Aliza Lisan

About Me

I am a 4th year PhD student in Computer Science, advised by Dr. Hank Childs, at the University of Oregon. Prior to joining the University of Oregon, I received my Bachelors in Computer Science from National University of Computer and Emerging Sciences (FAST-NU) in 2018.

Research Interests

My research interests span high-performance computing (HPC), performance analysis, visualization, and systems for AI/ML. I focus on end-to-end performance analysis, optimization, and visualization of HPC applications and scientific and AI/ML workflows. I have collaborated with U.S. national laboratories—including Fermilab and Lawrence Livermore—on projects aimed at detecting and addressing performance bottlenecks in large-scale computing and scientific workflows.

News

• [June 2025] Will be joining Meta as a Ph.D. Software Engineer Intern.
• [April 2025] Enabling Lightweight Performance Analysis of Complex Scientific Workflows with PerfFlowAspect accepted at SSDBM 2025.
• [Nov 2024] Presented PerfFlowAspect: A User-Friendly Performance Tool for Scientific Workflows at SC 2024 research poster session.
• [June 2024] Will be joining Lawrence Livermore National Lab as a Computing Graduate Student Intern.
• [June 2023] Will be joining Lawrence Livermore National Lab as a Computing Graduate Student Intern.
• [June 2022] Will be joining Lawrence Livermore National Lab as a Computing Graduate Student Intern.

Publications

1. Enabling Lightweight Performance Analysis of Complex Scientific Workflows with PerfFlowAspect
   A. Lisan, T. Patki, S. Brink, K. Parasyris, B. Gunnarson, G. Georgakoudis, H. Childs
   37th International Conference on Scalable Scientific Data Management (SSDBM), 2025 [Paper]
   
2. Application in multimedia: from camera to VR
   A. Wali, A. Lisan, H. Ather, M. Qasim, M.U. Abid
   Multimedia Tools Application, 2023 [Paper]
   

Teaching

• CS 322: Intro to Software Engineering (TA, Spring 2025)
• CS 372M: Machine Learning for Data Science (TA, Winter 2025)
• CS 322: Intro to Software Engineering (TA, Fall 2024)
• CS 372M: Machine Learning for Data Science (TA, Spring 2024)
• CS 211: Computer Science II (TA, Winter 2024)

Awards

• Awarded College of Arts and Sciences (CAS) Scholarship in 2024
• Awarded General University Scholarship in 2023 on the basis of scholastic achievement
• Awarded General University Scholarship in 2022 on the basis of scholastic achievement
• Dean’s Honor List — Fall & Spring 2017, FAST National University