Faculty

Institution

Unit

Venue

Diana Marculescu

Professor

University of Texas at Austin

Affiliations

Cockrell School of Engineering

Chandra Family Department of Electrical and Computer Engineering

Diana Marculescu is currently serving as a Chandra Electrical And Computer Engineering Professor at University of Texas At Austin.

Honors

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Experiences

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Education

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Diana Marculescu

University of Texas at Austin

Professor

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electrical engineering systems engineering computer science machine learning engineering deep learning power electronics computer-aided design computer vision design automation performance evaluation microarchitecture vlsi design convolutional neural networks embedded systems computer architecture control systems energy management vlsi technology thermal engineering reliability engineering circuit design hardware acceleration electronic engineering network on chip power-aware computing power management processor architectures electronics scientific computing machine vision low-power electronics electronic design information theory heterogeneous computing power-aware design sequential circuits process variations networked system design engineering optimization vlsi architecture power system optimization power efficiency fault analysis power engineering transfer learning image classification power-efficient computing electronic design automation electronic textiles heterogeneous manycore systems energy awareness power estimation wireless noc advanced manufacturing technologies model compression automation engineering distributed computing frequency control hardware architecture timing analysis embedded machine learning fault estimation micro-electromechanical systems single-path nas voltage-frequency island global ranking soft errors nbti-induced performance degradation sequence compaction many-core systems hardware-aware machine learning technology-driven limits process control manufacturing technology higher education sustainable energy energy-efficient technologies natural computing energy efficiency computer engineering sustainable energy technologies

Notable Scholarly Works

Notable Federal Grants

Collaborators

Beyond Thresholds: A General Approach to Sensor Selection for Practical Deep Learning-Based Har. (2024)

Geffen CooperRadu Marculescu

deep learningsystems engineeringmachine learning

Cache and Reuse: Rethinking the Efficiency of On-Device Transfer Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2024)

Yuedong YangHung-Yueh ChiangGuihong LiDiana MarculescuRadu Marculescu

machine learningcomputer visionon-device transfer learningpattern recognitioncomputer science

Demo Abstract: A Prototype for Machine Learning With Batteryless Sensors. (2024)

Geffen CooperTianda HuangRadu Marculescu

demo abstractsystems engineeringmachine learningbatteryless sensors

Demo Abstract: Online Training and Inference for On-Device Monocular Depth Estimation. (2024)

Allen-Jasmin FarcasGeffen CooperHyun Joon SongAfnan MirVincent LiewChloe TangPrithvi SenthilkumarTiani Chen-TroesterRadu Marculescu

materials sciencesystems engineeringdemo abstractmechanical engineeringcomputer vision3d computer visiondeep learningmachine visionpattern recognitionimage analysis3d pose estimationmachine learningonline training

Efficient Approaches for Gemm Acceleration on Leading AI-Optimized Fpgas. IEEE Symposium on Field-Programmable Custom Computing Machines (2024)

Endri TakaDimitrios GourounasAndreas GerstlauerDiana MarculescuAman Arora

accelerated designai-optimized fpgasfpga designaccelerator technologygemm accelerationelectrical engineeringapplied mathematicsengineeringperformance evaluation

ELSA: Exploiting Layer-Wise N: M Sparsity for Vision Transformer Acceleration. arXiv (Cornell University) (2024)

Huang, Ning-ChiChang, Chi-ChihLin, Wei-ChengTaka, EndriMarculescu, DianaWu, Kai-Chiang

machine learningcomputer engineeringcomputer visionhardware accelerationdeep learningvision transformer accelerationimage analysiscomputer science

FLORA: Fine-Grained Low-Rank Architecture Search for Vision Transformer. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024)

Chi-Chih ChangYuan-Yao SungShixing YuNing-Chi HuangDiana MarculescuKai-Chiang Wu

architecturecomputer visionvision transformerpattern recognitioncomputer science

FLOWVID: Taming Imperfect Optical Flows for Consistent Video-To-Video Synthesis. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Feng LiangBichen WuJialiang WangLicheng YuKunpeng LiYinan ZhaoIshan MisraJia-Bin HuangPeizhao ZhangPeter VajdaDiana Marculescu

Ma-Avt: Modality Alignment for Parameter-Efficient Audio-Visual Transformers. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2024)

Tanvir MahmudShentong MoYapeng TianDiana Marculescu

machine learningnatural language processingparameter-efficient audio-visual transformersmodality alignmentcomputer science

