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Research Area

Systems and Networks

Research on systems and networks focuses on the tangible hardware on which computation occurs and the tangible networks over which information is transmitted, the foundations of computing infrastructure. Researchers in this area develop innovative theories, algorithms, and systems to solve real-world challenges in areas including parallel and high-performance computing, computer networking, cloud computing, computer architecture, and wireless communication.

Research Topics

  • 5G Wireless Networks: The world of wireless communications has undergone revolutionary changes in the forty years since the introduction of the first cellular network. 5G – the fifth generation of wireless communications – is in the early stages of introduction, and it will be a game-changer. 5G will bring significant advances in three areas: connectivity (the number of devices communicating across the network), latency (how long it takes for one device to send information to another across the network) and bandwidth (allowing for high downloading speeds). 5G will improve many people’s personal and work lives, with impacts including increased access to education and healthcare, improved emergency response, and reduced traffic congestion.
  • Cloud Computing: Rapidly moving from an emerging trend to an established technology, cloud computing is internet-based computing, where shared information, software, and resources are provided to portable devices on demand; it offers ubiquitous, convenient, on-demand network access to a shared pool of configurable computing resources (e.g., networks, servers, storage, applications, and services). The cloud is transformative for organizations from all sectors as data analytics, AI, and other capabilities are made available as services via the cloud.
  • Edge Computing: Edge computing is the practice of processing data near the edge of a network where the data is being generated. Typically, IoT data is collected and transmitted to a cloud or data centre to be processed and analyzed, a reliable but time-consuming approach. In edge computing, sensors, controllers, and other connected devices collect and analyze IoT data themselves, or transmit it to a nearby server or laptop for analysis. When data processing and analysis occurs at the edge, the data can be immediately analyzed—and put into action. Benefits of edge computing include lower operating costs, reduced network traffic, and improved application performance.

Faculty


  • Hazem Abbas
    Research Interests:
    • Machine learning model development
    • Neural computing with applications in computer vision, image processing and natural language processing
    • Evolutionary algorithms and their applications in optimal neural network design
  • Yuanzhu Chen
    Research Interests:
    • Computer networking
    • Mobile computing
    • Complex networks
    • Applied machine learning
  • Salimur Choudhury
    Research Interests:
    • Algorithms
    • Network Management and Optimization
    • Healthcare Resource Management
  • Steven Ding
    Research Interests:
    • Data Mining
    • Machine Learning
    • Security
  • Hesham ElSawy
    Research Interests:
    • Joint communication and sensing
    • Edge computing and intelligence
    • Non-terrestrial communications including low-orbital satellites
    • Vehicular communications and networks
    • Massive and sustainable connectivity for the IoT
    • Wireless communications based cybersecurity countermeasures for the IoT
  • Sidney Givigi
    Research Interests:
    • Artificial intelligence
    • Machine Learning (reinforcement learning and deep learning)
    • Autonomous Vehicles
    • Robotics
  • Hossam Hassanein
    Research Interests:
    • 5G wireless sensor networks
    • radio resource management
    • edge computing
    • Internet of things, data-centric networks
  • Mohammad Zulkernine
    Research Interests:
    • Cyber-Physical System (IoT and Vehicle) Security
    • Software Reliability
    • Security Engineering
All Research Faculty
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