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• Digital Systems Lab:Ìý The humankind is advancing faster technologically than ever before with the help of computers. The digital systems are everywhere, from your dishwasher and wristwatch to the Mars rovers, and everything in between. The Digital Systems Lab (DSL) at Khalifa University is a state-of-the-art laboratory dedicated to education and research in advanced digital systems design. The DSL supports the hardware needs of capstone projects for senior undergraduate students. The research portfolio of DSL spans projects in IoT communication, hardware security, edge computing, embedded intelligence, and medical wearables.
• Embedded Systems and Real-time Imaging Lab

  In this lab, several research activities are conducted in the areas of real-time machine vision systems, smart sensors, and dedicated embedded systems. This includes hardware accelerators using at the edge using very powerful GPU and FPGA devices, next generation vision systems for autonomous vehicles, Real-time electrical tomography, Real-time e-skins, and multiphase flow measurements. Operational prototypes related to each of these activities were built along with several US patents and publications in Q1 journal papers.

• Communication and Signal Processing: is concerned with the transmission, storage, and analysis of information signals.
• Wireless Communication 6G

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The Electrical Engineering department at Khalifa University of Science and Technology leverages the research expertise, facilities, and personnel to achieve operational efficiency and synergy in research of relevance to the UAE, with the following mission:

• To establish and continually evolve collaborative research and development capabilities in the UAE’s priority science and technology domains
• To achieve global research impact through excellence in research of regional importance

The department’s world-class faculty and researchers guide its undergraduate and graduate students in challenging projects that respond to the UAE’s strategic economic goals. The many research centers feature projects that involve industry, government and other universities working together in pursuit of scientific and technical advancement in sectors of relevance to the UAE’s high-tech knowledge economy. Our faculty and research personnel are also supported by the the Petroleum Institute and the Robotics and Intelligent Systems Institute.

Department documents indexed in Scopus (as of September 2024):

EE Publications Overview 2020 – 2024

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Scholarly Output

Outputs in Top 10% Citation Percentiles (field-weighted)

*Share of publications that are among the most cited publications worldwide field-weighted. *162 (18.6%) publications in the top 10% most cited publications worldwide

Share of publications that are in the top journals by CiteScore Percentile

International, national and institutional collaboration in 2020 – 2023

Funding

Some of our past and current funding sources (other than internal funding):

National Funding –ÌýAbu Dhabi National Oil Company, Abu Dhabi University, Abu Dhabi Technology Development Company, Abu Dhabi Tourism Authority, Abu Dhabi Education Council, AL Jalila Foundation, Emirates Institution for Advanced Science and Technology, ICT Fund, Mubadala Technologies, National Research Foundation, Takamul, Strata-Mubadala.

International Funding –ÌýCatalyst Fund, Earth Environmental Services WLL, GlobalFoundries, Global Green Growth Institute, KOMIS Consortium, Mascara Nouvelles, MITCAS-Canada Technologies, National Grid-UK, NSERC-Discovery/CRC – Canada, Office of Naval Research-Global, Qatar National Research Fund, Qualcomm, Semiconductor Research Corporation, Terry Fox Foundation, TSB/Advantage W.Midlands, U.S. Airforce, Western Power Distribution Company (South West) PLC.

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Computer Science research has been pivotal in creating transformative technologies. These innovations include artificial intelligence that powers everything from personal assistants to life-saving medical diagnostics, blockchain technologies that ensure secure and transparent transactions, and quantum computing which promises to solve complex problems beyond the reach of current computers. The impact of these advancements is vast, improving efficiency, accessibility, and enabling us to tackle global challenges like climate change and resource management more effectively.

As our world increasingly converges towards a digital ecosystem, the demand for skilled computer scientists is skyrocketing. Virtually every industry now relies on computer science expertise to innovate and stay competitive. This reliance is not just in traditional tech sectors but extends to fields such as agriculture where precision farming is revolutionized through data science, or in finance, where fintech and blockchain solutions are reshaping banking and investment.

Our commitment to computer science research is not just about keeping pace with technological advancements; it’s about leading the way. By investing in and fostering research, we are not only contributing to scientific progress but also empowering future generations of computer scientists to envision and create a better world. Collaborative efforts across academia, industry, and government are essential to nurture a vibrant research ecosystem where breakthroughs can be achieved and effectively translated into real-world solutions.

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Revolutionize Networking:ÌýDesign novel protocols and architectures that push the boundaries of network intelligence and autonomy and enable high-bandwidth and ultra-low-latency networks.

Distributed Computing at the Edge:ÌýExplore edge computing paradigms for real-time applications, fog computing for efficient resource allocation, and blockchain-based decentralized networks.

Emerging Technologies:ÌýInvestigate quantum communication, neuromorphic computing, and tactile internet for transformative new applications.

The faculty of the computer science department are involved in the following key research areas:

• Mobile Networks (fifth generation and beyond)
• Distributed Computing Systems
• Cloud and Edge Computing
• Internet of Things (IoT) and Internet of Vehicles (IoV)
• Service and Network Management
• Network Intelligence

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