Faculty

Institution

Unit

Venue

Miriam Leeser

Professor

Northeastern University

Affiliations

College of Engineering

Electrical and Computer Engineering

Miriam Leeser is currently serving as a College Of Engineering Professor at Northeastern University.

Honors

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Experiences

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Education

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Miriam Leeser

Northeastern University

Professor

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computer science systems engineering computer engineering electrical engineering field programmable gate array machine learning fpga design hardware acceleration parallel computing cloud computing communications systems power electronics embedded systems gpu computing computer architecture computer vision reconfigurable architectures reconfigurable hardware deep learning scientific computing optical engineering vlsi technology biomedical imaging wireless communications electronics engineering optimization information technology benchmark studies accelerator technology fpga implementation high-level synthesis vehicular technology automatic control computer-aided design mobile computing hardware architecture distributed computing image reconstruction runtime systems software-defined radio shoulder joint angles hardware implementation open cloud testbed reconfigurable logic musculoskeletal science prototype implementation performance prediction convolutional neural networks optical remote sensing control architecture radio frequency optical computing massive data processing advanced computing cloud computing architecture hardware description languages right implementation floating-point divide parallel-beam backprojection qr decomposition side-channel analysis high level synthesis portable applications nvidia gpus kernel specialization particle beam architectural design discrete algorithms micro-electromechanical systems computer design embedded architecture particle technology aerospace technology aeronautics software security secure computing next generation computing data privacy hardware algorithm design automation hardware platform

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

LUTMUL: Exceed Conventional Fpga Roofline Limit by Lut-Based Efficient Multiplication for Neural Network Inference. Proceedings of the 28th Asia and South Pacific Design Automation Conference (2025)

Yanyue XieZhengang LiDana DiaconuSuranga HandagalaMiriam LeeserXue Lin

field programmable gate arrayapplied mathematicsneural network inferencecomputer sciencefpga designneural computationlut-based efficient multiplicationneural network (machine learning)

Efficient Neural Networks on the Edge With Fpgas by Optimizing an Adaptive Activation Function. (2024)

Yiyue JiangAndrius VaicaitisJohn DooleyMiriam Leeser

adaptive activation functionedge architecturecomputer sciencemachine learningedge computingartificial intelligenceefficient neural networks

HOTAQ: Hardware Oriented Token Adaptive Quantization for Large Language Models. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2024)

Xuan ShenZhaoyang HanLei LuZhenglun KongPeiyan DongZhengang LiYanyue XieChao WuMiriam LeeserPu ZhaoXue LinYanzhi Wang

computer-aided designlarge language modelssystems engineeringquantization (signal processing)token adaptive quantizationcomputer engineeringlanguage models

Intrusion Detection in Hybrid Cloud Networks. (2024)

Durga Suresh-MenonMiriam LeeserMichael Zink

threat detectionmobile computingcomputer sciencehybrid cloud networksdata privacycomputer securitycloud computingsystems engineeringcommunication securitycomputer engineeringrisk managementinformation securitydata managementddos detectiondistributed systemsmulti-user detectiondata securityanomaly detectionnetwork securityintrusion detection

P4-Based In-Network Telemetry for Fpgas in the Open Cloud Testbed and Fabric. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (2024)

Sandeep BalZhaoyang HanSuranga HandagalaMert CevikMichael ZinkMiriam Leeser

wireless sensor networksmobile computingcomputer sciencefpga designcommunications systemswireless communicationsfield programmable gate arrayvehicular technologydronesinformation technologycloud computingreal-world deploymentsystems engineeringcomputer engineeringopen cloud testbeddata disseminationtelemetryunmanned aerial vehiclescloud-based integration

Realizing Network-Attached Fpgas in the Cloud. Computing in Science & Engineering (2024)

Miriam LeeserSuranga HandagalaDana DiaconuZhaoyang HanMichael Zink

cloud computingfield programmable gate arraycomputer sciencefpga designcomputer engineeringnetwork-attached fpgas

Accelerating Garbled Circuits in the Open Cloud Testbed With Multiple Network-Attached Fpgas. (2023)

Kai HuangMehmet GungorSuranga HandagalaStratis IoannidisMiriam Leeser

open cloudmultiple network-attached fpgascloud computinghardware accelerationfpga designcomputer engineering

A Framework to Enable Runtime Programmable P4-Enabled Fpgas in the Open Cloud Testbed. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (2023)

Zhaoyang HanSuranga HandagalaKalyani PatleMichael ZinkMiriam Leeser

cloud computingfield programmable gate arraysystems engineeringruntime systemsfpga designcomputer engineering

