Osama Khan

MS/PhD Student
Computer Systems Laboratory
Dept. of AI System Engineering
College of Software
Sungkyunkwan University

E-mail: khan980@g.skku.edu
Lab. : #85533, Corporate Collaboration Center

Publications

International Conferences

  1. Cloud Reamer: Enabling Inference Services in Training Clusters, The 32nd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS), Osama Khan, Gwanjong Park, Junyeol Yu and Euiseong Seo, 2024
  2. DaCapo: An On-Device Learning Scheme for Memory-Constrained Embedded Systems, ACM SIGBED International Conference on Embedded Software (EMSOFT), Osama Khan, Gwanjong Park, and Euiseong Seo, 2023
  3. Energy-Harvesting-Aware Adaptive Inference of Deep Neural Networks in Embedded Systems, ACM/IEEE International Symposium on Low Power Electronics and Design (ISLPED), Gwanjong Park, Osama Khan, and Euiseong Seo, 2023

International Journals

  1. DaCapo: An On-Device Learning Scheme for Memory-Constrained Embedded Systems, ACM Transactions on Embedded Computing Systems, Vol 22, Issue 5s, Article No. 142, Osama Khan, Gwanjong Park, and Euiseong Seo, 2023

International Workshop

  1. Efficient Adaptive Batching of DNN Inference Services for Improved Latency, International Conference on Information Networking (ICOIN), Osama Khan, Junyeol Yu, Yeonjae Kim, and Euiseong Seo, 2024

Patents

International Patents

  • INFERENCE METHOD USING A DNN MODEL IN ENERGY HARVESTING SYSTEM, U.S. Patent (Applied), 18/544,678
  • RECALCULATION METHOD OF BACKPROPAGATION IN A MANNER THAT SELECT THE LAYERS TO STORE THE OUTPUT IN MEMORY, U.S. Patent (Applied), 18/398,458

Domestic Patents

  • 학습 클러스터에서 자원 사용률을 극대화하기 위한 유휴 CPU 자원 기반 심층신경망 추론 방법, 대한민국 (출원), 10-2023-0194699
  • 기계학습 추론에서 요청의 평균 지연시간을 유지하며 GPU의 에너지 효율성 증가를 위한 적응형 배치 크기 결정 기법, 10-2023-0193532
  • 학습 클러스터에서 자원 사용률을 극대화하기 위한 유휴 CPU 자원 기반 심층신경망 추론 방법, 10-2023-0194699

Program Registrations

  • 지연 민감 작업의 성능을 보호하기 위한 리눅스커널의 낮은 우선순위 스케줄링 클래스, C-2024-053786
  • 전원불안정 감내 시스템을 위한 양자화된 심층신경망 모델의 추론 라이브러리, C-2024-055272
  • 에너지 수집 시스템에서 추론 품질을 높이기 위한 기계학습 모델 선택 기법의 시뮬레이팅 프로그램, C-2022-045346
  • 메모리 한정적인 디바이스를 위한 심층신경만 모델 학습 프레임워크, C-2021-058947

Awards and Honors

  • Sungkyunkwan STEM Scholarship for International Graduate Students, 2021~
  • Korean Government Scholarship Program (GKS), 2016~2021

Education

  • M.S./Ph.D. in Superintelligence Engineering, Sungkyunkwan University, 2021-present
  • B.S. in Electrical and Computer Engineering, Pusan National University, 2017-2021

Research Area

  • Cloud computing
  • Machine Learning
  • Operating Systems
  • Embedded Systems

Teaching Experience

  • Operating Systems
  • System Programming Lab
  • Java Programming Lab
  • C Programming