IS Management - School of Information Systems - Singapore ...
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IS Management - School of Information Systems - Singapore ...
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SMU <strong>School</strong> <strong>of</strong> <strong>Information</strong> <strong>Systems</strong> OverviewUpdated 05 July 2013
<strong>Singapore</strong> <strong>Management</strong> UniversitySMU: a world-class university centered onthe world <strong>of</strong> business and management,for the private and public sector.SMU: an urban universityin the heart <strong>of</strong> downtown <strong>Singapore</strong>2
S<strong>IS</strong> 1 st Decade 2003 – 2012: Accomplishments & Distinction1. Research &ScholarlyPublishing1. Achievement <strong>of</strong> niche strength and distinction within 1) Research,2) Education, and 3) Application & Practice2. EducationGov’tapproval forS<strong>IS</strong> creation:Oct 20021 st studentintake:Aug 2003, 93students forBSc (<strong>IS</strong>M)3. Application& PracticeS<strong>IS</strong> Fast FactsStudents EnrolledBSc (<strong>IS</strong>M): 1131MITB: 151PhD (<strong>IS</strong>): 56MA<strong>IS</strong>: 9MSc (<strong>IS</strong>): 0AlumniBSc (<strong>IS</strong>M): 1197MITB: 116PhD (<strong>IS</strong>): 7MA<strong>IS</strong>: 1MSc (<strong>IS</strong>): 7Faculty 49Research StaffRC: 23ICLI: 31InstructorsBSc (<strong>IS</strong>M): 12MITB: 6Data as <strong>of</strong> Sep 20132. Creation <strong>of</strong> rich linkages• Across the three dimensions, across our five faculty areas3. Recognition as a capable, innovative, and well-connected place by• Computer Science groups• i-<strong>School</strong>s• Business <strong>School</strong> <strong>IS</strong> groups• Industry (via multinationals, regional & local firms)• Public sector in <strong>Singapore</strong>4. Attainment <strong>of</strong> meaningful scale for numbers <strong>of</strong> faculty, studentsand staff5. Creation <strong>of</strong> a distinctive culture and high performance workenvironment for faculty, staff and students6. A very different type <strong>of</strong> school within SMU(design, s<strong>of</strong>tware, prototypes, ComputerScience + <strong>Management</strong> Science) yet alsoan integral and indispensible part <strong>of</strong> theuniversity
S<strong>IS</strong> Programmes and AreasEducational Programmes• Undergraduate• Post-Graduate:Pr<strong>of</strong>essional Degrees• Post-Graduate:Pr<strong>of</strong>essional DevelopmentContinuing Education, Non-Degree• Post-Graduate:Research DegreesAreas <strong>of</strong> Research& Faculty Hiring• BSc (<strong>IS</strong> <strong>Management</strong>)• Master <strong>of</strong> IT in Business, MITB• MITB (Financial Services) track• MITB (Analytics) track• Financial IT Academy@SMU,• Analytics focused, for all sectors• IT management focused, for all sectors• PhD, Info Sys (coursework + PhD thesis)• Master <strong>of</strong> Applied Info <strong>Systems</strong>, MA<strong>IS</strong>(coursework + applied project)• MSc, Info Sys (coursework + MSc thesis)• Data <strong>Management</strong> & Analytics• Info Security & Trust• Info <strong>Systems</strong> & <strong>Management</strong>• Intelligent <strong>Systems</strong> & Decision Analytics• S<strong>of</strong>tware <strong>Systems</strong>4
<strong>School</strong> <strong>of</strong> <strong>Information</strong> <strong>Systems</strong> Areas and Faculty SizeResearch TrackEducation &Practice TrackTotalData<strong>Management</strong>& Analytics8 3 11<strong>Information</strong>Security &Trust<strong>IS</strong> &<strong>Management</strong>Intelligent<strong>Systems</strong> &DecisionAnalyticsS<strong>of</strong>tware<strong>Systems</strong>5 0 57 5 124 4 86 7 13Total 30 19 49Percent 61.2% 38.8% 100%• Faculty totals as <strong>of</strong> 01 August 2013• Includes 1 research track faculty arriving in March 2014 in Intelligent<strong>Systems</strong> & Decision Analytics5
