Courses offered in FY25

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This is the 1st event of our sequence in FY25.

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This is the 4th event of our sequence in FY25.

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This is the 5th event of our sequence in FY25.

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This is the 6th event of our sequence in FY25.

Courses offered in FY24

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This is the 1st event of our sequence in FY24.

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This is the 3rd event of our sequence in FY24.


This is the 4th event of our sequence in FY24.


This is the 5th event of our sequence in FY24.


This is the last event of our sequence in FY24.

Leading Data and AI-Enabled Organizations 


The goal of this Joint executive course is for General Officers and Flag Officers (GOFO), other senior leaders in the DOD and senior SES level civilian employees to get a comprehensive, executive-level exposure to matters concerning Artificial Intelligence (AI) and Machine Learning (ML).
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 Prof. Mathias Kolsch 


Department of Comp Science
Naval Postgraduate School

Principal Investigator
 

Dr. Mathias Kölsch is an Associate Professor of Computer Science
at the Naval Postgraduate School
in Monterey, California. His
research focuses on artificial intelligence (AI) and Machine Learning (ML), in particular computer vision,
data science, and augmented
reality.

He has consistently strived to develop and apply computer capabilities to improve human lives, be it through human-computer interaction with automated hand gesture recognition, automated filtering of media for
intel purposes, or AI/ML-based prescriptive analytics for healthcare applications. 

He is deeply motivated to improve the DOD’s posture on AI/ML: To adopt and leverage technological advances and process improvements that are propelling companies to unprecedented power and influence. He has been working with the
CDAO to educate the DOD workforce on AI/ML. 

LinkedIn profile: 
https://www.linkedin.com/in/mathias-k%C3%B6lsch-1035b6/

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Prof. Ralucca Gera 


 Applied Math Dept
Naval Postgraduate School

Learning Experiences Lead
 

A forward thinker, Prof. Ralucca Gera is a leader in the classroom and research, with an education strategy focused on quality, effectiveness, and incorporation of innovative  T&L techniques. She supports personalized education through intentional learning strategies that emphasize excellence & exploration in a HyFlex environment - be it face to face  or online. She empowers learners by cultivating curiosity and inquiry, inspiring them to take ownership of their learning.  Moreover, her exemplary leadership skills have been particularly vital during the pandemic, as she spearheaded the successful transition to remote teaching and learning during the pandemic, and the Distance Learning Quality Initiate (DLQi) that developed teaching resources and educational experiences  emphasizing  course quality and cohesive learning experiences.  She leads research projects such as  CHUNKlearningClassroom of the Future with the output of Flexible Spaces and Campus of the Future, with recent focus on AI-based learning approaches, by leading the Future of Learning project with Microsoft under the MSFT-NPS CRADA, and she is the Educational Lead for ASPIRE.

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CDR Paolo Singh


Applied Math Dept
Naval Postgraduate School

Lead Discussion Facilitator 


Commander Paolo Singh is a Ph.D. Student with the Applied Mathematics Department at the Naval Postgraduate School.  His research interests are focused on Network Science applications toward Machine Learning algorithms for improving individualized, adaptive learning in both training and education.  Following his program completion,  he intends to join the NPS Operations Research faculty for continued research and teaching future cadres of NPS warrior scholars. 

Prior to his arrival in Monterey, Singh spent most of his career flying F/A-18C-F Hornet and Super Hornet aircraft.  He also served with the Joint Staff developing strategy to counter terrorist messaging and recruiting campaigns, which began his interest in Network Science studies.
 
Singh graduated from the United States Naval Academy in 2003 with a Bachelor’s degree in Mathematics, and from Johns Hopkins University in 2022 with a Master’s degree in Applied and Computational Mathematics.  Additionally, he is a 2010 graduate of the Navy Fighter Weapons School (TOPGUN), which emphasizes excellence in teaching and learning for the fleet operator.

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Matthew Sanchez

Department of Compute ScienceNaval Postgraduate School

Mathew leads the symposium organization. Please contact him at matthew.sanchez@nps.edu if you have specific questions about the symposium organization.
 

Matthew's research centers on data science and analytics, with an emphasis on the defense applications of artificial intelligence (AI) and machine learning (ML). Matthew leads the Leading Data and AI-Enabled Organizations' Symposium.

Prior to joining the Naval Postgraduate School, Matthew Sanchez gained valuable experience in the private sector as a Data Analyst and completed an internship at the Monterey Bay Aquarium Research Institute (MBARI).Matthew graduated from California State University, Monterey Bay in 2024 with a Bachelor’s degree in Computer Science, specializing in Data Science and Machine Learning. At NPS, he contributes to various campus efforts, including supporting research efforts for the Computer Science Hackathon


Brittany Ramsey 

Department of Compute Science
Naval Postgraduate School

Brittany helps with the symposium organization




 
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