Dr. Ra'afat Abu-Rukba | American University of Sharjah
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Profile

College / Department

College of Engineering
Department of Computer Science and Engineering

Teaching areas

CMP 120: Programming 1, CMP 220: Programming 2, COE 420: Software Engineering, CMP 404: Cloud Computing

Research areas

Cloud Computing, Mobile Cloud Computing, Fog Computing, Decentralized Scheduling, Content-based networks, Economic-based optimization models and approaches, Privacy in distributed systems, Smart Spaces

Education

PhD, Computer Engineering, Western University, Canada, 2013
Master, Computer Engineering, Western University, 2005
BS, Computer Science With Software Engineering Specialization, Western University, 2002

Professional experience

Assistant Professor, Computer Science And Engineering, American University of Sharjah, United Arab Emirates, 2016 - Present
Visiting Assistant Professor, Computer Science And Engineering, American University of Sharjah, United Arab Emirates, 2014 - 2016
Lecturer, Computer Science & Software Engineering, Penn State University, United States, 2013 - 2014
Senior Research Assistant, Western University, Canada, 2005 - 2013
Project Lead, Senior Software Engineer Research Assistant, EK3 Technologies, Canada, 2003 - 2012
Teaching Assistant, Western University, Canada, 2003 - 2010
Technology Consultant, IDCor, Canada, 2007 - 2008

Memberships

Upsilon Pi Epsilon, USA, November 2017
Member, IEEE, January 2016

Contact

[email protected]
+971 6 515 2956

Dr. Ra'afat Abu-Rukba

Associate Professor
PhD, Western University, Canada

Dr. Raafat Aburukba's areas of expertise include cloud computing, decentralized scheduling, smart spaces, economic-based modeling and approaches, and collaborative intelligence and assistance. Prior to joining AUS he was a faculty member with the Department of Computer Science and Software Engineering at Pennsylvania State University. He was also a senior software engineer at EK3 technologies where he led multiple research and commercialization projects.

