Supervised Graduate & Undergraduate Students

Master's Students
  1. Jayroop Ramesh, (Oxford University) August 2022
    Deep Learning to Assess the Correlation Between Obstructive Sleep Apnea and Mental Health

  2. Yazan Jian, December 2021
    A Machine Learning Approach to Predicting Diabetes Complications

  3. Areej Mohammed (IBM), June 2021
    Security of IoT Edge devices using Blockchain

  4. Shams Shabsough, June 2020
    Security Assessment of Low-Resource Edge Devices for IoT Systems

  5. Ahmad Osman, July 2018
    Optimization of Energy Consumption in Cloud Computing Datacenters

  6. Fatima Zubaydi, June 2016
    A Framework For Detecting Chronic Obstructive Pulmonary Disease (COPD) Using Smartphones

  7. Mohammed Eqbal (Grand Capital), June 2014
    An Implementation of a Dual-Processor System on FPGA

  8. Mamoun Al-Mardini (University of North Carolina at Charlotte - PhD Student), June 2013
    A Framework For Screening and Classifying Obstructive Sleep Apnea Using Smartphones

  9. Syed Zahidi (IBM - Web and Social Business Manager), January 2012
    MANET Cluster Optimization Using ILP/SAT Techniques
Master's Thesis Committee Member
  1. Shaikha Aldoukhi (AUS), December 2020
    Exploratory Educational Analytics of UAE PISA Test Results

  2. Nafisa Ahmed (UoS), May 2019
    Program-Flow Attestation of IoT Applications

  3. Amro Al-Radaideh (AUS), January 2015
    Fuzzy Logic Based Algorithm for Wireless Bridge Monitoring

  4. Khouloud El Jil (Zabeel Ladies Club), April 2014
    Predicting Hypoglycemia in Diabetic Patients Using Machine Learning Techniques

  5. Ahmed El Zarka (Samsung), January 2014
    Developing Quantitative Assessment Metrics for Determining the Intelligence Level of a Human-Computer Interface

  6. Sameer Alawneh (AUS), June 2013
    Modeling Smartphone Power

  7. Ali Darwish (The University of Alabama in Huntsville), June 2013
    Biometric Identification Based on Eye Movements and Iris Features Using Task-Driven and Task-Independent Stimuli
Undergraduate Students
  1. Keshav Ramesh, Anna Yakoub, Youssef Ghoneim, Rehab Korabi, 2023
    Leveraging IoT and Machine Learning for Enhances Sleep Quality in Dementia Patients

  2. Abdul Muqeet, Abdulla Khoori, Nancy Dawleh, Yousuf Zahid, 2022
    Medical Data Application for Efficient Ambulance Services

  3. Hussein Abdallah, Karim Hodroj, Ismat Maarouf, Kareem Sabea, 2021
    Detecting Mental Health using Mobile Phones

  4. Mais Al Atallah, Hania Khafagy, Mehnaz Ummar, Zainab Jamil, 2021
    Smart Monitoring System for Stroke Rehabilitation
    Won a AUS Undergraduate Research Grant (URG), 2021.

  5. Aamna Ali, Avantika Poddar, Fatima Irfan, Mohammad Imran, 2021
    Intelligent Detection of TV Viewer Engagement using Body Language
    Won a AUS Undergraduate Research Grant (URG), 2021.

  6. Abdel Rahman Hamdan, Feraas Tayeh, Sionell Tom, Imad Gharbi, 2020
    Combating Cyber Bullying Using Machine Learning and Technology

  7. Tasneem Batool, Omar El Boutari, Mostafa Abuelnoor, 2019
    Reducing Medical Appointment Cancellations Using Technology
    Won the Best Paper Award @ IEEE International Conference on Internet of Things and Intelligence System (IoTaIS), 2020.
    Featured in the Innovation@UAE Magazine (3rd edition) by the Ministry of Education. (Article).

