Theme Keynote Speakers

Smart City

Prof Jung Hoon Han, The University of New South Wales, Sydney Australia, Open data innovation in next-generation smart cities (Session: ENG I-01)


Today the world’s largest economies and corporations trade in data and its products to generate value in new disruptive markets. The provision and application of Big data or open data has enormous potential to transform exclusive, technocratic “smart cities” into inclusive and responsive “next-generation smart cities”. This keynote argues that those who contribute urban data should benefit from smart city service and production. Like the city itself, the information landscape is a public asset produced through collective effort, attention, and resources. People produce data through their engagement with the city, creating digital footprints through social medial, mobility applications, and city sensors. By opening up data there is potential to generate greater value by supporting unforeseen industry collaborations, spontaneous urban innovations, and improved planning decision-making insights. Smart cities around the world compete for talent and access to knowledge by implementing policies and incentives to promote the vitality of their knowledge industries and the right type of industrial ecosystem necessary to stimulate innovation. The move to next-generation smart cities builds upon diversity of open data and innovation through the industrial ecosystem and dynamic urban spaces.


Energy and Environment

Prof Tae-Hyun Bae, Korea Advanced Institute of Science and Technology, Maximizing biomethane production in waste-to-energy conversion system using membrane technology (Session: ENG I-01)


Biogas produced in anaerobic digestion process has been considered as a renewable energy source which is derived from wastes. To recover biomethane from the anaerobic effluent and thereby maximize the energy recovery from anaerobic processes, a membrane contactor was employed as a mass transfer equipment for the CH4 recovery. First of all, we developed a series of hollow fiber membranes using various materials and methodology. The tests revealed that our membranes performed better than commercial polypropylene membranes owing to their high porosity and hydrophobicity. The long-term stability of membranes was also successfully demonstrated with real anaerobic membrane bioreactor (AnMBR) effluent. In addition, a mathematical model considering simultaneous desorption of CH4 and carbon dioxide (CO2) is developed using a resistance-in-series model to calculate the overall mass transfer coefficients. It was also found that the CO2 desorption increased the CH4 recovery rate. The desorbed CO2 helped to increase the mass transfer driving force by reducing the partial pressure of CH4 in the gas side, and enhancing the gas phase mass transfer coefficient to facilitate CH4 desorption. Energy balance between electrical energy obtained from the recovered CH4 and energies consumed by vacuum and liquid pumps for the operation of membrane contactor were also investigated. Results revealed that a combination of a high strip gas flow rate and slightly low vacuum condition closed to the atmospheric pressure can provide the highest net energy at 0.178 MJ/m3. In the following studies, the factors affecting the net energy production were further investigated and the strategies to control membrane fouling were proposed.


Additive Manufacturing

Prof Dong-Gyu Ahn, Chosun University, Design and Manufacturing Chains for Metal Forming Tools with the Enhanced Functionality Using a Metal Additive Manufacturing Process (Session: ENG I-02)


One of key research issues in industries of metal forming tools is the enhancement of the service life and the cost through the improved functionality of tool surfaces. Layer-by-layer deposition characteristics of a metal additive manufacturing (AM) process can easily provide the functionality of the tool surface via a selective deposition of different materials on the substrate of the tool. In this paper, design and manufacturing chains for bulk and sheet metal forming tools with the enhanced functionality using the metal AM process is introduced. The design method based on design for AM (DFAM) and the manufacturing technology using a hybrid metal AM process consisting of a pre-processing, a directed energy deposition (DED) and post-processing are investigated. Through case studies for practical bulk and sheet metal forming tools, applicability and benefits of the proposed design and manufacturing chains are discussed.


Smart Factory

Prof Sang Won Lee, Sungkyunkwan University, Recent Advances in Smart Factory Technology: Case Studies on Prognostics and Health Management (PHM) and Automation (Session: ENG I-02)


As the 4th industrial revolution has become a world-dominating mega technological trend, much attention has been paid to several core technologies such as robotics, big data analytics, internet of things (IoT), artificial intelligence (AI), cyber-physical system (CPS), and so forth. In particular, the smart factory technology has been conceived by applying the above-mentioned core technologies to manufacturing processes and systems. The smart factory can be defined as an innovative manufacturing plant combining sensor network, big data management system, AI-based CPS and user friendly human-machine interface (HMI) to fulfill self-optimization, self-adaption and autonomous operation for entire production processes. In this context, two successful case studies are presented: (1) prognostics and health management (PHM) and (2) automation. In the PHM case study, the quality monitoring and fault diagnosis on a robot-based spot welding system, which have been widely used in an automobile industry, are discussed by introducing a data-driven approach with the big data processing, AI algorithm and web-based CPS. In the automation case study, the process automation for a garment industry is discussed by developing the vision-based garment recognition and the robot-based garment gripping and transfer for smart textronics application. These case studies can provide insight into future research directions in the smart factory field.


This study has been conducted with the support of the Korea Institute of Industrial Technology as “Development of smart-textronics products based on electronic fibres and textiles” (JA190001). This study has also been conducted with the support of the Gyeonggi-Do Technology Development Program as “Development of smart-textronics products based on electronic fibres and textiles” (IZ190003).


