Nicola Bezzo headshot
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Nicola Bezzo

Assistant Professor
Unit: School of Engineering and Applied Science
Department: Department of Systems and Information Engineering
Office location and address
Olsson Hall, Suite 102F
151 Engineer's Way
Charlottesville, Virginia 22903
Education
B.S. ​Electrical Engineering, Politecnico di Milano, 2006
M.S. ​Electrical Engineering, politecnico di Milano, 2008
Ph.D. ​Electrical and Computer Engineering, University of New Mexico, 2012
Post-Doc ​Computer Science, University of Pennsylvania/ PRECISE Center, 2015
Biography

Nicola Bezzo is an Assistant Professor with the Department of Systems and Information Engineering and the Department of Electrical and Computer Engineering at the University of Virginia. Prior to joining UVa in January 2016, he was a Postdoctoral Researcher at the PRECISE Center, in the Department of Computer and Information Science at the University of Pennsylvania (UPenn) where he worked on topics related to robotics and cyber-physical systems security. He received a Ph.D. degree in Electrical and Computer Engineering from the University of New Mexico where he focused on the development of theories for motion planning of aerial and ground robotic systems under communication constraints. Prior to his Ph.D. he received both M.S. and B.S. degrees in Electrical Engineering with honors (summa cum laude) from Politecnico di Milano, Italy. Nicola was the recipient of the 2010 Gold Medal from the Politecnico School of Engineering and the 2011 Best Graduate Student Service Award from the University of New Mexico. He has received the 2016 Robotics and Automation Magazine Best Paper Award and the Best Paper Award at the 2014 CPSWeek International Conference on Cyber-Physical Systems.

