Faculty

Institution

Unit

Venue

Lennart Johnsson

University of Houston

Affiliations

College of Natural Sciences and Mathematics

Computer Science

Cullen College of Engineering

Electrical & Computer Engineering

Lennart Johnsson is currently serving as a College Of Natural Sciences And Mathematics Dr at University of Houston.

Honors

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Experiences

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Education

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Lennart Johnsson

University of Houston

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computer science systems engineering parallel computing machine learning applied mathematics engineering scientific computing deep learning distributed computing scheduling (computing) high performance computing computing education informatics distributed systems wireless communications distributed processing grid system parallel processing grid computing data management formal methods numerical analysis parallel programming information technology earth system science scheduling analysis project scheduling performance tuning concurrency theory code generation grads project personalized communication connection machine automatic generation finite element applications boolean cubes parallel array dbms mathematical programming service management information management service computing networked system design communication security data security computational imaging computational optimization molecular diagnostics workflow modelling workflow execution workflow management system network routing algorithm model framework network routing image segmentation finite element methods gpu computing abstract machine data repository distributed databases next generation computing large-scale datasets scalable computing aeronautics large-scale simulations computational visualization concurrency control resource allocation software support hypercube architectures application workflows ensemble architectures tridiagonal systems adaptive grid programs connection machine system parallel multipole method squeeze u-net

Notable Scholarly Works

Notable Federal Grants

Collaborators

Performance Evaluation of District Energy Microgrids Planning Tool for Non-Technical Users. (2024)

Fatima Ezzahra El AidosSimon AbongmboSafae BourhnaneDriss BenhaddouFan LeiLennart JohnssonCarlos GamarraTianrun ZhangMuhammad AnanMohamed Riduan Abid

systems engineeringdistrict energy microgridsnon-technical usersperformance evaluationenergy management

Computationally Efficient Dnn Mapping Search Heuristic Using Deep Reinforcement Learning. ACM Transactions on Embedded Computing Systems (2023)

Suyash BakshiLennart Johnsson

deep reinforcement learningsystems engineeringcomputer sciencemachine learningcomputational optimizationdata scienceembedded machine learningartificial intelligencedeep learningheuristic (computer science)

VXH: A Systematic Determination of Efficient Hierarchical Voxel Structures. ACM Transactions on Spatial Algorithms and Systems (2023)

Mouad RifaiLennart Johnsson

computer sciencemachine learningsystematic determinationspatial analysisstructure determination

Classification of 4D Fmri Images Using ML, Focusing on Computational and Memory Utilization Efficiency. Lecture notes in computer science (2022)

Nazanin BeheshtiLennart Johnsson

pattern recognitionmagnetic resonance imagingcomputer sciencecomputational imagingmachine learningimage classificationcomputational neuroscienceimage analysismemory utilization efficiencyneuroimaging

Memory and Energy Efficient Memory Model and Instruction Set Architectures for Tree Data Structures. (2022)

Mouad RifaiLennart Johnsson

memorycomputer sciencemachine learningtree data structuresmemory architecturesinstruction set architectures

Analysis of Factors Affecting Power Consumption and Energy Efficiency of Sgemm on the Low-Power Myriad-2 Vpu. (2021)

Suyash BakshiLennart Johnsson

energy efficiencyelectrical engineeringpower consumption

Using Cnns for Ad Classification Based on Spatial Correlation of Bold Signals During the Observation.. arXiv (Cornell University) (2021)

Nazanin BeheshtiS. Lennart Johnsson

pattern recognitionspatial correlationcomputer sciencemachine learningneurosciencead classificationimage analysisbold signalsconvolutional neural networksneuroimagingcomputer vision

A Highly Efficient Sgemm Implementation Using Dma on the Intel/Movidius Myriad-2. (2020)

Suyash BakshiLennart Johnsson

deep learningsystems engineering

An Adaptive Space-Filling Curve Trajectory for Ordering 3D Datasets to 1D: Application to Brain Magnetic Resonance Imaging Data for Classification. Lecture notes in computer science (2020)

Unal SakogluLohit BhupatiNazanin BeheshtiNikolaos TsekosLennart Johnsson

data scienceneuroimagingcomputer science

Squeeze U-Net: A Memory and Energy Efficient Image Segmentation Network. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2020)

