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X-ORIGINAL-URL:https://www.fst.um.edu.mo
X-WR-CALDESC:Events for Faculty of Science and Technology | University of Macau
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BEGIN:VTIMEZONE
TZID:Asia/Macau
BEGIN:STANDARD
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:CST
DTSTART:20180101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180425T150000
DTEND;TZID=Asia/Macau:20180425T160000
DTSTAMP:20260515T141749
CREATED:20180425T070015Z
LAST-MODIFIED:20220927T043702Z
UID:6125-1524668400-1524672000@www.fst.um.edu.mo
SUMMARY:The Application of Geographic Information System (GIS) in Smart City地理資訊系統在智慧城市的應用
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/the-application-of-geographic-information-system-gis-in-smart-city/
LOCATION:E11-G015
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180427T160000
DTEND;TZID=Asia/Macau:20180427T170000
DTSTAMP:20260515T141749
CREATED:20180427T080056Z
LAST-MODIFIED:20220927T043702Z
UID:6119-1524844800-1524848400@www.fst.um.edu.mo
SUMMARY:Computational Hemodynamics – From the Medical Imaging and Computational Simulation Perspectives
DESCRIPTION:Instructors/Speakers\nProf. Kelvin Kian Loong WONG\nWestern Sydney University\nUniversity of Adelaide \nAbstract\nCardiac diseases remain a major cause of ill health and death in our society despite advancement in current clinical therapies. Due to the aging population and epidemic situation of obesity\, the increase in incidence of heart diseases spurs forth the market for therapeutic systems that are computationally based and dedicated to the treatment of cardiovascular diseases. The shift in computing and flow visualisation technology for cardiac diagnosis is reported. As such\, there will be an increasing demand for Computational Hemodynamic analysis technique to facilitate the prognosis and diagnosis of a failing heart. Hemodynamics parameters have the potential utility for clinical study of cardiac patients. The framework can be used to diagnose pre- and post- surgical treatments. In particular\, fluid mechanically flow quantification can be adequately documented from simulated cardiovascular flow for diagnosis of the heart\, cardiac flow analysis and medical imaging provides an alternative approach to characterize cardiac abnormalities. Future research will look at combining numerical simulations and various medical imaging devices or therapies\, and building a more concise report on physiological abnormalities. Computational Hemodynamics (CHD) is the computer simulation of blood flow in the cardiovascular system. The motion of blood flow can be modelled by using Computational Fluid Dynamics (CFD) and interaction with blood vessel structure can be studied by combination with the use of Finite Element Method (FEM). This is becoming an emerging research field that may lead to a renaissance of computer modelling techniques for many biomedical engineering applications. The biomedical engineering industry comprises the health\, pharmaceutical\, and medical research fields\, whereby interest is increasing in the use of CHD modelling for cardiac flow analysis\, effectiveness of stents\, and discovery of new phenomena related to physiological flows. \nBiography\nKelvin Kian Loong Wong was born in Singapore in 1976. Dr Kelvin Wong has more than 10 years of medical imaging\, computational hemodynamics and simulation modelling experience. He obtained a BEng (Hons\, 2001) in Mechanical and Production Engineering from Nanyang Technological University\, a MAIT (2003) in Applied Information Technology from The University of Sydney\, followed by a PhD in Electrical and Electronic Engineering (2009) from The University of Adelaide. From 2006 to 2009\, he was doing research work on medical imaging and cardiac flow analysis. Since 2009 to now\, he was involved in computational fluid and solid dynamics. In 2013\, he began working on discrete element method with applications in nuclear reactor design\, first at Tsinghua University\, and later in biological systems at The University of Western Australia. Dr Wong was the originator of the spatial game moment concept\, in which multi-objective multi-constraint combinatorial optimisation problems can be treated as decision-making problems in the game theoretical sense\, and solved with high efficiency. In addition\, he is the first author of the book “Methods in Research and Development of Biomedical Devices”\, and a co-author of a second book “Computational Hemodynamics – Theory\, Modelling and Applications”. He has served as associate editors and as guest editors for journals in the area of biomedical engineering and science. Dr Kelvin Wong is currently a medical research lecturer at the School of Medicine\, Western Sydney University. He is also Adjunct Professor at University of Adelaide. His publications now span a diverse range of topics in the medical science and engineering field. Dr Wong’s research is supported by the Natural Science Foundation of China and many other grants. \n 
URL:https://www.fst.um.edu.mo/event/computational-hemodynamics-from-the-medical-imaging-and-computational-simulation-perspectives/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180504T160000
DTEND;TZID=Asia/Macau:20180504T170000
DTSTAMP:20260515T141749
CREATED:20180504T080010Z
LAST-MODIFIED:20220927T043702Z
UID:6115-1525449600-1525453200@www.fst.um.edu.mo
SUMMARY:People-Centered Big Data: opportunities and challenges in Asia
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/people-centered-big-data-opportunities-and-challenges-in-asia/
LOCATION:E11-4045
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180516T150000
DTEND;TZID=Asia/Macau:20180516T160000
DTSTAMP:20260515T141749
CREATED:20180516T070008Z
LAST-MODIFIED:20220927T043701Z
UID:6107-1526482800-1526486400@www.fst.um.edu.mo
SUMMARY:Data and Intelligent Software Architecture in Internet of Thing
DESCRIPTION:Instructors/Speakers\nProf. Zhiming LIU\nCentre for Research and Innovation in Software Engineering (RISE)\nSouthwest University\nChongqing\nChina \nAbstract\nCompared to the challenges in traditional ICT applications that engineers used to face\, software development for Internet of Things (IoT) and Cyber-Physical Systems (CPS) is to design and integrate new components or subsystems\, new applications and front end services that depends on the infrastructures of existing systems. This has to deal with the complexity of ever evolving architectures digital components\, physical components\, together with sensors and smart devices controlled and coordinated by software. The software architecture in IoT consists interacting components and subsystems for data processing and analytics\, computation\, intelligent control\, and resource monitoring and management. These subsystems are developed with different programming paradigms and deployed on different platforms. In this talk we discuss challenges in development software in IoT/CPS and argue for the need of a semantic theory for the combination of different traditional software modelling and programming paradigms\, including those for structured programming\, object-oriented programming\, service oriented programming\, aspect-oriented\, AI (or knowledge-based engineering) and the emerging Big Data technologies. We show how a generic theory of architectural modelling and refinement could play a core role in this foundation for seamless combination of different models\, methods and tools for software development\, AI and Big Data\, as well as for system integration. \nBiography\nProf. Zhiming Liu is known for his work on real-time and fault-tolerant program design\, verification\, and schedulability analysis by transformations that established a theory of real-time and fault-tolerant refinement; probabilistic duration calculus for system dependability specification and analysis\, and his work on the rCOS formal method of model-driven design. The key bibliographic database lists over 130 of his peer reviewed publications in recognized outlets. These include papers published in the top journals on formal methods\, ACM Transactions on Programming Languages\, Formal Aspects of Computing\, Science of Computer Programming and Theoretical Computer Science\, as well as mainstream conferences. He received a 2nd prize in natural science of Science and Technology Award from Macao SAR in 2012 for his work on the rCOS method. He joined Southwest University in Chongqing (China) as a Chair Professor in January 2016\, and he is now leading to build the Centre for Research and Innovation in Software Engineering. Zhiming Liu received his PhD in 1991 from the University of Warwick (UK)\, and then worked there for three more years as a postdoc research fellow till 1994. After that\, he worked during 1994-2005 at the University of Leicester as lecturer. Between 2002 and 2013\, he worked for the United National University – International Institute for Software Technology (UNU-IIST\, Macau) as a research fellow and then senior research fellow. Then he worked from 2013 to 2015 at Birmingham City University as Professor of Software Engineering before he returned back China to take his current position. Zhiming Liu is a member of CCF\, a Fellow of British Computer Society\, and a senior member of ACM. He also a founder of the international conferences ICTAC\, SEFM\, FACS and SETTA. \n 
