Faculty

Institution

Unit

Venue

Andreas Andreou

Professor

Johns Hopkins University

Affiliations

Whiting School of Engineering

Department of Electrical and Computer Engineering

Andreas Andreou is currently serving as an Electrical And Computer Engineering Professor at Johns Hopkins University.

Honors

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Experiences

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Education

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Andreas Andreou

Johns Hopkins University

Professor

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electrical engineering optoelectronics computer science microelectronics electronics computer engineering engineering machine learning semiconductors power electronics computer vision signal processing solid-state electronics neural engineering computational neuroscience semiconductor devices neuromorphic engineering analog design vlsi circuit photonic integrated circuits electronic materials vlsi technology semiconductor technology sensor technology lightwave technology scientific computing printed electronics retina electronic engineering silicon on insulator optical engineering biomedical imaging micro-electromechanical systems organic electronics sapphire cmos computational intelligence wireless communications audio signal processing device integration bioacoustics image sensors optical communications micro technology embedded sensing sensor design circuit design neuroinformatics truenorth neurosynaptic system analog vlsi silicon-on-sapphire cmos bio-inspired computation computational imaging field programmable gate array human-computer interaction low-power electronics acoustic signal processing industrial electronics silicon retina electronic packaging polarization imaging organic semiconductors medical electronics acoustic sensors electronic circuits embedded machine learning neural networks auditory feature extraction auditory periphery subthreshold mos silicon brains stochastic computation floating-gate mosfet motion computation micro-doppler signatures soi cmos winner-takes-all arbitration

Notable Scholarly Works

Notable Federal Grants

Collaborators

Higher-Order Neuromorphic Ising Machines—Autoencoders and Fowler-Nordheim Annealers Are All You Need for Scalability. Nature Communications (2026)

computer scienceneural computationnatural computingcomputer engineeringneural network (machine learning)neuromorphic engineering

In-Memory-Computing for Machine Cognition at the Edge. IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2026)

neural computationunconventional computingin-memory computingmemoryemerging memory technologiescomputer engineeringintegrated circuitscomputational intelligenceneuromorphic engineering

On-Off Neuromorphic Ising Machines Using Fowler-Nordheim Annealers. Nature Communications (2025)

Zihao ChenZhili XiaoMahmoud AklJohannes LeugringOmowuyi OlajideAdil MalikNik DennlerChad HarperSubhankar BoseHector A GonzalezMohamed SamaaliGengting LiuJason EshraghianRiccardo PignariGianvito UrgeseAndreas G AndreouSadasivan ShankarChristian MayrGert CauwenberghsShantanu Chakrabartty

computer sciencefowler-nordheim annealersneural engineering

The Neurobench Framework for Benchmarking Neuromorphic Computing Algorithms and Systems. Nature Communications (2025)

Jason YikKorneel Van den BergheDouwe den BlankenYounes BouhadjarMaxime FabrePaul HueberWeijie KeMina A. KhoeiDenis KleykoNoah Pacik-NelsonAlessandro PierroPhilipp StratmannPao-Sheng Vincent SunGuangzhi TangShenqi WangBiyan ZhouSoikat Hasan AhmedGeorge Vathakkattil JosephBenedetto LetoAurora MicheliAnurag Kumar MishraGregor LenzTao SunZergham AhmedMahmoud AklBrian AndersonAndreas G. AndreouChiara BartolozziArindam BasuPetrut BogdanSander BohteSonia BuckleyGert CauwenberghsElisabetta ChiccaFederico CorradiGuido de CroonAndreea DanielescuAnurag DaramMike DaviesYigit DemiragJason EshraghianTobias FischerJeremy ForestVittorio FraSteve FurberP. Michael FurlongWilliam GilpinAditya GilraHector A. GonzalezGiacomo IndiveriSiddharth JoshiVedant KariaLyes KhacefJames C. KnightLaura KrienerRajkumar KubendranDhireesha KudithipudiShih-Chii LiuYao-Hong LiuHaoyuan MaRajit ManoharJosep Maria Margarit-TauléChristian MayrKonstantinos MichmizosDylan R. MuirEmre NeftciThomas NowotnyFabrizio OttatiAyca OzcelikkalePriyadarshini PandaJongkil ParkMelika PayvandChristian PehleMihai A. PetroviciChristoph PoschAlpha RennerYulia SandamirskayaClemens J. S. SchaeferAndré van SchaikJohannes SchemmelSamuel SchmidgallCatherine SchumanJae-sun SeoSadique SheikSumit Bam ShresthaManolis SifalakisAmos SironiKenneth StewartMatthew StewartTerrence C. StewartJonathan TimcheckNergis TömenGianvito UrgeseMarian VerhelstCraig M. VineyardBernhard VoggingerAmirreza YousefzadehFatima Tuz ZohoraCharlotte FrenkelVijay Janapa Reddi

computer scienceneural computationnatural computingneurosciencebio-inspired computationbrain-like computingneural engineeringcomputational intelligenceneuromorphic engineeringcomputational neuroscienceneurobench framework

Designing Silicon Brains Using Llm: Leveraging Chatgpt for Automated Description of a Spiking Neuron Array. (2024)

Michael TomlinsonJoe LiAndreas Andreou

computer scienceautomated descriptionsilicon brainsneurosciencecomputer engineeringneural engineeringmachine learning

