Computer Science and Technology Faculty Research

This area develops intelligent algorithms and data-driven frameworks for perception, prediction, and decision-making. Research covers deep learning, computer vision, reinforcement learning, and data analytics, with applications spanning health informatics, robotics, and autonomous systems.

Faculty: Kuan Huang, Ching-Yu (Austin) Huang, Zimeng (Simone) Lyu, Guanghua Wang, Meng Xu, Iyadunni Adenuga, J.Jenny Li, Jiaxin Lei

Research in this area focuses on natural language understanding, large language models, and explainable, ethical AI systems. Faculty investigate ontology-based reasoning, NLP for healthcare and education, and socially responsible AI for human-centered applications.

Faculty: Navya Martin Kollapally, Guanghua Wang, Iyadunni Adenuga, J. Jenny Li, Daehan Kwak, Bin Hu, Patricia Morreale

This area explores the intersection of AI and security in distributed systems, IoT networks, and cloud–edge collaboration. Faculty design privacy-preserving algorithms, blockchain architectures, and resilient models for trustworthy and secure AI ecosystems.

Faculty: Boyang Li, Bin Hu, Daehan Kwak

Research in this area integrates embedded hardware, IoT, and intelligent sensing to create adaptive and sustainable computing systems. Focus areas include mobile sensing, edge AI optimization, energy-aware architectures, and secure real-time analytics.

Faculty: Bin Hu, Boyang Li, Mira Franke, Guanghua Wang

This group designs and evaluates next-generation interaction technologies such as AR/VR, haptic systems, and multimodal learning interfaces. The focus is on accessibility, cognition, and the enhancement of human experience through immersive computing.

Faculty: Lakshmi Devi Subramanian, Yan Ma, Yulia Kumar, Patricia Morreale

This area develops scalable computing infrastructures and AI-driven optimization models for industrial automation and sustainability. Research spans cloud-edge integration, intelligent disassembly, digital twins, and AI for smart manufacturing.

Faculty: Bin Hu, Meng Xu, Jiaxin Lei

Faculty in this area advance inclusive and applied computer science education, exploring best practices for experiential and technology-enhanced learning. Projects aim to broaden participation and strengthen interdisciplinary STEM integration.

Faculty: Patricia Morreale, Ching-Yu (Austin) Huang, Mira Franke, Yulia Kumar, JoAnna Steiner

Research in this area addresses the principles and practices for developing reliable, maintainable, and user-centered software systems. Faculty explore software architecture, design methodologies, software testing and assurance, and AI-assisted development for trustworthy and efficient engineering workflows.

Faculty: Patricia Morreale, Lakshmi Devi Subramanian, J. Jenny Li, Zimeng (Simone) Lyu

This area advances computing cyberinfrastructure through innovations in architecture, design, algorithms, and operations. Research projects aim to support large-scale AI model training, data compression, autonomous systems, and cryptography by investigating cutting-edge cyberinfrastructure and algorithmic solutions.

Faculty: J. Jenny Li, Bin Hu, Daehan Kwak