Faculty

Institution

Unit

Venue

Bongjin Kim

Assistant Professor

University of California, Santa Barbara

Affiliations

College of Engineering

Electrical and Computer Engineering

Bongjin Kim is currently serving as a College Of Engineering Assistant Professor at University of California, Santa Barbara.

Honors

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Experiences

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Education

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Bongjin Kim

University of California, Santa Barbara

Assistant Professor

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electrical engineering computer science computer engineering power electronics systems engineering solid-state electronics machine learning electronics in-memory computing microelectronics reconfigurable architectures semiconductors hardware acceleration vlsi technology digital signal processing optoelectronics combinatorial optimization combinatorial optimization problems neural networks embedded systems computer architecture neural engineering semiconductor technology vlsi circuit emerging memory technologies semiconductor devices reconfigurability accelerator technology scientific computing sram compute-in-memory macro microwave technology high performance computer architecture in-storage computing processor architectures mixed-signal integrated circuits analog-to-digital converters benchmark studies vlsi design audio signal processing digital audio embedded machine learning memory devices circuit simulation circuit design memory architectures voltage-mode accumulator row-by-row adc scalable cmos spin states in-memory computation finite difference method hardware accelerator loop filter deep trench capacitor time-domain wavefront artificial neural networks microarchitecture mathematical optimization computational optimization global optimization information management information technology field programmable gate array advanced computing electronic memory vlsi architecture recurrent neural networks transactional systems scalable computing timing analysis multi-rate signal processing image sensors satisfiability power semiconductor devices column adcs embedded adcs

Notable Scholarly Works

Notable Federal Grants

Collaborators

10.8 Cobi: A Degree-Of-56 Column-Bipartite Densely Connected Digital Ising Chip With 8B Spin Coefficients. (2026)

physicssystem on chipcomputer engineeringspin coefficientsintegrated circuitsquantum engineeringvlsi technologyvlsi circuit

M-Zephyr: A Digital In-Memory Ising Chip With 240 Spins Featuring Enhanced Connectivity Based on a Modified 3D Zephyr Topology. (2025)

zephyr topologyenhanced connectivitysystem on chipmemory architecturescomputer engineeringmodified 3dspintronicsemerging memory technologiesintegrated circuitselectrical engineeringmicroelectronicsapplied physicsmemory devicesvlsi technologyvlsi circuit

VERIFICA: A 65Nm In-Memory Symbolic Interval Computing Accelerator for a Formal Neural Network Verification. (2025)

neural network (machine learning)theory of computationverificationcomputer engineeringhardware accelerationformal methodsneural computationhigh performance computer architecturefield programmable gate arraycomputational intelligencecomputer-aided verificationcomputer sciencehardware algorithmsymbolic computation

15.5 Lisa: A 576×4 All-In-One Replica-Spins Continuous-Time Latch-Based Ising Computer Using Massively-Parallel Random-Number Generations and Replica Equalizations. 2022 IEEE International Solid- State Circuits Conference (ISSCC) (2024)

Jooyoung BaeJahyun KooChaeyun ShimBongjin Kim

machine learningmassively-parallel random-number generationsparallel computingreplica equalizationscomputer science

15.6 E-Chimera: A Scalable Sram-Based Ising Macro With Enhanced-Chimera Topology for Solving Combinatorial Optimization Problems Within Memory. 2022 IEEE International Solid- State Circuits Conference (ISSCC) (2024)

Jooyoung BaeChaeyun ShimBongjin Kim

scalabilityenhanced-chimera topologycombinatorial optimizationcombinatorial optimization problemscomputer science

30.3 Vip-Sat: A Boolean Satisfiability Solver Featuring 5×12 Variable In-Memory Processing Elements With 98% Solvability for 50-Variables 218-Clauses 3-Sat Problems. 2022 IEEE International Solid- State Circuits Conference (ISSCC) (2024)

Chaeyun ShimJooyoung BaeBongjin Kim

satisfiabilitymachine learningmathematical optimizationboolean satisfiability solverformal methodscomputer science

A Dual 7T Sram-Based Zero-Skipping Compute- In-Memory Macro With 1-6B Binary Searching Adcs for Processing Quantized Neural Networks. IEEE Transactions on Circuits and Systems I Regular Papers (2024)

Chengshuo YuHaoge JiangJunjie MuKevin Tshun Chuan ChaiTony Tae-Hyoung KimBongjin Kim

embedded machine learningsystems engineeringdigital signal processingsemiconductorselectrical engineeringpower electronicsmachine learningquantized neural networkscomputer science

A Scalable and Reconfigurable Bit-Serial Compute-Near-Memory Hardware Accelerator for Solving 2-D/3-D Partial Differential Equations. IEEE Journal of Solid-State Circuits (2024)

