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Artificial Intelligence Course: Assured AI & Autonomy

$2,400.00

This artificial intelligence course introduces state-of-the-art methods for developing testing and evaluation plans for AI-driven systems and addresses novel challenges these systems present.

Description

In this artificial intelligence course, test and evaluation experts from Johns Hopkins will share how cutting-edge test and evaluation plans are developed for AI-driven autonomous systems. Participants also will engage in a variety of interactive in-class exercises to get hands-on experience applying the latest in AI-based autonomous systems test and evaluation.

Complex systems driven in whole or in part by artificial intelligence (AI) are fast becoming ubiquitous, across a broad range of applications. These systems operate in extremely complex environments with overwhelmingly large combinations of inputs and variables. Engineers must test and evaluate the systems to ensure they are achieving the desired level of assurance, safety, and trustworthiness.

 

Instructors

Larry Aronhime
Instructor
Lawrence Aronhime is an Associate Teaching Professor in the Center for Leadership Education (CLE) in the Whiting School of Engineering at Johns Hopkins University.
Andrew Ball
Instructor
Andy Ball is the human and complex systems design strategist in JHU/ APL’s Design Thinking Group, where he leads cross-functional teams in the delivery of amazing solutions in the service of national security and space exploration.
Alexis Basantis
Instructor
Alexis Basantis is a human-centered design strategist at JHU/APL. In her role, she utilizes human factors engineering and user-centered design principles to better integrate the human perspective into the design and development of complex technical landscapes.
Rick Blank
Instructor
Rick Blank is the program manager and has been an instructor in Johns Hopkins Engineering’s Engineering for Professionals (EP) MS program in Engineering Management since 2009.
Alexander Cocron
Instructor
Alexander Cocron is a Lecturer at Johns Hopkins University's Whiting School of Engineering where he co-created the Hopkins Method of innovation, a novel approach to the innovation process focusing on problem discovery at different horizons of opportunity and uncertainty.
Anton T. Dahbura
Instructor
Anton (Tony) Dahbura is the co-director of Johns Hopkins University’s Institute for Assured Autonomy and executive director of the Johns Hopkins University Information Security Institute.
Frank Fratrik
Instructor
Frank Fratrik is the senior director of safety solutions at Edge Case Research, where he manages a group of system safety engineers who provide system safety management and engineering expertise across a diverse customer base of developer, users, and assessors.
John Gersh
Instructor
John Gersh is a principal cognitive engineer in JHU/APL’s Intelligent Systems Branch, where he focuses on human-machine teaming.
Ariel Greenberg
Instructor
Ariel M. Greenberg is a senior staff scientist and project manager at JHU/ APL, whose research interests include psychophysiology, behavioral modeling and simulation, and machine ethics.
Erin Hahn
Instructor
Erin Hahn is a senior national security analyst and principal professional staff member in JHU/APL’s National Security Analysis Mission Area, where she supervises a group of analysts working on broad issues related to technology development and implementation.
Chad Hawthorne
Instructor
Chad Hawthorne is a principal investigator and autonomy researcher at JHU/APL and has 20 years’ experience developing autonomy software for unmanned maritime systems.
Kevin Ligozio
Instructor
Kevin Ligozio serves as the technical director and assistant group supervisor of the Tactical Intelligence Systems Group within the Asymmetric Operations Sector at the Johns Hopkins University Applied Physics Laboratory.
Matthew Montoya
Instructor
Matthew (Matt) Montoya is an advisor, instructor, professor, academic program director, and researcher at Johns Hopkins Engineering for Professionals Systems Engineering, Healthcare Systems Engineering, and Lifelong Learning programs.
Joshua Mueller
Instructor
Josh Mueller is deputy lead engineer for hypersonic kill chains at JHU/ APL, where previously he led the Operational Concepts and Integration Section, a team of analysts focused on meso-scale complex socio-technical systems analysis.
Robert Murray
Instructor
Robert Murray was appointed by NATO’s Secretary General as the Head of NATO’s Innovation Unit in December 2019.
Barton Paulhamus
Instructor
Bart Paulhamus is the chief of the Intelligent Systems Center at Johns Hopkins University’s Applied Physics Laboratory.
Alyson Phillips
Instructor
Alyson (Aly) Phillips is the chief of staff for the Network Specialty Care Team at ChenMed, a value-based primary care and specialty care provider that delivers high-touch, affordable VIP health care to seniors with Medicare Advantage.
John Piorkowski
Instructor
John Piorkowski serves as the Chief AI Architect and supervisor of the Applied Information Sciences Branch within the Asymmetric Operations Sector at the Johns Hopkins University/Applied Physics Laboratory. 
Alan Ravitz
Instructor
Alan D. Ravitz is chief engineer in JHU/APL’s National Health Missing Area and is chair of the Whiting School of Engineering’s Engineering for Professionals MS program in Healthcare Systems Engineering.
Lynn Reggia
Instructor
Lynn Reggia is the supervisor of the Human Machine Engineering Group within JHU/APL’s Air and Missile Defense Sector.
Sarah Rigsbee
Instructor
Sarah Rigsbee is a senior human-centered design and innovation strategist and senior professional staff member at JHU/APL and is the lead human-centered design strategist for JHU’s Institute for Assured Autonomy (IAA).
Pedro Rodriguez
Instructor
Pedro A. Rodriguez is the principal technical leader of multiple deep learning projects at JHU/APL, where currently he focuses on developing and deploying deep learning algorithms at the tactical edge for the U.S. Army and the Joint AI Center (JAIC).
Lia Scarince
Instructor
Lia Scarince leads program strategy and project execution initiatives within the National Health Mission Area at JHU/APL, where she leverages 20 years’ experience at the front lines of public, private, and military health systems.
Aurora Schmidt
Instructor
Aurora C. Schmidt is a project manager in JHU/APL’s Research and Exploratory Development Mission Area, and her research interests include sensor networks, estimation and coordination problems, signal processing, compressed sensing, optimization, multi-target tracking, control theory, and information and decision-making.
Christina Selby
Instructor
Christina Selby is a senior professional staff member and section supervisor at JHU/APL, with expertise in developing and analyzing mathematical methodologies to solve critical problems that are not well understood.
Tamim Sookoor
Instructor
Tamim Sookoor is a researcher at JHU/APL, where his research interests include cyber physical systems (CPS), cyber security, the Internet of Things (IoT), and machine learning.
Adam Watkins
Instructor
Adam Watkins is a principal staff member of JHU/APL with over 15 years’ experience in autonomy and robotics.
Dan Yaroslaski
Instructor
Dan Yaroslaski is a senior professional staff member in the Tactical Intelligence Systems group within the Asymmetrical Operations Sector at Johns Hopkins Applied Physics Laboratory.
Reed Young
Instructor
Reed Young is a member of the senior professional staff in the Research and Exploratory Development Mission Area at JHU/APL, where he serves as the program manager for Robotics and Autonomy.