Research

Research in this area focuses on the development of algorithms that allow computers to learn from data and make decisions. Topics include deep learning, reinforcement learning, natural language processing, computer vision, and multi-agent systems.

• Aron Culotta - Social network analysis, natural language processing, data science, machine learning.
• Zhengming (Allan) Ding - Computer vision and machine learning, with a focus on developing scalable algorithms to learn robust representations from large-scale data
• Jihun Hamm - Machine Learning: adversarial machine learning, deep learning, privacy and security, optimization, nonlinear dimensionality reduction.
• Nicholas Mattei - Artificial Intelligence, Data Science, Decision Making, Preferences.
• Alireza Shirvani - Game Development, Computational Narrative, Artificial Intelligence for Games.
• Zizhan Zheng - AI Security and Safety, Reinforcement Learning, Networks.

This research area focuses on designing computational techniques for biological data. It covers topics such as protein structure comparison and high-throughput sequencing.

• Aaron Maus - Protein Structure Comparison and Analysis Techniques, Protein Energy Functions and Minimization Protocols.
• Ramgopal Mettu - Design and analysis of algorithms with guarantees on running time and solution quality, applied to experimental and biological phenomena.

Research in this area explores the design and evaluation of interactive systems that involve human users. It includes topics like scientific visualization, human-AI interaction, and accessible computing.

• Rebecca Faust - Visualization and human-AI interaction with a focus on explainable, human-in-the-loop analysis methods.
• Saad Hassan - Accessible Computing, Human-Computer Interaction (HCI), and Computational Social Science.
• Brian Summa - Large data processing, scientific visualization, computer graphics, scalable algorithms, and energy minimization.

This area focuses on the development and security of software systems, computer architecture, distributed systems, and computer networks.

• Jiang Ming - Software and Systems Security.
• Lu Peng - Computer architecture, big data analytics, distributed systems, deep learning accelerators, and applications.
• Hridesh Rajan - Software Engineering, Programming Languages, Data Science.
• Matthew Toups - Systems programming, network and software security, distributed systems.
• Zizhan Zheng - AI Security and Safety, Reinforcement Learning, Networks.

This research area covers theoretical aspects of algorithms, computational complexity, computational geometry, and combinatorial optimization

• Leon Victor Bankston - Quantum computation/information, combinatorial designs, optimization.
• Ramgopal Mettu - Design and analysis of algorithms with guarantees on running time and solution quality, applied to experimental and biological phenomena.
• Carola Wenk - Algorithms and computational geometry, with a focus on shape matching algorithms and interdisciplinary applications.