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X-WR-CALNAME:Faculty of Science and Technology | University of Macau
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DTSTART:20180101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180604T160000
DTEND;TZID=Asia/Macau:20180604T170000
DTSTAMP:20260610T052957
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:20260610T052957
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:20260610T052957
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:20260610T052957
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:20260610T052957
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:20260610T052957
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:20260610T052957
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:20260610T052957
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
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