Francesca Favaro

 Francesca Favaro

Francesca Favaro

  • Courses3
  • Reviews8

Biography

Francesca M Favaro is a/an Instructional Faculty in the California State University department at California State University

San Jose State University - Aviation

Best Practices Specialist at Waymo
Francesca
Favarò
Experience and interests:

- System Safety and Risk Assessment
- Design and Numerical Optimization
- Linear Control
- Hazard Analysis and Accident Investigation
- Data Science and Machine Learning
- Information Flow Analysis and Optimization


Experience

    Education

    • Politecnico di Milano

      Bachelor of Science (B.S.)

      Aerospace Engineering

    • Politecnico di Milano

      Master of Science (M.S.)

      Space Engineering
      M.S. thesis title: New Analytical Models for Hybrid Rocket Diffusion Flames

    • Georgia Institute of Technology

      Doctor of Philosophy (Ph.D.)

      Major: Aerospace Engineering Minor: Mathematics
      Ph.D. thesis title: Safety Supervisory Control, Model-Based Hazard Monitoring, and Temporal Logic: Dynamic Risk-Informed Safety Interventions and Accident Prevention

    • Georgia Institute of Technology

      Master of Science (M.S.)

      Major: Aerospace Engineering Minor: Mathematics

    • G. Moneti Memorial Fellowship


      September 2012 - December 2015 The fellowship covers full-tuition and expenses each semester. The G. Moneti Memorial Fellowship is awarded every semester to an Italian student in the field of aerospace and aeronautical studies, based on merit.

    • Georgia Institute of Technology

      Graduate Research Assistant


      Expertise: System Safety; Risk Assessment; Hazard and Failure Analysis; Accident Investigation Thesis title: Model-based safety supervisory control for risk-informed safety interventions Research Topics: - Adoption of Temporal Logic to bear on Risk Assessment and System Safety - Introduction of Hazard Level and Danger Indices for on-line safety monitoring - Software contributions to aircraft mishaps (manned and unmanned) - Analysis of the chain of causality and primitives of causality Additional responsibilities: undergraduate research supervisor; reviewer of lab's publications.

    • Georgia Institute of Technology

      Graduate Teaching Assistant


      Deliverables: Drafting of homework (weekly); drafting of exams' content (monthly); weekly grading; occasional lecturing; class project mentoring and tutoring. Class size ranged from 40 to 80 students. Classes: Introduction to Aerospace Engineering; Vehicle Performance; Low Speed Aerodynamics; Dynamics; Classical and Modern Control; Engineering Graphics and Visualisation.

    Publications

    • Solid-Fuel Regression Rate Modeling for Hybrid Rockets

      Journal of Power and Propulsion

    • Solid-Fuel Regression Rate Modeling for Hybrid Rockets

      Journal of Power and Propulsion

    • Software contributions to aircraft adverse events: Case studies and analyses of recurrent accident patterns and failure mechanisms

      Reliability Engineering and System Safety

    • Solid-Fuel Regression Rate Modeling for Hybrid Rockets

      Journal of Power and Propulsion

    • Software contributions to aircraft adverse events: Case studies and analyses of recurrent accident patterns and failure mechanisms

      Reliability Engineering and System Safety

    • Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of Discrete Event Systems

      Reliability Engineering and System Safety - Elsevier

      An important consideration in safety analysis and accident prevention is the identification of and response to accident precursors. These off-nominal events are opportunities to recognize potential accident pathogens, identify overlooked accident sequences, and make technical and organizational decisions to address them before further escalation can occur. In this work, we develop a formal (mathematical) definition of accident precursors as truncated accident sequences within the modeling framework of Discrete Event Systems. Additionally, we examine the related notions of “accident pathogens” as static or lurking adverse conditions that can contribute to or aggravate an accident, as well as “near misses”, “warning signs” and the novel concept of “accident pathway”.

    • Solid-Fuel Regression Rate Modeling for Hybrid Rockets

      Journal of Power and Propulsion

    • Software contributions to aircraft adverse events: Case studies and analyses of recurrent accident patterns and failure mechanisms

      Reliability Engineering and System Safety

    • Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of Discrete Event Systems

      Reliability Engineering and System Safety - Elsevier

      An important consideration in safety analysis and accident prevention is the identification of and response to accident precursors. These off-nominal events are opportunities to recognize potential accident pathogens, identify overlooked accident sequences, and make technical and organizational decisions to address them before further escalation can occur. In this work, we develop a formal (mathematical) definition of accident precursors as truncated accident sequences within the modeling framework of Discrete Event Systems. Additionally, we examine the related notions of “accident pathogens” as static or lurking adverse conditions that can contribute to or aggravate an accident, as well as “near misses”, “warning signs” and the novel concept of “accident pathway”.

