The Scholar-Practitioner Model as a Basis for Promoting Researcher ...

Vcoffice

Description

• fiche de synthèse - matière potentielle : articles

The Scholar-Practitioner Model as a Basis for Promoting Researcher, Practitioner, and Educator Collaboration in Physical Science and Information Technology Graduate Education Daniel R. Sewell, Ph.D. Fielding Graduate University Santa Barbara, CA Presented at the Pan-American Advanced Studies Institute, Grid Computing and Advanced Networking Technologies for E-Science, Mendoza, Argentina, May 15-21, 2005. Address correspondence to: Daniel R. Sewell, Ph.D. Associate Provost for Research Fielding Graduate University 2112 Santa Barbara Street Santa Barbara, CA 93105 email: dsewell@fielding.

• collaborative view of learning5
• technical research scientists
• practitioner model
• scholar
• practitioners
• knowledge
• development
• research
• learner

Sujets

• Sewell
• Fielding Graduate University
• Scholarly method
• Practitioner
• Research

Informations

• Publié par: rehev
• Nombre de lectures: 22
• Langue: English

Extrait

INTERNATIONALCONFERENCEONWIRELESSTECHNOLOGIESFOR HUMANITARIANRELIEF–ACWR2011 T.1.1:WirelessCellularNetworks TutorialSpeaker:Dr.NagabhushanaSindhushayana,VicePresidentofTechnology,Qualcomm,USA Title:HeterogeneityandMulti‐cellCooperationinWirelessCellularNetworks Date:18.12.2011

Abstract: Theperformanceofmosturbancellularnetworksislimitedbyinter‐cellinterference.Thisis particularlytrueofacellularnetworkwithheterogeneousinfrastructure,whereinthesamespectrumis sharedbydifferenttypesofbase‐stationssuchasmacro‐cells,pico‐cells,femto‐cellsandrelays. Performanceofsuchdense/heterogeneousdeploymentsmaybegreatlyenhancedthroughtheuseof smartassociationtechniques,coupledwithadaptiveinterferencemanagement.Unliketraditional cellularsystemswhereassociationispredominantlybasedonmaximizingsignalqualitybetweenthe base‐stationandtheuser,asmartassociationschemeinaheterogeneousnetworkshouldbebasedon severaladditionalcriteriasuchasaggressiveload‐balancing,path‐lossminimization,orminimizationof interferencetootherlinks.Aggressiveload‐balancing(inparticular)requiresadvancedinterference management,whichcanmayberealizedthrough(soft)resourcepartitioning,beam‐coordinationor jointsignalprocessingatthebase‐stations.Multi‐cellsignalprocessing(ordistributedMIMO)canbe usedinhomogeneousnetworksaswell,inordertomitigateinter‐cellinterferencewithout compromisingdegreesoffreedomassociatedwiththetransmitsignals.Inthistutorial,we demonstratehowthesetechniquesmaybeincorporatedintothedesignofacellularsystem,andthe performancegainsresultingfromsuchasystemdesign.

T.1.2:SensorNetworks TutorialSpeaker:Dr.IanAkhilidz,Editor‐in‐Chief,AdHocNetworks,Elsevier Title:WirelessSensorNetworksinchallengedenvironmentssuchasunderwaterandunderground

Date:18.12.2011 Abstract: Oceanographicdatacollection,pollutionmonitoring,offshoreexploration,disasterprevention,assisted navigationandtacticalsurveillancearetypicalapplicationsforwirelessunderwatersensornetworks.In thistalkwirelessunderwaterchannelisexplored,novelmediumaccesscontrolandroutingprotocols willbepresented.Ontheotherhand,sensorapplicationsinsoilmediaandtunnelshaveunique communicationproblems.Inparticular,thewirelesschannelpecularitiesintheundergroundmake communicationproblemsinterestingwhichwillbediscussedinthistutorial.Futureresearchchallenges willbehighlightedinbothareas.

T.2.1:WirelessSensorNetworks TutorialSpeaker:Dr.RameshGovindan,Editor‐in‐ChiefIEEETransactionsonMobileComputing, ProfessorinComputerScience&ElectricalEngineering,UniversityofSouthernCalifornia,USA Title:WirelessSensorNetworks:ASystemsPerspective Date:18.12.2011

Abstract: Thistutorialwillcoveradecade'sworthofresearchinsensornetworktechnologiesandapplications, withafocusonsystemsissues.

