AIMI (Renamed after update 31-jul-2025) - Abu Dhabi School of Management

Welcome to the

Artificial Intelligence Management Institute

" AI will change and transform management models. ADSM supports Abu Dhabi's vision in creating a strong and interdisciplinary AI-related research environment that will benefit the UAE and its society"

President , ADSM

Supporting UAE
AI Strategy 2031

ADSM strives in achieving UAE AI strategy with its Artificial Intelligence Management Institute (AIM).

Rapid advancements in AI create new economic and social opportunities for most organizations in the UAE. ADSM’s AIMI will contribute to develop emerging AI Technology ecosystems to solve complex management problems. The institution will support AI management research, academic programs and training to educate new generations on the crucial role played by AI in business and management.The AIMI will facilitate the creation of a strong and interdisciplinary AI-related research environment beyond Machine Learning and Pattern Analysis. It will stimulate new proposals to answer local and international research calls and foster the creation of flagship AI academic programs for managers. Such initiatives will motivate and provide structure to ADSM faculty in their internal and international research initiatives. The AIMI will seek to create an international network of institutions from both academia and industry to support the management of AI.Students acquiring knowledge towards their life-long learning can especially benefit from ADMS’ unique Business Analytics program. The introduction of program concentrations in Business Analytics and Artificial Intelligence allows students to specialize in their area of interests. Furthermore, the AIMI will offer certificates in AI related topics, which can be fully customizable for the audience needs.

AIMI Overview

The ADSM Artificial Intelligence for Management Institute (AIMI) is a research institute of ADSM located in Abu Dhabi whose main mission focuses on Artificial Intelligence and Analytics.

The AIMI Institute focuses on Artificial Intelligence and Data Analytics techniques for problem-solving and decision-making with applications to a variety of domains, including energy, health, finance, supply chain, and operations. Areas of interest also includes data and information systems, business analytics and data intelligence, machine learning, deep learning, neural networks, interpretable AI, data science, ethics, engineering, and many others. The AIMI Institute fosters the creation of partnerships and joint projects with organisations specialized in AI, analytics, business intelligence solutions or in adapting such solutions, and focuses on the development of tools, algorithms, methodologies, models, and solutions for companies. Beyond internships and job opportunities, the typical outcome of joints projects is the ad-hoc development and implementation of innovative AI models and analytics techniques.The AIMI Institute supports the understanding and the usage of AI and analytics tools through focused conferences, workshops, certificates and seminars. It provides insights and contributes to the debate on the impact of AI methods and technologies through press releases, media coverage and scientific articles.

Organizing
Committee

Scientific
Committee

Industry
Committee

AI Summer Research
Assistance Initiative 2026

Applications Now Open

AIMI at ADSM invites undergraduate students in the UAE to apply for the AI Summer Research Assistance Program, a 6–8 week hybrid research experience focused on AI and machine learning.

Participants will work on hands-on projects under expert mentorship in areas such as machine learning, NLP, computer vision, and data analytics. The program offers skill development, networking, and a certificate of participation.

Eligibility: Open to UAE-resident undergraduates from any discipline. Basic programming knowledge is preferred; interest in AI is essential.

To apply, email you CV, Statement of Interest, and Brief project idea, to Dr. Ishtiaq Rasool Khan (i.khan@adsm.ac.ae)

Deadline: 31 May 2026

Program Dates: Flexible within 1 June – 30 July 2026

Main Research
Directions

Machine Learning Applications Medical Images’ Quality Assessment

Accurate medical image quality assessment is crucial for reliable diagnosis, but subjective evaluation is time-consuming. To address this, we extract features like entropy, structural intensities, and gradients, and use them to train machine learning models that objectively assess image quality. These models can assist clinicians by quickly evaluating new images and supporting improved imaging and diagnosis.

Role of Artificial Intelligence in the Enabling Sustainable Supply Chain Management during Pandemics, Disruption, and Resilience

AI and ML tools have had a great impact on supply chain from different perspectives. Advantages to applying AI to modern supply chain challenges include: end-to-end visibility enhanced with near real-time data, actionable analytic insights based on pattern identification, reduced manual human work, informed decision making augmented by machine learning, AI-driven predictions and recommendations, accurate demand forecasting and warehouse supply and demand management, routing efficiency and delivery logistics, health and longevity of transportation vehicles, efficiency and profitability of loading processes, cost-saving and revenue-increasing methods.

Neural Network Architecture for Financial Forecasting

The development of machine learning based models to predict the movement of a financial market has been a challenging problem due to the low signal-to-noise ratio under the effect of an efficient market. This project focuses on new neural architectures for the movement prediction of stock market indices using technical indicators as inputs. The new proposed approach formulates the neural architecture search as a multi-criteria optimization problem to balance the efficacy with the complexity of architectures.

Machine Learning Algorithms for Electricity Forecasting

Large-scale data analysis is growing at an exponential rate as data proliferates in our societies. This abundance of data has the advantage of allowing the decision-maker to implement complex models in scenarios that were prohibitive before. At the same time, such an amount of data requires a distributed thinking approach. In fact, Deep Learning models require plenty of resources, and distributed training is needed. We propose a Multicriteria approach for distributed learning. This project focuses on new Deep Learning approach in electricity demand forecasting.

Federated Machine Learning with Multiple Datasets in Cancer Detection and Prediction

Cancer detection has been improved using a variety of Machine Learning and Deep Learning techniques. Federated Learning is a distributed learning technique that allows models to be trained on a vast set of decentralized data. This project focuses on a new Multiple Criteria Optimization approach for Federated Learning. Numerical experiments also demonstrate the efficacy of this strategy in terms of performance and accuracy.

Certificates and
Programs

The AIMI Institute at ADSM School of Management offers training in AI for Management and any related domains. Each of the following program can be customized on specific applications of AI to different domains.

Executive Certificate in AI for Business

Executive Certificate in AI for Healthcare and Medicine

Executive Certificate in AI for Finance

Executive Certificate in AI for Supply Chain Management

Partners

Driving technology for leading brands

Noor AI

Monthly Newsletter

A newsletter designed to enlighten readers on the latest trends, innovations, and applications of artificial intelligence (AI). Noor, meaning “light” in Arabic, symbolizes our mission to illuminate the path forward for AI executives and enthusiasts alike. Each edition features insightful interviews with AI leaders, expert analysis of emerging technologies, and practical tools that executives can use to drive success in their organizations. Noor AI is your go-to source for staying ahead in the fast-evolving world of AI, ensuring you are equipped to navigate the future with confidence and clarity.

Get In touch

Submit your industry problem.

+971 2 691 7811

available from 09:00 – 18:00

Address
P.O. Box 6844
Abu Dhabi, United Arab Emirates

Email aimi@adsm.ac.ae

Welcome to the

Artificial Intelligence Management Institute

Supporting UAE AI Strategy 2031

AIMI Overview

Organizing Committee

Dr. Ishtiaq Rasool Khan

Dr. Neda Abdelhamid

Dr. Evi Mansor

Scientific Committee

Prof. Francesco Appio

Prof. Enrico Formenti

Prof. Vassilios Kovanis

Prof. Davide La Torre

Prof. Hatem Masri

Prof. Giancarlo Succi

Professor Masahiro Okuda

Professor Wajid Aziz

Industry Committee

Adam Riccoboni

GUILLAUME SAFAH

Marco Repetto

Dr. Naveed Afzal

AI Summer Research Assistance Initiative 2026

Main Research Directions