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Lance Fiondella

faculty

Lance Fiondella, PhD

Associate Professor

Electrical & Computer Engineering

Director

Cybersecurity Center

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

2013RMIT UniversityPostdoc in Geospatial Science & Statistics
2012University of ConnecticutPhD in Computer Science & Engineering
2003University of ConnecticutMS in Computer Science
1999Eastern Connecticut State UniversityBS in Computer Science

Teaching

Programs

Teaching

Courses

Doctoral thesis proposal development based on technical writing process, data interpretation, experimental design. Students who successfully complete the course will be able to assess information from the primary scientific literature, formulate scientific questions (hypotheses), and generate an experimental plan to help validate or nullify their hypothesis. Students will demonstrate a command of oral and written communication skills by completing this course.

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.

Investigations of a fundamental and/or applied nature representing an original contribution to the scholarly research literature of the field. PhD dissertations are often published in refereed journals or presented at major conferences. A written dissertation must be completed in accordance with the rules of the Graduate School and the College of Engineering. Admission to the course is based on successful completion of the PhD comprehensive examination and submission of a formal proposal endorsed by the student's graduate committee and submitted to the EAS Graduate Program Director.

Algorithm development, syntax and semantics of the C programming language stressing computer systems concepts. Concepts of the machine model, procedural programming and program development including coding, debugging and testing of programs are covered. The use of libraries, header files and macros are covered. Engineering examples are used. Variables, operators, control, input/output, arrays, functions, pointers, and files are covered using engineering examples.

Algorithm development, syntax and semantics of the C programming language stressing computer systems concepts. Concepts of the machine model, procedural programming and program development including coding, debugging and testing of programs are covered. The use of libraries, header files and macros are covered. Engineering examples are used. Variables, operators, control, input/output, arrays, functions, pointers, and files are covered using engineering examples.

Computer system and program design issues, abstract data types, dynamic memory allocation, procedural and data structures using the C programming language. Concepts of the machine model, procedural programming and program development including coding, debugging, and testing of programs are covered. The following data structures are covered: linked lists, stacks, queues, binary trees and hash tables. Run time complexity and procedural abstractions such as recursive functions are discussed. Features of the C programming language such as multiple header files, libraries and input/output programming with files are covered using engineering examples.

Computer system and program design issues, abstract data types, dynamic memory allocation, procedural and data structures using the C programming language. Concepts of the machine model, procedural programming and program development including coding, debugging, and testing of programs are covered. The following data structures are covered: linked lists, stacks, queues, binary trees and hash tables. Run time complexity and procedural abstractions such as recursive functions are discussed. Features of the C programming language such as multiple header files, libraries and input/output programming with files are covered using engineering examples.

Investigations of a fundamental and/or applied nature intended to develop design techniques, research techniques, initiative and independent inquiry. A written project report has to be completed by the student and approved by the student's advisor. Admission is based on a formal proposal endorsed by an advisor and approved by the ECE Graduate Program Director.

Investigations of a fundamental and/or applied nature intended to develop design techniques, research techniques, initiative and independent inquiry. A written project report has to be completed by the student and approved by the student's advisor. Admission is based on a formal proposal endorsed by an advisor and approved by the ECE Graduate Program Director.

Allows study into areas not included in the formal course listings.

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

  • 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.

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