  8. Hanin AlRais, Amna AlAli, Mariam Alhammadi and Abdalla Mohamed, 2019
    Space Utilization Detection using BLE Beacons
    Won a Sandooq Al Watan Research Grant, 2019.

  9. Arwa Alblooshi, Rami Abuassi, Raaid Salha, and Amir Douglah, 2019
    Open-source infrastructure for smart homes
    Won a Sandooq Al Watan Research Grant, 2019.

  10. El Houssine Talab, Labeeba Begum, Omar Mohamed, 2018
    Detecting Heart Anomalies by Classifying Stethoscope Feed Using Neural Networks
    Won the 3rd place in the AUS Engineering Day - Computer Science & Engineering Senior Deasign Competition, 2019.

  11. Vikram Sakkia, Hasan Al Noman, Omar Al Hammadi, Salman Sowdagar, 2018
    Emergency Evacuation System using BLE Beacons
    Won a Sandooq Al Watan Research Grant, 2018.
    Won the 3rd place in the Smart Mobile Application Contest, 2019.
    Won the 1st place in the Millennial Engagement Competition which was part of the Mega City Infrastructure Week, 2019.
    Won the 1st place in the AUS Engineering Day - Computer Science & Engineering Senior Design Competition, 2019.

  12. Aranyak Ghosh, Nagwa Awadalla, Nova Rahma, 2018
    Asthma Diagnosis using Neuro-fuzzy Techniques

  13. Mohamed El Refaay, Abdulkarim Ali, Omar El Sabaa, Eilaf Algebail, 2018
    Little Genius - An IoT-Based learning game
    Won the Best Short Paper Award @ IEEE International Conference on Advanced Learning Technologies (ICALT), 2020.

  14. Saud Qasimi, Abdulla Ahli, Abdalla Noman, and Mohamed Marashda, 2017
    Intelligent Real-Time Car Driving Monitoring
    Won the best AUS Engineering Design Project for 2017-2018 (first place in EDICE).

  15. Gurdit Khera, Fayiz Parambath, Shruthi Srinivasan, 2016
    Intelligent Accident Detection using Mobile Phones

  16. Suad Ajmal, Kamil Kamili, Anam Mahmood, 2016
    Autism Learning Mobile Application for Children

  17. Abdulwahab Sahyoun, Karim Chehab, Osama Al Madani, 2015
    Parkinson's Disease Detection using Mobile Phones
    Won the 2nd place in the IEEE UAE Student Day (Senior Design) Competition, 2016.

  18. Ahmed Samra, Fayez Barakji, Yosr Islam, 2015
    Elderly Monitoring System

  19. Ahmed Awad, Shams Eddeen Shabsough, and Youssef Elkhorazaty, 2014
    Emotion Detection using Mobile Phones
    Won the 1st place in the UAE Undergraduate Student Research Competition (IT Track), 2015.

  20. Ahmed AlShaer and Fadya AlMaeeni, 2014
    EIAST Cube satellite (CubeSat) Project

  21. Haya Hasan and Basel Safieh, 2014
    Detecting Chronic Obstructive Pulmonary Disease (COPD) Using Mobile Phones
    Won the 1st place in the UOWD UAE Software Development Trade Show, 2014.
    Won the 1st place in the UAE Undergraduate Student Research Competition (IT Track), 2014.
    Won the 1st place in the AUS College of Engineering Senior Design Competition, 2014.
    Won the 2nd place in the Mobile Application Contest, 2014.

  22. Rona Kanbar (Microsoft), Ruba Abu-Salma (University College London - PhD Student), Farah Al-Haddad, Sarah Al-Otaibi, 2013
    Detecting Human Accidents Using Mobile Phones
    Won the 2nd place in the Sharjah Islamic Bank (SIB) Student Research Award Competition, 2014.

  23. Humaid Yousif Al Ali (aeCERT), May Hamad Al Merri, 2012
    Detecting Automotive Accidents Using Mobile Phones
    Won the 3rd place in the Emirates Foundation Think Science Competition, 2013.