Updated17 June 2013Update on S<strong>IS</strong> Faculty Member Headcount by Main S<strong>IS</strong> AreasData <strong>Management</strong> &Analytics<strong>Information</strong> <strong>Systems</strong> Technology & <strong>Management</strong><strong>Information</strong>Security & Trust<strong>Information</strong> <strong>Systems</strong> &<strong>Management</strong>Intelligent <strong>Systems</strong> &Decisions AnalyticsS<strong>of</strong>tware <strong>Systems</strong>Tenure Track31 Full-Time T-Track<strong>of</strong> 50 Total =62 % <strong>of</strong>Full Time totalPLUS1 visitorJIANG Jing CHU Chao Hsien GUO Zhiling CHENG Shih-Fen BALAN RajeshLAUW Hady DENG Robert KAUFFMAN Robert LAU Hoong Chuin DAV<strong>IS</strong> RichardLIM Ee-Peng DING Xuhua KIM Youngsoo VARAKANTHAM P JIANG LingxiaoMOURATID<strong>IS</strong> K GAO Debin LIN MeiConfirmed new hire,starting March, 2014LEE YoungKiPANG Hwee Hwa LI Yingjiu MA Dan LO DavidSHEN JialieWANG Ke (Visitor)Eventual New hire inFY 2013, TBDTANG QianWOODARD C JasonM<strong>IS</strong>RA ArchanZHENG BaihuaEducation& PracticeTrack19Full-TimeE/P Track<strong>of</strong> 50 Total =38% <strong>of</strong>Full time totalPLUSSelf-financedadditionsZHU FeidaCHOKSHI Seema BAUMGARTNER Ilse CHEONG Michelle BOESCH ChrisKAM Tin Seong CH'NG Enoch LEE Wee Leong CHEOK Lai TeeSHIM Kyong Jin MILLER Steven LEONG Thin Yin GAN BenjaminNARASIMHALU Desai MA Nang Laik LEE Yeow LeongPatrick THNGTAN Kar Way (DHL support,Sept 2013)MEGARGEL AlanSHANKARARAMAN VSTEPPE Kevin
S<strong>IS</strong> Research AreasDATAMANAGEMENT& ANALYTICSINFORMATIONSECURITY& TRUSTINFORMATIONSYSTEMS &MANAGEMENTINTELLIGENTSYSTEMS &DEC<strong>IS</strong>IONANALYTICSSOFTWARESYSTEMSDATA MINING &MACHINE LEARNINGNETWORK ANALYTICSDATA SECURITY& PRIVACYMOBILE PLATFORM &APPLICATION SECURITYECONOMICS OFINFORMATION SYSTEMS& TECHNOLOGYIT, INDUSTRY & SOCIALTRANSFORMATIONAUTONOMOUS AGENTS& MULTIAGENT SYSTEMSMACHINE LEARNINGMOBILE APPLICATIONS& SYSTEMSEMPIRICAL SOFTWAREENGINEERINGINFORMATION RETRIEVALSPATIAL & MOBILEDATABASE SYSTEMSRFID, IOT SECURITY& PRIVACYCOMPUTER & SOFTWARESECURITYINFORMATION,CONSUMER BEHAVIOR &MARKETINGINNOVATION,STRATEGY & DESIGNOPTIMIZATION &META-HEUR<strong>IS</strong>TICSLOG<strong>IS</strong>TICS & SUPPLYCHAIN OPERATIONSINTERACTIVECOMPUTINGINTERFACESSOFTWARE MINING &PROGRAM ANALYS<strong>IS</strong>RECOMMENDATIONSYSTEMSMULTIMEDIACONTENT SECURITYIT SERVICES, SYSTEMS& PLATFORMSPLANNING &SCHEDULINGSOFTWARE TESTING& DEBUGGINGDATA V<strong>IS</strong>UALIZATIONCLOUD COMPUTINGSECURITYEMPIRICAL,EXPERIMENTAL &FIELD-BASED METHODSBUSINESS SIMULATION& GAMINGCLOUD PLATFORMS FORURBAN COMPUTINGDATA SECURITY& PRIVACYSECURITY MANAGEMENT& R<strong>IS</strong>K ANALYS<strong>IS</strong>IMPACTS OF EMERGINGTECHNOLOGIESDEC<strong>IS</strong>ION SUPPORTSYSTEMSCYBER-PHYSICALSOFTWARELiving AnalyticsResearch Centre<strong>Singapore</strong> <strong>Management</strong>University + CarnegieMellon UniversityLiveLabsUrban LifestyleInnovation PlatformUrban<strong>Management</strong>Analytics LabiCity Lab(TCS – SMU)GreenTransformationLab(DHL – SMU)Financial ITAcademy@ SMUEDUCATION & PRACTICE PROJECTS and OUTPUTS7
Beyond our 5 Faculty & Disciplinary Areasto 9 Strategic Cross Cutting Themes and Competencies8
Additional SMU Institutes, Centres, Labs, Initiatives (ICLI’s)under consideration that would be managed by S<strong>IS</strong>Name11. Consumer and Social Analyticsrelated --Building on LARC + LiveLabsComments• Ongoing in-depth discussions with several potentialpartners to expand our research affiliates network• Ongoing in-depth discussions with a key global playerfor a major collaboration12. Cyber Trust • Ongoing in-depth discussions with <strong>Singapore</strong>government R&D sponsors and a key global player13. Secure Mobile Computing Lab andrelated consortia• Ongoing in-depth discussions with <strong>Singapore</strong>government R&D sponsors and various potentialpartners as research affiliates14. Analytics Institute @ SMU • Ongoing effort to establish resources forpr<strong>of</strong>essorships, research visitors, PhD students andstaff to further strengthen SMU’s Analytics Area <strong>of</strong>Excellence10
