Dr. Shahrzad Saremi
Founder · Director · Lecturer, ICT and Computer Science
Program Coordinator: Bachelor of Information and Communications Technology
Australia
About
Dr Shahrzad Saremi is a researcher and academic with over a decade of experience in computing and information technology. She has published more than 20 high-impact journal articles, attracting over 15,000 citations, reflecting the significant international reach of her research contributions.
Her research spans multiple interdisciplinary domains, including bio-inspired optimisation algorithms, human–computer interaction (HCI), machine learning, Internet of Things (IoT), Internet of Vehicles (IoV), and Smart Health Home systems. She is widely recognised for her co-development of nature-inspired metaheuristic algorithms, including the Grasshopper Optimisation Algorithm and Salp Swarm Algorithm, which are extensively applied to complex engineering and computational challenges. Her work in HCI investigates user experience, gesture recognition, augmented reality, and creative technologies, with a particular focus on design education and knowledge management in organisational settings.
She also explores knowledge-sharing behaviours in organisational and educational settings, examining the interplay between motivation and culture to enhance learning and risk management outcomes. Her research combines technical innovation with human-centred inquiry.
Dr Saremi is deeply committed to fostering engaging, student-centred learning environments and is passionate about mentoring the next generation of researchers.
15,573 citations (12,216 since 2021) · h-index 21 (18 since 2021) · i10-index 22 (21 since 2021) · Google Scholar, 6 Oct 2026
Affiliation
School of Science, Technology and Engineering, University of the Sunshine Coast
Research
Expertise
- Human-Computer Interaction (HCI): gesture detection, hand posture estimation, augmented reality frameworks for learning, user interface design and human-centred interaction
- Artificial Intelligence and Machine Learning: deep learning, optimization algorithms, multi-objective optimization, neural networks, and AI applications in education and enterprise systems
- Information Technology Education: curriculum design, teaching and learning methodologies, IT professional practice, cybersecurity education and data analytics training
- Optimization and Metaheuristics: evolutionary algorithms, nature-inspired optimization (grasshopper, grey wolf, particle swarm), hand shape optimization and multi-objective problem solving
- Emerging Technologies: blockchain, Internet of Things (IoT), data visualization and augmented reality, with applications in education and enterprise
Research areas
Research interests
Research grants
- LAUNCH Partnership Grant (2026), University of the Sunshine Coast. Lead Investigator, $29,357. Project: “Rapid MRI-Based Knee Segmentation: Leveraging Deep Learning for Patient-Specific 3D Models and Clinical Translation”.
Supervision
Dr Saremi actively supervises Higher Degree by Research (HDR) candidates and welcomes enquiries from motivated researchers whose interests intersect with her areas of expertise. Prospective domestic and international candidates are encouraged to reach out to explore potential research directions.
- Higher Degree by Research supervision at PhD and Master by Research level, in AI applications, health informatics and information systems, and Internet of Vehicles privacy.
- Hilda Jemutai Bitok (PhD): Preserving Privacy of Sensitive Information in Resource Constrained Internet of Vehicles Environment
Education & experience
Education
- PhD, Computer Science, Griffith University, Brisbane (2014–2018). Thesis: Evolutionary Hand Posture Estimation for Image-based Gesture Detection Systems
- Master of Science, Interaction Design, University of Queensland (2012–2014). Thesis: Marker Puzzle: A novel Augmented Reality framework for learning grammar in primary school
- Bachelor of Science, Information Technology, Multimedia University, Cyberjaya, Malaysia (2008–2011). Thesis: Using Augmented Reality in Calendar
- Graduate Certificate in Teaching and Learning, Torrens University Australia (2022–2023)
Experience
- 2025–present Program Coordinator, Bachelor of Information and Communication Technology, School of Science, Technology and Engineering, University of the Sunshine Coast
- 2025 Lecturer and Course Coordinator, Computer Organization and Operating System, University of the Sunshine Coast
- 2024–2025 Lecturer, Holmes Institute
- 2019–2025 Learning Facilitator, Torrens University
- 2019–present Adjunct Research Fellow, Griffith University
- 2014–2019 Lecturer and Research Assistant, Griffith College, Griffith University
Teaching
Teaching areas
Courses taught
University of the Sunshine Coast
Computer Organization and Operating System (Course Coordinator, 2025)
Holmes Institute
IS Governance and Risk; Database Design; System Analysis and Design; Computer Forensics; Leveraging IT Advantages for Managers; Professional Issues in IS Ethics and Practice
Torrens University
Creative Enterprises; IT Professional Practice; Data and Networking; Introduction to Programming; Cybersecurity; Secure by Design; Human Centred by Design; Big Data and Analytics; Deep Learning; Mathematical Foundation of AI; Cloud Computing; Microservices; Requirement Engineering; Data Modelling and Database Design
Griffith College
Computer Skills; Information System Foundations; Human Computer Interaction; Essential Mathematics; Information Design; Introduction to Computing; Foundation of Computing Systems; Digital Technologies
Skills & service
Technical skills
- Programming: Python, C++, MATLAB, Java, SQL
- Machine learning and AI: TensorFlow, PyTorch, Keras, Scikit-learn, OpenCV, NLTK
- Data analytics: Tableau, Power BI, Excel, R, SPSS, statistical modelling
- Web development: HTML5, CSS3, JavaScript, PHP, WordPress
- Design tools: Adobe Creative Suite, Canva, Figma, Edraw Max, MS Visio
- Development environments: Visual Studio Code, PyCharm, Jupyter Notebook, GitHub, GitLab, Docker
- Databases: MySQL, PostgreSQL, MongoDB, Oracle
- Cloud platforms: Google Cloud, AWS, Microsoft Azure
- Augmented reality: ARKit, ARCore, Unity, Unreal Engine
- Academic tools: LaTeX, Mendeley, EndNote, Zotero, Covidence
Languages
English, Persian (Farsi) and Azeri (native or bilingual); Turkish (professional working); Arabic (elementary)
Professional service
Reviewer for international conferences and journals in computer science and education. Adjunct Research Fellow, Griffith University (2019–present).
