IEEE CogMI 2025
The 7th IEEE International Conference on Cognitive Machine Intelligence
Wyndham Grand Pittsburgh Downtown, Nov. 11-14, 2025, Pittsburgh, PA, USA
Co-located with IEEE CIC 2025 and IEEE TPS 2025
The 7th IEEE International Conference on Cognitive Machine Intelligence
Wyndham Grand Pittsburgh Downtown, Nov. 11-14, 2025, Pittsburgh, PA, USA
Co-located with IEEE CIC 2025 and IEEE TPS 2025
The preliminary Technical Program is now available. Please be aware that the schedule is subject to change. Preliminary Technical Program
Please visit the hotel reservation page for more details on the conference location. Hotel Reservation
Registration is now open. Please visit the registration page for more details. Registration Page
IEEE CIC/TPS/CogMI 2025 Co-located conference will be held in Pittsburgh, USA, the new version of website is on air! To find past conference information, please visit Past Conference tab.
Artificial Intelligence (AI) is rapidly transforming our business, social and physical world. Machine Intelligence and computing artifacts infused with AI and cognition is increasingly becoming an integral part of our social and economic activities/processes, as well as cultural and business interactions. The cognitive machine intelligence (CogMI) is creating unprecedented opportunities for impactful scientific innovations and societal transformations by significantly augmenting the human ability for problem solving and rapid decision making in terms of speed, precision and variety, while fostering innovations in all our human endeavors from scientific discoveries, solving long standing healthcare problems, modeling highly interconnected and globally distributed systems, and so forth. As we enter the new social, physical and cyber world empowered by such cognitive machine intelligence, it is important to understand and explore the foundational characteristics of the algorithmic theory and processes behind the cognitive machine intelligence, the behavioral and cognitive enhancement of intelligent machines that promote a productive and creative partnership and collaboration between the humans and the machines so as to ensure an equitable, fair and transparent CogMI-enhanced society and cyber-physical-social worlds around us.
The goal of the IEEE Conference on Cognitive Machine Intelligence (IEEE CogMI) is to create a research and development forum on cognitive machine intelligence to foster research results on AI and ML with cognitive science and behavioral science. It promotes productive collaborations among experts from multiple disciplines, such as but not limited to: computer science, electronic and computer engineering, information science, economics, industrial engineering, psychology, social and behavioral sciences, biological and physical sciences, and ethics, law and policy. IEEE CogMI aims to be a premier, highly multidisciplinary forum to foster interaction and exchange of innovative ideas, and collaboration among researchers, practitioners, philosophers from academia, industry and government sectors who are interested in developing innovative AI/ML algorithms, applications and systems by integrating cognitive science and putting humans in the loop, promoting innovations in cognitive machine intelligence. (For more Information, move to CFP)
Call for Paper
Notification of Acceptance Date
Early-rate Registration Deadline
Camera-Ready
Keynote Speakers (In Presentation Time Order):
Day 1: Nov. 12
Professor
Carnegie Mellon University, USA
Day/Time for Keynote Speech: Nov. 13
CVP and Managing Director, AI Frontiers, Microsoft Research, USA
Affiliated Faculty, University of Washington, USA
Day/Time for Keynote Speech: Nov. 12
Day 2: Nov. 13
Regents Professor
Arizona State University, USA
Day/Time for Keynote Speech: Nov. 13
Director, ARC Industrial Trasformation Research Hub for Future Digital Manufacturing, Australia
Professor, Swinburne University, Australia
Day/Time for Keynote Speech: Nov. 13
Day 3: Nov. 14
Founders Chair Professor
University of Texas at Dallas, USA
Day/Time for Keynote Speech: Nov. 14
Distinguished Scientist & Senior Research Director
Google (New York), USA
Day/Time for Keynote Speech: Nov. 14
IEEE TPS Panel: Towards Building Trustworthy and Responsible Agentic AI
Date / Time : Day 1, Nov. 12, 2025Agentic AI has emerged as the next significant phase in the rapidly evolving field of AI, offering tremendous opportunities to solve real-world problems and address societal challenges through the use of autonomous agents that can augment and/or replace human efforts. Agentic AI shows potential to streamline and solve large-scale system and application challenges, support organizational missions, automate manufacturing and supply chain, and augment autonomous vehicles, among others. At the same time, as with the development of AI in general, agentic AI poses increasing issues of security, privacy, and trust, along with ethical and governance challenges.
