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University Calendar
Events for April
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DREAM Industry Mentorship speaker series- Danny Stedman
Mon, Apr 01, 2024 @ 12:00 PM - 01:00 PM
USC Viterbi School of Engineering
University Calendar
DREAM Industry Mentorship speaker series connects students with experienced industry professionals from a variety of tech and destination companies who help them create a vision for their futures, align their careers around purpose, and build character in the context of growth, reinvention, and constant change. Industry Mentors discuss how professional challenges present opportunities for character and leadership development. This event features Danny Stedman, founder and CEO at Pressto, on why writing matters and how AI as an intentional learning tool can empower young people to master the writing process.
Location: Michelson Center for Convergent Bioscience (MCB) - 102
Audiences: Everyone Is Invited
Contact: Elisabeth Arnold Weiss
Event Link: https://cglink.me/2nB/r394800
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PhD Defense - Jared Coleman
Thu, Apr 04, 2024 @ 10:00 AM - 11:30 AM
Thomas Lord Department of Computer Science
University Calendar
PhD Defense: Jared Coleman
Title: Dispersed Computing for Dynamic Environments Committee: Bhaskar Krishnamachari (Chair), Konstantinos Psounis, Jyotirmoy Deshmukh
Abstract: Scheduling a distributed application modeled as a directed acyclic task graph over a set of networked compute nodes is a fundamental problem in distributed computing and thus has received substantial scholarly attention. Most existing solutions, however, fall short of accommodating the dynamic and stochastic nature of modern dispersed computing systems (e.g., IoT, edge, and robotic systems) where applications and compute networks have stricter and less stable resource constraints. In this dissertation, we identify problems and propose solutions that address this gap and advance the current state-of-the-art in task scheduling.Location: Ronald Tutor Hall of Engineering (RTH) - 211
Audiences: Everyone Is Invited
Contact: Asiroh Cham
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Aviation Safety Management Systems ASMS 24-4Mon, Apr 08, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
A Safety Management System (SMS) is now required for international commercial aircraft operators, airports, and air traffic services. The International Civil Aviation Organization (ICAO) established the standards and implementing procedures for SMS. All 191 countries that are members of ICAO have established or are establishing regulatory requirements for the implementation of SMS. This course teaches how organizations can establish an SMS within the context of their current safety system that meets the basic international standards of ICAO. The SMS Framework serves as a central foundation for this course.
SMS is a safety system by which an organization takes a more active role in identifying, analyzing, and mitigating safety issues that occur in the normal operation of their organization. SMS requires that organizational management take responsibility for the company’s safety program. The SMS approach requires the safety/quality team to be educated in their duties and responsibilities. This course will give you the essential skills to manage an organizational Safety Management System (SMS). The attendee will be able to manage a Safety Management System that includes risk management, audits, data collection, analysis, and incident investigations.
This course is designed for the individual planning or directing an aviation Safety Management System program. Fundamentals in systems organization and structure provide the individual with the skills and methodology to plan and manage an effective program. Emphasis is placed on understanding the principles of risk management, identifying program development strategies, audits, and applying the knowledge toward effective management systems and interoperability with Quality Assurance.Location: Online
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AASMS4
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Artificial Intelligence System Safety AISYS 24-2
Mon, Apr 08, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
Artificial Intelligence (AI), Machine Learning (ML), and autonomous systems have become pervasive in software applications. However, the implications for AI safety have created new concerns and risk factors, especially for autonomous vehicles. This course thoroughly surveys AI, machine learning, optimization, and autonomous vehicle techniques, followed by safety and hazard analysis methods. Along the way, we will bring clarity to definitions, actual capabilities of AI systems, and the current state of data science. Case studies and real-world incidents will also provide learnings and insights to advance the goal of AI safety.
Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AAISYS2
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Aviation Safety Management Systems ASMS 24-4
Tue, Apr 09, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
A Safety Management System (SMS) is now required for international commercial aircraft operators, airports, and air traffic services. The International Civil Aviation Organization (ICAO) established the standards and implementing procedures for SMS. All 191 countries that are members of ICAO have established or are establishing regulatory requirements for the implementation of SMS. This course teaches how organizations can establish an SMS within the context of their current safety system that meets the basic international standards of ICAO. The SMS Framework serves as a central foundation for this course.
SMS is a safety system by which an organization takes a more active role in identifying, analyzing, and mitigating safety issues that occur in the normal operation of their organization. SMS requires that organizational management take responsibility for the company’s safety program. The SMS approach requires the safety/quality team to be educated in their duties and responsibilities. This course will give you the essential skills to manage an organizational Safety Management System (SMS). The attendee will be able to manage a Safety Management System that includes risk management, audits, data collection, analysis, and incident investigations.
This course is designed for the individual planning or directing an aviation Safety Management System program. Fundamentals in systems organization and structure provide the individual with the skills and methodology to plan and manage an effective program. Emphasis is placed on understanding the principles of risk management, identifying program development strategies, audits, and applying the knowledge toward effective management systems and interoperability with Quality Assurance.Location: Online
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AASMS4
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Artificial Intelligence System Safety AISYS 24-2
Tue, Apr 09, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
Artificial Intelligence (AI), Machine Learning (ML), and autonomous systems have become pervasive in software applications. However, the implications for AI safety have created new concerns and risk factors, especially for autonomous vehicles. This course thoroughly surveys AI, machine learning, optimization, and autonomous vehicle techniques, followed by safety and hazard analysis methods. Along the way, we will bring clarity to definitions, actual capabilities of AI systems, and the current state of data science. Case studies and real-world incidents will also provide learnings and insights to advance the goal of AI safety.
Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AAISYS2
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Aviation Safety Management Systems ASMS 24-4
Wed, Apr 10, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
A Safety Management System (SMS) is now required for international commercial aircraft operators, airports, and air traffic services. The International Civil Aviation Organization (ICAO) established the standards and implementing procedures for SMS. All 191 countries that are members of ICAO have established or are establishing regulatory requirements for the implementation of SMS. This course teaches how organizations can establish an SMS within the context of their current safety system that meets the basic international standards of ICAO. The SMS Framework serves as a central foundation for this course.
