Keynote Speech

Talk One

Keynote Speaker: Professor Takashi Washio, Osaka University, Japan

Topic: Measurement Oriented Machine Learning for Advanced Sensing Technologies

Abstract:

Based on recent progress of device and system techniques including nano and quantum technologies, various advanced sensing approaches are emerging. However, the outputs of these sensing devices are noisy and contain incomplete information in many cases, because they target extremely small objects or weak signals. These features hamper the measurements of the targets by using the device centered sensors. On the other hand, machine learning techniques rapidly growing are suited for estimation of the target objects from noisy and incomplete information. This talk describes recent machine learning studies for the measurements and their applications to the advanced sensing techniques to overcome their difficulties.

Biography:

Takashi Washio is a full professor in Department of Reasoning for Intelligence, The Institute of Scientific and Industrial Research, Osaka University which is located at Ibaraki City, Osaka, Japan. His department in Osaka University focuses on basic studies of machine learning and data mining and is a leading research group in Japan. His current main research interests are machine learning principles for high dimensional big data in the basic study and machine learning techniques for scientific advanced sensing in the application study. Takashi Washio obtained his M.E. and Ph.D. in the field of nuclear measurement and instrumentation control at Tohoku University, Miyagi, Japan, in 1985 and 1988, respectively. He was previously a visiting researcher of a Nuclear Reactor Laboratory of MIT (Massachusetts Institute of Technology), USA from 1988 to 1990, a senior researcher of Mitsubishi Research Institute from 1990 to 1996, and an associate professor in Osaka University from 1996 to 2006. He has received many awards including the Japanese Society for Artificial Intelligence (JSAI) Contribution Award in 2008 and IBM Faculty Award in 2017.

Talk Two

Keynote Speaker: Professor Young-Ho Lee , Korea Maritime & Ocean University(KMOU), South Korea

Topic: Experimental and CFD studies to optimize the turbine system applied to wind, hydro and marine renewable energy

Abstract:

The renewable energy requires high efficient energy converter called turbine used in wind energy, micro-hydro power and several marine energy. Nearly 20 years experiences on renewable energy research from the point of aero dynamic turbine design and its system performance analysis by CFD and experiment will be introduced. In wind energy, a new concept of wind velocity augment device is suggested and its performance is analyzed by CFD and model test by using wind tunnel. Several hydro turbines such as Francis, Pelton, cross-flow turbine are investigated in terms of its efficiency improvement for micro hydro application to environmental sustainability. Tidal current and wave energy turbines study for sea proto type test are reported. Especially, a new wave energy converter(WEC) called KMOU WAVESHIP is mentioned in more details for commercial development. Some previous and on-going collaboration activities with foreign developing countries on renewable energy development are also introduced.

Biography:

Professor Young-Ho LEE, who is now affiliated with division of mechanical engineering, Korea Maritime & Ocean University(KMOU), Busan, Republic of Korea, received his B.E. (1980), and M.E(1982) from KMOU and acquired Ph.D.(1992) from Univ. of Tokyo. His main research interest is in aerodynamic turbine design by experimentation and CFD analysis of renewable energy converters such as wind, wave and tidal current, marine energy, micro hydro power, off-shore mechanical energy storage systems (ESS)”. His lab(www.pivlab.net), named Flow Informatics Lab, introduced PIV technology first in Korea. His lab is also recognized as one of leading pump sump hydraulic model test bodies in the world. He was former member(2013-2015) of expert committee of energy & environment division of Korea National Science & Technology Council co-chaired by prime minister. He is now president of Korean society for new & renewable energy(KSNRE), former president for Korean society for Fluid machinery(KSFM) and vice president of Korea wind energy association (KWEA). He established annual Asia-Pacific Forum on Renewable Energy(AFORE, http://www.afore2011.org, KSNRE) in 2011 as chair of organizing committee. He was founding president of Korea Marine Equipment Research Institute(KOMERI, http://eng.komeri.re.kr/smartcms/page/main) in 2001. He was awarded academic research excellence prizes from KSFM(2012), KSNRE(2013), KMOU(2013, 2015), KWEA(2014) and Minister Prize(2015) from Ministry of Trade, Industry & Energy. Recently, he is awarded Busan Science & Technology Prize(2017) recognizing his renewable energy research activities. He is currently serving Renewable Energy international journal as subject editor(off-shore wind, hydro power, wave & tidal marine energy) He published over 45 international highly-cited journal papers since 2010 on renewable energy such as wind, wave, tidal current, micro hydro and ESS. He is particularly interested in international collaboration on renewable energy researches and establishing global networking for next generation sustainable growth and development especially in developing countries.

