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Lance Fiondella, PhD
Associate Professor
Electrical & Computer Engineering
Contact
508-999-8596
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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
Programs
- Computer Engineering BS, BS/MS
- Computer Engineering Cybersecurity
- Computer Engineering MS
- Electrical Engineering BS, BS/MS
- Electrical Engineering MS
- Electrical Engineering PhD
Teaching
Courses
Topics of timely interest in electrical and computer engineering. Course content may change from year to year according to instructor's preferences.
An introduction to artificial intelligence and expert systems. Topics covered include state-space representations and search methods; problem-reduction representation and search methods; Bayes networks; theorem proving using predicate calculus; natural languages; expert system design using Lisp or Prolog; and an introduction to neural networks and pattern recognition.
Research
Research Activities
- Software reliability engineering
- System reliability and resilience engineering
Research
Research Awards
- $54,200.00 Towards a Guide for Software Defect Tracking, Modeling, and Analysis
Research
Research Interests
- Autonomous systems
- Software and system security
- Software processes
- Transportation network vulnerability
- Prognostics and health management
Select publications
- J. Aubertine, K. Chen, V. Nagaraju, and L. Fiondella (2022).
A Metrics-based Software Tool to Guide Reliability and Security Test Activity Allocation
SoftwareX - K. Chen, Z. Faddi, V. Nagaraju, and L. Fiondella (2022).
Quantifying the Impact of Staged Rollout Policies on Software Process and Product Metrics
Annual Reliability and Maintainability Symposium - C. Ellis, M. Wigness, and L. Fiondella (2022).
A Mapping of Assurance Techniques for Learning Enabled Autonomous Systems to the Systems Engineering Lifecycle
IEEE International Conference on Assured Autonomy - Y. Zang and L. Fiondella (2022).
Network Reliability Analysis for Complex Systems based on Complex Network Theory
Annual Reliability and Maintainability Symposium
Society of Reliability Engineers Douglas Ogden Best Paper Award
Lance Fiondella joined the Department of Electrical & Computer Engineering at the University of Massachusetts Dartmouth as an assistant professor in 2013. Presently, he is an associate professor and the Director of the University of Massachusetts Dartmouth Cybersecurity Center, a NSA/DHS National Center of Academic Excellence in Cyber Research (CAE-R). He conducts research in the areas of system and software reliability and resilience engineering and has published over 150 peer-reviewed journal articles and conference papers on these topics.
Dr. Fiondella has also held various visiting and honorary appointments with U.S. Government Laboratories and Federally Funded Research & Development Centers (FFRDC), including the U.S. Army Research Laboratory (ARL), Naval Air Systems Command (NAVAIR), Institute for Defense Analyses (IDA), and United States Army Corps of Engineers. A common theme among his research and government service is a commitment to rigorous scientific methods for test & evaluation in support of the U.S. Warfighter and stewardship of taxpayer dollars.