URL:https://www.fst.um.edu.mo/event/data-and-intelligent-software-architecture-in-internet-of-thing/
LOCATION:E11-G015 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180604T160000
DTEND;TZID=Asia/Macau:20180604T170000
DTSTAMP:20260515T141749
CREATED:20180604T080045Z
LAST-MODIFIED:20220927T043701Z
UID:6102-1528128000-1528131600@www.fst.um.edu.mo
SUMMARY:Non-iterative Learning Methods
DESCRIPTION:Instructors/Speakers\nProf. Ponnuthurai Nagaratnam SUGANTHAN\nNanyang Technology Univeresity\nSingapore \nAbstract\nThis talk will first introduce the main non-iterative learning paradigms such as the randomization based feedforward neural networks (e.g. random vector functional link from 1994\, extreme learning machine from 2004)\, random forest\, and kernel ridge regression. Some of these non-iterative methods have closed form solutions enabling them to be trained extremely fast. The talk will highlight the similarities and differences among these methods developed over the last 25 years. The talk will also present benchmarking studies of these methods using classification and forecasting datasets. \nBiography\nProfessor Ponnuthurai Nagaratnam Suganthan (or P N Suganthan) received the B.A degree\, Postgraduate Certificate and M.A degree in Electrical and Information Engineering from the University of Cambridge\, UK in 1990\, 1992 and 1994\, respectively. After completing his PhD research in 1995\, he served as a pre-doctoral Research Assistant in the Dept of Electrical Engineering\, University of Sydney in 1995–96 and a lecturer in the Dept of Computer Science and Electrical Engineering\, University of Queensland in 1996–99. He moved to NTU in 1999. He is an Editorial Board Member of the Evolutionary Computation Journal\, MIT Press. He is an associate editor of the IEEE Trans on Cybernetics (2012 – )\, IEEE Trans on Evolutionary Computation (2005 -)\, Information Sciences (Elsevier) (2009 – )\, Pattern Recognition (Elsevier) (2001 – ) and Int. J. of Swarm Intelligence Research (2009 – ) Journals. He is a founding co-editor-in-chief of Swarm and Evolutionary Computation (2010 – )\, an SCI Indexed Elsevier Journal. His co-authored SaDE paper (published in April 2009) won the “IEEE Trans. on Evolutionary Computation outstanding paper award” in 2012. His former PhD student\, Dr Jane Jing Liang\, won the IEEE CIS Outstanding PhD dissertation award\, in 2014. His research interests include swarm and evolutionary algorithms\, pattern recognition\, big data\, deep learning and applications of swarm\, evolutionary & machine learning algorithms. He was selected as one of the highly cited researchers by Thomson Reuters in 2015\, 2016 \, and 2017 in computer science. He served as the General Chair of the IEEE SSCI 2013. He has been a member of the IEEE since 1990 and Fellow since 2015. He was an elected AdCom member of the IEEE Computational Intelligence Society (CIS) in 2014-2016. \n 
URL:https://www.fst.um.edu.mo/event/non-iterative-learning-methods/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180612T150000
DTEND;TZID=Asia/Macau:20180612T160000
DTSTAMP:20260515T141749
CREATED:20180612T070033Z
LAST-MODIFIED:20220927T043701Z
UID:6099-1528815600-1528819200@www.fst.um.edu.mo
SUMMARY:Anomaly Detection and Identification of Natural Data using Benford's Law
DESCRIPTION:Instructors/Speakers\nProf. Anthony T.S. HO\nUniversity of Surrey \nAbstract\nThis talk will present an overview of the theory and applications of Benford’s law for anomaly detection in natural data. Some examples will be highlighted including the detection of glare effect in images and classification of biometric images for privacy protection\, as well as security attacks related to network traffic data. Recent research based on this law has further shown that consistent anomaly patterns could be achieved for different network attacks\, leading to the potential identification/pattern recognition of various types of attacks. Moreover\, Benford’s law has also been successfully applied for the detection of Alzheimer’s Disease based on Electroencephalogram (EEG) data and this will be highlighted in the presentation. \nBiography\nProfessor Anthony T.S. Ho served as Head of Department of Computer Science\, University of Surrey from 2010 to 2015. He is also a Tianjin Distinguished Professor\, Guest Professors of Tianjin University of Science and Technology and of Wuhan University of Technology\, China. He was the recipient of the prestigious Institution of Engineering and Technology (IET) Innovation in Engineering Award under the Security category for his research and commercialization work on digital watermarking in 2006. Professor Ho obtained his BSc (Hons) in Physical Electronics from Northumbria University in 1979\, his MSc in Applied Optics from Imperial College London in 1980 and his PhD in Digital Image Processing from King’s College London\, University of London in 1983. After graduation\, he worked in technical management positions in industry for 11 years in the UK and Canada. From 1994 to 2005\, He was a Senior Lecturer and then Associate Professor at Nanyang Technological University (NTU)\, Singapore. He has published more than 150 articles in international journals and conference proceedings as well as 8 international patents granted related to watermarking and steganography. Professor Ho is Founding Editor-in-Chief of the International Journal of Information Security and Applications (JISA) and an Area Editor for Signal Processing: Image Communication\, both published by Elsevier. He was appointed as Associate Editor for IEEE Transactions on Information Forensics and Security (TIFS) for three years commencing January 2016\, He has also served as Associate Editor for IEEE Signal Processing Letters (SPL) (2014-2016)\, as well as an Associate Editor for EURASIP Journal of Image and Video Processing published by Springer. Professor Ho is a Fellow of Institution of Engineering and Technology (FIET)\, Fellow of Institute of Physics (FInstP) and Fellow of British Computer Society (FBCS). \n 
URL:https://www.fst.um.edu.mo/event/anomaly-detection-and-identification-of-natural-data-using-benfords-law/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180613T110000
DTEND;TZID=Asia/Macau:20180613T120000
DTSTAMP:20260515T141749
CREATED:20180613T030034Z
LAST-MODIFIED:20220927T043700Z
UID:6091-1528887600-1528891200@www.fst.um.edu.mo
SUMMARY:Nucleation\, growth\, and aggregation of environmentally-abundant nanoparticles: Mechanisms\, rates\, and applications
