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Ph.D. student Soo-Ye Kim, advised by Professor Munchurl Kim in our faculty, has been selected as a Google Student Researcher.
Ph.D. student Soo-Ye Kim is currently working as a Google Research Intern, conducting research internships related to “image inpainting” with Google Research (Mountain View, CA) Perception team for 15 weeks from June 1st. After that, she will continue the collaborative research with Google as a Student Researcher.
The Google Student Researcher Program is a program that supports excellent research interns at Google. Soo-Ye Kim was selected as the first Google Student Researcher in the Asia Pacific (APAC) region in recognition of her outstanding research activities during her internship.
Once again, congratulations to Soo-Ye Kim, who has improved the status of KAIST by being selected as the first Google Student Researcher in the APAC region and also for Professor Munchurl Kim for advising an excellent student. 

Our department’s Ph.D candidates Dong-Min Kim and Seung-Hyun Choi from professor Gunwoo Moon’s laboratory has been each rewarded the best paper award and solar cell paper award at the Conference of Power Electronics 2020.

We once again congratulate the awards which were granted at the conference taken from August 18-20th at Hoengseong Wellihilli Park.

 

Conference name	Conference of Power Electronics 2020
Date	2020.08.18 – 2020.08.20
Location	Hoengseong Wellihilli Park
Awardees	Ph.D candidate Dong-Min Kim(PI : Prof. Gun-woo Moon)	Ph.D candidate Seung-Hyun Choi (PI : Prof. Gun-woo Moon)
Awards	Best Paper Award	Solar Cell Paper Award

Our department’s professor Jaehyouk Choi has been awarded by the IEEE (Chariman Toshio Fukuda)- IEIE(Chairman Professor Hyesook Lim, Ewha Woman’s University) and Hoam Science Culture Foundation (Chief of Board Youngjae Kim) as ‘Young IT Engineer’ of 2020 on August 20^th.

The certification ceremony was held on August 20^th at the  Jeju Lotte Hotel.

The ‘Young IT Engineer’ award is an international award presented by the IEEE and IEIE since 2006, making it the 15^th award this year. Selected by domestic and international experts, it is awarded to scientists and researchers under the age of 40 that have attributed to the IT industry and academy.

Professor Jaehyouk Choi has been awarded for his contribution to high performance semiconductor circuit development designed for 5G communication and ultra-fast communication. Professor Jaehyouk Choi has published 64 papers in international SCI journals and conferences along with 25 domestic and international patents. He also has developed ‘ultra-low noise high frequency signal generation’ technology which is critical for wireless/non-wireless communications and memory systems.

Professor Jaehyouk Choi is currently a technical program committee of ISSCC (International Solid-State Circuits), the most distinguished conference for semiconductor circuits, and ESSCIRC (European Solid-State Circuit Conference) and has also been selected as a ‘Distinguished Lecturer’ by the SSCS (IEEE Solid-State Circuit Society) this year.

Our departments professor Sung-Yool Choi team’s paper has been selected as the front cover of the July 21st’s version of ‘Nanoscale’. The review article is titled ‘Conductive-bridging random-access memories for emerging neuromorphic computing’
The article proposes the detailed mechanism of CBRAMs and the necessary analog switching characteristics of synapse devices. Further, the article presents CBRAM based architecture for DNN and SNN which can also overcome the large area scaling of CBRAMs for neuromorphic computing systems.

Journal : Nanoscale
Title : Conductive-bridging random-access memories for emerging neuromorphic computing
The article can be seen in the following link. 

[Link]
https://doi.org/10.1039/D0NR01671C

Our departments professor Sung-Yool Choi team’s research has been selected as the front cover of the July 13th’s version of ‘Advanced Electronic Materials’. The article is titled “Vertical‐Tunneling Field‐Effect Transistor Based on WSe2‐MoS2 Heterostructure with Ion Gel Dielectric”.
The team used a heterostructure of MoS2-WSe2, well known 2D materials, and an ion-gel gate to fabricate a p-type vertical tunneling transistor with an SS-value of 36mW/dec. The developed p-type transistor can be integrated with other n-type transistors and can hopefully lower the computing power for future smart sensor networks, autonomous vehicles and high-speed mobile computing systems.
The article can be seen in the following link.

[Link]
https://onlinelibrary.wiley.com/doi/10.1002/aelm.202070030

The textbook ‘Theory of Random Variables’ published by our department’s Professor Iickho Song has been selected by the Ministry of Education and National Academy of Sciences (NAS) as ‘2020 Outstanding Academic Textbook’.
The ministry and NAS has selected 66 humanity, 96 social science, 36 Korean academic, and 73 natural science textbooks totaling 271.
3284 non-international first edition textbooks from 318 publishing companies were submitted from March 2019 to February 2020, and 271 were selected as of July 13.
The ministry annually selects textbooks from various academic fields and distributed them to universities for encouraging publishing and research activities.
The NAS will distribute 26 million KW worth of the selected textbooks in the 2nd half of 2020 after attending a survey on the demands for each university.
We once again congratulate for the selection of Professor Iickho Song’s textbook on “Theory of Random Variables’.
 