Markov Chain Monte Carlo and Neural Sampling Inference for Graphical Models at the Edge Using the Spinnaker2 Neuromorphic Chip-Multiprocessor. (2024)

Hee Young ChaeDaniel R. MendatAndreas G. Andreou

computer sciencedeep learningscientific computingneuromorphic engineeringmarkov chain monte carloneural sampling inferencemachine learning

Natural Language to Verilog: Design of a Recurrent Spiking Neural Network Using Large Language Models and Chatgpt. arXiv (Cornell University) (2024)

Paola VitoloGeorge PsaltakisMichael TomlinsonGian Domenico LicciardoAndreas G. Andreou

computer scienceneural networkdeep learningmachine learningnatural languageelectrical engineeringnatural language processingmaterials science

Neuromorphic Chiplet Architecture for Wide Area Motion Imagery Processing. (2024)

Andreas G. AndreouTomas FiglioliaKayode SanniThomas S. MurrayGaspar TognettiDaniel R. MendatJamal L. MolinMartin VillemurPhilippe O. PouliquenPedro JulianRalph Etienne-CummingsIsidoros Doxas

neuromorphic chiplet architectureneurosciencemachine learning

A Risc-V Neuromorphic Micro-Controller Unit (Vmcu) With Event-Based Physical Interface and Computational Memory for Low-Latency Machine Perception and Intelligence at the Edge. 2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2023)

Daniel R. MendatJonah P. SenguptaGaspar TognettiMartin VillemurPhilippe O. PouliquenSergio MontanoKayode SanniJamal L. MolinNishant ZachariahIsidoros DoxasAndreas G. Andreou

risc-vneurosciencemachine perceptionmachine intelligenceevent-based physical interfaceubiquitous computinghuman-computer interactionneuromorphic engineeringlow-latency machine perceptioncomputational memory

Asynchronous, Spatiotemporal Filtering Using an Analog Cellular Neural Network Processor. 2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2023)

Jonah P. SenguptaMichael A. TomlinsonDaniel R. MendatMartin VillemurAndreas G. Andreou

computer sciencefilter designcellular neural networksignal processing

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Andreas Andreou

Professor

Johns Hopkins University

Affiliations

Whiting School of Engineering

Department of Electrical and Computer Engineering

Andreas Andreou is currently serving as an Electrical And Computer Engineering Professor at Johns Hopkins 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

Andreas Andreou

Johns Hopkins University

Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Higher-Order Neuromorphic Ising Machines—Autoencoders and Fowler-Nordheim Annealers Are All You Need for Scalability. Nature Communications (2026)

computer scienceneural computationnatural computingcomputer engineeringneural network (machine learning)neuromorphic engineering

In-Memory-Computing for Machine Cognition at the Edge. IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2026)

neural computationunconventional computingin-memory computingmemoryemerging memory technologiescomputer engineeringintegrated circuitscomputational intelligenceneuromorphic engineering

On-Off Neuromorphic Ising Machines Using Fowler-Nordheim Annealers. Nature Communications (2025)

computer sciencefowler-nordheim annealersneural engineering

The Neurobench Framework for Benchmarking Neuromorphic Computing Algorithms and Systems. Nature Communications (2025)

Designing Silicon Brains Using Llm: Leveraging Chatgpt for Automated Description of a Spiking Neuron Array. (2024)

Michael TomlinsonJoe LiAndreas Andreou

computer scienceautomated descriptionsilicon brainsneurosciencecomputer engineeringneural engineeringmachine learning

Markov Chain Monte Carlo and Neural Sampling Inference for Graphical Models at the Edge Using the Spinnaker2 Neuromorphic Chip-Multiprocessor. (2024)

Hee Young ChaeDaniel R. MendatAndreas G. Andreou

computer sciencedeep learningscientific computingneuromorphic engineeringmarkov chain monte carloneural sampling inferencemachine learning

Natural Language to Verilog: Design of a Recurrent Spiking Neural Network Using Large Language Models and Chatgpt. arXiv (Cornell University) (2024)

Paola VitoloGeorge PsaltakisMichael TomlinsonGian Domenico LicciardoAndreas G. Andreou

computer scienceneural networkdeep learningmachine learningnatural languageelectrical engineeringnatural language processingmaterials science

Neuromorphic Chiplet Architecture for Wide Area Motion Imagery Processing. (2024)

Andreas G. AndreouTomas FiglioliaKayode SanniThomas S. MurrayGaspar TognettiDaniel R. MendatJamal L. MolinMartin VillemurPhilippe O. PouliquenPedro JulianRalph Etienne-CummingsIsidoros Doxas

neuromorphic chiplet architectureneurosciencemachine learning

Daniel R. MendatJonah P. SenguptaGaspar TognettiMartin VillemurPhilippe O. PouliquenSergio MontanoKayode SanniJamal L. MolinNishant ZachariahIsidoros DoxasAndreas G. Andreou

Asynchronous, Spatiotemporal Filtering Using an Analog Cellular Neural Network Processor. 2022 IEEE International Symposium on Circuits and Systems (ISCAS) (2023)

Jonah P. SenguptaMichael A. TomlinsonDaniel R. MendatMartin VillemurAndreas G. Andreou

computer sciencefilter designcellular neural networksignal processing

1
2
3
4
5
35
10 / page