This panel will discuss the challenges and R&D opportunities that need to be carefully addressed to establish a trustworthy and responsible Agentic AI ecosystem, which is critical for uplifting our society. Some of the key questions for discussion include:
Panel Moderator
Panelists (Last Names in Alphabetical Order)
Director, AI Division, Carnegie Mellon University Software Engineering Institute, USA
Founding Director, Emerging Technology Center, Carnegie Mellon University Software Engineering Institute, USA
Principal Research Staff Member, IBM Research, USA
Senior Manager of Granite Data Platforms, IBM Research, USA
IEEE CogMI Panel: From LLMs and Agentic AI to Artificial General Intelligence (AGI) to Artificial Superintelligence (ASI) – the Paths, The Prospects, and the Pitfalls
Date / Time : Day 2, Nov. 13, 2025The global race for AI dominance is here -- fueled by billions of dollars pumped into AI innovations by big tech companies and at the national level. This is fast outpacing the individual, organizational, and societal ability to absorb technologies for more controlled use to augment their capabilities, as well as the ability of governments and society to create appropriate oversight and governance. The academia that often conducts research unconstrained by business bottom lines and driven by curiosity and public impact is being left behind with ever-declining resources and capabilities to contribute to this AI race. Many AI experts have already opined about the potential dire consequences of the fast-paced development of AGI, leading to ASI. Geoffrey Hinton warns that there is a “10-20% chance that AI wipes out humans.” At least, as he further indicates, AI will make a “few people much richer and most people much poorer.”
This panel will discuss the paths, the prospects, and the pitfalls the our accelerated advances in AI towards ASI.
Panel Moderator
Panelists (Last Names in Alphabetical Order)
Inaugural VP and Chief AI Officer, George Mason University, USA
Associate Dean for Research & Professor, School of Computing, George Mason University, USA
IEEE CIC Panel: Device, Data and Collaboration – the Emerging Challenges in Internet of “Intelligent” Things
Date / Time : Day 3, Nov. 14, 2025The exponential growth of devices and increasing hyperconnectivity is creating explosive growth in data and potential for data-driven collaborations. Spurred by recent AI advances, similar growth in the Internet of “intelligent” Things has the potential to create socially-intelligent, collaborative ecosystems of systems and applications. Various domains such as manufacturing, supply chain, healthcare ecosystems, autonomous vehicular systems, and digital twin of complex systems can benefit significantly from ubiquitous and interconnected devices, data systems, and smart applications.
This panel will discuss the current and emerging landscape of Internet-enabled, AI-powered and data-driven collaborative ecosystems, as well as the growing challenges and opportunities that it brings.
Panel Moderator
Panelists (Last Names in Alphabetical Order)
Professor, University of Colorado, USA
Director, Colorado Center for Cyber Security, USA
Jaime Carbonell University Professor of Computer Science
Carnegie Mellon University, USA
Louis A. Beecherl Jr. Distinguished Professor & Executive Director of the Cyber Security Research and Education Institute
University of Texas at Dallas, USA
Keynote Speakers (Last Names in Alphabetical Order):
Distinguished Scientist & Research Lead at Google DeepMind
Google Inc, USA
Day/Time: Oct. 28, 2024 / 01:30 PM – 02:30 PM
Division Director, NSF Information and Intelligent Systems (IIS) Division
Professor, Brown University, USA
Day/Time: Oct. 29, 2024 / 8:45 AM – 9:45 AM
Professor
Georgia Institute of Technology, USA
Day/Time: Oct. 28, 2024 / 09:45 AM – 10:45 AM
Corporate Officer, Chief Digital Transformation Officer and General Manager
TDK Corporation, Tokyo, Japan
Day/Time: Oct. 29, 2024 / 02:00 PM – 03:00 PM
Executive Vice President for Research and Professor of Computer Science
Columbia University, USA
Day/Time: Oct. 28, 2024 / 08:45 AM – 09:45 AM
Keynote Speakers (Last Names in Alphabetical Order):
Assistant Director for Technology, Innovation and Partnerships
National Science Foundation (NSF), USA
Conference Speakers of IEEE CIC/CogMI/TPS 2022
Conference Speakers of IEEE CIC/CogMI/TPS 2021
ACM Fellow, IEEE Fellow, Professor
University of California, Los Angeles, USA
