Teaching Philosophy
My teaching philosophy aims to achieve effective learning outcomes by engaging students in an interactive environment. I build my strategy by providing a reasonable theoretical background of the topic and helping students implement their understanding through practice and discussion. My teaching strategies revolve around four key factors:
Students
As an educator, I need to know my students' backgrounds, previous teaching experiences, and aims when enrolling them in my units.
Content
I ensure that the prepared course content matches the unit's learning outcomes, is up to date, covers both theoretical and practical aspects of the topic, and is easily digestible by the students.
Environment
I always strive to create a comfortable yet challenging environment to facilitate interaction between myself and the students and achieve high learning standards.
Teaching Methods
I understand that students learn differently, and I utilize multiple teaching methods and modes of instruction (visual, auditory, and read/write) in the classroom.
Courses Taught
I mainly teach Data Science and Computer Vision subjects at the University of Canberra, where the Introduction to Data Science unit serves as the entry point for Master of Data Science students, and the Data Science Technology and Systems and Computer Vision and Image Analysis subjects are at the exit level (i.e., the final semester for MITS and MDS students).
Current Courses (University of Canberra)
| Course | Period |
|---|---|
| Computer Vision and Image Analysis (11376) | 2024, S1 & 2025, S1 |
| Computer Vision and Image Analysis G (8890) | 2024, S1 & 2025, S1 |
| Introduction to Data Science (11372) | S2,2019 – S1,2025 |
| Introduction to Data Science G (11516) | S2,2019 – S1,2025 |
| Data Science Technology and Systems (PG) | S2,2021 – S2,2024 |
Previous Courses (Zagazig University, Egypt)
- Computer Vision and Image processing
- Computer Graphics
- Algorithms and Data Structure
- Programming with C/C++
Student Supervision
Current PhD Students
| Student | Role | Period | Thesis Title |
|---|---|---|---|
| Pritesh Contractor | Primary supervisor | 2024-2028 | Decoding Social Interactions: Advancing Visual Recognition of Human Relationships and Dynamics |
| Adnan Adnan | Co-supervisor | 2024-2028 | Exploring AI Automation, decision making and its cognitive abilities |
| James Ireland | Co-Supervisor | 2021-2025 | An Automatic Non-Invasive Array of Sensors for the Tracking of Tools and Materials Used in Procedural Operations |
Former PhD Students
| Student | Role | Period | Thesis Title |
|---|---|---|---|
| Ravikiran Parameshwara | Primary supervisor | 2021-2024 | Determining Affect Intensity on a Continuous Range |
| Soujanya Narayana | Co-Supervisor | 2021-2024 | Joint Spatio-Temporal Modelling of Human Mood and Emotion |