Currently, our research includes the creation of 3D maps using 3D point cloud data and modeling of soft robotic hands with improved grasping power. Both of these studies are useful in the development of automated disaster response robots. When I was considering entering graduate school, my undergraduate supervisor in Sri Lanka, who had earned his PhD from the University of Aizu, recommended that I should join the University of Aizu because it was the best place to study robotics in Japan. After completing my PhD, I would like to return to Sri Lanka and use the valuable knowledge I gained at the University of Aizu to pave the way for robotics in Sri Lanka.

I am working on ways to efficiently find data rules from incomplete data. The data we obtain usually has missing parts or inconsistencies between data, and it is often difficult to use the data as it is for AI training. However, by building more flexible mathematical models in this respect, we can make it possible to deal with such incomplete data. By doing so, we hope that data that is currently unavailable will be utilized. Even if we understand 100% of the University of Aizu's classes, that is only the beginning of our understanding of the field. However, it is the best place to gain "I know that I know nothing". And you will see a very interesting world by taking it a step further.

I had no knowledge or interest in computers when I entered the school, but through classes and laboratory activities, I gradually became interested in computers and wanted to build a system that would contribute to society. He is currently working on his graduation project to develop an automated robot to assist in the management of fields such as rice paddies. In rural areas, the aging population is making it difficult to manage fields. As a result, abandoned farmland is increasing and becoming a home for wild animals. I hope to contribute to society by improving this current situation through my research. In the future, I would like to work for the benefit of others and society by utilizing the computer-related knowledge I learned at the University of Aizu.

I am currently working on visualizing the relationship between references to "COVID-19 vaccine information on social networking services". Some emotion, such as a rebuttal, must be triggering the action. Therefore, by successfully visualizing information references, we can ask, "What belief groups are out there?" and "Which groups are you opposing?" We believe that it may be possible to capture the Ultimately, we hope to capture the whole picture of opinions about the COVID-19 vaccine on social networking sites.

When I entered the University of Aizu, I had little knowledge about computers and became interested in software engineering through university classes. In the development project class, I realized that software engineering know-how can be useful for considering schedules in a team. I am learning about active knowledge engineering in Professor Yoshioka's lab. We are studying the design of software that deciphers information presented to the user and selects whether the information is acceptable to the user or not. It is difficult to think about what can be said to have convinced the user, but I enjoy trying and evaluating what computer science can do. In the future, we want to create an interface that allows users to explore "Why?" and "Why?" information, rather than receiving it unilaterally.

I enrolled in the University of Aizu because I was attracted to its focus on global human resource development. The University of Aizu has exchanges with many countries and regions, and various global initiatives, such as study abroad programs, are being implemented. I am fluent in English, so I decided to enroll in the University of Aizu because of the possibility of further developing my English skills. I am currently working on the development of a thermal camera calibration tool for an asteroid probe. What I am working on now is mainly data collection for additional features. I have also acquired a lot of IT knowledge at the University of Aizu, including programming, algorithms, and software-related topics. In the future, I would like to use this knowledge to create software that can bring smiles to many people's faces. Finally, I am attracted to the University of Aizu not only for its computer-related and IT technologies, but also for its ability to help me become active around the world. If you want to study in a global environment and become a world-class human resource, I highly recommend that you enroll in the University of Aizu.

I have been using computers since I was a child and was fascinated by their versatility and fascination, which led me to the University of Aizu. Then, my experiences in the light music club and my encounters with various forms of artistic expression made me want to continue my research on the human voice in graduate school. I also wanted to minimize the financial burden on my parents as much as possible, so I took advantage of the Honors Program (B2). Currently, I am working on research to make voices recorded in quiet places, such as announcements, easier to hear in noisy environments without increasing sound pressure. As I continue my research on sound, I can enjoy the sensation that the way we hear sound is being updated as our knowledge of human perception and speech processing accumulates. I think this is one of the fascinating experiences unique to this field. I would like to expand my horizons into the field of phonetics and become more deeply involved in the study of the human voice than ever before.

My reason for enrolling in the University of Aizu was my interest in AI (Artificial Intelligence), such as self-driving cars and Google Translate. The University of Aizu is the best environment to study AI because you can take classes specialized in computers. Another factor that led me to enroll in the University of Aizu is that it provides an environment conducive to learning English. In the laboratory to which I am currently belonging, we are conducting research on the translation of sign language captured using an ordinary camera with no special functions, using a neural network (mathematical model that imitates part of the neural circuits of the brain). And in the future, we aim to realize real-time translation of sign language using smartphone cameras, thereby breaking down the communication barrier between people who use sign language and those who do not.

I applied to the University of Aizu not only because it offers one of the best computer science programs in Japan, but also because it places a strong emphasis on English education, which has always been my weak point, and I thought it would be the perfect environment for me. I enjoy running, and looking at the data emanating from my body, such as time, heart rate, foot rotations, and life logs measured by a smartwatch, sparked my interest in the biometric and medical fields. Currently, I am working with Dr. Zhu on a research project that utilizes AI technology and multiple IoT measurement devices to automatically analyze the training effectiveness of cardiopulmonary resuscitation techniques such as rib compression and artificial respiration. The thought that there may be lives that can be saved through this research motivates us to work even harder. My current goal is to develop an application that will allow me to perform correct CPR by the time I graduate.

I entered the University of Aizu because it is an excellent place to study international and practical computer science and engineering in a well-developed environment. Currently, I am a member of Professor Yutaka Watanobe's laboratory, where I am conducting research and development on programming learning support systems. In this laboratory, I can do as much research as I want on topics that interest me. I am participating in joint research with industry and academia, giving presentations at international conferences, writing papers for international journals, and so on. Although it is difficult to keep up with the latest research trends, I feel great joy and a sense of accomplishment when I am able to apply what I have learned so far to my own research. In the future, I would like to build a system in which users can actually use the latest AI models.

The University of Aizu is an attractive university that focuses not only on computer science and engineering but also on international exchange. I am glad to have entered the University of Aizu because of the many opportunities for exposure to English, such as international exchange activities in the Global Lounge and classes in English, and the generous support for studying abroad. I became interested in information security through lectures at the university. I wanted to join Professor Nakamura's laboratory because I felt that vulnerability testing and security measures for SNS were important in today's increasingly information-oriented society. Lectures and assignments at the University of Aizu are challenging, but I, for one, enjoy learning more specialized knowledge as I advance through the grades. My future goal is to go on to graduate school overseas to further my studies.

I had wanted to be involved in game development since I was a child, and I applied to the University of Aizu with the vague idea that I would be able to become a game programmer if I went to an information-related university. After entering the university, my interest in game AI gradually grew stronger, and I chose a laboratory that primarily studies game AI. I am currently developing an AI that plays like a human in fighting games. Fighting games are very deep, and the characteristics of play can be seen on a very detailed level from player to player. Therefore, creating an AI that can be said to play like a human is a very challenging task, but it can be studied enthusiastically because there is no end to what needs to be explored. I am able to research topics that interest me very much, and I am very fulfilled because it is an environment that suits me, with frequent exposure to the English language, which I like. My goal is to go on to graduate school to further my current research.