Data Science. He is funded by grants from industry partners for research in data modeling and algorithm design, and works, in parallel, on research on the theory of computation and in particular on the theory of Big Data computation.

Prior to this: at Verint Systems, Michael developed the algorithms powering the company's Customer Interaction Analytics product, which garnered multiple prestigious awards (including three Product of the Year wins); at PrimeSense, Michael developed algorithms for the company's 3D sensor product, which was later re-sold by Microsoft under the name Kinect and became the record holder for the world's fastest selling consumer electronics device ever (8 million sold and over $1.2B in revenue in the product's first two months alone); and at Pivotal, Michael developed Big Data algorithms now used by a double-digit number of blue-chip companies around the world.

Michael holds a PhD in IT (from Monash University, for work on Random Access Machines), an MSc in Applied Mathematics (from the Weizmann Institute of Science, for work on Bargaining Theory) and a BSc in Engineering (from Tel-Aviv University). He has, additionally, published on design theory, graph theory, number theory and bio-informatics, as well as on safety analysis, object oriented design and handwriting recognition. Michael also manages the Internet site "Using your Head is Permitted" where he publishes each month mathematical riddles relating to these and many other mathematical disciplines.

Michael holds eight patents (relating to machine vision, speech recognition and information retrieval) and 10+ pending patent applications.

Prof. Aurore Delaigle
University of Melbourne, Australia

Aurore Delaigle is a professor in the Faculty of Science, School of Mathematics and Statistics at University of Melbourne and a Future Fellow of the Australian Research Council. Aurore holds a Ph.D. in Statistics, M.A. Statistics, Institute of Statistics, UCLouvain. Prior joining University of Melbourne she was a Reader at the School of Mathematics, University of Bristol; Assistant professor at the Department of Mathematics, University of California at San Diego; and BAEF postdoctoral fellow at the Department of Statistics, University of California at Davis. Aurore Delaigle is an Associate Editor for Annals of Statistics, JASA, JCGS, JRSS,B, Australian and New Zealand Journal of Statistics, Statistica Sinica.

Prof. Jing He
Victoria University, Australia

Dr. Jing He is currently a full professor in the College of Engineering and Science at Victoria University, Australia. She was awarded a PhD degree from the Academy of Mathematics and System Science, Chinese Academy of Sciences in 2006. Prior to joining Victoria University, she worked in the University of Chinese Academy of Sciences, China during 2006-2008. She has been active in areas of Data Mining, Web service/Web search, Spatial and Temporal Database, Multiple Criteria Decision Making, Intelligent Systems, Scientific Workflow and some industry fields such as E-Health, Petroleum Exploration and Development, Water recourse Management and

Mr. David Yip, Health Industry Technical Director
IBM, Australia/New Zealand

David is a senior Technical Executive and an IBM certified Business Solutions Expert. He is currently serving as the regional Technical Director for IBM’s Health business across A/NZ. He advises on business strategy, digital disruption and transformation, and leads technical sales and solutions for complex opportunities. Prior to this, David was the Technical Director for IBM's Smarter Cities initiative, during a high growth period from start-up to a $100M+ business in the A/NZ region, where he provided cross-organisational technical leadership bringing together IBM’s complete portfolio of Cloud, Analytics, Mobile, Social, Security, Watson, Research and Business Partner solutions for client innovation projects. Prior to this David held senior Sales and Business Executive positions in IBM’s Global Technology Services division, running IBM’s Data Centre Services business in A/NZ, which was involved in the design and construction of mission critical facilities for clients across Australia. He has personally lead numerous innovative infrastructure projects for major public and private organisations, such as building Australia’s most powerful supercomputer facility for life sciences research. With more than 15 years experience in telecom, infrastructure and IT, David has developed his expertise around business innovation using technology. He is actively involved in various industry forums, media and industry events.

