Faculty

Institution

Unit

Venue

Gina Adam

Associate Professor

George Washington University

Affiliations

School of Engineering & Applied Science

Department of Electrical & Computer Engineering

Gina Adam is currently serving as an Electrical & Computer Engineering Associate Professor at George Washington 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

Gina Adam

George Washington University

Associate Professor

You can click a keyword to filter the displayed items

electrical engineering machine learning materials science computer security engineering optoelectronics neuroscience neural engineering microelectronics power electronics device modeling scientific computing electronics hardware security semiconductors solid-state electronics streaming algorithms streaming data information security microwave technology data security intelligent computing automated reasoning micro-electromechanical systems neuromorphic engineering semiconductor devices emerging memory technologies data stream mining microwave engineering control system security metal-oxide memristors multiply-add engine stateful characterization electronic materials scientific data communication security reliability engineering mammalian biology computational intelligence decision science logic in computer science cryogenics data manipulation nanometrology nanoscale science memory devices memory architectures oxide electronics physical design (electronics) sparse neural network neuroinformatics data streaming architecture semiconductor device fabrication radio propagation wireless propagation radio engineering radio communication prototype implementation mobile security infrastructure security iot security multisensory integration circuit simulation neuromorphic network neuromorphic computing applications nonlinear conductance variations analogue state integrated memristors hardware-intrinsic security primitives memristive neuromorphic hardware quantum computing ics fdsoi cmos technology cryogenic characterization three-dimensional data manipulation material-function mapping electron beam bio-inspired computation technology

Notable Scholarly Works

Notable Federal Grants

Collaborators

Biologically-Informed Excitatory and Inhibitory Balance for Robust Spiking Neural Network Training. arXiv (Cornell University) (2024)

Kilgore, Joseph A.Kopsick, Jeffrey D.Ascoli, Giorgio A.Adam, Gina C.

neurosciencecognitive sciencebrain scienceneural network trainingbiologically-informed excitatorycomputational neuroscienceneural scienceinhibitory balancecognitive electrophysiologysystems neuroscienceneurophysiologycognitive neuroscienceelectrophysiologybehavioral sciences

Formation and Retrieval of Cell Assemblies in a Biologically Realistic Spiking Neural Network Model of Area Ca3 in the Mouse Hippocampus. Journal of Computational Neuroscience (2024)

Jeffrey D KopsickJoseph A KilgoreGina C AdamGiorgio A Ascoli

cell assembliesneural network modelcellular neurobiologybiophysicsmammalian biologyneurosciencemolecular neurobiologymouse hippocampusneuroanatomyneural sciencebrain modelingsystems neurosciencecell biologyneurophysiologycognitive neurosciencecomputational neurosciencebrain structure

Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance. arXiv (Cornell University) (2024)

Yousuf, OsamaHoskins, BrianRamu, KarthickFream, MitchellBorders, William A.Madhavan, AdvaitDaniels, Matthew W.Dienstfrey, AndrewMcClelland, Jabez J.Lueker-Boden, MartinAdam, Gina C.

machine learningcomputer scienceartificial intelligenceensemble algorithms

RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space. arXiv (Cornell University) (2024)

Chen, JingdiZhou, HanhanMei, YongshengJoe-Wong, CarleeAdam, GinaBastian, Nathaniel D.Lan, Tian

non-euclidean metric spacedecision treesapplied mathematics

Service, Networking, and Fun? Experience It All as an Ims Student Ambassador!. IEEE Microwave Magazine (2024)

Gina C. Adam

technologyservicelearningmicrowave engineeringims student ambassadormicrowave technology

Unlocking Circuits for Quantum With Open Source Silicon: A First Look at Measured Open Source Silicon Results at 4 K. IEEE Solid-State Circuits Magazine (2024)

Anhang LiTuohang ZengLei ZhangJoseph RiemGina C. AdamDavid L. FleischerAlex ZaslavskyWilliam R. PattersonTim AnsellAkin AkturkBrian HoskinsPragya R. ShresthaMehdi Saligane

semiconductor technologynanoelectronicsquantum engineeringengineeringelectronicsoptoelectronicsapplied physicsmicroelectronicsopen source siliconsemiconductorssolid-state electronicselectrical engineering

Using Virtual Reality Cleanroom Simulation in a Mixed Nanoelectronics Classroom. (2024)

Sean LetavishAni MeliksetyanVictoria RavelHurriyet OkNatalie MilmanGina Adam

virtual realitynanoelectronicseducationeducational technology

Device Modeling Bias in Reram-Based Neural Network Simulations. IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2023)

Osama YousufImtiaz HossenMatthew W. DanielsMartin Lueker-BodenAndrew DienstfreyGina C. Adam

neural engineeringdeep learningcomputer sciencesystems engineeringmodeling and simulationdevice modelingcircuit simulationelectrical engineering

Interpolative Device Models for Hafnia-Based Fefets. 2022 6th IEEE Electron Devices Technology & Manufacturing Conference (EDTM) (2023)

Imtiaz HossenAndreu L. GlasmannSina NajmaeiGina C. Adam

optoelectronicsapplied physicsinterpolative device modelsdevice modelingelectrical engineering

Low-Rank Gradient Descent for Memory-Efficient Training of Deep In-Memory Arrays. ACM Journal on Emerging Technologies in Computing Systems (2023)

Siyuan HuangBrian D. HoskinsMatthew W. DanielsMark D. StilesGina C. Adam

deep learningcomputer scienceembedded machine learningmachine learningintelligent computinglow-rank gradient descentdeep in-memory arrayscomputer engineeringsystems engineeringin-memory computingarray computingemerging memory technologiesadvanced computingmemory-efficient training

1
2
3
4
5
6
10 / page

Gina Adam

Associate Professor

George Washington University

Affiliations

School of Engineering & Applied Science

Department of Electrical & Computer Engineering

Gina Adam is currently serving as an Electrical & Computer Engineering Associate Professor at George Washington 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

Gina Adam

George Washington University

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Biologically-Informed Excitatory and Inhibitory Balance for Robust Spiking Neural Network Training. arXiv (Cornell University) (2024)

Kilgore, Joseph A.Kopsick, Jeffrey D.Ascoli, Giorgio A.Adam, Gina C.

