Welcome to CogMI
Welcome to 2022 The Fourth 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.

Keynote Speakers for CIC/CogMI/TPS 2022

Keynote Speakers

Ramesh Raskar
Associate Professor
MIT Media Lab, USA
Vijay Atluri
Dean’s Research Professor
Rutgers University, USA
Jian Pei
Duke University, USA
(On-leave) Simon Fraser University , Canada
Bhavani Thuraisingham
Founders Chair Professor
The University of Texas at Dallas, USA
Elisa Bertino
Samuel D. Conte Professor of Computer Science
Purdue University, USA
Guruduth Banavar
Founding CTO
Viome, USA

Keynote Speakers from Past Years

Conference Speakers of CIC/CogMI/TPS 2021

Mani Srivastava
ACM Fellow, IEEE Fellow, Professor University of California, Los Angeles, USA
Enabling a rich and trustworthy nexus of AI and IoT
Naira Hovakimyan
Fellow and a life member of AIAA, IEEE Fellow, W. Grafton and Lillian B. Wilkins Professor University of Illinois Urbana-Champaign, USA
Towards Safety and Security in Socio-Cyber-Physical Systems
Latanya Sweeney
Daniel Paul Professor Harvard University, USA
How Technology Will Dictate Our Civic Future
Tarek Abdezaher
ACM Fellow, IEEE Fellow, Sohaib and Sara Abbasi Professor of CS and Willett Faculty Scholar University of Illinois Urbana-Champaign, USA
Real-Time Edge AI
Jerry M. Chow
Director, Quantum Hardware System Development IBM Quantum, T. J. Watson Research Center, USA
Powering a quantum future through quantum circuits
Molly Jahn
Program Manager Defense Advanced Research Projects Agency, USA
Keynote for Special Session on Agriculture Cybersecurity

Tutorial Speaker of CIC/CogMI/TPS 2021

Nathalie Baracaldo
Manager AI Security and Privacy Solutions and Research Staff Member IBM Almaden Research Center, USA
Can federated learning solve our data privacy problems? State of the art and open challenges

Conference Speakers of CIC/CogMI/TPS 2020

Subbarao Kambhampati
Professor Arizona State University, USA Past President of AAAI
Synthesizing Interpretable Behavior for Human-Aware AI Systems
Vitaly Shmatikov
Professor Cornell University and Cornell Tech, USA
What Are Machine Learning Models Hiding?

Conference Speakers of CIC/CogMI/TPS 2019

Jiawei Han
Abel Bliss Professor University of Illinois at Urbana-Champaign, US
Structuring of Unstructured Data: A Key to Automated Machine Intelligence
Karl Aberer
Professor Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland
Making News Credible Again
Robert Yates
Distinguished Engineer IBM (Data and AI Product Group), US
Collaborating with Machines
Ashish Kundu
ACM Distinguished Member, ACM Distinguished Speaker Graphaigo Inc., US
Trusting Autonomous Vehicles

IEEE Computer Society Open Conference Statement

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