جست‌وجوی استاد و پژوهشگر

Chetan Aroraمشاهده پروفایل

مدرس ارشد

• Applied Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +۵ مورد دیگر

Dr. Chetan Arora is a Senior Lecturer in Software Engineering at Monash University's Faculty of IT, specializing in applied Artificial Intelligence (AI), including Machine Learning (ML) and Natural Language Processing (NLP). He serves as Director of Education (SSC) at the Faculty of IT and leads research in requirements engineering, software trustworthiness, and satellite communication (SatCom). His work contributes to UN SDGs related to education and innovation. Education : PhD in Computer Science, University of Luxembourg (2016) Masters in Software Engineering, Technische Universität Kaiserslautern (Germany) Bachelor's in Computer Science, Thapar University (India) Research Interests : Focus on AI-driven requirements engineering, generative AI applications in software development, and human-centric cybersecurity. Recent work explores ethical AI, persona-based design, and IoT integration in critical systems. Recent Research Trends : Over 65 publications since 2013, with 2025 highlighting generative AI's role in requirements engineering, ethical AI practices, and persona-driven design. 2024 research emphasizes optimization algorithms for EV networks and LLM-driven modeling. Awards : Best PhD Thesis Award (University of Luxembourg, 2016) ACM SIGSOFT Distinguished Paper Award (2022) Multiple Best Paper Awards at IEEE/ACM Conferences Grants & Collaboration : Secured >$1.1M in grants as Lead CI. Active in projects like RAISE: Responsible AI Software Engineering and GenAI-Powered ICT Education . Collaborates with industry partners like Episoft Pty Ltd and Swordfish Computing. Labs/Teams : Leads initiatives in the Department of Software Systems & Cybersecurity Impact Labs, focusing on AI ethics and human-centric software systems. Member of the International Requirements Engineering Board (IREB).

Basem Suleimanمشاهده پروفایل

مدرس ارشد

• AI-driven Software Services
• Applied Artificial Intelligence (GenAI/LLM, Machine Learning)
• Education Technologies (Personalized Learning)
• +۴ مورد دیگر

Dr. Basem Suleiman is an Adjunct Senior Lecturer in Advanced Computing at the University of Sydney and Deputy Director of the Software Engineering Program at UNSW Sydney. He holds a Ph.D. in Computer Science from UNSW (2012) and has over a decade of experience in academia and industry, including roles at SAP, CSIRO’s Data61, and leading universities. Education: Ph.D. in Computer Science, UNSW Sydney (2012) Graduate Certificate in Research Commercialization & Management, UNSW Sydney Master of Computing (Software Engineering), Western Sydney University Research Interests: AI-driven Software Services: Federated Learning, Recommender Systems, Human-Machine Interaction Applied AI: GenAI/LLMs, Machine Learning, Deep Learning for FinTech, Healthcare, and Education Cloud Computing: Elasticity, Workload Management, Privacy-Preserving Techniques Key Contributions: Developed AI models for structural health monitoring, personalized learning systems, and anomaly detection Secured research grants and published 80+ papers in venues like ACM Transactions, IEEE Conferences, and IJCAI Supervised 15+ PhD/MPhil students and led industry partnerships with SAP, CSIRO, and global tech firms Awards & Recognition: Runner-up Best Paper Award (2023) Dean’s Commendation for Teaching Excellence Invited Keynote Speaker (2022 ICoSEIT) Engagement: Leads industry collaborations as UNSW’s Industry Capstone Liaison Officer, fostering partnerships for student projects and curriculum innovation.

• Artificial Intelligence
• Machine Learning
• Software Engineering
• +۴ مورد دیگر

Professor Mohamed Abdelrazek is a Professor of Software Engineering and Research Professor at the Applied Artificial Intelligence Institute (A2I2) within Deakin University. He holds a PhD in Cloud Computing Security from Swinburne University of Technology and a Graduate Certificate in Higher Education Learning & Teaching from Deakin University. His research focuses on robust AI/ML systems, including GenAI and RL approaches, with emphasis on automated software engineering, cybersecurity, distributed systems, and data science. Education: PhD in Cloud Computing Security (Swinburne University of Technology), Graduate Certificate in Higher Ed Learning & Teaching (Deakin University). Research Interests: AI/ML systems, software security, empirical software engineering, data analytics, and human-centered computing. His work spans over 20 years of industry and academic experience, including roles as a senior research fellow and software development manager. He has secured grants totaling millions of AUD from agencies like CSIRO, the Department of Defence, and Telethon Kids Institute, focusing on AI-driven solutions in healthcare, cybersecurity, and robotics. Professor Abdelrazek supervises numerous doctoral and master’s students in topics ranging from robust ML systems to mHealth applications. His recent publications address challenges in AI ethics, cybersecurity, and healthcare technology, emphasizing practical, real-world applications. Key Contributions: Frameworks like 6DVF for mHealth visualization, blockchain service platforms, and reinforcement learning-based cyber-attack simulation tools.