Artificial Intelligence

Course Category: Artificial Intelligence

Assurance of AI Enabled Systems
with Pedro Rodriguez
0 Lessonsin Artificial Intelligence
- Duration: 3-Day Course
- Artificial Intelligence
- Virtual Live
- Assurance of AI Enabled Systems - FY24 - c.2023.09. - $2,028.00
This workshop introduces state-of-the-art methods for developing testing and evaluation plans for AI-driven systems and addresses novel challenges these systems present.
Leading Data and AI-Enabled Organizations: For Executive Leaders (US Government)
with Chris Ratto
0 Lessonsin Artificial Intelligence
- Duration: 3-Day Course
- Artificial Intelligence
- In Person
- AI: What Senior Leaders Need to Know (US Government) - Spring 2023 - $5,130.00
This course provides executive government leaders with the tools to harness artificial intelligence (AI) for the benefit of their organizations using a holistic perspective on AI technology integration.
Leading Data and AI-Enabled Organizations: For Senior Leaders (US Government)
with Chris Ratto
0 Lessonsin Artificial Intelligence
- Duration: 3-Day Course
- Artificial Intelligence
- In Person
- AI: What Senior Leaders Need to Know (US Government) - Spring 2023 - $5,130.00
This course aims to provide senior government leaders with a comprehensive approach to adopting AI technology. It will allow leaders with a framework to unpack the question, "How do we turn our organization's AI strategy into action?" While not a prerequisite, it is beneficial if the organization's executive leader has established an AI strategy having completed the workshop Leading Data and AI-Enabled Organizations: For Executive Leaders (US Government).
AI for Executives
with Jane Pinelis
0 Lessonsin Artificial Intelligence
- Duration: 3-Day Course
- Artificial Intelligence
- Virtual Live
- AI for Executives - FY24 - c.2023.09. - $2,340.00
This course aims to provide industry leaders with an over-arching introduction to AI and introduces key technical concepts, AI safety and ethics, and best business and management practices for AI specific projects.

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.

Dave Barsic

Instructor

Dave Barsic is an Assistant Program Manager in the Force Projection Sector at JHU/APL. He is a member of the JHU/APL Principal Professional Staff and has 19 years of experience focusing on machine learning and signal processing applications for various U.S. Navy efforts.

Steven Biemer

Steve Biemer

Systems Engineering Program Instructor

Steve Biemer is a systems engineer for the Johns Hopkins University Applied Physics Laboratory. He works with both the Department of Defense and the Department of Homeland Security defining and conducting analytical end-engineering assessments of systems, platforms, architectures, and networks.

Dr. John Callahan

John Callahan

Chief Technology Officer

Dr. John Callahan is Chief Technology Officer (CTO) at VeridiumID.com, a leading biometric authentication company. He recently served as the Associate Director for Information Dominance at the U.S. Navy’s Office of Naval Research Global (ONRG) London office.

James Caroland

James Caroland

Captain

James Caroland is an active-duty Navy Captain in the Cyber Warfare Engineer community. He is currently the Chair of the Cyber Science Department at the U.S. Naval Academy.

Anton T. Dahbura

Instructor

Anton 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.

Michael DiRossi

Michael DiRossi

Principal Research Engineer

Mike DiRossi is a Principal Research Engineer at the Johns Hopkins University Applied Physics Laboratory, where he provides leadership, strategic vision, and technical oversight over a portfolio of cybersecurity research projects.

Ashutosh Dutta

Ashutosh Dutta

Senior Scientist and Chair for Electrical and Computer Engineering for Engineering Professional Program

Ashutosh Dutta is currently a senior scientist and 5G chief strategist at Johns Hopkins University Applied Physics Labs (JHU/APL). He also serves as chair for Electrical and Computer Engineering for Engineering Professional Program at JHU.

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.

Will Gray-Roncal

Principal Research Scientist

Will Gray-Roncal is a Principal Research Scientist at the Johns Hopkins University Applied Physics Laboratory, with expertise in data science, neuroscience, artificial intelligence, precision medicine, and learning research, including leadership of the CIRCUIT Program.