T.2.2:WirelessDistributedSystems TutorialSpeaker:Dr.MaartenvanSteen,Chair&ProfessorDept.ofInformatics,ExtremeDistributed System,VU,Amsterdam,Netherlands Title:ExploringExtremeWirelessDistributedSystems

Date:18.12.2011

Abstract: Moderndistributedsystemsareincreasinglyrelyingoncomponentsthatneedtomakeuseofwireless technology.Examplesincludesubsystemsimplementedaswirelesssensornetworksorsubsystems makinguseofmobilecomputingplatforms.Inthistutorial,we'llbelookingcloserintowireless‐only distributedsystemsthatareextremeinoneorseveralofthefollowingdimensions:theirsizeinterms ofthenumberofnodes,theresourcelimitationsofthosenodes(memory,computepower,energy budget),ortheharshnessoftheirenvironment(lossychannels,mobility). Inparticular,we'llbediscussingissuesrelatedtoturningsuchextremedistributedsystemsintorobust ones,addressingquestionslike:howtosetupandmaintainingroutingpaths,howtoreliably disseminateinformation,andhowtorealizeverylargeultra‐lowduty‐cyclednetworks.Inthe meantime,wedrawexamplesfromsystemsthatareaimedatdirectlysupportinghumanbeings.

T.3.1:ContextAwareSystems TutorialSpeaker:Dr.AshokAgrawala,ProfessorofComputerScience,Director,TheMINDLaband TheMAXWellLab,UniversityofMaryland,USA Title:Context‐Aware,Event‐DrivenSystems

Date:18.12.2011

Abstract: Itiswellrecognizedthatcontextplaysasignificantroleinallhumanendeavors.Alldecisionsarebased oninformationwhichhastobeinterpretedincontext.Bymakingtheinformationsystemscontext‐ awarewecanhavesystemsthatsignificantlyimprovethehumancapabilitiestohandlesituations. Further,mostofthetime,wereacttoeventsthattakeplace.Weorganizeactivities,andgather

informationandresources,inresponseandhandletheeventinthecontextinwhichittakesplace.The challengecomesupwhenwedesignsystemsthatsupportourabilitiestohandleevents,anticipatedas wellasunanticipated.

InthistutorialbediscussthecurrentstateoftheartforContext‐awareSystems,Event‐drivenSystems andpresentsomeideastowardsthedesignandimplementationofContext‐aware,Event‐driven Systems.SomeexamplesofthesystemsbeingdevelopedanddeployedattheUniversityofMaryland willalsobepresented.

T.3.2:NetworkedSensorSystems TutorialSpeaker:Dr.SajalK.Das,Director,CenterforResearchinWirelessMobilityandNetworking (CReWMaN),DepartmentofComputerScienceandEngineering,UniversityTexasatArlington,USA Title:Cyber‐PhysicalandNetworkedSensorSystems:ChallengesandOpportunities

Date:18.12.2011

Abstract: Rapidadvancementsinembeddedsystems,sensorsandwirelesscommunicationtechnologieshaveled tothedevelopmentofcyber‐physicalsystems,pervasivecomputingandsmartenvironmentswith importantapplicationssuchassmartgrids,sustainability,healthcareandsecurity.Wirelesssensor networksplaysignificantroleinbuildingsuchsystemsastheycaneffectivelyactasthehuman‐physical interfacewiththedigitalworldthroughsensing,communication,computingandcontroloractuation. However,theinherentcharacteristicsofwirelesssensornetworks,typifiedbyresourceconstraints, highdegreeofuncertainty,heterogeneityanddistributedcontrolposesignificantchallenges.

Thistutorialwillprovideaguidedtourof(i)thecharacteristicsandapplicationsofcyber‐physical systemsandsensornetworks,(ii)associatedtechnicalchallengesandopportunities,and(iii)novel algorithmicframeworksandsolutionsfordatacollectionfromsensorstreams,sensordatafusion, multi‐modalcontextrecognition,andsituation‐awaredecisionmaking.Thecommongoalisto minimizeenergyconsumption(i.e.,maximizelifetime)andincreaseinformationaccuracy(i.e.,context quality)inwirelesssensornetworks.Thetutorialwillbeconcludedwithopenissuesandfuture directionsofresearch.