Mr. Stuart Growse, Chief Digital Office
GCS AGILE, Australia

Stuart is an entrepreneurial technology executive and thought leader. He has a 22 year proven track record as a leader, advisor, investor and consultant working for tier 1 organisations globally including in Big Data and other Digital capabilities, product development and innovation, building high performing organisations and private equity. As the Chief Digital Officer at GCS AGILE he is responsible for company vision and strategy, product development and innovation and global delivery and service execution. He is the prefered partener for BigML, Inc; CR-X; mLogica and Yellowfin. He was a managing director at Accenture, Chief Technology officer at e-CentricInnovations, Head of Application Development & Maintenance (AD&M), Enterprise Services Technology at Australian National Bank; Vice President, Global Business Manager (CFO/COO), Exotics & Hybrids and Retail Structured Products, Vice President, EMEA Business Manager (CFO/COO), Equities, Investment Bank Technology, Vice President, International Head of LabMorgan Technology Solutions (LMTS) and Vice President, EMEA Head of LabMorgan Technology Solutions (LMTS) at JPMorgan; Manager at Accenture. He holds a Bachelor's Degree with Honors, Engineering, Computer & Digital Systems Engineering from RMIT University and a degree in Data Science for Managers, Data science for Monash University.

A/Prof. Xiuzhen Zhang
RMIT University, Australia

Xiuzhen Zhang is an associate professor at School of Computer Science and IT, RMIT University, Australia. She has been working in data mining and machine learning for over 15 years. She has published over 60 papers in reputable journals and conferences including IEEE TKDE, KDD and PAKDD. She has been a PC member for international and Australasian conferences including KDD, PAKDD, DEXA and ADC. Her research has been supported by Australian Research Council, Victorian State government and industry grants. She obtained her PhD in Computer Science from The University of Melbourne, Australia.

A/Prof. Christopher Bain
Mercy Hospitals Victoria, Australia

Christopher Bain is currently the Chief Health Information Services Manager at Mercy Hospitals Victoria Ltd (MHVL). MHVL includes Mercy Hospital for Women, Werribee Mercy Hospital, Mercy Mental Health, and other services geographically dispersed around Melbourne and other areas. He is leading a team of 60 plus staff through major process and technology transformation, they are planning to move from a paper heavy hybrid record to an EMR environment in the coming years. Christopher Bain is also the founder of HEALTHTECH-UX and an A/Prof. at Monash University.

Previously he was Director, Applications and Knowledge Management; Director of Information Services; Senior Research Fellow (Adjunct) and Acting Operations Director, Clinical Performance Unit at Alfred Health; Consultant Health Informatician and Senior Research Fellow (Honorary) at at Australian Centre for Health Innovation; Manager Performance Analysis and Data Governance at Ambulance Victoria; Information Manager at WCMICS; Manager at Melbourne Health and Medical Practitioner at Clinical Care.

A/Prof. Tomasz Bednarz
CSIRO and Queensland University of Technology, Australia

A/Professor Tomasz Bednarz currently works as a Team Leader at the CSIRO Data61, and Principal Research Fellow at the QUT, Science and Engineering Faculty, the ARC Centre of Excellence for Mathematical and Statistical Frontiers and the Institute for Future Environments. He also holds adjunct positions at the University of Sydney (Design Lab), University of South Australia (School of Information Technology and Mathematical Sciences). Earlier he worked as a Computational Research Scientist and Projects Leader at CSIRO's Digital Productivity Flagship. He joined CSIRO in early 2009, and worked as 3-D Visualisation Software Engineer, on immersive and tele-operating technology projects. In early 2011, he moved to Sydney to carry out works on image analysis using GPGPUs and heterogenous architectures, and led NeCTAR funded Cloud-based image analysis and processing toolbox project (http://cloudimaging.net.au) - that project received merit Queensland's iAward 2015. He also led project Platform for Big Data Analytics and Visual Analytics, connecting data analytics, statistical modelling, image analytics, machine learning, visualisation into one stack of reusable solutions running on the CSIRO infrastructure. His broad range of expertise spanning from image analysis, through numerical simulations and experiments with fluids, visualisation, computer graphics, demoscene to human-computer interactions is evidenced by the quality and number of publications (http://www.researcherid.com/rid/A-7376-2011). He runs Brisbane GPU Meet-up group, is active in the ACM SIGGRAPH International Resources Committee, chairs IEEE Computer Society Queensland Chapter, chairs Brisbane ACM SIGGRAPH Chapter and leads the Brisbane Khronos Group chapter. He actively promotes use of computational and visualisation techniques for science and research, and art + science methodology.

A/Prof. Shanika Karunasekera
University of Melbourne, Australia

Shanika Karunasekera is an Associate Professor in the Department of Computing and Information Systems at the University of Melbourne Australia. Her current research interests are in distributed data mining and real-time data analytics. Prior to joining the University of Melbourne in 2003 she was a Distinguished Member of Technical Staff at Lucent Technologies, USA. Shanika holds BSc from the University of Moratuwa, Sri Lanka and a PhD from the University of Cambridge, UK.