Junjie MuChengshuo YuTony Tae-Hyoung KimBongjin Kim

systems engineeringreconfigurable architecturessemiconductor devicescomputer engineeringcomputational electromagneticshardware accelerationaccelerator technologysolid-state electronicselectrical engineering

FLEXSPIN: A Cmos Ising Machine With 256 Flexible Spin Processing Elements With 8-B Coefficients for Solving Combinatorial Optimization Problems. IEEE Journal of Solid-State Circuits (2024)

Yuqi SuTony Tae-Hyoung KimBongjin Kim

combinatorial optimization problemsparallel computingelectrical engineeringcombinatorial optimization

Quantized Context Based Lif Neurons for Recurrent Spiking Neural Networks in 45nm. arXiv (Cornell University) (2024)

Sai Sukruth BezugamYihao WuJaeBum YooDmitri StrukovBongjin Kim

cognitive neuroscienceneural networkscomputational neurosciencedeep learningsystems neurosciencelif neuronsmachine learningneuroscience

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Bongjin Kim

Assistant Professor

University of California, Santa Barbara

Affiliations

College of Engineering

Electrical and Computer Engineering

Bongjin Kim is currently serving as a College Of Engineering Assistant Professor at University of California, Santa Barbara.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Bongjin Kim

University of California, Santa Barbara

Assistant Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

10.8 Cobi: A Degree-Of-56 Column-Bipartite Densely Connected Digital Ising Chip With 8B Spin Coefficients. (2026)

physicssystem on chipcomputer engineeringspin coefficientsintegrated circuitsquantum engineeringvlsi technologyvlsi circuit

M-Zephyr: A Digital In-Memory Ising Chip With 240 Spins Featuring Enhanced Connectivity Based on a Modified 3D Zephyr Topology. (2025)

VERIFICA: A 65Nm In-Memory Symbolic Interval Computing Accelerator for a Formal Neural Network Verification. (2025)

Jooyoung BaeJahyun KooChaeyun ShimBongjin Kim

machine learningmassively-parallel random-number generationsparallel computingreplica equalizationscomputer science

Jooyoung BaeChaeyun ShimBongjin Kim

scalabilityenhanced-chimera topologycombinatorial optimizationcombinatorial optimization problemscomputer science

Chaeyun ShimJooyoung BaeBongjin Kim

satisfiabilitymachine learningmathematical optimizationboolean satisfiability solverformal methodscomputer science

Chengshuo YuHaoge JiangJunjie MuKevin Tshun Chuan ChaiTony Tae-Hyoung KimBongjin Kim

embedded machine learningsystems engineeringdigital signal processingsemiconductorselectrical engineeringpower electronicsmachine learningquantized neural networkscomputer science

A Scalable and Reconfigurable Bit-Serial Compute-Near-Memory Hardware Accelerator for Solving 2-D/3-D Partial Differential Equations. IEEE Journal of Solid-State Circuits (2024)

Junjie MuChengshuo YuTony Tae-Hyoung KimBongjin Kim

FLEXSPIN: A Cmos Ising Machine With 256 Flexible Spin Processing Elements With 8-B Coefficients for Solving Combinatorial Optimization Problems. IEEE Journal of Solid-State Circuits (2024)

Yuqi SuTony Tae-Hyoung KimBongjin Kim

combinatorial optimization problemsparallel computingelectrical engineeringcombinatorial optimization

Quantized Context Based Lif Neurons for Recurrent Spiking Neural Networks in 45nm. arXiv (Cornell University) (2024)

Sai Sukruth BezugamYihao WuJaeBum YooDmitri StrukovBongjin Kim

cognitive neuroscienceneural networkscomputational neurosciencedeep learningsystems neurosciencelif neuronsmachine learningneuroscience

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Similar Faculty Members

Jaydeep Kulkarni

Institution

University of Texas at Austin

memetic computing

advanced computing

PIERRE-EMMANUEL GAILLARDON

Institution

University of Utah

design

electronic design automation

Amit Ranjan Trivedi

Institution

University of Illinois Chicago

industrial artificial intelligence

ai architecture

Peng Li

Institution

University of California, Santa Cruz

electronic design automation

brain-like computing

Dmitri Strukov

Institution

University of California, Santa Barbara

Puneet Gupta

Institution

University of California, Los Angeles

design

electronic design automation

Dejan Markovic

Institution

University of California, Los Angeles

neural interface

brain-like computing

Naveen Verma

Institution

Princeton University

electrical engineering

optoelectronics

Michael Niemier

Institution

University of Notre Dame

parallel computing

computer engineering

Borivoje Nikolic

Institution

University of California, Berkeley

electrical engineering

engineering