SMS is a safety system by which an organization takes a more active role in identifying, analyzing, and mitigating safety issues that occur in the normal operation of their organization. SMS requires that organizational management take responsibility for the company’s safety program. The SMS approach requires the safety/quality team to be educated in their duties and responsibilities. This course will give you the essential skills to manage an organizational Safety Management System (SMS). The attendee will be able to manage a Safety Management System that includes risk management, audits, data collection, analysis, and incident investigations.
This course is designed for the individual planning or directing an aviation Safety Management System program. Fundamentals in systems organization and structure provide the individual with the skills and methodology to plan and manage an effective program. Emphasis is placed on understanding the principles of risk management, identifying program development strategies, audits, and applying the knowledge toward effective management systems and interoperability with Quality Assurance.Location: Online
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AASMS4
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Artificial Intelligence System Safety AISYS 24-2
Wed, Apr 10, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
Artificial Intelligence (AI), Machine Learning (ML), and autonomous systems have become pervasive in software applications. However, the implications for AI safety have created new concerns and risk factors, especially for autonomous vehicles. This course thoroughly surveys AI, machine learning, optimization, and autonomous vehicle techniques, followed by safety and hazard analysis methods. Along the way, we will bring clarity to definitions, actual capabilities of AI systems, and the current state of data science. Case studies and real-world incidents will also provide learnings and insights to advance the goal of AI safety.
Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AAISYS2
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Aviation Safety Management Systems ASMS 24-4
Thu, Apr 11, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
A Safety Management System (SMS) is now required for international commercial aircraft operators, airports, and air traffic services. The International Civil Aviation Organization (ICAO) established the standards and implementing procedures for SMS. All 191 countries that are members of ICAO have established or are establishing regulatory requirements for the implementation of SMS. This course teaches how organizations can establish an SMS within the context of their current safety system that meets the basic international standards of ICAO. The SMS Framework serves as a central foundation for this course.
SMS is a safety system by which an organization takes a more active role in identifying, analyzing, and mitigating safety issues that occur in the normal operation of their organization. SMS requires that organizational management take responsibility for the company’s safety program. The SMS approach requires the safety/quality team to be educated in their duties and responsibilities. This course will give you the essential skills to manage an organizational Safety Management System (SMS). The attendee will be able to manage a Safety Management System that includes risk management, audits, data collection, analysis, and incident investigations.
This course is designed for the individual planning or directing an aviation Safety Management System program. Fundamentals in systems organization and structure provide the individual with the skills and methodology to plan and manage an effective program. Emphasis is placed on understanding the principles of risk management, identifying program development strategies, audits, and applying the knowledge toward effective management systems and interoperability with Quality Assurance.Location: Online
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AASMS4
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Artificial Intelligence System Safety AISYS 24-2
Thu, Apr 11, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
Artificial Intelligence (AI), Machine Learning (ML), and autonomous systems have become pervasive in software applications. However, the implications for AI safety have created new concerns and risk factors, especially for autonomous vehicles. This course thoroughly surveys AI, machine learning, optimization, and autonomous vehicle techniques, followed by safety and hazard analysis methods. Along the way, we will bring clarity to definitions, actual capabilities of AI systems, and the current state of data science. Case studies and real-world incidents will also provide learnings and insights to advance the goal of AI safety.
Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AAISYS2
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VLP LeetCode Jam Night
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Thu, Apr 11, 2024 @ 04:00 PM - 06:00 PM
Viterbi School of Engineering Student Affairs
University Calendar
Jam with the Viterbi Learning Program! Join us for a company-specific (MAANG) problems session where we code and discuss. Pizza will be provided! Space is limited! RSVP Today: https://engage.usc.edu/VLP/rsvp_boot?id=396569
Location: Ronald Tutor Hall of Engineering (RTH) - 206
Audiences: Everyone Is Invited
Contact: Alex Bronz
Event Link: https://engage.usc.edu/VLP/rsvp_boot?id=396569
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Aviation Safety Management Systems ASMS 24-4
Fri, Apr 12, 2024 @ 08:00 AM - 12:00 PM
Aviation Safety and Security Program
University Calendar
A Safety Management System (SMS) is now required for international commercial aircraft operators, airports, and air traffic services. The International Civil Aviation Organization (ICAO) established the standards and implementing procedures for SMS. All 191 countries that are members of ICAO have established or are establishing regulatory requirements for the implementation of SMS. This course teaches how organizations can establish an SMS within the context of their current safety system that meets the basic international standards of ICAO. The SMS Framework serves as a central foundation for this course. SMS is a safety system by which an organization takes a more active role in identifying, analyzing, and mitigating safety issues that occur in the normal operation of their organization. SMS requires that organizational management take responsibility for the company’s safety program. The SMS approach requires the safety/quality team to be educated in their duties and responsibilities. This course will give you the essential skills to manage an organizational Safety Management System (SMS). The attendee will be able to manage a Safety Management System that includes risk management, audits, data collection, analysis, and incident investigations. This course is designed for the individual planning or directing an aviation Safety Management System program. Fundamentals in systems organization and structure provide the individual with the skills and methodology to plan and manage an effective program. Emphasis is placed on understanding the principles of risk management, identifying program development strategies, audits, and applying the knowledge toward effective management systems and interoperability with Quality Assurance.
Location: Online
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AASMS4
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Artificial Intelligence System Safety AISYS 24-2
Fri, Apr 12, 2024 @ 08:00 AM - 12:00 PM
Aviation Safety and Security Program
University Calendar
Artificial Intelligence (AI), Machine Learning (ML), and autonomous systems have become pervasive in software applications. However, the implications for AI safety have created new concerns and risk factors, especially for autonomous vehicles. This course thoroughly surveys AI, machine learning, optimization, and autonomous vehicle techniques, followed by safety and hazard analysis methods. Along the way, we will bring clarity to definitions, actual capabilities of AI systems, and the current state of data science. Case studies and real-world incidents will also provide learnings and insights to advance the goal of AI safety.
Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AAISYS2
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Aviation Safety Management Systems ASMS 24-4
Mon, Apr 15, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
A Safety Management System (SMS) is now required for international commercial aircraft operators, airports, and air traffic services. The International Civil Aviation Organization (ICAO) established the standards and implementing procedures for SMS. All 191 countries that are members of ICAO have established or are establishing regulatory requirements for the implementation of SMS. This course teaches how organizations can establish an SMS within the context of their current safety system that meets the basic international standards of ICAO. The SMS Framework serves as a central foundation for this course.
SMS is a safety system by which an organization takes a more active role in identifying, analyzing, and mitigating safety issues that occur in the normal operation of their organization. SMS requires that organizational management take responsibility for the company’s safety program. The SMS approach requires the safety/quality team to be educated in their duties and responsibilities. This course will give you the essential skills to manage an organizational Safety Management System (SMS). The attendee will be able to manage a Safety Management System that includes risk management, audits, data collection, analysis, and incident investigations.
This course is designed for the individual planning or directing an aviation Safety Management System program. Fundamentals in systems organization and structure provide the individual with the skills and methodology to plan and manage an effective program. Emphasis is placed on understanding the principles of risk management, identifying program development strategies, audits, and applying the knowledge toward effective management systems and interoperability with Quality Assurance.Location: Online
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AASMS4
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Data for Safety Management DATA 24-2
Mon, Apr 15, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
The analysis of digital flight data collected from actual flights has resulted in tremendous steps forward in aviation safety. It is no longer necessary for an accident or incident to occur in order for safety hazards to be revealed. Flight Data Analysis provides critical safety information to identify trends, issues, and potentially dangerous practices. All modern commercial and business jet aircraft are equipped with flight data recorders that serve as the initial collection devices for flight data analysis. This course will present the basics of flight data analysis based on real-time flight information. It will present opportunities to analyze collective flight data as would be utilized by a commercial aircraft operator. The course will present animation software that depicts flight profiles and examines other sources of data, including video and air traffic control data, that may be used to create a data-based safety case.
Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24ADATA2
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Aviation Safety Management Systems ASMS 24-4
Tue, Apr 16, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
A Safety Management System (SMS) is now required for international commercial aircraft operators, airports, and air traffic services. The International Civil Aviation Organization (ICAO) established the standards and implementing procedures for SMS. All 191 countries that are members of ICAO have established or are establishing regulatory requirements for the implementation of SMS. This course teaches how organizations can establish an SMS within the context of their current safety system that meets the basic international standards of ICAO. The SMS Framework serves as a central foundation for this course.
SMS is a safety system by which an organization takes a more active role in identifying, analyzing, and mitigating safety issues that occur in the normal operation of their organization. SMS requires that organizational management take responsibility for the company’s safety program. The SMS approach requires the safety/quality team to be educated in their duties and responsibilities. This course will give you the essential skills to manage an organizational Safety Management System (SMS). The attendee will be able to manage a Safety Management System that includes risk management, audits, data collection, analysis, and incident investigations.
This course is designed for the individual planning or directing an aviation Safety Management System program. Fundamentals in systems organization and structure provide the individual with the skills and methodology to plan and manage an effective program. Emphasis is placed on understanding the principles of risk management, identifying program development strategies, audits, and applying the knowledge toward effective management systems and interoperability with Quality Assurance.Location: Online
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AASMS4
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Data for Safety Management DATA 24-2
Tue, Apr 16, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
The analysis of digital flight data collected from actual flights has resulted in tremendous steps forward in aviation safety. It is no longer necessary for an accident or incident to occur in order for safety hazards to be revealed. Flight Data Analysis provides critical safety information to identify trends, issues, and potentially dangerous practices. All modern commercial and business jet aircraft are equipped with flight data recorders that serve as the initial collection devices for flight data analysis. This course will present the basics of flight data analysis based on real-time flight information. It will present opportunities to analyze collective flight data as would be utilized by a commercial aircraft operator. The course will present animation software that depicts flight profiles and examines other sources of data, including video and air traffic control data, that may be used to create a data-based safety case.
Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24ADATA2
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Human Error Analysis for System Safety HEASS 24-2
Tue, Apr 16, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
System safety analysis of engineered systems must often deal with the possibility of human error leading to adverse conditions. Hence, human error probability evaluation is an important part of system safety. This course presents a summary of the methods and underlying theory for estimating human error probabilities. The course begins with a discussion on human factors and their influence on the possibility of human error. The various methods for estimating human error probabilities under different conditions are presented. Each method's background, underlying theory, advantages, and disadvantages will be covered. Typical human error probability values used in various industries will be provided. This class is offered in person and online.
Location: Century Boulevard Building (CBB) - 960
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AHEASS2
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Human Error Analysis for System Safety HEASS 24-2
Tue, Apr 16, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
System safety analysis of engineered systems must often deal with the possibility of human error leading to adverse conditions. Hence, human error probability evaluation is an important part of system safety. This course presents a summary of the methods and underlying theory for estimating human error probabilities. The course begins with a discussion on human factors and their influence on the possibility of human error. The various methods for estimating human error probabilities under different conditions are presented. Each method's background, underlying theory, advantages, and disadvantages will be covered. Typical human error probability values used in various industries will be provided. This class is offered in person and online.
Location: Century Boulevard Building (CBB) - 960
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AHEASS2
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Aviation Safety Management Systems ASMS 24-4
Wed, Apr 17, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
A Safety Management System (SMS) is now required for international commercial aircraft operators, airports, and air traffic services. The International Civil Aviation Organization (ICAO) established the standards and implementing procedures for SMS. All 191 countries that are members of ICAO have established or are establishing regulatory requirements for the implementation of SMS. This course teaches how organizations can establish an SMS within the context of their current safety system that meets the basic international standards of ICAO. The SMS Framework serves as a central foundation for this course.
SMS is a safety system by which an organization takes a more active role in identifying, analyzing, and mitigating safety issues that occur in the normal operation of their organization. SMS requires that organizational management take responsibility for the company’s safety program. The SMS approach requires the safety/quality team to be educated in their duties and responsibilities. This course will give you the essential skills to manage an organizational Safety Management System (SMS). The attendee will be able to manage a Safety Management System that includes risk management, audits, data collection, analysis, and incident investigations.