DESCRIPTION:Instructors/Speakers\nProf. Yandi HU\nAssistant Professor\nDepartment of Civil and Environmental Engineering\nUniversity of Houston\nTexas\nUSA \nAbstract\nIn natural and engineered systems\, nanoparticles can form in solution as homogeneous precipitation and on substrates (e.g.\, catalyst support\, rocks\, membranes\, equipment and facilities) as heterogeneous precipitation. Nanoparticle precipitation starts with nucleation with subsequent particle growth and/or aggregation. The homogeneous and heterogeneous nucleation\, growth and aggregation processes of nanoparticles affects the physicochemical properties of the nanoparticles (e.g.\, size\, composition\, structure\, and reactivity) and controls the fate and transport of aqueous contaminants. Also\, mineral scale formation affects the safety and efficiency of many subsurface operations (e.g.\, oil production\, geologic carbon sequestration\, managed aquifer recharge) and membrane water treatment processes. For example\, Fe(III) hydroxide nanoparticles\, which can sequestrate aqueous metal cations through structural incorporation\, surface adsorption\, and surface precipitation\, are an essential carrier for heavy metals in many natural and engineered aqueous environments. The heterogeneous nucleation and growth of BaSO4\, as a representative sparingly-soluble salt\, is a typical scale in oil reservoirs\, water treatment membranes\, and pipes. The formation and aggregation of lead phosphate controls the efficiency for lead-contaminated soil environments\, and the immobilization of particulate lead in pipe systems. The formation of calcium sulfate (e.g.\, gypsum) on membranes also affects the operation efficiency and life-time of membranes. \nDespite the importance\, the mechanisms and kinetics of nanoparticle nucleation\, growth\, and aggregation\, especially in the presence of substrates\, were not well understood due to the technical difficulty to probe the nanoscale interactions. Here using synchrotron-based grazing-incidence small angle X-ray scattering technique (GISAXS)\, homogeneous (in solution) and heterogeneous (on substrate) nucleation and growth of Fe hydroxide\, barium sulfate\, and lead phosphate were quantified for the first time. The interfacial interactions among aqueous ions\, substrate surfaces\, and nanoparticles were explored with quartz crystal microbalance dissipation (QCM-D) and dynamic light scattering (DLS)\, to understand the controlling mechanisms\, which were partly different for minerals that are covalently-bonded (e.g.\, Fe hydroxide)\, ionically-bonded (e.g.\, barium sulfate)\, and with mixed covalent and ionic bonding (e.g.\, lead phosphate). \nBiography\nProf. Yandi Hu obtained her Ph.D. in 2013 from Washington University in St. Louis\, and she is currently an assistant professor in the Department of Civil and Environmental Engineering at University of Houston. Utilization her expertise in geochemistry and nanochemistry\, her research has been focused on solving global clean water and energy shortages. Some specific interests include: surface and subsurface geochemical reactions related to safe and efficient operations of geologic CO2 sequestration\, radioactive waste immobilization\, and oil production; nucleation and growth of iron hydroxide nanoparticles and heavy metal immobilization\, lead phosphate nucleation and growth and lead immobilization in soil and lead pipes\, and controlling gypsum and hydroxyapatite formation for water and wastewater treatment. Research in her group has been supported by various funding agencies at U.S.\, including National Science Foundation (NSF)\, Department of Energy (DOE)\, and Texas Hazardous Waste Research Center (THWRC). Her group also received support from international funding agencies\, including Qatar National Research Fund (QNRF) and Ministry of Transport of the People’s Republic of China. Prof. Yandi Hu is also a recipient of the Teaching Excellence Award from Cullen College of Engineering at University of Houston. \n 
URL:https://www.fst.um.edu.mo/event/nucleation-growth-and-aggregation-of-environmentally-abundant-nanoparticles-mechanisms-rates-and-applications/
LOCATION:E11-1035 (University of Macau)
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180619T113000
DTEND;TZID=Asia/Macau:20180619T123000
DTSTAMP:20260515T141749
CREATED:20180619T033036Z
LAST-MODIFIED:20220927T043700Z
UID:6085-1529407800-1529411400@www.fst.um.edu.mo
SUMMARY:A Conceptual Framework of Autonomy and Its Relation to Automation
DESCRIPTION:Instructors/Speakers\nProf. David Kaber\nNorth Carolina State University (NCSU) \nAbstract\nRecent research in intelligent systems has discussed the characteristics of autonomous systems. This same work has evaluated automated systems in terms of the understanding of autonomy. This situation has led to confusion of automation technology and autonomous agents. In this talk\, I will differentiate the concepts of automation and autonomy with a new framework of agents. The framework is complemented by observations on characteristics of automated vs. autonomous systems\, identification of error and failure modes\, and formulation of a matrix of design constraints dictating possible applications of each type of agent. I will also discuss levels of system automation along with types of autonomy. A definition of autonomy will be mutated throughout the talk to a form with utility for engineering. The main findings of this research are that demands of automated agents on the human-task-environment system should be absent from design of autonomous agents and design of automated systems is always automation-centric despite best efforts at human-centered approaches. In addition\, the key requirements for design of autonomy include: agent viability in a target context\, agent self-governance in goal formulation and fulfilment of roles\, and independence in defined tasks performance. \nBiography\nDavid Kaber is a Distinguished Professor of Industrial and Systems Engineering at North Carolina State University (NCSU) and an associate faculty member in the Biomedical Engineering and Psychology Departments. He is the Chair-elect for the Department of Industrial and Systems Engineering at the University of Florida. At NC State\, Kaber has served as Director of Research for the Ergonomics Center of North Carolina and a NIOSH-sponsored Occupational Safety and Ergonomics education and research program. His current research interests include modeling and analysis of workload in unmanned systems operations\, human performance and behavior in autonomous vehicle use\, and design principles for automation transparency in human-in-the-loop systems. Kaber received his PhD from Texas Tech University in 1996. He is a fellow of the Institute of Industrial & Systems Engineers and fellow of the Human Factors & Ergonomics Society. He is a certified safety professional and certified human factors professional. \n 
URL:https://www.fst.um.edu.mo/event/a-conceptual-framework-of-autonomy-and-its-relation-to-automation/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180621T100000
DTEND;TZID=Asia/Macau:20180621T120000
DTSTAMP:20260515T141749
CREATED:20180621T020033Z
LAST-MODIFIED:20220927T043700Z
UID:6077-1529575200-1529582400@www.fst.um.edu.mo
SUMMARY:Alibaba Cloud @ University of Macau  阿里雲@澳門大學
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/alibaba-cloud-university-of-macau/
LOCATION:E11-G015
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180623T150000
DTEND;TZID=Asia/Macau:20180623T170000
DTSTAMP:20260515T141749
CREATED:20180623T070052Z
LAST-MODIFIED:20220927T043659Z
UID:6067-1529766000-1529773200@www.fst.um.edu.mo
SUMMARY:Face stability of shield tunnel and deformation control盾構隧道開挖面穩定與變形控制
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/face-stability-of-shield-tunnel-and-deformation-control-300p-m-on-23-june-2018-saturday/
LOCATION:E11-G015
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180625T110000
DTEND;TZID=Asia/Macau:20180625T120000
DTSTAMP:20260515T141749
CREATED:20180625T030001Z
LAST-MODIFIED:20220927T043659Z
UID:6058-1529924400-1529928000@www.fst.um.edu.mo
SUMMARY:Adaptive Boosting for Image Denoising: Beyond Low-Rank Representation and Sparse Coding