Fellow & life member of AIAA, IEEE Fellow, W. Grafton and Lillian B. Wilkins Professor
University of Illinois Urbana-Champaign, USA
ACM Fellow, IEEE Fellow, Sohaib and Sara Abbasi Professor of CS and Willett Faculty Scholar
University of Illinois Urbana-Champaign, USA
Director, Quantum Hardware System Development
IBM Quantum, T. J. Watson Research Center, USA
Tutorial Speaker of IEEE CIC/CogMI/TPS 2021
Manager of AI Security and Privacy Solutions, Senior Research Scientist
IBM Almaden Research Center, USA
Conference Speakers of IEEE CIC/CogMI/TPS 2020
Professor, Past President of AAAI
Arizona State University, USA
Conference Speakers of IEEE CIC/CogMI/TPS 2019
Professor
Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland
Conference Speakers of IEEE CIC 2018
Jonathan B. Postel Professor
University of California, Los Angeles, USA
Director, UMBC Center for Cybersecurity, Oros Family Professor and Chair
University of Maryland - Baltimore County, USA
Conference Speakers of IEEE CIC 2017
Distinguished Scientist, Director, Mobile & Networking Research
Microsoft Research, USA
Robert S. Pepper Distinguished Professor
University of California at Berkeley, USA
Professor, IBM Fellow
Tsinghua University, China / IBM Almaden Research Center, USA
Conference Speakers of IEEE CIC 2016
Jaime Carbonell University Professor of Computer Science
Carnegie Mellon University, USA
Barbara J. and Jerome R. Cox, Jr., Professor of Computer Science and Engineering
Washington University in St. Louis, USA
Chief Innovation Officer
University of Pittsburgh Medical Center, USA
William Eckhardt Distinguished Service Professor of Computer Science
University of Chicago, USA
Professor, Director, Center for Disaster Management
University of Pittsburgh, USA
Conference Speakers of IEEE CIC 2015
Executive Director and Chief Scientist, Lutcher Brown Endowed Chair in Cyber Security, Professor of Computer Science
University of Texas at San Antonio, USA
Senior data scientist, Team leader, Big Data Lab of Baidu Research
Baidu Inc, China
Plenary Panel 1: How Will Artificial Intelligence Reshape Scientific Research?
Date / Time : Oct. 28, 2024 / 02:30 PM – 04:30 PMPanel Moderator
Panelists (Last Names in Alphabetical Order)
Plenary Panel 2: Driving Innovations in Emerging Technologies: R&D Priorities and Funding Landscape
Date / Time : Oct. 30, 2024 / 10:15 AM – 12:15 PMPanel Moderator
Panelists (Last Names in Alphabetical Order)
Director, NITRD & Assistant Director, Networking and Information Technology at White House
NIST, USA
Associate Director, Emerging Technologies, Information Technology Laboratory
NIST, USA
Plenary Panel 3: AI vs AI – The Inevitable Next Cyber Frontier
Date / Time : Oct. 30, 2024 / 3:00 PM – 5:00 PMPanel Moderator
Panelists (Last Names in Alphabetical Order)
Director, UMBC Center for Cybersecurity & Acting Dean, College of Engineering and Information Technology
University of Maryland, Baltimore County (UMBC), USA
Plenary Panel 1: AI Impact and Challenges in Industry and Government
Panel Moderator
Panelists (Last Names in Alphabetical Order)
Director & Distinguished Engineer, Enterprise Data & Governance for AI Models
IBM Research - Almaden San Jose, USA
Plenary Panel 2: Generative AI and Large Language Models: Research Impact and Open Challenges
Panel Moderator
Panelists (Last Names in Alphabetical Order)
Plenary Panel 3: Grand Challenges in Cyber Security and Privacy
Panel Moderator
Panelists (Last Names in Alphabetical Order)
Director, UMBC Center for Cybersecurity & Acting Dean, College of Engineering and Information Technology
University of Maryland, Baltimore County (UMBC), USA
Electronics Engineer, Team Lead
U.S. Army DEVCOM, Army Research Laboratory (ARL), USA
Full Professor, Associate Dean for Research & Graduate Studies
Howard University Data Science & Cybersecurity Center, USA
Speakers for IEEE CIC (Last Names in Alphabetical Order):
Speakers for IEEE TPS (Last Names in Alphabetical Order):
Speakers for IEEE CogMI (Last Names in Alphabetical Order):
Electronics Engineer, Team Lead
U.S. Army DEVCOM, Army Research Laboratory (ARL), USA
Speakers for IEEE CIC (Last Names in Alphabetical Order):
Speakers for IEEE TPS (Last Names in Alphabetical Order):
Director, UMBC Center for Cybersecurity & Acting Dean, College of Engineering and Information Technology
University of Maryland, Baltimore County (UMBC), USA
Speakers for IEEE CogMI (Last Names in Alphabetical Order):
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