Awards
- Fellow of the Higher Education Academy (FHEA), 2026: Advance HE recognition of professional practice and excellence in higher education
- Selected for the 2026 Essence of Research Leadership Program, University of the Sunshine Coast
- Vice Chancellor’s Learning and Teaching Award, 2024
- Top 2 percent scientist in the Stanford/Elsevier list, 2023
- Pro Vice-Chancellor Research Commendation, 2021
- PSH (Professor Susan Holland) Casual Academic Performance Award, 2020
- Interviewed by Vogue as an active woman in AI (teaching and research), 2020
- IIIS Research Impact Awards, Griffith University, 2016
- Full scholarship for her PhD, Griffith University, 2014
- Her master’s thesis project (Marker Puzzle) was selected for display at the School of Information Technology and Electronic Innovation showcase at the University of Queensland
Publications
An IoT-aware certificateless signature scheme for protection against type-I and type-II super adversaries
Dadkhah, P.; Rastegari, P.; Dakhilalian, M.; Yeoh, P.; Wang, M.; Saremi, S.; … Gupta, B. B.
IoT, 7(2)
An extended community of inquiry framework for monitoring and predicting online peer learning participation
Dokhanchi, M.; Saremi, S.; Shibl, R.; Heidari, M.; Ahmed, H.; Mansoor, D.; … Mirzaei, M.
Journal of Applied Research in Higher Education, 18(8), 113–141
Crisis-induced hybrid learning, cognitive offloading, and generative AI reliance among Pakistani CS undergraduates
Ahmed, H.; Khan, A.; Fatima, A.; Mateen, A.; Saremi, S.; Shibl, R.; Rajaei, S.; Mirzaei, M.
Education Innovations: Systems and Future Learning, 1(1), 568–589
Cryptanalysis and improvement of the SMEP-IoV protocol: A secure and lightweight protocol for message exchange in IoV paradigm
Ghadim, G. O.; Rastegari, P.; Dakhilalian, M.; Hendessi, F.; Saremi, S.; Shibl, R.; … Nguyen, T. T.
IoT, 7(2), 31
EGenAI-DBR: A design-based framework for responsible generative AI integration in higher education
Saremi, S.; Mirzaei, M.; Rasti, A.; Nooraei Abadeh, M.; Varposhti, M.; Shibl, R.; Ahmed, H.; Aldakheel, S. K. A.; Mealy, E.; Wang, K.; Humphreys, D.
Education Innovations: Systems and Future Learning, 1(2)
Intrusion detection for the Internet of Medical Things: A cost-aware comparative benchmark of machine learning approaches
Ahmed, H.; Dermody, G.; Mateen, A.; Saremi, S.; Shibl, R.
Under review
Latent-space feature squeezing for adversarially robust intrusion detection on IoT edge devices
Mirzaei, M.; Saremi, S.; Khan, A.; Ahmed, H.; Rastegari, P.; Nooraei Abadeh, M.; Shibl, R.; …
International Journal of Intelligent Computing and Cybernetics, 19(4)
Mapping artificial intelligence and machine learning research in sports injury prediction: A bibliometric analysis
Kamalpour, M.; Saremi, S.; Shibl, R.; Mirzaei, M.; Bedford, A.; Mealy, E.
