教員紹介

Mate KOVACS

Mate KOVACS
所属学部
情報理工学部
職位
初任助教
専門
Deep Learning, Natural Language Processing, Computational Business Intelligence, Big Data
担当コース
主な担当科目
Artificial Intelligence
研究分野・テーマ
Data Science, Deep Learning, Natural Language Processing, Artificial Intelligence, Big Data
過去の部活動
Swimming, Mountain Climbing, Rock band (Bass)
得意な科目
Biology, Chemistry
おすすめの書籍

The Name of the WindPatrick Rothfuss

What are the appealing and interesting points of Information Science and Engineering?

Information Science and Engineering is an exciting and growing discipline that involves theories, methods, and technologies from various domains such as Computer Science, Information Theory, Mathematics, Linguistics, etc. I found it fascinating how much impact Information Systems and new technologies have on our everyday lives.

How will the knowledge gained in the College of Information Science and Engineering be useful for students after graduation?

Students who successfully graduate from the Collage of Information Science and Engineering will have the necessary knowledge to solve real-world problems, and will have the ability to function as team players within a multi-cultural environment.

Please describe your major research, activities, and current research themes.

Online reviews on e-commerce websites (such as Rakuten, Amazon) can provide valuable information for companies who seek to improve their products and services based on the needs of the customers. However, the huge amount of reviews available on web platforms can be overwhelming for both the customers and the companies. Therefore, companies need systems and computational tools to analyze the reviews and obtain valuable information from them. My current research focuses on developing theoretical and computational models to help assess the quality and helpfulness of online customer reviews.

Please describe technologies that you find interesting now.

I am particularly interested in transformers-based language models such as GPT-2, and few-shot learning applications in Computer Vision.

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