The Fifth IEEE International Conference on Cognitive Machine Intelligence (IEEE CogMI 2023)

                                        Nov 1-3, 2023. Atlanta, GA, USA

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.

                                                        Important Dates

Full Paper Submission         Aug 08, 2023 (Deadline Extended)                                   

Notification of Acceptance    Sep 10, 2023                                            

Camera-ready Submission        Sep 20, 2023                                                                                            

Vision Paper Submission        Jul 15, 2023                                            

Vision Paper Notification    Sep 20, 2023                                            

TPS 2023: https://easychair.org/my/conference?conf=ieeetps2023

CIC 2023: https://easychair.org/my/conference?conf=ieeecic2023

CogMI 2023: https://easychair.org/my/conference?conf=ieeecogmi2023

                                                    Submission Instructions

Research and Industry 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

                                                            Topics

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

                                                            Tracks

CogMI2023 will have the Research & Industry Track and 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. 

                                                            Awards

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.

                                                    Organization Committee

                                                      General Co-Chairs

                               Karl Aberer, EPFL-IC-IIF-LSIR, Switzerland                                Huan Liu, Arizona State University, USA

                                                       Program Co-Chairs

                                Christin Seifert, University of Marburg, Germany                       Indrakshi Ray​, Colorado State University, USA   

                                             Conferences Coordination Co-Chairs

                                Shu-Ching Chen, University of Missouri - Kansas City                                    Amir Mazoumzadeh, SUNY Albany, USA    

                                                     Vision Track Co-Chairs

                                Elisa Bertino, Purdue University, USA                                Paolo Boldi, University of Milan, Italy                                Tarek Abdelzaher, University of Illinois at Urbana Champaign, USA

                                                     Industry Track Co-Chairs

                                Ashish Kundu, Cisco, USA                                Abhishek Kumar, Google Brain                                Frederico Araujo, IBM TJ Watson

                                                     Workshop Co-Chair

                                Runhua Xu, Beihang University, China                               Julian Jarrett, Lutron Electronics, Philadelphia, USA & Lecturer, ICPC Director(Jamaica)

                                                    Publicity Chair

                                Wenqi Wei, Fordham University, USA                                                                                                              

                                                    Web Chair

                                Jingzhe Wang, University of Pittsburgh, USA