Data Sciences

Prof Seok-Hee Hong, University of Sydney, Australia, Faithful Visual Analytics of Big Complex Data (Session: ENG II-01)

Recent technological advances have led to big complex data models in many domains, including webgraphs, software engineering, cyber security, health informatics, social networks and biological networks. Good visualisation can reveal the hidden structure of the data and amplifies human understanding, thus leading to new insights and findings, and possibly predict the future. However, visualisation of big complex data is extremely challenging due to scalability and complexity. This talk will introduce new algorithms for the Visual Analytics of extreme-scale networks. Our approach is based on algorithmics for Graph Drawing, integrating sublinear algorithms and distributed algorithms, and evaluated with real world social network and biological network data sets. These new algorithms will be used in the next generation Visual Analytic tools for extreme-scale data to enable analysts develop new insights and new knowledge.


Advanced Materials

Prof Duk-Yong Choi, Laser Physics Centre, The Australian National University, Materials and nanofabrication of optical meta-surfaces (Session: ENG II-01)


An optical meta-surface is an artificial nanostructured interface that has subwavelength thickness and that manipulates light by spatially arranged meta-atoms, which usually consisting of metallic or dielectric nano-antennas. It is an exciting and rapidly developing area of nano-optics recently, as it can directly change light properties such as phase, amplitude, and polarization with single layer patterns, i.e., easy manufacturing. With the advancement of nanofabrication technology, the optical meta-devices can not only provide more advanced practical gadgets in daily life such as ultra-thin lens for virtual reality, eco-friendly colour filters in display, and anti-counterfeiting bank notes, but also demonstrate ground-breaking new physics including Harry Potter’s Invisibility Cloak.

In this talk I present my research focus on the optical materials and nanofabrication of meta-surfaces devices, mostly carried out through the collaboration with Korean, Chinese, and Australian researchers. Various materials have been utilized, ranging from metals (silver, gold, aluminium), semiconductors (crystalline silicon, germanium), to dielectrics (amorphous silicon, Si nitride, titania, silica). These materials are formed on various substrates as thin films using physical- and chemical-vapour deposition in which their properties are much dependent on growth parameters. For the nanostructure patterning, standard lift-off and plasma etching following electron beam lithography (EBL) are employed. In addition, non-conventional patterning techniques – dielectric lift-off and resist tone-reversal have been developed for high aspect ratio titania nano-pillars and tubes, which are difficult to fabricate in nominal method. The produced devices are demonstrated as colour filters, flat lens for visible and infrared, highly sensitive chemical sensors, just name a few. They are also apparatuses to validate new physics theory.



Prof Lee Jong-Min, Nanyang Technological University, Recovery of value added products from contaminated waste plastics (Session: SC I-01)


Electronic waste or e-waste associated with waste generated from the electronic equipments such as computer, mobile phones or any electrical or electronic devices, that are no longer in use. In recent years the surge of e-waste production rapidly increases due to the technological advancement and socioeconomic developments in developing nations. It was estimated that only 20% of global e-waste generated has been recycled and rest goes to the landfilling or incineration. The e-waste contains both valuable material (gold, platinum, silver, copper and plastics) and toxics such as heavy metals and brominated fire retardants. Emissions of toxics from e-waste recycle plants are causing serious health issues to the human and other living beings. The plastics/non-metallic fractions (~25%) can be converted into polymer feedstock, fuels or chemicals by thermochemical means after subsequent removal of toxics and harmful substances. The present investigation focusses on the development of a thermochemical process to recover toxic free plastics, polymer or the plastics derived fuel/chemicals in the most efficient manner. Solvent extraction process has been used to remove trace metals and BFRs and subsequently thermochemical processes, such as pyrolysis will be used to recover toxic free chemicals and fuels from the e-waste plastics. The optimized conditions of solvent extraction in terms of temperature, time and concentration is the goal of the current study. Maximum recovery of non-metallic fraction in terms of polymer or value added chemicals or fuels from e-waste plastics will increase the feasibility of recycling e-waste plastics economically.



Dr. Sang Joon Cho, Park Systems, SICM and SICM based SECM Applications for Live Cell Research (Session: SC II-02)


The high-resolution monitoring of live cell membranes in physiological conditions has been the homework for centuries for biologists. Visualization and Understanding of cell membrane activities could give precious insight upon how cells interact with outer environment. Scanning ion conductance microscopy (SICM) can provide the surface morphology of biological soft materials in liquid directly. The SICM uses ionic current as feedback signal by detecting it through the nano-size opening of glass pipette. The dedicated SICM operating mode called approach and retract scanning (ARS) makes SICM imaging stable in liquid environment. The in-liquid imaging capability without physical contact allows using SICM for various cell study topics in live status such as cell division, fusion, and other fundamental physiological phenomena. For optimal performance, accurate control of the tip position is a critical issue. We present a novel closed-loop control strategy for the ARS mode that achieves higher operating speeds with increased stability. In addition to the obtaining morphology using SICM, minor modification of system and nano pipette could provide valuable information on redox activity of individual cells. Convenient distance control capability and high resolution 3D surface mapping of SICM could enhance the accuracy of SECM measurement. The presenting examples are one of many new possible applications and new challenges in the growing multi-disciplinary study of cell biology.