This course is designed for the individual planning or directing an aviation Safety Management System program. Fundamentals in systems organization and structure provide the individual with the skills and methodology to plan and manage an effective program. Emphasis is placed on understanding the principles of risk management, identifying program development strategies, audits, and applying the knowledge toward effective management systems and interoperability with Quality Assurance.Location: Online
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AASMS4
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Data for Safety Management DATA 24-2
Wed, Apr 17, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
The analysis of digital flight data collected from actual flights has resulted in tremendous steps forward in aviation safety. It is no longer necessary for an accident or incident to occur in order for safety hazards to be revealed. Flight Data Analysis provides critical safety information to identify trends, issues, and potentially dangerous practices. All modern commercial and business jet aircraft are equipped with flight data recorders that serve as the initial collection devices for flight data analysis. This course will present the basics of flight data analysis based on real-time flight information. It will present opportunities to analyze collective flight data as would be utilized by a commercial aircraft operator. The course will present animation software that depicts flight profiles and examines other sources of data, including video and air traffic control data, that may be used to create a data-based safety case.
Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24ADATA2
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Human Error Analysis for System Safety HEASS 24-2
Wed, Apr 17, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
System safety analysis of engineered systems must often deal with the possibility of human error leading to adverse conditions. Hence, human error probability evaluation is an important part of system safety. This course presents a summary of the methods and underlying theory for estimating human error probabilities. The course begins with a discussion on human factors and their influence on the possibility of human error. The various methods for estimating human error probabilities under different conditions are presented. Each method's background, underlying theory, advantages, and disadvantages will be covered. Typical human error probability values used in various industries will be provided. This class is offered in person and online.
Location: Century Boulevard Building (CBB) - 960
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AHEASS2
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Aviation Safety Management Systems ASMS 24-4
Thu, Apr 18, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
A Safety Management System (SMS) is now required for international commercial aircraft operators, airports, and air traffic services. The International Civil Aviation Organization (ICAO) established the standards and implementing procedures for SMS. All 191 countries that are members of ICAO have established or are establishing regulatory requirements for the implementation of SMS. This course teaches how organizations can establish an SMS within the context of their current safety system that meets the basic international standards of ICAO. The SMS Framework serves as a central foundation for this course.
SMS is a safety system by which an organization takes a more active role in identifying, analyzing, and mitigating safety issues that occur in the normal operation of their organization. SMS requires that organizational management take responsibility for the company’s safety program. The SMS approach requires the safety/quality team to be educated in their duties and responsibilities. This course will give you the essential skills to manage an organizational Safety Management System (SMS). The attendee will be able to manage a Safety Management System that includes risk management, audits, data collection, analysis, and incident investigations.
This course is designed for the individual planning or directing an aviation Safety Management System program. Fundamentals in systems organization and structure provide the individual with the skills and methodology to plan and manage an effective program. Emphasis is placed on understanding the principles of risk management, identifying program development strategies, audits, and applying the knowledge toward effective management systems and interoperability with Quality Assurance.Location: Online
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AASMS4
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Data for Safety Management DATA 24-2
Thu, Apr 18, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
The analysis of digital flight data collected from actual flights has resulted in tremendous steps forward in aviation safety. It is no longer necessary for an accident or incident to occur in order for safety hazards to be revealed. Flight Data Analysis provides critical safety information to identify trends, issues, and potentially dangerous practices. All modern commercial and business jet aircraft are equipped with flight data recorders that serve as the initial collection devices for flight data analysis. This course will present the basics of flight data analysis based on real-time flight information. It will present opportunities to analyze collective flight data as would be utilized by a commercial aircraft operator. The course will present animation software that depicts flight profiles and examines other sources of data, including video and air traffic control data, that may be used to create a data-based safety case.
Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24ADATA2
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Aviation Safety Management Systems ASMS 24-4
Fri, Apr 19, 2024 @ 08:00 AM - 12:00 PM
Aviation Safety and Security Program
University Calendar
A Safety Management System (SMS) is now required for international commercial aircraft operators, airports, and air traffic services. The International Civil Aviation Organization (ICAO) established the standards and implementing procedures for SMS. All 191 countries that are members of ICAO have established or are establishing regulatory requirements for the implementation of SMS. This course teaches how organizations can establish an SMS within the context of their current safety system that meets the basic international standards of ICAO. The SMS Framework serves as a central foundation for this course. SMS is a safety system by which an organization takes a more active role in identifying, analyzing, and mitigating safety issues that occur in the normal operation of their organization. SMS requires that organizational management take responsibility for the company’s safety program. The SMS approach requires the safety/quality team to be educated in their duties and responsibilities. This course will give you the essential skills to manage an organizational Safety Management System (SMS). The attendee will be able to manage a Safety Management System that includes risk management, audits, data collection, analysis, and incident investigations. This course is designed for the individual planning or directing an aviation Safety Management System program. Fundamentals in systems organization and structure provide the individual with the skills and methodology to plan and manage an effective program. Emphasis is placed on understanding the principles of risk management, identifying program development strategies, audits, and applying the knowledge toward effective management systems and interoperability with Quality Assurance.
Location: Online
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AASMS4
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Data for Safety Management DATA 24-2
Fri, Apr 19, 2024 @ 08:00 AM - 12:00 PM
Aviation Safety and Security Program
University Calendar
The analysis of digital flight data collected from actual flights has resulted in tremendous steps forward in aviation safety. It is no longer necessary for an accident or incident to occur in order for safety hazards to be revealed. Flight Data Analysis provides critical safety information to identify trends, issues, and potentially dangerous practices. All modern commercial and business jet aircraft are equipped with flight data recorders that serve as the initial collection devices for flight data analysis. This course will present the basics of flight data analysis based on real-time flight information. It will present opportunities to analyze collective flight data as would be utilized by a commercial aircraft operator. The course will present animation software that depicts flight profiles and examines other sources of data, including video and air traffic control data, that may be used to create a data-based safety case.
Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24ADATA2
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Incident Investigation/Analysis IIA 24-2
Mon, Apr 22, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
This course is designed for managers and supervisors who may be required to investigate, implement or review safety findings and recommendations resulting from aviation incidents. The course presents the principles of Management, Investigation and Analysis. It will explain how incidents are discovered, investigated, and reported in writing. The student will learn the techniques of data collection and analysis.
Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AIIA2
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Human Factors in Aviation Maintenance
Mon, Apr 22, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
This course is designed to provide knowledge and understanding of human factors in the realm of aviation safety with a focus on the role of the maintainer. It presents human factors issues as conditions/hazards that must be managed. Specific issues such as fatigue management, deviations from approved procedures, situation awareness, and the Dirty Dozen are presented. Data collection methodologies such as MEDA and LOSA are examined as viable safety information methods and hazard identification tools in an organization’s SMS. This course satisfies the Human Factors Course requirement for the USC Safety & Security Certificate.
Location: Century Boulevard Building (CBB) - 960
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AHFMX2
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PhD Thesis Proposal - Qinyuan Ye
Mon, Apr 22, 2024 @ 10:00 AM - 11:30 AM
Thomas Lord Department of Computer Science
University Calendar
Title: Cross-Task Generalization Abilities of Large Language Models
Committee Members: Xiang Ren (Chair), Robin Jia, Swabha Swayamdipta, Jesse Thomason, Morteza Dehghani
Date & Time: Monday, April 22, 10am-11:30am\
Location: SAL 213
Abstract: Humans can learn a new language task efficiently with only a few examples, by leveraging their knowledge and experience obtained when learning prior tasks. Enabling similar cross-task generalization abilities in NLP systems is fundamental for achieving the goal of general intelligence and enabling broader and more scalable adoption of language technology in future applications. In this thesis proposal, I will present my work on (1) benchmarking cross-task generalization abilities with diverse NLP tasks; (2) developing new model architecture for improving cross-task generalization abilities; (3) analyzing and predicting the generalization landscape of current state-of-the-art large language models. Additionally, I will outline future research directions, along with preliminary thoughts on addressing them.
Zoom Link: https://usc.zoom.us/j/93269270403?pwd=NVNmN085bm5SWXNnNGErcXczeVkxdz09Location: Henry Salvatori Computer Science Center (SAL) - 213
Audiences: Everyone Is Invited
Contact: Qinyuan Ye
Event Link: https://usc.zoom.us/j/93269270403?pwd=NVNmN085bm5SWXNnNGErcXczeVkxdz09
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Incident Investigation/Analysis IIA 24-2
Tue, Apr 23, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
This course is designed for managers and supervisors who may be required to investigate, implement or review safety findings and recommendations resulting from aviation incidents. The course presents the principles of Management, Investigation and Analysis. It will explain how incidents are discovered, investigated, and reported in writing. The student will learn the techniques of data collection and analysis.
Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AIIA2
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Human Factors in Aviation Maintenance
Tue, Apr 23, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
This course is designed to provide knowledge and understanding of human factors in the realm of aviation safety with a focus on the role of the maintainer. It presents human factors issues as conditions/hazards that must be managed. Specific issues such as fatigue management, deviations from approved procedures, situation awareness, and the Dirty Dozen are presented. Data collection methodologies such as MEDA and LOSA are examined as viable safety information methods and hazard identification tools in an organization’s SMS. This course satisfies the Human Factors Course requirement for the USC Safety & Security Certificate.
Location: Century Boulevard Building (CBB) - 960
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AHFMX2
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PhD Dissertation Defense - Arka Sadhu
Tue, Apr 23, 2024 @ 02:00 PM - 03:30 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Grounding Language in Images and Videos
Location: SAL 213
Time: 2 pm on April 23, 2024
Committee Members: Ram Nevatia (Chair), Xiang Ren, Toby Mintz
Abstract: My thesis investigates the problem of grounding language in images and videos -- the task of associating linguistic symbols to perceptual experiences and actions -- which is fundamental to developing multi-modal models that can understand and jointly reason over images, videos, and text. The overarching goal of my dissertation is to bridge the gap between language and vision as a means to a ``deeper understanding'' of images and videos to allow developing models capable of reasoning over longer-time horizons such as hour-long movies, or a collection of images, or even multiple videos. In this thesis, I will introduce the various vision-language tasks developed during my Ph.D. which include grounding unseen words, spatiotemporal localization of entities in a video, video question-answering, and visual semantic role labeling in videos, reasoning across more than one image or a video, and finally, weakly-supervised open-vocabulary object detection. For each of these tasks, I will further discuss the development of corresponding datasets, evaluation protocols, and model frameworks. These tasks aim to investigate a particular phenomenon inherent in image or video understanding in isolation, develop corresponding datasets and model frameworks, and outline evaluation protocols robust to data priors.
The resulting models can be used for other downstream tasks like obtaining common-sense knowledge graphs from instructional videos or drive end-user applications like Retrieval, Question Answering, and Captioning.
Zoom Link: https://usc.zoom.us/j/94652316277?pwd=QTdqcklJMjg2UE03ZVZHbmFvWU9nQT09Location: Henry Salvatori Computer Science Center (SAL) - 213
Audiences: Everyone Is Invited
Contact: Arka Sadhu
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PhD Thesis Defense - Pei Zhou
Wed, Apr 24, 2024 @ 02:00 AM - 04:00 PM
Thomas Lord Department of Computer Science
University Calendar
PhD Thesis Defense - Pei Zhou
Committee Members: Xiang Ren (Chair), Jay Pujara (Co-Chair), Toby Mintz, Jieyu Zhao
Title: Common Ground Reasoning for Communicative Agents
Abstract: Effective communication requires reasoning to reach mutual beliefs and knowledge among participants, a process called grounding. Large language model (LLM)-powered conversational AIs have displayed impressive capabilities, showing the potential of building AI agents that can interact with humans and the world smoothly. However, challenges remain unsolved for AI models to become capable communicative agents including understanding implicit intents and reaching goals. My PhD thesis outlines my research aiming to tackle these challenges by teaching models to reason to build common ground to become better communicators. Specifically, I focus on 1) enhancing conversational models with common sense knowledge; 2) modeling theory-of-mind capabilities to build goal-driven dialogue agents; and 3) eliciting metacognition by planning reasoning strategies for diverse scenarios. I will also discuss future directions including life-long self-learning with evolving common ground for personalization, interactive super-alignment to supervise models stronger than us, and measuring and improving safety to deploy agents in the wild.
