Interview With Prof. Park at NTUT
Interview With Prof. Park at NTUT
  • Reporter Yang Seo-Yeon
  • 승인 2024.06.12 15:38
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▲Prof. Park You-jin and reporters listening to seminar at NTUT (from left)
▲Prof. Park You-jin and reporters listening to seminar at NTUT (from left)

  On Jan. 18, The Postech Times left to report at the National Taipei University of Technology (NTUT). The NTUT was founded in 1912 and aims to cultivate the best technical experts. Currently, there are 13,629 students, including 1,090 international students. The Postech Times interviewed Professor Park You-jin of the Department of Industrial Management and Engineering (IME) at NTUT.

Could you introduce us to your research areas?

Specifically, it is as follows.

(1) Development of Operational Optimization Plan by Utilizing Large Capacity Facility Data (FDC Data) and Process Facility Parameters Information generated from the Semiconductor Facility

(2) Quantifying the abnormal form in semiconductor images (SEM or TEM images) and classification analysis based on them

(3) Improving classification performance by applying data processing (i.e., oversampling, under-sampling, hybrid sampling, etc.) to large amounts of imbalanced data in various fields

What made you choose the above field as your research field? Also, what is your ultimate academic goal?

  It is clichéd, but like other researchers, I would like to develop a methodology that is more practical in the field through collaboration with several researchers. In addition, I would like to explore the limitations of AI-based technologies currently in progress and conduct research on how to overcome them one by one.

Data science has become an important part of our everyday lives and technology development. What future do you see in the area and how do you plan to keep up with these changes?

  No matter how fast technology develops, I sometimes think that the speed and capacity of the users who use it do not seem to keep up. In other words, I think that the evolution of technologies necessary for life is progressing from the developer’s or company’s point of view, not from the user’s point of view. Therefore, I think that a more general-purpose and easily usable technology that considers users’ needs, users’ capacity, ease of use, and users’ understanding before technology development would be closer to our real life.

What are the most important and difficult parts of the process of dealing with data (collection, classification, etc.)?

  Efficient data collection and innovative analysis methods are important, but it is more important to judge the importance of individual data and filter unnecessary data. In short, I wonder if we need to deal with the “Big data.” Would not “Moderately small, but critical data” be more efficient for analysis?

You have obtained a degree in another country and taught many students as a professor in another country. How was it different from Korea? Furthermore, how your experience abroad has helped you academically and mentally.

  In my opinion, as a researcher, I do not think a place or language is very important if the environment is well-equipped. Of course, the environment is an important factor, but I personally still think there are many things I need to learn, so I am spending more time on the field I am currently studying or future technologies than on other areas (e.g., student-level, school level, living environment, etc.)

  When it comes to living abroad, everything that surrounds us is changing at a tremendous speed unlike before, so it is a good experience to entrust yourself to that change regardless of what area you are in. There are still so many things that you will never know without experiencing them in person, and I think there are many cases where what you know superficially is different.