• High-performance system design for training deep neural networks

• Lightweight machine learning algorithms for energy-efficient inference engines

• Automated search of efficient AI models

• Energy-efficient hardware accelerator for scientific computing

• Anti-tampering hardware using in-memory-computing

• Spike-driven neural network design and its hardware implementation

• Power-aware/thermal-aware system design methodology

Broader research interests include efficient AI algorithms, digital IC design, and accelerator/computer architecture. We look forward to working with highly motivated students. Please send me an e-mail if you are interested in pursuing a PhD or an integrated MS-PhD program.

• Our collaborated research between Korea University and POSTECH on RISC-V w/ vector processing unit & eFlash PIM has been accepted to IEEE/ACM ASPDAC'25. Kudos to Gunil Kang and Dahoon Park!

• Our recent work on direct conversion of Transformers to SNNs without any training has been accepted at NeurIPS'24. Kudos to Sangwoo Hwang!

• Our recent work on the design of a flexible multi-mode AES engine based on eDRAM PIM has been accepted to DATE'25. Kudos to Hyunseob Shin!

• Our recent work on training-free full spike-driven Transformers got a silver prize at the Samsung Humantech Paper Awards. Congrats to Sangwoo Hwang, Yejin Lee, Donghun Lee, and Jiyong Park!

• Our collaborated research between Korea University and DGIST on a flexible on-device NeRF rendering engine has been accepted to IEEE/ACM ISCA'25. Big congrats to Seock-Hwan Noh!

E-mail

Principal Investigator – Jaeha Kung (jhkung@korea.ac.kr)

Lab Representative – Seunghyun Lee (coder@korea.ac.kr) 

Lab Coordinator – Junsang Park (jshparksh@dgist.ac.kr) 

Please contact "Lab Coordinator" for inquiries about 'Lab Internship, Information about IDS Lab, etc'.

Location

서울특별시 성북구 안암로 145, 신공학관 512호 (교수님 연구실) / 501호 (학생 연구실)

145 Anam-ro, Seongbuk-gu, Seoul, 02841, Republic of Korea,

New Engineering Hall Room 512 (Professor Lab) / Room 501 (Student Lab)