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CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://www.fst.um.edu.mo
X-WR-CALDESC:Events for Faculty of Science and Technology | University of Macau
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
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BEGIN:VTIMEZONE
TZID:Asia/Macau
BEGIN:STANDARD
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:CST
DTSTART:20180101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20180704
DTEND;VALUE=DATE:20180707
DTSTAMP:20260610T072029
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:20260610T072029
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:20260610T072029
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:20260610T072029
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:20260610T072029
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:20260610T072029
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:20260610T072029
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:20260610T072029
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:20260610T072029
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:20260610T072029
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:20260610T072029
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:20260610T072029
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:20260610T072029
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:20260610T072029
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:20260610T072029
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:20260610T072029
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:20260610T072029
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:20260610T072029
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
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20180929T150000
DTEND;TZID=Asia/Macau:20180929T160000
DTSTAMP:20260610T072029
CREATED:20180929T070047Z
LAST-MODIFIED:20220927T043442Z
UID:5996-1538233200-1538236800@www.fst.um.edu.mo
SUMMARY:Penalized Nonparametric Likelihood-based Inference for Current Status Data Model
DESCRIPTION:Instructors/Speakers\nProf. Xingqiu ZHAOAssociate ProfessorDepartment of Applied MathematicsThe Hong Kong Polytechnic UniversityHong Kong \nAbstract\nIn this paper\, we develop a penalized nonparametric likelihood method to estimate an unknown cumulative hazard function with current status data. Deriving the limiting distribution of such nonparametric estimator is a very challenging theoretical problem. For the problem\, we construct the Sobolev space equipped with a special inner product and deduce a functional Bahadur representation in the space. Using this key tool\, we establish the pointwise asymptotic normality of the proposed estimator. \nFurthermore\, we study the penalized likelihood ratio tests for local and global ypotheses and obtain their limiting distributions\, and also show the optimality of the test. A simulation study is presented for comparing the performance of the proposed penalized likelihood ratio test and the classical likelihood ratio test. \nBiography\nProf. Xingqiu Zhao received her PhD at McMaster University and is currently an associate professor at Hong Kong Polytech. Her main research interests are panel count data\, Longitudinal data analysis and large deviation with applications in survival analysis. She has published more than 50 papers on international journals such as Annals of Statistics\, JASA\, Bernoulli and so on. \n 
URL:https://www.fst.um.edu.mo/event/penalized-nonparametric-likelihood-based-inference-for-current-status-data-model/
LOCATION:E11-1036
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20181003T103000
DTEND;TZID=Asia/Macau:20181003T113000
DTSTAMP:20260610T072029
CREATED:20181003T023033Z
LAST-MODIFIED:20220927T043404Z
UID:5990-1538562600-1538566200@www.fst.um.edu.mo
SUMMARY:Sign-based methods for solving complementarity problems
DESCRIPTION:Instructors/Speakers\nProf. Hua ZHENG\nAssociate Professor\nSchool of Mathematics and Statistics\nShaoguan University\nChina \nAbstract\nIn this talk\, using the sign patterns of the solution of the equivalent modulus equation\, the resolution of some complementarity problems shrinks to find the zero of a differentiable function. \nThen\, some sign-based methods can be established. Numerical examples show the effectiveness of the new methods. \nBiography\nProf. Zheng is currently an associate professor in the Shaoguan University\, China. He got his Ph.D. from the South China Normal University in 2015. His recent research mainly focuses on the study of different kinds of complementarity problems with particular interest on algorithms for solving these problems. \n 
URL:https://www.fst.um.edu.mo/event/sign-based-methods-for-solving-complementarity-problems/
LOCATION:E11-2027
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20181018T150000
