Notices
Notices
Welcome to CASL!
We are a dynamic and collaborative group dedicated to advancing the field of computer systems and machine learning. Our research focuses on designing intelligent, sustainable, and high-performance systems by exploring a wide range of topics, including system optimization for AI workloads, energy and thermal management for mobile and edge devices, carbon footprint-aware computing, and domain-specific hardware design.
Beyond cutting-edge research, we are committed to supporting each member’s growth as an independent and self-motivated researcher. Through hands-on projects, close mentorship, and opportunities for leadership and collaboration, we foster an environment where students can develop the skills, confidence, and vision needed to thrive in both academia and industry.
In addition to our technical pursuits, we place strong emphasis on creating a supportive and engaging lab culture. We believe that meaningful research emerges from open communication, mutual respect, and shared curiosity. Our members actively collaborate, mentor one another, and grow together both academically and personally.
Whether you are an undergraduate exploring research for the first time, a graduate student aiming to dive deep into systems and AI, or a collaborator from academia or industry, we value diverse perspectives and welcome new ideas.
Looking for passionate students to join our research in Systems & AI!
We are recruiting highly motivated Ph.D./M.S., and undergraduate students interested in research areas including computer systems, machine learning, and artificial intelligence. Students who are passionate about research and eager to grow in these fields are highly encouraged to apply.
If you are interested, please contact Professor Young Geun Kim at younggeun_kim@korea.ac.kr with a brief self-introduction and a description of your research interests.
컴퓨터 시스템, 머신러닝, 인공지능 분야에 관심 있는 석사 및 박사과정 학생, 그리고 학부 연구생을 모집합니다. 연구에 열정이 있고 해당 분야에서 깊이 있는 학습과 성장을 희망하는 학생들의 많은 지원을 바랍니다.
참여를 희망하는 학생은 간단한 자기소개와 관심 있는 연구 분야를 포함하여 김영근 교수님께 이메일(younggeun_kim@korea.ac.kr)로 문의해 주시기 바랍니다.