Nazanin BeheshtiLennart Johnsson

memorysqueeze u-netcomputer sciencemachine learningcomputer visionimage segmentationdeep learning

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Lennart Johnsson

University of Houston

Affiliations

College of Natural Sciences and Mathematics

Computer Science

Cullen College of Engineering

Electrical & Computer Engineering

Lennart Johnsson is currently serving as a College Of Natural Sciences And Mathematics Dr at University of Houston.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Lennart Johnsson

University of Houston

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Performance Evaluation of District Energy Microgrids Planning Tool for Non-Technical Users. (2024)

Fatima Ezzahra El AidosSimon AbongmboSafae BourhnaneDriss BenhaddouFan LeiLennart JohnssonCarlos GamarraTianrun ZhangMuhammad AnanMohamed Riduan Abid

systems engineeringdistrict energy microgridsnon-technical usersperformance evaluationenergy management

Computationally Efficient Dnn Mapping Search Heuristic Using Deep Reinforcement Learning. ACM Transactions on Embedded Computing Systems (2023)

Suyash BakshiLennart Johnsson

VXH: A Systematic Determination of Efficient Hierarchical Voxel Structures. ACM Transactions on Spatial Algorithms and Systems (2023)

Mouad RifaiLennart Johnsson

computer sciencemachine learningsystematic determinationspatial analysisstructure determination

Classification of 4D Fmri Images Using ML, Focusing on Computational and Memory Utilization Efficiency. Lecture notes in computer science (2022)

Nazanin BeheshtiLennart Johnsson

pattern recognitionmagnetic resonance imagingcomputer sciencecomputational imagingmachine learningimage classificationcomputational neuroscienceimage analysismemory utilization efficiencyneuroimaging

Memory and Energy Efficient Memory Model and Instruction Set Architectures for Tree Data Structures. (2022)

Mouad RifaiLennart Johnsson

memorycomputer sciencemachine learningtree data structuresmemory architecturesinstruction set architectures

Analysis of Factors Affecting Power Consumption and Energy Efficiency of Sgemm on the Low-Power Myriad-2 Vpu. (2021)

Suyash BakshiLennart Johnsson

energy efficiencyelectrical engineeringpower consumption

Using Cnns for Ad Classification Based on Spatial Correlation of Bold Signals During the Observation.. arXiv (Cornell University) (2021)

Nazanin BeheshtiS. Lennart Johnsson

pattern recognitionspatial correlationcomputer sciencemachine learningneurosciencead classificationimage analysisbold signalsconvolutional neural networksneuroimagingcomputer vision

A Highly Efficient Sgemm Implementation Using Dma on the Intel/Movidius Myriad-2. (2020)

Suyash BakshiLennart Johnsson

deep learningsystems engineering

An Adaptive Space-Filling Curve Trajectory for Ordering 3D Datasets to 1D: Application to Brain Magnetic Resonance Imaging Data for Classification. Lecture notes in computer science (2020)

Unal SakogluLohit BhupatiNazanin BeheshtiNikolaos TsekosLennart Johnsson

data scienceneuroimagingcomputer science

Squeeze U-Net: A Memory and Energy Efficient Image Segmentation Network. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2020)

Nazanin BeheshtiLennart Johnsson

memorysqueeze u-netcomputer sciencemachine learningcomputer visionimage segmentationdeep learning

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Similar Faculty Members

Peter Kogge

Institution

University of Notre Dame

parallel processing

parallel computing

Ishfaq Ahmad

Institution

University of Texas at Arlington

distributed computing

parallel computing

Martin Herbordt

Institution

Boston University

field programmable gate array

supercomputer architecture

Yale Patt

Institution

University of Texas at Austin

computer engineering

hardware architecture

Dan C. Marinescu

Institution

University of Central Florida

grid computing

supercomputer architecture

Barbara Chapman

Institution

Stony Brook University

parallel complexity theory

high performance computing

Keshav Pingali

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University of Texas at Austin

parallel computing

computer engineering

Jean-Luc Gaudiot

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University of California, Irvine

parallel processing

parallel computing

Ali Akoglu

Institution

University of Arizona

resource management

design automation

Ahmed Louri

Institution

George Washington University

scalable multicore architectures

manycore architectures