DTEND;TZID=Asia/Macau:20181018T160000
DTSTAMP:20260610T072029
CREATED:20181018T070012Z
LAST-MODIFIED:20220927T043404Z
UID:5985-1539874800-1539878400@www.fst.um.edu.mo
SUMMARY:軟土工程及複合地基理論的新發展
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/%e8%bb%9f%e5%9c%9f%e5%b7%a5%e7%a8%8b%e5%8f%8a%e8%a4%87%e5%90%88%e5%9c%b0%e5%9f%ba%e7%90%86%e8%ab%96%e7%9a%84%e6%96%b0%e7%99%bc%e5%b1%95/
LOCATION:E11-3033
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20181114T110000
DTEND;TZID=Asia/Macau:20181114T120000
DTSTAMP:20260610T072029
CREATED:20181114T030054Z
LAST-MODIFIED:20220927T043403Z
UID:5983-1542193200-1542196800@www.fst.um.edu.mo
SUMMARY:A Peridynamic View of Classical Continuum Mechanics
DESCRIPTION:Instructors/Speakers\nProf. Xiaowei HE\nInstitute of Software\nChinese Academy of Sciences\nChina \nAbstract\nPeridynamics is a formulation of the classical elastic theory that was originally targeted at simulating deformable objects with discontinuities\, especially fractures. In this talk\, I will introduce how to reformulate classical continuum mechanics with the peridynamic theory. To get an intuitive model that can be easily controlled\, we formulate the strain energy density function as a function parameterized by the dilatation and bond stretches\, which can be decomposed into multiple one-dimensional functions independently. To account for nonlinear material behaviors\, we also propose a set of nonlinear basis functions to help design a nonlinear strain energy function more easily. For an anisotropic material\, we additionally introduce an anisotropic kernel to control the elastic behavior for each bond independently. Experiments show that our model is flexible enough to approximately regenerate various hyperelastic materials in classical elastic theory\, including St.Venant-Kirchhoff and Neo-Hookean materials. \nBiography\nProf. Xiaowei He is currently an associate professor at the Institute of Software\, Chinese Academy of Sciences. He received both his BS and MS degrees from Peking University\, and his Ph.D. from Institute of Software\, Chinese Academy of Sciences. His research interests are mainly focused on computer graphics\, computational physics\, smoothed particle hydrodynamics\, peridynamics and nolocal theory. In recent years\, he has published several papers in international journals/conferences including SIGGRAPH\, TVCG\, SCA\, etc. Among them\, he proposed an efficient phase-field-based fluid solver to simulate arbitrarily complex multi-phase flows\, which was adopted by Adobe to realize a real-time three-dimensional oil painting system. Recently\, he has been doing research on how to apply machine learning to help improve both the performance and accuracy over traditional numerical solvers. He received two grants as PI from the Natural Science Foundation of China (NSFC) in 2014 and 2018\, respectively. \n 
URL:https://www.fst.um.edu.mo/event/a-peridynamic-view-of-classical-continuum-mechanics/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20181115T110000
DTEND;TZID=Asia/Macau:20181115T120000
DTSTAMP:20260610T072029
CREATED:20181115T030046Z
LAST-MODIFIED:20220927T043403Z
UID:5981-1542279600-1542283200@www.fst.um.edu.mo
SUMMARY:Dendritic Neuron Model-Based Learning Algorithms and Applications
DESCRIPTION:Instructors/Speakers\nProf. Mengchu ZHOU\nThe Helen and John C. Hartmann Department of Electrical and Computer Engineering\nNew Jersey Institute of Technology\nNewark\, NJ 07102\, USA \nAbstract\nAn artificial neural network (ANN) that mimics the information processing mechanisms and procedures of neurons in human brains has achieved great success in many fields\, e.g.\, classification\, prediction and control. However\, traditional ANNs suffer from many problems\, such as the hard understanding problem\, the slow and difficult training problem and the difficulty to scale them up. These drawbacks motivate us to develop a new dendritic neuron model (DNM) by considering the nonlinearity of synapses\, not only for a better understanding of a biological neuronal system\, but also for providing a more useful method for solving practical problems. To achieve its better performance for solving problems\, six learning algorithms including biogeography-based optimization\, particle swarm optimization\, genetic algorithm\, ant colony optimization\, evolutionary strategy and population-based incremental learning are for the first time used to train it. The best combination of its user-defined parameters has been systemically investigated by using the Taguchi’s experimental design method. The experiments on fourteen different problems involving classification\, approximation and prediction are conducted by using a multi-layer perceptron and the proposed DNM. The results suggest that the proposed learning algorithms are effective and promising for training DNM and thus make DNM more powerful in solving