9th International Conference of Control, Dynamic Systems, and Robotics (CDSR’22)

June 2, 2022 - June 4, 2022 | Niagara Falls , Canada

9th International Conference of Control, Dynamic Systems, and Robotics (CDSR'22) will be delivered as a physical conference combining with the opportunity of live presentation for the people who can not travel for any reason. Attendees will be able to connect with researchers from across the globe and network in-person or virtual.

The Conference Proceedings will be published with an ISSN and ISBN, indexed in Scopus and Google Scholar, and archived permanently in Portico.

The 9th International Conference of Control, Dynamic Systems, and Robotics (CDSR'22) aims to become the leading annual conference in fields related to Control, Dynamic Systems, and Robotics. The goal of CDSR'22 is to gather scholars from all over the world to present advances in the relevant fields and to foster an environment conducive to exchanging ideas and information. This conference will also provide an ideal environment to develop new collaborations and meet experts on the fundamentals, applications, and products of the mentioned fields.

CDSR'22 is an acronym for Control, Dynamic Systems and Robotics.

Topics for CDSR’22 include, but are not limited, to the following:

  • Adaptive Control
  • Bio-Inspired Systems and Control
  • Cloud Computing in Control Applications
  • Computational Intelligence
  • Control in Healthcare
  • Distributed Control
  • Embedded Control
  • Fuzzy Systems
  • Intelligent and AI Based Systems
  • Learning Systems
  • Linear and Nonlinear Control
  • Mechatronics
  • Micro and Nano Systems
  • Motion Control
  • Optimal Control
  • Process Control, Automation, and Instrumentation
  • Quantum Control
  • Robotics


Extended Paper Submission Deadlines


Extended Notification to Authors


Extended Early-Bird Registration

Author Guidelines

Submissions in the form of extended abstracts, short papers, and full manuscripts are welcome.

  • all submitted papers will be peer-reviewed
  • the congress proceedings will be published under an ISSN and ISBN number
  • the conference proceedings will be indexed by Scopus and  Google Scholar
  • each paper will be assigned a unique DOI number by Crossref
  • the proceedings will be permanently archived in Portico (one of the largest community-supported digital archives in the world).
  • selected papers from the congress will be submitted for possible publication in the Journal of Machine Intelligence and Data Science (JMIDS)

    Learn More »

    Google Scholar

Conference Chairs

Dr. Aparicio Carranza
Dr. Aparicio Carranza

New York City College of Technology, USA
Conference Chair

View Profile

Dr. Yang Shi
Dr. Yang Shi

University of Victoria, Canada
Conference Co-Chair

View Profile

Keynote Speakers

Dr. Huazhen Fang
Dr. Huazhen Fang

University of Kansas, USA
Keynote Speaker

Biography & Abstract

Dr. Gary M. Bone
Dr. Gary M. Bone

McMaster University, Canada
Keynote Speaker

View Profile

Avestia Compass

Machine Learning and Modern Medicine

While the images of artificial intelligence popularized in modern film and literature are still far from a reality today, subsets of the field like machine learning and deep learning continue to make significant advancements. Machine learning uses statistical models, patterns, and inference to teach computer systems to conduct tasks without requiring explicit instructions. By drawing from a set of training data, computer systems are then able to build up a mathematical model to make decisions and predictions without relying on strict programming. One of the most successful and pervasive achievements of this form of machine learning, or more specifically deep ...
Read More
/ Blog, Robotics

The Robotic Future of the Construction Industry

By 2019, many industries have embraced the time and cost saving benefits of automation and robotics, but the unique spatial challenges and adaptive nature of the construction industry means that it has not yet caught up to the robot workplace revolution. This may soon change though as industry experts say that the construction field is poised for a robotic takeover. According to the U.S. Bureau of Labour Statistics, almost 200, 000 construction jobs were left unfulfilled and the McKinsey report estimated that on average 98 percent of construction projects go over time and over budget. These labour and efficiency issues mean ...
Read More
/ Blog, Robotics

Avestia Publishing
International Aset