Dr Atul Sajjanhar

Positions Held

2017 (Jul-Oct), Visiting Researcher, Univ. of Elect. Sc. & Tech. of China

2007, Lecturer, Deakin University

2003, Associate Lecturer, Deakin University

2002, Associate Lecturer, University of Southern Queensland

1997, Institute for Infocomm Research, A*STAR, Singapore

1997, Research Assistant, Monash University

Pattern recognition

Machine Learning

Deep Learning

Learning Analytics

Enterprise Applications Development

Web Technologies and Development

Distributed Systems

Cyber-physical systems

SIT107 - Connecting the Cyber and Physical Worlds

SIT203 - Web Programming

SIT323 - Cloud Application Development

SIT374 - Team Project (A) - Project Management and Practices

SIT378 - Team Project (B) - Execution and Delivery

SIT780 - Enterprise Applications Development

SIT774 - Web Technologies and Development

SIT231 - Advanced Database Systems

SIT104 - Introduction to Web Development

SIT102 - Introduction to Programming

SIT725 - Advanced Software Engineering

SIT371 - Java Programming

SIT790 - Major Thesis

SIT792 - Minor Thesis

Senior Member, IEEE

Editorial Board

• International Journal of Web Services Research (IJWSR)
• Frontiers in Computational Neuroscience

MSc/PhD External Examiner

• Federation University, Australia
• Macquarie University, Australia
• Southern Cross University, Australia

Journal Reviewer

• Pattern Recognition Letters
• IEEE Transactions on Services Computing
• Software: Practice and Experience, Scholar One Inc.
• IET Image Processing
• Cognition, Technology and Work, Springer
• Electronics, MDPI, Switzerland

Externally Funded Projects

• 2022, $15,000 International Education Resilience Fund, Augmented Reality (AR) Enhanced Analytics for Engaging and Evaluating Participants, PhD Internship.
• 2020-2022, $56,000 Blockchain Enabled Al Driven E-Marking Platform - PhD Scholarship
• 2020-2021, $15,000 Defence Science Institute, Analysis of Eye Fixation Data, PhD top-up scholarship.
• 2019, $15,000, Cyber Security Cooperative Research Centre Honours Scholarship https://www.cybersecuritycrc.org.au/ , Deep Learning for Insider Threat Detection
• 2019, $13,500, Forest Classroom Augmented Reality Project.
• 2018, $55,000, Enterprise Applications for Supply Chain and Logistics
• 2017, $50,000, Information Oriented Fog Servers in National Parks

Other Projects

• 2019, Deakin UserX Network $3600, UX Framework in the Cultural Heritage Domain
• 2019-2020, Deakin UserX Network $10000, AR project
• 2015, Faculty of SEBE, $6000, Experiential Learning Framework for Environmental Science
• Cloud Connected Weather Station
• Deep Learning for Facial Expression Recognition
• Collaborative Platform for Water Industry Digitisation, School of Engineering

Research Supervision

• Cognitive Workload Detection Based on Eye-Tracking Data (Hadia Tazeem, PhD candidate)
• Federated Learning for IoT (Yuechao Ren, PhD candidate)
• Federated Learning (Jun Bai, PhD candidate)
• Blockchain Enabled Al Driven E-Marking Platform (Nai Wang, PhD candidate)
• Deep Learning for Insider Threat Detection (Gayathri Gopinathan Nair, PhD completed 2023)
• User Experience Framework for Interactive Technologies in Cultural Heritage Domain (Duyen Lam, PhD, completed 2022)
• Generative Probabilistic Models for Detection and Analysis of Astroturfing Groups in Online Social Networks (Noora Alallaq, completed 2020)
• Computational Models and Approaches for Lung Cancer Diagnosis (Hasseeb Azzawi, PhD completed 2019)
• Cancer Prognosis Based on Knowledge Discovery from Clinic and Biological Data Sets (Russul Al-Anni, PhD completed 2019)
• Sub-graph ensembles for efficient causal discovery in high-dimensional datasets (Sachin Clement, MSc (research), completed 2019)
• Persuasive Technologies for Online Help-Seeking (Manjeet Singh, MSc (research), completed 2018)
• Robust Approaches for Face Recognition (Ahmed Mohamed, PhD, completed 2018)