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Teaching & Supervision
Teaching and Research Supervision
Courses taught by institution and research supervision are listed below.
Courses by institution
Teaching Profile
Melbourne Institute of Technology, Sydney
Lecturer
Principal HDR Supervisor
Units taught12 units
MN690Research Methods and Project Management
MN692Capstone Project
MR601Research Proposal and Literature Review
MN504Networked Application Management
BN111Programming Fundamentals
MN503Overview of Internetworking
MN621Advanced Network Design
MN502Overview of Network Security
BN305Virtual Private Networks
MN506System Management
MN404Fundamentals of Operating Systems and Programming
MN624Digital Forensics
CQUniversity, Sydney
Academic Casual
Units taught3 units
COIT11238Networked Infrastructure Foundations
COIT29226Introduction to Internet of Things
COIT20261Network Routing and Switching
Additional higher-education teaching
Data Analytics, Machine Learning and Advanced Topic in IT
Selected units taught in other higher-education settings.
Selected units3 units
Data Analytics
Machine Learning
Advanced Topic in IT
Iqra University, Karachi
Assistant Professor / Lecturer
Subjects taught14 subjects
Artificial IntelligenceDigital Image ProcessingNumerical ComputingOperating SystemsCommunication SystemsProgramming FundamentalsProbability & StatisticsIntroduction to PythonDigital Logic DesignData Communication & NetworksInformation Theory & CodingFPGA Based System DesignComplex Variables & TransformsBasic Electrical Engineering
Research supervision
Research Students & Thesis Status
Master of ICT Research students supervised or co-supervised at Melbourne Institute of Technology.
| Student | Program | Institute / University | Thesis title | Status |
|---|---|---|---|---|
| Md Asif Hasan TalukderSupervisor | Master of ICT Research | MIT, Australia | A Deep Learning Approach to Enhance Traffic Crash Severity Prediction and Road Safety with Explainable AI | Submitted |
| Sunaina KumarCo-supervisor | Master of ICT Research | MIT, Australia | Explainable Machine Learning for Wearable Fall Detection | Submitted |
| Sina EhtejabCo-supervisor | Master of ICT Research | MIT, Australia | CARE-Net: In-depth nutritional monitoring with Clemson dataset: CTC-Based Eating Detection | In Progress |
| Rupali KarSupervisor | Master of ICT Research | MIT, Australia | Enhancing the Privacy-Utility Balance in Federated Healthcare Through an Adaptive Differential Privacy Approach | In Progress |
| Suove BoharaSupervisor | Master of ICT Research | MIT, Australia | Privacy-Preserving Federated Learning with Adaptive Differential Privacy for Improved Accuracy | In Progress |
| Rit Bahadur K CSupervisor | Master of ICT Research | MIT, Australia | A Lightweight Explainable Machine Learning-Based Intrusion Detection System Using SHAP and LIME Guided Static Feature | In Progress |
| Gaurab PoudelSupervisor | Master of ICT Research | MIT, Australia | Hybrid Static and Dynamic Malware Analysis of ELF Binaries Using Machine Learning for IoT Applications | In Progress |
| Bishal BhandariSupervisor | Master of ICT Research | MIT, Australia | Enhancing Malware Detection Performance with Explainable AI (XAI) and Sysmon Behavioural Analysis | In Progress |