Welcome to the official website of The International Conference on Artificial Intelligence Management and Trends (ICAIMT). It will be held between May 21- 22, 2025 at the Abu Dhabi School of Management (ADSM) campus in Abu Dhabi, UAE. ICAIMT is a specialized conference on AI, AI management , trends, and analytics that serves as a vital platform for exploring the latest advancements and understanding how these technologies are reshaping multiple sectors.

ICAIMT brings together industry experts, researchers, and practitioners to discuss applications, trends, and breakthroughs in AI technology and its various applications, ranging from generative AI, machine learning, Open AI to deep learning and natural language processing.

The discussions around AI trends, including automation, edge computing, and ethical AI, show how these developments can be applied to solve real-world challenges. By providing useful insights into the data that support these AI technologies, ICAIMT conference highlights the tools and methods that enable businesses to make data-driven decisions, increase operational efficiency, and innovate within their industries.

Submission Guidelines

All papers must be original and not simultaneously submitted to another journal or conference. T

How to submit a paper?

All submissions to the ICAIMT conference should be done online via JIKM’s Editorial Manager (EM).

1. Create account on JIKM editorial submission system; register at:

          https://www.editorialmanager.com/jikm/default2.aspx

1. In the manuscript document: Insert ICAIMT abbreviation as the first word in the title of the submitted manuscript;

Example:  ICAIMT- paper title  

1. Prepare a simple cover letter and mention in it that the submitted paper is intended for the ICAIMT special issue.
2. Choose from the dropdown list of JIKM the type of the paper (research, review)
3. Proceed with the remaining steps and submit the paper

Remember: Ensure that the conference abbreviation (ICAIMT) is the first keyword in the paper’s title

List of Topics

• AI Governance and Ethics

• AI in Business Operations

• AI and Sustainable Development

• AI tools and applications

• AI-Driven Innovation in Emerging Markets

• Open AI and Generative AI

• Conceptual AI Frameworks

• Data Analytics and Visualization

• Predictive Analytics and Machine Learning Techniques 

• AI Algorithms and Applications

• AI for Healthcare 

• Sustainable AI

• Strategic AI Leadership

• Emerging Trends in AI and Management 

Committees

Program Committee

• Dr Marc Poulin (General Chair)
• Dr Fadi Fayez (Program committee Chair) 

        Program Committee

• Dr. Heba Mohammad, HCT, UAE
• Dr. Awani Kumar, Vellore Institute of Technology, Vellore, India
• Dr. George Tsaramirsis, Wollongong University, Australia
• Dr. Issa Qabaja, Philadelphia University, Jordan
• Dr. David Peebles, University of Huddersfield, UK
• Dr. Anjum Razzaque, Al-Ahlia University, Bahrain
• Dr. Yousef Daradkeh, Prince Sattam bin Abdulaziz University (PSAU) – KSA
• Dr. Hussein Abduljaber, Arab Open University, KSA
• Dr. Joan Lu, Huddersfield University, UK
• Dr. May Al-Nashashibi, Petra University, Jordan
• Dr. Mohamed Salem, DRE, Dubai
• Dr. Wael Hadi, University of Petra, Jordan
• Dr. Ankur Singh Bist, KIET, Ghaziabad, India
• Dr. Zuhaira Muhammad Zain, Princess Nourah Bint Abdulrahman University, KSA
• Dr. Francesco Appio, Paris School of Business, France
• Dr. Enrico Formenti, Université Côte d’Azur, France
• Dr. Vassilios Kovanis, Virginia Tech, US
• Dr. Davide La Torre, SKEMA Business School, Université Côte d’Azur, France
• Dr. Rita Zgheib, CUD, rita.zgheib@cud.ac.ae
• Dr. David Airhrour, Unitec, New Zealand
• Dr. Emin Civi, University of New Brunswick, Canada
• Dr. Leonardo Ochoa Aday, Barcelona Tech University, Spain
• Dr. Mohamed Yunus, Universiti Tenaga Nasional (Uniten), Malaysia
• Dr. Hussein Abu Mansour, Naif Arab University for Security Sciences
• Dr. Firuz Kamalov, Canadian University Dubai, UAE
• Dr. Mofleh Al-Diabat, Al al-BAYT University, Jordan
• Dr. Said Baadel, Canadian University Dubai, Dubai, UAE
• Dr. Mohammad Ashour, AlMansoura University, Egypt
• Dr. Samah Ridha, Manukau Institute of Technology, New Zealand
• Dr. Allam Hamdan, Al-Ahlia University, Bahrain
• Dr. Reza Shahamiri, University of Auckland, New Zealand
• Dr. Khairan Rajab, Najran University, KSA
• Dr. Mohd Salihan Ab Rahman, HCT Abu Dhabi, UAE
• Dr. Anang Hudaya Muhamad Amin, HCT Dubai, UAE
• Dr. Nazean Jomhari, University of Malaya, Malaysia
• Dr. Ahmad Sufril Azlan Mohamed, Universiti Sains Malaysia, Malaysia
• Dr. Shahrul Badariah Mat Sah, University of Wollongong in Dubai, UAE
• Dr. Hatem Masri, Applied Science University, Kingdom of Bahrain
• Dr. Giancarlo Succi, University of Bologna, Italy
• Dr. Masahiro Okuda, Doshisha University, Japan
• Dr. Wajid Aziz, Azad Jammu and Kashmir University, Pakistan
• Dr. Linda Smail, Zayed University, linda.smail@zu.ac.ae

Organizing committee

• Dr Neda Abdelhamid (Chair)

Invited Speakers

• Professor David Peebles, University of Huddersfield, UK
• Professor Eyad Elyan, UK
• Professor Firuz Kamalov, CUD, UAE 

Publication

CAIMT2025 proceedings will be published in Journal of Information & Knowledge Management.

Publication & Indexes: Indexed by Scopus with accepted papers to be published by Journal of Information and Knowledge Management (JIKM) issue by World Scientific.  In terms of impact metrics, JIKM has an h-index of 27, indicating that 27 of its articles have been cited at least 27 times. Its SCImago Journal Rank (SJR) is 0.27, reflecting its influence in the academic field, while its CiteScore is 1.8, measuring the average citations per document. Additionally, JIKM's Impact Factor (IF) is 1.30, as of 2023.

Venue

The conference will be held in Abu Dhabi School of Management (ADSM) at the center of Abu Dhabi city. The department of Business Analytics at ADSM and  Artificial Intelligence Management Institute (AIM) will host the conference and provide all logistic support. One of the aims of the Business Analytics department  is to equip national and international students with up-to-date necessary skills in Data Analysis and AI tools to produce graduates that hold problem-solving skills and technical skills relevant to industry demand. The faculty offers a range of dynamic, technology-driven programs based on international applied curriculum and education principles

Contact

All questions about submissions should be emailed to Dr Neda Abdelhamid (email):  n.abdelhamid@adsm.ac.ae

Sponsors