classification\, approximation and prediction problems. \nBiography\nMengChu Zhou received his B.S. degree in Control Engineering from Nanjing University of Science and Technology\, Nanjing\, China in 1983\, M.S. degree in Automatic Control from Beijing Institute of Technology\, Beijing\, China in 1986\, and Ph. D. degree in Computer and Systems Engineering from Rensselaer Polytechnic Institute\, Troy\, NY in 1990. He joined New Jersey Institute of Technology (NJIT)\, Newark\, NJ in 1990\, and is now a Distinguished Professor of Electrical and Computer Engineering. His research interests are in Petri nets\, intelligent automation\, Internet of Things\, big data\, web services\, and intelligent transportation. He has over 800 publications including 12 books\, 460+ journal papers (360+ in IEEE transactions)\, 12 patents and 28 book-chapters. He is the founding Editor of IEEE Press Book Series on Systems Science and Engineering and Editor-in-Chief of IEEE/CAA Journal of Automatica Sinica. He is a recipient of Humboldt Research Award for US Senior Scientists from Alexander von Humboldt Foundation\, Franklin V. Taylor Memorial Award and the Norbert Wiener Award from IEEE Systems\, Man and Cybernetics Society. He is a life member of Chinese Association for Science and Technology-USA and served as its President in 1999. He is VP for Conferences and Meetings\, IEEE Systems\, Man and Cybernetics Society. He is a Fellow of The Institute of Electrical and Electronics Engineers (IEEE)\, International Federation of Automatic Control (IFAC)\, American Association for the Advancement of Science (AAAS) and Chinese Association of Automation (CAA). \n 
URL:https://www.fst.um.edu.mo/event/dendritic-neuron-model-based-learning-algorithms-and-applications/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20181120T150000
DTEND;TZID=Asia/Macau:20181120T160000
DTSTAMP:20260610T072029
CREATED:20181120T070001Z
LAST-MODIFIED:20220927T043403Z
UID:5979-1542726000-1542729600@www.fst.um.edu.mo
SUMMARY:Formal design of embedded real-time systems
DESCRIPTION:Instructors/Speakers\nProf. Naijun ZHAN\nState Key Lab of Computer Science\nInstitute of Software\nChinese Academy of Sciences\nBeijing \nAbstract\nRecently we propose an approach to designing embedded real-time systems formally. Using our approach\, one can first build a graphical model of a system to be developed with Simulink/Stateflow (S/S)\, and then conduct extensive simulation. In order to verify the graphical model formally\, we translate S/S diagrams into HCSP automatically. HCSP is a formal modeling language for hybrid systems\, an extension of CSP by introducing differential equations to model continuous evolution and several kinds of interrupts to model the interaction between continuous evolution and discrete jumps. Using Hybrid Hoare Logic and its theorem prover\, the translated HCSP model can be verified. For justifying the correctness of the translation\, we give an inverse translation from HCSP to Simulink\, so that the consistency can be checked by co-simulation. By providing a set of refinement rules\, an HCSP process can be generated into a piece of SystemC code\, approximate bisimilar to the original HCSP process. All work can be supported by a developed tool MARS. Several real-world case studies have been investigated to check the feasibility of the approach. \nBiography\nProf. Naijun Zhan is a distinguished research professor of State Key Lab. of Computer Science\, Institute of Software\, the Chinese Academy of Sciences. He got his bachelor degree and master degree both from Nanjing University\, and his PhD from Institute of Software Chinese Academy of Sciences. Prior to join Institute of Software\, Chinese Academy of Sciences\, he worked at the Faculty of Mathematics and Informatics\, Mannheim University\, Germany as a research fellow. He is the winner of Outstanding Youth Fund of Natural Science Foundation of China of 2016. His research interests cover formal design of real-time\, embedded and hybrid systems\, program verification\, concurrent computation models\, modal and temporal logics\, and so on. Now\, he serves the editorial boards of Formal Aspects of Computing\, Journal of Logical and Algebraic Methods in Programming\, Journal of Software\, Journal of Computer Research and Development. \n 
URL:https://www.fst.um.edu.mo/event/formal-design-of-embedded-real-time-systems/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20181121T100000
DTEND;TZID=Asia/Macau:20181121T110000
DTSTAMP:20260610T072029
CREATED:20181121T020037Z
LAST-MODIFIED:20220927T043402Z
UID:5977-1542794400-1542798000@www.fst.um.edu.mo
SUMMARY:Principal metabolic flux mode analysis
