Department of Electronics and Nanoengineering

Kwantae Kim Group

The group's research focuses on power-efficient analog/mixed-signal ICs for Biomedical and Neuromorphic sensor systems, aiming to create ultra-low-power, digital-friendly analog circuits for compact Artificial Intelligence (AI)-embedded IoT platforms.
Kwantae Kim

The rapid advancement of Internet-of-Things (IoT) sensor platforms is revolutionizing our lives, demanding unprecedented improvements in power efficiency, computation latency, task complexity, and form factors. We expect the next phase of IoT will feature Tiny, Sensory, Intelligent, and Wireless capabilities. 

Kwantae Kim's group's ultimate research goal is to democratize these features of IoT platform, envisioning a future where everyone can enjoy the benefits. 

To arrive at this goal, this requires Integrated Circuit (IC) designers to develop highly integrated System-on-Chips (SoCs) that operate efficiently within limited energy and space.

The group's research focuses on power-efficient analog/mixed-signal ICs for Biomedical and Neuromorphic sensor systems, aiming to create ultra-low-power, digital-friendly analog circuits for compact Artificial Intelligence (AI)-embedded IoT platforms.

Interested? Please check further details on this website! https://kwantaekim.github.io

Latest publications

A 1.92um Pitch Current-Controlled Oscillator ADC Array Featuring Charge-Injection-Based Two-Stage Conversion for In-Memory Computing

David Iselin, Kyeongwon Jeong, Tim Keller, Giorgio Cristiano, Kwantae Kim, Woojun Choi, Oscar Toomey, Abhairaj Singh, Athanasios Vasilopoulos, Abu Sebastian, Manuel Le Gallo, Taekwang Jang 2026 2026 IEEE Custom Integrated Circuits Conference, CICC 2026 - Proceedings

EinChip: A 4.6/1.5 TOPS/W 6/24b Log-compute Einsum-based Accelerator for Neuro Symbolic AI

Lingyun Yao, Shirui Zhao, Marian Verhelst, Martin Andraud 2026 2026 IEEE Custom Integrated Circuits Conference, CICC 2026 - Proceedings

DeltaKWS: A 65nm 36nJ/Decision Bio-inspired Temporal-Sparsity-Aware Digital Keyword Spotting IC with 0.6V Near-Threshold SRAM

Qinyu Chen, Kwantae Kim, Chang Gao, Sheng Zhou, Taekwang Jang, Tobi Delbruck, Shih-Chii Liu 2025 IEEE Transactions on Circuits and Systems for Artificial Intelligence

A 2.3nA-to-205nA Clock-Tunable Dynamic Current Reference with a Built-in 2nd-Order Current-Mode Low-Pass Filter and Coarse-Fine Regulation

Kaiyuan Jiang, Youngwoo Ji, Marko Kosunen, Kwantae Kim 2025 2025 23rd IEEE Interregional NEWCAS Conference, NEWCAS 2025

A Unipolar IGZO TFT-based 9.23 μw Operational Amplifier Achieving 73.7 dB Loop Gain and 554.6 kHz Bandwidth

Zhenhan Wang, Kwantae Kim 2025 Proceedings - 21st IEEE Biomedical Circuits and Systems, BioCAS 2025

LogSumExp: Efficient Approximate Logarithm Acceleration for Embedded Tractable Probabilistic Reasoning

Lingyun Yao, Shirui Zhao, Martin Trapp, Jelin Leslin, Marian Verhelst, Martin Andraud 2025 IEEE Transactions on Circuits and Systems I: Regular Papers

An 8.62μW 75dB-DRSoCEnd-to-End Spoken-Language-Understanding SoC with Channel-Level AGC and Temporal-Sparsity-Aware Streaming-Mode RNN

Sheng Zhou, Zixiao Li, Tobi Delbruck, Kwantae Kim, Shih Chii Liu 2025 2025 IEEE International Solid-State Circuits Conference, ISSCC 2025

An 8.62-μW 75-dB DRSoC Fully Integrated SoC for Spoken Language Understanding

Sheng Zhou, Zixiao Li, Longbiao Cheng, Jerome Hadorn, Chang Gao, Qinyu Chen, Tobi Delbruck, Kwantae Kim, Shih Chii Liu 2025 IEEE Journal of Solid-State Circuits

Open-Source Silicon—Unleashing Innovation and Collaboration

Matthew Guthaus, Kwantae Kim, Francisco Brito-Filho, Satoshi Kawakami, Boris Murmann 2024 IEEE Design & Test
More information on our research in the Aalto research portal.
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