EEProfessor Junil Choi’s Research Team Won the Excellence Prize at the 2022 ICT Academic Paper Competition

Professor Junil Choi’s lab received the Best Paper Award at the 2022 ICT Academic Paper Competition.


[Prof. Junil Choi, Hyesang Cho, Beomsoo Ko, from left]
– Award Name: Excellence Prize
– Paper Title: Coverage Increase at THz Frequencies: A Cooperative Rate-Splitting Approach.
– Authors: Hyesang Cho, Beomsoo Ko, and Junil Choi (Advisor)
– Conference name: 14th ICT Academic Paper Competition with ET NEWS
– Date: December 16, 2022
Terahertz (THz) communication suffers from low coverage due to the harsh propagation loss, blockage vulnerability, and hardware constraints.
To overcome this limitation, the research team led by Professor Junil Choi proposed a communication framework exploiting cooperative communication and rate-splitting multiple access.
The proposed framework and techniques have shown to successfully increase coverage in THz frequency bands.




EE Prof. Hyun Myung’s team jointly won Innovation Award at CES 2023


KAIST EE Professor Hyun Myung’s team collaborated with Hill’s Robotics (CEO Myung-gyu Park), a company that transferred technology, at the world’s largest new technology fair, ‘CES 2023’ held annually in Las Vegas, USA, to develop robotics ( Robotics) sector CES 2023 Innovation Award.


Hi-bot of Hills Robotics is a high-tech self-driving robot based on simultaneous localization and mapping technology (hereinafter referred to as SLAM) using a low-cost 2D laser scanner by Professor Hyun Myung’s team.


It was awarded the Innovation Award for its technical distinction.


First, it is an effective non-face-to-face meeting support function. Instead of the existing 2D hologram expression method, they used a 360-degree omnidirectional stereoscopic hologram technology to implement the world’s smallest metaverse type, docent/non-face-to-face meeting support function.


Second, it is a disease prevention and quarantine function that meets the pandemic era. It uses a non-contact touch screen method to block the transmission of contamination due to contact and provides a plasma air disinfection function.


Lastly, it is a multi-functional mobile platform with built-in AI and SLAM-based self-driving intelligent platform SOLOMAN and can be used in various environments.


In addition to this, it can be seen as an artificial intelligence-based quarantine/docent/guide robot suitable for the With Corona era in that it has sterilization/air cleaning/therapy functions in consideration of various indoor environments and customer tastes.


It is expected to be used in multi-sure public places such as domestic and foreign museums, hospitals, and airports.


In addition to CES 2023 Hi-bot, Hills Robotics (formerly Hills Engineering), to which Professor Hyun Myung’s team transferred technology, they won the CES Innovation Award in the past years with Coro-bot CES 2021 and Hey-bot CES 2022.


Professor Joonhyuk Kang (Head) of the School of Electrical Engineering said, “Professor Hyun Myung’s research team won the Prize at the Future Challenge Defense Technology Drone Competition last week, so winning the CES 2023 Innovation Award is even more meaningful. We will actively support the scientific contribution of technology transfer that we plan to hold the 2023 mobility technology show with KAMA.”



KAIST EE Prof. Shinhyun Choi’s team develop highly reliable synthetic synapse transistor

[Seok-Ho Seo (M.S. candidate), Dong-Hoon Kim (M.S.), Beom-Jin Kim (M.S.), Seung-Woo Park (M.S. candidate), Professor Shinhyun Choi]


KAIST EE professor Shinhyun Choi and his research team announced on 16th that they successfully developed a synthetic synapse transistor, whose durability allows it to perform repetitive operations with high reliability. The developed transistor, which emulates the behaviors of a neurotransmitter in a human brain, can also increase the learning accuracy of artificial intelligence (AI) without requiring additional circuits. By not only exploiting the structure utilized in conventional NAND Flash memory but also successfully coping with its low durability, Professor Choi and his research team were able to develop the transistor that can reliably play the role of a synapse. 


