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

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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

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INTERNATIONALCONFERENCEONWIRELESSTECHNOLOGIESFORHUMANITARIANRELIEFACWR2011T.1.1:WirelessCellularNetworksTutorialSpeaker:Dr.NagabhushanaSindhushayana,VicePresidentofTechnology,Qualcomm,USATitle:HeterogeneityandMulticellCooperationinWirelessCellularNetworksDate:18.12.2011
Abstract:Theperformanceofmosturbancellularnetworksislimitedbyintercellinterference.Thisisparticularlytrueofacellularnetworkwithheterogeneousinfrastructure,whereinthesamespectrumissharedbydifferenttypesofbasestationssuchasmacrocells,picocells,femtocellsandrelays.Performanceofsuchdense/heterogeneousdeploymentsmaybegreatlyenhancedthroughtheuseofsmartassociationtechniques,coupledwithadaptiveinterferencemanagement.Unliketraditionalcellularsystemswhereassociationispredominantlybasedonmaximizingsignalqualitybetweenthebasestationandtheuser,asmartassociationschemeinaheterogeneousnetworkshouldbebasedonseveraladditionalcriteriasuchasaggressiveloadbalancing,pathlossminimization,orminimizationofinterferencetootherlinks.Aggressiveloadbalancing(inparticular)requiresadvancedinterferencemanagement,whichcanmayberealizedthrough(soft)resourcepartitioning,beamcoordinationorjointsignalprocessingatthebasestations.Multicellsignalprocessing(ordistributedMIMO)canbeusedinhomogeneousnetworksaswell,inordertomitigateintercellinterferencewithoutcompromisingdegreesoffreedomassociatedwiththetransmitsignals.Inthistutorial,wedemonstratehowthesetechniquesmaybeincorporatedintothedesignofacellularsystem,andtheperformancegainsresultingfromsuchasystemdesign.
T.1.2:SensorNetworksTutorialSpeaker:Dr.IanAkhilidz,EditorinChief,AdHocNetworks,ElsevierTitle:WirelessSensorNetworksinchallengedenvironmentssuchasunderwaterandunderground
Date:18.12.2011Abstract:Oceanographicdatacollection,pollutionmonitoring,offshoreexploration,disasterprevention,assistednavigationandtacticalsurveillancearetypicalapplicationsforwirelessunderwatersensornetworks.Inthistalkwirelessunderwaterchannelisexplored,novelmediumaccesscontrolandroutingprotocolswillbepresented.Ontheotherhand,sensorapplicationsinsoilmediaandtunnelshaveuniquecommunicationproblems.Inparticular,thewirelesschannelpecularitiesintheundergroundmakecommunicationproblemsinterestingwhichwillbediscussedinthistutorial.Futureresearchchallengeswillbehighlightedinbothareas.
T.2.1:WirelessSensorNetworksTutorialSpeaker:Dr.RameshGovindan,EditorinChiefIEEETransactionsonMobileComputing,ProfessorinComputerScience&ElectricalEngineering,UniversityofSouthernCalifornia,USATitle:WirelessSensorNetworks:ASystemsPerspectiveDate:18.12.2011
Abstract:Thistutorialwillcoveradecade'sworthofresearchinsensornetworktechnologiesandapplications,withafocusonsystemsissues.
