Dr. Hasan Ali Khattak (0000-0002-8198-9265)

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Biography

Hasan Ali Khattak is a Senior Lecturer at Western Sydney University, Australia, and an Associate Professor of Computer Science at the School of Electrical Engineering and Computer Science at the National University of Sciences and Technology (NUST), Islamabad, Pakistan. He received his Ph.D. in Electrical and Computer Engineering from Politecnico di Bari, Bari, Italy, in April 2015, a Master's degree in Information Engineering from Politecnico di Torino, Torino, Italy, in 2011, and a B.CS degree in Computer Science from the University of Peshawar, Pakistan, in 2006. With more than 12 years of teaching experience at different universities in Oman, Australia, Italy, and Pakistan, he has served in many roles, which include course coordinator, theme leader, and industry liaison focal person. He has contributed to various committees in different roles for accreditation to the Washington Accord, Australian Computer Society, and Pakistan Higher Education Commission for graduate and undergraduate program accreditation.

He has more than four dozen Master's students who are mainly pursuing their doctorates in international universities. With several funded projects completed and many PhD students who graduated, his current research interests focus on future Internet architectures such as the Web of Things and leveraging data sciences and social engineering for future smart cities. In addition to publishing in suitable research venues, he has a cumulative impact factor of 300+, with more than 120 publications in well-reputed journals.

Along with completing successfully funded National and International projects, he also serves as a reviewer in reputed venues such as IEEE Access, IEEE Network Magazine, IEEE Consumer Electronics, Hindawi, SAI, IET, and a few national publishers. He is currently involved in several funded research projects in various domains, such as healthcare information management, semantic web of things, and fog computing, and he is exploring ontologies and other semantic web technologies.

He is an active Senior Member of IEEE, a professional member of ACM, and a member of societies such as IEEE ComSoc, IEEE VTS, and Internet Society.

- 2025 Senior Lecturer (Casual) School of Computing, Faculty of Science and Engineering, Macquarie University Sydney.

- 2024 Senior Lecturer (Casual) School of Computer, Data and Mathematical Sciences, Western Sydney University, Sydney, Australia

- 2024 Associate Professor - Faculty of Computing and Information Technology (FCIT), Sohar University, Oman

- 2020 Associate Professor - School of Electrical Engineering and Computer Science, National University of Sciences and Technology - Pakistan (2020 - present)

- 2016 Assistant Professor - Computer Science COMSATS University Islamabad - 44500, Pakistan. (2016 - 2020)

- 2015 Ph.D. - Electrical and Information Engineering (Architectures for the Semantic Web of Things - Prof. Eugenio Discia Scio and Prof. Michele Ruta, Politecnico di Bari, Bari - 71000, Italy. (2012 - 2015)

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Western Sydney University: Richmond, AU

2025-01 to present | Senior Lecturer (School of Computer, Data and Mathematical Sciences )

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Dr. Hasan Ali Khattak

https://orcid.org/0000-0002-8198-9265

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Employment (8)

Western Sydney University: Richmond, AU

Macquarie University: Sydney, AU

National University of Sciences and Technology: Islamabad, ICT, PK

Sohar University: Sohar, Al Batinah North Governorate, OM

COMSATS University Islamabad: Islamabad, Islamabad, PK

Iqra National University: Peshawar, PK

Politecnico di Bari: Bari, Puglia, IT

Politecnico di Torino: Torino, Piemonte, IT

Education and qualifications (4)

Politecnico di Bari : Bari, Puglia, IT

Politecnico di Torino: Torino, Piemonte, IT

National University of Sciences and Technology: Rawalpindi, Islamabad, PK

University of Peshawar: Peshawar, PK

Funding (3)

SDN Southbound API security

Semantic Researcher Repository

Smart Patient Monitoring for elderly

Works (50 of 127)

Current Trends and Advances in Extractive Text Summarization: A Comprehensive Review

A Decentralized Environment for Biomedical Semantic Content Authoring and Publishing

