DrMuhammad Islam

Teaching Fellow

Faculty of Science Engineering and Built Environment/School of Information Technology

  • Teaching Fellow
    Faculty of Science Engineering and Built Environment/School of Information Technology
  • +61392517175 (Work)
  • Melbourne Burwood Campus, 221 Burwood Highway, Burwood, Victoria 3125

TEACHING EXPERTISE

Muhammad has experience teaching and coordinating undergraduate and postgraduate units across computer science and information technology. His teaching expertise spans computer systems, programming, cloud-native application development, web development, cybersecurity and professional practice. Through unit leadership, curriculum development, assessment design and teaching-team coordination, he contributes to the delivery and continuous improvement of practice-oriented Information Technology education.

 

His teaching philosophy is grounded in student-centred, active and authentic learning, with an emphasis on helping students progressively develop technical understanding, confidence and independent learning capabilities. He incorporates interactive learning activities, collaborative problem-solving, formative feedback and portfolio-based assessment to connect theoretical concepts with practical applications. His approach focuses on creating supportive and inclusive learning environments where students are encouraged to actively engage with technical challenges and demonstrate their developing professional competencies.

 

Muhammad takes a reflective and feedback-informed approach to curriculum and assessment improvement. Through his unit leadership responsibilities, he has implemented supplementary instructional videos, dedicated assessment-guidance channels and structured learning support to improve the accessibility and clarity of learning resources. He also collaborates with academic colleagues and teaching teams to review learning activities, refine assessment practices and identify opportunities for curriculum enhancement.

 

A particular focus of Muhammad's educational practice and scholarship is authentic assessment, academic integrity and the responsible integration of Generative AI in higher education. His teaching incorporates oral discussions and interactive competency checks that encourage students to explain, demonstrate and reflect on their learning. Building on these practices, he continues to explore GenAI-aware portfolio-based assessment approaches that foster meaningful engagement, independent learning and the development of practical competencies. His broader teaching interests reflect a commitment to educational innovation, professional development and improving the student learning experience.

TEACHING ACTIVITIES

  • UNIT CHAIR
    SIT774 Web Technologies and Development
    1 Aug 2025 - 1 Feb 2026
  • UNIT TAUGHT
    SIT722 Software Deployment and Operation
    1 Aug 2025 - 1 Nov 2025
    Campus Coordinator
  • UNIT TAUGHT
    Computer Systems
  • UNIT TAUGHT
    Cloud Native Application Development
  • UNIT TAUGHT
    Professional Practices in IT
  • UNIT TAUGHT
    Object Oriented Programming
  • UNIT TAUGHT
    Introduction to Programming
  • UNIT TAUGHT
    Full Stack Development
  • UNIT TAUGHT
    Big Data and Computer Architecture
  • UNIT TAUGHT
    Data Structures and Patterns
  • UNIT TAUGHT
    Computer Networks and Communication
  • UNIT TAUGHT
    Software Security
  • UNIT TAUGHT
    Cryptocurrencies & Decentralized Ledgers
  • UNIT TAUGHT
    Big Data Architecture and Applications
  • UNIT TAUGHT
    Introduction to Data Science
  • UNIT TAUGHT
    Analytics for Security and Privacy
  • UNIT TAUGHT
    Cyber Security Management
  • UNIT TAUGHT
    IoT Systems Engineering
  • TEACHING AND LEARNING INITIATIVE DEVELOPED
    Evaluating Oral Components in Portfolio-Based Assessment for Academic Integrity, Quality Assurance, and Enhanced Student Learning
    I am currently working on a project titled “Evaluating Oral Components in Portfolio-Based Assessment for Academic Integrity, Quality Assurance, and Enhanced Student Learning.” The aim of this work is to evaluate the existing oral assessment components and develop a more effective approach for conducting them. In particular, the project seeks to strengthen academic integrity, support the appropriate and meaningful use of Generative AI in learning, and enhance students’ ability to explain and justify their work. At the same time, it aims to ensure fairness for students and identify a balanced approach that considers the additional workload oral components may create for teaching staff.
  • TEACHING EXPERIENCE
    Casual Tutor at School of IT, Deakin University
    6 Mar 2023 - 24 Feb 2025
  • TEACHING EXPERIENCE
    Sessional Lecturer at department of computing technologies, Swinburne University of Technology
    3 Aug 2020 - 24 Feb 2025
  • UG, HONOURS OR MASTERS DEGREE SUPERVISION
    Response-Time Optimisation in IoT-Based Underground Mine Hazard Detection Systems
    1 Mar 2026