T.2.2:WirelessDistributedSystemsTutorialSpeaker:Dr.MaartenvanSteen,Chair&ProfessorDept.ofInformatics,ExtremeDistributedSystem,VU,Amsterdam,NetherlandsTitle:ExploringExtremeWirelessDistributedSystems
Date:18.12.2011
Abstract:Moderndistributedsystemsareincreasinglyrelyingoncomponentsthatneedtomakeuseofwirelesstechnology.Examplesincludesubsystemsimplementedaswirelesssensornetworksorsubsystemsmakinguseofmobilecomputingplatforms.Inthistutorial,we'llbelookingcloserintowirelessonlydistributedsystemsthatareextremeinoneorseveralofthefollowingdimensions:theirsizeintermsofthenumberofnodes,theresourcelimitationsofthosenodes(memory,computepower,energybudget),ortheharshnessoftheirenvironment(lossychannels,mobility).Inparticular,we'llbediscussingissuesrelatedtoturningsuchextremedistributedsystemsintorobustones,addressingquestionslike:howtosetupandmaintainingroutingpaths,howtoreliablydisseminateinformation,andhowtorealizeverylargeultralowdutycyclednetworks.Inthemeantime,wedrawexamplesfromsystemsthatareaimedatdirectlysupportinghumanbeings.
T.3.1:ContextAwareSystemsTutorialSpeaker:Dr.AshokAgrawala,ProfessorofComputerScience,Director,TheMINDLabandTheMAXWellLab,UniversityofMaryland,USATitle:ContextAware,EventDrivenSystems
Date:18.12.2011
Abstract:Itiswellrecognizedthatcontextplaysasignificantroleinallhumanendeavors.Alldecisionsarebasedoninformationwhichhastobeinterpretedincontext.Bymakingtheinformationsystemscontextawarewecanhavesystemsthatsignificantlyimprovethehumancapabilitiestohandlesituations.Further,mostofthetime,wereacttoeventsthattakeplace.Weorganizeactivities,andgather
informationandresources,inresponseandhandletheeventinthecontextinwhichittakesplace.Thechallengecomesupwhenwedesignsystemsthatsupportourabilitiestohandleevents,anticipatedaswellasunanticipated.
InthistutorialbediscussthecurrentstateoftheartforContextawareSystems,EventdrivenSystemsandpresentsomeideastowardsthedesignandimplementationofContextaware,EventdrivenSystems.SomeexamplesofthesystemsbeingdevelopedanddeployedattheUniversityofMarylandwillalsobepresented.
T.3.2:NetworkedSensorSystemsTutorialSpeaker:Dr.SajalK.Das,Director,CenterforResearchinWirelessMobilityandNetworking(CReWMaN),DepartmentofComputerScienceandEngineering,UniversityTexasatArlington,USATitle:CyberPhysicalandNetworkedSensorSystems:ChallengesandOpportunities
Date:18.12.2011
Abstract:Rapidadvancementsinembeddedsystems,sensorsandwirelesscommunicationtechnologieshaveledtothedevelopmentofcyberphysicalsystems,pervasivecomputingandsmartenvironmentswithimportantapplicationssuchassmartgrids,sustainability,healthcareandsecurity.Wirelesssensornetworksplaysignificantroleinbuildingsuchsystemsastheycaneffectivelyactasthehumanphysicalinterfacewiththedigitalworldthroughsensing,communication,computingandcontroloractuation.However,theinherentcharacteristicsofwirelesssensornetworks,typifiedbyresourceconstraints,highdegreeofuncertainty,heterogeneityanddistributedcontrolposesignificantchallenges.
Thistutorialwillprovideaguidedtourof(i)thecharacteristicsandapplicationsofcyberphysicalsystemsandsensornetworks,(ii)associatedtechnicalchallengesandopportunities,and(iii)novelalgorithmicframeworksandsolutionsfordatacollectionfromsensorstreams,sensordatafusion,multimodalcontextrecognition,andsituationawaredecisionmaking.Thecommongoalistominimizeenergyconsumption(i.e.,maximizelifetime)andincreaseinformationaccuracy(i.e.,contextquality)inwirelesssensornetworks.Thetutorialwillbeconcludedwithopenissuesandfuturedirectionsofresearch.
