
Dr Basem Suleiman
- Ph.D. in Computer Science, University of New South Wales, Sydney, Australia
- Graduate Certificate in Research Commercialization & Management, University of New South Wales (UNSW), Sydney, Australia
- Master of Computing (Software Engineering), Western Sydney University, Australia.
I am an accomplished educator, researcher, and industry collaborator with a Ph.D. in Computer Science from the School of Computer Science & Engineering at the University of New South Wales (UNSW). With wealth of experience spanning academia and industry, I have contributed to the design and development of cutting-edge software systems at world-class organizations, including SAP, CSIRO’s Data61, and leading universities such as UNSW and the University of Sydney. I have collaborated extensively with academics and industry professionals across multiple continents to drive innovation in software engineering and applied AI.
Currently, I serve as the Deputy Director of the Software Engineering Program and Industry Capstone Liaison Officer, at the school of Computer Science and Engineering. I advise students, develop industry engagement initiatives, and enhancing the software engineering curriculum. I actively facilitate project opportunities for students through industry partnerships and assist in program reviews and course development. Previously, at the University of Sydney, I also served as Deputy Director of External Engagement, fostering collaborations between academia, industry, and research institutes.
I am committed to excellence in teaching and curriculum innovation. My teaching philosophy is rooted in problem-solving and research-based strategies, ensuring students acquire the critical skills needed to tackle real-world challenges.
My research focuses on AI-driven Software Services, with applications spanning education, healthcare, and government digital services. I secured multiple research grants, published in prestigious conferences and journals, and supervised numerous honours, PhD, and capstone research students.
- Publications
- Media
- Grants
- Awards
- Research Activities
- Engagement
- Teaching and Supervision
I am driven by the vision of creating intelligent, human-centered AI solutions that enhance the way we interact with digital services, learn, and make decisions. My research explores how Applied AI, Generative AI, and Machine Learning can revolutionize Web Information Services, Human-Machine Interaction, and Education Technologies, making them more adaptive, inclusive, and impactful.
Imagine a world where AI-driven web services understand user needs, personalize experiences, and enhance decision-making—where recommender systems go beyond predicting preferences to proactively guide users in meaningful ways. I inspire ideas from real-world problems and needs with the goal to develop world-class solutions that contribute to making positive impact on societies and environment. My research is motivated by designing and developing innovative AI models for the web including human-centered services, human-machine interaction services, recommender services, service personalization. I am also interested in applying the research outcomes to important fields such as education, healthcare and government. In recent years, I have designed, developed, and evaluated innovative AI models, algorithms, and software/information systems to address critical challenges in web information services, recommendation service and personalisation, and human-machine interaction using Machine and Deep Learning, and recently Large Language Models (LLMs).
I welcome industry collaborations, interdisciplinary partnerships, and ambitious PhD candidates to join me in exploring the potential of intelligent systems that shape the future of digital services and learning.
As a researcher and educator at the School of Computer Science & Engineering, I co-lead the the Software Engineering Program and Industry Capstone Projects. I actively collaborate with industry partners, researchers, and PhD candidates to advance AI-driven Intelligent Software Services and Applied AI, including Generative AI, LLMs, Machine Learning, and Predictive Analytics. My research focuses on developing human-centered AI solutions for sectors such as FinTech, education, and digital services, driving innovation through personalisation, automation, and intelligent decision-making.
I engage with industry through research collaborations, funding partnerships, and co-development initiatives, and applying cutting-edge AI methods to solve real-world challenges. I also facilitate capstone and industry projects, bridging academia and industry by mentoring students on applied AI solutions with direct industry impact.
For researchers and PhD candidates, I offer opportunities to explore AI-based Web Services, Human-Machine Interaction, and AI in Education Technologies, leveraging interdisciplinary collaboration to create scalable, ethical, and impactful AI solutions.
I welcome industry partnerships, research collaborations, and talented PhD candidates eager to drive innovation and contribute to AI’s positive societal and environmental impact. Let’s collaborate to shape the future of intelligent services and AI-driven technologies.
My Research Supervision
- Arthur Chen, Ph.D. (2025 – 2028), Primary Supervisor. Leveraging Large Language Models for Enhanced Experience in Educational Domains. University of New South Wales
- Minhua Zhou, Ph.D. (2025 – 2028), Joint Supervisor. Thesis: Microservice Sharing, Validation and Development for Collaborative Analytics. University of New South Wales
- Yuyan Wang, Ph.D. (2025 – 2028), Joint Supervisor. Thesis: Analyzing the Impact of ESG Using AI Methods. University of New South Wales
- Piyavachara Nacchanandana, M.Phil (2024 – 2026), Primar Supervisor. Thesis: Design Patterns for Fine-tunning Large Language Models for Teaching and Learning. University of New South Wales.
- Ali Alyatimi, Ph.D. (2023 – 2026), External Supervisor. Thesis: Multi-Omics Data Integration for Disease Diagnosis Using Deep Learning. University of Sydney
- Muhammad Iqbal, Ph.D. (2023 – 2026), External Supervisor. Thesis: Collaborative Classification for Rare Diseases Across Distributed Healthcare Institutes. University of Sydney
- Aya Tafech, Ph.D. part-time (2022 – 2028), Joint Supervisor. Thesis: Anomaly Detection and Categorisation in Financial Regulatory Reporting. University of New South Wales
- MingqinYu, Ph.D. (2021 – 2024), Joint Supervisor. Thesis: an ESG metrics management system for sustainable financial applications.
- Lakshmi Sankaran, Ph.D. (2020 – 202), External Supervisor. Thesis: Elastic Intelligent Cloud Architecture for Academic Community Infrastructure. Christ University.
My Teaching
- Computer Science Capstone Project – COMP3900
- IT Capstone Project – COMP9900
- Engineering Desing and Professional Practice – DESN2000
- Software Engineering Workshop 3 – SENG3310
- Postgraduate Engineering Research Essentials – GOSE9400
- Software Engineering Workshop 1 – SENG1031
- Agile Software Development Practices
- Computing 4 Innovation
- Software Development Capstone Project
- Advanced Computer Science Capstone Project
- Enterprise Scale Software Architecture