DESCRIPTION:Instructors/Speakers\nProf. Zixiang XIONG\nDepartment of Electrical and Computer Engineering\nTexas A&M University \nAbstract\nIn the past decade\, much progress has been made in image denoising due to the use of low-rank representation and sparse coding. In the meanwhile\, state-of-the-art algorithms also rely on an iteration step to boost the denoising performance. However\, the boosting step is fixed or non-adaptive. In this work\, we perform rank-1 based fixed-point analysis\, then\, guided by our analysis\, we develop the first adaptive boosting (AB) algorithm\, whose convergence is guaranteed. Preliminary results on the same image dataset show that AB uniformly outperforms existing denoising algorithms on every image and at each noise level\, with more gains at higher noise levels. \nBiography\nZixiang Xiong received his Ph.D. degree in electrical engineering from the University of Illinois at Urbana-Champaign in 1996. He is a professor in the ECE department of Texas A&M University. His main research interest lies in image/video processing\, networked multimedia\, and multi-user information theory. Dr. Xiong received an NSF Career Award in 1999\, an ARO Young Investigator Award in 2000\, and an ONR Young Investigator Award in 2001. He is co-recipient of the 2006 IEEE Signal Processing Magazine best paper award\, top 10% paper awards at the 2011 and 2015 IEEE Multimedia Signal Processing Workshops\, and an IBM best student paper award at the 2016 IEEE International Conference on Pattern Recognition. He was the Publications Chair of ICASSP 2007\, a Technical Program Committee Co-Chair of ITW 2007\, the Tutorial Chair of ISIT 2010\, the Awards Chair of Globecom 2014\, and a General Co-Chair of MMSP’17. He served as an Associate Editor for five IEEE Transactions. He is currently an associate editor for the IEEE Trans. on Multimedia. He has been a fellow of the IEEE since 2007. \n 
URL:https://www.fst.um.edu.mo/event/adaptive-boosting-for-image-denoising-beyond-low-rank-representation-and-sparse-coding/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180628T170000
DTEND;TZID=Asia/Macau:20180628T180000
DTSTAMP:20260515T141749
CREATED:20180628T090026Z
LAST-MODIFIED:20220927T043449Z
UID:6053-1530205200-1530208800@www.fst.um.edu.mo
SUMMARY:Multiphase Chemistry of Organic Aerosols in the Atmosphere
DESCRIPTION:Instructors/Speakers\nProf. Manabu SHIRAIWA\nAssistant Professor\nDepartment of Chemistry\nUniversity of California\nIrvine\, California\nUSA \nAbstract\nMultiphase chemical processes of oxidants and aerosol particles are of central importance in aerosol effects on outdoor and indoor air quality and public health. Kinetic multi-layer models for gas-particle interactions and multiphase chemistry have been developed that explicitly treat mass transport and chemical reaction of semi-volatile species partitioning between gas and condensed phases. These models have been applied to gas uptake and chemical aging of organic aerosols as well as formation and evolution of secondary organic aerosols. Secondary organic aerosols (SOA) are ubiquitous in the atmosphere. SOA can occur in amorphous solid or semi-solid phase states depending on chemical composition\, relative humidity (RH)\, and temperature. The phase state of SOA is important for their effects on climate and air quality\, but its global distribution is poorly characterized. Our analysis of SOA phase state builds on the molecular corridor approach\, which is a two-dimensional framework of volatility and molar mass of SOA components constrained by boundary lines of low and high molecular O:C ratio. We developed a method to estimate glass transition temperatures based on the molar mass and molecular O:C ratio of SOA components. We predict viscosity from the Tg-scaled Arrhenius plot of fragility as a function of the fragility parameter. Viscosity of toluene SOA was predicted using the elemental composition obtained by high-resolution mass spectrometry (HRMS)\, resulting in a good agreement with the measured viscosity. Further\, we used the global chemistry climate model EMAC with the organic aerosol module ORACLE to predict the phase state of atmospheric SOA. For the planetary boundary layer\, global simulations indicate that SOA are mostly liquid in tropical and polar air with high relative humidity\, semi-solid in the mid-latitudes\, and solid over dry lands. We find that in the middle and upper troposphere SOA should be mostly in a glassy solid phase state. Thus\, slow diffusion of water\, oxidants\, and organic molecules could kinetically limit gas-particle interactions of SOA in the free and upper troposphere\, promote ice nucleation and facilitate long-range transport of reactive and toxic organic pollutants embedded in SOA. \nBiography\nProf. Manabu Shiraiwa is Assistant Professor of Chemistry at the University of California\, Irvine. He has worked as group leader at the Max Planck Institute for Chemistry and as JSPS postdoc fellow at the California Institute of Technology. He received BS and MS at the University of Tokyo and PhD from the Max Planck Institute for Chemistry. He has published > 70 papers\, with a total citation of >3500 and an h-index of 30 in Web of Science. He is the awardee of the NSF CAREER Award of National Science Foundation (NSF)\, the Sheldon K. Friedlander Award of American Association for Aerosol Research (AAAR)\, the Paul-Crutzen Prize of German Chemical Society\, and the Otto-Hahn Medal of Max Planck Society. \n 
URL:https://www.fst.um.edu.mo/event/multiphase-chemistry-of-organic-aerosols-in-the-atmosphere/
LOCATION:E11-1041
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20180704
DTEND;VALUE=DATE:20180707
DTSTAMP:20260515T141749
CREATED:20180704T025352Z
LAST-MODIFIED:20220927T043449Z
UID:5895-1530662400-1530921599@www.fst.um.edu.mo
SUMMARY:Wireless Technology Study Summer Camp 2018無線技術研習夏令營 2018
DESCRIPTION:
URL:/academics/summer-camp/summer-camp-2018/wireless-technology-study-summer-camp-2018/#new_tab
CATEGORIES:activities,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20180716
DTEND;VALUE=DATE:20180720
DTSTAMP:20260515T141749
CREATED:20180716T025131Z
LAST-MODIFIED:20220927T043448Z
UID:5891-1531699200-1532044799@www.fst.um.edu.mo
SUMMARY:Summer Camp of Mathematics and Big Data 2018數學與大數據夏令營 2018
DESCRIPTION:
URL:/academics/summer-camp/summer-camp-2018/mathematics-and-big-data-summer-camp-2018/#new_tab
CATEGORIES:activities,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20180718
DTEND;VALUE=DATE:20180721
DTSTAMP:20260515T141749
CREATED:20180718T025004Z
LAST-MODIFIED:20220927T043448Z
UID:5888-1531872000-1532131199@www.fst.um.edu.mo
SUMMARY:Civil Engineering Summer Camp 2018土木工程夏令營 2018
DESCRIPTION:
URL:/academics/summer-camp/summer-camp-2018/civil-engineering-summer-camp-2018/#new_tab
CATEGORIES:activities,cee_events,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20180723
DTEND;VALUE=DATE:20180726
DTSTAMP:20260515T141749
CREATED:20180723T024352Z
LAST-MODIFIED:20220927T043448Z
UID:5884-1532304000-1532563199@www.fst.um.edu.mo
SUMMARY:APWeb-WAIM 2018
DESCRIPTION:
URL:http://conferences.cis.umac.mo/apwebwaim2018/#new_tab
CATEGORIES:conferences,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180723T150000
DTEND;TZID=Asia/Macau:20180723T160000
DTSTAMP:20260515T141749
CREATED:20180723T070025Z
LAST-MODIFIED:20220927T043447Z
UID:6048-1532358000-1532361600@www.fst.um.edu.mo
SUMMARY:Viscosity of erythritol-water particles as a function of water activity: an inter-comparison of techniques for particle viscosity measurements
DESCRIPTION:Instructors/Speakers\nDr. Yangxi CHU\nPostdoctoral Fellow\nSchool of Energy and Environment\nCity University of Hong Kong\nHong Kong\, China \nAbstract\nViscosity of secondary organic aerosol (SOA) particles is important because it influences the phase state\, hygroscopic growth and heterogeneous chemistry of SOA particles but remains poorly characterized. To investigate the effect of hydroxyl functional group on SOA viscosity\, in this work\, the viscosity of erythritol (i.e.\, 1\,2\,3\,4-butanetetrol) – water particles was measured as a function of water activity using the bead-mobility\, aerosol optical tweezer and rectangular fluorescence recovery after photobleaching (rFRAP) techniques. The viscosity of pure erythritol was determined by extrapolating the experimental data to zero water activity. By combining with literature data\, the increase in viscosity from the addition of one hydroxyl functional group to a linear C4 backbone was estimated. Furthermore\, experimental results show that multiple viscosity measurement techniques give viscosities in reasonable agreement if the experimental uncertainties are considered. \nBiography\nDr. Yangxi Chu is currently a postdoctoral fellow at School of Energy and Environment\, City University of Hong Kong. He received his PhD at The Hong Kong University of Science and Technology (HKUST) in 2017 and BEng at University of Science and Technology of China (USTC) in 2013. \n 
