Ms Parisasadat Shojaei | Cybersecurity and Privacy | Distinguished Scientist Award

PhD Candidate, University of Wollongong, Australia. 

Parisasadat Shojaei is a PhD candidate in Computer Science at the University of Wollongong, Australia. Her interdisciplinary expertise bridges computer engineering, privacy-enhancing technologies, and AI-driven health informatics. With over a decade of teaching and industry experience in Iran and Australia, Parisa has mentored students, led IT projects, and contributed to cross-functional research in data privacy and cybersecurity. Her PhD research explores user-centric privacy frameworks in mobile health (mHealth) applications. She has worked on high-impact projects, including data analysis in DEI initiatives and cloud security practices. With a solid background in both academia and industry, Parisa combines practical software development skills with academic rigor. She has published several peer-reviewed papers, presented at international conferences, and earned multiple awards for academic excellence and research contributions. Passionate about ethical AI and inclusive technologies, she continues to bridge the gap between secure system design and user trust.

Profile

google scholar

📘 Education 

Parisa holds a Bachelor and Master of Science in Computer Engineering – Software from Islamic Azad University, Iran, where she earned accolades such as the Best Graduate Student Award. She is currently pursuing a PhD in Computer Science (Information Science) at the University of Wollongong, Australia. Her thesis, “Developing Effective Privacy-Enhancing Guidelines for Designing mHealth Applications,” is supervised by Dr. Elena Vlahu-Gjorgievska and A/Prof. Casey Chow. Her education blends deep technical skills in software engineering with specialized training in data privacy, health informatics, and cybersecurity. In addition to her formal education, Parisa has earned numerous certifications from institutions like HarvardX, CIW, and TsinghuaX, covering topics such as Python for Research, AI, Data Science, and Web Development. Her continued education through workshops and online learning platforms reflects a dedication to lifelong learning and staying current with emerging technologies.

🧑‍💻 Experience 

Parisa brings a robust mix of academic, industrial, and research experience. She is currently a PhD candidate and demonstrator at the University of Wollongong, teaching subjects like Web Development, Cryptography, AI, and Cybersecurity. Professionally, she has served as a web developer and data analyst in Australia, working with Cultural Infusion and Metallum Fabrication Pty Ltd, where she applied her skills in GDPR compliance, AWS security, and data visualization. Previously in Iran, she held roles as a software developer, web designer, and lecturer across several universities and tech institutes. She led research in AI, machine learning, and cybersecurity, contributing to numerous publications and national conferences. Her leadership includes mentoring PhD students, managing research projects, and coordinating industrial collaborations. Parisa excels in interdisciplinary teamwork, cloud computing, and privacy-enhancing technologies, seamlessly integrating theoretical research with practical implementations.

🔬 Research Focus 

Parisa’s research is deeply rooted in the intersection of privacy, cybersecurity, and digital health technologies. Her PhD research is centered on creating privacy-enhancing guidelines for the design of mHealth (mobile health) applications, integrating user-centric design principles with secure architecture. She investigates how privacy perceptions influence user behavior and trust in digital health systems. Her previous research includes evolutionary algorithms, task scheduling in cloud computing, fuzzy systems for intrusion detection, and AI-driven optimization models. Recently, her work has expanded to data ethics, cloud-based privacy-preserving technologies, and GDPR-compliant frameworks in DEI data management. Her approach combines quantitative methods, machine learning models, and empirical user studies. Parisa is particularly interested in bridging the gap between theoretical privacy models and real-world application usability, contributing toward more ethical and secure tech ecosystems. Her contributions aim to support inclusive, transparent, and user-trusted digital infrastructures in healthcare and education sectors.

📚 Publication Top Notes

1. 🧠📱 Enhancing Privacy in mHealth Applications: A User-Centric Model Identifying Key Factors Influencing Privacy-Related Behaviours

2. 🔒📊 Security and Privacy of Technologies in Health Information Systems: A Systematic Literature Review

3. 🌌👩‍🍼 Developing and Testing a Mobile Application for Breastfeeding Support: The Milky Way Application

4. 🧮☁️ An Approach to Optimized Imperialist Competitive Algorithm for Task Scheduling in Cloud Computing

5. 🐝⏱️ A Hybrid Particle Swarm Optimization for Task Scheduling in Cloud Computing

6. 🧬📦 An Approach to Optimized Genetic Algorithm for Task Scheduling in Cloud Computing

7. 🎯🚦 Threshold Acceptance Approach for Task Scheduling in Cloud Computing

8. 🐜🔍 A Hybrid Algorithm for Task Scheduling Based on Ant Colony Optimization and Local Neighborhood Search

9. 🛡️🧠 Intelligent Intrusion Detection Using Fuzzy Imperialist Competitive Algorithm

10. 🧿📘 A Hybrid Algorithm for Task Scheduling Based on Binary Particle Swarm Optimization and Local Neighborhood Search