OPENSEP: Leveraging Large Language Models With Textual Inversion for Open World Audio Separation. arXiv (Cornell University) (2024)

Mahmud, TanvirMarculescu, Diana

textual inversionlanguage modelsnatural language processingcomputer scienceaudio retrieval

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Diana Marculescu

Professor

University of Texas at Austin

Affiliations

Cockrell School of Engineering

Chandra Family Department of Electrical and Computer Engineering

Diana Marculescu is currently serving as a Chandra Electrical And Computer Engineering Professor at University of Texas At Austin.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Diana Marculescu

University of Texas at Austin

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Beyond Thresholds: A General Approach to Sensor Selection for Practical Deep Learning-Based Har. (2024)

Geffen CooperRadu Marculescu

deep learningsystems engineeringmachine learning

Cache and Reuse: Rethinking the Efficiency of On-Device Transfer Learning. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2024)

Yuedong YangHung-Yueh ChiangGuihong LiDiana MarculescuRadu Marculescu

machine learningcomputer visionon-device transfer learningpattern recognitioncomputer science

Demo Abstract: A Prototype for Machine Learning With Batteryless Sensors. (2024)

Geffen CooperTianda HuangRadu Marculescu

demo abstractsystems engineeringmachine learningbatteryless sensors

Demo Abstract: Online Training and Inference for On-Device Monocular Depth Estimation. (2024)

Allen-Jasmin FarcasGeffen CooperHyun Joon SongAfnan MirVincent LiewChloe TangPrithvi SenthilkumarTiani Chen-TroesterRadu Marculescu

Efficient Approaches for Gemm Acceleration on Leading AI-Optimized Fpgas. IEEE Symposium on Field-Programmable Custom Computing Machines (2024)

Endri TakaDimitrios GourounasAndreas GerstlauerDiana MarculescuAman Arora

accelerated designai-optimized fpgasfpga designaccelerator technologygemm accelerationelectrical engineeringapplied mathematicsengineeringperformance evaluation

ELSA: Exploiting Layer-Wise N: M Sparsity for Vision Transformer Acceleration. arXiv (Cornell University) (2024)

Huang, Ning-ChiChang, Chi-ChihLin, Wei-ChengTaka, EndriMarculescu, DianaWu, Kai-Chiang

machine learningcomputer engineeringcomputer visionhardware accelerationdeep learningvision transformer accelerationimage analysiscomputer science

FLORA: Fine-Grained Low-Rank Architecture Search for Vision Transformer. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2024)

Chi-Chih ChangYuan-Yao SungShixing YuNing-Chi HuangDiana MarculescuKai-Chiang Wu

architecturecomputer visionvision transformerpattern recognitioncomputer science

FLOWVID: Taming Imperfect Optical Flows for Consistent Video-To-Video Synthesis. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2024)

Feng LiangBichen WuJialiang WangLicheng YuKunpeng LiYinan ZhaoIshan MisraJia-Bin HuangPeizhao ZhangPeter VajdaDiana Marculescu

Ma-Avt: Modality Alignment for Parameter-Efficient Audio-Visual Transformers. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (2024)

Tanvir MahmudShentong MoYapeng TianDiana Marculescu

machine learningnatural language processingparameter-efficient audio-visual transformersmodality alignmentcomputer science

OPENSEP: Leveraging Large Language Models With Textual Inversion for Open World Audio Separation. arXiv (Cornell University) (2024)

Mahmud, TanvirMarculescu, Diana

textual inversionlanguage modelsnatural language processingcomputer scienceaudio retrieval

1
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3
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5
26
10 / page

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Similar Faculty Members

Lei He

Institution

University of California, Los Angeles

advanced intelligent system

multidisciplinary ai

Radu Marculescu

Institution

University of Texas at Austin

industrial informatics

embedded system

Gu-Yeon Wei

Institution

Harvard University

computer engineering

hardware architecture

Margaret Marek-Sadowska

Institution

University of California, Santa Barbara

circuit simulation

computer engineering

Partha Pratim Pande

Institution

Washington State University

systems engineering

electrical engineering

Peter A. Beerel

Institution

University of Southern California

secure computing

computer engineering

David Z. Pan

Institution

University of Texas at Austin

design

electronic design automation

Sandip Kundu

Institution

University of Massachusetts Amherst

big data

vlsi circuit design

Tajana Rosing

Institution

University of California, San Diego

computer science

systems engineering

David Brooks

Institution

Harvard University

applied mathematical modelling

scientific computing