Publications

Moez Krichen, Mohamed Abdalzaher, Mostafa Shaaban And Raafat Aburukba. Lightweight AI for Drones: A Survey, 2025
Mohamed Abdalzaher, Mostafa Shaaban, Moez Krichen And Raafat Aburukba. Roles of UAVs, Robots, and AI in Earthquake Disaster Management, 2025
Moez Krichen, Mohamed Abdalzaher, Mostafa Shaaban And Raafat Aburukba. Using Aerial Videos for Natural Disaster Damage Assessment, 2025
Jayroop Ramesh, Zahra Solatidehkord, Raafat Aburukba, Assim Sagahyroon And Fadi Aloul. Transferring Learned ECG Representations for Deep Neural Network Classification of Atrial Fibrillation with Photoplethysmography, Applied Sciences, 2025
Rabin Chakrabortty,, Tarig Ali, Mohamed Abouleish, Serter Atabay, Norita Ahmad, Raafat Aburukba, Gowhar Meraj, Jerry Nave And Shrouq Al-etoom. Urban Flood Susceptibility Assessment in Arid Environment Using a Novel Hybrid Deep Learning Approach, Earth Systems And Environment, November 2025
Sheja S Rani, Raafat Aburukba And Khaled El-fakih. Optimizing Predictive Maintenance in Industrial IoT Cloud Using Dragonfly Algorithm, Ieee Iot, June 2025
Mohamed Abdalzaher, Mostafa Shaaban And Raafat Aburukba. Leveraging Machine Learning for SCADA-based Smart Grids Security, 2024
Mohamed Abdalzaher, Mostafa Shaaban And Raafat Aburukba. Using Machine Learning for Classifying PMUs Observation in Smart Grids, 2024
J Zhang, Abdelkader Ouda And Raafat Aburukba. Authentication and Key Agreement Protocol in Hybrid Edge–Fog–Cloud Computing Enhanced by 5G Networks, 2024
A Ahmed, J Ramesh, S Ganguly, Raafat Aburukba, Assim Sagahyroon And Fadi Aloul. Examining the Effects of Static Personality Traits with Dynamic Affective and Emotional States on Depression Severity, Lecture Notes In Networks And Systems (lnns), Icict 2024, July (3rd Quarter/Summer) 2024
Ammar Shaheen, Hisham Kazim, Mazen Eltawil And Raafat Aburukba. IoT-Based Solution for Detecting and Monitoring Upper Crossed Syndrome, Sensors, January (1st Quarter/Winter) 2024
P. Rajendran, S Maloo, Mitra Mitra And Raafat Aburukba. Comparison of Cloud-Computing Providers for Deployment of Object-Detection Deep Learning Models, 2023
Fatema Alwy, Raafat Aburukba, Abdulrahman Al-ali, Ahmad Al Nabulsi, Alaa Tarek, Ameen Ayub And Mariam Elsayeh. Data-Driven Safe Deliveries: The Synergy of IoT and Machine Learning in Shared Mobility, Future Internet, October (4th Quarter/Autumn) 2023
Abdullah Ahmed, Jayroop Ramesh, Sandipan Ganguly, Raafat Aburukba, Assim Sagahyroon And Fadi Aloul. Evaluating Multimodal Wearable Sensors for Quantifying Affective States and Depression with Neural Networks, Ieee Sensors, October (4th Quarter/Autumn) 2023
Raafat Aburukba, Yara Kaddoura And Maya Hiba. Cloud Computing Infrastructure Security: Challenges and Solutions, July (3rd Quarter/Summer) 2023
Abdullah Ahmed, Jayroop Ramesh, Sandipan Ganguly, Raafat Aburukba, Assim Sagahyroon And Fadi Aloul. Evaluating Multimodal Wearable Sensors for Quantifying Affective States and Depression with Neural Networks, Ieee Sensors Journal
Abid Farhan, Raafat Aburukba, Assim Sagahyroon, Mohammed Elnawawy And Khaled El-fakih. Virtualizing and Scheduling FPGA Resources in Cloud Computing Datacenters, Ieee Access, September 2022
Abdullah Ahmed, Jayroop Ramesh, Sandipan Ganguly, Raafat Aburukba, Assim Sagahyroon And Fadi Aloul. Investigating the Feasibility of Assessing Depression Severity and Valence-Arousal with Wearable Sensors Using Discrete Wavelet Transforms and Machine Learning, Information
Jayroop Ramesh, Raafat Aburukba, Donthi Sankalpa And Mohamed Elsakhawy. Cloud Infrastructure-as-a-Service Testbed Implementation using OpenStack, July (3rd Quarter/Summer) 2022
Fatema Elwy, Raafat Aburukba And Abdulrahman Al-ali. Role of Fog Computing in Smart Spaces, July (3rd Quarter/Summer) 2022
Raafat Aburukba, Ayah Yehia, Akmal Abdelfatah, Jad Abdul Malak And Rami Mithalouni. Developing a Software Design for a Bridge Management System for UAE, December 2021
Raafat Aburukba, Ar Al-ali, Ahmed Riaz, Ahmed Riaz, Danayal Khan, Shavaiz Khan And Moustafa Amer. Fog Computing Approach for Shared Mobility in Smart Cities (Journal), Energies, December 2021
Jayroop Ramesh, Zahra Solatidehkordi, Raafat Aburukba And Assim Sagahyroon. Atrial Fibrillation Classification with Smart Wearables Using Short-Term Heart Rate Variability and Deep Convolutional Neural Networks, Sensors, October (4th Quarter/Autumn) 2021
A. R. Al-ali, Raafat Aburukba, Ah Riaz, Ahmad Al Nabulsi, D Khan, S Khan And M Amer. IoT-Based Shared Community Transportation System Using e-Bikes (Conference), June 2021
Jayroop Ramesh, Raafat Aburukba And Assim Sagahyroon. A remote healthcare monitoring framework for diabetes prediction using machine learning, Healthcare Technology Letters, 2 May 2021
Saleh Abdalla, Mohamed Hassan, Taha Landolsi And Raafat Aburukba. On the Performance of Fog-Cloud Computing for Real-time Surveillance Applications, 16 March 2021
Raafat Aburukba, Assim Sagahyroon, Loay Kamel, Abdulla Al-shamsi, Hussain Surti And Eisa Sajwani. Remote monitoring framework for elderly care home centers in UAE, 1 March 2021
A Osman, Assim Sagahyroon, Raafat Aburukba And Fadi Aloul. Optimization of Energy Consumption in Cloud Computing Datacenters, International Journal Of Electrical And Computer Engineering (ijece), February 2021
Jayroop Ramesh, Raafat Aburukba And Abdulrahman Al-ali. Big Data and IoT System for Utility Power Planning using Commercial Cloud Database (Conference), June 2020
Ahmed Fahmy, Hunain Altaf, Ahmad Al Nabulsi, Abdulrahman Al-ali And Raafat Aburukba. Role of RFID technology in smart city applications, 2019 International Conference On Communications, Signal Processing, And Their Applications (iccspa), 2019
A Osman, Assim Sagahyroon, Raafat Aburukba And Fadi Aloul. Towards Energy Efficient Servers’ Utilization in Datacenters, Intelligent Computing, Advances In Intelligent Systems And Computing (aisc), June 2019
Ahmed Fahmy, Hunain Altaf, Ahmad Al Nabulsi, Abdulrahman Al-ali And Raafat Aburukba. Role of RFID Technology in Smart City Applications, March 2019
Ahmed Osman, Assim Sagahyroon, Raafat Aburukba And Fadi Aloul. Towards Energy Efficient Servers’ Utilization in Datacenters
Huda Ibrahim, Raafat Aburukba And Khaled El-fakih. An integer linear programming model and adaptive genetic algorithm approach to minimize energy consumption of cloud computing data centers, Computers \& Electrical Engineering, 2018
Raafat Aburukba, Assim Sagahyroon, Fadi Aloul And Niha Thodika. Brokering services for integrating health cloud platforms for remote patient monitoring, 9 November 2018
Huda Ibrahim, Raafat Aburukba And Khaled El-fakih. An Integer Linear Programming model and Adaptive Genetic Algorithm approach to minimize energy consumption of Cloud computing data centers, Computers And Electrical Engineering, 1 April (2nd Quarter/Spring) 2018
Raafat Aburukba, Assim Sagahyroon And Mohammed Elnawawy. Remote patient health monitoring cloud brokering services, 2017
Raafat Aburukba, Abdulrahman Al-ali, Mohammed Rashid And Rizwan Hassan. Internet of Things Cloud Framework for Smart Home, Journal Of Electronic Science And Technology, December 2016
Raafat Aburukba, A. Al-ali, Taha Landolsi, Mohammed Rashid And Rizwan Hassan. IoT Based Energy Management for Residential Area, 2016 Ieee International Conference On Consumer Electronics-taiwan (icce-tw), 2016
Raafat Aburukba, A. Al-ali, Taha Landolsi, Mohammed Rashid And Rizwan Hassan. IoT based energy management for residential area, 25 July (3rd Quarter/Summer) 2016
Raafat Aburukba, A. Al-ali, Nourhan Kandil And Diala Abudamis. Configurable ZigBee-based control system for people with multiple disabilities in smart homes, 28 April (2nd Quarter/Spring) 2016
Salsabeel Shapsough, Fatma Qatan, Raafat Aburukba, Fadi Aloul And A. Al Ali. Smart grid cyber security: Challenges and solutions, 15 April (2nd Quarter/Spring) 2016
Salsabeel Shapsough, Fatma Qatan, Raafat Aburukba, Fadi Aloul And A. Al Ali. Smart grid cyber security: Challenges and solutions, 15 April (2nd Quarter/Spring) 2016