Joseph Greenstein

Lecturer

Dr. Joseph Greenstein is a lecturer in the Department of Biomedical Engineering. He teaches courses that cover topics in precision medicine, biomedical data sciences, and computational physiology and medicine.

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.

David Handelman

Instructor

David Handelman is a Senior Roboticist at the Johns Hopkins University Applied Physics Laboratory. He is a member of the Robotics Group in the Research and Exploratory Development Department. His current research focus is adaptive human-robot teaming based on the emulation of human skill acquisition by robots using neuro-symbolic AI/ML.

Chad Hawthorne

Instructor

Chad Hawthorne is a principal investigator and autonomy researcher at JHU/APL and has 20 years of experience developing autonomy software for unmanned maritime systems. At APL, he oversees a research team that focuses on delivering autonomy and sensing solutions for our nation’s submarine and unmanned platforms.

Scott Hendrickson

Scott Hendrickson

Experimental Optical Scientist

Dr. Scott Hendrickson leads a physics group in the Research and Exploratory Development Department at the Johns Hopkins University Applied Physics Laboratory (JHU/APL). This group focuses on a range of topics including quantum information, electromagnetics, and biomedical imaging. He currently helps lead projects focused on quantum information hardware development in partnership with the government and…

Jenny Kelley

Jenny Kelley

Chief Scientist

Jenny Kelley serves as the Chief Scientist of the Cyber Warfare Systems Group within the Asymmetric Operations Sector at the Johns Hopkins University Applied Physics Laboratory.

Matthew Montoya

Instructor

Dr. 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.

Bart Paulhamus

Course Director

Bart Paulhamus is the chief of the Intelligent Systems Center at Johns Hopkins University’s Applied Physics Laboratory.

A white millennial man with glasses in a suit and tie posing for a classic portrait with a smile on his face.

Chris Ratto

Instructor

Dr. Christopher Ratto is a member of the Senior Professional Staff at The Johns Hopkins University Applied Physics Laboratory.

Jane Pinelis

Chief of the Test, Evaluation, and Assessment

Dr. Jane Pinelis is the Chief of the Test, Evaluation, and Assessment branch at the Department of Defense Joint Artificial Intelligence Center (JAIC). She leads a diverse team of testers and analysts in rigorous test and evaluation (T&E) for JAIC capabilities, as well as development of T&E-specific products and standards that will support testing of…

Dr. Gregory Quiroz

Gregory Quiroz

Project Manager and Visiting Scientist

Dr. Gregory Quiroz is a project manager in the Research and Exploratory Development Department at the Johns Hopkins University Applied Physics Laboratory (JHU/APL).

Alan Ravitz

Instructor

Alan D. Ravitz is chief engineer in JHU/APL’s National Health Mission 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).

Professor Sri Sarma

Sri Sarma

Associate Professor

Dr. Sri Sarma is an Associate Professor in the Institute for Computational Medicine, Department of Biomedical Engineering, at Johns Hopkins University.

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.

John Slotwinski

Senior National Security Analyst and Project Leader

Dr. John A. Slotwinski is a Senior National Security Analyst and Project Leader in The Applied Physics Laboratory’s (APL) National Security Analysis Department, where he leads and performs studies on national security topics for the U.S. Government.

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.

Tony Wei

PhD Candidate

Tony Wei is a third year Ph.D. candidate in Biomedical Engineering at Johns Hopkins University in Dr. Sridevi Sarma’s Neuromedical Control Systems Lab.

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.

Kaliya Young

Kaliya Young

Instructor

Kaliya Young co-founded the Internet Identity Workshop in 2005 to bring together technologists who want to see decentralized identity come into being. This community is credited with creating internet standards such as OpenID Connect and OAuth and an initiation ground for collaborations that have led to multi-million-dollar projects. In 2010 she was recognized as a…

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.

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.