Faculty

Institution

Unit

Venue

Justin Morris

California State University, San Marcos

Affiliations

California State University, San Marcos

College of Science, Technology, Engineering and Mathematics

Department Of Computer Science And Engineering

Department Of Electrical And Computer Engineering

Department Of Computer Science And Information Science

Justin Morris is a Senior Professor at California State University, San Marcos. His research centers on brain-inspired hyperdimensional computing (HDC), machine learning, and intelligent systems engineering, with a focus on energy-efficient on-chip learning and in-memory computing architectures. Recent breakthroughs include Tri-HD, an energy-efficient on-chip learning framework using in-memory HDC, and PIONEER, a highly efficient HDC method employing learned projections. His applied work spans lightweight glioma grading, noise-resilient pressure mat systems for human activity recognition, and AI-based detection of subsynchronous oscillations in wind farms. He has also contributed to public health research, co-authoring a Lancet Regional Health study on wastewater and surface monitoring for COVID-19 detection in elementary schools. His work integrates hardware-software co-design with practical IoT and biomedical applications.

Honors

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Experiences

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Education

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Justin Morris

California State University, San Marcos

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computer science machine learning systems engineering neuroscience electrical engineering deep learning computational neuroscience intelligent computing brain-like computing hyperdimensional computing brain-inspired hyperdimensional computing internet of things environmental monitoring covid-19 optoelectronics computer vision computer-aided design scientific computing threat detection surface monitoring environmental safety infection control distributed systems soft computing mobile computing thermal engineering information technology data privacy computational imaging data security offshore mechanics turbomachinery medical image computing adaptive learning adaptive computing training systems model compression warning system disease surveillance embedded machine learning online learning digital learning distributed intelligence in-memory computing high performance computing high-throughput computing real-time computing data-intensive computing sensor arrays engineering noise control smart sensors sensor technology sensor design cognitive computing supervised learning classification method data hiding privacy protection privacy management privacy system differential privacy neuroinformatics dna sequencing adaptive efficient training iot applications elementary schools observational study school early alert sensitivity increases elementary school settings efficient hyper-dimensional computing model quantization locality-based encoder neural networks flash hierarchy adaptive model bitwidth

Notable Scholarly Works

Notable Federal Grants

Collaborators

Lightweight and Generalizable Glioma Grading Using Hyperdimensional Computing. Communications in computer and information science (2026)

medical image computingbiomedical data analysiscomputational sciencegliomasmedical imagingbrain tumor researchbiomedical imagingradiologycancer imagingneuroimagingbiomedical computingneuro-oncology

Improved Subsynchronous Frequency Oscillations Detection in Wind Farms Using AI-Based Fourier Transformation and Advanced Metrics. (2025)

waveletswind energy technologysystems engineeringoffshore mechanicswind engineeringsignal processingadvanced metricswind powerwind power generationturbomachineryaerospace engineering

Enhanced Noise-Resilient Pressure Mat System Based on Hyperdimensional Computing. Sensors (2024)

Fatemeh AsgarinejadXiaofan YuDanlin JiangJustin MorrisTajana RosingBaris Aksanli

sensorsthermal engineeringsensor arrayswearable technologyengineering noise controlhyperdimensional computingoptoelectronicselectrical engineeringbiomedical engineeringenergy harvestingsmart sensorssensor technologyinstrumentationmaterials sciencesensor design

PIONEER: Highly Efficient and Accurate Hyperdimensional Computing Using Learned Projection. 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC) (2024)

Fatemeh AsgarinejadJustin MorrisTajana RosingBaris Aksanli

computer sciencemachine learning

Tri-Hd: Energy-Efficient On-Chip Learning With In-Memory Hyperdimensional Computing. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2024)

Weihong XuSaransh GuptaJustin MorrisXincheng ShenMohsen ImaniBaris AksanliTajana Rosing

computer sciencesystems engineeringin-memory computingdeep learninghigh performance computingscientific computingsoft computinghigh-throughput computingintelligent computingreal-time computingcomputer engineeringparallel computingmobile computingdata-intensive computingenergy-efficient on-chip learningcomputer-aided designmicroelectronicsin-memory hyperdimensional computing

VISIONHD: Towards Efficient and Privacy-Preserved Hyperdimensional Computing for Image Data. (2024)

Fatemeh AsgarinejadJustin MorrisTajana RosingBaris Aksanli

data hidingcomputer sciencebig datacomputer visionprivacy protectiondata privacyprivacy-preserved hyperdimensional computingcomputational imagingdata securityprivacy managementdigital image processingprivacy systemdata sciencedata managementimage analysisimage datadifferential privacy

HD2FPGA: Automated Framework for Accelerating Hyperdimensional Computing on Fpgas. (2023)

Tinaqi ZhangSahand SalamatBehnam KhaleghiJustin MorrisBaris AksanliTajana Simunic Rosing

aerospace engineering

Hierarchical, Distributed and Brain-Inspired Learning for Internet of Things Systems. (2023)

Mohsen ImaniYeseong KimBehnam KhaleghiJustin MorrisHaleh AlimohamadiFarhad ImaniHugo Latapie

artificial intelligencebrain-inspired learninginternet of thingsdistributed systemsneuroscienceonline learningdigital learningdistributed intelligence