    • Autonomous Vehicles Disengagements: Trends, Triggers, and Regulatory Limitations

      Accident Analysis and Prevention

    • Solid-Fuel Regression Rate Modeling for Hybrid Rockets

      Journal of Power and Propulsion

    • Software contributions to aircraft adverse events: Case studies and analyses of recurrent accident patterns and failure mechanisms

      Reliability Engineering and System Safety

    • Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of Discrete Event Systems

      Reliability Engineering and System Safety - Elsevier

      An important consideration in safety analysis and accident prevention is the identification of and response to accident precursors. These off-nominal events are opportunities to recognize potential accident pathogens, identify overlooked accident sequences, and make technical and organizational decisions to address them before further escalation can occur. In this work, we develop a formal (mathematical) definition of accident precursors as truncated accident sequences within the modeling framework of Discrete Event Systems. Additionally, we examine the related notions of “accident pathogens” as static or lurking adverse conditions that can contribute to or aggravate an accident, as well as “near misses”, “warning signs” and the novel concept of “accident pathway”.

    • Autonomous Vehicles Disengagements: Trends, Triggers, and Regulatory Limitations

      Accident Analysis and Prevention

    • Observability-in-depth: an essential complement to the defense-in-depth safety strategy in the nuclear industry

      Nuclear Engineering Technology

    • Solid-Fuel Regression Rate Modeling for Hybrid Rockets

      Journal of Power and Propulsion

    • Software contributions to aircraft adverse events: Case studies and analyses of recurrent accident patterns and failure mechanisms

      Reliability Engineering and System Safety

    • Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of Discrete Event Systems

      Reliability Engineering and System Safety - Elsevier

      An important consideration in safety analysis and accident prevention is the identification of and response to accident precursors. These off-nominal events are opportunities to recognize potential accident pathogens, identify overlooked accident sequences, and make technical and organizational decisions to address them before further escalation can occur. In this work, we develop a formal (mathematical) definition of accident precursors as truncated accident sequences within the modeling framework of Discrete Event Systems. Additionally, we examine the related notions of “accident pathogens” as static or lurking adverse conditions that can contribute to or aggravate an accident, as well as “near misses”, “warning signs” and the novel concept of “accident pathway”.

    • Autonomous Vehicles Disengagements: Trends, Triggers, and Regulatory Limitations

      Accident Analysis and Prevention

    • Observability-in-depth: an essential complement to the defense-in-depth safety strategy in the nuclear industry

      Nuclear Engineering Technology

    • Software in military aviation and drone mishaps: Analysis and recommendations for the investigation process

      Reliability Engineering and System Safety

    • Solid-Fuel Regression Rate Modeling for Hybrid Rockets

      Journal of Power and Propulsion

    • Software contributions to aircraft adverse events: Case studies and analyses of recurrent accident patterns and failure mechanisms

      Reliability Engineering and System Safety

    • Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of Discrete Event Systems

      Reliability Engineering and System Safety - Elsevier

      An important consideration in safety analysis and accident prevention is the identification of and response to accident precursors. These off-nominal events are opportunities to recognize potential accident pathogens, identify overlooked accident sequences, and make technical and organizational decisions to address them before further escalation can occur. In this work, we develop a formal (mathematical) definition of accident precursors as truncated accident sequences within the modeling framework of Discrete Event Systems. Additionally, we examine the related notions of “accident pathogens” as static or lurking adverse conditions that can contribute to or aggravate an accident, as well as “near misses”, “warning signs” and the novel concept of “accident pathway”.

