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Research Statement

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ResearchStatement

RajeshKrishnaBalan

rajesh@cs.cmu.edu

http://www.cs.cmu.edu/˜rajesh/research/

Myinterestslieattheintersectionofmobilecomputing,operatingsystems,softwareengineering,andusability

testing.Mythesisresearchhasconcentratedontheproblemofallowinglargecomputationallyintensiveapplications

torunonresourcelimitedmobiledevicessuchascellphones,PDAs,andwristwatches.Inadditiontothiswork,I

havealsodevelopedadistributedinfrastructuretosupportmassivelymultiplayeronlinegamesanddesignedvarious

extensionstoTCPthatmakeiteithermoreenergyefficientorworkbetterinwirelessenvironments.

1ResearchPhilosophy

Myresearchphilosophyrevolvesaroundthebeliefthatsuccessfulsystemsresearchhastodemonstratetwothings:1)

anovelandinterestingapproachtoanimportantresearchproblem,and2)usability.Istronglybelievethatforasystem

tobesuccessful,ithastobeusablebythetargetaudience.Ontheotherhand,ahighlyusablesystemthatdoesn’t

advancethestateoftheartinanywayisnotparticularlyinterestingfromaresearchperspectiveeither.

Myresearchstyleisstronglysystems-orientedwithalargeemphasisonhands-onsystemimplementation.A

realimplementationiscrucial,inmyopinion,fortestingcomplicateddistributedsystemsasthecomplexityinherent

inthesesystemsisincrediblyhardtocapturebysimulationstudiesalone.Arealimplementationisalsovitalin

validatingtheusabilityofthesystem.Inaddition,thesoftwareartifactsfromsuchimplementationsareimportant

contributionsthatdrivefutureresearchandevenproductdevelopmentinthearea.Iamalsoastrongproponentof

collaborativeresearch.Modernsystemsaresocomplicatedthatitisimpossibleforonepersontohavealltheanswers

toeveryproblemencountered.Assuch,Itendtoworkwithabout2-4otherpeople,eachwithslightlydifferentskills

andbackgrounds,totacklealargesystemsproblem.

ThisphilosophyandstyleisevidentinalltheresearchprojectsIhavebeeninvolvedwith.Forexample,mythesis

usesanovelinsight,calledtactics,tobuildapowerfulremoteexecutionsystem,calledChroma,formobiledevices.

ChromausesremoteexecutiontoallowlargeapplicationstorunonlimitedmobiledevicesandIconductednumerous

experimentstovalidateitsperformance.Inaddition,Ialsodevelopedasoftwareengineeringprocess,calledRapidRe,

thatallowssoftwaredeveloperstorapidlyretargettheirapplicationstouseChroma.TovalidateRapidRe,Iconducted,

usingHumanComputerInteractiontechniques,arigoroussoftwareusabilitystudy.

Ibelievethatmyskillsetofarigoroussystemsbackgroundcoupledwithsoftwareengineeringanddetailedusabil-

itytestingexperienceleavemeuniquelyplacedtodevelopnovelhighperformancesoftwaresystemsthatareprovably

usablebydevelopersandendusers.Thenextfewsectionsdescribesomeofmyrecentwork.

2ADynamicAdaptiveRuntimeSystemforMobileComputing

Akeychallengeinmobilecomputingistoenableresourcelimitedmobiledevicestorunlargecomputationallyinten-

sive,yethighlyuseful,applicationssuchaslanguagetranslatorsandspeechrecognizers.Onesolutionistouseremote

executiontoaugmenttheresourcecapabilitiesofthesemobiledevices.Formythesis,Iaddressedthefollowingtwo

keyresearchquestionsinvolvedinbuildingaremoteexecutionsystemformobiledevices:

•Whataretheviablewaystopartitionanapplicationforremoteexecution?

•Atruntime,howshouldwedecidewhichoftheviablepartitionsshouldbeselected?Thefirstproblemwastodeterminetheviablepartitionsofanapplication.Ingeneral,anapplicationcanbe

partitionedinarbitrarilymanyways.Clearly,arbitrarypartitioningisintractableinpracticeforadynamicruntime

system.However,acarefulstudyofalargeclassofusefulmobileapplicationsrevealedthatthenumberofuseful

applicationpartitionsisactuallyverysmall.Thesepartitionsareusefulbecausea)theypartitionthecomputationally

intensiveportionsoftheapplication,andb)theyarelargeenoughtoamortizethepartitioningoverheads.Icallthese

usefulpartitionsthetacticsofanapplication.Thesetacticsdifferintheamountofresourcestheyuseandinapplication

quality.Forexample,tacticAmayrequirelessmemorythantacticBbutgeneratealessaccurateresult.