URL:https://www.fst.um.edu.mo/event/viscosity-of-erythritol-water-particles-as-a-function-of-water-activity-an-inter-comparison-of-techniques-for-particle-viscosity-measurements/
LOCATION:E11-1035
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20180725
DTEND;VALUE=DATE:20180728
DTSTAMP:20260515T141749
CREATED:20180725T024214Z
LAST-MODIFIED:20220927T043447Z
UID:5882-1532476800-1532735999@www.fst.um.edu.mo
SUMMARY:Transportation Technology Summer Camp 2018運輸技術夏令營 2018
DESCRIPTION:
URL:/academics/summer-camp/summer-camp-2018/transportation-technology-summer-camp-2018/#new_tab
CATEGORIES:activities,eme_events,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20180726
DTEND;VALUE=DATE:20180728
DTSTAMP:20260515T141749
CREATED:20180726T021853Z
LAST-MODIFIED:20220927T043447Z
UID:5877-1532563200-1532735999@www.fst.um.edu.mo
SUMMARY:Computer Vision and Artificial Intelligence Summer Camp 20182018計算機視覺與人工智能夏令營
DESCRIPTION:
URL:/academics/summer-camp/summer-camp-2018/computer-vision-and-artificial-intelligence-summer-camp-2018/#new_tab
CATEGORIES:activities,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20180726
DTEND;VALUE=DATE:20180728
DTSTAMP:20260515T141749
CREATED:20180726T023157Z
LAST-MODIFIED:20220927T043446Z
UID:5880-1532563200-1532735999@www.fst.um.edu.mo
SUMMARY:3D Reconstruction with Quadcopters Summer Camp 20182018四軸飛行器三維重建夏令營
DESCRIPTION:
URL:/academics/summer-camp/summer-camp-2018/3d-reconstruction-with-quadcopters-summer-camp-2018/#new_tab
CATEGORIES:activities,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20180726
DTEND;VALUE=DATE:20180728
DTSTAMP:20260515T141749
CREATED:20180726T102107Z
LAST-MODIFIED:20220927T043446Z
UID:5847-1532563200-1532735999@www.fst.um.edu.mo
SUMMARY:Robotics and Artificial Intelligence Summer Camp 2018機器人與人工智能夏令營 2018
DESCRIPTION:
URL:/academics/summer-camp/summer-camp-2018/robotics-and-artificial-intelligence-summer-camp-2018/#new_tab
CATEGORIES:activities,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180726T103000
DTEND;TZID=Asia/Macau:20180726T113000
DTSTAMP:20260515T141749
CREATED:20180726T023024Z
LAST-MODIFIED:20220927T043446Z
UID:6044-1532601000-1532604600@www.fst.um.edu.mo
SUMMARY:Pursuits on improved exponentially fitted adaptations for the numerical solution of singular reaction-diffusion equations
DESCRIPTION:Instructors/Speakers\nProf. Qin SHENG\nProfessor\nDepartment of Mathematics and Center for Astrophysics\, Space Physics\, and Engineering Research (CASPER)\nBaylor University\nTexas\nU.S.A. \nAbstract\nMany finite difference methods that involve spatial adaptation employ an equidistribution principle. In these cases\, a new mesh is constructed such that a given monitor function is equidistributed in some sense. Typical choices of the monitor function involve the solution or one of its many derivatives. This constructive strategy has been proven to be extremely effective and easy-to-use in multiphysical computations. However\, selections of core monitoring functions are often challenging and crucial to the computational success. This talk concerns several different designs of the monitoring function that targets a highly nonlinear partial differential equation that exhibits both quenching-type and degeneracy singularities. While the first a few monitoring designs to be discussed are within the so-called direct regime\, the rest belong to a newer category of the indirect type\, which requires the priori knowledge of certain important solution features or characteristics. Simulated examples will be presented to illustrate our study and conclusions. Further research initiatives with Macau colleagues will be discussed. \nBiography\nProf. Sheng joined the Baylor faculty in August 2005. Prior to coming to Baylor he held a research position in University of London (1989-1990)\, a visiting professor position in Baylor University (2003) and faculty positions in National University of Singapore (1990-1995)\, University of Louisiana (1996-2001) and University of Dayton (2001-2005). He was a recipient of the J. T. Knight Prize in Mathematics (1987) and Lundgren Research Award (1989). Dr. Sheng was an invited research participant of the Isaac Newton Institute for Mathematical Sciences\, Cambridge\, England (2007). He was a U.S. Air Force SFFP Research Fellow (2005-2007). Dr. Sheng directed two doctoral dissertations\, 8 Master of Science theses and a number of undergraduate research theses. He is married to Helen. They have sons Andy and Dan. He enjoys reading\, painting\, traveling and spending time with the family. \nProf. Sheng’s research is in computational mathematics. In particular\, he is interested in splitting and adaptive methods for solving singular partial differential equations. He has been involved in cross-disciplinary projects in scientific and engineering computations. Prof. Sheng has been active in his research fields and community. He is on editorial boards of several scholarly journals and special research issues. His projects have been supported by the United States Air Force Research Laboratory and Department of Defense. \n 
URL:https://www.fst.um.edu.mo/event/pursuits-on-improved-exponentially-fitted-adaptations-for-the-numerical-solution-of-singular-reaction-diffusion-equations/
LOCATION:E11-2027
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180727T143000
DTEND;TZID=Asia/Macau:20180727T153000
DTSTAMP:20260515T141749
CREATED:20180727T063040Z
LAST-MODIFIED:20220927T043445Z
UID:6040-1532701800-1532705400@www.fst.um.edu.mo
SUMMARY:Gibbs partitions\, Mittag Leffler functions and waiting time models
DESCRIPTION:Instructors/Speakers\nProf. Lancelot F. JAMES\nDirector of PhD and MPhil programs\, School of Business and Management\nProfessor of Information Systems\, Business Statistics\, and Operations Management (ISOM)\, HKUST Business School\nThe Hong Kong University of Science and Technology (HKUST) \nAbstract\nt is known random partitions of the integers may be obtained by a process of discovery of excursion intervals of generalized notions of Bessel processes\, with the most prominent example being Brownian motion or Brownian bridge. This leads to the two parameter Chinese restaurant process\, which has a variety of applications. Generalizations of this scheme lead to the general class of Gibbs partitions. We examine Gibbs partitions from different perspective and describe classes of random partitions that can be expressed in terms of waiting time distributions. \nBiography\nProf. Lancelot F. JAMES received his PhD degree at SUNY\, Buffalo. He has published nearly 40 papers on the journals such as Annals of Statistics\, Annals of Applied Probability\, Journal of American Statistical Associations\, Journal of Business and Economics Statistics\, Bernoulli and so on. \n 
URL:https://www.fst.um.edu.mo/event/gibbs-partitions-mittag-leffler-functions-and-waiting-time-models/
LOCATION:E11-1015
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180803T110000
DTEND;TZID=Asia/Macau:20180803T120000
DTSTAMP:20260515T141749
CREATED:20180803T030032Z
LAST-MODIFIED:20220927T043445Z
UID:6034-1533294000-1533297600@www.fst.um.edu.mo
SUMMARY:Recrystallization Mechanisms for Heavy Metal Stabilization during the Thermal Treatment of the Metal-Laden Wastes