T.4.1:WirelessBodyAreaNetworksTutorialSpeaker:Dr.DineshBhatia,ProfessorinElectricalEngineeringDepartment,ErikJinssonSchoolofEngineeringandComputerScience,TheUniversityofTexasatDallas,USA
Date:18.12.2011Title:BuildingReliableBodySensorNetworksforHealthcare
Abstract:Theideaofplacingsmallpervasivesensorsforquicklyandcontinuouslymonitoringavarietyofvitalssignsholdstremendouspromiseinhealthcareapplications.Diseasemanagementrequirescontinuousmonitoring,managingatriskpopulationalsorequirescontinuousandregularrecordingofriskparameters,andempoweringgeneralpopulationwithadvancedmonitoringmethodprovidesmechanismsforpreventivecareonaregularbasis.Inaddition,suchsensorscanbeinterfacedwith
wirelesstransceiversandfurtherconnectedwithgatewaydevices.Thisprovidesaverypowerfulparadigminestablishingcontinuousconnectedhealthcaremodel.Thiscanbeusedtoconnectremotepopulationsforeffectivedeliveryofhealthcare.Thistalkwilladdressthedesignofverylowenergybodysensornetworks.Itwillprovidebasicsofdesignthatwillenablegeneralaudiencetounderstandtheareaofbodysensornetworks.Inaddition,thetalkwillintroducechallengingproblemsthatmustbesolvedforbuildingveryreliablenetworks.Sometheseissuesincludelowenergywirelessdesigns,propagationofRFnearandthroughhumantissue,exactsensingmethods,andintegrationmethodstobuildhighlyubiquitousbodysensornetworks.
T.4.2:WirelessDistributedComputingTutorialSpeaker:Dr.DilipKrishnaswamy,Sr.StaffSystemsEngineer,OfficeoftheChiefScientist,Qualcomm,SanDiego,USATitle:Emergingtopicsinm2msystemsandwirelessdistributedprocessing
Date:18.12.2011
Abstract:Itiswellrecognizedthatcontextplaysasignificantroleinallhumanendeavors.Alldecisionsarebasedoninformationwhichhastobeinterpretedincontext.Bymakingtheinformationsystemscontextawarewecanhavesystemsthatsignificantlyimprovethehumancapabilitiestohandlesituations.Further,mostofthetime,wereacttoeventsthattakeplace.Weorganizeactivities,andgatherinformationandresources,inresponseandhandletheeventinthecontextinwhichittakesplace.Thechallengecomesupwhenwedesignsystemsthatsupportourabilitiestohandleevents,anticipatedaswellasunanticipated.InthistutorialbediscussthecurrentstateoftheartforContextawareSystems,EventdrivenSystemsandpresentsomeideastowardsthedesignandimplementationofContextaware,EventdrivenSystems.SomeexamplesofthesystemsbeingdevelopedanddeployedattheUniversityofMarylandwillalsobepresented.
T.5.1:WirelessSecurityTutorialSpeaker:Dr.SnehaKumarKasera,AssociateProfessor,SchoolofComputing,UniversityofUtah,USATitle:WirelessNetworkSecurity
Date:19.12.2011
Abstract:Theneedforubiquitousnetworkaccessandservicesisfuelingtremendousgrowthofwirelesstechnologies,networks,andapplications.Mobileandwirelessdevicesarebeingincreasinglyusedforavarietyofapplicationsincludingmultimedia,informationsearchandretrieval,entertainment,social,business,andmedicalapplications,andsensingandactuation,amongothers.However,thebroadcastnatureofwirelesscommunications,wirelessdevicemobilityandresourcelimitations,havegivenrisetonewersecuritychallenges.Anunderstandingofthesechallengesandpotentialsolutionsisnecessaryfordesigningsecurewirelessandmobilesystemsandapplicationsand,attheveryleast,forincreasinguserawareness.Inthistutorial,wewillfirstdescribesecuritytools,includingthecryptographicones,
andthenelaboratehowthesetoolscanbeusedtosecurewirelessnetworks.Specifically,wewillexaminesecurityvulnerabilitiesandsolutionsrelatedtoauthentication,privatecommunication,anonymity,andjamming.WewillstrengthentheconceptswecoverwithexamplesfromWiFinetworks,cellularnetworks,mobileadhocnetworks,andwirelesssensornetworks.Wewillalsopresentsomeofthecommonlydeployedwirelesssecuritystandards.