T.4.1:WirelessBodyAreaNetworks TutorialSpeaker:Dr.DineshBhatia,ProfessorinElectricalEngineeringDepartment,ErikJinsson SchoolofEngineeringandComputerScience,TheUniversityofTexasatDallas,USA

Date:18.12.2011 Title:BuildingReliableBodySensorNetworksforHealthcare

Abstract: Theideaofplacingsmallpervasivesensorsforquicklyandcontinuouslymonitoringavarietyofvitals signsholdstremendouspromiseinhealthcareapplications.Diseasemanagementrequirescontinuous monitoring,managingatriskpopulationalsorequirescontinuousandregularrecordingofrisk parameters,andempoweringgeneralpopulationwithadvancedmonitoringmethodprovides mechanismsforpreventivecareonaregularbasis.Inaddition,suchsensorscanbeinterfacedwith

wirelesstransceiversandfurtherconnectedwithgatewaydevices.Thisprovidesaverypowerful paradigminestablishingcontinuousconnectedhealthcaremodel.Thiscanbeusedtoconnectremote populationsforeffectivedeliveryofhealthcare. Thistalkwilladdressthedesignofverylowenergybodysensornetworks.Itwillprovidebasicsof designthatwillenablegeneralaudiencetounderstandtheareaofbodysensornetworks.Inaddition, thetalkwillintroducechallengingproblemsthatmustbesolvedforbuildingveryreliablenetworks. Sometheseissuesincludelowenergywirelessdesigns,propagationofRFnearandthroughhuman tissue,exactsensingmethods,andintegrationmethodstobuildhighlyubiquitousbodysensor networks.

T.4.2:WirelessDistributedComputing TutorialSpeaker:Dr.DilipKrishnaswamy,Sr.StaffSystemsEngineer,OfficeoftheChiefScientist, Qualcomm,SanDiego,USA Title:Emergingtopicsinm2msystemsandwirelessdistributedprocessing

Date:18.12.2011

Abstract: Itiswellrecognizedthatcontextplaysasignificantroleinallhumanendeavors.Alldecisionsarebased oninformationwhichhastobeinterpretedincontext.Bymakingtheinformationsystemscontext‐ awarewecanhavesystemsthatsignificantlyimprovethehumancapabilitiestohandlesituations. Further,mostofthetime,wereacttoeventsthattakeplace.Weorganizeactivities,andgather informationandresources,inresponseandhandletheeventinthecontextinwhichittakesplace.The challengecomesupwhenwedesignsystemsthatsupportourabilitiestohandleevents,anticipatedas wellasunanticipated.InthistutorialbediscussthecurrentstateoftheartforContext‐aware Systems,Event‐drivenSystemsandpresentsomeideastowardsthedesignandimplementationof Context‐aware,Event‐drivenSystems.Someexamplesofthesystemsbeingdevelopedanddeployedat theUniversityofMarylandwillalsobepresented.

T.5.1:WirelessSecurity TutorialSpeaker:Dr.SnehaKumarKasera,AssociateProfessor,SchoolofComputing,Universityof Utah,USA Title:WirelessNetworkSecurity

Date:19.12.2011

Abstract: Theneedforubiquitousnetworkaccessandservicesisfuelingtremendousgrowthofwireless technologies,networks,andapplications.Mobileandwirelessdevicesarebeingincreasinglyusedfora varietyofapplicationsincludingmultimedia,informationsearchandretrieval,entertainment,social, business,andmedicalapplications,andsensingandactuation,amongothers.However,thebroadcast natureofwirelesscommunications,wirelessdevicemobilityandresourcelimitations,havegivenriseto newersecuritychallenges.Anunderstandingofthesechallengesandpotentialsolutionsisnecessary fordesigningsecurewirelessandmobilesystemsandapplicationsand,attheveryleast,forincreasing userawareness.Inthistutorial,wewillfirstdescribesecuritytools,includingthecryptographicones,

andthenelaboratehowthesetoolscanbeusedtosecurewirelessnetworks.Specifically,wewill examinesecurityvulnerabilitiesandsolutionsrelatedtoauthentication,privatecommunication, anonymity,andjamming.WewillstrengthentheconceptswecoverwithexamplesfromWiFi networks,cellularnetworks,mobileadhocnetworks,andwirelesssensornetworks.Wewillalso presentsomeofthecommonlydeployedwirelesssecuritystandards.

