★2023 6th International Conference on Advanced Control, Automation and Robotics (ICACAR 2023)- Ei Compendex & Scopus—Call for paper 
April 14-16, 2023｜Guangzhou, China ｜Website: https://www.icacar.org/

★ICACAR 2023 welcomes researchers, engineers, scientists and industry professionals to an open forum where advances in the field of Advanced Control, Automation and Robotics can be shared and examined. The conference is an ideal platform for keeping up with advances and changes to a consistently morphing field. Leading researchers and industry experts from around the globe will be presenting the latest studies through papers and oral presentations. 

★Publication and Indexing
All accepted and presented papers will be included in Journal of Physical: Conference Series(JPCS), which will send to be reviewed and indexed by major citation databases such as Ei Compendex, Scopus, CPCI, Google Scholar etc.
Selected papers will be considered for submission in journal after significant extension.

★Keynote Speakers
Prof.Michael Milford, Queensland University of Technology, Australia
Prof.Angelo Cangelosi, University of Manchester, United Kingdom
Prof.Ian McAndrew, Capitol Technology University, United States
Prof. Joaquim R.R.A. Martins, University of Michigan, United States

★Program Preview/ Program at a glance
April 14: Registration + Icebreaker Reception
April 16: Opening Ceremony+ KN Speech+ Technical Sessions
April 17: Technical Sessions+ Half day tour/Lab tours

★Paper Submission
1.Submit Via CMT: https://cmt3.research.microsoft.com/ICACAR2023
2.Submit Via email directly to: icacar@iased.org

★CONTACT US
Ms. Mia J. Lee
Email: icacar@iased.org
Website: https://www.icacar.org/

Call for papers(http://www.icacar.org/cfp):
Intelligent Control Systems And Optimization
Decision Support Systems Computer and Microprocessor-based Control
Distributed Control Systems Environmental Monitoring and Control
Engineering Applications Information-based Models for Control
Evolutionary Computation and Control Instrumentation Networks and Software
Fuzzy Control Intelligent Components for Control
Genetic Algorithms Mechanical, Force and Tactile Sensors
Hybrid Learning Systems Modelling, Analysis and Control of Discrete-event Systems
Intelligent Fault Detection and Diagnosis Modelling, Analysis and Control of Hybrid Dynamical Systems
Knowledge-based Systems Applications Nonlinear Signals and Systems
Machine Learning in Control Applications Optimization Problems in Signal Processing
Neural Networks based Control Systems Real-Time Systems Control
Optimization Algorithms Sensors Fusion
Planning and Scheduling Signal Reconstruction
Soft Computing System Identification