Faculty

Institution

Unit

Venue

Srihari Nelakuditi

Professor

University of South Carolina

Affiliations

College of Engineering and Computing

Department of Computer Science and Engineering

Molinaroli College of Engineering and Computing

Department of Computer Science and Engineering

Srihari Nelakuditi is currently serving as a College Of Engineering And Computing Professor at University of South Carolina.

Honors

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Experiences

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Education

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Srihari Nelakuditi

University of South Carolina

Professor

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computer science wireless communications systems engineering wireless networks communications systems mobile computing electrical engineering telecommunication networks transmission ubiquitous computing computer engineering networked system design network routing mobile sensing internet of things wireless sensor networks network analysis localization network routing algorithm network science wireless personal communication quality-of-service human-computer interaction vehicular technology channel access method network communication protocols wireless routing distributed systems intelligent vehicles network management fault management accelerometers millimeter wave technology ofdm subcarriers service management physiological measurements routing protocols opportunistic networks cross-layer design wireless computing data communications network optimization mobile communication cooperative wireless communications frequency domain successive interference cancellation wifi aps multimedia retrieval mobility machine vision semantic web wireless network management interference cancellation cross-layer optimization localization technique indoor positioning systems communication algorithm dynamic spectrum management spectrum management location information collision notification opportunistic routing automatic image image tagging link order order matters collision detection robust routing delay-tolerant networking radio access protocol transient link failures resilient routing chosen subcarrier adaptive proportional routing localized qos opportunistic anypath forwarding technology

Notable Scholarly Works

Notable Federal Grants

Collaborators

Advancing Objective Mobile Device Use Measurement in Children Ages 6–11 Through Built-in Device Sensors: A Proof-Of-Concept Study. Human Behavior and Emerging Technologies (2024)

Olivia L. FinneganR. Glenn WeaverHongpeng YangJames W. WhiteSrihari NelakuditiZifei ZhongRahul GhosalYan TongAliye B. CepniElizabeth L. AdamsSarah BurkartMichael W. BeetsBridget Armstrong

pediatricshuman behaviorbuilt-in device sensorschild developmentproof-of-concept studybehavioral sciences

AQUILO: Temperature-Aware Scheduler for Millimeter-Wave Devices and Networks. High-Confidence Computing (2024)

Moh Sabbir SaadatSanjib SurSrihari Nelakuditi

computer sciencemillimeter-wave devicesengineeringscientific computingelectrical engineeringmodeling and simulationthermal managementscheduling (computing)temperature-aware schedulermillimeter wave technology

Comparison of Raw Accelerometry Data From Actigraph, Apple Watch, Garmin, and Fitbit Using a Mechanical Shaker Table. PLoS ONE (2024)

James W. WhiteOlivia L. FinneganNick TindallSrihari NelakuditiDavid E. BrownRussell R. PateGregory J. WelkMassimiliano de ZambottiRahul GhosalYuan WangSarah BurkartElizabeth L. AdamsMvs ChandrashekharBridget ArmstrongMichael W. BeetsR. Glenn Weaver

accelerometersphysical activitymechanical shaker tableapple watchcomparative analysisbiometricsraw accelerometry datadata scienceapplied statisticshealth sciencesstatistics

Discourse- and Lesion-Based Aphasia Quotient Estimation Using Machine Learning. NeuroImage Clinical (2024)

Nicholas RiccardiSatvik NelakuditiDirk B. den OudenChris RordenJulius FridrikssonRutvik H. Desai

neurologyaphasiabrain lesionneurolinguisticsbrain imagingclinical neurologycognitive neuroscienceneurosciencediscourse analysismedicinecomputational neuroscienceneuroimaging

Jerks Are Useful: Extracting Pulse Rate From Wrist-Placed Accelerometry Jerk During Sleep in Children. SLEEP (2024)

R Glenn WeaverMVS ChandrashekharBridget ArmstrongJames W White IIIOlivia FinneganAliye B CepniSarah BurkartMichael BeetsElizabeth L AdamsMassimiliano de ZambottiGregory J WelkSrihari NelakuditiDavid Brown IIIRuss PateYuan WangRahul GhosalZifei ZhongHongpeng Yang

sleep medicineaccelerometersphysiologysleephuman movementelectrophysiologyneuroscienceneurophysiologyphysiological measurementsmovement analysispulse ratehuman physiology

POSTER: Autosense: Reliable 3D Bounding Box Prediction for Vehicles. (2024)

Hem RegmiReza TavasoliJoseph TelaakSanjib SurSrihari Nelakuditi

3d computer visionsystems engineeringcomputer vision

The Utility of Behavioral Biometrics in User Authentication and Demographic Characteristic Detection: A Scoping Review. Systematic Reviews (2024)

O. L. FinneganJ. W. WhiteB. ArmstrongE. L. AdamsS. BurkartM. W. BeetsS. NelakuditiE. A. WillisL. von KlinggraeffH. ParkerM. BastyrX. ZhuZ. ZhongR. G. Weaver

user authenticationbehavioral biometricsscoping reviewbiometricsdemographic characteristic detectionbehavioral sciences

0280 Unlocking the Potential of Consumer Wearables for Predicting Sleep in Children: A Device-Agnostic Machine Learning Approach. SLEEP (2023)