However,howcananapplication’stacticsbeidentified?Doweneedtoexaminelargeamountsofapplication

codetoidentifythesesmallnumberoftactics?Fortunately,thisisnotthecase.Myexperimentshaveshownthat

applicationdeveloperscanspecifythetacticsforlargeunfamiliarapplicationsinaveryshortamountoftime.Tactics

makedynamicallydecidingtheappropriateapplicationpartitioningatractableproposition.Toutilizethiscapability,I

builtanadaptiveruntimesystemformobiledevices,calledChroma,thatdynamicallypartitionslargeapplications.

AttheheartofChromaisasmartsolverthatdecidesatruntimewhichapplicationtactictouse.Thesolveruses

threeinputs(inadditiontothelistoftactics)tomakeitsdecision.First,itusesanumberofresourcemeasurersto

obtainthecurrentresourceavailabilityintheenvironment.Forexample,thenumberofavailableremoteserversand

theavailablememoryandCPUcyclesoneachoftheseservers.Next,thesolverpredictstheresourceusageofthe

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研师兄英语二作文模板

研师兄英语二作文模板

研师兄英语二作文模板

英文回答：

Research Statement: Pursuing the Frontiers of

Artificial Intelligence for Personalized Healthcare。

Introduction:

State the motivation for pursuing research in AI for

personalized healthcare, highlighting the urgent need for

tailored treatments and improved patient outcomes.

Briefly discuss the current state of AI in healthcare,

its limitations, and opportunities for advancement.

Research Objectives:

Define the specific research objectives, including:

Developing novel AI algorithms for personalized patient risk assessment and prediction.

Creating AI-driven systems for automated diagnosis

and treatment planning.

Exploring the potential of AI for personalized

drug discovery and delivery.

Methodology:

Describe the proposed research methodology, providing

Research-Report

Research-Report

Research-Report

1 / 5 Research Report

----about Table Manners

This report has been divided into six parts:

Part one: Team Basic Information.

Part two: Main Introduction.

Part three: Summary of Methods.

Part four: Research Progress.

Part five: Data Analysis.

Part six: Results and Gains.

Part seven: Conclusions(including findings, limitations, suggestions).

Part one: Team Basic Information.

Project title: Table Manners.

Project time: 20th.Aug.2013----12th.Sep.2013.

Team leader: Xinmeng Wei.

Team members: Haolun Chu, Wenjie Ge, Tao Li. We

Part two: Main Introduction

During the summer semester, we four people together have collaborated in a

English project studying about table manners. Four team members come from two

different departments including Economic and Management Department and Math

Research Research and Teaching Statement

Research Research and Teaching Statement

ResearchandTeachingStatement

LewisD.Girod

December,2005

Research

Myresearchinterestsarefocusedonembeddedsensorandactuatornetworks.Thesesys-

temshavemuchincommonwithpreviousworkinnetworkinganddistributedsystems,but

theirapplicationsmotivatedifferentdesignchoices.Whereastraditionaldistributedsys-

temsapplicationstendtobevirtualandtendtoemphasizenetworktransparency,embedded

sensorsystemsaretiedtothephysicalworld,bothbytheirembeddednatureandbytheir

application.

Couplingthesystemandtheapplicationtothephysicalworldopensuparichnew

applicationspaceinwhichresultsfrommanyfieldsmaybeapplied,includingdistributed

systems,signalprocessing,controlsystems,androbotics.Inmyinitialexplorationofthis

space,Ihavefoundthatphysicalcouplinghasabroadimpactonthewaytheseresultsare

appliedandadapted:forexample,aphysicallycoupledsystemisconcernedaboutspatial

Researchstatement

Researchstatement

Research statement

E. Glen Weyl

April 2014

My research focuses on two areas, price theory and welfare economics. My most recent

and ambitious project on “Quadratic Voting” fuses these two streams.

Price theory

My work in price theory shows how the impacts of interventions in models with rich

heterogeneity and strategic interactions may be summarized by intuitive and empirically

tractable summary statistics (i.e. prices). My best-known paper, “A Price Theory of

Multisided Platforms,” shows that the complex coordination problems facing models of

“platforms” on which different types of consumers interact can be simplified if firms use

appropriate reduced-form dynamic pricing strategies to avoid coordination failures. These

“insulated” pricing strategies involve firms charging low prices until they reach critical mass.