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Welcome to CogMI
2024
02/17/2025 -- CogMI 2024 Best Papers:
  • Jiang, Bohan, et al. "Catching chameleons: Detecting evolving disinformation generated using large language models." 2024 IEEE 6th International Conference on Cognitive Machine Intelligence (CogMI). IEEE, 2024.
  • here.
  • Frericks, John, et al. "Trust and Collaboration Testing in Controlled Human-Robot Environments." 2024 IEEE 6th International Conference on Cognitive Machine Intelligence (CogMI). IEEE, 2024.
  • here.
    10/29/2024 -- Conference Photos are available, see here.
    10/27/2024 -- Final Technical Program is available, see here.
    09/21/2024 -- Plenary Panels is being organized.
    09/20/2024 -- Camera-ready submission instruction: Click Here.
    08/30/2024 -- Hotel Reservation Link at Conference Rate: Click Here.
    08/20/2024 -- Conference Registration Link: Click Here.
    07/17/2024 -- Special issue is being organized in IEEE Transactions on Privacy.
    07/17/2024 -- Best papers will be invited for expansion and submission to IEEE Reliability magazine.
    07/10/2024 -- We are happy to have NSF grant to provide TPS Student Travel Support
    Welcome to 2024 IEEE 6th International Conference on Cognitive Machine Intelligence.

    About IEEE CogMI


    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 2024 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.

    Important Dates

      Round One

    • [Extension] Submission Deadline: June 21, 2024
    • Notification of Acceptance Date July 22, 2024

    • Round Two

    • [Extension] Submission Deadline: August 11, 2024
    • Notification of Acceptance Date September 8, 2024
    • Camera Ready Submissions: September 24, 2024 [Extended]
    • These dates are for IEEE CIC/CogMI/TPS conferences only; WORKSHOPs have their own submission deadline – please go to individual WORKSHOP’s website to check their deadlines.

    Keynote Speakers for IEEE CIC/CogMI/TPS 2024


    Keynote Speakers (Last Names in Alphabetical Order)
    Please visit Talks -> Keynote Page for more details (e.g., abstract and bio)

    Chi
    Keynote Title: The Future of Discovery Assistance See Abstract Here
    Ed H. Chi

    Distinguished Scientist & Research Lead at Google DeepMind
    Google Inc, USA
    Day/Time for Keynote Speech: Oct. 28, 2024 / 01:30 PM – 02:30 PM
    Michael
    Keynote Title: The National Science Foundation's Role in the Future of AI See Abstract Here
    Michael L. Littman

    Division Director, NSF Information and Intelligent Systems (IIS) Division
    Professor, Brown University, USA
    Day/Time for Keynote Speech: Oct. 29, 2024 / 8:45 AM – 9:45 AM
    muli
    Keynote Title: Responsible Adaptation of Large Generative AI Models See Abstract Here
    Ling Liu
    Professor
    Georgia Institute of Technology, USA
    Day/Time for Keynote Speech: Oct. 28, 2024 / 09:45 AM – 10:45 AM
    Rameshi
    Keynote Title: Transforming Society: TDK’s Vision Accelerated by Digital Transformation
    See Abstract Here
    Roshan Thapliya

    Corporate Officer, Chief Digital Transformation Officer and General Manager
    TDK Corporation, Tokyo, Japan
    Day/Time for Keynote Speech: Oct. 29, 2024 / 02:00 PM – 03:00 PM
    Chi
    Keynote Title: Trustworthy AI See Abstract Here
    Jeannette M. Wing

    Executive Vice President for Research and Professor of Computer Science
    Columbia University, USA
    Day/Time for Keynote Speech: Oct. 28, 2024 / 08:45 AM – 9:45 AM

    Plenary Panels for IEEE CIC/CogMI/TPS 2024


    Plenary Panel 1: How Will Artificial Intelligence Reshape Scientific Research?
    Date / Time : Oct. 28, 2024 / 02:30 PM – 04:30 PM

    Panel Moderator

    Rameshi
    Paolo Boldi
    Professor
    University of Milano, Italy

    Panelists (Last Names in Alphabetical Order)

    Rameshi
    Ed Chi
    Distinguished Scientist & Research Lead at Google DeepMind
    Google Inc, USA
    Rameshi
    Jonathan Gryak
    Assistant Professor
    City University of New York, USA
    Rameshi
    Huan Liu
    Regents Professor and Ira A
    Arizona State University, USA
    Rameshi
    Ling Liu
    Professor
    Georgia Institute of Technology, USA
    Rameshi
    Hemant Purohit
    Associate Professor
    George Mason University, USA
    Rameshi
    Li Yang
    Guerry Professor and the Director
    UTC Information Security (InfoSec) Center, USA

    Plenary Panel 2: Driving Innovations in Emerging Technologies: R&D Priorities and Funding Landscape
    Date / Time : Oct. 30, 2024 / 10:15 AM – 12:15 PM

    Panel Moderator

    Rameshi
    James Joshi
    Professor
    University of Pittsburgh, USA
    liuhuan
    Huan Liu
    Regents Professor and Ira A
    Arizona State University, USA