Xiangyu HuHongpeng YangJames WhiteSrihari NelakuditiRahul GhosalYan TongGlenn WeaverOlivia Finnegan

sleepconsumer wearableshealth sciencesmachine learning

A Device Agnostic Approach to Predict Children's Activity From Consumer Wearable Accelerometer Data: A Proof-Of-Concept Study. Medicine & Science in Sports & Exercise (2023)

R. GLENN WEAVERJAMES WHITEOLIVIA FINNEGANSRIHARI NELAKUDITIXUANXUAN ZHUSARAH BURKARTMICHAEL BEETSTREY BROWNRUSS PATEGREGORY J. WELKMASSIMILIANO DE ZAMBOTTIRAHUL GHOSALYUAN WANGBRIDGET ARMSTRONGELIZABETH L. ADAMSLAYTON REESOR-OYERCHRISTOPHER D. PFLEDDERERMEGHAN BASTYRLAUREN VON KLINGGRAEFFHANNAH PARKER

accelerometerswearable technologysport sciencetechnologyphysical activitysport medicineexercise sciencebiometricsmedicineactivity recognitionproof-of-concept studyhealth sciences

Communication for Underwater Robots: Recent Trends. Current Robotics Reports (2023)

Alberto Quattrini LiCharles J CarverQijia ShaoXia ZhouSrihari Nelakuditi

communicationrobotics

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Srihari Nelakuditi

Professor

University of South Carolina

Affiliations

College of Engineering and Computing

Department of Computer Science and Engineering

Molinaroli College of Engineering and Computing

Department of Computer Science and Engineering

Srihari Nelakuditi is currently serving as a College Of Engineering And Computing Professor at University of South Carolina.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Srihari Nelakuditi

University of South Carolina

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Advancing Objective Mobile Device Use Measurement in Children Ages 6–11 Through Built-in Device Sensors: A Proof-Of-Concept Study. Human Behavior and Emerging Technologies (2024)

Olivia L. FinneganR. Glenn WeaverHongpeng YangJames W. WhiteSrihari NelakuditiZifei ZhongRahul GhosalYan TongAliye B. CepniElizabeth L. AdamsSarah BurkartMichael W. BeetsBridget Armstrong

pediatricshuman behaviorbuilt-in device sensorschild developmentproof-of-concept studybehavioral sciences

AQUILO: Temperature-Aware Scheduler for Millimeter-Wave Devices and Networks. High-Confidence Computing (2024)

Moh Sabbir SaadatSanjib SurSrihari Nelakuditi

Comparison of Raw Accelerometry Data From Actigraph, Apple Watch, Garmin, and Fitbit Using a Mechanical Shaker Table. PLoS ONE (2024)

accelerometersphysical activitymechanical shaker tableapple watchcomparative analysisbiometricsraw accelerometry datadata scienceapplied statisticshealth sciencesstatistics

Discourse- and Lesion-Based Aphasia Quotient Estimation Using Machine Learning. NeuroImage Clinical (2024)

Nicholas RiccardiSatvik NelakuditiDirk B. den OudenChris RordenJulius FridrikssonRutvik H. Desai

neurologyaphasiabrain lesionneurolinguisticsbrain imagingclinical neurologycognitive neuroscienceneurosciencediscourse analysismedicinecomputational neuroscienceneuroimaging

Jerks Are Useful: Extracting Pulse Rate From Wrist-Placed Accelerometry Jerk During Sleep in Children. SLEEP (2024)

sleep medicineaccelerometersphysiologysleephuman movementelectrophysiologyneuroscienceneurophysiologyphysiological measurementsmovement analysispulse ratehuman physiology

POSTER: Autosense: Reliable 3D Bounding Box Prediction for Vehicles. (2024)

Hem RegmiReza TavasoliJoseph TelaakSanjib SurSrihari Nelakuditi

3d computer visionsystems engineeringcomputer vision

The Utility of Behavioral Biometrics in User Authentication and Demographic Characteristic Detection: A Scoping Review. Systematic Reviews (2024)

O. L. FinneganJ. W. WhiteB. ArmstrongE. L. AdamsS. BurkartM. W. BeetsS. NelakuditiE. A. WillisL. von KlinggraeffH. ParkerM. BastyrX. ZhuZ. ZhongR. G. Weaver

user authenticationbehavioral biometricsscoping reviewbiometricsdemographic characteristic detectionbehavioral sciences

0280 Unlocking the Potential of Consumer Wearables for Predicting Sleep in Children: A Device-Agnostic Machine Learning Approach. SLEEP (2023)

Xiangyu HuHongpeng YangJames WhiteSrihari NelakuditiRahul GhosalYan TongGlenn WeaverOlivia Finnegan

sleepconsumer wearableshealth sciencesmachine learning

A Device Agnostic Approach to Predict Children's Activity From Consumer Wearable Accelerometer Data: A Proof-Of-Concept Study. Medicine & Science in Sports & Exercise (2023)

accelerometerswearable technologysport sciencetechnologyphysical activitysport medicineexercise sciencebiometricsmedicineactivity recognitionproof-of-concept studyhealth sciences

Communication for Underwater Robots: Recent Trends. Current Robotics Reports (2023)

Alberto Quattrini LiCharles J CarverQijia ShaoXia ZhouSrihari Nelakuditi

communicationrobotics

1
2
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5
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10 / page

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electrical engineering

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mobile communication vehicle

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industrial informatics

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mobile communication

next generation internet