The Third IEEE International Conference on Cognitive Machine Intelligence (IEEE CogMI 2021)

Dec 13-15, 2021, Virtual Conference

Important Dates

Abstract Submission (optional): Aug 8, 2021
Full Paper Submission: Aug 15, 2021
Notification of Acceptance: Sept 30, 2021
Camera-ready Submission: Oct 10, 2021
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 2020 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.

Topics of interest are broadly from the area of machine intelligence, behavior and cognition. Please check the conference web site for details.

CogMI2021 will have the research track, industry/government track, and blue-sky/vision track. Please check the web site for submission details.
Workshops, Panels, and Tutorials
We welcome workshop, panel, and tutorial proposals. Please check the web site for details. 

IEEE CogMI will feature a Best Paper Award and a Best Student Paper Award (to be selected by the program committee/best paper award team). A paper is eligible for the Best Student Paper Award if the first author is a full-time student at the time of submission. A partial travel grant or cash award may be offered to the winner student depending on fund availability.

Submission Instructions
Regular or Industry/Gov track papers should be no longer than 10 pages, while Vision paper can be as short as 2 pages but no longer than 10 pages. All papers should be in the standard two-column IEEE proceedings format.
Submission Site:

Organization Committee

General Co-Chairs
Paolo Boldi, University of Milan, Italy
Calton Pu, Georgia Tech, USA

Program Co-Chairs
Huan Liu, Arizona State University, USA
Tarek Abdelzher, University of Illinois Urbana Champaign, USA
Christin Seifert, University of Duisburg-Essen, Germany

Conferences Coordination Co-Chairs
Brian Blake, George Washington University, USA
Balaji Palanisamy, Univeristy of Pittsburgh, USA

Industry/Gov Co-chair
Tao Zhang, NIST, USA
Ashish Kundu, Cisco, US

BlueSky/Vision Co-Chairs
Ling Liu, Georgia Tech, USA

Finance and Local Arrangements Chair
Julian Jarrett, Lutron Electronics, Philadelphia, USA & Lecturer, ICPC Director(Jamaica)

Proceedings Chair
Runhua Xu, IBM Research, United States

Web Chair
Jinlai Xu,University of Pittsburgh, USA