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Five KU students selected for First President’s Graduate Scholarship in Science

Posted on by Editorial Team

Five KU graduate students were selected for the First President’s Graduate Scholarship in Science.

The Ministry of Science and ICT selected its first scholarship recipients this year with the goal of discovering master’s and doctoral students with great potential in science and engineering to motivate them and support the development of world-class human resources in research. A total of 120 scholarship recipients (50 master’s and 70 doctoral students) were selected this year, representing a competition rate of approximately 25 to 1.

Five KU graduate students were also selected: Lee Seung-yeon, master’s student in the Department of Artificial Intelligence; Park Seo-yeon, master’s student in the Department of Computer Science and Engineering; Seong Jae-hyeop, doctoral student in the School of Electrical Engineering; Park Ju-ha, master’s student in the School of Electrical Engineering; and Lee Seung-min, student in integrated master-doctoral degree programs in the School of Biomedical Engineering.

▲ Lee Seung-yeon, a master’s student in the Department of Artificial Intelligence, is studying in Professor Han Jae-ho’s lab on Neuro AI through the development of brain principle-based multimodal processing AI.

▲ Park Seo-yeon, a master’s student in the Department of Computer Science and Engineering, is studying in Professor Kang Jae-woo’s lab on drug development using AI.

▲ Park Ju-ha and Seong Jae-hyeop, a master’s student and a doctoral student in the School of Electrical Engineering, respectively, are studying in Professor Shin Won-jae’s lab on the theories of next-generation wireless communication.

▲ Lee Seung-min, a graduate student in the School of Biomedical Engineering, is studying in Professor Yoon Dae-sung’s lab on a high-sensitivity point-of-care rapid antigen test method using an AI-based deep learning algorithm.

The graduate scholarship recipients will receive a total of 18 million KRW per year (maximum 36 million KRW for four semesters) for a master’s course and a total of 24 million KRW per year (maximum 96 million KRW for eight semesters) for a doctoral course with a scholarship certificate from the President of Korea.

Korea University professor receives Aaron T. Beck Distinguished Research Award

Posted on by Editorial Team

On March 2 (Sat), Professor Choi Kee-hong from the School of Psychology, Korea University, received the Aaron T. Beck Distinguished Research Award at the 8th Asian CBT Congress held at the All India Institutes of Medical Science (AIIMS) in India.

The Beck Institute, established by Dr. Aaron Beck who is regarded as the father of cognitive therapy, and the World Confederation of Cognitive and Behavioral Therapies (WCCBT) decided to recognize researchers in Asia at the congress who have been most active in conducting research on cognitive behavioral therapy by presenting them with the Aaron T. Beck Distinguished Research award from Asia.

Professor Choi, who also leads the KU Mind Health Institute, oversaw the 10th WCCBT in June 2023 as a co-chairperson of the organizing committee together with Professor Chung Kyong-mee at Yonsei University. The conference, co-hosted by the Korean Clinical Psychology Association and the Korean Association of Cognitive Behavioral Therapy, was successful to promote the status of cognitive behavioral therapy in Korea to the world. With Professor Choi receiving the award this time, it was reaffirmed that Korea has heightened its status in the field of cognitive behavioral therapy in Asia.

“Cognitive behavioral therapy is scientifically proven to be most effective in treating people who have a mental illness, and to properly provide the therapy to patients, it is important that therapists are equipped with required skills and expertise,” said Professor Choi during his acceptance speech. He added, “Many Asian countries including Korea have already acknowledged the dissemination of cognitive behavioral therapy as one of the national mental health policy tasks, but the system should be overhauled and revamped so that only therapists who complete disciplined training and education are allowed to provide cognitive behavioral therapy to patients. I will take this award as a carrot for me to encourage myself, as a researcher and clinician, to strive to disseminate cognitive behavioral therapy in Korea.”

Cognitive behavioral therapy is a form of psychological treatment that has been regarded as most effective in dealing with a wide range of psychiatric disorders such as depression and anxiety. Cognitive behavioral therapy, recognized as a scientifically proven treatment, is provided as a primary therapy for mental illnesses in those countries with advanced mental health service systems such as the USA, the UK, Canada, and Australia.

How explainable Artificial Intelligence can propel growth of Industry 4.0

Posted on by Incheon National University

Explainable artificial intelligence can help bridge the gap between human understanding and the way artificial intelligence models function

With the advent of industry 4.0, advancements in artificial intelligence (AI) have become vital to helping with industry efficiency and performance. Recently, a group of researchers surveyed the existing AI and explainable AI (XAI) based methods used in Industry 4.0 highlighting the need for XAI-based methods to help build efficient smart cities, factories, healthcare, and human-computer interactions.

The very first industrial revolution historically kicked off with the introduction of steam- and water-powered technology. We have come a long way since then, with the current fourth industrial revolution, or Industry 4.0, being focused on utilizing new technology to boost industrial efficiency. Some of these technologies include the internet of things (IoT), cloud computing, cyber-physical systems, and artificial intelligence (AI). AI is the key driver of Industry 4.0, automating intelligent machines to self-monitor, interpret, diagnose, and analyze all by themselves. AI methods, such as machine learning (ML), deep learning (DL), natural language processing (NLP), and computer vision (CV), help industries forecast their maintenance needs and cut down on downtime.

