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 is a Teaching Fellow in the School of Information Technology at Deakin University, with experience teaching and leading undergraduate and postgraduate education across computer science and information technology. His teaching spans computer systems, programming, cloud-native applications, web development, cybersecurity and professional practice, and he has contributed to unit coordination, curriculum enhancement, assessment design and teaching-team collaboration. His teaching also extends to Deakin's international partnership programs, contributing to teaching and academic engagement with partner institutions in Sri Lanka and Chitkara University in India.

 

His teaching philosophy is centred on student-centred and active learning, with a strong emphasis on helping students progressively develop their knowledge, confidence and independence. His areas of particular interest include authentic and portfolio-based assessment, learning design, formative feedback, student engagement, and the responsible use of Generative AI in education. He is particularly interested in designing assessment and learning activities that connect technical knowledge with practical application while supporting academic integrity and meaningful student learning.

 

Muhammad's teaching practice has been recognised through strong student satisfaction outcomes and teaching excellence recognition, including the 2025 School of Engineering and Built Environment Teaching Excellence Award. He was also part of a Deakin teaching team recognised for teaching excellence in 2023 and was recognised for high student satisfaction at Swinburne University in 2022.

 

His current teaching and learning scholarship explores the design of GenAI-aware portfolio-based assessment, including the role of oral and interactive assessment components in strengthening academic integrity, encouraging meaningful student engagement and supporting appropriate use of Generative AI. He continues to collaborate with colleagues on curriculum, assessment and learning-design initiatives aimed at 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