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Professor Joung-Ho Kim from our faculty will appear in EBS Class e to give lectures starting this afternoon. We ask for your interest and support. The subject of the lecture is ‘Artificial Intelligence, Semiconductor, and Digital Innovation’.

It will be broadcasted 13 times starting from today to the 30th, excluding weekends.

This lecture is intended to introduce key technologies and issues of the 4th industrial revolution at the general public level. In particular, the lecture explains digital transformation technologies expressed in artificial intelligence, big data, cloud computing, intelligent semiconductors, 5G, etc., in an easy and fun way and introduces its impact to society, economy, and industry. Specifically, it discusses the new industries, jobs, and ethics issues that digital transformation technologies bring. Finally, it presents the conditions and education of talented people who will lead them.

 

Our department’s professor Changick Kim’s lab has been rewarded the best paper award for the IEIE 2020 fall conference. Master candidate In Yong Koo was awarded the prize as the main author. The conference was held last November 27 – 28^th at the Kimdaejung Convention Center, which was also held online too due to the COVID-19. Details are as below.

Conference name : IEIE 2020 Fall Conference

Date : 2020.11.27 – 2020.11.28

Award : Best paper award

Authors : In Yong Koo (Master candidate), Minki Jeong (Ph.D candidate), Changick Kim (PI)

Paper : Enhancement of Image Detection on Open Set of Rare Example Problems

Ph.D. student Young-Joon Yu (Advised by Yong-Man Ro) won the Best Paper Award at the 2020 Military Operations Research Society of Korea Conference. The academic conference was held online on September 24th.

Ph.D. student Young-Joon Yu presented a paper titled “A study on Military Surveillance and Reconnaissance Systems based on Multimodal Deep Learning Robust against Adversarial Attacks“ and won the Best Paper Award.

 

Conference: 2020 Military Operations Research Society of Korea Conference

Date: 2020. 09. 24

Award: Best Paper Award

Authors: YoungJoon Yu (Ph.D. student), Hong-Joo Lee (Ph.D. student), Byeong-Hee Yang (Professor), Yong-Man Ro (Advisory Professor)

Paper Title: A study on Military Surveillance and Reconnaissance Systems based on Multimodal Deep Learning Robust against Adversarial Attacks

Our department’s professor Hyunchul Shim’s lab has won the MSIT AI Grand Challenge Competition Control Intelligence Part for the 2^nd year in a row.

This year’s competition was based on how AI can solve various problems that will emerge from the AI based future. The challenge was to set an idea about how to use AI for responding to people’s life in various areas and social issues.

Composed of 4 major areas, professor Shim’s team applied to track 4, where a total of 5 teams applied. Professor Shim’s team used the idea of how to safely use drones to deliver supplies and goods to people.

Winning for the 2^nd year in a row, Professor Shim’s team used only 100% self developed technologies (accurate positioning, high speed flight control) for the competition. Winning the competition again this year, the group will be funded a total of 2.4 billion KW which is similar to the DARPA challenge award prize. Along with the development of AI, professor Shim said that his team will further develop inside drone flight, unmanned civilian aircraft, autonomous vehicles, delivery robots and other vehicle related AI technologies.

Once again we congratulate professor Shim’s team for the reward.

Our department’s professor Junil Choi’s lab has achieved the best and excellent paper award at the 12^th ICT paper competition. The 12^th ICT paper competition supported by Etnews, Webcash Group, and KSFC has awarded the best paper award to Ph.D candidates Hwanjin Kim (1^st author), Sucheol Kim, Hyeongtaek Lee and the excellent paper award Ph.D candidate In-soo Kim.

A total of 5,000,000 and 2,000,000 KW are rewarded to the best and excellent paper.

The ICT paper competition marking its 12^th anniversary this year evaluates and rewards various papers based on semiconductor, communications, AI, IoT and other ICT related fields. The competition is open for South Korean students attending domestic universities and graduates schools.

Additionally, the great award was achieved by Sanghoon Park from the Graduate school of Culture Technology.

Once again we congratulate professor Junil Choi and the students for the achievements.

 

The research team of Professor Jae-Woong Jeong has developed a technology that can produce optogenetic neural probes using 3D printing through joint research with a research team at Washington University School of Medicine in St. Louis.

This research, in which Ph.D. student Ju-Hyun Lee participated as the first author, was published in the international journal ‘Advanced Functional Materials’ on November 11th edition as a back cover. (Title: Rapidly Customizable, Scalable 3D-Printed Wireless Optogenetic Probes for Versatile Applications in Neuroscience)

In brain science and neuroscience research, optogenetics technology that precisely controls neural circuits through light is getting more attention recently. Neural probes are needed to transmit light to the deep brain. For brain research, different optimized designs are required depending on the target animal and the location of the target neural circuit. However, in general, semiconductor processes used to manufacture neural probes have limitations in that design modification is not easy, and a lot of cost and time is consumed each time a probe with a new design is developed.

