3rd International Conference on Artificial Intelligence and Machine Learning(CAIML 2022)

July 23~24, 2022, Toronto, Canada

SCOPE

3rd International Conference on Artificial Intelligence and Machine Learning (CAIML 2022) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and Machine Learning. The Conference looks for significant contributions to all major fields of the Artificial Intelligence, Machine Learning in theoretical and practical aspects. The aim of the Conference is to provide a platform to the researchers and practitioners from both academia as well as industry to meet and share cutting-edge development in the field.


Authors are solicited to contribute to the conference by submitting articles that illustrate research results, projects, surveying works and industrial experiences that describe significant advances in the following areas, but are not limited to.

TOPICS OF INTEREST

Artificial Intelligence

  • AI Algorithms

  • Artificial Intelligence Tools and Application

  • Automatic Control

  • Bioinformatics

  • CAD Design and Testing

  • Computational Theories of Learning

  • Computer Vision and Speech Understanding

  • Data Mining and Machine Learning Tools

  • Fuzzy Logic

  • Heuristic and AI Planning Strategies and Tools

  • Hybrid Intelligent Systems

  • Information Retrieval

  • Intelligent System Architecture

  • Knowledge Representation

  • Knowledge-based Systems

  • Mechatronics

  • Multimedia & Cognitive Informatics

  • Natural Language Processing

  • Neural Networks

  • Parallel Processing

  • Pattern Recognition

  • Pervasive Computing and Ambient Intelligence

  • Programming Languages

  • Reasoning and Evolution

  • Recent Trends and Developments

  • Robotics

  • Semantic Web Techniques and Technologies

  • Soft computing theory and Applications

  • Software & Hardware Architectures

  • Web Intelligence Applications & Search

    Machine Learning

  • Applications

  • Learning in knowledge-intensive systems

  • Learning Methods and analysis

  • Learning Problems

Paper Submission

Authors are invited to submit papers through the conference Submission System by CLOSED. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this conference. The proceedings of the conference will be published by Computer Science Conference Proceedings in Computer Science & Information Technology (CS & IT) series (Confirmed).


Selected papers from CAIML 2022, after further revisions, will be published in the special issue of the following journals

COURTESY

SUPPORTED BY

INVITED TALK

DAVID C. Wyld

Southeastern LouisianaUniversity,

USA

CONFERENCE PROCEEDINS

Hard copy of the proceedings will be distributed during the Conference. The softcopy will be available on AIRCC digital library.

Speakers

Akash Jadhav

noque.store, India

Justin Li

Coding Minds, USA

Vuong Nguyen

Augustana College, USA

Ivy Chen

USA

Joyce Zheng

USA

Ruoxi Ding

USA

Yang Tan

Shenzhen Qianhai Xinxin Digital Technology Co.,Ltd, China

Yasir Al-Qaraghuli

University of Guelph,

Canada

Chi-Cheng Cheng

National Sun Yat-Sen University,

Taiwan

Ruiqi Xia

Information Engineering University, China

Kambey Lotoishe Kisambu

University of Dodoma,

Tanzania

Kamal Medjaher

National Engineering School at Tarbes,

France

Trishla Shah

Dalhousie University, Canada

Mehdi Mekni

University of New Haven, USA

Mohamed Essam Ahmed Medany

Alexandria University, Egypt

DeJean Clarence Dunbar

Charleston Southern University, USA

Haolin Xie

USA

Janaki Raman Palaniappan

Brunswick Corporation, USA