DESCRIPTION:Instructors/Speakers\nDr. Sahely BHADRA\nComputer Science and Engineering\nIndian Institute of Technology (IIT)\nPalakkad \nAbstract\nMotivation:\nIn the analysis of metabolism\, two distinct and complementary approaches are frequently used: Principal component analysis (PCA) and stoichiometric flux analysis. PCA is able to capture the main modes of variability in a set of experiments and does not make many prior assumptions about the data\, but does not inherently take into account the flux mode structure of metabolism. Stoichiometric flux analysis methods\, such as Flux Balance Analysis (FBA) and Elementary Mode Analysis\, on the other hand\, are able to capture the metabolic flux modes\, however\, they are primarily designed for the analysis of single samples at a time\, and not best suited for exploratory analysis on a large sets of samples. \nResults:\nWe propose a new methodology for the analysis of metabolism\, called Principal Metabolic Flux Mode Analysis (PMFA)\, which marries the PCA and stoichiometric flux analysis approaches in an elegant regularized optimization framework. In short\, the method incorporates a variance maximization objective form PCA coupled with a stoichiometric regularizer\, which penalizes projections that are far from any flux modes of the network. For interpretability\, we also introduce a sparse variant of PMFA that favours flux modes that contain a small number of reactions. Our experiments demonstrate the versatility and capabilities of our methodology. The proposed method can be applied to genome-scale metabolic network in efficient way as PMFA does not enumerate elementary modes. In addition\, the method is more robust on out-of-steady steady-state experimental data than competing flux mode analysis approaches. \nBiography\nDr. Sahely Bhadra is assistant Professor in Indian Institute of Technology\, Palakkad since July\, 2017. She has received her PhD from Computer Science and Automation department of Indian Institute of Science in 2012. Before joining IIT Palakkad she did postdoctoral research in Max Planck Institute for Informatics (2012-2014) \, Helsinki Institute for Information Technology (2014-2016) and Northeastern University (2017). Her research interest is Machine Learning and Optimization for multi view \, structured and  noisy data. She is interested in learning models to solve problem in biology. \n 
URL:https://www.fst.um.edu.mo/event/principal-metabolic-flux-mode-analysis/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20181124T085000
DTEND;TZID=Asia/Macau:20181124T123000
DTSTAMP:20260610T072029
CREATED:20181124T101352Z
LAST-MODIFIED:20220927T043402Z
UID:5843-1543049400-1543062600@www.fst.um.edu.mo
SUMMARY:Symposium on Basic Soil Properties and Engineering Applications
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/symposium-on-basic-soil-properties-and-engineering-applications/
LOCATION:E11-G015\, Taipa\, Macau
CATEGORIES:cee_events,conferences,event_list
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20181126T091500
DTEND;TZID=Asia/Macau:20181126T091500
DTSTAMP:20260610T072029
CREATED:20181126T011503Z
LAST-MODIFIED:20220927T043402Z
UID:5972-1543223700-1543223700@www.fst.um.edu.mo
SUMMARY:Sustainable Technology for Smart City Seminar
DESCRIPTION:
URL:https://www.fst.um.edu.mo/event/sustainable-technology-for-smart-city-seminar/
CATEGORIES:cee_events,event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20181127T110000
DTEND;TZID=Asia/Macau:20181127T120000
DTSTAMP:20260610T072029
CREATED:20181127T030029Z
LAST-MODIFIED:20220927T043401Z
UID:5968-1543316400-1543320000@www.fst.um.edu.mo
SUMMARY:Sensing and Analytics for Human Machine Systems
DESCRIPTION:Instructors/Speakers\nProf. Honghai LIU\nUniversity of Portsmouth\nUK \nAbstract\nIt requires innovative technologies and theoretical foundation of sensing and analytics as increasing complexity of modern systems with humans involved actively. The state of the art in human machine interface is largely dominant by solutions that are ad-hoc and application dependent. This talk attempts to summarize challenges for sensing and analytics from the perspective of human-machine systems\, and presents a computational framework aiming at anchoring behaviors to hardcoded features. Two projects will be introduced to showcase the framework: human hand skill transfer and interaction with children with autism spectrum disorders. The talk will conclude with comments on open issues and challenges in human-machine systems. \nBiography\nHonghai Liu received his Ph.D from King’s College\, University London\, UK. He is a Chair in Human Machine Systems at the University of Portsmouth\, UK. He previously held research appointments at the Universities of London\, University of Aberdeen\, and project leader appointments in large-scale industrial control and system integration industry. He is interested in intelligent sensing\, biomechatronics\, pattern recognition\, intelligent video analytics\, intelligent robotics and their practical applications with an emphasis on approaches that could make contribution to the intelligent connection of