Formation and Retrieval of Cell Assemblies in a Biologically Realistic Spiking Neural Network Model of Area Ca3 in the Mouse Hippocampus. Journal of Computational Neuroscience (2024)

Jeffrey D KopsickJoseph A KilgoreGina C AdamGiorgio A Ascoli

Layer Ensemble Averaging for Improving Memristor-Based Artificial Neural Network Performance. arXiv (Cornell University) (2024)

Yousuf, OsamaHoskins, BrianRamu, KarthickFream, MitchellBorders, William A.Madhavan, AdvaitDaniels, Matthew W.Dienstfrey, AndrewMcClelland, Jabez J.Lueker-Boden, MartinAdam, Gina C.

machine learningcomputer scienceartificial intelligenceensemble algorithms

RGMDT: Return-Gap-Minimizing Decision Tree Extraction in Non-Euclidean Metric Space. arXiv (Cornell University) (2024)

Chen, JingdiZhou, HanhanMei, YongshengJoe-Wong, CarleeAdam, GinaBastian, Nathaniel D.Lan, Tian

non-euclidean metric spacedecision treesapplied mathematics

Service, Networking, and Fun? Experience It All as an Ims Student Ambassador!. IEEE Microwave Magazine (2024)

Gina C. Adam

technologyservicelearningmicrowave engineeringims student ambassadormicrowave technology

Unlocking Circuits for Quantum With Open Source Silicon: A First Look at Measured Open Source Silicon Results at 4 K. IEEE Solid-State Circuits Magazine (2024)

Anhang LiTuohang ZengLei ZhangJoseph RiemGina C. AdamDavid L. FleischerAlex ZaslavskyWilliam R. PattersonTim AnsellAkin AkturkBrian HoskinsPragya R. ShresthaMehdi Saligane

Using Virtual Reality Cleanroom Simulation in a Mixed Nanoelectronics Classroom. (2024)

Sean LetavishAni MeliksetyanVictoria RavelHurriyet OkNatalie MilmanGina Adam

virtual realitynanoelectronicseducationeducational technology

Device Modeling Bias in Reram-Based Neural Network Simulations. IEEE Journal on Emerging and Selected Topics in Circuits and Systems (2023)

Osama YousufImtiaz HossenMatthew W. DanielsMartin Lueker-BodenAndrew DienstfreyGina C. Adam

neural engineeringdeep learningcomputer sciencesystems engineeringmodeling and simulationdevice modelingcircuit simulationelectrical engineering

Interpolative Device Models for Hafnia-Based Fefets. 2022 6th IEEE Electron Devices Technology & Manufacturing Conference (EDTM) (2023)

Imtiaz HossenAndreu L. GlasmannSina NajmaeiGina C. Adam

optoelectronicsapplied physicsinterpolative device modelsdevice modelingelectrical engineering

Low-Rank Gradient Descent for Memory-Efficient Training of Deep In-Memory Arrays. ACM Journal on Emerging Technologies in Computing Systems (2023)

Siyuan HuangBrian D. HoskinsMatthew W. DanielsMark D. StilesGina C. Adam

1
2
3
4
5
6
10 / page

Similar Faculty Members

Joseph Friedman

Institution

University of Texas at Dallas

neuromorphic engineering

beyond-cmos computing

Jean Incorvia

Institution

University of Texas at Austin

magnetic resonance

magnetism

Jason Eshraghian

Institution

University of California, Santa Cruz

field programmable gate array

brain-like computing

Peter A. Beerel

Institution

University of Southern California

secure computing

computer engineering

Sen Lu

Institution

Pennsylvania State University

neuromorphic engineering

optical materials

Siddharth Joshi

Institution

University of Notre Dame

brain-like computing

computer engineering

Amit Ranjan Trivedi

Institution

University of Illinois Chicago

industrial artificial intelligence

ai architecture

Dmitri Strukov

Institution

University of California, Santa Cruz

nanoelectronics

neuromorphic engineering

Dejan Markovic

Institution

University of California, Los Angeles

neural interface

brain-like computing

Volker Sorger

Institution

George Washington University

memetic computing

brain-like computing

Similar Faculty Members

Joseph Friedman

Institution

University of Texas at Dallas

neuromorphic engineering

beyond-cmos computing

Jean Incorvia

Institution

University of Texas at Austin

magnetic resonance

magnetism

Jason Eshraghian

Institution

University of California, Santa Cruz

field programmable gate array

brain-like computing

Peter A. Beerel

Institution

University of Southern California

secure computing

computer engineering

Sen Lu

Institution

Pennsylvania State University

neuromorphic engineering

optical materials

Siddharth Joshi

Institution

University of Notre Dame

brain-like computing

computer engineering

Amit Ranjan Trivedi

Institution

University of Illinois Chicago

industrial artificial intelligence

ai architecture

Dmitri Strukov

Institution

University of California, Santa Cruz

nanoelectronics

neuromorphic engineering

Dejan Markovic

Institution

University of California, Los Angeles

neural interface

brain-like computing

Volker Sorger

Institution

George Washington University

memetic computing

brain-like computing