T.6.1:MachineLearning TutorialSpeaker:(1)VenuGovindaraju,ProfessorofComputerScienceandEngineering,Universityat Buffalo,StateUniversityofNewYork,USA(2)AnuragBharadwaj,SeniorResearchScientist,eBay ResearchLabs,USA,(3)UtkarshPorwal,PhDStudent,UniversityatBuffalo,StateUniversityofNew York,USA Title:MachineLearningAlgorithmsanditsApplicationsinDistributedWirelessSensorNetworks

Date:20.12.2011

Abstract: WirelessSensorNetworks(WSNs)hasbeenappliedinvariousdomainssuchasenvironment monitoring,industryandhealthcareforvariouspurposes.WSNsareusedtointeractwiththe environmentandsendusefulinformationacrossthenetwork.Thesesensorsneedtokeeptrackof statesofothernodes,performadaptiveinformationextraction,andpredictlocationofmobilenodes foroptimumutilizationofresources.However,sensorsoftensufferfromproblemssuchasphysical constraints,lowbandwidthandineffectivecommunicationbetweendifferentnodeswhichleadsto errorandinefficiencyinthenetwork.Hence,WSNshaveinspiredresearchonmachinelearning techniquestoaddresstheselimitationswithmoregenericwaysofextractinginformationand discoveringrelations.Machinelearninghasalreadybeenusedtoaddressproblemssuchastomake inferencefromthedatabyextractingusefulfeatures,buildingsimilaritymatrices,mappingvector spacesofsignalsgivenbysensorswithphysicalspacesanddealingwithlargeamountofonline unlabeleddata.Differentlearningparadigmssuchassupervised,unsupervisedandreinforcement learninghasbeenusedtoaddresstheseissues.Moreover,classification,regressionandkernel techniqueshavebeenusedtosolveseveralproblemspertainingtoWSNs.OntheotherhandMachine learningandArtificialIntelligencecommunityhastakengreatinterestindistributedwirelesssensor networks.ApplicationssuchasroboticsandcontextawarecomputinghaveusedWSNsextensivelyfor moreintelligentandautomatedlearningprocess.Thistutorialintendstogivethecomprehensive overviewoffundamentalworkingandlimitationsofsuchmachinelearningalgorithmsandhighlightthe scopeoffutureresearchinthisareausingMachineLearning.

T.7.1:RadarCommunicationTechnology TutorialSpeaker:Dr.RamNarayanan,ProfessorofElectricalEngineering,ThePennsylvaniaState University,USA Title:HumanDetectionandCharacterizationthroughBarriers

Date:21.12.2011

Abstract: Thistutorialwillreviewandsummarisethecurrentstateofknowledgeintheareaofobscuredtarget detection.Thetalkwilladdressthephenomenologyandcharacteristicsofwavepropagationthrough

barriers,suchasground,walls,foliage,etc.,asafunctionoffrequencyandmaterialproperties. Techniquesfordetectingsuchobscuredtargetsusingradartechniqueswillbediscussed.Both conventionalandemergingwaveformswillbepresented.Detectionofhumanstrappedinearthquake debriswillalsobeaddressed.Thetutorialwillbesubdividedintothefollowingmainsections. PartIwilldescribedifferenttypesofradarwaveformsingeneraluse,bothconventionalandemerging. InPartII,wewilldiscusshowspecificwaveformsareaffectedbytheEMenvironmentandreviewthe limitationsofcurrenttechniques. InPartIII,wewillreviewemergingwaveformdesignsforoptimaltargetdetectioninenclosed structuresbehindbarriers. PartIVwillconcludebyprovidingdirectionsforfurtherresearch.