Abdul-Rahman Mawlood-Yunis

My research interest spans multiple computer science fields. These include software engineering, mobile and smart TV apps, semantic web, software fault-tolerance, natural language processing (NLP) and text mining, peer-to-peer systems, distributed computing, and business intelligence(BI).

Below are summaries of the three prime projects that I am currently working on and the research areas that I am interested in:

• Building a Generic Framework for Live-streaming Multi-Media Content Delivery Apps
  
  • I have published three Android and two Samsung Smart TV apps. The apps enable the live streaming of more than 50 televisions and radio stations. I am interested in maintaining and evolving these apps and further researching work to build a generic architecture for live streaming multi-media content delivery apps and applications.
• NLP and Language Applications
  • I am establishing a novel research work to build a comprehensive application programming interface (API) for resource constraints languages, e.g., Arabic, Kurdish and Farsi languages. The API can be used to build applications such as text-to-speech, thesauri, spell-checker, word-bank applications and identifying the most frequent words used in these languages.
• Agent-oriented Mobile Development
  • The novel features found in mobile devices present new challenges to application developers that are not found in traditional software applications. I am interested in agent-oriented mobile development research where an application can sense and react to its surrounding environment to achieve its desired functional requirements.

Industry grant: $7,500.00 - HH Angus & Associates. Research area: Machine Learning and Computer Vision.

Startup research fund: $50,000.00, Wilfrid Laurier University 

Research fund (LTA): $10,000.00, Wilfrid Laurier Univeristy 

I have research opportunities for undergraduate and gradate students interested in mobile applications, NLP and text mining. I am willing to supervise undergrad/graduate students in the area of software engineering, mobile application, NLP, machine learning, and image procesisng. 