Venue: RTH 306 and Zoom https://usc.zoom.us/j/2065614640
Date: 04/24/2024, 2-4PMLocation: Ronald Tutor Hall of Engineering (RTH) -
Audiences: Everyone Is Invited
Contact: CS Events
Event Link: https://usc.zoom.us/j/2065614640
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Incident Investigation/Analysis IIA 24-2
Wed, Apr 24, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
This course is designed for managers and supervisors who may be required to investigate, implement or review safety findings and recommendations resulting from aviation incidents. The course presents the principles of Management, Investigation and Analysis. It will explain how incidents are discovered, investigated, and reported in writing. The student will learn the techniques of data collection and analysis.
Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AIIA2
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Human Factors in Aviation Maintenance
Wed, Apr 24, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
This course is designed to provide knowledge and understanding of human factors in the realm of aviation safety with a focus on the role of the maintainer. It presents human factors issues as conditions/hazards that must be managed. Specific issues such as fatigue management, deviations from approved procedures, situation awareness, and the Dirty Dozen are presented. Data collection methodologies such as MEDA and LOSA are examined as viable safety information methods and hazard identification tools in an organization’s SMS. This course satisfies the Human Factors Course requirement for the USC Safety & Security Certificate.
Location: Century Boulevard Building (CBB) - 960
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AHFMX2
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Incident Investigation/Analysis IIA 24-2
Thu, Apr 25, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
This course is designed for managers and supervisors who may be required to investigate, implement or review safety findings and recommendations resulting from aviation incidents. The course presents the principles of Management, Investigation and Analysis. It will explain how incidents are discovered, investigated, and reported in writing. The student will learn the techniques of data collection and analysis.
Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AIIA2
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Human Factors in Aviation Maintenance
Thu, Apr 25, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
This course is designed to provide knowledge and understanding of human factors in the realm of aviation safety with a focus on the role of the maintainer. It presents human factors issues as conditions/hazards that must be managed. Specific issues such as fatigue management, deviations from approved procedures, situation awareness, and the Dirty Dozen are presented. Data collection methodologies such as MEDA and LOSA are examined as viable safety information methods and hazard identification tools in an organization’s SMS. This course satisfies the Human Factors Course requirement for the USC Safety & Security Certificate.
Location: Century Boulevard Building (CBB) - 960
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AHFMX2
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PhD Thesis Proposal - Navid Hashemi
Thu, Apr 25, 2024 @ 10:30 AM - 12:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Verification and Synthesis of Controllers for Temporal Logic Objectives Using Neuro-Symbolic Methods
Committee Members: Jyotirmoy Deshmukh (Chair), Guarav Sukhatme, Chao Wang, Pierlggi Nuzzo, Lars Lindemann, Georgios Fainekos (External Member)
Date & Time: Thursday, April 25th, 10:30am - 12:00pm
Abstract: As the field of autonomy is embracing the use of neural networks for perception and control, Signal Temporal Logic (STL) has emerged as a popular formalism for specifying the task objectives and safety properties of such autonomous cyber-physical systems (ACPS). There are two important open problems in this research area: (1) how can we effectively train neural controllers in such ACPS applications, when the state dimensionality is high and when the task objectives are specified over long time horizons, and (2) how can we verify if the closed-loop system with a given neural controller satisfies given STL objectives. We review completed work in which we show how discrete-time STL (DT-STL) specifications lend themselves to a smooth neuro-symbolic encoding that enables the use of gradient-based methods for control design. We also show how a type of neuro-symbolic encoding of DT-STL specifications can be combined with neural network verification tools to provide deterministic guarantees. We also review how neural network encoding of the environment dynamics can help us combine statistical verification techniques with formal techniques for reachability analysis. We will then propose several directions that we will pursue in the future: (1) We will investigate if our neuro-symbolic encoding approach can extend to other temporal logics, especially those used for specifying properties of perception algorithms (such as Spatio-Temporal Perception Logic or STPL). Our idea is to use a neuro-symbolic encoding of STPL to improve the quality of outputs produced by perception algorithms. (2) We will investigate how control policies generated by our existing algorithms can be made robust to distribution shifts through online and offline techniques. (3) Finally, we will propose scaling our synthesis approaches to higher-dimensional observation spaces and longer horzon tasks. We conclude with the timeline to finish proposed work and write the dissertation.Location: Ronald Tutor Hall of Engineering (RTH) - 306
Audiences: Everyone Is Invited
Contact: Felante' Charlemagne
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Phd Dissertation Defence - Haidong Zhu
Thu, Apr 25, 2024 @ 12:00 PM - 02:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Shape-Assisted Multimodal Person Re-Identification
Committee Members: Ram Nevatia (Chair), Ulrich Neumann, Antonio Ortega
Date & Time: Thursday, April 25th, 12:00pm - 2:00pm
Abstract: Recognizing an individual's identity across non-overlapping images or videos, known as person re-identification, is a fundamental yet challenging task for biometric analysis. This task involves extracting and distinguishing unique features such as appearance, gait, and body shape to accurately identify individuals. Different from other representations, 3-D shape complements the body information with external human body shape prior and enhances the appearance captured in the 2-D images. Although 3-D body shape offers invaluable external shape-related information that 2-D images lack, existing body shape representations often fall short in accuracy or demand extensive image data, which is unavailable for re-identification tasks. We explore various biometric representations for comprehensive whole-body person re-identification, with a particular emphasis on leveraging 3-D body shape. We focus on enhancing the detail and few-shot learning capabilities of 3-D shape representations through the application of implicit functions and generalizable Neural Radiance Fields (NeRF). Moreover, we propose the use of 3-D body shape for alignment and supervision during training, aiming to advance the accuracy and efficiency of person re-identification techniques.Location: Hughes Aircraft Electrical Engineering Center (EEB) - 110
Audiences: Everyone Is Invited
Contact: Haidong Zhu
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PhD Dissertation Defense - Zhaoheng Zheng
Thu, Apr 25, 2024 @ 02:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Incorporating Large-Scale Vision-Language Corpora in Visual Understanding
Committee Members: Ram Nevatia (Chair), Mohammad Soleymani, Keith Jenkins
Date and Time: Thursday, April 25th, 2:00pm - 4:00pm
Abstract: As key mediators of human perception, vision and language corpora act as critical roles in the development of modern Artificial Intelligence (AI). The size of vision-language corpora has scaled up rapidly in recent years, from thousands to billions, enabling the creation of large foundation models. However, as an emerging concept, there are a series of problems yet to be explored.