However, to ensure the smooth, stable deployment and integration of AI-based systems, the actions and results of these systems must be made comprehensible, or, in other words, “explainable” to experts. In this regard, explainable AI (XAI) focuses on developing algorithms that produce human-understandable results made by AI-based systems. Thus, XAI deployment is useful in Industry 4.0.

Recently, a group of researchers, including Assistant Professor Gwanggil Jeon from Incheon National University, South Korea, surveyed existing AI and XAI technologies and their applications in Industry 4.0. Their review, published in IEEE Transactions on Industrial Informatics, was made available online on January 27, 2022, and subsequently published in Volume 18, Issue 8 of the journal on August 8, 2022.

“Though AI technologies like DL can solve many social problems due to their excellent performance and resolution, it is difficult to explain how and why such good performance is obtained. Therefore, there is a necessity to develop XAI, so that DL, like the current black box, can be modeled more efficiently. It will also be easier to make applications,” said Prof. Jeon explaining his motivation behind the study.

XAI-based methods are classified according to specific AI tasks, like the feature explanations, decision-making, or visualization of the model. The authors note that the combination of cutting-edge AI and XAI-based methods with Industry 4.0 technologies results in various successful, accurate, and high-quality applications. One such application is an XAI model made using visualization and ML which explains a customer’s decision to purchase or not purchase non-life insurance. With the help of XAI, humans can recognize, comprehend, interpret, and communicate how an AI model draws conclusions and takes action.

There are clearly many notable advantages of using AI in Industry 4.0; however, it also has many obstacles. Most significant is the power-hungry nature of AI-based systems, the exponentially increasing requirement for a large number of cores and GPUs, as well as the need for fine-tuning and hyperparameter optimization. At the heart of this is data collected and generated from millions of sources, devices, and users, thereby introducing bias that affects AI performance. This can be managed using XAI methods to explain the bias introduced.

“AI is the principal component of industrial transformation that empowers smart machines to execute tasks autonomously, while XAI develops a set of mechanisms that can produce human-understandable explanations,” concludes Prof. Jeon.

Adapting XAI-based methods can get us one step closer to efficiently realizing smart cities, factories, healthcare, and cyber-security!

Reference

Authors:

Imran Ahmed1, Gwanggil Jeon2,*, and Francesco Piccialli3

Title of original paper:

From Artificial Intelligence to Explainable Artificial Intelligence in Industry 4.0: A Survey on What, How, and Where

Journal:

IEEE Transactions on Industrial Informatics

DOI:

10.1109/TII.2022.3146552

Affiliations:

1Institute of Management Sciences, Pakistan

2Incheon National University, South Korea

3University of Naples Federico II, Italy

About Incheon National University

Incheon National University (INU) is a comprehensive, student-focused university. It was founded in 1979 and given university status in 1988. One of the largest universities in South Korea, it houses nearly 14,000 students and 500 faculty members. In 2010, INU merged with Incheon City College to expand capacity and open more curricula. With its commitment to academic excellence and an unrelenting devotion to innovative research, INU offers its students real-world internship experiences. INU not only focuses on studying and learning but also strives to provide a supportive environment for students to follow their passion, grow, and, as their slogan says, be INspired.

Website: http://www.inu.ac.kr/mbshome/mbs/inuengl/index.html

About Assistant Professor Gwanggil Jeon, Incheon National University

Dr. Jeon received a Ph.D. from the Department of Electronics and Computer Engineering, Hanyang University, Seoul, Korea, in 2008. Currently, he is an Assistant Professor with the Department of Embedded Systems Engineering, Incheon National University in Korea. His research interests lie in the fields of image processing and computational intelligence, particularly in image compression, motion estimation, image enhancements, and fuzzy and rough sets theories. He is an IEEE Senior Member and has received numerous awards, including the IEEE Chester Sall Award in 2007, the ETRI Journal Paper Award in 2008, and the Industry-Academic Merit Award by the Ministry of SMEs and Startups of Korea in 2020.

KNU establishes semiconductor graduate school system to train over 400 experts annually

Posted on by Kyungpook National University ‏‏‎ ‎

Kyungpook National University will establish a ‘semiconductor graduate school system’ that will produce more than 400 semiconductor experts per year. The announcement reflects the active steps KNU is taking to overcome the chronic shortage of semiconductor-related manpower that has recently become serious.

KNU plans to train a total of 100 professionals per year, 50 semiconductor experts through an undergraduate master’s linkage course, and 50 advanced semiconductor experts through a master’s-doctoral linkage course. In addition, through the ‘Interdisciplinary Convergence Graduate Program,’ which integrates related fields in the semiconductor industry ecosystem, such as materials, process, design, and system semiconductors, 300 skilled professionals will be trained annually.

Kyungpook National University has been developing the field of IT as a national specialized field since the 1970s, while also steadily building research infrastructure for training talented professionals. Moreover, KNU is currently moving forward with a next-generation semiconductor ecosystem creation project with Daegu Metropolitan City, and it is also planning the establishment of an academic department that is customized/employment-guaranteed through collaboration with various industries.

Won-Hwa Hong, President of Kyungpook National University, noted, “The talented semiconductor experts that are produced will create a virtuous cycle ecosystem of core technology, R&D, and professionally competent industrial manpower, which will be a powerful driving force for regional development and for gaining a competitive edge in the international semiconductor rivalry, which is often described as a ‘world war.’”