T.6.1:MachineLearningTutorialSpeaker:(1)VenuGovindaraju,ProfessorofComputerScienceandEngineering,UniversityatBuffalo,StateUniversityofNewYork,USA(2)AnuragBharadwaj,SeniorResearchScientist,eBayResearchLabs,USA,(3)UtkarshPorwal,PhDStudent,UniversityatBuffalo,StateUniversityofNewYork,USATitle:MachineLearningAlgorithmsanditsApplicationsinDistributedWirelessSensorNetworks
Date:20.12.2011
Abstract:WirelessSensorNetworks(WSNs)hasbeenappliedinvariousdomainssuchasenvironmentmonitoring,industryandhealthcareforvariouspurposes.WSNsareusedtointeractwiththeenvironmentandsendusefulinformationacrossthenetwork.Thesesensorsneedtokeeptrackofstatesofothernodes,performadaptiveinformationextraction,andpredictlocationofmobilenodesforoptimumutilizationofresources.However,sensorsoftensufferfromproblemssuchasphysicalconstraints,lowbandwidthandineffectivecommunicationbetweendifferentnodeswhichleadstoerrorandinefficiencyinthenetwork.Hence,WSNshaveinspiredresearchonmachinelearningtechniquestoaddresstheselimitationswithmoregenericwaysofextractinginformationanddiscoveringrelations.Machinelearninghasalreadybeenusedtoaddressproblemssuchastomakeinferencefromthedatabyextractingusefulfeatures,buildingsimilaritymatrices,mappingvectorspacesofsignalsgivenbysensorswithphysicalspacesanddealingwithlargeamountofonlineunlabeleddata.Differentlearningparadigmssuchassupervised,unsupervisedandreinforcementlearninghasbeenusedtoaddresstheseissues.Moreover,classification,regressionandkerneltechniqueshavebeenusedtosolveseveralproblemspertainingtoWSNs.OntheotherhandMachinelearningandArtificialIntelligencecommunityhastakengreatinterestindistributedwirelesssensornetworks.ApplicationssuchasroboticsandcontextawarecomputinghaveusedWSNsextensivelyformoreintelligentandautomatedlearningprocess.ThistutorialintendstogivethecomprehensiveoverviewoffundamentalworkingandlimitationsofsuchmachinelearningalgorithmsandhighlightthescopeoffutureresearchinthisareausingMachineLearning.
T.7.1:RadarCommunicationTechnologyTutorialSpeaker:Dr.RamNarayanan,ProfessorofElectricalEngineering,ThePennsylvaniaStateUniversity,USATitle:HumanDetectionandCharacterizationthroughBarriers
Date:21.12.2011
Abstract:Thistutorialwillreviewandsummarisethecurrentstateofknowledgeintheareaofobscuredtargetdetection.Thetalkwilladdressthephenomenologyandcharacteristicsofwavepropagationthrough
barriers,suchasground,walls,foliage,etc.,asafunctionoffrequencyandmaterialproperties.Techniquesfordetectingsuchobscuredtargetsusingradartechniqueswillbediscussed.Bothconventionalandemergingwaveformswillbepresented.Detectionofhumanstrappedinearthquakedebriswillalsobeaddressed.Thetutorialwillbesubdividedintothefollowingmainsections.PartIwilldescribedifferenttypesofradarwaveformsingeneraluse,bothconventionalandemerging.InPartII,wewilldiscusshowspecificwaveformsareaffectedbytheEMenvironmentandreviewthelimitationsofcurrenttechniques.InPartIII,wewillreviewemergingwaveformdesignsforoptimaltargetdetectioninenclosedstructuresbehindbarriers.PartIVwillconcludebyprovidingdirectionsforfurtherresearch.
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