11LiveAnalytics (LARC + LiveLabs) : New Concepts, Methods andTools for Consumer & Social Insights that areLARC• Experiment-driven• Closed-loop, and iterative• Network-centric• Observing complex behaviors via digitaltraces• Progressively real-time• Progressively societal-scale• Combining field realism & complexity withlab controlPlus LiveLabs• Context aware via mobile phones• Using real-time context triggers forautomating behavioral interactions• Combining usage-adaptive 4G networkmanagement with end-user behavior
Project Settings12
Research Summary:From Analytics to ExperimentationLASERLiving Analytics <strong>Systems</strong> forExperimentation andResponseClosed loopFast turnaroundUse <strong>of</strong> open sourceComponent drivenResearch friendlyBridging LARC and LiveLabsData and DecisionAnalyticsExperimentation13
LASER: An OverviewAn integrated s<strong>of</strong>tware platform for• Randomized controlled closed-loop user experiments– User selection into treatment and control groups– Network experiment support• User response tracking– Minimal intrusion on existing application code– Tracking code snippet generation• Experiment control– Realtime monitoring <strong>of</strong> experiments using dashboard• User response analytics– Online analytical processing <strong>of</strong> user responsesLASER= Living Analytics System for Experimentation & Response14
Types <strong>of</strong> ExperimentsSubjects are randomized forcontrolled treatmentsRandomized ControlledAgreement from partnerand their usersCo-experimentation withLARCindustry partnerTerms <strong>of</strong> Use to solicit userpermission to use theirdataAgreement from students+ consumersExperimentation Co-experimentation withwith public LiveLabs & Locationsocial media users PartnersLASER enabledexperimentationNon-LASER enabledexperimentationExperimentation performed usingLASER and/or partner’s proprietarysystemExperimentation performed usingpartner’s proprietary system only15
LiveLabs Urban Lifestyle Innovation PlatformTesting Context-Enabled Mobile Services onReal People in the Real WorldReal-time Mobile Sensing(Activity, Indoor location,Browsing, SMS ...)Real-time Individual andServer Group Analytics(Dynamic Group Detection, Queuing,Preferences)Context-DrivenInterventions(Incentives, Promotions,Recommendations ...)
LiveLabs: Scale and Scope30,000 opt-in consumersTrials for usage-adaptivewireless networktechnologiesEnergy-Efficient deepcontext collection andreal-time analyticsKey Technology ThrustsReal world, privacyconsciousexperimentationMultiple Urban Venues, Lifestyle Verticals and Key PartnersTelco& IDMSMUPlaza SingapuraRetail &ConsumptionChangi AirportLeisure&TourismSentosa
LiveLabs TechnologiesKey Research Challenges1. Deep, energy-efficient,continuous, context collection2. Continuous indoor locationtracking in public spaces3. Derive Deep Analytics fromContext4. Run automated socialexperiments on mobile devices5. Handle transient network trafficloadsCurrent Innovations/Capabilities• Clients for Android, iOS, Phone8 .• Server-controlled capture <strong>of</strong> phone events (e.g.,SMS, URLs) & sensor data• Client-side +-3m accuracy for Android.• Server-side tracking for all platforms (e.g., iOS,Phone 8)• Real-time Queue Detection System.• Detection <strong>of</strong> Dynamic Groups fromSpatiotemporal trajectories*• Intervention <strong>Management</strong> Portal (v1) allowslocation & time-based delivery <strong>of</strong>ads/promotions.• Use <strong>of</strong> TV Whitespace and real-time RFMapping technologies under investigation*LARC+ LiveLabs
LiveLabs Videos (click on image to view)A Day With LiveLabs• Illustrates the vision <strong>of</strong> different context-drivenapplications at different LiveLabs testbedvenues.Smarter Retail & LiveLabs• Illustrates the use <strong>of</strong> real-time context forinnovative context-driven promotions andincentives in shopping malls.Practical Queuing Detection• Illustrates a working system that usessmartphone sensors to detect queuing behaviorin real time in the real world.
