William Lamberti
- Assistant Professor
Contact Info

- Name
- Dr. William Lamberti
- Job Title
- Assistant Professor
- Office Number
- Research Hall 217
Affiliations
Departments
- Computational & Data Sciences Department (Instructional Faculty)
Education
Ph.D. Computational Sciences and Informatics, Specialization: Data Science, George Mason University (2020)
M.S. Statistical Science, George Mason University (2017)
B.A. Mathematics with a Concentration in Statistics, Minor: Actuarial and Financial Risk Studies, Minor: Political Science, The College of New Jersey (2015)
Current Research
Dr. Lamberti’s research provides solutions with a strong statistical experimental foundation that also deliver significant practical impact. His builds AI solutions for shape analysis in medical images, particularly focusing on interpretable models and processes that align with principles of human-centered AI and information integrity. By using an experimental design framework, he has been recently investigating the adoption of AI in various environments such as classrooms.
Selected Publications
Classification of Synthetic Aperture Radar Images of Icebergs and Ships Using Random Forests Outperforms Convolutional Neural Networks, Lamberti, W. F. 2020 IEEE Radar Conference
Blood Cell Classification using Interpretable Shape Features: A Comparative Study of SVM Models and CNN-Based Approaches, Lamberti, W. F., 2021, Computer Methods and Programs in Biomedicine Update
Extracting physical characteristics of higher-order chromatin structures from 3D image data, Lamberti, W. F., Zang, C., 2022, Computational and Structural Biotechnology Journal
An Overview of Explainable and Interpretable Artificial Intelligence, Lamberti, W. F. In ``AI Assurance: Towards Valid, Explainable, Fair, and Ethical AI'', 2022
State of Kubernetes Cost Optimization, Lamberti, W. F., Rubbo, F., Hua, K., Pan, L., Kendall, M., 2023. Google White Paper
Artificial Intelligence Policy Framework for Institutions, Lamberti, W. F., 2024, arXiv
Pill Shape Classification using Imbalanced Data with Human-Machine Hybrid Explainable Model, Lamberti, W. F. U.S. Patent and Trademark Office (In press)
Contact Info

- Name
- Dr. William Lamberti
- Job Title
- Assistant Professor
- Office Number
- Research Hall 217