Do you want to know how to create future cities in science fiction movies? Do you want to get involved in the campaign of making the world a better place? This is the course you have to learn before changing the world.
Like any smart system, a Smart City is one in which sensor-driven data collection and powerful analytics are used to automate and orchestrate a wide range of services in the interests of better performance, lower costs and lessened environmental impact. To help you grasping the necessary basis, we provide two key sessions:
Intelligent Internet of Things & Intelligent Service Robots
Intelligent Transportation & Smart Mobility.
16 Prestigious experts will share the basic knowledge, the industry trends, and the cutting-edge research in the areas of computer vision, distributed machine learning, robotics, 6G wireless communication, smart infrastructure design for future mobility, smart urban logistics, and smart traffic management. Each speaker promises to wow the audience with their latest thought-provoking insights.
Course Time: July 14 - July 27, 2024
DOWNLOAD SYLLABUS updated as of 18 January 2024
Instructors
Dr.HowardH.YangisanAssistantProfessorandPhDsupervisorattheZJU-UIUCInstitute,ZJU.HeearnedthePh.D.degreeinElectronicEngineeringfromSingaporeUniversityofTechnologyandDesign(SUTD).Hisresearchinterestscovervariousaspectsofwirelesscommunications,networking,andsignalprocessing,currentlyfocusingonthemodelingofmodernwirelessnetworks,highdimensionalstatistics,graphsignalprocessing,andmachinelearning.
Dr. Howard H. Yang is an Assistant Professor and PhD supervisor at the ZJU-UIUC Institute, ZJU. He earned the Ph.D. degree in Electronic Engineering from Singapore University of Technology and Design (SUTD). His research interests cover various aspects of wireless communications, networking, and signal processing, currently focusing on the modeling of modern wireless networks, high dimensional statistics, graph signal processing, and machine learning.
Instructors
Dr.GaoangWangisanAssistantProfessorandPhDsupervisorattheZJU-UIUCInstitute,ZJU.HeisalsoanadjunctassistantprofessoratUIUC.HereceivedaPh.D.degreefromtheUniversityofWashington.Hisresearchinterestsarecomputervision,machinelearning,imageandvideoprocessing,includingmulti-objecttracking,poseestimation,deepneuralnetworks,activelearning,etc.
Dr. Gaoang Wang is an Assistant Professor and PhD supervisor at the ZJU-UIUC Institute, ZJU. He is also an adjunct assistant professor at UIUC. He received a Ph.D. degree from the University of Washington. His research interests are computer vision, machine learning, image and video processing, including multi-object tracking, pose estimation, deep neural networks, active learning, etc.
Instructors
Dr.SimonHuisanAssistantProfessorandPhDsupervisorattheZJU-UIUCInstitute,ZJU.HeearnedhisPhDinTransportSystemEngineeringfromImperialCollegeLondon.HisresearchinterestsincludingTransportationandEnvironment,VehicleEmissionMeasurementandModelling,ConnectedandAutonomousVehicles,TransportationPlanningandManagement,SustainableUrbanTransportationSystemsetc.
Dr. Simon Hu is an Assistant Professor and PhD supervisor at the ZJU-UIUC Institute, ZJU. He earned his PhD in Transport System Engineering from Imperial College London. His research interests including Transportation and Environment, Vehicle Emission Measurement and Modelling, Connected and Autonomous Vehicles, Transportation Planning and Management, Sustainable Urban Transportation Systems etc.
Instructors
Dr.LiangjingYangisanAssistantProfessorandPhDsupervisorattheZJU-UIUCInstitute,ZJU.HereceivedtheD.Eng.degreefromtheUniversityofTokyo(UTokyo).BeforejoiningZJUI,hewaswiththeSUTD,andMITunderajointpostdoctoralfellowshipaward.HisresearchinterestsareinRoboticsandComputerVisionprimarilyfocusingonbiomedicalapplications.
Dr. Liangjing Yang is an Assistant Professor and PhD supervisor at the ZJU-UIUC Institute, ZJU. He received the D.Eng. degree from the University of Tokyo (UTokyo). Before joining ZJUI, he was with the SUTD, and MIT under a joint postdoctoral fellowship award. His research interests are in Robotics and Computer Vision primarily focusing on biomedical applications.
Instructors
Dr. Xiqun (Michael) Chen is Tenured Professor of Zhejiang University, Vice Dean of ZJU-UIUC Institute, Director of Institute of Intelligent Transportation Systems, Deputy Director of Zhejiang Provincial Engineering Research Center for Intelligent Transportation, and Deputy Director of Zhejiang University & Alibaba Digital Transportation Innovation and Application Center. His research interests include shared mobility on demand, simulation-based optimization, transportation big data analytics, a
Dr. Xiqun (Michael) Chen is Tenured Professor of Zhejiang University, Vice Dean of ZJU-UIUC Institute, Director of Institute of Intelligent Transportation Systems, Deputy Director of Zhejiang Provincial Engineering Research Center for Intelligent Transportation, and Deputy Director of Zhejiang University & Alibaba Digital Transportation Innovation and Application Center. His research interests include shared mobility on demand, simulation-based optimization, transportation big data analytics, and intelligent transportation systems.
Instructors
Dr.HongweiWangisaTenuredProfessorofZJUandViceDeanofZJU-UIUCInstitute.Dr.WangreceivedhisPhDdegreefromtheCambridgeUniversity.Hismainresearchinterestsareintheapplicationofinformationandcomputingtechnologiestothedesign,analysis,manufactureandmaintenanceofcomplexengineeringsystems.
Dr. Hongwei Wang is a Tenured Professor of ZJU and Vice Dean of ZJU-UIUC Institute. Dr. Wang received his PhD degree from the Cambridge University. His main research interests are in the application of information and computing technologies to the design, analysis, manufacture and maintenance of complex engineering systems.