Artifact Evaluation for Acm Trets Papers Submitted From the Fpt Journal Track. ACM Transactions on Reconfigurable Technology and Systems (2023)

Miriam Leeser

acm trets papersreconfigurabilitycomputer scienceartifact evaluation

Machine Learning Across Network-Connected Fpgas. (2023)

Dana DiaconuYanyue XieMehmet GungorSuranga HandagalaXue LinMiriam Leeser

field programmable gate arraycomputer sciencemachine learningnetwork-connected fpgasdeep learning

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Miriam Leeser

Professor

Northeastern University

Affiliations

College of Engineering

Electrical and Computer Engineering

Miriam Leeser is currently serving as a College Of Engineering Professor at Northeastern University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Miriam Leeser

Northeastern University

Professor

You can click a keyword to filter the displayed items

Video Presentations

Notable Scholarly Works

Notable Federal Grants

Collaborators

Yanyue XieZhengang LiDana DiaconuSuranga HandagalaMiriam LeeserXue Lin

field programmable gate arrayapplied mathematicsneural network inferencecomputer sciencefpga designneural computationlut-based efficient multiplicationneural network (machine learning)

Efficient Neural Networks on the Edge With Fpgas by Optimizing an Adaptive Activation Function. (2024)

Yiyue JiangAndrius VaicaitisJohn DooleyMiriam Leeser

adaptive activation functionedge architecturecomputer sciencemachine learningedge computingartificial intelligenceefficient neural networks

HOTAQ: Hardware Oriented Token Adaptive Quantization for Large Language Models. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (2024)

Xuan ShenZhaoyang HanLei LuZhenglun KongPeiyan DongZhengang LiYanyue XieChao WuMiriam LeeserPu ZhaoXue LinYanzhi Wang

computer-aided designlarge language modelssystems engineeringquantization (signal processing)token adaptive quantizationcomputer engineeringlanguage models

Intrusion Detection in Hybrid Cloud Networks. (2024)

Durga Suresh-MenonMiriam LeeserMichael Zink

P4-Based In-Network Telemetry for Fpgas in the Open Cloud Testbed and Fabric. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (2024)

Sandeep BalZhaoyang HanSuranga HandagalaMert CevikMichael ZinkMiriam Leeser

Realizing Network-Attached Fpgas in the Cloud. Computing in Science & Engineering (2024)

Miriam LeeserSuranga HandagalaDana DiaconuZhaoyang HanMichael Zink

cloud computingfield programmable gate arraycomputer sciencefpga designcomputer engineeringnetwork-attached fpgas

Accelerating Garbled Circuits in the Open Cloud Testbed With Multiple Network-Attached Fpgas. (2023)

Kai HuangMehmet GungorSuranga HandagalaStratis IoannidisMiriam Leeser

open cloudmultiple network-attached fpgascloud computinghardware accelerationfpga designcomputer engineering

A Framework to Enable Runtime Programmable P4-Enabled Fpgas in the Open Cloud Testbed. IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS) (2023)

Zhaoyang HanSuranga HandagalaKalyani PatleMichael ZinkMiriam Leeser

cloud computingfield programmable gate arraysystems engineeringruntime systemsfpga designcomputer engineering

Artifact Evaluation for Acm Trets Papers Submitted From the Fpt Journal Track. ACM Transactions on Reconfigurable Technology and Systems (2023)

Miriam Leeser

acm trets papersreconfigurabilitycomputer scienceartifact evaluation

Machine Learning Across Network-Connected Fpgas. (2023)

Dana DiaconuYanyue XieMehmet GungorSuranga HandagalaXue LinMiriam Leeser

field programmable gate arraycomputer sciencemachine learningnetwork-connected fpgasdeep learning

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10 / page

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Similar Faculty Members

Alan George

Institution

University of Florida

supercomputer architecture

high performance computing

Alex K. Jones

Institution

Syracuse University

computer engineering

hardware architecture

David Kaeli

Institution

Northeastern University

computer science

systems engineering

Chris Papachristou

Institution

Case Western Reserve University

field programmable gate array

computer engineering

Yingtao Jiang

Institution

University of Nevada, Las Vegas

computer architecture

integrated circuit

Peter A. Beerel

Institution

University of Southern California

secure computing

computer engineering

Yanzhi Wang

Institution

Northeastern University

deep learning

computational intelligence

Mark Tehranipoor

Institution

University of Florida

cryptographic hardware

computer engineering

Lei He

Institution

University of California, Los Angeles

advanced intelligent system

multidisciplinary ai

Sunil Khatri

Institution

Texas A&M University

electrical engineering

computer science