News


Program
The preliminary conference program is released. Please check program .
Registration
Registration is open (early-rate until Sep. 30th).
Sponsorship
The co-conferences are grateful for sponsorship support from Cisco Research.There will be a Cisco Research Best Paper Award !
Welcome to CogMI
Welcome to 2023 The Fifth IEEE 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 2019 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

Early Registration
  • Early Registration Deadline September 30, 2023

Keynote Speakers for 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

Distinguished Lectures for 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 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

Invited Talks for 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 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 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 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

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.

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IEEE Event Conduct and Safety Statement


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