Talk Three

Keynote Speaker: Associate Professor Hemanshu Pota, The University of New South Wales, Australia

Topic: Distributed Generation Integration for Smart Grids

Abstract:

While the cost of renewable generation is decreasing, the cost of not integrating it in a smart way with the grid is increasing—as evidenced by the recent blackout in South Australia (SA) on 28 September 2016. The SA blackout, instead of a possible brownout, was due to the inability of the renewable generation to form a stable grid without external support and this dependence is detrimental to the renewable energy integration. In a transmission network, such as the SA grid, one may be able to justify a fossil fuel base-load plant but in future distribution systems, the prime location for renewable generation, the network should be stable and highly reliable with decentralised control and without any fossil fuel base-load support. The talk will discuss the type of grid formation which is essential to transform the legacy grid to a smart grid that can integrate renewable and energy storage resources at a much higher and wider participation levels in distribution systems.

Biography:

Hemanshu R. Pota received B.E. from Sardar Vallabhbhai Regional College of Engineering and Technology, Surat, India, in 1979, M.E. from the Indian Institute of Science, Bangalore, India, in 1981, and the Ph.D. from the University of Newcastle, NSW, Australia, in 1985; all in Electrical Engineering. He is currently an associate professor at the University of New South Wales, Canberra, Australia. He has held visiting appointments at Columbia University, New York City, the University of California, Los Angeles; the University of Delaware; Iowa State University; Kansas State University; Old Dominion University; the University of California, San Diego; and Centre for AI and Robotics, Bangalore. He has published over 140 journal papers, one research monograph, fourteen book chapters, and over 280 international conference papers. He is an associate editor of the IEEE Transactions on Control Systems Technology, and an Editor-in-Chief of Technology and Economics of Smart Grids and Sustainable Energy, a Springer journal. His current research interests are in the dynamics and control of power systems and control of atomic force microscope. He works as a consultant with GHD Consultants on power system dynamics and control related matters.

Talk Four

Keynote Speaker: Professor Jinjun Chen , Swinburne University of Technology, Australia

Topic: Big Data - Big Application

Abstract:

Right now, Big Data, Data Science or Data Analytics are being on wide interest in industry and academia. During this talk, we will discuss two questions based on my research industry engagement practice. The first one is business gain from such buzz words. This is a practical question from business. Based on my research, big data can help business to identify big niche market opportunity which can grow up to become major markets. For example, by analysing and generalising potential weak connection between previously sparse data sources such as flight booking data and supermarket user data, we can better expand or enhance the market for personal recommendation on flight booking. The second is about how researchers can make a full potential to business. A say is "It's not who has the best algorithm that wins. It's who has the most data" by Andrew Ng (Coursea founder). Data is becoming an important resource equally important to oil. While various public datasets are available to academics or researchers for research evaluation, those datasets may not be suitable or useful and timely for researchers. One way to make full potential of big data is to intensively work with industry because they have timely data. More or less, every industry is doing data analysis yet just on their specific purposes. We will brief our research and collaboration with specific industries.

Biography:

Dr Jinjun Chen is a Professor from Swinburne University of Technology, Australia. He is Deputy Director of Swinburne Data Science Research Institute, and Director of Data Science Platforms and Systems. He holds a PhD in Information Technology from Swinburne University of Technology, Australia. His research interests include scalability, big data, data science, software systems, cloud computing, data privacy and security, and related various research topics. His research results have been published in more than 140 papers in international journals and conferences, including various IEEE/ACM Transactions. He received UTS Vice-Chancellor's Awards for Research Excellence Highly Commended (2014), UTS Vice-Chancellor's Awards for Research Excellence Finalist (2013), Swinburne Vice-Chancellor’s Research Award (ECR) (2008), IEEE Computer Society Outstanding Leadership Award (2008-2009) and (2010-2011), IEEE Computer Society Service Award (2007), Swinburne Faculty of ICT Research Thesis Excellence Award (2007). He is an Associate Editor for ACM Computing Surveys, IEEE Transactions on Big Data, IEEE Transactions on Knowledge and Data Engineering, IEEE Transactions on Cloud Computing, as well as other journals such as Journal of Computer and System Sciences, JNCA. He is the Chair of IEEE Computer Society’s Technical Committee on Scalable Computing (TCSC).