perception to action using contextual information. His research has been funded by UK research councils\, EU FP7\, the Leverhulme Trust\, the Royal Society and industry partners. He has authored/co-authored more than 200 per-reviewed journals and conference papers. He is an IET Fellow and JSPS Fellow. \nHonghai is an energetic contributor to our research community. He was the chair for IEEE Systems\, Man and Cybernetics Society’s Technical Committees\, also a Member of the IEEE Society’s Board of Governors\, leading the research theme on human machine systems. He is a Co-Editor-in-Chief for the Springer Journal of Intelligent Robotics and Applications and Associate Editor for IEEE Transactions on Human Machine Systems\, IEEE Transactions on Industrial Electronics and IEEE Transactions on Industrial Informatics. \n 
URL:https://www.fst.um.edu.mo/event/sensing-and-analytics-for-human-machine-systems/
LOCATION:E11-4045 (University of Macau)
CATEGORIES:event_list,seminarslectures
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Macau:20181128T173000
DTEND;TZID=Asia/Macau:20181128T183000
DTSTAMP:20260610T072029
CREATED:20181128T042938Z
LAST-MODIFIED:20181128T042938Z
UID:6531-1543426200-1543429800@www.fst.um.edu.mo
SUMMARY:Energy Transformation and Smart Grid
DESCRIPTION:Instructors/Speakers\nProf. Xiaoli HUANG\nDeputy Chief Engineer of the Electric Power Planning and Engineering Institute (National Electric Power Planning and Research Center)\nDirector of the Smart Grid Department\, and Professor-level Chartered Engineer \nAbstract\nEnergy is essential for human activities and is one of the main driving forces for the development of the world economy. Every major advancement in human civilization is accompanied by reforms in energy. Nowadays\, the development of energy industry faces new challenges. The large-scale consumption of fossil resources has brought serious threats to global climate environment. Environmental pollution problems caused by improper development and use of energy are becoming more and more severe. The increasing energy consumption makes the contradiction between energy shortage and social development more prominent. There is an urgent need for energy transformation and development. Smart grids play an important role in energy transformation. The smart grid has been widely recognized worldwide since it was proposed. After more than ten years of practice\, the concept\, characteristics\, value and application of smart grid have been continuously enriched and developed. In general\, the smart grid enhances the flexibility of the power network. It improves the interaction between the elements of the network\, and therefore improves the flexibility and adaptability of the overall system\, meeting the needs of future energy development. Smart grid is the key to energy structure adjustments and to the future energy system. \nBiography\nProf. Xiaoli HUANG\, Deputy Chief Engineer of the Electric Power Planning and Engineering Institute (National Electric Power Planning and Research Center)\, Director of the Smart Grid Department\, and Professor-level Chartered Engineer. She has long been engaged in power system planning\, design\, power engineering consulting works. She was the deputy director of the Power Planning and Design Standards Committee and a member of the National Smart Grid Promotion Working Group. She presided over the national “13th Five-Year” power planning topic “Smart Power Grid Planning Research”\, the National Energy Administration’s major research topic “New Model of Energy Development\, New Business and Internet + Smart Energy Development Pathway”\, US Energy Foundation “Adaptation Research on new power planning methods for renewable energy development”\, World Bank “Research on distribution network technical specifications and trading mechanisms for high-proportion distributed renewable energy access”\, and other research projects\, hosted in 2022 Beijing Winter Olympics “Low Carbon Olympic Green Energy Planning”\, “Zhangjiakou Green Energy System Planning”\, “Distribution Network Planning and Design Regulations”\, “Southern Power Grid Smart Grid Planning Research” and “Inner Mongolia Grid’s 13th Five-Year Information Planning”. She is a co-editor of the book “Energy Transformation and Smart Grid”. \n 
URL:https://www.fst.um.edu.mo/event/energy-transformation-and-smart-grid/
LOCATION:E11-G015
CATEGORIES:ece_events
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20181203
DTEND;VALUE=DATE:20181204
DTSTAMP:20260610T072029
CREATED:20181203T100409Z
LAST-MODIFIED:20220927T043401Z
UID:5839-1543795200-1543881599@www.fst.um.edu.mo
SUMMARY:Conference on “The Establishment of a Resilient City: Infrastructure\, Urban Planning and Law”韌性城市的建立：基建、城市與法律學術研討會
DESCRIPTION:
URL:/wp-content/uploads/2020/05/conf20181203_01.pdf#new_tab
CATEGORIES:cee_events,conferences,event_list
END:VEVENT
END:VCALENDAR