Yazeed Yasin Ghadi, Ph.D

Director, Software Engineering and Computer Science Programs

Associate Professor

Abu Dhabi Campus

+971 2 6133528



PhD in Software Engineering,Queensland University, Australia

MSc in Software Engineering, University of Technology Sydney, Australia

BSc in Computer Science, Mutah University, Jordan

Research Interests

  • Software Engineering 
  • Artificial Intelligence
  • Robotics
  • Computer Vision
  • Deep Learning
  • Deep learning Classification Algorithms
  • IoT
  • Advance Convolutional Neural Network

Selected Publications

  1. Robust Object Categorization and Scene Classification over Remote Sensing Images via Features Fusion and Fully Convolutional Network. Yazeed Yasin Ghadi, Adnan Ahmed Rafique, Tamara al Shloul, Suliman A. Alsuhibany, Ahmad Jalal, Jeongmin Park, Remote Sensing, 2022, Vol 14,No 1550. PP 1-26.

  2.   An evolutionary algorithm for multi-objective optimization of freshwater consumption in textile dyeing industry. EA Ihsan Elahi, Hamid Ali, Muhammad Asif, Kashif Iqbal, Yazeed Ghadi PeerJ Computer Science 2022, Vol 72 No (2),PP 1-24.

  3.   Automated Parts-Based Model for Recognizing Human–Object Interactions from Aerial Imagery with Fully Convolutional Network. Yazeed Yasin Ghadi , Manahil Waheed, Tamara al Shloul, Suliman A. Alsuhibany, Ahmad Jalal, Jeongmin Park, Remote Sensing. 2022, Vol 14 Nox(1492), 1-25.

  4.   Investigating Maps of Science Using ContextualProximity of Citations Based on Deep Contextualized Word Representation. Muhammad Roman, Abdul Shahid, Shaflullah Khan , Lisu Yu , Muhammad Asif, Yazeed Ghadi, 2022, IEEE Access 12 (10), 1-25.

  5.   Smartphone Sensor-Based Human Locomotion Surveillance System Using Multilayer Perceptron. Usman Azmat, Yazeed Yasin Ghadi, Tamara al Shloul, Suliman A Alsuhibany, Ahmad Jalal, Jeongmin Park. Applied Sciences. 2022 Vol 12 No (5), 2550

  6. MS-DLD: Multi-Sensors-based Daily Locomotion Detection via Kinematic-Static Energy and Body-Specific HMMs. Yazeed Ghadi, M Javeed, M Alarfaj, T Al Shloul, SA Alsuhibany, A Jalal, IEEE Access. 2022, Vol 10. Pp 23964-23979.

  7.  A word embedding technique for sentiment analysis of social media to understand the relationship between Islamophobic incidents and media portrayal of Muslim communities Ali, M Asif, I Hamid, MU Sarwar, FA Khan, Y Ghadi PeerJ Computer Science 2022, 8, e838.

  8. Intelligent computer-aided diagnosis system to enhance mass lesions in digitized mammogram images. Ayman AbuBaker, Yazeed Yasin Ghadi, Nader Santarisi. International Journal of Electrical and Computer Engineering (IJECE) Vol 12, No 3, p.p 2564-2570.

  9. Self-Care Assessment for Daily Living Using Machine Learning Mechanism, AJJP Mouazma Batool , Yazeed Yasin Ghadi , Suliman A. Alsuhibany, Tamara Al Shloul. CMC-Computers, Materials & Continua, 2022. Vol 12 No (3), P.P 1447-1764. 

  10. Semantic Recognition of Human-Object Interactions via Gaussian-Based Elliptical Modeling and Pixel-Level Labeling, N Khalid, YY Ghadi, M Gochoo, A Jalal, K Kim, IEEE Access 9, 111249-111266, (2021).

  11. Multi-person tracking and crowd behavior detection via particles gradient motion descriptor and improved entropy classifier, F Abdullah, YY Ghadi, M Gochoo, A Jalal, K Kim, Entropy 23 (5), 628, (2021).

  12. A Systematic Deep Learning-Based Overhead Tracking and Counting System Using RGB-D Remote Cameras, M Gochoo, SA Rizwan, YY Ghadi, A Jalal, K Kim, Applied Sciences 11 (12), 5503, (2021).

