International Conference on

Machine Learning and Artificial Intelligence

October 21-23, 2024 | Edinburgh,UK

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Scientific Board

Aim

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.

Objective

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
September 16, 2024
Early Bird Registration
February 16, 2024
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 participants 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.


Sincerely,

Varshitha  |Conference Secretary

ICMLAI-2024


 



 



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Plenary Speakers

Tom Grogan
Tom Grogan

CEO of MDRx
UK

Luke Theogarajan
Luke Theogarajan

University of California
USA

Mehmed M. Kantardzic
Mehmed M. Kantardzic

University of Louisville
USA

Fawzi BenMessaoud
Fawzi BenMessaoud

Indiana University
USA

Xiaohong Wang Gao
Xiaohong Wang Gao

Middlesex University
UK

Amir Hajjam EL Hassani
Amir Hajjam EL Hassani

University of Technology of Belfort-Montbéliard
France

Haibin Zhu
Haibin Zhu

Nipissing University
Canada

Venkata Duvvuri
Venkata Duvvuri

Director of data science at Oracle corporation
USA

 Wei Zuo
Wei Zuo

Chinese Academy of Science
China

Jixin Ma
Jixin Ma

University of Greenwich
UK

Ramesh K. Agarwal
Ramesh K. Agarwal

Washington University
USA

David Chesney
David Chesney

The University of Michigan
USA

Shigang Yue
Shigang Yue

University of Leicester
UK

Amir Atiya
Amir Atiya

Cairo University
Egypt

Shengxiang Yang
Shengxiang Yang

De Montfort University
UK

Manzoor Khan
Manzoor Khan

Head of Autonomous Systems Research Department at Nokia Bell Labs
USA

Keynote Speakers

Lin Chase
Lin Chase

Minnesota State University
USA

Wanyang Dai
Wanyang Dai

Nanjing University
China

Christos Masouros
Christos Masouros

University College London
UK

Pascal Lorenz
Pascal Lorenz

University of Haute-Alsace
France

 Yuan Gao
Yuan Gao

University of Leicester
UK

Valerio Frascolla
Valerio Frascolla

Director Research and Innovation at Intel
Germany

Zhibin Lin
Zhibin Lin

North Dakota State University
USA

Douglas Amante
Douglas Amante

Singapore University of Technology and Design Singapore

 Bo Wang
Bo Wang

University of Leicester
UK

Bernard Chen
Bernard Chen

University of Central Arkansas
USA

Ying Huang
Ying Huang

Chongqing University
China

Guandong Xu
Guandong Xu

Director of Smart Future Research Centre
Australia

Moutaz Alazab
Moutaz Alazab

Al-Balqa Applied University
Jordan

Connie Man-Ching Yuen
Connie Man-Ching Yuen

Hong Kong Shue Yan University
China

Sarita Joshi
Sarita Joshi

Generative AI Specialist with Google Healthcare and Life Sciences organization
USA

Biswajeet Pradhan
Biswajeet Pradhan

University of Technology
Australia

Chaker Essid
Chaker Essid

Director of the Computer Science Department,El-Manar University
Tunisia

Abdel-Badeeh Mohamed  Salem
Abdel-Badeeh Mohamed Salem

Founder &Head of AI and Knowledge Engineering Research Labs
Egypt

Wenwu Wang
Wenwu Wang

University of Surrey
UK

Invited Speakers

Borondo Javier
Borondo Javier

CEO at Agrowing Data
Spain

Xiaoyan Dai
Xiaoyan Dai

Kyocera Corporation
Japan

Vinod Mishra
Vinod Mishra

Team Leader at US Army Research Laboratory
USA

Oluwole Fagbohun
Oluwole Fagbohun

Change Block Holdings
UK

ShohrehGhasemi
ShohrehGhasemi

Augusta University
USA

Saad Abouzahir
Saad Abouzahir

University Cadi Ayyad
UAE

Ankush Singal
Ankush Singal

Data Science Manager
USA

Francisco José Ruiz
Francisco José Ruiz

University of Malaga
Spain

Ahmad Althunibat
Ahmad Althunibat

Al-Zaytoonah University
Jordan

Steven Dewitte
Steven Dewitte

Vrije Universiteit Brussel
Belgium

Anandaganesh Balakrishnan
Anandaganesh Balakrishnan

AI & Data Engineering
USA

Meghana Kshirsagar
Meghana Kshirsagar

University of Limerick
Ireland

Daniel Dopazo
Daniel Dopazo

University of Exeter
UK

Mudassir Shams
Mudassir Shams

Free University of Bozen
Italy

Ahmed J. Abougarair
Ahmed J. Abougarair

University of Tripoli
Libya

Tien Anh Tran
Tien Anh Tran

Seoul National University
South Korea

Farah Jemili
Farah Jemili

University of Sousse,
Tunisia

Scientific Sessions
  • Deep Learning and Computational Intelligence
  • Natural Language Processing
  • Machine Learning and Artificial Intelligence
  • Robotics and Chat bots
  • Grid, Mobile and Evolutionary Computing
  • Democratized and Ethics of AI
  • Image and Speech Recognition
  • Adaptive Automation in Engineering using Intelligence
  • Neural Networks and Recurrent Networks
  • Dynamical and Generative Models
Scientific Sessions
  • Networking Protocols, Routing, Algorithms
  • Artificial Intelligence in Life Sciences: Biotechnology, Pharmaceutical and Health Care
  • Surgical Robot Theory and Application
  • AI and Robotics in Space Exploration
  • Data mining and Network Security
  • Safe Computing and Cyber Intelligence
  • Algorithms, Network Processing, Sensor and Bluetooth Networks
  • Signal Processing and Control Algorithms
  • Biomedical Engineering
  • Transfer and Ensemble Learning

Previous Glimpses

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   Conference alerts offer you complete information about recent & upcoming international conferences, events, seminars, and webinars in 2024. We have more than 100,000 registered subscribers from diverse academic and non-academic backgrounds, including industry experts, seasoned professors, and researchers from various universities. Our platform serves as a bridge, connecting conference and event organizers with the ideal audience, ensuring the best return on investment. With ConferenceAlert.com, detailed information about your conference or event is just a few clicks away. Join us today and get free conference alerts of your choice!

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