The research team has overcome this limitation by using a 3D printer. Through SLA-based 3D printing, the team implemented a neural probe with the thickness of a hair. As a result, the optoelectronic probe with micro LEDs can be manufactured at the cost of less than $1 per piece, which is more than 50 times cheaper than commercial neural probes. This paved the way for providing highly affordable neural probes to the neuroscience community.

In addition, the research team proved the long-term biocompatibility and durability of the 3D-printed probe through animal experiments and verified its functionality by controlling the brain neural circuits of mice that move freely through optogenetic stimulation.

This technology enables rapid design and design modification of probes through CAD software, allowing rapid production of devices of various lengths and shapes. Not only 1D structure with one stimulation point, but also complex neural probes with 2D and 3D structures can be implemented, so it can be used for the study of complex neural circuits. The developed 3D printing process makes it easy to develop probes optimized for specific research purposes and can significantly shorten production time and cost, and is expected to contribute to the acceleration of neuroscience research.

Please check the contents of the paper from the link below.

[Link] https://onlinelibrary.wiley.com/doi/full/10.1002/adfm.202004285

Master candidate Hye Sang Cho from professors Junil Choi’s lab has been awarded Paper Award at the 2020 KICS(Korean Institute of Communications and Information Sciences) Summer Paper conference. The conference was held from August 12^th to 14^th, and the awarding ceremony was held November 13^th during the fall conference. Due to COVID-19, the fall conference was held on-line. Master candidate Hye Sang Cho was awarded for the paper “Alternating Beamforming with Intelligent Reflecting Surface Element Allocation”.

Conference : 2020 KICS Summer Conference

Date : August 12 – August 14

Award : Best Paper Award

Author : Hye Sang Cho (MS course), Junil Choi (PI)

Paper : Alternating Beamforming with Intelligent Reflecting Surface Element Allocation

Professor Min-Soo Rhu’s research team has developed an AI accelerator 21 times faster than GPU-accelerated computing. The news has been reported to the leading media in Korea.

The research team developed the world’s first intelligent semiconductor system optimized for accelerating learning algorithms for artificial intelligence (AI) recommendation systems, which has applied the ‘Processing in Memory (PIM)’ technology. Intelligent memory semiconductor technology is one of the key technologies to dominate the global artificial intelligence market. This achievement of the research team is significant in that it implies the commercial viability and success potential of PIM technology.

Ph.D. student Young-Eun Kwon participated as the first author of the paper, and M.S. student Yun-Jae Lee participated as the second author. This paper will be published around February next year at the IEEE International Symposium on High-Performance Computer Architecture (HPCA), one of the best international journals in the computer system architecture field. The title of the paper is ‘Tensor Casting: Co-Designing Algorithm-Architecture for Personalized Recommendation Training’. This research was supported by the Samsung Science & Technology Foundation.

Our department’s Ph.D candidate Hyungtae Lim with Master candidate Sungwon Hwang and SunJae Shin from professor Hyun Myung’s lab has received the Best Student Paper Award from the 2020 ICCAS (International Conference on Contol, Automation and Systems). Due to COVID-19, the conference was held online from last October 13 to 16^th.

The ICCAS conference is an international conference held annually by the ICROS (Institute of Control, Robotics and Systems) and has marked it’s 20^th anniversary this year. The students presented the paper titled “Normal Distributions Transform is Enough : Real-time 3D Scan Matching for Pose correction of Mobile Robot Under Large Odometry Uncertainties” and was selected among other 310 papers.

 

Conference : ICCAS (International Conference on Control, Automation and Systems) 2020, BEXCO, Busan, Korea.      

Event Time: October 13-16 (Virtual Event)      

Reward: Student Best Paper Award       

Authors: Hyungtae Lim (Ph.D candidate), Sungwon Hwang (Master candidate), SunJae Shin(Master candidate), Hyun Myung (PI)

Paper Title: Normal Distributions Transform is Enough: Real-time 3D Scan Matching for Pose correction of Mobile Robot Under Large Odometry Uncertainties

Our department’s Ph.D candidate Taeju Lee from professor Minkyu Je’s lab has been awarded the Best Paper Award of the 2020 IEEE ISCAS (International Symposium on Circuits and Systems) Biomedical and Life Science Circuits and Systems Track which was held last October 10 to 21^st.

The IEEE ISCAS conference is the flagship conference held by the IEEE Circuits and Systems Society, and Ph.D candidate Taeju Lee was awarded for the paper “Double-High-Pass-Filter-Based Electrical-Recording Front-Ends and Fluoresence-Recording Front-Ends for Monitoring Multimodal Neural Activity”.

We once again congratulate Taeju Lee for the achievement.

 

Conference : IEEE 2020 International Symposium on Circuits and Systems (ISCAS), Spain, Sevilla

Event Time : October 10-21 (Virtual Event)

Award : Best Paper Award

Track : Biomedical and Life Science Circuits and Systems Track (BioCAS)

Author : Taeju Lee (Ph.D candidate), Minkyu Je (PI)

Paper Title : Double-High-Pass-Filter-Based Electrical-Recording Front-Ends and Fluoresence-Recording Front-Ends for Monitoring Multimodal Neural Activity