  13. A Smart Surveillance System for People Counting and Tracking Using Particle Flow and Modified SOM, M Pervaiz, YY Ghadi, M Gochoo, A Jalal, S Kamal, DS Kim, Sustainability 13 (10), 5367, (2021).

  14. Multi-Criteria Storage Selection Model for Grid-Connected Photovoltaics Systems, M Liaqat, MG Khan, MR Fazal, Y Ghadi, M Adnan, IEEE Access 9, 115506-115522, 2021.

  15. A Comparison of Wireless Standards in IoT for Indoor Localization Using LoPy, FU Khan, M Awais, MB Rasheed, B Masood, Y Ghadi, IEEE Access 9, 65925-65933, 2021.

  16. A vehicle-to-vehicle relay-based task offloading scheme in Vehicular Communication Networks, S Raza, MA Mirza, S Ahmad, M Asif, MB Rasheed, Y Ghadi, PeerJ Computer Science 7, e486, 2021.

  17. Energy, economic and environmental analysis of fuzzy logic controllers used in smart buildings, AM Baniyounes, YY Ghadi, MMA Zahia, E Adwan, K Oliemat, International Journal of Power Electronics and Drive Systems 12 (2), 1283, 2021.18

  18. A novel CAD system to automatically detect cancerous lung nodules using wavelet transform and SVM, AAA Baker, Y Ghadi, International Journal of Electrical and Computer Engineering 10 (5), 4745, (2020).19

  19. Cancerous lung nodule detection in computed tomography images, AA Baker, Y Ghadi, Telkomnika (2020), 18 (5), 2432-2438.20.

  20. Ayman AbuBaker, Yazeed Ghadi. (2020), Mobile robot controller using novel hybrid system, International Journal of Electrical and Computer Engineering (IJECE) Vol. 10, No. 1, pp. 1027~1034.21.

  21. Ghadi, Y.Y., (2019) A novel hybrid locomotion mechanism for small mobile robotICIC Express Letters, Part B: Applications,10(11), pp. 1031-1036.22.

  22. Ghadi, Y.Daoud, M.S.Kharbat, F.Elamsy, T. (2019) Evaluation of the difference between verification and validation of software and analyzing the significance among bothICIC Express Letters, Part B: Applications 10(10), pp. 885-893.23.

  23. Daoud, M.S.Ghadi, Y.Almimi, H. (2019), Optimization of the application software in biomechanics and their contribution to the biological fieldJournal of Engineering Science and Technology Review,12(1), pp. 178-184.24.

  24. Ali M. Bani Younes, Yazeed Yasin Ghadi, Baker A.A; institutional smart buildings energy audit; International Journal of Electrical and Computer Engineering (IJECE)Vol 9, No 2: April 2019, PP 783-788.25.

  25. Ghadi, Y.Y, Rasul, M.G. and Khan, M.M.K. (2016), Design and development of advanced fuzzy logic controllers in smart buildings for institutional buildings in subtropical Queensland, Renewable and Sustainable Energy Reviews, 54, 738-744, Elsevier. (Impact Factor: 30.54).26.

  26. Yazeed Yasin Ghadi, A., Rasul, M.G. & Khan, M.M.K. (2017), The integration of daylight with advanced fuzzy-based controllers for institutional buildings in the region of Central Queensland, Australia, Energy Procedia, 105, 2429-2437, Elsevier.

  27. Ghadi, Y.Y., Rasul, M.G. and Khan, M.M.K. (2014), Potential of Saving Energy Using Advanced Fuzzy Logic Controllers in Smart Buildings in Subtropical Climates in Australia, Energy Procedia, 61, 290-293, Elsevier.

  28. Ghadi, Y.Y., Rasul, M.G. and Khan, M.M.K. (2014), Recent developments of advanced fuzzy logic controllers used in smart buildings in a subtropical climate, Energy Procedia, 61, 1021-1024, Elsevier.

Teaching Courses

Foundation Of Software engineering, Software requirements & specification, Software Analysis and design, computer organization, Object-oriented analysis and design, software design and development, Software measurement and testing, Artificial intelligence Machine learning, Software security.


Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all.

This person’s work contributes towards the following SDG(s):




  • Assess qualification by Australian Computer Society (ACS) and Engineers Australia
  • Member of Institute of Electrical and Electronics Engineers (IEEE)
  • IEEE Power Engineering Society (PES)
  • Editorial Board member of AIMS Energy.


