faculty

Lance Fiondella, PhD

Director

Cybersecurity Center

Professor

Electrical & Computer Engineering

Dependable Software and Systems Lab

Contact

508-999-8596

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Science & Engineering 209B

Contact

508-999-8596

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Science & Engineering 209B

Education

2013

RMIT University

Postdoc in Geospatial Science & Statistics

2012

University of Connecticut

PhD in Computer Science & Engineering

2003

University of Connecticut

MS in Computer Science

1999

Eastern Connecticut State University

BS in Computer Science

Teaching

Programs

Teaching

Courses

EAS 601: Pre-Dissertation Research

Research investigations of a fundamental and/or applied nature defining a topic area and preliminary results for the dissertation proposal undertaken before the student has qualified for EAS 701. With approval of the student's graduate committee, up to 15 credits of EAS 601 may be applied to the 30 credit requirement for dissertation research.

Research

Research activities

Software reliability engineering
System reliability and resilience engineering

Research

Research awards

$ 60,000 awarded by Alion Science and Technology for Resilience Modeling for Analysis, Prediction, and Optimization
$ 499,999 awarded by Commonwealth of Massachusetts for Mass Skills - Intelligent Industrial Robotics and Cyber Security Test Bed
$ 1,218,640 awarded by National Science Foundation for CyberCorps Scholarship for Service: Accelerating Cybersecurity Education, Scholarship and Service
$ 149,903 awarded by U.S. Department of the Army for Resilience Engineering of Machine Learning-enabled Open World Recognition for Network Intrusion Detection Systems
$ 94,864 awarded by U.S. Army Research Office for Part-time Intergovernmental Personnel Act (IPA) Assignment with US Army Corps of Engineers

Research

Research interests

Autonomous systems
Software and system security
Software processes
Transportation network vulnerability
Prognostics and health management

Select publications

P. Silva, B. Gaspard, M. Hotchkiss, G. Kul, N. Bastian, and L. Fiondella (2024).
Regression and Time Series Mixture Approaches to Predict System Performance and Assess Resilience
IEEE Transactions on Reliability
Z. Faddi, K. da Mata, P. Silva, V. Nagaraju, S. Ghosh, G. Kul, and L. Fiondella (2025).
Quantitative Assessment of Machine Learning Reliability and Resilience
Risk Analysis, 45(4), 790-807.
V. Shekar and L. Fiondella (2025).
Efficient Vulnerability Assessment of Large-scale Dynamic Transportation Networks
IEEE Transactions on Reliability, 74(2), 2738-2750.
J. Steakelum, H. Dinh, and L. Fiondella (2025).
Towards a Quantitative Science of Nonviolence: A Systematic Analysis of an Agent-based Model of Nonviolent Resistance
In Proc. Annual Modeling and Simulation Conference (ANNSIM)
F. Salboukh and L. Fiondella (2025).
Optimizing Software Defect Classification with Locally Linear Embedding Method
In Proc. 71st Annual Reliability and Maintainability Symposium (RAMS 2025)

Lance Fiondella joined the Department of Electrical & Computer Engineering at the University of Massachusetts Dartmouth as an assistant professor in 2013. Effective September 1, 2025, he is a professor and the Director of the University of Massachusetts Dartmouth Cybersecurity Center, an NSA/DHS National Center of Academic Excellence in Cyber Research (CAE-R). He conducts research in the areas of system and software reliability, security, and resilience. He has published over 180 peer-reviewed journal articles and conference papers on these topics, and has received over $7.5 million in external funding as principal investigator, including an NSF CAREER Award.