Conference Track Chairs

Track 1: Big Data

Dr. Meena Jha, Central Queensland University, Australia

Track 2: Biomedical Engineering

Professor Alok Sharma, The University of The South Pacific, Fiji

Track 3: Cloud Computing

Professor Eisuke Kita, Nagoya University, Japan

Track 4: Information Systems

Professor Shamim Khan, Columbus State University, USA

Track 5: Multimedia

Dr. Kevin I-Kai Wang, The University of Auckland, New Zealand

Track 6: Networking, Security, and Internet of Things

Dr. Rajesh Palit, North South University, Bangladesh

Track 7: Robotics

Dr. F M Rabiul Islam, The University of The South Pacific, Fiji

Track 8: Software Engineering

Dr. Rohitash Chandra, Sydney University, Australia

Track 9: Applications in Business and Social Sciences

Dr. Keiji Takai, Kansai University, Japan

Track 10: Industry Relations

Dr John Ronczka, SCOTTYNCC Independent Research Scientists, AustraliaMr. Zakir Ahmed, Ministry of Infrastructure & Transport, Fiji

Call For Papers

Scope

We are delighted to invite authors in the area of Computer Science and Engineering to submit their recent research paper at 4th Asia-Pacific World Congress on Computing Science 2017 (APWC on CSE 2017) in Fiji on 12-14th December 2016. APWC on CSE 2017, the International Conference on Computing Science, aims to bring researchers, academics, scientists, industry people in a common platform yearly basis for presenting and discussing new innovative technologies in the area of Computer Science and Engineering. In particular, Big Data, Biomedical Engineering, Cloud Computing, Information Systems, Multimedia, Networking & Security, Robotics, Software Engineering and Applications in Business and Social Sciences. APWC on CSE 2017 is expected to give an overview of the state of the art as well as upcoming trends, and to promote discussion about the pedagogical potential of new technologies in Computer Science and Engineering to Asia-Pacific region.

Conference Areas

Each of these topic areas is expanded below but the sub-topics list is not exhaustive. Papers may address one or more of the listed sub-topics, although authors should not feel limited by them. Unlisted but related sub-topics are also acceptable, provided they fit in one of the following main topic areas:

AREA 1 :Big Data

- Big data mining - Big data scalability and reliability - Big data security - Big sensor data management - Managing and mining data in cloud computing - Managing and mining social networking data - Privacy in big data - Others

AREA 2 : Biomedical Engineering

- Biosignal sensors and signal processing - Body Area Network (BAN) for medicine and healthcare - eHealth systems and pervasive healthcare - Preventive care & long-term patient management - Privacy and security issues for biomedicine - Smart textiles for wearable BAN - Telemedicine and Telemonitoring - Wearable and implantable devices/systems - Others

AREA 3 : Cloud Computing

- Access Control - Cloud Computing Security - Intrusion Detection Methodologies and Applications - Reliable Computing - Trust Model and Trust Management Policy - Trusted Computing - Others

AREA 4 : Information Systems

- Applications of Information Theory - Business Process Change - Deductive vs Inductive Approaches - Enterprise Application Integration - Enterprise Resource Planning - Ethical, social, privacy, security and moral issues in an e-society - IS and Change Management - IS and Organisation Development - IS Quality Management and Assurance - Knowledge Management - Multi-Terminal Information Theory - Organisational IS Roles - Outsourcing Risks, Barriers and Opportunities - Quantitative vs. Qualitative Methods - Risk Management in IS Design and Development - Others

AREA 5 : Multimedia

- Compression algorithms - Crowdsourcing in multimedia systems and applications - Human-centered approaches to mobile and multi-device interaction with multimedia - Mobile augmented and mixed reality - Mobile multimedia services - Novel multimedia interfaces and technologies for multi-device interaction - Novel multimedia service architectures - Others

AREA 6 : Security and Internet of Things

- Communication networks - Future networks and architectures - Green the IoT - IoT applications and services development - Learning Automats Methodologies and Applications - Machine-to-machine communications - Metrics, Measurement and Evaluation of the IoT - Modelling and simulation of communications networks - Network architecture and system design for the IoT - Algorithms and data analysis techniques for the IoT - Security, Trust and Privacy in the IoT - Sensor and Actuator Networks - Wireless and mobile networking - Others