This research accomplishment was published in the October editorial of Nature communications under the title of “The gate injection-based field-effect synapse transistor with linear conductance update for online training”, in which Seok-Ho Seo (M.S. candidate), Dong-Hoon Kim (M.S.), Beom-Jin Kim (M.S.), and Seung-Woo Park (M.S. candidate) were all listed as co-first authors. 


KAIST EE M.S. candidate Seok-Ho Seo stated that “In addition to this research project, I want to keep on developing novel device technologies for neuromorphic computing.”

This research was supported in part by National Research Foundation of Korea, Korea Evaluation Institute of Industrial Technology, National NanoFab center, and Samsung Science & Technology Foundation.


EE Prof. Hyunjoo Jenny Lee’s team : sleep deprivation and short-term memoery therapy with brainwave monitoring and ultrasound stimulation

[KAIST EE Prof. Hyunjoo Jenny Lee , Ph.D. candidate Yehhyun Jo, KBRI  Dr. Jeongyeon Kim, from left]

 On Nov. 8th, Professor Hyunjoo Jenny Lee (KAIST EE) and Dr. Jeongyeon Kim (Korea Brain Research Institute, KBRI) announced a joint development of a general-purpose ultrasound stimulation and monitoring system for the brain activity of small animals.


This technology can stimulate the brain depending on the sleeping condition monitored in real-time, and the research team demonstrated that sleep patterns and short-term memory could be controlled through stimulation of the prefrontal cortex (PFC) during the non-rapid-eye movement (NREM) sleep cycle.

 The conventional ultrasound stimulation systems are either too large to be used on free-moving mice, or difficult to use for simultaneous measurements due to large noise signals.


Professor Hyunjoo Lee’s team sought to solve these issues through MEMS-based CMUT (Capacity Micromachined Ultrasound Transducer) research and was able to develop a customizable, closed-loop system that stimulates the brain based on its current state. Their closed-loop stimulation algorithm is able to analyze the sleep phase every 6 seconds and deliver ultrasound stimulation during the NREM sleep cycle, both in a simultaneous process without significant noise. Stimulating the PFC of sleep-deprived mice for 10 hours during NREM sleep cycle showed an increase in rapid-eye movement (REM) sleep duration and short-term spatial memory protection from acute sleep deprivation.


“Ultrasound is a very safe human body irradiation technology, enough that it is used even for fetal imaging”, says Professor Hyunjoo Jenny Lee, “and it is a very attractive means of noninvasive treatment because its radiation can be intensively focused deep inside the body without spreading.” She added, “however, there is little research on the efficacy of ultrasound stimulation due to the lack of preclinical stimulation systems. I hope that our work could be used by many brain science research teams in discovering various therapeutic effects of ultrasound.”


The study was led by Ph.D. candidate Yehhyun Jo (KAIST EE) under professor Hyunjoo Lee, and Dr. Jeongyeon Kim’s research team, with participation of Seong-Gi Kim (Head of Center for Neuroscience Imaging Research, Institute of Basic Science), Dr. Byung Chul Lee (KAIST), and professor Greg S.B. Suh (KAIST Department of Biological Sciences). Their work was published on Oct. 19th in the international journal Advanced Science, and was selected as the Research Headline by the publisher Wiley. (Title: General-purpose ultrasound neuromodulation system for chronic, closed-loop preclinical studies in freely behaving rodents)


This research was supported by the Next Generation Intelligence Semiconductor Program through National Research Foundation (NRF) funded by the Ministry of Science and ICT (MSIT), the Engineering Research Center of Excellence (ERC) Program, Korea Brain Research Institute’s Basic Research Program, and the Korea Medical Device Development Fund.


