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Join us for “Covariate Software Vulnerability Discovery Model to Support Cybersecurity Test & Evaluation a keynote presentation by Dr. Lance Fiondella, College of Engineering – Electrical Engineering & Computer Science, MizzouForward faculty candidate.  Dr. Fiondella will present on his research for approximately 40-minutes with a 20-minute question and answer session to follow.

Dr. Fiondella received the PhD in Computer Science and Engineering from the University of Connecticut in 2012. He joined The University of Massachusetts Dartmouth in 2013 after a postdoctoral fellowship in Australia at RMIT University. 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). Since joining UMass Dartmouth in 2013, he has secured over $7.1 million in external funding as PI, including an NSF CAREER Award: Software Reliability and Security Assessment: Modeling and Algorithms as well as support from NASA, the Department of Homeland Security, U.S. Army Research Laboratory (ARL), U.S. Military Academy, U.S. Army Corps of Engineers, Naval Air Systems Command, Naval Sea Systems Command, Office of Naval Research (ONR), and Department of the Air Force. He was a 2014 ARL Visiting Researcher, 2016 ONR Summer Faculty Fellow, and a Faculty Fellow of the Institute for Defense Analyses from 2017 to 2019, a Federally Funded Research and Development Center, which supports the Office of Science and Technology Policy in the White House, Pentagon, and NSA. From 2018 to 2021, he held an ARL Joint Faculty Appointment and most recently held a part-time Research Scientist position with the Engineer Research and Development Center of the U.S. Army Corps of Engineers. Through these roles, he has interacted extensively with colleagues across the Department of Defense. Tools produced through his projects are used to assess the reliability and security of software in Major Defense Acquisition Programs for the Armed Services.


Dr. Fiondella conducts research in reliability, security, and resilience engineering of traditional and machine learning-enabled systems, safe reinforcement learning for autonomous systems, and AI-enabled medical robotics. In addition to his mathematical modeling and algorithmic research interests, his collaboration interests are diverse ranging from STEM education to technologies for campus and community safety.  His system resilience research is cross-cutting, finding applications in a spectrum of scientific and engineering fields such as machine learning, cybersecurity, supply chains, education, psychology, economics, society, and climate. 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. Government and the stewardship of hundreds of billions of taxpayer dollars.

You can access Dr. Fiondella’s CV via OneDrive here:

​pdf icon lnfCV 12.20.2023.pdf (University log in required to access)

After the keynote, please provide candidate feedback with our brief survey.

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