We start with a study of compositional learning from pre-VLM times to the post-VLM era. We introduce a representation blending approach that creates robust features for compositional image classification and a two-stream architecture that tackles the entanglement in the feature space of the object-attribute detection problem with novel object-attribute pairs. We further design an adaptation approach to leverage CLIP encoders for compositional image classification.
The second part covers a variety of methods built with multimodal transformer models. For image retrieval, we propose a framework that assembles multimodal inputs into sequences with which a multimodal transformer encoder can be fine-tuned. The pre-training of vision-language models (VLMs) is also explored. Specifically, we introduce a fractional intermediate tower that improves the feature expressibility of dual-tower vision-language models. We further design a unified pipeline that allows a VLM to learn from not only vision-language corpora but unimodal visual and linguistic data.
Lastly, we study how to leverage the knowledge of Large Language Models (LLMs) for low-shot image classification, in a data- and computation-efficient way.
Zoom Link: https://usc.zoom.us/j/96814169370?pwd=NkhSYWFKNCsya0lyaUFBVlVDQkI3Zz09Location: Hughes Aircraft Electrical Engineering Center (EEB) - 110
Audiences: Everyone Is Invited
Contact: Zhaoheng Zheng
Event Link: https://usc.zoom.us/j/96814169370?pwd=NkhSYWFKNCsya0lyaUFBVlVDQkI3Zz09
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Incident Investigation/Analysis IIA 24-2
Fri, Apr 26, 2024 @ 08:00 AM - 12:00 PM
Aviation Safety and Security Program
University Calendar
This course is designed for managers and supervisors who may be required to investigate, implement or review safety findings and recommendations resulting from aviation incidents. The course presents the principles of Management, Investigation and Analysis. It will explain how incidents are discovered, investigated, and reported in writing. The student will learn the techniques of data collection and analysis.
Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AIIA2
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Human Factors in Aviation Maintenance
Fri, Apr 26, 2024 @ 08:00 AM - 12:00 PM
Aviation Safety and Security Program
University Calendar
This course is designed to provide knowledge and understanding of human factors in the realm of aviation safety with a focus on the role of the maintainer. It presents human factors issues as conditions/hazards that must be managed. Specific issues such as fatigue management, deviations from approved procedures, situation awareness, and the Dirty Dozen are presented. Data collection methodologies such as MEDA and LOSA are examined as viable safety information methods and hazard identification tools in an organization’s SMS. This course satisfies the Human Factors Course requirement for the USC Safety & Security Certificate.
Location: Century Boulevard Building (CBB) - 960
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AHFMX2
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Aircraft Accident Investigation AAI 24-4
Mon, Apr 29, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
The course is designed for individuals who have limited investigation experience. All aspects of the investigation process are addressed, starting with preparation for the investigation through writing the final report. It covers National Transportation Safety Board and International Civil Aviation Organization (ICAO) procedures. Investigative techniques are examined with an emphasis on fixed-wing investigation. Data collection, wreckage reconstruction, and cause analysis are discussed in the classroom and applied in the lab.
The USC Aircraft Accident Investigation lab serves as the location for practical exercises. Thirteen aircraft wreckages form the basis of these investigative exercises. The crash laboratory gives the student an opportunity to learn the observation and documentation skills required of accident investigators. The wreckage is examined and reviewed with investigators who have extensive actual real-world investigation experience. Examination techniques and methods are demonstrated along with participative group discussions of actual wreckage examination, reviews of witness interview information, and investigation group personal dynamics discussions.Location: WESTMINSTER AVENUE BUILDING (WAB) - Unit E
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AAAI4
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Safety Management for Aviation Maintenance MAINT 24-2
Mon, Apr 29, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
This course provides supervisors with aviation safety principles and practices needed to manage the problems associated with aircraft maintenance operations. In addition, it prepares attendees to assume safety responsibilities in their areas of operation. It does not teach aircraft maintenance and assumes the attendee has a maintenance background.
Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AMAINT2
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PhD Dissertation Defense - Mengxiao Zhang
Mon, Apr 29, 2024 @ 01:30 PM - 03:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Robust and Adaptive Algorithm Design in Online Learning: Regularization, Exploration, and Aggregation
Abstract: In recent years, online learning is becoming a central component in Artificial Intelligence and has been widely applied in many real applications. In this thesis, we focus on designing algorithms for online learning with the two characteristics: robustness and adaptivity. Motivated by the existence of unpredictable corruptions and noises in real-world applications such as E-commerce recommendation systems, robustness is a desired property. It means that the designed algorithm is guaranteed to perform well even in adversarial environments. In contrast, adaptivity complements robustness by enhancing performance in benign environments.In order to achieve robustness and adaptivity, we utilize the following three methodologies, namely regularization, exploration, and aggregation. Regularization method has been widely used in the field of machine learning to control the dynamic of the decisions, which is especially important when facing a possibly adversarial environment. In online learning problems, very often the learner can only observe partial information of the environment, making an appropriate exploration method crucial. Aggregation, a natural idea to achieve adaptivity, combines multiple algorithms that work well in different environments. Though intuitive, this requires non-trivial algorithm design for different online learning problems.In this thesis, we design algorithms for a wide range of online learning problems. We first consider the problem of multi-armed bandits with feedback graphs. Then, we consider more complex problems including linear bandits and convex bandits, which involve an infinite number of actions. We hope that the techniques and algorithms developed in this thesis can help improve the current online learning algorithms for real-world applications. Committee Members:Haipeng Luo (Chair), Vatsal Sharan, Renyuan XuLocation: Ronald Tutor Hall of Engineering (RTH) - 114
Audiences: Everyone Is Invited
Contact: Ellecia Williams
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Aircraft Accident Investigation AAI 24-4
Tue, Apr 30, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
The course is designed for individuals who have limited investigation experience. All aspects of the investigation process are addressed, starting with preparation for the investigation through writing the final report. It covers National Transportation Safety Board and International Civil Aviation Organization (ICAO) procedures. Investigative techniques are examined with an emphasis on fixed-wing investigation. Data collection, wreckage reconstruction, and cause analysis are discussed in the classroom and applied in the lab.
