Notice

IEEE ICAS 2021’s Registration is now open! Author Registration deadline is June 10, 2021. Each paper must have one author registration associated with it. This conference will be held as a virtual conference. More details regarding the upload of virtual presentations will be sent via personal emails shortly.

Mark Your Calendars

Important Dates

March 31, 2021

Paper Deadline

April 25, 2021

Special Session – Special Track Deadline

May 21, 2021

Notification of Paper Acceptance

June 10, 2021

Final Submission of Accepted Papers

About the Conference

IEEE ICAS 2021

The IEEE International Conference on Autonomous Systems (IEEE ICAS 2021) will take place in Montréal, Québec, Canada on August 11-13, 2021. The IEEE ICAS 2020 will be a premier international forum for presenting the technological advances and research results in the fields of theoretical, experimental, and applied Autonomous Systems (AS).

The 2021 IEEE International Conference on Autonomous Systems (ICAS 2021) is sponsored by IEEE Signal Processing Society (SPS) through IEEE SPS Autonomous Systems Initiative. Over the last decade, researchers have been proposing and investigating computing systems with advanced levels of autonomy in order to manage the ever-increasing requirements in complexity. An autonomous system is an artificial system able to perform a certain number of tasks with a high degree of autonomy. Signal Processing plays a key role within autonomous systems by providing theories and techniques to design algorithms used for perception, control and learning within an autonomous system. This IEEE ICAS 2021 conference is focused on providing an updated state of the art over most advanced signal processing theories and techniques that are relevant for developing autonomous systems. 

Topics of Interest

Original papers are invited from multidisciplinary, interdisciplinary and transdisciplinary perspectives on subject topics in Autonomous Systems including, but not limited to, the following:

  • Intelligent Foundations of AS
  • System Foundations of AS
  • Mathematical Foundations of AS
  • Computational Foundations of AS
  • Brain Science Foundations of AS
  • Cognitive Foundation of AS
  • Bottlenecks of Adaptive Systems
  • Indeterministic & Uncertainty Behaviors of AS
  • Interaction Between Humans and AS
  • Autonomous Computing Platforms
  • Neurological Foundations of AS
  • Signal Processing Theories of AS
  • Autonomous Computers
  • Autonomous Algorithms
  • Brain-inspired AS
  • Machine Learning
  • Autonomous IoTs
  • Self-driving Vehicles and Vessels
  • Autonomous Robots
  • Real-time AS
  • Autonomous Unmanned Systems
  • Trustworthiness of AS
  • Mission Critical Systems
  • Autonomous Perception / Computer Vision
  • Applied Paradigms of AS
  • Autonomous Programming
  • Cognitive Inference Engines
  • Autonomous Robots
  • Distributed AS
  • Embedded AS
  • Communications among AS
  • Communications Between AS and Humans
  • Autonomous Operating Systems
  • Autonomous Sensors
  • Autonomous Swarms
  • Social AS

Publication of Papers

Autonomous Medical Robotic Systems

Co-Chairs: Dario Farina (UK), Mahdi Tavakoli (Canada) and S. Farokh Atashzar (US)

Security and Resilience of Autonomous Cyber-Physical Systems

Co-Chairs: Deepa Kundur (Canada) and Mohammad Al Janaideh (Canada)

Autonomous Control Systems

Co-Chairs: Dr. Giuseppe Franze (Italy) and Walter Lucia (Canada)

Autonomous Transportation Systems

Co-Chairs: Chun Wang (UK) and Anjali Awasthl (Canada)

Signal Processing for Self Aware and Social Autonomous Systems

Co-Chairs: Usman Khan (USA) and Hoi-To Wai (Hong Kong)

About the Venue

Concordia University Conference Centre

Inaugurated in October 2017, the Conference Centre is located in the John Molson Building in the heart of Downtown Montreal. Equipped with state-of-the-art technology, the Center offers a modern and ultra-functional environment. It has a comfortable reception area for coffee breaks or cocktails as well as a wide corridor to facilitate traffic.  The abundant windows offers daylight and a spectacular view of the city and the St. Lawrence River. 

conf-centre

IEEE websites place cookies on your device to give you the best user experience. By using our websites, you agree to the placement of these cookies. To learn more, read our Privacy Policy.