News


More news, please visit our Facebook Group
Welcome to CogMI
2024
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
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.

A goal of the IEEE Computer Society is to foster an environment in which all individuals are entitled to participate in any IEEE Computer Society activity free of discrimination. For this reason, the IEEE Computer Society is firmly committed to team compositions in all sponsored activities, including but not limited to, technical committees, steering committees, conference organizations, standards committees, and ad hoc committees that display Equity, Diversity, and Inclusion.

IEEE Computer Society meetings, conferences and workshops must provide a welcoming, open and safe environment, that embraces the value of every person, regardless of race, color, sex, sexual orientation, gender identity or expression, age, marital status, religion, national origin, ancestry, or disability. All individuals are entitled to participate in any IEEE Computer Society activity free of discrimination, including harassment based on any of the above factors.

IEEE Event Conduct and Safety Statement


IEEE believes that science, technology, and engineering are fundamental human activities, for which openness, international collaboration, and the free flow of talent and ideas are essential. Its meetings, conferences, and other events seek to enable engaging, thought provoking conversations that support IEEE’s core mission of advancing technology for humanity. Accordingly, IEEE is committed to providing a safe, productive, and welcoming environment to all participants, including staff and vendors, at IEEE-related events.

IEEE has no tolerance for discrimination, harassment, or bullying in any form at IEEE-related events. All participants have the right to pursue shared interests without harassment or discrimination in an environment that supports diversity and inclusion. Participants are expected to adhere to these principles and respect the rights of others.

IEEE seeks to provide a secure environment at its events. Participants should report any behavior inconsistent with the principles outlined here, to on site staff, security or venue personnel, or to eventconduct@ieee.org