18th Australasian Conference on Mathematics and Computers in Sport
Protecting HWSNs from super adversaries with robust certificateless signcryption
Dadkhah, P.; Rastegari, P.; Dakhilalian, M.; Yeoh, P.; Wang, M.; Saremi, S.; Gupta, B. B.
Telecom, 7(2), 37
SELM-CTR: A stacking ensemble deep learning model with SHAP-based analysis for large-scale click-through rate prediction
Ali, Z.; Ahmed, H.; Khan, A.; Saremi, S.; Shibl, R.; Mirzaei, M.; Rastegari, P.; Wang, M.
International Journal of Intelligent Computing and Cybernetics, 19(3)
Temporal feature engineering for agricultural commodity price forecasting in Nigeria: Evaluating machine learning, deep learning and time-series approaches
Ogunjobi, D.; Shibl, R.; Saremi, S.
Journal of Agribusiness in Developing and Emerging Economies, 1–28
Three decades of AI in sports-related concussion research: A bibliometric analysis (1996–2026)
Ellethy, H.; Kamalpour, M.; Shibl, R.; Saremi, S.; Mirzaei, M.
18th Australasian Conference on Mathematics and Computers in Sport
AI-driven process innovation: Transforming service start-ups in the digital age
Azizi, N.; Akhavan, P.; Davison, C.; Haass, O.; Saremi, S.; Zaidi, S. F. M.
Electronics, 14(16), 3240
Integrating AI in online discussion tools: A critical perspective
Dokhanchi, M.; Saremi, S.; Mealy, E.; Shibl, R.
Proceedings of the Australasian Conference on Information Systems (ACIS 2025)
Identification and Ranking of Platforms, Strategies and Consequences of Implementing Green Human Resources Management with the Attitude of Persistent Organizational Development …
Saremi, S.; Kamali, N.; Najafi, A.
Razi Journal of Medical Sciences 30 (1), 305-314
Influence of motivational factors on knowledge sharing methods and knowledge creation process in an emerging economic context
Azizi, N.; Akhavan, P.; Ahsan, A.; Khatami, R.; Haass, O.; Saremi, S.
Knowledge Management & E-Learning: An International Journal 15 (1), 115-132
Designing a Green Human Resource Management Model with the Approach of Sustainable Organizational Development of the Staff of Iran University of Medical Sciences
Saremi, S.; Kamali, N.; Najafi, A.
Razi Journal of Medical Sciences 29 (7), 645-72
Exploring the Factors Affecting Sustainable Human Resource Productivity in Railway Lines. Sustainability 2022, 14, 225
Azizi, N.; Akhavan, P.; Philsoophian, M.; Davison, C.; Haass, O.; Saremi, S.
s Note: MDPI stays neutral with regard to jurisdictional claims in published …
Exploring the factors affecting sustainable human resource productivity in railway lines
Azizi, N.; Akhavan, P.; Philsoophian, M.; Davison, C.; Haass, O.; Saremi, S.
Sustainability 14 (1), 225
IoT–blockchain: harnessing the power of internet of thing and blockchain for smart supply chain
Azizi, N.; Malekzadeh, H.; Akhavan, P.; Haass, O.; Saremi, S.; Mirjalili, S.
Sensors 21 (18), 6048
Future trends in hand posture estimation
Saremi, S.; Mirjalili, S.
Optimisation Algorithms for Hand Posture Estimation. Springer, Singapore
Grasshopper optimization algorithm: Theory, literature review, and application in hand posture estimation
Saremi, S.; Mirjalili, S.; Mirjalili, S. Z.; Dong, J.
In Nature-Inspired Optimizers (pp. 107–122), Springer
HOGO: Hide objects game optimization
Dehghani, M.; Montazeri, Z.; Saremi, S.; Dehghani, A.; Malik, O.; Al-Haddad, K.; Guerrero, J.
International Journal of Intelligent Engineering and Systems, 13(4), 216-225
Introduction to hand posture estimation
Saremi, S.; Mirjalili, S.
Optimisation Algorithms for Hand Posture Estimation. Algorithms for Intelligent Systems. Springer, Singapore
A New 3D Hand Model, Hand Shape Optimisation and Evolutionary Population Dynamics for PSO and MOPSO
Saremi, S.; Mirjalili, S.
Optimisation Algorithms for Hand Posture Estimation, 37-60
A Survey of Hand Posture Estimation Techniques and Optimisation Algorithms
Saremi, S.; Mirjalili, S.
Optimisation Algorithms for Hand Posture Estimation, 13-35
Evaluating PSO and MOPSO equipped with evolutionary population dynamics
Saremi, S.; Mirjalili, S.
Optimisation Algorithms for Hand Posture Estimation, 61-88
Hand Model Estimation Considering Two Objectives Using EPD-Based Multi-objective Particle Swarm Optimisation
Saremi, S.; Mirjalili, S.
