(Industry 4.0 projects and beyond)

Theme: Smart City (AI, Deep Learning, IoT, Big Data, Edge Computing, Cloud Computing, and Blockchain)

[The sky is not the limit. Our possibilities are limitless"

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Leila Ismail

Associate Professor, Department of Computer Science and Software Engineering

Founder and Director, Intelligent Distributed Computing and Systems (INDUCE) Research Laboratory

United Arab Emirates University

Welcome to INDUCE Research Laboratory

[The Lab was inaugurated in 2009]

College of Information Technology, United Arab Emirates University

Our Vision:

To advance sustainable, efficient, safe, and privacy-preserving smart cities digital ecosystems, enabled by AI, Deep Learning, Internet of Things (IoT), Big Data, Edge Computing, Cloud Computing, and Blockchain.
To improve quality-of-care and well-being for all by revolutionizing healthcare, and bridging global health inequities.
To align with the United Nations Sustainable Development Goals: Good Health and Well-Being, and Climate Action by developing intelligent, data-driven solutions, enabled by cutting edge technologies (AI, Deep Learning, IoT, Big Data, Edge Computing, Cloud Computing, and Blockchain).
To Contribute to UAE’s Net Zero strategy with green, efficient, and secure digital infrastructures.

Our Mission:

To be a leading inter-disciplinary laboratory excelling in providing intelligent solutions to pressing problems in Smart City, such as Smart Health Sciences and Engineering, Sustainable Development, Artificial Intelligence, IoT, Big Data, Edge Computing, Cloud Computing, and Blockchain.
To create the next-generation technologies in Smart Digital Healthcare and Engineering systems.
To partner and collaborate with leading experts from diverse disciplines to advance smart city applications and systems, in various domain of healthcare, engineering, and sustainable development.

Our Goals:

To pioneer the development of smart health sciences applications, such as patient healthcare, personalized and predictive medicine, public health and epidemiology, smart healthcare systems, and medical imaging.
To be at the frontend for the development of smart solutions for efficient, safe, and privacy-preserving digital autonomous intelligent agents in smart cities.
To lead the sustainable development for a green, efficient, and secure solutions in an IoT, Edge, Cloud Computing, and blockchain infrastructure.

Areas of research interest encompass the following:

Machine learning and deep learning-based power consumption modeling
Sustainable offloading and scheduling in edge and cloud computing systems
Optimizing the performance and energy savings of Smart City applications such as transportation, healthcare, smart homes, and language translation
Smart health sciences
Scalable blockchain for health records management
Artificial Intelligence-based chronic disease prediction and management
Artificial Intelligence for managing infectious diseases

NEW

LATEST NEWS

Research Seminar. Prof. Leila delivered an insightful talk on Quality of Services and Energy-Aware Smart City IoT Intelligence in Integrated Edge & Cloud Computing Systems. [Photos]
Chair of a Special Session at IEEE CloudCom 2024 Prof. Leila organized and chaired a Special Session on “Next Generation Technologies in Smart Digital Healthcare: AI, Edge, Cloud, and Blockchain.” [Photos]
Collaborator Visit, 2024 Prof. Chen-Khong Tham from the National University of Singapore visited our lab. [Photos]
Nomination, 2024 Prof. Leila Ismail is invited to chair the IEEE CloudCom 2024 Cloud Computing and Applications Track
Participation in Abu Dhabi Global Healthcare Week 2024 Prof. Leila participated in the “AI and Healthcare – Building the Future Together” session. [Photos]
Paper presentation, ANT Conference 2024 Prof. Leila presented our award-winning paper, "PowerGen: Resources Utilization and Power Consumption Data Generation Framework for Energy Prediction in Edge and Cloud Computing". [Photos]
Keynote speaker, Griffith University Dr. Leila, keynote speaker at the School of Information and Communication Technology, Griffith University, Australia.
Keynote speaker, the University of Technology Sydney Dr. Leila, keynote speaker at the School of Computer Science and Australian Artificial Intelligence Institute, Faculty of Engineering and Information Technology at the University of Technology Sydney.
Invited Speaker, Western Sydney University, 2023 Dr. Leila delivers a presentation on AI machine learning-enabled approaches for energy-efficient real-time smart city IoT applications to The Smart and Distributed Computing team at Western Sydney University.
Visiting Associate Professor at the University of Melbourne, 2022 Dr. Leila was invited as a Visiting Associate Professor at the School of Computing and Information Systems of the Faculty of Engineering and Information Technology at The University of Melbourne in Australia.

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