Reference link :

MS course Wonhoon Park (Prof. Hoi-Jun Yoo), won the Distinguished Design Award at ’22 IEEE A-SSCC

[Prof. Hoi-Jun Yoo,  Wonhoon Park ]
EE MS student  Wonhoon Park (Advised by Hoi-Jun Yoo), won the Distinguished Design Award at the 2022 IEEE Asian Solid-State Circuits Conference (A-SSCC) Student Design Contest.
The conference was held in Taipei, Taiwan from November 6th to 9th.
A-SSCC is an international conference held annually by IEEE. M.S. student Wonhoon Park has published a paper titled “An Efficient Unsupervised Learning-based Monocular Depth Estimation Processor with Partial-Switchable Systolic Array Architecture in Edge Devices” and was selected as a winner for its excellence.
Details are as follows. 
-Conference: 2022 IEEE Asian Solid-State Circuits Conference (A-SSCC)
-Location: Taipei, Taiwan
-Date: November 6-9, 2022
-Award: Student Distinguished Design Award
-Authors: Wonhoon Park, Dongseok Im, Hankyul Kwon, and Hoi-Jun Yoo (Advisory Professor)
-Paper Title: An Efficient Unsupervised Learning-based Monocular Depth Estimation Processor with Partial-Switchable Systolic Array Architecture in Edge Devices

EE Prof. Joo-Young Kim’s ITRC Center won the Award of Ministry of STIC

[Prof. Joo-Young Kim ]
On November 10, the Artificial Intelligence Semiconductor System Research Center (AISS), led by Professor Joo-Young Kim of KAIST, was awarded the Minister of Science, Technology and Information Technology Award in recognition of its outstanding talent cultivation performance.
AISS, headed by Professor Joo-Young Kim, has been carrying out the university ICT research center fostering support project of the Ministry of Science and ICT since 2020, dedicating efforts to nurturing talented people from various angles.
Particularly in 2021, 96 student researchers were continuously educated through various themes and programs such as internships, technology transfer, entrepreneurship education, and creative initiatives. It has become a model for other centers by recording remarkable achievements such as employment.
AISS is currently carrying out active research activities under the project responsibility of Professor Joo-Young Kim, KAIST Research Director, Hoe-Jun Yoo, Yi-Seop Kim, In-Cheol Park, Seung-Tak Ryu, Hyun-Sik Kim, Yonsei University Han-Jun Kim, Jin-Ho Song, Ji-Hoon Kim, Seong-Min Park of Ewha Womans University, and Kyu-Ho Lee of UNIST. In addition, there has been a 10% increase from 2021 with 110 masters and doctoral-level students participating in taking a strong step towards becoming a Korean hub in the field of artificial intelligence semiconductors.
Professor Joo-Young Kim, the research director who won the award, said, “We will continue to strengthen the link with leading universities and companies in Korea based on the university’s ICT and intelligent semiconductor technology capabilities to foster system semiconductor manpower essential for Korea to become a true semiconductor technology powerhouse.”


EE Prof. Yoo elected as the TC Member for IEEE Signal Processing Society

[EE Professor Yoo picture]
EE Professor Yoo has been elected as the Technical Committee(TC) Member for IEEE Signal Processing Society and will be contributing to various IEEE Signal Processing functions that includes conferences, awards and education.
IEEE Signal Processing Society was founded as IEEE’s first society in 1948 and it is the world’s premier association for signal processing engineers and industry professionals.
Engineers around the world look to the Society for information on the latest developments in signal processing filed.
Its deeply rooted history spans almost 70 years, featuring  a membership base of more than 19,000 deeply interested and involved signal processing engineers, adcademics, industry professionals and students who are all part of a dynamic global community- spanning 100 countries world wide. 

EE Prof. Shinhyun Choi’s team, selected for Nature Communications Editors’ highlight

[Ph.D. candidate See-On Park, Ph.D. candidate Hakcheon Jeong, Master course Jong-Yong Park and Professor Shinhyun Choi, From left] 


See-On Park, Hakcheon Jeong, Jong-Yong Park, researchers under EE Professor Shinhyun Choi, developed a highly reliable variable resistor (memristor) array that simulates the behavior of neurons using a metal oxide layer with an oxygen concentration gradient, and published their work in Nature Communications.