LiveLabs Ecosystem: Key Features• Opt-in participants Explicit consent for participation, with incentives• S<strong>of</strong>tware platform for user interaction and experiments Easy-to-use UI for intervention specification by authorized partners.• Supporting R&D for context-based user interaction• Mobile apps that take advantage <strong>of</strong> LiveLabs capabilities Both in-house and by selected research partners• Protection <strong>of</strong> information security and data privacy Compliance with <strong>Singapore</strong>’s PDPA legislation• Integration with LARC
LiveLabs – LARC IntegrationLiveLabs Urban Lifestyle Innovation PlatformHigh-levelcontext triggersReal-time MobileAnalytics ServerExperimentationServerUploaded mobile contextdata (e.g., events & sensors)Internet CloudInvestigatorsSpecifyInterventionsRelevant Interventionsdelivered on mobile devicesObserved user responses& actionsLiveLabsResults ServerLiveLabs Context Collectionapplication installed inparticipant smartphonesLARC & LASER• Experiment Planning &Design• Statistical Analysis <strong>of</strong>Experimental Results• Strategy & Methods forExperiment iteration21
LARC-LiveLabs Interconnect ExampleGroup & Location-Aware Recommendations• Group and Location-Awarerecommendation experimentsLASER enabledexperimentationExperimentation withpublic usersRandomized ControlledSmuddy: LiveLabsLocation-Aware Messaging& Search AppLiveLabs UsersLASERLocation &Group-awareRecommendationsLiveLabsLocation DBLiveLabs@SMU1. Group Detection2. Prediction <strong>of</strong> FutureLocationLARC SpatiotemporalAnalytics ServiceSpatiotemporalTrajectory DataExperiment Plan• Phase 1: Q4, 2013.• Phase 2: Q1, 2014.22
23Framework for LiveAnalytics (LARC & LiveLabs)• Observe complex behaviors in naturalconsumer and social settings via digital traces• Progressively real-time• Progressively societal-scale• Experiment-driven• Closed-loop,and iterative• Network-centric
LiveAnalytics Vision(LARC + LiveLabs)24Analytics that combinerealism, complexity and dynamics<strong>of</strong> social and consumer behaviorobservable in the fieldwithexperimental control andcausal inference capability <strong>of</strong> the labin anetwork-centric world
Urban <strong>Management</strong> Analytics Lab at S<strong>IS</strong>CongestionCrowdsResource Planning and Coordination for SustainabilityQueuesMore Queues
City Logistics:Last-Mile Freight Delivery CoordinationBridge(North)City Distribution CentreBridge(West)OutskirtJurong PortCity Distribution CentreCity CentrePSA
Mobility (Public Transportation):Taxi Fleet Movement Coordination(l5, a5, r5)Queue(l6, a6, r6)Queued6d5d4d1r1JQueue(l4, a4, r4)(l2, a2, r2)Queued2a(t, p)r(t, p)A dynamically formed queue basedon request (e.g., last-mile serviceprovided at MRT station)d3r3J• Intelligent matching <strong>of</strong> supply anddemand• Taxis are self-interested vehicles, (whichare mostly ignored in traditional trafficsimulation studies)• Auction mechanism for last-mile ridesharing• New policies and control mechanisms areevaluated using an agent-based simulator
Health-Care:Dynamic Queue Control for Emergency Departments• Adaptive matching <strong>of</strong> demand and supply• Dispatch strategies to dynamically prioritizepatients in the queue in real-time, takinghistorical data and real-time demand intoconsideration
Leisure:Crowd Coordination at Theme ParksReplanningVisitor Personal InfoReal-time Ride Status,Queue Times,Show ScheulesOperator Monitoringand Intervention
Security:Randomized Patrol Scheduling in Network31
32Opportunities for SMU and S<strong>IS</strong> in AnalyticsIntersection <strong>of</strong> Infocomm with Big Data withSocial & Behavioural Science and <strong>Management</strong>SMU & S<strong>IS</strong>ResearchExcellenceBecome a GlobalLeader inComputationalSocial ScienceMake the large-scaleTestbeds successfulBuild Analytics forBusiness, Consumer &Social Insights into SMUwide Area <strong>of</strong> ExcellenceMake SMU a globalinnovator and leader inComputational SocialScienceInformatics applied to<strong>Management</strong>, Business& Social Science + BigData LARC (in partnership with Carnegie Mellon) LiveLabs Urban Lifestyle Innovation Platform iCity Lab (with TCS), Green Transformation Lab (with DHL) Getting more <strong>of</strong> SMU involved;Linking research, education, practice, outreach Ability to protect proprietary data from private and public sectorpartners Proactive compliance with <strong>Singapore</strong>’s new Personal DataProtection Act (PDPA) and IRB requirements Go beyond Analytics for Business, Consumer & Social Insights Leverage on CMU Partnership for LARC Expanded partnership network for as work inComputational Social Science expands