Multi-Label Classification With Hyperdimensional Representations. IEEE Access (2023)

Rishikanth ChandrasekaranFatemeh AsgareinjadJustin MorrisTajana Rosing

computer sciencesystems engineeringcomputer visionmulti-label classificationsupervised learningmachine learningclassification methodhyperdimensional representationsinformation technologypattern recognitionmaterials science

Safer at School Early Alert: An Observational Study of Wastewater and Surface Monitoring to Detect Covid-19 in Elementary Schools. The Lancet Regional Health - Americas (2023)

Rebecca Fielding-MillerSmruthi KarthikeyanTommi GainesRichard S. GarfeinRodolfo A. SalidoVictor J. CantuLaura KohnNatasha K. MartinAdriane WynnCarrissa WijayaMarlene FloresVinton OmalekiAraz MajnoonianPatricia Gonzalez-ZunigaMegan NguyenAnh V. VoTina LeDawn DuongAshkan HassaniSamantha TweetenKristen JepsenBenjamin HensonAbbas HakimAmanda BirminghamPeter De HoffAdam M. MarkChanond A. NasamranSara Brin RosenthalNiema MoshiriKathleen M. FischGreg HumphreySawyer FarmerHelena M. TubbTommy VallesJustin MorrisJaeyoung KangBehnam KhaleghiColin YoungAmeen D. AkelSean EilertJustin EnoKen CurewitzLouise C. LaurentTajana RosingRob KnightNathan A. BaerTom BarberAnelizze Castro-MartinezMarisol ChacónWilli CheungEvelyn S. CresciniEmily R. EisnerLizbeth Franco VargasAbbas HakimCharlotte HobbsAlma L. LastrellaElijah S. LawrenceNathaniel L. MattesonKarthik GangavarapuToan T. NgoPhoebe SeaverElizabeth W. SmootRebecca TsaiBing XiaStefan AignerCatelyn AndersonPedro Belda-FerreShashank SatheMark ZellerKristian G. AndersenGene W. YeoEzra Kurzban

public healthwarning systemepidemiologyeducationthreat detectiondisease surveillanceelementary schoolsobservational studyschool early alertenvironmental healthenvironmental monitoringrural healthcovid-19surface monitoring

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Justin Morris

California State University, San Marcos

Affiliations

California State University, San Marcos

College of Science, Technology, Engineering and Mathematics

Department Of Computer Science And Engineering

Department Of Electrical And Computer Engineering

Department Of Computer Science And Information Science

Honors

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Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Justin Morris

California State University, San Marcos

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Lightweight and Generalizable Glioma Grading Using Hyperdimensional Computing. Communications in computer and information science (2026)

medical image computingbiomedical data analysiscomputational sciencegliomasmedical imagingbrain tumor researchbiomedical imagingradiologycancer imagingneuroimagingbiomedical computingneuro-oncology

Improved Subsynchronous Frequency Oscillations Detection in Wind Farms Using AI-Based Fourier Transformation and Advanced Metrics. (2025)

waveletswind energy technologysystems engineeringoffshore mechanicswind engineeringsignal processingadvanced metricswind powerwind power generationturbomachineryaerospace engineering

Enhanced Noise-Resilient Pressure Mat System Based on Hyperdimensional Computing. Sensors (2024)

Fatemeh AsgarinejadXiaofan YuDanlin JiangJustin MorrisTajana RosingBaris Aksanli

PIONEER: Highly Efficient and Accurate Hyperdimensional Computing Using Learned Projection. 2022 27th Asia and South Pacific Design Automation Conference (ASP-DAC) (2024)

Fatemeh AsgarinejadJustin MorrisTajana RosingBaris Aksanli

computer sciencemachine learning

Tri-Hd: Energy-Efficient On-Chip Learning With In-Memory Hyperdimensional Computing. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2024)

Weihong XuSaransh GuptaJustin MorrisXincheng ShenMohsen ImaniBaris AksanliTajana Rosing

VISIONHD: Towards Efficient and Privacy-Preserved Hyperdimensional Computing for Image Data. (2024)

Fatemeh AsgarinejadJustin MorrisTajana RosingBaris Aksanli

HD2FPGA: Automated Framework for Accelerating Hyperdimensional Computing on Fpgas. (2023)

Tinaqi ZhangSahand SalamatBehnam KhaleghiJustin MorrisBaris AksanliTajana Simunic Rosing

aerospace engineering

Hierarchical, Distributed and Brain-Inspired Learning for Internet of Things Systems. (2023)

Mohsen ImaniYeseong KimBehnam KhaleghiJustin MorrisHaleh AlimohamadiFarhad ImaniHugo Latapie

artificial intelligencebrain-inspired learninginternet of thingsdistributed systemsneuroscienceonline learningdigital learningdistributed intelligence

Multi-Label Classification With Hyperdimensional Representations. IEEE Access (2023)

Rishikanth ChandrasekaranFatemeh AsgareinjadJustin MorrisTajana Rosing

Safer at School Early Alert: An Observational Study of Wastewater and Surface Monitoring to Detect Covid-19 in Elementary Schools. The Lancet Regional Health - Americas (2023)

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