The study was selected for the Nature Communications’ Editor’s highlight, as well as for the Featured Image on the journal website’s front page. 


Link :


At KAIST, their research was introduced as one of the breakthrough researches of Fall 2022 within the College of Engineering. 


[Figure 1. The Featured Image in the Nature Communications front page introducing the KAIST team’s research on the memristor for artificial neurons] 


(Thesis title: Experimental demonstration of highly reliable dynamic memristor for artificial neuron and neuromorphic computing) 

This research was conducted with the support from the Samsung Research Funding & Incubation Center of Samsung Electronics



EE Prof. Sanghun Jeon receives commendation from The Ministry of Trade, Industry, and Energy at the 15th Semiconductor Day

[Professor Sanghun Jeon]



KAIST EE Professor Sanghun Jeon received commendation from the Ministry of Trade, Industry, and Energy at the 15th Semiconductor Day. 

Celebrating its 15th anniversary this year, Semiconductor day is an annual event in which those who contributed to the development of the semiconductor industry are recognized and commended for their efforts in the field of industry, academia, and research. It first started in order to celebrate October of 1994, the first year in which the export of semiconductor for South Korea reached over 10 billion US dollars for the first time ever. The event holds special significance this year in that 2022 marks the 32th anniversary of Korea Semiconductor Industry Association (KSIA, founded in November 11th, 1991), infusing the semiconductor industry with hope of overcoming new challenges through innovation.

Sanghun Jeon was nominated for the commendation from the Ministry of Trade, Industry, and Energy thanks to his worldwide leadership and contribution in innovating thin-film processes and device manufacturing, creating research breakthroughs that help the commercialization of ferroelectric hafnium devices that are highly suitable for CMOS process.

Unlike the conventional devices whose computational capabilities are constrained by Moore’s law and von Neumann computer architectures and thereby impose significant limitation on device performance and energy efficiency, ferroelectric hafnium devices are expected to bring into reality Edge Intelligence (EI), which allows the local analysis of dataset and autonomous decision-making.

Sanghun Jeon and his research lab are developing key effective technologies related to ferroelectric hafnium devices, which are expected to play a key role in future device industry. The relevant research accomplishments were presented at IDEM 2021, one of the most prestigious conferences in the field of electronic devices. They will also be presented at IDEM 2022. 


EE Prof. Hyuncheol Shim’s team won 1st place in 5th Army Tiger DroneBot Mission Challenge

[Prof. David Hyunchul Shim]


Professor David Hyunchul Shim’s team (PhD Student Boseong Kim, M.S. Student Jaeyong Park)  won 1st place in the indoor reconnaissance drone section of the 5th Army Tiger DroneBot Mission Challenge (held on Aug. 31) hosted by the Army Headquarters and the team deserved 10 million won prize money.
The awards ceremony was held on Oct. 4 at the Republic of Korea Army Training and Doctrine Command (ROKA TRADOC).
The teams are required to fly from the parking lot outside of the building, enter the building through a window on the second floor, and explore the inside of the building autonomously. The drone needed to find hidden objects, send the results to the ground station in real time, and come back to the home position after completing the missions.
Professor Hyunchul Shim’s research team performed all the missions flawlessly using various algorithms and techniques, such as in-house 3D LiDAR-based localization (SLAM), 3D obstacle avoidance path planning, onboard real-time object detection, and autonomous exploration algorithm in the unknown area.
Among eight participants (four teams withdrew) Professor Shim’s team was the only team that performed a completely autonomous flight from takeoff to return, showing an overwhelming ability to perform such complex missions which difficult for human pilots.
The indoor autonomous flight algorithm developed by the team is the key technology for indoor reconnaissance drones to be used in future battlefield and disaster situations. Once again, this competition showed KAIST’s autonomous flight drone technology capabilities.
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