  24. Shamma Al-Qassim (DEWA), Shaheen Khoja (Consol), Madhumeta Ganesh (AUS), Meher Zaidi, 2012
    Detecting Sleep Apnea Using Mobile Phones
    Won the 1st place in the AUS College of Engineering Senior Design Competition, 2012.
    Won the 2nd place in the Microsoft Imagine Cup UAE Competition, 2012.
    Won the du Mobile Development Award, 2012.
    Won the 2nd place in the Mobile Application Contest, 2012.
    Won the 3rd place in the IEEE Engineering Day (Senior Design) Competition, 2012.
    Won the 4th place in the Sharjah Islamic Bank (SIB) Student Research Award Competition, 2013.

  25. Deep Jyoti Golder (RMIT University, Australia), Karim Wasfi Cheaito (CCC), Omer Al-Reyami (Masdar), 2011
    Customizable Safety Monitoring Hat

  26. Aamenah Bashir (AUS), Grace Allaboh (Schlumberger), Russel Abdulhasan, 2011
    CardioTrack – Real-time Heart Beat Monitoring of Remote Patients
    Won the 1st place in the AUS CSE National Advisory Council Competition, 2011.

  27. Haneen Musleh (Alpha Apps), Ahmed Al-Khawaja (Microsystems), 2011
    Virtual Classroom

  28. Nour Hussein (Microsoft), Mohammad Saleh Bahrololoum (Golden Systems), Fatemeh Makhsoos, 2010
    Efficient Wireless Patient Monitoring Using Zigbee
    Won the 1st place in the AUS CSE National Advisory Council Competition, 2010.

  29. Ali Al-Shami (RedHat), Ibrahim Al-Midfa (Dubai Satellite), Rami Moutassem (DCE), 2009
    Locate-ME - Efficient Wi-Fi Based Tracking System
    Won the 3rd place in the Mobile Application Contest, 2009.

  30. Sarah Amiri (Dubai Satellite), Noor Al Jawhari (HP), Elaheh Askari, 2009
    Wireless RFID Controlled Parking Lot
    Won the 3rd place in the Made in UAE Competition, 2009.

  31. Ali Nahle (HP), Makram Abou Dehn, Raneem Al-Anani (Fujitso), 2009
    Guide Me - An Intelligent Traffic Monitoring System
    Won the Sharjah Islamic Bank Award (Honorable Mention), 2009.

  32. Abir Hallol (Microsoft), Inam Shah, Rawan Shawar (ACI Worldwide), 2009
    Intelligent School Bus Tracking

  33. Syed Zahidi (IBM), Mariam Ahmed, Noor Al-Nazli, 2008
    Two Factor Authentication Using Mobile Phones
    Won the 1st place in the Mobile Application Contest, 2008.

  34. Nancy Salem, Omar Al-Omar, Sahar Shehada (AlRowad IT Solutions), 2007
    M-Stock: Efficient Stock Monitoring for Mobile Users
    Won the 2nd place in the Mobile Application Contest, 2007.

  35. Nada R. Aji (IBM), Amin A. Al-Zarouni (Beaah), Nassar H. Fakhro (RTA), 2007
    Tracking Lost Kids using RFID
    Won the 1st place in Innovations in IT Conference, Best Student Poster Competition, UAE University, 2008.
    Won the 3rd place in the Made in Arab World Competition, 2007.

  36. Foad Shahla, Zahra Dashti, Milad Abedi (Cass Business School), 2007
    Mobile Phone Encryption

  37. Mohammed Abu Jayyab (Box Studios), Hazim Abu-Shaban (EMC), 2006
    LDPC Implementation using FPGA

  38. Basel Al-Roh (MBC), Anas Al-Farra (Bank of Syria & Overseas), 2005
    Job Scheduling using SAT Algorithms

For more information, please contact Dr. Fadi Aloul (faloul@aus.edu).

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