International Conference on

Machine Learning and Artificial Intelligence

October 21-23, 2024 | Edinburgh,UK

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Scientific Board


Our aim to bring together leading academic scientists, researchers and research scholars to exchange and share their experiences and research results on all aspects of Machine Learning and Artificial Intelligence.


To provide a premier interdisciplinary platform for researchers, practitioners and educators to present and discuss the most recent solutions adopted in the fields of Machine Learning and Artificial Intelligence.

Dates to remember

Abstract Submission Deadline
March 16, 2024
Early Bird Registration
December 10, 2023
Conference Dates
October 21-23, 2024

About Conference

A warm welcome to the renowed personalities!

On behalf of the Organizing Committee we take great pleasure to cordially welcoming you all academic scientists, researchers, research scholars, students and experts of application fields to EDINBURGH,UK for the Global Conference on Machine Learning and Artificial Intelligence conference to foster the progress in the field by contributing with your expertise to what promises to be a very comprehensive and exciting meeting, and to enjoy the immense unique artistic heritage and wonderful landscape of Edinburgh.

International Conference and Expo on Machine Learning and Artificial Intelligence which will be held during October 21-23, 2024 at Edinburgh ,UK. ICMLAI is an established event, attracting global participant’s intent on sharing, exchanging and exploring new avenues of Material Learning and Artificial Intelligence related research and latest developments. The event will have world level (Highly cited class) Plenary Speakers, established Keynote speakers, active Invited speakers and fresh contributed speakers. In addition, variety of poster presentations along with workshops and special sessions would be interested in audience.

The aim of the ICMLAI-2024 is to promote quality research and real-world impact in an atmosphere of true international cooperation between scientists and engineers by bringing together again the world class researchers, International Communities and Industrial heads to discuss the latest developments and innovations in the fields of Machine Learning and Artificial Intelligence.

We sincerely hope that ICMLAI-2024 serves as an international platform for meeting researchers from around the world, widen professional contact and create new opportunities, including establishing new collaborations.

We look forward to seeing you in ICMLAI-2024 in Edinburgh, UK.


Varshitha  |Conference Secretary




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Plenary Speakers

Michele Sebag
Michele Sebag

Senior researcher at CNRS

Fawzi BenMessaoud
Fawzi BenMessaoud

Indiana University

Haibin Zhu
Haibin Zhu

Nipissing University

Venu Govindaraju
Venu Govindaraju

Director of NSF Center for Identiification Technology Research

Keynote Speakers

Pascal Lorenz
Pascal Lorenz

University of Haute-Alsace

Shuanghua Yang
Shuanghua Yang

Head of Department of Computer Science, University of Reading

Kenji Suzuki
Kenji Suzuki

Professor and Founding Director of Biomedical Artificial Intelligence

Guandong Xu
Guandong Xu

Director of Smart Future Research Centre

Hoshang Kolivand
Hoshang Kolivand

Liverpool John Moores University

Aditya Mathur
Aditya Mathur

Founding Centre Director of iTrust

Valerio Frascolla
Valerio Frascolla

Director of Research and Innovation at Intel Labs

Matteo Ciprian
Matteo Ciprian

Machine Learning & Sensor Fusion Engineer at Focal Point Positioning

Wanyang Dai
Wanyang Dai

Nanjing University

Invited Speakers

Pavel Brazdil
Pavel Brazdil

University of Porto

Scientific Sessions
  • Robotics and Chat bots
  • Evolutionary Computing
  • AI-enabled conceptual design
  • Automated machine learning
  • Multi-modal learning
  • AI-based cyber security
  • Democratized AI
  • Deep Learning
  • Quantum machine learning
  • Generative adversarial networks
  • Image and Speech Recognition
  • Natural Language Processing
  • Adaptive Automation in Engineering using Intelligence
  • Safe Computing
  • Cyber Intelligence
  • High Performance Computing
  • Neural Networks
  • Grid Computing
  • Mobile Computing
  • Mobile Databases
  • Multimedia and VoIP Services and Technologies
  • Networking Protocols, Routing, Algorithms
  • Network Security
  • Parallel and Distributed Architectures and Algorithms
Scientific Sessions
  • Reliability and Fault-Tolerance
  • VLSI for Network Processing
  • Wireless Ad Hoc Sensor and Bluetooth Networks
  • Internet Technologies
  • Signal Processing
  • Biomedical Engineering
  • Control Algorithms
  • Transfer Learning and Ensemble Learning
  • Recurrent Neural Networks (RNN)
  • Support Vector Machines (SVMs)
  • Machine Learning System Design
  • Machine Learning Optimization
  • Supervised Learning and Unsupervised Learning
  • Adversarial Machine Learning
  • Ethics of AI
  • Recurrent Networks
  • Dynamical Models
  • Generative Models
  • Kernel Methods
  • Bayesian Networks
  • Data mining
  • Computational Intelligence

Previous Glimpses

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