Our department’s Professor Yong-Hoon Kim’s research team has presented an alternative for the physical standard theory based on next generation semiconductor device design. The team has founded a theory and software for precisely calculating the energy characteristics of nano-devices, presenting an alternative for the standard theory of quantum transportation. 
The standard theory for quantum transportation founded in the late 20th century describes nano-devices as an open quantum system composed of 2 infinite electrodes connected by a channel. There have been numerous efforts to understand the mechanism of transistors, solar cells, LEDs and other semiconductor devices by this theory but was not able to fully describe the energy of the devices, thus apply it for design.
To overcome this obstacle, the research team presumed the non-equilibrium state of the nano-device as a closed quantum system and interpreted the transportation of the electron from one electrode to the other as an optical excitation. The team also developed a theory and software for minimizing the energy of the device. By using this method, one can understand not only the current-voltage characteristics but also the energy characteristics, which is critical for designing energy transforming devices such as batteries, fuel cells, and catalysts where device design is done on the atom scale.
This research supported by the Ministry of Science Technology and Communication, National Research Foundation, Nano Material Development Project, Basic Research Development Project, and Global Frontier Project was published in Science Advances on July 1st.

Professor June-Koo Rhee’s research team developed a non-linear quantum machine-learning artificial intelligence algorithm through collaborative research with German and South African research teams.
Through this study, a non-linear kernel was devised to enable quantum machine learning of complex data. In particular, the quantum supervised learning algorithm developed by Professor June-Koo Rhee’s research team can be calculated with a minimal amount of computation. Therefore, the algorithm presents the possibility of overtaking current AI technologies that require large amounts of computation.
Professor June-Koo Rhee’s research team developed quantum forking technology that generates train and test data through quantum information and enables parallel computation of quantum information. A simple quantum measurement technique has been combined to create a quantum algorithm system that implements non-linear kernel-based supervised learning that efficiently calculates similarities between quantum data. The research team successfully demonstrated quantum supervised learning on real quantum computers through IBM cloud services. Research professor Kyung-Deock Park (KAIST) participated as the first author. The result of this study was published in the 6th volume of May 2020, ‘npj Quantum Information’, a sister journal of the international journal Nature. (Title: Quantum classifier with tailored quantum kernel).

Furthermore, the research team theoretically proved that it is possible to implement various quantum kernels through the systematic design of quantum circuits. In kernel-based machine learning, the optimal kernel may vary depending on the given input data. Therefore, being able to implement various quantum kernels efficiently is a significant achievement in the practical application of quantum kernel-based machine learning.

Research professor Kyung-Deock Park said, “The kernel-based quantum machine learning algorithm developed by the research team will surpass traditional kernel-based supervised learning in the era of hundreds of qubits of Noisy Intermediate-Scale Quantum (NISQ) computing, which is expected to be commercialized in the next few years. The developed algorithm will be actively used as a quantum machine learning algorithm for pattern recognition of complex non-linear data.”

Meanwhile, this research was carried out with the support of the Korea Research Foundation’s Creative Challenge Research Foundation Support Project, the Korea Research Foundation’s Korea-Africa Cooperation Foundation Project, and the Information and Communication Technology Expert Training Project (ITRC) supported by the Institute for Information and Communications Technology Promotion.
You can find information on related articles in the link below.

Congratulations again on Professor June-Koo Rhee’s research team for their outstanding performance in the field of quantum computing.

Professor Dongsu Han Appointed as Program Chair of ACM CoNEXT 2020 Conference

Our department’s Professor Dongsu Han has been appointed as the program chair of the 16th ACM CoNEXT(International Conference on emerging Networking EXperiments and Technologies).

The ACM CoNEXT is a conference held by the computer network group (SIG) ACM SIGCOMM and is known as one of the most distinguished conferences among the Korean Information Science Community. Professor Han has become the first program chair from an Asian Institute.

Professor will become the co-chairperson along with Professor Anja Feldmann from the Max Planck Institue for Informatics and has appointed 40 researchers including our department’s Professor Kim Song Min as committe members.

The conference will accept paper during late June and will be held from December 1-4.

Again we congradulate the appointment of Professor Dongsu Han as program chair.

 

[Link]

https://conferences2.sigcomm.org/co-next/2020/#!/home

 

Our department Professor Sung‐Yool Choi and material science department Professor Il-Doo Kim’s joint research has been posted as the inside back cover paper for ‘Advanced Science’ journal published this April 8th, title as “Low‐Thermal‐Budget Doping of 2D Materials in Ambient Air Exemplified by Synthesis of Boron‐Doped Reduced Graphene Oxide”.

The research shows that photothermal processing can be performed on graphene, a well known 2-dimensional material, on a low thermal budget in air. In the suggested procedure, graphene was doped by boron and achieved a similar concentration that usually obtained via a long procedure in a vacuum system. The procedure can be applied to large areas enabling mass production.

The article can be found in the link below.

[Link]

https://onlinelibrary.wiley.com/doi/abs/10.1002/advs.201903318

https://onlinelibrary.wiley.com/doi/abs/10.1002/advs.202070039