Optimisation Algorithms for Hand Posture Estimation, 125-141
Hand Recovery for Geometry-Based Models Using EPD-Based Particle Swarm Optimisation
Saremi, S.; Mirjalili, S.
Optimisation Algorithms for Hand Posture Estimation, 109-123
Hand Shape Optimisation for Geometry-Based Models Using EPD-Based Particle Swarm Optimisation
Saremi, S.; Mirjalili, S.
Optimisation Algorithms for Hand Posture Estimation, 89-107
Optimization algorithms for hand posture estimation
Saremi, S.; Mirjalili, S.
Algorithms for Intelligent Systems, Springer (book)
Sine cosine algorithm: theory, literature review, and application in designing bend photonic crystal waveguides
Mirjalili, S. M.; Mirjalili, S. Z.; Saremi, S.; Mirjalili, S.
Nature-inspired optimizers: theories, literature reviews and applications …
Whale optimization algorithm: theory, literature review, and application in designing photonic crystal filters
Mirjalili, S.; Mirjalili, S. M.; Saremi, S.; Mirjalili, S.
Nature-inspired optimizers: theories, literature reviews and applications …
Enhanced multi-objective particle swarm optimisation for estimating hand postures
Saremi, S.; Mirjalili, S.; Lewis, A.; Liew, A. W. C.; Dong, J. S.
Knowledge-Based Systems 158, 175-195
Evolutionary hand posture estimation for image-based gesture detection systems
Doctoral dissertation, Griffith University, Brisbane, Australia
Grasshopper optimization algorithm for multi-objective optimization problems
Mirjalili, S. Z.; Mirjalili, S.; Saremi, S.; Faris, H.; Aljarah, I.
Applied Intelligence 48 (4), 805-820
Vision-based hand posture estimation using a new hand model made of simple components
Saremi, S.; Mirjalili, S.; Lewis, A.
Optik 167, 15-24
Grasshopper optimisation algorithm: Theory and application
Saremi, S.; Mirjalili, S.; Lewis, A.
Advances in Engineering Software, 105, 30–47
Let’s Consider Two Objectives When Estimating Hand Postures
Saremi, S.; Mirjalili, S.; Lewis, A.; Liew, A. W. C.
Australasian Joint Conference on Artificial Intelligence, 119-130
Multi-objective ant lion optimizer: a multi-objective optimization algorithm for solving engineering problems
Mirjalili, S.; Jangir, P.; Saremi, S.
Applied intelligence 46 (1), 79-95
Optimization of problems with multiple objectives using the multi-verse optimization algorithm
Mirjalili, S.; Jangir, P.; Mirjalili, S. Z.; Saremi, S.; Trivedi, I. N.
Knowledge-Based Systems 134, 50-71
Salp swarm algorithm: A bio-inspired optimizer for engineering design problems
Mirjalili, S.; Gandomi, A. H.; Mirjalili, S. Z.; Saremi, S.; Faris, H.; Mirjalili, S. M.
Advances in Engineering Software, 114, 163–191
How effective are meta-heuristics for recognizing hand gestures
Saremi, S.; Mirjalili, S.; Lewis, A.
Evolutionary Computation (CEC), IEEE, pp. 104-111
Multi-objective grey wolf optimizer: A novel algorithm for multi-criterion optimization
Mirjalili, S.; Saremi, S.; Mirjalili, S. M.; Coelho, L. S.
Expert Systems with Applications, 47, 106–119
Designing evolutionary feedforward neural networks using social spider optimization algorithm
Mirjalili, S. Z.; Saremi, S.; Mirjalili, S. M.
Neural Computing and Applications 26 (8), 1919-1928
Evolutionary population dynamics and grey wolf optimizer
Saremi, S.; Mirjalili, S. Z.; Mirjalili, S. M.
Neural Computing and Applications 26 (5), 1257-1263
How important is a transfer function in discrete heuristic algorithms
Saremi, S.; Mirjalili, S.; Lewis, A.
Neural Computing and Applications 26 (3), 625-640
Biogeography-based optimization algorithm with chaos
Saremi, S.; Mirjalili, S.; Lewis, A.
Neural Computing and Applications, 25(5), 1077-1097
Chaotic krill herd optimization algorithm
Saremi, S.; Mirjalili, S. M.; Mirjalili, S.
Procedia Technology, 12, 180-185
Unit cell topology optimization of line defect photonic crystal waveguide
Saremi, S.; Mirjalili, S. M.; Mirjalili, S.
Procedia Technology 12, 174-179
Integrating chaos to biogeography-based optimization algorithm
Saremi, S.; Mirjalili, S.
International Journal of Computer and Communication Engineering, 2(6), 655