DESCRIPTION:Instructors/Speakers\nProf. Yuanyuan TANG\nAssistant Professor\nSchool of Environmental Science and Engineering\nSouthern University of Science and Technology\nShenzhen\nChina \nAbstract\nMetal-laden wastes comprise a wide range of solid wastes including the sludge generated from industrial wastewater treatment processes\, the dredged river sediment due to heavy metal contamination\, the waste adsorbent after metal adsorption\, as well as the tailings after mining activities. The wastes above always contain high levels of hazardous metals\, such as nickel\, copper\, zinc\, which may lead to metal bioaccumulation and cause adverse effects for ecosystem. Besides the existence of heavy metals\, ceramic raw materials such as aluminium\, iron and silicon have also been reported as major constituents in the above waste matrices. Therefore\, converting the metal-laden wastes to ceramic products via well-controlled thermal treatment can remove the hazardous metals from the waste stream and enable them to become reusable. The leachability of hazardous metals can be reduced because of the change of mineral phase after thermal treatment. Therefore\, we have conducted a series of research on the mechanisms of metal stabilization through ceramic sintering processes. The recrystallization and transportation of the heavy metals were intensively quantified by a combination of the qualitative and quantitative X-ray diffraction (XRD) with the Rietveld refinement. The following achievements can be reached: Firstly\, hazardous metals can be well stabilized in the ceramic matrix. Secondly\, environmental concerns caused by solid waste accumulation from the increasing amounts of metal-laden wastes will be largely alleviated. Thirdly\, a “waste-to-resource” strategy can be proposed through the fabrication of marketable ceramic products by beneficial reuse of the solid wastes. \nBiography\nProf. Yuanyuan Tang is an assistant professor in Southern University of Science and Technology\, Shenzhen\, China. She got her Ph.D degree from the University of Hong Kong. Her research interests focus on the transformation and stabilization mechanisms of heavy metals\, “waste-to-resource” options for biowastes\, and the development of ceramic membrane from municipal solid waste. She has published over 30 SCI papers (including Environmental Science & Technology\, Water Research\, etc.)\, and authored 3 chapters. She has also obtained funding for over 14 research projects\, including NSFC\, Peacock Plan Team\, etc. She has been invited as speaker\, session chair and scientific committee member by many international conferences\, and published over 40 conference papers. She was named an Overseas High-Caliber Personnel\, Shenzhen\, and received many awards\, including HKIE Outstanding Paper Award for Young Engineers/ Researchers in 2014\, annual teaching awards\, and excellent college mentor in 2016. \n 
URL:https://www.fst.um.edu.mo/event/recrystallization-mechanisms-for-heavy-metal-stabilization-during-the-thermal-treatment-of-the-metal-laden-wastes/
LOCATION:E11-1035
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180806T093000
DTEND;TZID=Asia/Macau:20180806T110000
DTSTAMP:20260515T141749
CREATED:20180806T013001Z
LAST-MODIFIED:20220927T043445Z
UID:6028-1533547800-1533553200@www.fst.um.edu.mo
SUMMARY:Environmental and Energy Geomechanics: Challenges and Opportunities
DESCRIPTION:Instructors/Speakers\nProf. Marcelo SANCHEZ\nProfessor\nDepartment of Civil Engineering\nTexas A&M University\, Texas\nU.S. \nAbstract\nThe involvement of geotechnical/geomechanical engineers in problems comprising unprecedented Thermo-Hydro-Mechanical and Chemical (THMC) conditions is every time more frequent\, particularly in geo-environmental and geo-energy applications. The prediction of geo-engineering system behavior under coupled THMC conditions represents huge challenges for our profession\, but also extraordinary opportunities to gain a better understanding of soils and rocks behavior under such complex extremes. The realization of this requires both\, advanced experimental and numerical investigations. In this lecture\, recent improvements in our understanding of geomaterials behavior subjected to simultaneous THMC perturbations will be discussed\, as well as\, the incorporation of the main features associated with the THMC behavior of soils and rocks in constitutive and numerical models. Some of the topics to be briefly discussed in this seminar include: behavior of swelling clays and pelletized mixtures typically used in the design of engineered barriers and seals\, behavior of hydrate bearing sediments\, fault reactivation triggered by gas injection\, behavior of frozen soils\, geo-thermal structures\, compressed air storage system (CAES) design\, formation and propagation of desiccation cracks in soils and rocks. \nBiography\nProf. Marcelo Sanchez is a Professor in the Zachry Department of Civil Engineering TAMU. He obtained his first degree in Civil Engineering from the Universidad Nacional de San Juan (Argentina). His Master and Ph.D. (2004) degrees are from the Universidad Politecnica de Catalunya (UPC\, Barcelona\, Spain). His expertise lies in the area of advanced geomechanics\, considering problems involving thermal\, hydraulic\, mechanical and geo-chemical couplings. His research interests also cover the study of the behavior of unsaturated soils and expansive clays. The main areas of applications are: ‘Energy Geotechnics’; ‘Geo-environmental Engineering’ and ‘Transportation Geotechnics’. He has published more than 100 peer review papers. He is acting as an Associated Editor for five international journals. Among other awards\, in 2012 he received\, along with his co-authors\, the “George Stephenson Medal” from the Institution of Civil Engineers in the United Kingdom. He is the founder and current Chairman of the ISSMGE (Int. Society for Soil Mechanics and Geotechnical Eng.) Technical Committee TC308 on “Energy Geotechnics”. \n 
URL:https://www.fst.um.edu.mo/event/environmental-and-energy-geomechanics-challenges-and-opportunities/
LOCATION:E11-1042
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180823T103000
DTEND;TZID=Asia/Macau:20180823T113000
DTSTAMP:20260515T141749
CREATED:20180823T023059Z
LAST-MODIFIED:20220927T043444Z
UID:6017-1535020200-1535023800@www.fst.um.edu.mo
SUMMARY:Development and Applications of Novel Sensors for Geotechnical Monitoring
DESCRIPTION:Instructors/Speakers\nProf. Chengyu HONG\nAssociate Professor\nDepartment of Civil Engineering\nShanghai University\nShanghai\nChina \nAbstract\nNew technologies can be used for the fabrication of new sensors for health monitoring of different civil engineering infrastructures. In this study\, fused deposition modelling (FDM) technology was used for the fabrication of various new sensors for geotechnical monitoring based on flex sensing technology and FBG sensors. These new sensors include Bluetooth based wireless sensing system for laboratory wireless monitoring\, and GPRS based wireless sensing system for in-situ remote sensing\, FBG based tilt sensor and displacement sensor fabricated using FDM process. All these new sensors are characterized by the advantages of low cost\, quick fabrication\, large measurement range\, capabilities for wireless and remote sensing\, small size\, light weight\, and high resolution. Calibration tests indicate that the flex based tilt sensor was characterized by a measurement range of -60° to 60° and a minimum resolution of 0.2°. The measurement range and minimum resolution of the new FBG based tilt sensors were -60° to 60° and 0.01°\, respectively. The FBG based displacement sensor with a gauge length of 90 mm was proposed and the approached minimum displacement resolution was 0.01 mm. A number of laboratory monitoring tests were conducted to exam the performance of different sensors in laboratory. Loading tests were conducted on two model slopes and an embankment model equipped with different tilt sensors and displacement transducers. Measurement data show that the new sensors fully reflect the movement behavior of the geotechnical models and their measured data agree fairly well with simulation data and monitored data from conventional sensors. \nBiography\nProf. Chengyu Hong (洪成雨) worked as an Associate Professor in Department of Civil Engineering\, Shanghai University. He received a PhD degree from The Hong Kong Polytechnic University. Prof. Hong as the first and corresponding author has published 15 SCI journal papers and he is a regular reviewer for more than 25 international SCI journals. His current research interests include application of new technologies (include FBG\, Brillouin Optical Time Domain Analysis\, Low-Coherence Interferometry\, wireless flex sensors and 3D printing technology) for geotechnical monitoring. \n 
URL:https://www.fst.um.edu.mo/event/development-and-applications-of-novel-sensors-for-geotechnical-monitoring/
LOCATION:E11-1042
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180826T141500
DTEND;TZID=Asia/Macau:20180826T170000
DTSTAMP:20260515T141749
CREATED:20180826T061515Z
LAST-MODIFIED:20220927T043444Z
UID:6010-1535292900-1535302800@www.fst.um.edu.mo
SUMMARY:Smart Grid Technology for Smart City Seminar