Instructors
Dr.HaoMaisaProfessorofZJUandisservedasViceDeanofZJU-UIUCInstitute.HereceivedthePh.D.degreesfromZhejiangUniversityinElectricalEngineering.Dr.MaisservedasVicePresidentofChinaPowerSupplySociety,VicePresidentandSecretary-generalofPowerSupplySocietyofZhejiangProvince.HisresearchinterestsincludeAdvancedControlinPowerElectronics,WirelessPowerTransfer,FaultDiagnosisofPowerElectronicCircuitsandSystems,andApplicationofPowerElectronics.
Dr. Hao Ma is a Professor of ZJU and is served as Vice Dean of ZJU-UIUC Institute. He received the Ph.D. degrees from Zhejiang University in Electrical Engineering. Dr. Ma is served as Vice President of China Power Supply Society, Vice President and Secretary-general of Power Supply Society of Zhejiang Province. His research interests include Advanced Control in Power Electronics, Wireless Power Transfer, Fault Diagnosis of Power Electronic Circuits and Systems, and Application of Power Electronics.
Instructors
Dr.Der-HorngLeeisaQiuShiChairProfessorofZJU,DeanofZJU-UIUCInstitute,andaFellowofAcademyofEngineeringSingapore.HereceivedhisPhDdegreefromtheUniversityofIllinoisatChicago(UIC).Herankedastop1%intheareaofLogisticsandTransportationin“World’sTop2%Scientists2020”publishedbyStanfordUniversity.HisresearchinterestsincludingIntelligentTransportationSystems(ITS),TransportationPlanning,TransportationPolicy,MetroSystemsModeling,ContainerPortOperations,TrafficSimulation,PublicTransportationSystems,AIandDataAna
Dr. Der-Horng Lee is a QiuShi Chair Professor of ZJU, Dean of ZJU-UIUC Institute, and a Fellow of Academy of Engineering Singapore. He received his PhD degree from the University of Illinois at Chicago (UIC). He ranked as top 1% in the area of Logistics and Transportation in “World’s Top 2% Scientists 2020” published by Stanford University. His research interests including Intelligent Transportation Systems (ITS), Transportation Planning, Transportation Policy, Metro Systems Modeling, Container Port Operations, Traffic Simulation, Public Transportation Systems, AI and Data Analytics in Urban Mobility Research, etc.
Instructors
Dr.XiaoxiangNaiscurrentlyaSeniorResearchAssociatewiththeCentreforSustainableRoadFreight(SRF)atCambridgeUniversityEngineeringDepartment.HereceivedhisPhDfromCambridgeUniversity.Hisresearchfocusesondevelopingoftoolsandmethodsformeasuring,modelling,analysingandunderstandingenergyconsumptionandCO2emissionsofheavygoodsvehicles.
Dr. Xiaoxiang Na is currently a Senior Research Associate with the Centre for Sustainable Road Freight (SRF) at Cambridge University Engineering Department. He received his PhD from Cambridge University. His research focuses on developing of tools and methods for measuring, modelling, analysing and understanding energy consumption and CO2 emissions of heavy goods vehicles.
Instructors
Dr.TonyQ.S.QuekisafellowofIEEEandtheChengTsangManChairProfessorwithSingaporeUniversityofTechnologyandDesign(SUTD).HereceivedhisPh.D.degreeinelectricalengineeringandcomputersciencefromtheMassachusettsInstituteofTechnologyin2008.Hiscurrentresearchtopicsincludewirelesscommunicationsandnetworking,networkintelligence,internet-of-things,URLLC,andbigdataprocessing.
Dr. Tony Q.S. Quek is a fellow of IEEE and the Cheng Tsang Man Chair Professor with Singapore University of Technology and Design (SUTD). He received his Ph.D. degree in electrical engineering and computer science from the Massachusetts Institute of Technology in 2008. His current research topics include wireless communications and networking, network intelligence, internet-of-things, URLLC, and big data processing.
Instructors
Dr.Jenq-NengHwangisafellowofIEEEandtheInternationalProgramsLeadintheECEDepartmentoftheUniversityofWashingtoninSeattle.HereceivedhisPh.D.degreefromtheUniversityofSouthernCalifornia.Hehaswrittenmorethan400journal,conferencepapersandbookchaptersintheareasofmachinelearning,multimediasignalprocessing,computervision,andmultimediasystemintegrationandnetworking.
Dr. Jenq-Neng Hwang is a fellow of IEEE and the International Programs Lead in the ECE Department of the University of Washington in Seattle. He received his Ph.D. degree from the University of Southern California. He has written more than 400 journal, conference papers and book chapters in the areas of machine learning, multimedia signal processing, computer vision, and multimedia system integration and networking.
Instructors
Dr.DavidCebonisaFellowoftheRoyalAcademyofEngineeringandaprofessorofMechanicalEngineeringatCambridgeUniversity.HereceivedhisPh.D.degreefromCambridgeUniversity.Heleadsanactiveresearchgroupconcernedwiththedesignanddynamicsofheavyvehiclesuspensions,roaddamageandthemicromechanicsofasphaltfailure.Hehaswrittennumerouspapersonthedynamicsofheavyvehicles,trafficinstrumentation,roaddamageandmaterialsinformationmanagementsoftware.
Dr. David Cebon is a Fellow of the Royal Academy of Engineering and a professor of Mechanical Engineering at Cambridge University. He received his Ph.D. degree from Cambridge University. He leads an active research group concerned with the design and dynamics of heavy vehicle suspensions, road damage and the micromechanics of asphalt failure. He has written numerous papers on the dynamics of heavy vehicles, traffic instrumentation, road damage and materials information management software.