    • Autonomous Vehicles Disengagements: Trends, Triggers, and Regulatory Limitations

      Accident Analysis and Prevention

    • Observability-in-depth: an essential complement to the defense-in-depth safety strategy in the nuclear industry

      Nuclear Engineering Technology

    • Software in military aviation and drone mishaps: Analysis and recommendations for the investigation process

      Reliability Engineering and System Safety

    • Examining Accident Reports Involving Autonomous Vehicles in California

      Plos One

    • Solid-Fuel Regression Rate Modeling for Hybrid Rockets

      Journal of Power and Propulsion

    • Software contributions to aircraft adverse events: Case studies and analyses of recurrent accident patterns and failure mechanisms

      Reliability Engineering and System Safety

    • Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of Discrete Event Systems

      Reliability Engineering and System Safety - Elsevier

      An important consideration in safety analysis and accident prevention is the identification of and response to accident precursors. These off-nominal events are opportunities to recognize potential accident pathogens, identify overlooked accident sequences, and make technical and organizational decisions to address them before further escalation can occur. In this work, we develop a formal (mathematical) definition of accident precursors as truncated accident sequences within the modeling framework of Discrete Event Systems. Additionally, we examine the related notions of “accident pathogens” as static or lurking adverse conditions that can contribute to or aggravate an accident, as well as “near misses”, “warning signs” and the novel concept of “accident pathway”.

    • Autonomous Vehicles Disengagements: Trends, Triggers, and Regulatory Limitations

      Accident Analysis and Prevention

    • Observability-in-depth: an essential complement to the defense-in-depth safety strategy in the nuclear industry

      Nuclear Engineering Technology

    • Software in military aviation and drone mishaps: Analysis and recommendations for the investigation process

      Reliability Engineering and System Safety

    • Examining Accident Reports Involving Autonomous Vehicles in California

      Plos One

    • Towards Risk Analysis 2.0: Safety Supervisory Control and Model-Based Hazard Monitoring for Risk-Informed Safety Interventions

      Reliability Engineering and System Safety

    • Solid-Fuel Regression Rate Modeling for Hybrid Rockets

      Journal of Power and Propulsion

    • Software contributions to aircraft adverse events: Case studies and analyses of recurrent accident patterns and failure mechanisms

      Reliability Engineering and System Safety

    • Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of Discrete Event Systems

      Reliability Engineering and System Safety - Elsevier

      An important consideration in safety analysis and accident prevention is the identification of and response to accident precursors. These off-nominal events are opportunities to recognize potential accident pathogens, identify overlooked accident sequences, and make technical and organizational decisions to address them before further escalation can occur. In this work, we develop a formal (mathematical) definition of accident precursors as truncated accident sequences within the modeling framework of Discrete Event Systems. Additionally, we examine the related notions of “accident pathogens” as static or lurking adverse conditions that can contribute to or aggravate an accident, as well as “near misses”, “warning signs” and the novel concept of “accident pathway”.

    • Autonomous Vehicles Disengagements: Trends, Triggers, and Regulatory Limitations

      Accident Analysis and Prevention

    • Observability-in-depth: an essential complement to the defense-in-depth safety strategy in the nuclear industry

      Nuclear Engineering Technology

    • Software in military aviation and drone mishaps: Analysis and recommendations for the investigation process

      Reliability Engineering and System Safety

    • Examining Accident Reports Involving Autonomous Vehicles in California

      Plos One

    • Towards Risk Analysis 2.0: Safety Supervisory Control and Model-Based Hazard Monitoring for Risk-Informed Safety Interventions

      Reliability Engineering and System Safety

    • Application of Temporal Logic for Safety Supervisory Control and Model-Based Hazard Monitoring

      Reliability Engineering and System Safety

    • Solid-Fuel Regression Rate Modeling for Hybrid Rockets

      Journal of Power and Propulsion

    • Software contributions to aircraft adverse events: Case studies and analyses of recurrent accident patterns and failure mechanisms

      Reliability Engineering and System Safety

    • Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of Discrete Event Systems

      Reliability Engineering and System Safety - Elsevier

      An important consideration in safety analysis and accident prevention is the identification of and response to accident precursors. These off-nominal events are opportunities to recognize potential accident pathogens, identify overlooked accident sequences, and make technical and organizational decisions to address them before further escalation can occur. In this work, we develop a formal (mathematical) definition of accident precursors as truncated accident sequences within the modeling framework of Discrete Event Systems. Additionally, we examine the related notions of “accident pathogens” as static or lurking adverse conditions that can contribute to or aggravate an accident, as well as “near misses”, “warning signs” and the novel concept of “accident pathway”.