DESCRIPTION:Abstract\nWith the support of the Macao SAR government and the Macau Science and Technology Development Fund\, the University of Macau has received the approval for establishing the State Key Laboratory of Internet of Things for Smart City. This event aims to explore new frontiers and challenges within the smart city and smart grid research area. Researchers from renowned universities and research institutes of Mainland China are invited to present the state-of-the-art research in related area. \nBiography\nProf. Man Chung WONG\, received Ph.D. degree from Tsinghua University.  He is now the department head of Electrical and Computer Engineering\, Faculty of Science and Technology\, University of Macau.  He is also the Chairman of Executive Board of IEEE Power Joint Chapter. Prof. WONG has published more than 140 papers\, four book chapters and 11 patents in U.S. and China. He received Third prize at Macao Science and Technology Awards in 2012 and 2014. \nMr. Evan LIU\, received the MSc. degree from Tsinghua University. He is now the Senior Manager of Power and Networks Dispatch Department\, Companhia de Electricidade de Macau – CEM\, S.A. Currently\, he is Chairman of IEEE Macau Section and Chairman of Executive Board of IEEE Macau. \nProf. Zechun HU\, received the B.S. degree and Ph.D. degree from Xi’an Jiao Tong University\, Shaanxi\, China\, in 2000 and 2006\, respectively. He worked in Shanghai Jiao Tong University after graduation and also worked in University of Bath as a research officer from 2009 to 2010. He joined the Department of Electrical Engineering at Tsinghua University in 2010 where he is now an associate professor. He has published more than 120 papers and two book chapters. His major research interests include vehicle to grid techniques\, applications of energy storage in power systems\, optimal planning & operation of power systems\, and power markets. \nProf. Jin LIN\, obtained his Ph. D and Bachelor degree from Department of Electrical Engineering\, Tsinghua University in 2012 and 2007 respectively. He was a Post Ph. D research fellow from 2012 to 2014 in the same department. He was honored as Excellent Doctoral Dissertation Award and Distinguished Post Ph. D by Tsinghua in 2014. IEEE Member\, CSEE Member. He was a visiting researcher in Rise Sustainable Energy Laboratory\, Denmark and National Renewable Energy Laboratory\, US from 2009 to 2011. He has been granted by National Scientific Foundation Council and 863 program of Ministry of Science and Technology. Currently his main research interests are on renewable energy integration and control\, distributed energy integration and control\, power system control and optimization. \nProf. Yi DING\, received the B.Eng. degree from Shanghai Jiaotong University\, China\, and the Ph.D. degree from Nanyang Technological University (NTU)\, Singapore\, both in electrical engineering. He is a professor in the College of Electrical Engineering\, Zhejiang University (ZJU)\, China. Before he joined in ZJU\, he was an associate professor in the Department of Electrical Engineering\, Technical University of Denmark (DTU)\, Denmark. He also held research and teaching positions in University of Alberta\, Canada and NTU. He was a consultant as Energy Economist for Asian Development Bank in 2010. He is editorial member of international journals of Electric Power System Research and Journal of Modern Power Systems and Clean Energy. He is also a guest editor for the special section of IEEE Trans. on Power Systems. Dr. Ding is member of IEC working groups for micro-grid standards. His research areas include power system planning and reliability evaluation\, smart grid and complex system risk assessment. \nProf. Can WAN\, received his B.Eng. degree in Automation from Zhejiang University in 2008\, and Ph.D. degree in Electrical Engineering from the Hong Kong Polytechnic University in 2015. From 2015 to 2017\, he was a Postdoctoral Research Fellow at Tsinghua University. In 2017\, he joined the College of Electrical Engineering\, Zhejiang University as a tenure-track Professor under the university Hundred Talents Program.\nHe held research or visiting positions at the Hong Kong Polytechnic University\, City University of Hong Kong\, Technical University of Denmark\, and Argonne National Laboratory\, Lemont\, IL\, USA. His research work focuses on the energy forecasting technology\, multi-energy systems\, renewable energy\, and active distribution networks. He has published over 40 papers in top-notch international journals and conferences (over 20 IEEE PES Trans. papers)\, including 19 first-author/corresponding-author SCI journal papers (15 IEEE PES Trans. papers). His research works have been widely cited by renowned scholars (including more than 20 Fellows of US National Academy of Engineering\, IEEE Fellows\, etc.). His 3 first-author papers published on IEEE Trans. Power Systems have been selected as ESI Highly Cited Papers.\nProf. Wan won the first-class award in Natural Science of Higher Education Outstanding Scientific Research Output Awards from the Ministry of Education (MoE) in 2017. He was among the first batch of Hong Kong PhD Fellowship awardees. \nProf. Junyong LIU\, Professor\, Doctoral Tutor\, President of SEEI Male\, born in January 1963 Education Background: Ph.D from Brunel University\, UK Research Interests: intelligent grid\, power market\, power system analysis and control\, flexible AC transmission systems\, applied computer science Projects undertaken: National Natural Science Foundation sponsored projects\, MOE Backbone Teachers Foundation sponsored projects\, projects supported by “973” National Key Basic Research Plan\, research projects of domestic power companies in Beijing\, Sichuan\, Guizhou\, Guangdong and Shanghai\, and international power company in Myanmar Publications: more than 180 papers in professional journals and conferences. Research Interest: Intelligent grid\, power market\, power system analysis and control\, flexible AC transmission systems\, applied computer science. \nProf. Jichun LIU \, Professor in College of Electrical Engineering and Information Technology of Sichuan University. Research interest is power system analysis\, scheduling and economic operation\, power market\, etc. Prof. LIU has published over 80 journals. \n 
URL:https://www.fst.um.edu.mo/event/smart-grid-technology-for-smart-city-seminar/
LOCATION:N1-G008
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180828T150000
DTEND;TZID=Asia/Macau:20180828T160000
DTSTAMP:20260515T141749
CREATED:20180828T070052Z
LAST-MODIFIED:20220927T043443Z
UID:6005-1535468400-1535472000@www.fst.um.edu.mo
SUMMARY:Polymer-based Nanocomposite for Scale-up Water Remediation
DESCRIPTION:Instructors/Speakers\nProf. Bingcai PAN\nDeputy Dean and Professor\nSchool of Environment\nNanjing University\nNanjing\nChina \nAbstract\nNanomaterials exhibit promising performance in water decontamination via adsorption\, catalytic degradation\, and other processes. However\, the ultrafine particle size also brings issues including excessive pressure drop in flow-through systems and environmental risk arising from nanoparticle release. To overcome the bottleneck of most nanomaterials in full-scale manipulation\, a series of millimetre-sized nanocomposites have been developed via in situ formation of nanoparticles (e.g. metal oxides/hydroxides/phosphates) confined in the pore channels of ion exchanger hosts. Such nanocomposites are suitable for application in fixed-bed reactors owing to their tunable size (0.6-1.0 mm) and excellent hydrodynamic properties. The confinement effect induced by the network pore structure of the cross-linked hosts tend to maintain the nanoscale nature of the embedded nanoparticles. Furthermore\, the non-diffusible charges fixated on the host skeleton enhance the permeation of ionic pollutants inside the pore channels. Thus\, the polymer-supported nanocomposites have demonstrated favorable adsorption of ionic pollutants such as Pd(II)\, Cd(II)\, Cu(II)\, As(V)\, F-\, P(V)\, and have been successfully applied in full-scale advanced water treatments. Recently\, novel millimeter-sized nanocomposites of inorganic skeleton (e.g. Ce-Ti-Zr ternary oxide) have been developed for catalytic oxidation processes\, and have showed satisfactory performance in mineralization of recalcitrant pollutants such as oxalic acid. \nBiography\nProf. Pan obtained his PhD degree from Nanjing University (Environmental