A/Prof. Uwe Roehm
University of Sydney, Australia

Associate Professor Uwe Roehm is a world-recognized researcher on database management systems and on data processing in sensor networks. He has developed freshness-aware scheduling (FAS), a novel approach to replication management in massive clusters that allows clients to trade data freshness for query performance. Associate Professor Roehm completed a PhD at ETH Zurich in 2002. He then worked as an IT consultant in Germany before joining the University of Sydney in 2004. He has been a reviewer for leading database conferences and journals such as International Conference on Very Large Databases, the ACM Conference on Information and Knowledge Management, the ACM SIGMOD Conference on Management of Data, the Conference on Innovative Data Systems Research, IEEE Transactions on Database Systems, and Information Systems Journal. He has been a visiting researcher with Microsoft's SQL Server group. He is Chief Investigator on an ARC-funded Discovery Project and also on a Linkage Project funded by ARC and Microsoft.


A/Prof. James Thom
RMIT University, Australia

Associate Professor James Thom is an academic in the School of Computer Science and Information Technology undertaking teaching and research into information storage analysis and retrieval. He hold a PhD in Computer Science from University of Melbourne. James Thom has previously held visiting positions at CSIRO (Mathematical and Information Sciences, Clayton, Australia), INRIA (Paris - Rocquencourt, France), and IBM Research (Melbourne, Australia). His research interests are in Information Systems, Business and Management, Library and Information Studies, Other Information and Computing Sciences, Data Format and Distributed Computing. In addition to supervision of research students, James Thom currently teaching courses in Database Systems and Big Data Processing.

Glenn Vassallo
PTC ThingWorx, Australia

Glenn Vassallo is highly experienced and innovative technical leader, entrepreneur and consultant, with over 25 years of experience. Currently working for PTC ThingWorx where he is focused on the intersection of IoT (Internet of Things), Machine Learning and Augmented Reality.

Glenn has previously held positions with Microsoft, Symantec and a number of technology start-ups. Glenn is part of the organising team for the Sydney IoE (Internet of Everything) Meetup group and founding member of the International IoE Community Network.

Recently, Glenn designed a wearable solution for sheep that was selected as a finalist in the Westpac Innovation Challenge for Agribusiness 2015. He is also a Texas Instruments MVP (Most Valued Professional) and was awarded the Texas Instruments E2E Wireless Member of the Year Award 2015.

Glenn holds a Bachelor of Mathematics from the University of Wollongong

A/Prof. Quoc Bao Vo
Swinburne University of Technology, Australia

Bao Quoc Vo is an Associate Professor at Swinburne University of Technology, Australia. He received a BSc degree from the University of Dalat, an MSc degree from the Asian Institute of Technology (AIT), and a PhD degree from the University of New South Wales. He has authored more than 100 articles in international journals and refereed conference proceedings, chaired and organized 3 international conferences and workshops, and been involved in the steering and program committees of some 20 conferences. He has successfully led 6 R&D projects funded by competitive grants and industry, delivering significant research and commercial benefits. His industry collaborators include Suncorp Group Ltd, AARNET, Zimbani, SAP, Siemens, BMW, InfoSys, Object Consulting, Thales, and Boeing. His research interests include artificial intelligence and machine learning, big data, cognitive analytics, and intelligent agent technologies. Together with other colleagues, he has developed and commercialized the smartcloudbroker.com, a cloud management framework with capabilities including end-to-end QoS management and SLA management for cloud services. He was a corecipient of the Best Student Paper Award at IEEE SCC 2015.

A/Prof. Kok-Leong Ong
La Trobe University, Australia

Kok-Leong Ong is an Associate Professor at La Trobe University working on Predictive Business Analytics.