Planned Analytics Institute@SMUEnvisioning an Analytics Institute@SMU (Future Plan)Live Analytics Consumer & Social Analytics, Experiment-Driven, Network-Oriented LARC (SMU, CMU, Partners) LiveLabs (SMU, Partners)Urban <strong>Management</strong> Analytics Green Transformation Lab (DHL, SMU)•Ongoing activitiesPlans for new activities Analytics and Optimisation for Urban Security & Safety (MHA) A*STAR Collaborative Urban Logistics consortium iCity Lab (TCS, SMU)Analytics for Business, Consumer & Social Insight Already designated as an SMU Area <strong>of</strong> ExcellenceSocial & Policy Analytics (including Urban & Regional Policy Analytics)• Rooted in theory, questions and data fromEconomics, Sociology, Political Science and Applied Policy Analysis• Natural links with forthcoming SMU Nathan Institute, with Public SectorFoundation Methods for Analytics across Research and Practice• From computer science, machine learning, statistics, econometrics, management• Theory and methods for integrating Computation + Social Science + <strong>Management</strong>• Applications and practice for integrating Computation + Social Science + <strong>Management</strong>Analytics Education across Research, Practice and Outreach Bachelors, MITB (Analytics), Masters by Research, PhD + Continuing Education
Key S<strong>IS</strong> Research Areas & Capabilities In <strong>Information</strong> SecurityCybersecurity Expertise,Projects, and ResearchPublicationsCybersecurityKey ResearchAreasData Security &PrivacyRFID and IoTSecurityMobile Platform &Applications;<strong>Systems</strong> SecurityCybersecurity<strong>Management</strong>and PolicyData security &privacy in cloudcomputingRFID security &privacyMobile platformsecurityCybersecurity & DataPrivacy LawsQuery privacy indatabasesSecure EPCGlobalnetworkS<strong>of</strong>tware attackanalysis & defenseSecurity & riskmanagementMultimedia securityTamper Detection inthe EPC NetworkTrustedcomputingOrganizational infosecurity & privacyAuthentication <strong>of</strong>query resultsRFID privacy issues inhealthcareIntrusiondetectionPersonnel datasecurity & privacyPrivacy-preservingdata analyticsIoT security & privacyLeakage resilientpassword systemsSecurity audit &complianceData applicationssecurityHuman factors in userauthenticationBusiness continuity &incidence responseSocial networksecurityComputer & cyberforensicsCybersecurity policymanagementEstablished Areas <strong>of</strong> Capability and StrengthNew Opportunity AreasCombining <strong>Management</strong>,Policy & Technology34
Key Research Problems to Pursue in DataSecurity & PrivacyData Security &PrivacyData security &privacy in cloudcomputingQuery privacy indatabasesMultimedia securityAuthentication <strong>of</strong>query resultsPrivacy-preservingdata analyticsData applicationssecuritySocial networksecurity• How to specify security requirements and create correspondingsecurity solutions for data-centric applications?• How to performance access control on encrypted data stored inuntrusted servers?• How to block direct access to privacy-disclosing data items andcontrol indirect access to such items while minimizing the impact onthe scope and accuracy <strong>of</strong> data analytics?• How to verify that users’ query results are complete and authentic?• How to design search engines that can accurately return relevantdocuments while safeguarding the true user intention?• How to balance user privacy control and business functionalities insocial networks?35
Key Research Problems to Pursue in MobilePlatform, Application & System SecurityMobile Platform,Application &<strong>Systems</strong> SecurityMobile platformsecurityS<strong>of</strong>tware attackanalysis & defenseTrustedcomputingIntrusiondetectionLeakage resilientpassword systemsHuman factors in userauthenticationComputer & cyberforensics• How to design and implement trustworthy mobile computingplatforms and s<strong>of</strong>tware?• How to effectively and efficiently detect intrusions in mobileplatforms?• How to design and evaluate mobile platform and applicationsecurity techniques for context-aware applications?• How to perform fuzz testing and dynamic taint analysis <strong>of</strong>mobile apps?• How to perform security analysis on binary programs formalware identification and detection?• How to design and evaluate secure and usable userauthentication systems on mobile platforms?36
