Faculty Area: Computer Science and Artificial Intelligence

Morshed: A personalized and multimodal ubiquitous indoor navigation system

Reliable indoor navigation remains an unsolved problem. Despite extensive academic research and rapid advances in sensing and artificial intelligence, there is still no practical indoor navigation solution that matches the…

Adaptive multimodal sensing for context-aware intelligent monitoring

Smart environments equipped with heterogeneous sensors—wearables, cameras, microphones, and ambient devices—generate continuous streams of multimodal data that can enable intelligent monitoring of human health, behavior, and well-being. However, current multimodal…

Vision language model optimization

Vision-Language Models (VLMs) and Diffusion Models (e.g., Stable Diffusion) have revolutionized multimodal AI(image, vido, text, audio, …). However, two critical barriers prevent their effective deployment in the Arab region: 1.…

DalilSENSE: A privacy-preserving wearable device for narrated indoor scene understanding for blind and low-vision individuals

In this proposal, we design and develop DALILSENSE, a wearable multimodal sensing and perception system for indoor scene understanding and assistive awareness. Navigating and understanding indoor environments remains challenging, particularly…

Unicellular: Towards ubiquitous and deployable context aware systems leveraging cellular infrastructures

The proliferation of various IoT devices equipped with a wide range of sensors, more powerful hardware, along with enhanced machine learning techniques, are all catalysts driving the development of various…

Maker culture and computation: Integrating tangible artifacts for K12 curricula

This project aims to enhance computational thinking (CT) and computer science (CS) education in K12 classrooms by developing and testing tangible, maker-focused activities. While traditional maker experiences often emphasize creativity…

E-Rshad: Enabling inclusive indoor navigation for individuals with visual impairments

This project aims to develop e-Rshad, a conversational and adaptive navigation system designed for individuals with visual impairments. Its purpose is to enhance their navigation experience in complex public spaces…

Autonomous PV cleaning and inspection system for hot desert weather conditions

Located in a typical desert climate zone, Qatar has special geographic conditions such as strong solar irradiance, long daily sunshine time, low-cloud cover conditions, and plentiful space. These unique conditions…

Smartedge: Towards deployable edge-based indoor context aware systems

We propose SmartEdge, an integrated architecture and system that leverages IoT devices, beyond the edge, to enable next generation deployable, compute intensive, and privacy preserving contextaware applications. SmartEdge will enable…

Greenhouse-5.0: AI robotics for automated data collection, analytics, and decision support in greenhouse farming

Greenhouse farming plays a key role towards Qatar’s self-sufficiency in food production and is actively promoted by the government. Based on these facts and aligning to the global trend for…