AREA 7 : Robotics

- Cognitive Approach for Robotics - Collective and Social Robots - Engineering Applications - Humanoid Robots - Human-Robots Interfaces - Industrial Networks and Automation - Intelligent Transportation Technologies and Systems - Mechatronics Systems - Physical Sensors - Grasping and Manipulation - Mobile Robots and Intelligent Autonomous Systems - Network Robotics - Surveillance, Fault detection and Diagnosis - Others

AREA 8 : Software Engineering and Applications in Business and Social Sciences

- Next frontiers of Software Engineering: use of big data - Rapid Application Development for Mobile - Service Oriented Architectures - Software Architectures and Engineering for Novel Systems - Software Engineering for Mobile Systems - Software Engineering for the Web - Software testing - System Software for Embedded and Ubiquitous Systems - Others

AREA 9 : Applications in Business and Social Sciences

- Applications using human-computer interaction - Business engineering - Business intelligence - Business studies of applications and technology - Crowd sensing - Enterprise computing and applications - Mobile phone sensing - Opinion mining - Pervasive computing - Social and Community Intelligence - Social aspects and issues of applications and technology - Social Behaviour Modelling - Social engineering - Social network analysis - Social Opinion Representation - Others

AREA 10 : Industry Relations

- Venture Capital Model' and 'willingness to invest' in the presented proposals - Fiji industry, academia and students have a mechanism to participate as equal partners and in harmony - Showcasing of technology and science needs, wants and capabilities - An 'international' perspective' with the context being 'Fiji - External concepts and partnerships are able to be fostered ( e.g. conference attendees: industry, academia, students etc) to progress Fiji - Opportunities for venture capital initiatives are able to be showcased - Technology transfer through leadership and management

Paper Submission

Authors can submit their original work in the form of a Regular Paper, representing completed and validated research about an issue discussing ideas, facts, situations, methods, procedures or results of scientific research focused on one of the conference topic areas. All papers must be submitted under the following IEEE guideline through the online submission. After the paper submission, authors will receive an automatic confirmation e-mail.

Publication

4th APWC on CSE 2017 will follow two publication models. All the conference paper submission will go through first for the peer review process. Then the accepted papers will place in the Digital IEEE conference proceedings. Few top ranked paper based on the reviewers ranking will be selecting for the following below journal special issues.

Technology and Economic Smart Grids and Sustainable Energy

Fijian Studies: A Journal of Contemporary Fiji

Journal of Software

Australian Journal of Computer Science and Engineering

The Conference content will be submitted Abstracting and Indexing (A&I) databases. IEEE reserves the right not to publish any proceedings that do not meet these standards.

Important Dates

Paper Submission Ends: August 31, 2017 September 30, 2017 {Final Extension} Author Notification: October 10, 2017 Camera ready / registration deadline: October 30, 2017 Conference Date: 11-13th December, 2017.