    Panelists (Last Names in Alphabetical Order)

    Rameshi
    Jennifer Roberts Panel Slides
    Director, Resilient Systems, ARPA-H
    Rameshi
    Craig Schlenoff
    Director, of NITRD & Assistant Director of Networking and Information Technology at White House OSTP
    Rameshi
    Heidi Sofia
    Deputy Director of National Center for Biotechnology Information (NCBI) National Library of Medicine (NLM), National Institute of Health (NIH)
    Rameshi
    Elham Tabassi
    Associate Director for Emerging Technologies, Information Technology Laboratory, NIST
    Rameshi
    Cliff Wang
    Program Director
    Secure and Trustworthy Cyberspace Program, NSF

    Plenary Panel 3: AI vs AI – The Inevitable Next Cyber Frontier

    Date / Time : Oct. 30, 2024 / 3:00 PM – 5:00 PM

    Panel Moderator

    Rameshi
    James Joshi
    Professor
    University of Pittsburgh, USA

    Panelists (Last Names in Alphabetical Order)

    Rameshi
    Karl Aberer
    Full Professor
    EPFL, Switzerland
    Rameshi
    Elena Ferrari
    Professor
    University of Insubria, Italy
    Rameshi
    Anupam Joshi
    Acting Dean, College of Engineering and Information Technology
    College of Engineering and Information Technology , USA
    Rameshi
    Peter Kairouz
    Research Scientist
    Google Inc, USA
    Rameshi
    Calton Pu
    Professor and John P. Imlay, Jr. Chair in Software
    Georgia Institute of Technology, USA

    Invited Talks for IEEE CIC/CogMI/TPS 2024


    Rameshi
    Tarek Abdelzaher
    Professor
    UIUC, USA
    Rameshi
    Barbara Carminati
    Professor
    University of Insubria, Italy
    Rameshi
    Dimitrios Georgakopolous
    Professor
    Swinburne University of Technology, Australia
    Rameshi
    Peter Kairouz
    Research Scientist
    Google Inc, USA
    Rameshi
    Latifur Khan
    Professor
    University of Texas at Dallas, USA
    Rameshi
    Huan Liu
    Professor
    Arizona State University, USA
    Rameshi
    Ravi K. Madduri
    Senior Computer Scientist
    Grgonne National Lab, USA
    Rameshi
    Calton Pu
    Professor and John P. Imlay, Jr. Chair in Software
    Georgia Institute of Technology, USA
    Rameshi
    Adrienne Raglin
    Electronics Engineer, Team Lead
    U.S. Army DEVCOM, Army Research Laboratory (ARL)
    Rameshi
    Danda B. Rawat
    Full Professor, Associate Dean for Research & Graduate Studies
    Howard University Data Science & Cybersecurity Center, USA
    Rameshi
    Upendra Sharma
    Research Staff Member
    IBM T. J. Watson Research Center, USA
    Rameshi
    Jialie (Jerry) Shen
    Professor
    City University of London, UK
    Rameshi
    Weisong Shi
    Professor
    University of Delaware, USA

















    Keynote Speakers for IEEE CIC/CogMI/TPS 2023


    Keynote Speakers (Last Names in Alphabetical Order)

    Rameshi
    Alessandro Acquisti

    Professor
    Carnegie Mellon University, USA
    Rameshi
    Erwin Gianchandani
    Assistant Director for Technology, Innovation and Partnerships
    National Science Foundation (NSF)
    Rameshi
    Jiawei Han

    Professor
    University of Illinois at Urbana-Champaign, USA
    Rameshi
    Ling Liu

    Professor
    Georgia Institute of Technology, USA

    Invited Talks for IEEE CIC/CogMI/TPS 2023


    Speakers for CIC (Last Names in Alphabetical Order)

    Rameshi
    Tarek Abdelzaher
    Professor
    UIUC, USA
    Rameshi
    Songqing Chen
    Professor
    George Mason University, USA
    Rameshi
    John A. Miller
    Professor
    University of Georgia, USA
    Rameshi
    Lakshmish Ramaswamy
    Professor
    University of Georgia, USA
    Rameshi
    Jialie (Jerry) Shen
    Professor
    City University of London, UK
    Rameshi
    Qingyang Wang
    Associate Professor
    Louisiana State University, USA
    Speakers for IEEE TPS (Last Names in Alphabetical Order)
    Rameshi
    Rachel Cummings
    Associate Professor
    Columbia University, USA
    Rameshi
    Wenbo He
    Associate Professor
    McMaster University, Canada
    Rameshi
    Divyesh Jadav
    Manager and Senior Technical Staff Member
    IBM Research, USA
    Rameshi
    Dan Lin
    Professor
    Vanderbilt University, USA
    Rameshi
    Surya Nepal
    Senior Principal Research Scientist
    CSIRO Data61, Australia
    Rameshi
    Francis Quek
    Professor
    Texas A&M University, USA
    Rameshi
    Indrakshi Ray
    Professor
    Colorado State University, USA
    Rameshi
    Attila A Yavuz
    Associate Professor
    University of South Florida, USA
    Speakers for IEEE CogMI (Last Names in Alphabetical Order)
    Rameshi
    Wonik Choi
    Professor
    Inha University, Republic of Korea
    Rameshi
    Taghi M. Khoshgoftaar
    Professor
    Florida Atlantic University , USA
    Rameshi
    Matthieu Latapy
    Senior researcher
    CNRS, France
    Rameshi
    Ling Liu
    Professor
    Georgia Institute of Technology, USA
    Rameshi
    Adrienne Raglin
    Electronics Engineer
    Army Research Laboratory, USA
    Rameshi
    Matteo Riondato
    Associate Professor
    Amherst College, USA
    Rameshi
    Gabriele Tomomei
    Associate Professor
    Sapienza University of Rome, Italy

