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School of Electrical Engineering We thrive
to be the world’s
top IT powerhouse.
We thrive to be the world’s top IT powerhouse.

Our mission is to lead innovations
in information technology, create lasting impact,
and educate next-generation leaders of the world.

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School of Electrical Engineering We thrive
to be the world’s
top IT powerhouse.
We thrive to be the world’s top IT powerhouse.

Our mission is to lead innovations
in information technology, create lasting impact,
and educate next-generation leaders of the world.

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AI in EE AI and machine learning
are a key thrust
in EE research
AI and machine learning are a key thrust in EE research

AI/machine learning  efforts are already   a big part of   ongoing
research in all 6 divisions - Computer, Communication, Signal,
Wave, Circuit and Device - of KAIST EE 

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Highlights

[Prof. Jaehyouk Choi]

 

Prof. Jaehyouk Choi has been appointed as an Associate Editor of Journal of Solid-State Circuits (JSSC), which is the most prestigious journal in the field of semiconductor circuit design published by the International Electrical and Electronic Engineers (IEEE) Solid-State Circuit Society (SSCS).

 

IEEE SSCS is the world’s largest semiconductor integrated circuit society with over 10,000 members worldwide, and the JSSC journal published by SSCS is the most downloaded journal of IEEE Xplore with a history of 56 years. Currently, 19 experts around the world are serving as editors, and two members are active in Korea.

 

Prof. Jaehyouk Choi researches high-speed wired/wireless communications and next-generation memory interface circuits and has published 19 JSSC papers and 18 International Solid-State Circuits Conference (ISSCC) papers as the corresponding author over the past 7 years. In particular, he is recognized for its world-class research achievements in the field of “ultra-low-noise high-frequency signal generation circuit designs”.

 

The list of editors of the IEEE JSSC can be found at the link below.

https://sscs.ieee.org/publications/ieee-journal-of-solid-state-circuits-jssc/jssc-editorial-board

 

 

 

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.
 

 

 

 

 

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.”

 

Link: 

https://news.kaist.ac.kr/news/html/news/?mode=V&mng_no=24950

https://digitalchosun.dizzo.com/site/data/html_dir/2022/11/17/2022111780240.html

https://www.etnews.com/20221117000327

[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.

 

[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 : 

[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

Preparation of Documents for Readmission for Spring 2023

 

Acceptance of application

ㅇ To be accepted by mail or in person
※ Applicant’s applications must arrive by December 15, 2022.

ㅇ Address : EE Department Office(E3-2, #1212), KAIST, 291, Yuseong-gu, Daejeon, 34141

Advisor’s Opinion

ㅇ Applicants should contact the advisor, and have a face-to-face or
non-face-to-face interview with him/her.

ㅇ The Advisor’s Opinion should be prepared by the advisor and submitted to the
department office directly.

Signature of advisor/department head

ㅇ Applicants must submit the application to the department office after receiving the signatures of the advisor and the department head.

Application for Department Transfer

ㅇ Complete the application form including the signature of applicant and guarantor.

ㅇ Applicants should have an interview with both the current and prospective advisors.

ㅇ The application form should be submitted to the respective department offices
after obtaining the signatures of the advisors and department heads of both the
current department and prosepective department the applicant is applying to.

Method of Review by Department/Division: face-to face or non-face-to-face interview

※ When conducting an interview by department, please observe the self-responsible quarantine system under the responsibility of the department head

Method of Review by Dean of Student Affairs and Policy (applicable to
undergraduate students only): face-to face or non-face-to-face interview

※ Each applicant would receive information of the interview by e-mail from the Office
of Academic Affairs.

 

  1. Eligibility: Dropouts and expelled students of undergraduate and graduate programs

 

  1. Deadlines

1) Submission by Students : Submit to the department/division office by

December 15 (Thu.), 2022.

2) Evalution by Departments/divsions : December 16 (Fri.) ~ December 30 (Fri.), 2022

3) Submission of Departments/divisions evaluation result to Academic Registrar’s Team:

December 30 (Fri.), 2022

 

  1. Conditions for readmission

1) Students who belong to the following categories are not eligible for readmission.

– (Up to students enrolled in 2008) Those who are expelled for exceeding
enrollment duration limit.

– (Starting from students enrolled in 2009) Those who are expelled for exceeding
enrollment duration limit or who are expelled or voluntarily withdraw after getting
enrollment duration limit extended.

2) Readmission is possible after 2 semesters including the semester in which dropping
out or expulsion occurred.

  1. Readmission application and review procedures

Application for Readmission

Department/

Division

Review

Review by Dean of Student Affairs & Policy

(undergraduate students)

Review by Academic and Research Review Committee

Approval by Provost

 

Readmission with changing of major

Application for Readmission

Prepare two copies of each required document*, and submit to both the current department and the new department.

* In addition to the application for readmission, future study plan, opinion of advisor on readmission, and Academic transcript, applicants seeking readmission to a different department must submit an application for department transfer, and undergraduate applicants who have not declared major but decided his/her department must submit a declaration of major(undergraduate).

 

Department/

Division Review

Review by both the Current and new departments

※ Students who have not declared major shall go through the new department/division review only.

 

Review by Dean of Student Affairs & Policy(undergraduate students)

 

Review by Academic and Research Review Committee

 

Approval by Provost

 

  1. Recommendation for readmission by department/division

1) The candidate is evaluated on academic capacity, remaining number of semesters,

and possibility of graduation based on the advisor’s opinion on readmission and
future study plan by a three-member review committee consisting of the advisor,
department/division head, and department/division rofessor or a department/division

-related committee.

2) For undergraduate students, the Dean of Student Affairs and Policy will interview
the recommended candidate and results will be announcedthrough the Academic
and Research Review Committee.

 

  1. Required documents for readmission

1) Application for readmission (prescribed form) – to be submitted by applicant

2) Future study Plan (prescribed form) – to be submitted by applicant

3) Opinion of advisor on readmission (prescribed form) – to be submitted by applicant

4) Academic transcript – to be submitted by applicant

5) Application for department transfer (prescribed form) – to be submitted by

applicant (Chang a major)

6) Declaration of major(undergraduate) (prescribed form) – to be submitted by

applicant (Declare a major)

7) Recommendation for readmission (form provided) – to be submitted by department

※ Students applying for readmission to a different department shall prepare two copies
each, and submit to both the current and new departments.

 

  1. Other matters concerning readmission

1) Previously earned credits shall be automatically recognized without any separate
procedures.

2) Graduation requirements for readmitted students shall be the same as requirements
applied in the initial year of admission.

3) The prescribed years of study shall be counted from the date of initial admission.

4) Students readmitted after expulsion due to accumulated academic warnings will
be expelled upon receiving an academic warning.

5) Students expelled for failing the qualifying exam must pass the exam within one
year of readmission, and will face expulsion if requirements are not met.

This period may be extended by up to one semester if a leave of absence is taken.

6) Students can be readmitted only once, and will only be accepted to the original
academic year or lower.

7) Tuition for readmitted students shall be governed by Rules on Collection of Student
Payments.

[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.”
 

 

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