Information & Technology Research

Associated Faculty

• Mark Boady: Computer algebra, computations theory, concurrent programming, quantum computers

• Joseph Alejandro Gallego Mejia: Computer Vision, Remote Sensing, Machine Learning, Quantum Machine Learning, Natural Language Processing. Teaching courses: Programming, Algorithms and Data Structures, Data Science, Machine Learning, GNU/Linux Tools, Natural Language Processing, Non-sqlDatabases, Scrum, Advance Python, Deep Learning, Machine Learning Operations, Large Language Models

• Vasilis Gkatzelis: Algorithmic mechanism design, multiagent resource allocation, approximation algorithms

• Colin Gordon: Programming languages and formal methods, type and effect systems, program verification for operating system kernels, and computational linguistics

• Shahin Jabbari: Machine learning, algorithmic fairness, game theory

• Jeremy Johnson: Computer algebra, design and analysis of algorithms, programming languages and compilers, automated performance tuning, algorithms for DSP, parallel processing, and high-performance computing

• Feng Liu: AI + X: Education; Healthcare. 3D Computer Vision: 3D object/scene understanding; 3D generation; VR/AR; 3D vision+language understanding. 3D Human Digitization: Modeling, reconstruction and rendering; Biomechanics. Generative AI: Explainability, generalization and controllability in generative models; DeepFake detection. Biometric Recognition: Face and gait recognition; Person re-identification

• Yusuf Osmanlioglu: Graph theory, combinatorial optimization, approximation algorithms, computational neuroscience, connectomics

• Emmanouil Pountourakis: Algorithmic mechanism design

• Ali Shokoufandeh: Theory of algorithms, graph theory, combinatorial optimization, computer vision