Dr. Amir Vahid Dastjerdi
PwC, Australia

Amir is currently a manager at PwC Australia where he is developing scalable cloud-enabled technologies for cyber security. He is a technology enthusiast who has over a decade experience in research and development of distributed systems. Before joining PwC, he was a research fellow in the department of computing and information system in the University of Melbourne, where he developed efficient and scalable software systems and techniques for management of cloud computing, Big Data analytics, and Internet of Things environments. Prior to that, he was Cloud architect at Nexright and developed a compliance management as service solutions for Google drive. He received his PhD in computer science from the University of Melbourne. Recently, he edited two books on Big Data and IoT Principals and Paradigms which were published by Morgan Kaufmann, Elsevier. His current research interests include anomaly detection at scale, IoT and cloud service coordination, scheduling, and resource provisioning using optimization, machine learning, and artificial intelligence techniques.

Dr Ben Rubinstein
Melbourne University, Australia

Dr Ben Rubinstein joined the University of Melbourne in 2013 as a Senior Lecturer in Computing and Information Systems, researching machine learning, security & privacy. Previously he gained US industry experience in the research divisions of Microsoft, Google, Intel and Yahoo!; followed by IBM Research Australia. At Microsoft Research Silicon Valley, Ben shipped production systems for large-scale data integration in Bing and the Xbox (with features driving over $100m revenue; routinely linking billions of records daily). He is internationally recognised in the field of adversarial machine learning, which explores how data analytics can be manipulated by attackers particularly in cybersecurity domains. This research is funded by an Elon Musk (founder and CEO, Tesla Motors and SpaceX) backed grant, and is soon to be published in a Cambridge University Press book co-authored with security researchers at Berkeley and Google.

Dr Sanjeev Naguleswaran
QSpectral Systems, Australia

Sanjeev specialises in strategic consulting, data analytics, and R&D across multiple technology and commercial sectors. He enables the flow of innovation and research between universities and industries through strategic engagement with commercial and academic stakeholders. He has expertise in developing data driven methods for Remote Health Monitoring Systems, Economic Modelling and Venture evaluation as well as evidence based business analysis and optimisation. Sanjeev has a PhD in Physics from the University of Notre Dame, USA and an MBA from the university of South Australia. He used analytic methods on large data sets from accelerator based physics experiments before "big data" or "analytics" came into being.

Dr Mani Abedini
IBM Research, Australia

Mani Abedini is a Research Staff at IBM Research Australia. He is a data scientist and machine learning and image processing expert working for IBM Research, Healthcare analytic team. He graduated from the University of Melbourne, in Computer Science. He also has a strong background in software engineering and application development. He has extensive work on pattern recognition and predictive modeling. He has hands-on experience developing high performance computing applications using MPI, OpenMP, GPGPU programming. He holds a PhD from University of Melbourne.

Dr Stephanie Kovalchik
Game Insight Group at Tennis Australia & Institute of Sport, Exercise & Active Living (ISEAL), Australia

Dr. Stephanie Kovalchik is the lead data scientist in the Game Insight Group at Tennis Australia, the governing body of tennis in Australia, and a Research Fellow in sports analytics at the Institute of Sport, Exercise and Active Living at Victoria University. Her research focuses on the use of statistical methods to understand performance, game strategy, and mentality in high-performance tennis. She is also the creator of the tennis analytics blog On The T and regularly writes about tennis there and on twitter @StatsOnTheT.

Dr. Alex Dong
CUCPAY, Australia

Dr. Alex Dong is the CTO of CUCPAY which is one of the largest third part payment companies in China. Before that, Alex is an IT manager (Australia) at MXT Global after promoting from a senior system developer. He also worked for Enfinium, CSIRO and Microsoft as software and research engineer. Alexe hold a PhD from University of New South Wales in Participatory Image Sensing. Alex has deep understood about the big data concept in internet finance including the technical details and business model. Alex focuses on prepaid payment, online payment, supplier chain finance, credit rating system, and peer to peer (P2P) finance. Alex successfully develops and promoted citizen card (similar to opal card in Sydney) system in 3 china cities which has 2 million users.

A/Prof. Tao Gu
RMIT University, Australia

Dr. Tao Gu is currently an Associate Professor in Computer Science at RMIT University, Australia. He received his Bachelor degree from Huazhong University of Science and Technology, M.Sc. from Nanyang Technological University, Singapore, and Ph.D. in computer science from National University of Singapore. His current research interests include mobile computing, ubiquitous/pervasive computing, wireless sensor networks, distributed network systems, sensor data analytics, cyber physical system, Internet of Things, and online social networks. His publications appear in top journals and conferences. He serves as TPC members for many leading conferences and Journal editorial board members. He is a Senior Member of IEEE and a member of ACM.

