World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
59
Citations
15229
World Ranking
1722
National Ranking
691

Research.com Recognitions

  • 2001 - ACM Fellow For outstanding contributions to computer-aided design for performance and reliability of CMOS VLSI and optoelectronic circuits and systems for high performance computing and communications.
  • 1990 - IEEE Fellow For technical contributions to and leadership in the development of computer-aided design of very-large-scale integrated (VLSI) circuits and systems.

Overview

Sung-Mo Kang is a researcher affiliated with the Korea Advanced Institute of Science and Technology in South Korea. Their work spans across several fields including engineering and neuroscience, with a focus on electrical and electronic engineering as well as cellular and molecular neuroscience. Their research portfolio is particularly concentrated on advanced memory and neural computing, neuroscience and neural engineering, and ferroelectric and negative capacitance devices.

The scientist has contributed to the body of knowledge on neural dynamics and brain function, CCD and CMOS imaging sensors, photoreceptor and optogenetics research, and neural networks stability and synchronization. This multidisciplinary approach aligns with their research interests bridging electronics and biological systems.

Frequent collaboration has been a notable aspect of their career, working extensively with coauthors such as Xiaoyuan Wang, Herbert Ho-Ching Iu, Jason K. Eshraghian, Rajeev Kumar Ranjan, and Xinhui Chen. These partnerships have supported a productive output of scholarly articles primarily published in IEEE journals.

Publications are predominantly found in the following venues:

  • IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE Circuits and Systems Magazine
  • Nonlinear Dynamics
  • IEEE Transactions on Circuits & Systems II Express Briefs
  • IEEE Journal on Emerging and Selected Topics in Circuits and Systems

Among recent papers authored or coauthored by Sung-Mo Kang are:

  • "High-Density Memristor-CMOS Ternary Logic Family" (2020), IEEE Transactions on Circuits and Systems I Regular Papers
  • "Theoretical Foundations of Memristor Cellular Nonlinear Networks: A DRM2-Based Method to Design Memcomputers With Dynamic Memristors" (2020), IEEE Transactions on Circuits and Systems I Regular Papers
  • "Low-Variance Memristor-Based Multi-Level Ternary Combinational Logic" (2022), IEEE Transactions on Circuits and Systems I Regular Papers
  • "Gradient-Based Neuromorphic Learning on Dynamical RRAM Arrays" (2022), IEEE Journal on Emerging and Selected Topics in Circuits and Systems
  • "A Memristor Emulation in 180-nm CMOS Process for Spiking Signal Generation and Chaos Application" (2024), IEEE Transactions on Circuits and Systems I Regular Papers

Sung-Mo Kang's contributions have been recognized by two major fellowships. They were named an ACM Fellow in 2001, cited for contributions to computer-aided design for the performance and reliability of CMOS VLSI and optoelectronic circuits and systems. Earlier, in 1990, they were awarded IEEE Fellow status for technical contributions and leadership in the development of computer-aided design of very-large-scale integrated circuits and systems.

Best Publications

  • Memristive devices and systems

    L.O. Chua;Sung Mo Kang

  • CMOS Digital Integrated Circuits Analysis & Design

    Sung-Mo (Steve) Kang;Yusuf Leblebici

  • Memristor Applications for Programmable Analog ICs

    Sangho Shin;Kyungmin Kim;Sung-Mo Kang

  • An exact solution to the transistor sizing problem for CMOS circuits using convex optimization

    S.S. Sapatnekar;V.B. Rao;P.M. Vaidya;Sung-Mo Kang

  • Section-wise piecewise-linear functions: Canonical representation, properties, and applications

    L.O. Chua;Sung Mo Kang

  • Accurate simulation of power dissipation in VLSI circuits

    S.M. Kang

  • Cell-level placement for improving substrate thermal distribution

    Ching-Han Tsai;Sung-Mo Kang

  • Compact Models for Memristors Based on Charge-Flux Constitutive Relationships

    Sangho Shin;Kyungmin Kim;Sung-Mo Kang

  • A simple rate-equation-based thermal VCSEL model

    P.V. Mena;J.J. Morikuni;S.-M. Kang;A.V. Harton

  • Coupling-driven signal encoding scheme for low-power interface design

    Ki-Wook Kim;Kwang-Hyun-Baek;N. Shanbhag;C.L. Liu

  • ILLIADS-T: an electrothermal timing simulator for temperature-sensitive reliability diagnosis of CMOS VLSI chips

    Yi-Kan Cheng;P. Raha;Chin-Chi Teng;E. Rosenbaum

  • Memristors: Devices, Models, and Applications [Scanning the Issue]

    Pinaki Mazumder;Sung Mo Kang;Rainer Waser

  • A comprehensive circuit-level model of vertical-cavity surface-emitting lasers

    P.V. Mena;J.J. Morikuni;S.-M. Kang;A.V. Harton

  • Modeling and simulation of interconnection delays and crosstalks in high-speed integrated circuits

    D.S. Gao;A.T. Yang;S.M. Kang

  • Metal--Metal Matrix (M /sup 3/) for High-Speed MOS VLSI Layout

    Sung Mo Kang

  • Development of a wide tuning range MEMS tunable capacitor for wireless communication systems

    Jun Zou;Chang Liu;J. Schutt-Aine;Jinghong Chen

  • Electrothermal Analysis of VLSI Systems

    Yi-Kan Cheng;Ching-Chi Teng;Sung-Mo Kang;Ching-Han Tsai

  • Worst-case analysis and optimization of VLSI circuit performances

    A. Dharchoudhury;S.M. Kang

  • A global representation of multidimensional piecewise-linear functions with linear partitions

    S. Kang;L. Chua

  • Interconnect thermal modeling for accurate simulation of circuit timing and reliability

    Danqing Chen;Erhong Li;E. Rosenbaum;Sung-Mo Kang

Frequent Co-Authors

Yusuf Leblebici
Yusuf Leblebici École Polytechnique Fédérale de Lausanne
Elyse Rosenbaum
Elyse Rosenbaum University of Illinois at Urbana-Champaign
Chulwoo Kim
Chulwoo Kim Korea University
Sachin S. Sapatnekar
Sachin S. Sapatnekar University of Minnesota
Ali Shakouri
Ali Shakouri Purdue University West Lafayette
Kwyro Lee
Kwyro Lee Korea Advanced Institute of Science and Technology
Chang Liu
Chang Liu University of Chinese Academy of Sciences
Ilesanmi Adesida
Ilesanmi Adesida University of Illinois at Urbana-Champaign
James J. Coleman
James J. Coleman The University of Texas at Dallas
M. S. Ünlü
M. S. Ünlü Boston University

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