    Plenary Panels for IEEE CIC/CogMI/TPS 2023


    Plenary Panel 1: AI Impact and Challenges in Industry and Government

    Panel Moderator

    Rameshi
    James Joshi
    Professor
    University of Pittsburgh, USA

    Panelists (Last Names in Alphabetical Order)

    Rameshi
    Sandeep Gopisetty
    Distinguished Engineer and Director of Data for AI Models
    IBM Research - Almaden, USA
    Rameshi
    Arun Iyengar
    Cisco Research, USA
    Rameshi
    Surya Nepal
    Senior Principal Research Scientist
    CSIRO Data61, Australia
    Rameshi
    Tao Zhang
    NIST, USA

    Plenary Panel 2: Generative AI and Large Language Models: Research Impact and Open Challenges

    Panel Moderator

    Rameshi
    Ling Liu
    Professor
    Georgia Institute of Technology, USA

    Panelists (Last Names in Alphabetical Order)

    Rameshi
    Paolo Boldi
    Professor
    University of Milano, Italy
    Rameshi
    Mark Riedl
    Professor
    Georgia Institute of Technology, USA
    Rameshi
    Norman Sadeh
    Professor
    Carnegie Mellon University, USA
    Rameshi
    Christin Seifert
    Professor
    University of Marburg, Germany

    Plenary Panel 3: Grand Challenges in Cyber Security and Privacy

    Panel Moderator

    Rameshi
    James Joshi
    Professor
    University of Pittsburgh, USA

    Panelists (Last Names in Alphabetical Order)

    Rameshi
    Elisa Bertino
    Professor
    Purdue University, USA
    Rameshi
    Anupam Joshi
    Professor
    University of Maryland Baltimore County, USA
    Rameshi
    Vladimir Kolesnikov
    Professor
    Georgia Institute of Technology, USA
    Rameshi
    Elaine Shi
    Associate Professor
    Carnegie Mellon University, USA

    Distinguished Lectures for IEEE CIC/CogMI/TPS 2023


    Speakers for CIC (Last Names in Alphabetical Order)

    Rameshi
    Paolo Boldi
    Professor
    University of Milano, Italy
    Rameshi
    Weisong Shi
    Professor
    University of Delaware, USA
    Rameshi
    Mei-Ling Shyu
    Professor
    University of Missouri-Kansas City, USA
    Rameshi
    Jun Wang
    Professor
    University of Central Florida, USA
    Speakers for IEEE TPS (Last Names in Alphabetical Order)
    Rameshi
    Elisa Bertino
    Professor
    Purdue University, USA
    Rameshi
    Anupam Joshi
    Professor
    University of Maryland Baltimore County, USA
    Rameshi
    Murat Kantarcioglu
    Professor
    University of Texas at Dallas, USA
    Rameshi
    Latifur Khan
    Professor
    University of Texas at Dallas, USA
    Rameshi
    Surya Nepal
    Senior Principal Research Scientist
    CSIRO Data61, Australia
    Rameshi
    Bhavani Thuraisingham
    Professor
    University of Texas at Dallas, USA
    Rameshi
    Jaideep Vaidya
    Professor
    Rutgers University, USA
    Rameshi
    Li Xiong
    Professor
    Emory University, USA
    Speakers for CogMI (Last Names in Alphabetical Order)
    Rameshi
    Taghi M. Khoshgoftaar
    Professor
    Florida Atlantic University , USA
    Rameshi
    Feng Luo
    Professor
    Clemson University, USA
    Rameshi
    Madhav Marathe
    Professor
    University of Virginia, USA
    Rameshi
    Calton Pu
    Professor
    Georgia Institute of Technology, USA
    Rameshi
    Philip S. Yu
    Professor
    University of Illinois Chicago, USA

    IEEE Computer Society Open Conference Statement


    Equity, Diversity, and Inclusion are central to the goals of the IEEE Computer Society and all of its conferences. Equity at its heart is about removing barriers, biases, and obstacles that impede equal access and opportunity to succeed. Diversity is fundamentally about valuing human differences and recognizing diverse talents. Inclusion is the active engagement of Diversity and Equity.

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