Engineering) in 2003. He is currently deputy dean for School of Environment\, deputy director for State Key Laboratory of Pollution Control and Resource Reuse\, deputy director for National Engineering Center of Organic Pollution Control and Resource Reuse\, and chair for Department of Environmental Engineering. He has been awarded Distinguished Changjiang Scholar\, 2015 National Technological Invention Award (2nd Prize)\, 2014 Technological Invention Award By Ministry of Education (1st Prize)\, 2013 Chinese Universities Tech-Invention Award (1st Prize)\, 2012 Young Scientist Award of Jiangsu Province\, China\, 2010 Prosper.net-Scopus Young Researcher Award\, 2008 Asian Young Researcher Award (Conferred by Conference of Asian University Presidents). He is currently serving as Associate Editor\, Chemical Engineering Journal (Elsevier); Editor\, Environmental Science and Pollution Research (Springer); Editor\, Frontiers of Environmental Science and Engineering (Springer); and Associate Editor-in Chief\, Journal of Zhejiang University Science-A (Springer). \nHe has published many papers on high impact factored journals including Chemical Engineering Journal\, Chemosphere\, Water Research\, Environmental Science and Technology\, Scientific Reports\, Journal of Hazardous Materials\, Bioresource Technology\, Science of the Total Environment\, and Separation and Purification Technology. \n 
URL:https://www.fst.um.edu.mo/event/polymer-based-nanocomposite-for-scale-up-water-remediation/
LOCATION:E11-1009
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180828T160000
DTEND;TZID=Asia/Macau:20180828T170000
DTSTAMP:20260515T141749
CREATED:20180828T080049Z
LAST-MODIFIED:20220927T043443Z
UID:6002-1535472000-1535475600@www.fst.um.edu.mo
SUMMARY:Development of Polymeric Lanthanum Nanocomposite for Phosphorus Removal and Recovery：Fundamentals and Application
DESCRIPTION:Instructors/Speakers\nDr. Yanyang ZHANG\nAssistant Researcher\nSchool of the Environment\nNanjing University\nNanjing\nChina \nAbstract\nIn recent years\, polymer supported nano-sized metal oxides (Fe or Zr based) has attracted great attention for their sound performance in advanced phosphorus removal and recovery. In our study\, a new nanocomposite adsorbent La-201 of extremely high capacity and specific affinity towards phosphate was developed\, where hydrated La(III) oxides (HLO) nanoclusters were immobilized inside the networking pores of the polystyrene anion exchanger D-201. Column adsorption runs by using La-201 could effectively treat ~6500 bed volumes (BV) of a synthetic feeding solution before breakthrough occurred (from 2.5 mg P/L in influent to <0.5 mg P/L in effluent)\, approximately 11 times magnitude higher than HFO-201. The exhausted La-201 could be regenerated for repeated use without any significant capacity loss. Based on STEM-EDS\, XPS\, XRD\, and SSNMR analysis\, and the formation of LaPO4·xH2O during P uptake by La is verified to be the dominant pathway\, this transformation is reversible after regeneration. However\, it was difficult for bulk La(OH)3/HLO nanoparticles to transform to LaPO4·xH2O during P adsorption\, only a small portion of LaPO4·xH2O was observed after 25 days reaction. It was expected that the crystal transformation of HLO to LaPO4·xH2O is both time and space dependent. Our nanocomposites La-201 was employed for scaled-up and pilot stage test\, it could reduce TP (0.025-0.075 mg/L) from phosphorus contaminated water samples to <0.01 mg/L. We believe that La-201 is a promising tool to solve phosphorus problem from various water sources. \nBiography\nDr. Zhang obtained his PhD degree from Nanjing University (Environmental Engineering) in 2016. His research interest includes Phosphorus removal and recovery from waste streams; Empirical modeling and mechanistic modeling for water treatment system; and Novel adsorbents for water and wastewater treatment. He has authored papers published NanoImpact\, Environmental Science and Technology\, Chemosphere\, Chemical Engineering Journal\, Journal of Hazardous Materials\, Water Research\, and ACS Applied Material & Interface. \n 
URL:https://www.fst.um.edu.mo/event/development-of-polymeric-lanthanum-nanocomposite-for-phosphorus-removal-and-recovery%ef%bc%9afundamentals-and-application/
LOCATION:E11-1009
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180910T110000
DTEND;TZID=Asia/Macau:20180910T120000
DTSTAMP:20260515T141749
CREATED:20180910T030037Z
LAST-MODIFIED:20220927T043443Z
UID:5998-1536577200-1536580800@www.fst.um.edu.mo
SUMMARY:Topic Classification using RNN: A Combined Approach towards Topic Discovery
DESCRIPTION:Instructors/Speakers\nProf. Yungcheol BYUN\nJeju National University\nJeju\, Korea \nAbstract\nDr. Yungcheol Byun is a full professor at the Computer Engineering Department (CE) at Jeju National University (http://www.jejunu.ac.kr). His research interests include the areas of Pattern Recognition & Image Processing\, Artificial Intelligence & Machine Learning\, Pattern-based Security\, Home Network and Ubiquitous Computing\, u-Healthcare\, and RFID & IoT Middleware System. He directs the Machine Laboratory at the CE department. Recently\, he studied at University of Florida as a visiting professor from 2012 to 2014. He is currently serving as a director of Information Science Technology Institute\, and other academic societies. Outside of his research activities\, Dr. Byun has been hosting international conferences including CNSI (Computer\, Network\, Systems\, and Industrial Engineering)\, ICESI (Electric Vehicle\, Smart Grid\, and Information Technology)\, and serving as a conference and workshop chair\, program chair\, and session chair in various kinds of international conferences and workshops. Dr. Byun was born in Jeju\, Korea\, and received his Ph.D. and MS from Yonsei University (http://www.yonsei.ac.kr) in 1995 and 2001 respectively\, and BS from Jeju National University in 1993. Before joining Jeju National University\, he worked as a special lecturer in SAMSUNG Electronics (http://www.samsung.com) in 2000 and 2001. From 2001 to 2003\, he was a senior researcher of Electronics and Telecommunications Research Institute (ETRI\, https://etri.re.kr/eng/main/main.etri). He was promoted to join Jeju National University as an assistant professor in 2003. \nBiography\nIn natural language processing (NLP)\, language model is doubtlessly an intrinsic element\, as it plays a fundamental role in many conventional NLP tasks\, e.g.\, speech recognition to image captioning etc. Therefore\, learning an exceptional language model usually enhance the hidden aspects or metrics; forging its pivotal role in NLP. Language models are gaining popularity as of the abundance of online texts\, comments and reviews. Due to the advancement of e-commerce\, people do write their reviews about the products they have received. In crowdfunding sites\, comments are so critical that negative reviews can damage the reputation of the product’s creator or can affect the buying of others. Life is too fast these days that people find it difficult to go through abundant of text data to take a decision. Therefore\, topic discovery is quite valuable in various aspects as of saving time of the user\, providing the summary of text in form of discussion topics\, and providing contextual information etc. Topic models are being studied for decades and are of fundamental importance as these models act as a tool in order to infer the latent topics and extracting semantic structure of a document. In this speech\, we have used the Latent Topic Model (LDA) in order to generate topics for crowdfunding comments. Our proposed model is recurrent neural network (RNN) based language model\, which uses the latent topics generated by LDA\, is constructed to extract the comprehensive semantic meaning related words in comments. Moreover\, this combined approach is of better capability on creating topic clusters then traditional ones\, which signifies that blending the information from deep learning and topic modeling is a substantial way to generate an improved understanding of crowdfunding comments. \n 
URL:https://www.fst.um.edu.mo/event/topic-classification-using-rnn-a-combined-approach-towards-topic-discovery/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
END:VCALENDAR