Top Tier Publications Across All S<strong>IS</strong> AreasS<strong>IS</strong> Area Conferences Journals<strong>Information</strong>Security &Trust• IEEE Symposium on Security & Privacy• USENIX Security Symposium• ACM Conference on Computer andCommunications Security• European Symposium on Research inComputer Security• ACM Transactions on <strong>Information</strong> and SystemSecurity• IEEE Transactions on Dependable and SecureComputing• IEEE Transactions on <strong>Information</strong> Forensics andSecurity• Journal <strong>of</strong> Computer SecurityData<strong>Management</strong>& Analytics• ACL Conference• ACM Multimedia Conference• ACM SIGIR Conference• ACM SIGKDD Conference• ACM SIGMOD Conference• ICDE Conference• ICDM Conference• VLDB Conference• WWW Conference• ACM Transactions on <strong>Information</strong> <strong>Systems</strong>• ACM Transactions on Database <strong>Systems</strong>• IEEE Transactions on Multimedia• IEEE Transactions on Knowledge and DataEngineering• IEEE Transactions on Mobile Computing• IEEE Transactions on Circuits and <strong>Systems</strong> for VideoTechnology• Pattern Recognition• VLDB JournalS<strong>IS</strong> faculty, PhD students and research staff in these areas haverecently published in these conferences and journals.37
Top Tier Publications Across All S<strong>IS</strong> Areas, cont’dS<strong>IS</strong> Area Conferences JournalsS<strong>of</strong>tware<strong>Systems</strong>• ACM Conference on Embedded Networked Sensor<strong>Systems</strong>• ACM International Joint Conference on Pervasive andUbiquitous Computing• ACM SIGCHI Conference on Human Factors inComputing <strong>Systems</strong>• ACM SIGSOFT Symposium on the Foundations <strong>of</strong>S<strong>of</strong>tware Engineering• International Conference on Mobile <strong>Systems</strong>,Applications, and Services• IEEE International Conference on ComputerCommunications• IEEE International Conference on Pervasive Computingand Communications• International Conference on S<strong>of</strong>tware Engineering• SIGPLAN Conference on Object-OrientedProgramming, <strong>Systems</strong>, Languages, and Applications• ACM Transactions on Sensor Networks• ACM Transactions on Computer-HumanInteraction• IEEE Transactions on Mobile Computing• IEEE Transactions on Services Computing• IEEE Computer• IEEE/ACM Transactions on Networking• IEEE Journal <strong>of</strong> Selected Areas in CommunicationsIntelligent<strong>Systems</strong>& DecisionAnalytics• International Joint Conference on Autonomous Agentsand MultiAgent <strong>Systems</strong>• National Conference on Artificial Intelligence (AAAIConference)• International Conference on Intelligent AgentTechnology• IEEE Transactions on Automation Science andEngineering• IEEE Transactions on <strong>Systems</strong>, Man, Cybernetics• Annals <strong>of</strong> Operations Research• Journal <strong>of</strong> Autonomous Agents and Multi-Agent<strong>Systems</strong>S<strong>IS</strong> faculty, PhD students and research staff in these areas haverecently published in these conferences and journals.38
Top Tier Publications Across All S<strong>IS</strong> Areas, cont’dS<strong>IS</strong> Area Conferences Journals<strong>IS</strong> &<strong>Management</strong>• ACM Conference on Electronic Commerce• Americas Conference on <strong>Information</strong> <strong>Systems</strong>• International Conference on <strong>Information</strong><strong>Systems</strong>• International Workshop on <strong>Information</strong><strong>Systems</strong> and Economics• Hawaii International Conference on SystemSciences• Communications <strong>of</strong> the ACM• Decision Support <strong>Systems</strong>• Journal <strong>of</strong> <strong>Management</strong> <strong>Information</strong> <strong>Systems</strong>• Journal Electronic Commerce Research &Applications• IEEE Transactions on Engineering <strong>Management</strong>• <strong>Information</strong> <strong>Systems</strong> Research• International Journal <strong>of</strong> Electronic Commerce• <strong>Management</strong> Science• M<strong>IS</strong> Quarterly• Strategic <strong>Management</strong> JournalS<strong>IS</strong> faculty, PhD students and research staff in this area have recentlypublished in these conferences and journals.39
S<strong>IS</strong> Educational ProgrammesMaster <strong>of</strong> Applied <strong>Information</strong> <strong>Systems</strong>A research masters with a major <strong>Information</strong> <strong>Systems</strong>application project componentPhD in <strong>Information</strong> <strong>Systems</strong>MSc in <strong>Information</strong> <strong>Systems</strong>A research masters with a thesis componentBSc (<strong>IS</strong> <strong>Management</strong>)Our comprehensive undergraduate experienceMaster <strong>of</strong> IT in BusinessA pr<strong>of</strong>essionally oriented, course-work based programmewith a Capstone Project
