AI4IA : Artificial Intelligence for Intelligence Analysis

Introduction

The IC CAE Colloquium Series on Artificial Intelligence for Intelligence Analysis (AI4IA) is part of the IC CAE Center for Critical Intelligence Studies at Rutgers University. The speakers are active researchers and practitioners in using AI, Data Analytics and Machine Learning techniques in defense, intelligence and security applications. The audience includes students, faculty, researchers and practitioners who are interested in using AI and advanced sensing for data collection and data analysis in intelligence applications. The aim of the colloquium series is for making connections between technologies and applications, and enhance awareness of the importance of and stir the interests of students in both artificial intelligence (AI) and intelligent analysis (IA).

For this purpose, we will hold live sessions over zoom monthly from late Spring 2021 to early Spring of 2022. To make each session impactful to a wide spectrum of the audience, the content of each session will have about an hour, including: (1) career stories (10-15 minutes); 2) technical/application talks (30 minutes); (3) Q&As (15-20 minutes). The talks will be for the students and faculty who are in CS, CpE, EE or any other programs who are interested in AI, data and machine learning, for applications in defense, intelligence and security, but we do not assume the audience have any experience in these fields.

Schedule and Registration or Recorded Lecture Links

For a playlist of all the current AI4IA talks, click here.

• Semantically Guided Collaborative Navigation, Mapping, Planning and Control for Manned/Unmanned Platforms. Dr. Rakesh (Teddy) Kumar, Vice President, Information and Computing Sciences; Director, Center for Vision Technologies, SRI International. 05/07/2021(Friday), 12-1pm. WATCH [HERE]

• AI/ML Standards for Autonomy in Use. Dr. Erik Blasch, PhD, MBA, IEEE Fellow, SPIE Fellow, AIAA Associate Fellow, AFOSR and AFRL. 06/15/2021(Tuesday), 12-1pm. WATCH [HERE]

• AI and Homeland Security. Dr. Fred Roberts, Distinguished Professor of Mathematics, Rutgers University; Director of Department of Homeland Security Center of Excellence CCICADA: Command, Control and Interoperability Center for Advanced Data Analysis; Director Emeritus and Special Advisor of DIMACS, Center for Discrete Mathematics and Theoretical Computer Science. 02/18/2022(Friday), 12-1pm. WATCH [HERE]

• The Generalizability Of Neural Networks: From Counting Crowds To Discovering Exoplanets. Dr. Greg Olmschenk, Postdoctoral Fellow at NASA’s Goddard Space Flight Center. 09/16/2022 (Friday), 12:30 -01:45pm. WATCH [Here]

• Rudimentary Introduction to Cybersecurity and its Role in Policy. Panelists: Benjamin Rosado – Intern Intelligence Analyst, Department of Homeland Security; Jin Chen – Tech Entrepreneur, CTO of Nearabl Inc. Moderator: Tyler Franklin – Student Researcher at Columbia University. 09/23/2022 (Friday), 12:30 -01:45pm. WATCH [Here]

• Human Action Recognition: Learning with Less Labels and Privacy Preservation. Dr. Mubarak Shah, UCF Board of Trustees Chair Professor, CRCV | Center for Research in Computer Vision, University of Central Florida. Time and Location: Monday February 6th, 2023, 10:30-11:30 AM (EDT), Steinman Hall Exhibit Room (ST-124), Grove School of Engineering, The City College of New York, 275 Convent Avenue, New York, NY 10031. WATCH [Here]

• Stephen P. Delmarco, Senior Principal Research Engineer II, Acting Director /Tao Wang, Principal Scientist (CUNY PhD),  BAE Systems. Time and Location TBD.

Future speaker information will be added over time