4th APWC on CSE 2017 Program Committee

Ashfaqur Rahman, CSIRO, Australia A H M Razibul, Visionstream Pvt Lt., Australia Abdul Mazid, Central Queensland University, Australia Ahmad Almogren, King Saud University, Kingdom of Saudi Arabia Alok Sharma, University of South Pacific, Fiji Al-SakibKhan Pathan, International Islamic University Malaysia, Malaysia Aman Jantan, Universiti Sains Malaysia, Malaysia Andrew Kusiak. The University of Iwoa, United States Andrew Hellicar, CSIRO, Australia Andrew Chiou, Central Queensland University, Australia Ayub Ali, Rajshahi University, Bangladesh Azizul Rahman, Universiti Sains Malaysia, Malaysia Azizur Rahman, Charles Sturt University, Australia Azlin Nordin, International Islamic University, Malaysia Basem Almadani, King Fahad University of Petroleum and Minerals,Kingdom of Saudi Arabia Bimal Aklesh Kumar, Fiji National University, Fiji Charlotte Sennersten, CSIRO, Australia Clifton Phus, SAS, Singapore Depeng Li, University of Hawaii, USA Daniel Smith, CSIRO, Australia Ekramul Hamid, Shizuoka University, Japan Elan Sasson, Tel Aviv University, Isreal Fariza Nasaruddin, University of Malaya, Malaysia Ferdous Sohel, The University of Western Australia, Australia FikretS Gurgen, Bogazici University, Turkey Fionn Murtagh, De Montfort University, United Kingdom Gancho Vachkov, The University of The South Pacific, Fiji Greg Smith, CSIRO, Australia GM Shafiullah, Murdoch University, Australia Hua Wang, Victoria University, Australia Jesmin Nahar, The University of Fiji, Fiji Jin Wang, Nanjing University of Information Science and Technology, China Jose Borges, University of Porto, Portugal K R Kashwan, Sona College of Technology, India Kasturi Dewi Varathan, University of Malaya, Malaysia Khondaker Abdullah AlMamun, University of Toronto,Canada Laiha Mat Kiah, University of Malaya, Malaysia Liam O’Brien, Geoscience Australia, Australia Mahbubur Rahim, Monash University, Australia M H Assaf, The University of the South Pacific, Fiji M N H Mollah, Rajshahi University, Bangladesh Manmeet Kaur, UniversitiSains Malaysia, Malaysia Manoranjan Paul, Charles Sturt University, Australia Maurizio Cirrincione, The University of the South Pacific, Fiji Mazliza Othman, University of Malaya, Malaysia Meena Jha, Central Queensland University, Australia Md Asaduzzaman, Staffordshire University, United Kingdom Md Aktaruzzaman, Università Degli Studi di Milano, Italy Md RafiqulIslam, Charles Sturt University, Australia Md Samsuzzoha, Swinburne University of Technology, Australia Mohamed Guerroumi, USTHB University, Algeria Mohammad Azam, King Saud University, Kingdom of Saudi Arabia Morshed Chowdhury, Deakin University, Australia Mustafizur Rahman, Defence Science and Technology Organisation,Australia Nigel Yee, UNITEC, New Zealand Nirmal Kanti Mitra, Fiji National University, Fiji Norsaremah Salleh, International Islamic University, Malaysia Nor Badrul Anuar, University of Malaya, Malaysia Omar Farooq, Aligarh Muslim University, India Praneel Chand, TheUniversity of the South Pacific, Fiji Ragib Hasan, University of Alabama, United Kingdom Rafiul Hasan, King Fahd University of Petroleum and Minerals, Saudi Arabia Rafiqul Islam, Khulna University, Bangladesh Rafiqul Zaman Khan, Aligarh Muslim University, India Rakib Ahmed, Australian Bureau of Statistics, Australia Rashid Ali, Aligarh Muslim University, India Ravin N Deo, The University of the South Pacific, Fiji Richi Nayak, Queensland University of Technology, Australia Roberto Sassi , UniversitàDegli Studi di Milano, Italy Rohitash Chandra, The University of the South Pacific, Fiji Ulrich Engelke, CSIRO, Australia Saddat M Alhashmi, Abu Dhabi University, United Arab Emirates Salahuddin Al-azad, Central Queensland University, Australia Saleh Wasimi, Central Queensland University, Australia Sanjay Jha, Central Queensland University, Australia Seiya Imoto, The University of Tokyo, Japan Shadi Basurra, Birmingham City University, United Kingdom Shareeful Islam, University of East London, United Kingdom Shivakumara Palaiahnakote, University of Malaya,Malaysia Siddhartha Bhattacharyya, RCCIIT, India Siew Hock OW, University of Malaya, Malaysia Sohail Asghar, COMSATS Institute of IT, Pakistan Syaheerah Lebai Lutfi, Universiti Sains Malaysia, Malaysia Tamas Szecsi, Dublin City University, Ireland Tamjidul Hoque, University of New Orleans, United States Tarek M. Sobh, University of Bridgeport, United States Tofazzal Hossain, Dixon Advisory, Australia Tugrul Yanik, Celal Bayar University, Turkey Zakirul Alam Bhuiyan, Temple University, United States Zeyar Aung, Masdar Institue of Technology, UAE Yu Wang, Deakin University, Australia Yi Zuo, Nagoya University, Japan

Conference Venue

Mana Island Resort & Spa

Mana Island Resort & Spa a hidden paradise nestled in the heart of the Mamanuca group, only 32km West of Nadi and is situated on a 300 Acre lush tropical paradise, amongst white sandy beaches and crystal clear waters. The resort offers an extensive range of accommodation from honeymoon bures to luxury suites rooms or the Modern yet traditional Fijian Bures with each category having their own ambiance and features to suit different needs

Visit Mana Island Resort & Spa Website

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