Graduate Faculty Research Areas

  • Sudir Aggarwal: Computer Networks, Cybersecurity, Distributed and Real-time Systems, Search Engines, Modeling and Simulation
  • Mike Burmester: Security, Cryptography, Privacy/Anonymity, Pervasive/Ubiquitous Systems, Lightweight Cryptographic Applications, RFIDs and Sensor Applications, Trust Management
  • Shayok Chakraborty: Computer Vision and Machine Learning
  • Yushun Dong:Explainability, Algorithmic Fairness, AI Security, AI/ML+X (Applications)
  • Zhenhai Duan: Computer Networks, Multimedia Applications, Routing, Network Security, Wireless Networks
  • Grigory Fedyukovich: Automated software verification and synthesis, Equivalence checking, and Applications of relational verification to analyzing software security.
  • Shangqian Gao: Efficient Machine Learning, Efficient and Safe Cross-Modal Learning, Policy Gradient Methods for Reinforcement Learning, Zeroth-order optimization methods and other topics for optimization, Fairness in deep learning and interpretation guided models
  • Michael Gubanov: Data Science, Large-scale Data Management, Scalable Machine/Deep Learning, Web-search, and Mobile Computing.
  • Sonia Haiduc: Software Engineering, Software Maintenance and Evolution, Program Comprehension, Source Code Search
  • Viet Tung Hoang: Cryptography and Algorithms
  • Piyush Kumar: Algorithms with applications to Computational Geometry, Computer Graphics, Pattern Recognition, and Machine Learning
  • Ang Li: causal inference, artificial intelligence, and causality-based decision-making, with a focus on building causal models
  • Shibo Li: probabilistic machine learning and modeling, approximate inference, surrogate modeling, operator learning, physics-informed machine learning, multi-task learning, meta learning, transfer learning, interactive machine learning and optimization
  • Xiuwen Liu: Computer Vision, Pattern Recognition
  • Xin Liu: 5G/6G, LLMs, multi-modal fusion, and their cybersecurity
  • Xian F. Mallory: Bioinformatics and Cancer Genomics
  • Michael Mascagni: Stochastic Computing, Monte Carlo Methods and their Applications
  • Chris Mills: Software Engineering, Artificial Intelligence, and Large Scale Data Analytics.
  • Daniel Schwartz: Mathematical Logic, Fuzzy Logic, Formal Methods in Artificial Intelligence
  • Gary Tyson: Computer Architecture, Compiler Optimizations, Mobile Computing, Bioinformatics
  • An-I Andy Wang: File Systems, Operating Systems
  • Guang Wang: Spatiotemporal Data Mining, Trustworthy Machine Learning (Fairness, Privacy, Safety), Human-Centered Computing, and Cyber-Physical Systems, especially for applications on Mobility, Energy, Disaster Resilience, and Healthcare
  • David Whalley: Compilers, Computer Architecture, Embedded Systems, Performance Evaluation
  • Te-Yen Wu: Human Computer Interaction, Cyber-Physical Systems, and AI Technologies
  • Weikuan Yu: Structured and Unstructured Database Systems, Data Mining, Big Data Analytics, Social Network, Parallel Computer Systems and Architecture, High Speed Interconnects, Cloud Computing, Computational Biology and Climate Modeling, Storage Systems, Networking, Scientific Computing
  • Xin Yuan: Computer Networks, Software Defined Networks, Interconnection Networks, Parallel Computer Architecture and Systems, High Performance Computing
  • Xiaonan Zhang: wireless communication and network, Internet of Things (IoT), and wireless security
  • Zhenghao Zhang: Computer Networks, Network Security Systems, Scheduling, Performance Analysis, Wireless Access Networks, Cross-layer Design, Optical Networks, Wireless Sensor Networks
  • Kai Zhao: High Performance Computing (HPC), Scientific Data Management, Analytics, and Visualization, Fault Tolerance and Resilience in Machine Learning and HPC, Large Scale Deep Neural Networks, Parallel, Distributed and Heterogeneous Systems
  • Peixiang Zhao: Database Systems, Data Mining, Data-intensive Computation and Analytics