2nd International Conference on

Machine Learning and Artificial Intelligence

May 29-31, 2025 | Amsterdam, Netherlands

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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
15 October, 2024
Early Bird Registration
10 August, 2024
Conference Dates
May 29-31, 2025

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 Amsterdam, Netherlands 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 Amsterdam.

2nd International Conference and Expo on Machine Learning and Artificial Intelligence which will be held during May 29-31, 2025 at Amsterdam, Netherlands. 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-2025 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-2025 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-2025 in Amsterdam, Netherlands.


Varshitha  |Conference Secretary


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Plenary Speakers

Luke Theogarajan
Luke Theogarajan

University of California

Laura Miller
Laura Miller

CEO of NextGen Ethics

Alfonso Farina
Alfonso Farina

President of the Leonardo Radar & Sensors Academy

Timothy Ugbaja
Timothy Ugbaja

CEO of Tilaverse Inc

Keynote Speakers

Valerio Frascolla
Valerio Frascolla

Director of Research and Innovation at Intel

Hamed Taherdoost
Hamed Taherdoost

University Canada West

Muniba Talha
Muniba Talha

KEA-Copenhagen School of Design and Technology

Xiaoyan Dai
Xiaoyan Dai

Kyocera Corporation

Sadi Alawadi
Sadi Alawadi

Blekinge Institute of Technology

Jixin Ma
Jixin Ma

University of Greenwich

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

Previous Glimpses

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