Deep Acoustic Modelling for Quranic Recitation - Current Solutions and Future Directions

Efficient economic energy scheduling in smart cities using distributed energy resources

Multi-Branch Sustainable Convolutional Neural Network for Disease Classification (vol 33, pg 1621, 2023)

Vision-Based 3-D Localization of UAV Using Deep Image Matching

A comprehensive review of artificial intelligence approaches for smart grid integration and optimization

Deep Acoustic Modelling for Quranic Recitation – Current Solutions and Future Directions

Empirical Performance Evaluation of Open Source SDN Controllers in different Network Topologies

Fog Resource Sharing to Enable Pay-Per-Use Model

Identification of small Inhibitors for Human Metadherin, an Oncoprotein, through <i>in silico</i> Approach

Location-Dependent Query Processing: Semantic Cache for Real-Time Smart City Analytics (Retraction of Vol 2021, art no 9958647, 2021)

Preventing Adversarial Attacks on Autonomous Driving Models

Summarization of scholarly articles using BERT and BiGRU: Deep learning-based extractive approach

Multi‐branch sustainable convolutional neural network for disease classification

Deep reinforcement learning approach towards a smart parking architecture

Leveraging Deep Learning for Designing Healthcare Analytics Heuristic for Diagnostics

Intracranial Hemorrhage Detection Using Parallel Deep Convolutional Models and Boosting Mechanism

A dynamic load balancing mechanism for fog computing environment

An Efficient Fault-Prediction Mechanism for Improving Yield in Industry 5.0

Data Mining Techniques for Heart Disease Prediction: A Computational Model

Evaluating Readiness for Technology Integration in the Classroom Post-Pandemic

Explainable Prediction of Medical Codes through Automated Knowledge Graph Curation Framework

Optimization Techniques for Scheduling IoT tasks in Fog-based Environments

Research Collaboration Influence Analysis Using Dynamic Co-authorship and Citation Networks

EdgeTrust: A Lightweight Data-Centric Trust Management Approach for IoT-Based Healthcare 4.0

Detection of Diseases in Pandemic: A Predictive Approach Using Stack Ensembling on Multi-Modal Imaging Data

Achieving data privacy for decision support systems in times of massive data sharing

Compact Convolutional Transformer (CCT)-Based Approach for Whitefly Attack Detection in Cotton Crops

Multi‐tier authentication schemes for fog computing: Architecture, security perspective, and challenges

Collaborative multi-agents in dynamic industrial internet of things using deep reinforcement learning

Towards an effective model for lung disease classification

Smart Healthcare System for Severity Prediction and Critical Tasks Management of COVID-19 Patients in IoT-Fog Computing Environments

Cross-Domain Security and Interoperability in Internet of Things

Recovering Latent Data Flow from Business Process Model Automatically

Overview of smart grid implementation: Frameworks, impact, performance and challenges

Secure Delegation Using Enhanced Capability Model

Effective Task Scheduling in Critical Fog Applications

Fast Data Access through Nearest Location-Based Replica Placement

Energy forecasting using multiheaded convolutional neural networks in efficient renewable energy resources equipped with energy storage system

Multi-Factor Rear-End Collision Avoidance in Connected Autonomous Vehicles

Carpooling in Connected and Autonomous Vehicles: Current Solutions and Future Directions

A hybrid machine learning framework to predict mortality in paralytic ileus patients using electronic health records (EHRs)

A systematic review of bio-cyber interface technologies and security issues for internet of bio-nano things

A Systematic Review of Bio-Cyber Interface Technologies and Security Issues for Internet of Bio-Nano Things

A Systematic Review of Bio-Cyber Interface Technologies and Security Issues for Internet of Bio-Nano Things

Android based Emotion Detection Using Convolutions Neural Networks

EdgeTrust - A Lightweight Data-centric Trust Management Approach for Green Internet of Edge Things

EdgeTrust - A Lightweight Data-centric Trust Management Approach for Green Internet of Edge Things