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Honors & Awards

My capstone project was accepted at IEEE Smart World Congress

JUN 2023

IEEE Smart World Congress is a leading conference curating cutting-edge content for all the technical fields of interest within IEEE for the engineering and technology community worldwide. 2023 IEEE Smart World Congress will be held at the University of Portsmouth, UK on 28th-31st, August, 2023.

Research Title: EMT VR – A Gamified Emergency Response Training System Using Virtual Reality and Artificial Intelligence

Check the Capstone paper, videos, and screenshots of the game please check:

OneDrive link 🔗 

1st Place in the 10th UG Research Competition | Abu Dhabi University

MAY 2023

My smart fitness application, Li-Vida, achieved first place in Abu Dhabi University's 10th undergraduate research competition for environmental engineering. It contributes to the global sustainability goals by promoting physical literacy. 


Research Title: The Role of Smart Fitness Applications in Promoting Physical Literacy 

GitHub link 🔗 

OneDrive link 🔗 

3rd Place Prize in the 10th UG Research Competition | Abu Dhabi University

MAY 2023

Research Title: Eco-EMT VR (Eco-friendly Gamified Virtual Reality Emergency Response Training System to Reduce Environmental Hazards in Emergency Response Training)

GitHub link 🔗 

OneDrive link 🔗 

1st Place in the Cyber Drill Competition| Cyber Security Council (GITEX 2022)

OCT 13TH 2022

Received the award at the Cyber Drills Awards Ceremony at GITEX 2022 in Dubai.

GitHub link 🔗 

OneDrive link 🔗 

Best Web Design Practice & Implementation | Abu Dhabi University

OCT 13TH 2022

Web design course projectd competition 

GitHub link 🔗 

OneDrive link 🔗 

3rd Place Prize in the 9th UG Research Competition| Abu Dhabi University

MAY 2022

My AI-powered Android app, WellACTIVE, won 3rd place at Abu Dhabi University's 9th undergraduate research competition in software engineering. The competition included 55 universities and 320 projects from the GCC and MENA region.

Project Title: Move-for-Wellness: An Adaptive Activity Recognition and Recommendation Framework using Machine Learning and Cell Phone Sensory Data.

GitHub link 🔗 

OneDrive link 🔗 

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