• Youssef Roman, Abdul-Rahman Mawlood-Yunis, "A Web Service Tool for Real Estate Price Estimation Powered by Machine Learning," Thirteenth International Conference on Building and Exploring Web-Based Environments (WEB 2025), Lisbon, Portugal, 2025 (Accepted)
• Abdul-Rahman, Mawlood-Yunis , "An Architectural Framework for Consistent UI in Android App Development," Thirteenth International Conference on Building and Exploring Web-Based Environments (WEB 2025), Lisbon, Portugal, 2025. (Accepted)
• Youssef Roman, Abdul-Rahman Mawlood-Yunis, "Machine Learning Engine for Real Estate Price Estimation," 2025 International Conference on Advanced Machine Learning and Data Science (AMLDS 2025), Tokyo, Japan, 2025. (Accepted).
• Youssef Roman, Abdul-Rahman Mawlood-Yunis, "Machine Learning Engine for Real Estate Price Estimation," Second International Workshop on “Artificial Intelligence: Empowering Sustainable Development” (AISD 2024), Madrid, Spain, 2024.
• Raghav Khare, Anuraj Sule, and Abdul-Rahman Mawlood-Yunis, "Enhancing Academic Advising with AI: Leveraging Large Language Models and Retrieval-Augmented Generation for Smarter Student Support," The International Conference in Optimization and Learning (OLA 2025), Dubai, UAE, 2025.(submitted)
• Shizhao Yu and Abdul-Rahman Mawlood-Yunis, "Applying Machine Learning and Optimization Algorithms to Perform Feature Selection," 7th International Conference
• Sasikumar, U., Zaman, A., Mawlood-Yunis, A. R., & Chatterjee, P. (2023). Sentiment Analysis of Twitter Posts on Global Conflicts. arXiv preprint arXiv:2312.03715 (https://arxiv.org/abs/2312.03715).
• U. Sasikumar, A. Zaman, A. -R. Mawlood-Yunis and P. Chatterjee, "Sentiment Analysis of Twitter Posts on Global Conflicts," 2023 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, 2023, pp. 759-764, doi: 10.1109/CSCI62032.2023.00129.
• Al-saedi, A., Mawlood-Yunis, AR. (2023). Binary Black Widow with Hill Climbing Algorithm for Feature Selection. In: Dorronsoro, B., Chicano, F., Danoy, G., Talbi, EG. (eds) Optimization and Learning. OLA 2023. Communications in Computer and Information Science, vol 1824. Springer, Cham. https://doi.org/10.1007/978-3-031-34020-8_20
• Al-Saedi, A., Mawlood-Yunis, AR. (2022). Binary Black Widow Optimization Algorithm for Feature Selection Problems. In: Simos, D.E., Rasskazova, V.A., Archetti, F., Kotsireas, I.S., Pardalos, P.M. (eds) Learning and Intelligent Optimization. LION 2022. Lecture Notes in Computer Science, vol 13621. Springer, Cham. https://doi.org/10.1007/978-3-031-24866-5_7.
• Mawlood-Yunis AR. (2021) A Framework for Developing Custom Live Streaming Multimedia Apps. In: Arabnia H.R., Deligiannidis L., Tinetti F.G., Tran QN. (eds) Advances in Software Engineering, Education, and e-Learning. Transactions on Computational Science and Computational Intelligence. Springer, Cham. https://doi.org/10.1007/978-3-030-70873-3_46 
• A. Mawlood-Yunis, "A Live Streaming App for Android Devices," 2019 International Conference on Computational Science and Computational Intelligence (CSCI), Las Vegas, NV, USA, 2019, pp. 1103-1106, doi: 10.1109/CSCI49370.2019.00209, https://ieeexplore.ieee.org/document/9071290. 
• P. J. Muhammad Ali, N. M. Shafiq Surameery, A.-R. Mawlood-Yunis and L. S. Abdulrahman, Gender Prediction of Journalists from Writing Style. ARO, the Scientific Journal of Koya University Volume I, No 1(2013).
• Mawlood-Yunis, A.-R., Weiss, M., and Santoro, N., Reference Model for Semantic Peer-to-Peer Networks, S. Spaccapietra (Ed.) Journal on Data Semantics, XV, LNCS 6720, pp. 37-65, 2011.
• Mawlood-Yunis, A.-R., Weiss M., and Santoro, N. From P2P to Reliable Semantic P2P Systems, Peer-to-Peer Networking and Applications Journal, (3): 363-381, 2010.
• Mawlood-Yunis, A.-R., Weiss, M., and Santoro, N., A Reference Model for Semantic Peer-to-Peer Networks, In Proceedings of 4th International MCETECH Conference on E-Technologies, LNBIP, pp: 313-394, 2009.
• Mawlood-Yunis, A.-R., Weiss, M., and Santoro, N., Fault-Tolerant Emergent Semantics in P2P Networks, In Cardoso, J., and Lytras, M. (eds.), Semantic Web Engineering in the Knowledge Society, 161-187, IGI Global, 2008.
• Mawlood-Yunis Abdul-Rahman. Reliable Peer-to-Peer Semantic Knowledge Sharing System. In Proceedings of 3rd International Workshop on Reliability in Decentralized Distributed Systems (RDDS), LNCS 5333, P: 894-0-903, 2008.
• Mawlood-Yunis Abdul-Rahman. Fault-tolerant Semantic Mappings Among Heterogeneous and Distributed Local Ontologies. In Proceedings of 2nd International workshop on Ontologies and Information Systems for the Semantic Web (ONISW), pp: 31-38, 2008.
• Mawlood-Yunis, A.-R., Weiss, M., and Santoro, N., Fault Classification in P2P Semantic Mapping. Workshop on Semantic Web for Collaborative Knowledge Acquisition (SWeCKa) at International Conference on Artificial Intelligence (IJCAI), 2007.
• Mawlood-Yunis, A.-R., Weiss, M., and Santoro, N., Issues for Robust Consensus Building in P2P Networks. In International Workshop on Ontology Content and Evaluation in Enterprise (OnToContent), LNCS 4278, pp. 1020-1028, 2006.

• CP680 Capstone Project
• CP470 Android Programming
• CP670 Android Application Programming
• CP317 Software Engineering
• CP213 Object-Oriented Programming in Java 
• CP395: Directed Studies
• CP493: Directed Research Project I

Algonquin College, Faculty of Information and Communication Technology

• CST2335 Mobile Graphical Interface Programming 
• CST8237 Game Programming

• comp 3104 Foundations of Software Engineering
• 95.104 Introduction to Computers for the Science
  
  

An app Architecture for Android devices with a Modular View Using Inheritance

Create an app architecture with a user interface structured around a modular design, leveraging the principles of inheritance and subclassing. This approach enhances code organization, promotes reusability, and facilitates the management of distinct components within the app.

 Develop an Application for Automated Class Assignment Testing:

Engineer a comprehensive application designed to automate the testing process for assignments. This tool aims to streamline and optimize the evaluation of assignments by employing automated testing procedures, ensuring efficiency and accuracy in the grading process.

 Develop a Green App: Machine Learning on Mobile Devices:

 Design an environmentally conscious application that incorporates machine learning capabilities on mobile devices. This green app focuses on leveraging machine learning algorithms to enhance energy efficiency, optimize resource usage, and contribute to a more sustainable and eco-friendly mobile technology landscape.

 Develop an App architecture for Data Presentation and Analysis:

 Create a sophisticated app architecture tailored for the presentation and analysis of data. The architecture provides users with an intuitive and interactive ability to visualize and interpret data, fostering a seamless experience for data-driven decision-making.