    • Autonomous Vehicles Disengagements: Trends, Triggers, and Regulatory Limitations

      Accident Analysis and Prevention

    • Observability-in-depth: an essential complement to the defense-in-depth safety strategy in the nuclear industry

      Nuclear Engineering Technology

    • Software in military aviation and drone mishaps: Analysis and recommendations for the investigation process

      Reliability Engineering and System Safety

    • Examining Accident Reports Involving Autonomous Vehicles in California

      Plos One

    • Towards Risk Analysis 2.0: Safety Supervisory Control and Model-Based Hazard Monitoring for Risk-Informed Safety Interventions

      Reliability Engineering and System Safety

    • Application of Temporal Logic for Safety Supervisory Control and Model-Based Hazard Monitoring

      Reliability Engineering and System Safety

    • Texas City refinery accident: Case study in breakdown of defense-in-depth and violation of the safety–diagnosability principle in design

      Engineering Failure Analysis

      n this work, we first examine the accident pathogens or lurking adverse conditions at the refinery prior to the accident. We then analyze the sequence of events that led to the explosion, and we highlight some of the provisions for the implementation of defense-in-depth and their failures. Next we identify a fundamental failure mechanism in this accident, namely the absence of observability or ability to diagnose hazardous states in the operation of the refinery, in particular within the raffinate splitter tower and the blowdown drum of the isomerization unit. We propose a general safety–diagnosability principle for supporting accident prevention, which requires that all safety-degrading events or states that defense-in-depth is meant to protect against be diagnosable, and that breaches of safety barriers be unambiguously monitored and reported.

    • Solid-Fuel Regression Rate Modeling for Hybrid Rockets

      Journal of Power and Propulsion

    • Software contributions to aircraft adverse events: Case studies and analyses of recurrent accident patterns and failure mechanisms

      Reliability Engineering and System Safety

    • Accident precursors, near misses, and warning signs: Critical review and formal definitions within the framework of Discrete Event Systems

      Reliability Engineering and System Safety - Elsevier

      An important consideration in safety analysis and accident prevention is the identification of and response to accident precursors. These off-nominal events are opportunities to recognize potential accident pathogens, identify overlooked accident sequences, and make technical and organizational decisions to address them before further escalation can occur. In this work, we develop a formal (mathematical) definition of accident precursors as truncated accident sequences within the modeling framework of Discrete Event Systems. Additionally, we examine the related notions of “accident pathogens” as static or lurking adverse conditions that can contribute to or aggravate an accident, as well as “near misses”, “warning signs” and the novel concept of “accident pathway”.

    • Autonomous Vehicles Disengagements: Trends, Triggers, and Regulatory Limitations

      Accident Analysis and Prevention

    • Observability-in-depth: an essential complement to the defense-in-depth safety strategy in the nuclear industry

      Nuclear Engineering Technology

    • Software in military aviation and drone mishaps: Analysis and recommendations for the investigation process

      Reliability Engineering and System Safety

    • Examining Accident Reports Involving Autonomous Vehicles in California

      Plos One

    • Towards Risk Analysis 2.0: Safety Supervisory Control and Model-Based Hazard Monitoring for Risk-Informed Safety Interventions

      Reliability Engineering and System Safety

    • Application of Temporal Logic for Safety Supervisory Control and Model-Based Hazard Monitoring

      Reliability Engineering and System Safety

    • Texas City refinery accident: Case study in breakdown of defense-in-depth and violation of the safety–diagnosability principle in design

      Engineering Failure Analysis

      n this work, we first examine the accident pathogens or lurking adverse conditions at the refinery prior to the accident. We then analyze the sequence of events that led to the explosion, and we highlight some of the provisions for the implementation of defense-in-depth and their failures. Next we identify a fundamental failure mechanism in this accident, namely the absence of observability or ability to diagnose hazardous states in the operation of the refinery, in particular within the raffinate splitter tower and the blowdown drum of the isomerization unit. We propose a general safety–diagnosability principle for supporting accident prevention, which requires that all safety-degrading events or states that defense-in-depth is meant to protect against be diagnosable, and that breaches of safety barriers be unambiguously monitored and reported.

    • System safety principles: A multidisciplinary engineering perspective

      Journal of Loss Prevention in the Process Industries

      In this work, we propose a set of five safety principles, which are domain-independent, technologically agnostic, and broadly applicable across industries. While there is a proliferation of detailed safety measures (tactics) in specific areas and industries, a synthesis of high-level safety principles or strategies that are independent of any particular instantiation, and from which specific safety measures can be derived or related to, has pedagogical value and fulfills an important role in safety training and education. Such synthesis effort also supports creativity and technical ingenuity in the workforce for deriving specific safety measures, and for implementing these principles and handling specific local or new risks.

    AVIA 193

    3.8(6)