The USC Aircraft Accident Investigation lab serves as the location for practical exercises. Thirteen aircraft wreckages form the basis of these investigative exercises. The crash laboratory gives the student an opportunity to learn the observation and documentation skills required of accident investigators. The wreckage is examined and reviewed with investigators who have extensive actual real-world investigation experience. Examination techniques and methods are demonstrated along with participative group discussions of actual wreckage examination, reviews of witness interview information, and investigation group personal dynamics discussions.Location: WESTMINSTER AVENUE BUILDING (WAB) - Unit E
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AAAI4
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Safety Management for Aviation Maintenance MAINT 24-2
Tue, Apr 30, 2024 @ 08:00 AM - 04:00 PM
Aviation Safety and Security Program
University Calendar
This course provides supervisors with aviation safety principles and practices needed to manage the problems associated with aircraft maintenance operations. In addition, it prepares attendees to assume safety responsibilities in their areas of operation. It does not teach aircraft maintenance and assumes the attendee has a maintenance background.
Location: Century Boulevard Building (CBB) - 920
Audiences: Everyone Is Invited
Contact: Daniel Scalese
Event Link: https://avsafe.usc.edu/wconnect/CourseStatus.awp?&course=24AMAINT2
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PhD Dissertation Defense - Alan Romano
Tue, Apr 30, 2024 @ 09:30 AM - 11:30 AM
Thomas Lord Department of Computer Science
University Calendar
Title: Static Program Analyses for WebAssembly
Committee Members: Weihang Wang (Chair), Chao Wang, and Pierluigi Nuzzo
Date/Time: Tuesday, April 30th, 9:30am - 11:30am
Abstract: WebAssembly is a recent standard for the web that aims to enable high-performance web applications that can run at near-native speeds. The standard has gained attention in both academia and industry for its ability to speed up existing user-facing web applications. Due to its well-defined and sound design, many static program analysis techniques have been developed to accomplish various purposes of WebAssembly analysis. However, we identify gaps in the static program analysis tools of the current WebAssembly ecosystem. We find that current program optimizations applied on WebAssembly modules may lead to diminished performance. We also identify a lack of tools that help developers understand WebAssembly modules through robust binary decompilation. Finally, we find a gap in the ability to analyze cross-language WebAssembly applications across the two languages they are typically implemented in, i.e., WebAssembly and JavaScript.
In this thesis, we present a novel WebAssembly Analysis Framework, or WAF . WAF is a static program analysis framework for WebAssembly modules that consists of multiple intermediate representations. Inspired by frameworks made for Java, the core of our framework lies in our three intermediate representations that each model the WebAssembly module at a different semantic level. This structure enables WAF to serve in multiple use cases, including program optimizations, binary decompilation, cross-language program analysis, and malware detection. We aim to show that our framework can improve static program analysis in the areas that the WebAssembly ecosystem is lacking.Location: Henry Salvatori Computer Science Center (SAL) - 322
Audiences: Everyone Is Invited
Contact: Alan Romano
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PhD Thesis Proposal - Tian Ye
Tue, Apr 30, 2024 @ 03:00 PM - 04:00 PM
Thomas Lord Department of Computer Science
University Calendar
Title: Enhancing Adversarial Training in Low-Label Regimes
Committee Members: Viktor Prasanna (Chair), Paul Bogdan, Jyotirmoy Deshmukh, Rajgopal Kannan, Cauligi Raghavendra
Data & Time: April 30, 3:00 PM - 4:00 PM Location: EEB 219
Abstract: As machine learning models are increasingly deployed in critical real-world applications, ensuring their robustness against adversarial attacks is essential to prevent potentially severe consequences. Adversarial training, which involves teaching models to recognize and resist adversarial perturbations, is a key strategy for building such robustness. This thesis explores the enhancement of adversarial robustness in scenarios characterized by low-label regimes, where extensive labeled training data are not accessible, by addressing several challenges in existing semi-supervised adversarial training methods. Specifically, the proposed research focuses on: (1) optimizing the generation of adversarial samples to reduce the risk of overfitting, (2) enhancing the reliability of pseudo-labels to mitigate confirmation bias, and (3) simplifying the optimization of training processes to enhance accessibility and efficiency. These improvements will contribute to strengthening the security and functionality of machine learning applications against adversarial threats in a broader range of applications.Location: Hughes Aircraft Electrical Engineering Center (EEB) - 219
Audiences: Everyone Is Invited
Contact: Ellecia Williams
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PhD Thesis Proposal - Nan Xu
Tue, Apr 30, 2024 @ 04:30 PM - 06:30 PM
Thomas Lord Department of Computer Science
University Calendar
Committee Members: Xuezhe Ma (chair), Muhao Chen, Jonathan May, Ram Nevatia, Daniel O’Leary
Title: Decoding Recipes for Coherent and Factual Text Generation
Abstract: While Large language models (LLMs) have demonstrated increasing power in generating texts, they have also called upon studies on their degeneration problems such as repetition, incoherence, hallucination, etc. My PhD thesis outlines my research aiming to tackle these challenges from the perspective of decoding, which is train-free and driven by models' own understanding of seen and generated texts. Specifically, I focus on 1) reducing undesired repetitions and off-topic generations by analyzing probability distribution of decoding steps for open-ended text generation and 2) mitigating hallucinations by studying models' uncertainty against user prompts for false-premise question answering. Motivated by the emergent ability of Large Vision Language Models (LVLMs) to perceive and understand visual signals, I will also introduce my proposal to mitigate hallucinations with effective decoding strategies given multimodal inputs.
Venue: RTH 306 and Zoom https://usc.zoom.us/j/97468606369?pwd=a2ovTlYweE1neGpTMHFtUlNrcVVnQT09
Date: 04/30/2024, 4:30-6:30PMLocation: Ronald Tutor Hall of Engineering (RTH) - 306
Audiences: Everyone Is Invited
Contact: Ellecia Williams
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