Develop an App for File I/O for Android Devices:

 Build a robust application for File Input/Output (I/O) operations specifically optimized for Android devices. This app ensures efficient and secure handling of files, offering users a seamless experience in managing, accessing, and organizing data on their Android devices.

Develop an App to Report/Control Resources, e.g., Space and CPU, Used by Installed Apps on Mobile Devices:

Engineer an application with the capability to monitor, report, and control the resources, including storage space and CPU usage, consumed by other installed apps on mobile devices. This tool empowers users to manage and optimize their device's performance by efficiently allocating resources.

 Develop a Cutting-edge live-streaming Android App

The goal of this project is to develop a state-of-the-art live-streaming Android application that leverages URL streaming technology. This app will enhance user convenience and flexibility by consolidating preferred radio stations, TV stations, or local media files and transforming Android devices into a portable entertainment hub.

Educational Chatbots (two apps):

In this innovative project, we aim to develop two cutting-edge educational chatbots, leveraging the power of on-device machine learning technology. These chatbots will serve distinct roles, with one specifically designed as a Student Advising Tool and the other as a Classroom Teaching Assistant.

•  Student Advising chatbot:

Using on-device machine learning, the chatbot will provide personalized guidance and support to students navigating their academic journeys. the chatbot will assist in course selection, offer insights into academic pathways, and provide real-time information on educational resources. The on-device machine learning capabilities ensure that the chatbot can adapt and refine its recommendations based on individual student needs and academic progress.

•  Classroom Teaching Assistant:

• Key Features:

Book Title
Android for Java Programmers

Authors
Abdul-Rahman Mawlood-Yunis

DOI
https://doi.org/10.1007/978-3-030-87459-9

Publisher
Springer Cham

Softcover ISBN
978-3-030-87458-2
Published: 25 June 2022

eBook ISBN
978-3-030-87459-9
Published: 24 June 2022

Edition Number
1

Number of Pages
XXIV, 640

https://www.springer.com/us/book/9783030874582

https://www.lehmanns.de/shop/mathematik-informatik/57253986-9783030874582-android-for-java-programmers

• Youssef Roman is currently pursuing a Master's in Applied Computing with a focus on Artificial Intelligence through the project option, funded by Mitacs.

• Shizhao Yu completed his Master's in Applied Computing in 2023, presenting a thesis titled "Using Machine Learning and an Optimization Algorithm for Feature Selection."

• Tarandeep Mandhiratta has completed his Master's in Applied Computing through the project option, specializing in Machine Learning and Computer Vision. The project was funded by H.H. Angus and Associates Ltd.

• Ahmed Al-Saedi completed his Master's in Applied Computing in 2021, contributing to the field with a thesis titled "Binary Black Widow Optimization Algorithm for Feature Selection Problems" (https://scholars.wlu.ca/etd/2375/).

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• 36th Canadian AI - 2023, 5-9 June 2023, Montréal, Québec
• 2023/05 International Conference, The Eleventh International Conference on Building and Exploring Web Based Environments (WEB), 2023
• 2022/05 The 35th Canadian Conference on Artificial Intelligence (Canadian AI 2022)
• 2022/05 International Conference, The Tenth International Conference on Building and Exploring Web Based Environments (WEB), 2022
• 2021/05 The 34th Canadian Conference on Artificial Intelligence (Canadian AI 2021)
• 2021/05  International conference, The Ninth International Conference on Building and Exploring Web Based Environments (WEB), 2020 
• 2020/1 International conference URC2020, 12th Annual Undergraduate Research Conference on Applied Computing.   
• 2020/1 International conference, The eight International Conference on Building and Exploring Web Based Environments (WEB), 2020   
• 2019/1  International conference, The seventh International Conference on Building and Exploring Web Based Environments (WEB), 2019   
• 2018/1 International Conference, The sixth International Conference on Building and Exploring Web Based Environments  (WEB), 2018  
• 2017/1 International conference, The fifth International Conference on Building and Exploring Web Based Environments (WEB), 2017   
• 2016/1 International Conference, The Fourth International Conference on Building and Exploring Web Based Environments (WEB), 2016  
• 2015/1 International conference, The Third International Conference on Building and Exploring Web Based Environments  (WEB), 2015  
• 2014/1 International conference, The Second International Conference on Building and Exploring Web Based Environments (WEB), 2014   
• Journal Reviewer:
  • Computing Archive for Scientific Computing, Springer, 2022

For information on our certificate in Computer Science program visit this link: 

https://wlu.ca/programs/?filter=faculty-of-sciencehttps://bohr.wlu.ca/ccs.htm