Mobile robot controller using novel hybrid system

Published in: International Journal of Electrical and Computer Engineering

Apr 01, 2020

/ Yazeed Ghadi

Hybrid neuro-fuzzy controller is one of the techniques that is used as a tool to control a mobile robot in unstructured environment. In this paper a novel neuro-fuzzy technique is proposed in order to tackle the problem of mobile robot autonomous navigation in unstructured environment. Obstacle avoidance is an important task in the field of robotics, since the goal of autonomous robot is to reach the destination without collision. The objective is to make the robot move along a collision free trajectory until it reaches its target. The proposed approach uses the artificial neural network instead of the fuzzified engine then the output from it is processed using adaptive inference engine and defuzzification engine. In this approach, the real processing time is reduced that is increase the mobile robot response. The proposed neuro-fuzzy controller is evaluated subjectively and objectively with other approaches and also the processing time is taken in consideration. Copyright © 2020 Institute of Advanced Engineering and Science. All rights reserved.


A novel hybrid locomotion mechanism for small mobile robot

Published in: ICIC Express Letters, Part B: Applications

Dec 11, 2019

Robots are the inventions of the modern world that has reduced manual efforts to a greater extent. Humans usually utilize robots to do works that are dangerous, dirty, and difficult. Mobile robots are operated using remote controlled mechanism. They are agile and can move from one place to another using remote mechanism. This paper includes the information on a novel hybrid locomotion mechanism for small mobile robots. By hybrid locomotion mechanism, we mean that the wheel and track type motion are merged to increase the agility of the mobile robots. This not only makes the robot flexible, but also adds up a hybrid and interchangeable movement. The robot can move in any direction. The robot transforms from track mechanism to wheel mechanism by using a switchover module. A switchover module is a track sensor unit and is usually operated by the old school wheel and track mechanism. The wheel exerts force on the track, making the switchover module move in upward and downward direction supporting the movement of the wheel in rotatory motion. It is assumed and believed that the hybrid locomotion mechanism is able to perform in rough grounds as well. © 2019 ICIC International. All rights reserved.


Stock market investment fantasy project

Published in: TEM Journal

Sep 01, 2019

In this paper, we argue that the stock market can be conceived, somehow, as a fantasy league project if it is played well. Envisioning the stock market within the fantasy sports framework, can stimulate the stock market investment and improve the chances for success. The player or investors can view the stock market as a checking list of the stock and their performance before do one' shopping. While the project was a software engineering item, the backend project has a front office website by which investors can see the stock and make a decision. This project will use the Nested IF-THEN-ELSE-END IF statements to check prices of specific stock at particular time, in order to make decision on buying, holding, or selling, according to its actual performance. A wide range of stock prices prediction approaches are used in addition to the event driven actions.


Optimization of the application software in biomechanics and their contribution to the biological field

Published in: Journal of Engineering Science and Technology Review

Jun 01, 2019

Biomechanics refers to study of movement within dynamic biological systems. Advancement of computer software technologies such as JAVA language leads to combine stimuli and signals by biological systems and utilize them for research purposes. The main aim of this research is to analyse various biomechanical software and advancements that have been made in the field of mechanical software. Secondary research analysis has been utilized within this research paper. A Number of computational software such as OpenSim and ABAQUS have been proven to be very beneficial in this aspect. Advancement in biomechanical software has led to better research in cancer and cytoskeletal studies. Thus, Biomechanical software enables us to study kinetics of body without invasive procedures and does not cause any hindrance to ethical issues


Institutional smart buildings energy audit

Published in: International Journal of Electrical and Computer Engineering

Apr 01, 2019

Smart buildings and Fuzzy based control systems used in Buildings Management System (BMS), Building Energy Management Systems (BEMS) and Building Automation Systems (BAS) are a point of interests among researcher and stake holders of buildings’ developing sector due to its ability to save energy and reduce greenhouse gas emissions. Therefore this paper will review, investigates define and evaluates the use of fuzzy logic controllers in smart buildings under subtropical Australia’s subtropical regions. In addition the paper also will define the latest development, design and proposed controlling strategies used in institutional buildings. Furthermore this paper will highlight and discuss the conceptual basis of these technologies including Fuzzy, Neural and Hybrid add-on technologies, its capabilities and its limitation. Copyright © 2019 Institute of Advanced Engineering and Science. All rights reserved.