Artificial Intelligence, Machine Learning, and Data Science
At Baylor ECS, AI research drives innovation across a diverse range of applications. Our faculty develops advanced machine learning algorithms, explores computational intelligence, and integrates AI in signal processing for smart systems. Our work spans from large language models, health applications, to smart grid technologies, ensuring AI advancement is both technologically advanced, safe, trustworthy and ethically sound.
Learn more about our faculty and their areas of expertise below.
Paul Allison, Ph.D., Professor & Director, PONI Center (ME)
Finite element analysis, Solid mechanics, Mechanics of materials, Mechanical properties, Stress analysis, Mechanical behavior of materials, Mechanical testing, Failure analysis, Materials, Materials testing
Mary Lauren Benton, Ph.D., Assistant Professor (CS)
Expertise: Computational biology, Gene regulation
Liang Dong, Ph.D., Associate Professor (ECE)
Expertise: Signal processing and communications, Wireless communications and networking, Cyber-physical system and security, Artificial intelligence / machine learning applications
Matthew Fendt, Ph.D., Senior Lecturer (CS)
Expertise: AI, Games research, Data science
Andrew Freeman, Ph.D., Assistant Professor (CS)
Expertise: Scalable deep learning, Computer vision, Neuromorphic systems
Ian Gravagne, Ph.D., Professor (ECE)
Expertise: Composite Material Non-Destructive Testing and Evaluation (NDT/NDE), Robotics, Nonlinear Dynamics and Control
Greg Hamerly, Ph.D., Professor & Interim Chair (CS)
Expertise: Machine learning, Unsupervised learning, Efficient learning, Eye disease symptom detection
Henry Han, Ph.D., Professor & McCollum Family Chair in Data Science (CS)
Expertise: Data science, Fintech, AI, Bioinformatics and Health informatics, Cybersecurity, Quantum computing
David Jack, Ph.D., Professor (ME)
Expertise: Constitutive and mechanics based modeling of contemporary composite processes, Rigid and flexible suspension dynamics, conductivity analysis of carbon nanotube networks for high current applications, Non-destructive evaluation of composites using ultrasonic techniques, Large-scale simulations of oil well casings
Scott Koziol, Ph.D., Associate Chair & Associate Professor (ECE)
Expertise: Robotics, Embedded Systems, Signal Processing, Neuromorphic Engineering
Robert (Bob) Marks, Ph.D., Distinguished Professor (ECE)
Expertise: Information Theory, Computational Intelligence, Radar and sonar waveform analysis and synthesis, AI
Pablo Rivas, Ph.D., Assistant Professor (CS)
Expertise: Responsible AI, Standards for AI ethics, Deep learning, Machine learning, AI , Fuzzy Systems, Cybersecurity
Dr. Xiao Shou, Ph.D., Assistant Professor (CS)
Expertise: Machine learning, Data science, Uncertainty quantification, Optimization, Causal learning
Eunjee Song, Ph.D., Associate Professor & Graduate Program Director (CS)
Expertise: Software programming
Liang Sun, Ph.D., Associate Professor (ME)
Expertise: aerospace engineering, multi-agent autonomy, airborne robotic system dynamics and control, and advanced air mobility
Mike Thompson, Ph.D., Professor (ECE)
Expertise: Digital signal processing and Statistical communications theory
Chen Zhao, Ph.D., Assistant Professor (CS)
Expertise: Fairness-aware machine learning, Uncertainty quantification, Domain generalization, Graph learning, Causal learning and Structural causal mechanisms