Dr. Kelly Wyres
University of Melbourne, Australia

Kelly is a Post-Doctoral Research Fellow at the Centre for Systems Genomics at the University of Melbourne. Her research focuses on understanding the evolution of bacteria through exploring their DNA. Most recently Kelly has been using comparative genomics techniques to investigate the evolution and epidemiology of Klebsiella pneumoniae, a bacterial pathogen that causes large numbers of healthcare-associated infections and is associated with high rates of antimicrobial resistance. Kelly gained her Bachelor's and Doctoral degrees at the University of Oxford, UK where she held the St Catherine's College Graduate Scholarship for Sciences. Her Doctoral thesis explored the genomic evolution of another bacterial pathogen called Streptococcus pneumoniae, with particular focus on the evolution of penicillin resistance and vaccine escape. After completing her studies, Kelly moved to Melbourne and took a research position at IBM Research - Australia where she led the Genomics Team, exploring the use of computing for clinical and public health genomics.

Dr. Syed Khusro Saleem

Syed Khusro Saleem holds a PhD from University of Melbourne, 1997. His PhD topic was Developed methods for improving the resolution and noise immunity of deconvolution problems in RADAR and imaging applications. Syed Khusro Saleem is an engineer with over 18 years experience leading teams at start-ups, multi-national companies, and research centres. He has strong skills in building scalable, mission-critical systems and delivering to tight deadlines with fluid requirements. His current work and interests lie in architecting and developing large scale data and signal processing systems. His overriding objective in all the projects he undertakes has been to identify and deliver value to the end customer. Sayed worked for leading organisations includiding Defence Science and Technology Organisation, Bandspeed, NEC, NICTA, The Ag Analytics Company and Diverse Logic.

Dr. Meng Wang
Empirics, Australia

Dr. Meng Wang is currently a data scientist at Empirics, one of Australia's leading providers of data integration, analytics and business intelligence solutions. Empirics is also part of the Link Group, who administer financial ownership data for over 2,300 clients globally and drive user engagement through technology. Meng completed his BASc and MEng degrees in Electrical Engineering from the University of Toronto, and a PhD in wireless communications from the University of Melbourne. He is the recipient of the Best Paper Award at the IEEE Vehicular Technology Conference in June 2013, and the Best Student Paper Award at the Australian Communication Theory Workshop in February 2014. His research interests include algorithms for data science, wireless communication networks; statistical signal processing and information theory. He is currently working on predictive analysis and behavioural modelling with application to Australia's superannuation industry.

Dr. Jabed Tomal
University of Toronto, Canada

Dr. Jabed Tomal is working as an assistant professor in statistics in the department of computer and mathematical sciences at the University of Toronto, Toronto, Ontario, Canada. He is also affiliated in the department of statistical sciences of the same university. Dr. Jabed completed his PhD and MSc in Statistics from the University of British Columbia, Vancouver, British Columbia, Canada and University of Windsor, Windsor, Ontario, Canada, respectively. He was born in Bangladesh and obtained his BSc in Statistics from the University of Dhaka, Dhaka, Bangladesh. Dr. Jabed’s research circumvents statistical machine leaning, data mining and Bayesian statistical inference. His research focuses on developing statistical methods for high-dimensional data. Specifically, he develops statistical models by exploiting the richness of information presents in high-dimensional data. Another dimension of his research is in Bayesian estimation of sparsity parameter for models fitted to high-dimensional data. He focuses applying statistical methods in drug discovery, evolutionary biology and bioinformatics.

Zhinoos Razavi
RMIT University, Australia

Zhinoos is a PhD candidate at the NICTA RMIT Data Analytics Lab & in RMIT University and has a strong research focus in Mining Complex Data in the Highly Streaming Environment. Zhinoos is highly trained in summarisation methods for big data, to overcome limitations of conventional storage and transmission approaches in addition to summarisation and maintenance of multiple data streams to deal with high demands of online data processing. She now applies these skills to improve summarization algorithms. She was an intern at IBM from 2014 to 2016. Prior to the beginning of her PhD, she had participated in a joint project on image processing at the institute of telecommunication and IT, Aveiro, Portugal and Centre for Signal and Information Processing, at the Georgia institute of technology, Atlanta, USA from 2011 to 2013. Her research interests are distributed stream mining, machine learning, digital image processing, and data mining.

to be confirmed