Grants and sponsorships

Grant, CEN-URG-S23-04 Using Machine Learning for Physiotherapy Exercise Feedback, CEN Undergraduate Research Grant, - December 2023
Grant, A Hybrid Fog-Cloud Brokerage Approach to Minimize Deadline Misses for Mobile IoT Edge Devices, June 2021 - December 2023
Grant, Detection, Monitoring and Correction of Upper Cross Syndrome, October 2022 - May 2023
Grant, IoT-based Black Box for Monitoring Delivery Motorcyclists, October 2022 - May 2023
Grant, FRG23-C-E11 A Smart phone predictive maintenance platform (Not Funded), American University of Sharjah
Grant, Multi-sensor System to predict early signs of Spinal Diseases, December 2021 - December 2022
Grant, A Hybrid Fog-Cloud Brokerage Approach to Minimize Deadline Misses for Mobile IoT Edge Devices, June 2021
Grant, Real-Time Green Vehicle Routing Optimization for IOT-based Temperature Controlled Items, SCRI, January 2019 - June 2021
Grant, Hybrid Cloud-Fog Computing Testbed for Smart Healthcare Applications, AUS, 8 June 2017 - December 2020
Grant, Aging Well with Smart Technology
Grant, Privacy management framework in cloud computing, SCRI -Summer Research Travel Grant, 1 June 2018 - 31 August 2018

Awards and Honors

Excellence in Teaching Award, AUS, May 2022

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