BSc (<strong>Information</strong> <strong>Systems</strong> <strong>Management</strong>) Curriculum41
Program Structure for Undergrad Analytics 2 nd Major at SMU43
Master <strong>of</strong> IT in Business Programme (MITB)
A. Banking Technology &ProcessesA.1 Banking Products & ProcessesA.2 Retail Banking Technology &OperationsA.3 Corporate Banking Technology &OperationsA.4 Financial Markets Technology &OperationsA.5 Trading Technology & OperationsA.6 Payment Technology &OperationsA.7 Assets <strong>Management</strong> Technology& OperationsA.8 Lifecycle Implementation <strong>of</strong> BankingProductsA.9 FS Operational Risk I: Foundation &FrameworkA.10 FS Operational Risk II: Technology,& <strong>Systems</strong>Powerfulability topursuebusiness,consumerand socialanalyticswithbanking andfinancialservicesB. Analytics Technology& ApplicationsB.1 Analytics Framework & BusinessContextB.2 Data Analytics LabB.3 Customer Analytics & ApplicationsB.4 Operations Analytics & ApplicationsB.5 Cloud and Big Data AnalyticsB.6 Visual Analytics & ApplicationsB.7 Text Analytics & ApplicationsB. 8 Social Analytics & ApplicationsB.9 Mobile Analytics & ApplicationsB.10 Business Analytics Practicum45
The new SMU Financial IT Academy@SMU, the national“lead provider” for Financial Services IT Manpower DevelopmentBanking & Financial ServicesTechnology, Operations, Processes& Service Innovation (TOPS)Pr<strong>of</strong>essional Short CoursesPart <strong>of</strong> <strong>Singapore</strong>’snational competencydevelopment efforts forboth IT and FinancialServicesCore TechnologySkillsforFinancial ServiceapplicationsHybrid IT-FS SkillsspanningIT applications,processes, andbusiness operationsEmerging IT SkillsforFinancial ServicesAdvanced<strong>Management</strong> SkillsforFS IT Pr<strong>of</strong>essionals• Funded by Monetary Authority <strong>of</strong> <strong>Singapore</strong> (MAS) and Infocomm Development Authority (IDA)• Officially announced on 28 May 2013 at the Institute <strong>of</strong> Banking & Finance Industry46
S<strong>IS</strong> Post-Graduate Pr<strong>of</strong>essional Programmes:Leveraging Our Full Ecosystem for Expertise, Scale and SynergyBanking & Financial ServicesT & O:Technology, Operations, Processes& Service Innovation (TOPS)Masters LevelPr<strong>of</strong>essional Short CoursesUndergraduate LevelAnalytics for Business, Consumer& Social Insights:Data, Processes, Technology& Business ApplicationsMasters LevelPr<strong>of</strong>essional Short CoursesUndergraduate LevelJoint effort with industry to developbusiness oriented IT pr<strong>of</strong>essionals in strategic areasATTRACTPREPARERETAIN47
PhD in <strong>Information</strong> <strong>Systems</strong>Our Goal• To develop researchers/educators– Who address deep technology challengesin real information systems that impactbusiness processes or management, or– Who develop tools and methodologies totranslate business goals to technologysolutions.• PhD graduates will be capable <strong>of</strong>– Collaborating with faculty members fromdifferent research areas,– Designing technology solutions for realworldproblems and applications,– While still producing top-rate academicpublications.
Our PhD in <strong>IS</strong> students receive awell-rounded educationOur PhD students:Produce high-quality research that generates impactful andreal-world relevant outcomesLearn from eminent faculty members and internationallyrenownedvisiting academicsUndertake research assistantships in SMU research centresand overseas institutions (e.g. CMU)Undertake teaching assistantships and internships
Our PhD students conducthigh-quality researchOur PhD students have received Best / Distinguished Paper Awardsfor their outstanding research papers.Chee Meng TEY & Payas GUPTABest Paper Award at the Network &Distributed System Security (NDSS)Symposium 2013I Can Be You: Questioning the use <strong>of</strong>Keystroke as BiometricsQiang YAN & Jin HANDistinguished Paper Award at theNDSS Symposium 2012On Limitations <strong>of</strong> Designing Leakage-resilientPassword <strong>Systems</strong>: Attacks, Principles andUsabilityKiat Wee TANBest Paper Award at the Workshop onMobile Gaming (MobiGames), in conjunctionwith ACM SIGCOMM 2013Adaptive Display Power <strong>Management</strong> for OLEDDisplays
Our PhD graduates have goodemployment prospectsKOH Noi SianLecturerNanyang PolytechnicHU MeiqunResearch ScientistA*STAR I2RFU NaResearch FellowLiving Analytics Research CentreHAN JinResearch ScientistA*STAR I2RPayas GUPTAPostdoctoral FellowNew York University, Abu Dhabi
