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Computer Science

Faculty Research Highlights for Prospective PhD Students

The research areas of Computer Science faculty include but are not limited to: High-Performance Computing and Computational Science, Systems, AI and ML, Theory and Programming Language, and Cybersecurity. Please see below for the faculty members and their high-profile achievements in each research area.

Research Areas:

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AI and ML

face of Daniel Lowd
Daniel Lowd

 

Thien Nguyen
Thien Nguyen

Thien NguyenDr. Nguyen's research areas: Information Extraction, Large Language Models, Natural Language Processing, Deep Learning, and Machine Learning. Selected recent projects:

  • NSF CAREER: Multilingual Learning for Event Structures from Text
  • ChatGPT Beyond English: Towards a Comprehensive Evaluation of Large Language Models in Multilingual Learning.
  • Taipan: Efficient and Expressive State Space Language Models with Selective Attention.
face of Thanh Nguyen
Thanh Nguyen

 

Assistant Professor of Computer Science Yu Wang
Yu Wang

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Cybersecurity

face of Li Jun
Jun Li

 

Face of Yingjiu Li
Yingjiu Li

Dr. Yingjiu (Joe) Li’s research interest: IoT Security and Privacy, Mobile and System Security, Applied Cryptography and Cloud Security, and Data Application Security and Privacy. Homepage: https://ix.cs.uoregon.edu/~yingjiul/. Selected recent publications:

  • PriSrv: Privacy-Enhanced and Highly Usable Service Discovery in Wireless Communications. NDSS 2024.
  • SecPLF: Secure Protocols for Loanable Funds against Oracle Manipulation Attacks. AsiaCCS 2024.
  • Differential Training: A Generic Framework to Reduce Label Noises for Android Malware Detection. NDSS 2021.

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High-Performance Computing and Computational Science

Face of Allen Malony
Allen Malony

 

Brittany Erickson
Brittany Erickson

Dr. Erickson is a computational scientist and applied mathematician who develops high-performance numerical methods (both traditional and machine-learning-based) for both forward and inverse modeling of earthquake and volcano processes that integrate real-world data collected at the Earth's surface. In addition she co-leads a group of scientists from around the world in code verification efforts which ensure trust in model outcomes. Some notable achievements/publications include:

Face of Jee Choi
Jee Choi

 

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Systems

Reza Rejaie headshot
Reza Rejaie

 

Face of Anthony Hornof
Anthony Hornof

 

Face of Anshuman Razdan
Anshuman Razdan

 

Ram-Durairajan
Ram Durairajan

 

  • 2017 – present: Funding awards totaling over $3.1M at the University of Oregon.
  • 2022: NSF CAREER Award ($530k).
  • Ripple Faculty Fellowship ($50k).
Assistant Professor of Computer Science Suyash Gupta
Suyash Gupta

 

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Theory and Programming Language

face of Zena Ariola
Zena Ariola

 

Face of Christopher Wilson
Christopher Wilson

 

Face of Tao Hou
Tao Hou

Dr. Tao Hou’s research interest: Topological Data Analysis, Topological Machine Learning, Computational Topology. Homepage: https://taohou01.github.io/

  • A major achievement of Dr. Hou’s theoretical research is on improving the time bound for computing the topological descriptor Zigzag Persistence on several problems including: (1) computing the barcode from a zigzag filtration; (2) computing zigzag barcodes for graph filtrations; (3) updating zigzag persistence over local changes; (4) updating zigzag persistence for graph filtrations; (5) computing representatives for zigzag.
  • Another highlight of Dr. Hou’s work is the study of the optimal persistent cycle representatives for persistent homology (a major tool in TDA). His work has shown that computing the optimal persistent cycles are NP-hard for general simplicial complexes over arbitrary dimensions, and has also proposed polynomial-time algorithms for computing the optimal persistent cycles for the special case of manifolds (an important type of topological spaces).
  • Lately, Dr. Hou has been actively seeking applications of the topological descriptors in his field to different domains such as machine learning, visualization, and geometry processing, etc.

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