SaTC: CORE: Small: Online Malicious Intent Inference for Safe CPS Operations under Cyber-attacks
Source: U.S. National Science Foundation (NSF)
September 01, 2018 – August 31, 2022
CRI: II-NEW: The Living Link Lab: Infrastructure for Enhancing Occupant Experience and Building Operations
Source: U.S. National Science Foundation (NSF)
August 15, 2018 – August 31, 2022
Integrated Static and Dynamic Approaches to High-Assurance for Learning-Enabled Cyber-Physical Systems
Source: University Of Pennsylvania
January 01, 2018 – March 30, 2022
Self-Assurance Modules for Autonomous Systems (SAMAS)
Source: Galois, Inc.
February 04, 2021 – April 30, 2021
Development of Control-Aware Cyber Techniques for Attack-Resilient Industrial Control & Combat Systems
Source: University Of Pennsylvania
January 01, 2017 – December 31, 2020
Capstone: Fly-Crash-Recover: Safe Recovery of Faulty UAVs
Source: The Mitre Corporation
September 01, 2019 – September 30, 2019
Toward Attack Resilient Control of Cyber-Physical Systems
Source: Booz Allen Hamilton, Inc.
September 01, 2017 – May 18, 2018
EN-SIE Human Capital Development - Resilient Cyber-Physical Systems
Source: Stevens Institute of Technology
March 01, 2017 – September 29, 2017
EN-SE Attack-Resilient Autonomous Vehicles
Source: University Of Pennsylvania
January 01, 2016 – February 12, 2017
CS 1501: Special Topics in Computer Science
Credits: 1
Student led special topic courses which vary by semester.
SYS 3062: Discrete Event Simulation
Credits: 4
A first course in the theory and practice of discrete-event simulation. Monte Carlo methods, generating random numbers and variates, spreadsheet add-ins and applications, sampling distributions and confidence intervals, input analysis and distribution fitting. Discrete-event dynamic systems, modeling, simulation logic and data structures, output analysis, model verification and validation, comparing alternative systems, simulation optimization, case studies. Applications span communication, computer, distribution, health-care, manufacturing, service, and transportation systems. Modern simulation software tools, including animation. Prerequisite: CS 2110, APMA 3100, 3120, and major in systems engineering.
SYS 4053: Systems Design I
Credits: 3
A design project extending throughout the fall semester. Involves the study of an actual open-ended situation, including problem formulation, data collection, analysis and interpretation, model building for the purpose of evaluating design options, model analysis, and generation of solutions. Includes an appropriate computer laboratory experience. Prerequisite: SYS 3021, 3060, and fourth-year standing in the Systems Engineering major.
SYS 4054: Systems Design II
Credits: 3
A design project extending throughout the spring semester. Involves the study of an actual open-ended situation, including problem formulation, data collection, analysis and interpretation, model building for the purpose of evaluating design options, model analysis, and generation of solutions. Includes an appropriate computer laboratory experience. Prerequisite: SYS 4053.
ECE 4502: Special Topics in Electrical and Computer Engineering
Credits: 1–4
A fourth-level undergraduate course covering a topic not normally covered in the course offerings. The topic usually reflects new developments in the electrical and computer engineering field. Offering is based on student and faculty interests.
ECE 4908: Electrical Engineering Projects
Credits: 1–3
Under faculty supervision, students plan a project of at least one semester's duration, conduct the analysis or design and test, and report on the results. If this work is to be the basis for an undergraduate thesis, the course should be taken no later than the seventh semester. Prerequisite: Instructor permission.
CS 4980: Capstone Research
Credits: 1–3
This course is one option in the CS fourth-year thesis track. Students will seek out a faculty member as an advisor, and do an independent project with said advisor. Instructors can give the 3 credits across multiple semesters, if desired. This course is designed for students who are doing research, and want to use that research for their senior thesis. Note that this track could also be an implementation project, including a group-based project. Prerequisite: CS 2150 with a grade of C- or higher
CS 4993: Independent Study
Credits: 1–3
In-depth study of a computer science or computer engineering problem by an individual student in close consultation with departmental faculty. The study is often either a thorough analysis of an abstract computer science problem or the design, implementation, and analysis of a computer system (software or hardware). Prerequisite: Instructor permission.
SYS 4995: Supervised Projects in Systems Engineering
Credits: 1–6
Independent study or project research under the guidance of a faculty member. Offered as required. Prerequisite: As specified for each offering.
CS 4998: Distinguished BA Majors Research
Credits: 3
Required for Distinguished Majors completing the Bachelor of Arts degree in the College of Arts and Sciences. An introduction to computer science research and the writing of a Distinguished Majors thesis. Prerequisites: CS 2150 with a grade of C- or higher and CS BA major status.
SYS 6097: Graduate Teaching Instruction
Credits: 1–12
For master's students.
CS 6501: Special Topics in Computer Science
Credits: 3
Course content varies by section and is selected to fill timely and special interests and needs of students. See CS 7501 for example topics. May be repeated for credit when topic varies. Prerequisite: Instructor permission.
ECE 6501: Topics in Electrical and Computer Engineering
Credits: 3
A first-level graduate course covering a topic not normally covered in the graduate course offerings. The topic will usually reflect new developments in the electrical and computer engineering field. Offering is based on student and faculty interests. Prerequisite: Instructor permission.
ECE 6550: Special Topics in Electrical and Computer Engineering
Credits: 1–3
A non-graded lab-based course that provides a hands-on way to learn about new developments in electrical and computer engineering fields. Topics include technologies or application areas that relate to ongoing design and research activities of faculty and students.
SYS 6581: Selected Topics in Systems Engineering
Credits: 1–3
Detailed study of a selected topic, determined by the current interest of faculty and students. Offered as required.
SYS 6993: Independent Study
Credits: 1–12
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
ECE 6993: Independent Study
Credits: 1–3
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
SYS 6995: Supervised Project Research
Credits: 1–12
Formal record of student commitment to project research under the guidance of a faculty advisor. Registration may be repeated as necessary.
ECE 6995: Supervised Project Research
Credits: 3–6
Formal record of student commitment to project research under the guidance of a faculty advisor. A project report is required at the completion of each semester. May be repeated as necessary.
SYS 7993: Independent Study
Credits: 1–12
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
CS 7993: Independent Study
Credits: 1–12
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
ECE 7993: Independent Study
Credits: 3
Detailed study of graduate course material on an independent basis under the guidance of a faculty member.
CS 7995: Supervised Project Research
Credits: 3
Formal record of student commitment to project research for the Master of Computer Science degree under the guidance of a faculty advisor.
SYS 8995: Supervised Project Research
Credits: 1–12
Formal record of student commitment to project research for Master of Engineering degree under the guidance of a faculty advisor. Registration may be repeated as necessary.
ECE 8999: Thesis
Credits: 1–12
Formal record of student commitment to master's thesis research under the guidance of a faculty advisor. May be repeated as necessary.
SYS 8999: Non-Topical Research, Masters
Credits: 1–12
Formal record of student commitment to master's research under the guidance of a faculty advisor. Registration may be repeated as necessary.
CS 8999: Thesis
Credits: 1–12
Formal record of student commitment to thesis research for the Master of Science degree under the guidance of a faculty advisor. May be repeated as necessary.
SYS 9997: Graduate Teaching Instruction
Credits: 1–12
For doctoral students.
SYS 9999: Dissertation
Credits: 1–12
For doctoral students.
ECE 9999: Dissertation
Credits: 1–12
Formal record of student commitment to doctoral research under the guidance of a faculty advisor. May be repeated as necessary.
CPE 9999: Non-Topical Research, Doctoral Dissertation
Credits: 1–12
Formal record of student commitment to doctoral research under the guidance of a faculty adviser. May be repeated as necessary.

Robotics and Automation Magazine Best Paper Award 2016

Best Paper Award at the CPSWeek International Conference on Cyber-Physical Systems 2014

Best Graduate Student Service Award from the University of New Mexico 2011

Gold Medal from the Politecnico School of Engineering 2010