PhD Students Expected to Graduate in YR2013TAN Kar WayYear <strong>of</strong> Admission: AY2007-08, Term 1Research Area: Intelligent <strong>Systems</strong> & Decision AnalyticsPlacement: Academic Director, Green Transformation Lab(DHL – SMU collaboration) and S<strong>IS</strong> Education/Practicetrack faculty, as <strong>of</strong> October, 2013Research Advisors: Associate Pr<strong>of</strong>essor LAU Hoong Chuin & Associate Pr<strong>of</strong>essor (Education)) Venky SHANKARARAMANDAI HanboYear <strong>of</strong> Admission: AY2008-09, Term 1Research Area: Data <strong>Management</strong> & AnalyticsResearch Advisors: Pr<strong>of</strong>essor LIM Ee-Peng & Assistant Pr<strong>of</strong>essor ZHU FeidaPlacement: Faculty at Hubei University,Computer Science Dept., Hubei Province, ChinaLindawatiYear <strong>of</strong> Admission: AY2008-09, Term 1Research Area: Intelligent <strong>Systems</strong> & Decision AnalyticsResearch Advisors: Associate Pr<strong>of</strong>essor LAU Hoong Chuin & Assistant Pr<strong>of</strong>essor David LOYAN QiangYear <strong>of</strong> Admission: AY2008-09, Term 1Research Area: <strong>Information</strong> Security & TrustResearch Advisors: Pr<strong>of</strong>essor Robert H. DENG & Associate Pr<strong>of</strong>essor LI YingjiuPlacement: Researcher at Google R&D Labs,Zurich Switzerland (as <strong>of</strong> September 2013)52
We <strong>of</strong>fer competitive Fellowships& ScholarshipsFullScholarships• Cover tuition and registration fees, and providemonthly stipends (S$2000 to S$2500).• Renewable yearly, up to Year 4, based on goodacademic performance.PresidentialDoctoralFellowships• Exceptionally qualified PhD students.• Renewable yearly, up to Year 4, based on goodacademic performance.• Higher monthly stipends (S$3000 to S$3300).
Master <strong>of</strong> Applied <strong>Information</strong> <strong>Systems</strong> (MA<strong>IS</strong>)Program ObjectiveEnhance students’ knowledge and skills by providing them with a broad view <strong>of</strong>information systems, in addition to valuable hands-on experiencesProgram HighlightStudents need to complete industrial strength projects with our partner centres,institutes, or industry collaborators, as an essential component <strong>of</strong> the curriculumTracks OfferedTechnology Tracks• Data <strong>Management</strong> & AnalyticsTrack• <strong>Information</strong> Security & Trust Track• S<strong>of</strong>tware <strong>Systems</strong> TrackIT-Enabled Innovation &Entrepreneurship TrackProgram Structure• Full time (1 to 1.5 years), or• Part time (2 to 3 years)• Three terms per academic year• Two intakes every year (Aug, Jan)
Overview <strong>of</strong> SMU S<strong>IS</strong> Pr<strong>of</strong>essional Programmes forContinuing Education and Training (CET)Content Base forS<strong>IS</strong> CET CoursesBSc (<strong>Information</strong> <strong>Systems</strong><strong>Management</strong>) CoursesMITB (Financial Services)Courses [Series A]MITB (Analytics) Courses[Series B]Short Version ThroughNTUC Next U – S<strong>IS</strong>Partnership(Open Enrolment)Delivery Model and ChannelFull S<strong>IS</strong> CourseThrough Single CourseRegistrationSpecial Condensed orExtended VersionProgrammes for ClientPossible Possible YesNo Yes YesFor Selected Courses Yes YesMITB IT & Project <strong>Management</strong>Courses [Series C] Possible Possible YesS<strong>IS</strong> PhD Courses No Possible YesFinancial IT Academy@SMUNoYes(Academy only <strong>of</strong>fersshort courses )Yes(customizedprogrammes available)55
SMU S<strong>IS</strong> Pr<strong>of</strong>essional Education Programme– Special Programmes• Special programmes for companies in the areas <strong>of</strong>:a. Financial Services Processes, Operations, Technology and Transformation; orb. Business, Consumer & Social Analytics• Technology & Operations Graduate Education Program – June 2011– Client was extremely pleased with the program outcome and they wish to collaborateagain to execute a 2 nd run on a larger scale for twice as many <strong>of</strong> their graduateexecutives (to be conducted in two sections) in 2012How has one month campus training prepared you for your job?Since I am an engineering graduate, my knowledge <strong>of</strong> finance and bankingis limited. In the one month training, I learnt a lot about banking productsand processes. Besides the knowledge, my s<strong>of</strong>t skills have also improvedwhich really prepared me for the jobrotations.– A participant <strong>of</strong> the Technology & Operations Graduate EducationProgram56
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