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Dr. Saeid Pourroostaei Ardakani

Associate Professor in Computer Science | School of Electronic Engineering and Computer Science |Queen Mary University of London

Books

  1. S. P. Ardakani and A. Cheshmehzangi (Apr 2026). Crowdsensing and Data: Intelligence for City Pulse. Springer. ISBN: 978-981-95-6358-6. DOI
    Crowdsensing and Data: Intelligence for City Pulse
  2. S. P. Ardakani and A. Cheshmehzangi (Dec 2024). Digital Twin Computing for Urban Intelligence. Springer. ISBN: 978-981-97-8483-7. DOI
    Digital Twin Computing for Urban Intelligence book cover
  3. S. P. Ardakani and A. Cheshmehzangi (Dec 2023). Big Data Analytics for Smart Transport and Healthcare Systems. Springer. ISBN: 978-981-9966-19-6. DOI
    Big Data Analytics for Smart Transport and Healthcare Systems
  4. S. P. Ardakani and A. Cheshmehzangi (Sep 2023). Big Data Analytics for Smart Urban Systems. Springer. ISBN: 978-981-99-5542-8. DOI
    Big Data Analytics for Smart Urban Systems

Journal Articles

  1. S. Russom et al. (Jun 2026). “The Lab Fingerprint of HIV Comorbidities.” Electronics. DOI
  2. R. Mohammadian and S. P. Ardakani (Apr 2026). “A Systematic Review of Technology-Enhanced Music Learning Models: Impacts on Music Education.” Elsevier Computers and Education Open DOI
  3. Y. Chen and S. P. Ardakani (Apr 2026). “A Reinforcement Learning Framework for UAV Path Planning Automation in Complex Fire and Rescue Environments.” IEEE Transactions on Sustainable Computing. DOI
  4. L. Gong et al. (Sep 2025). “Innovative Spatial-Temporal Attention Network (STAN) for Skeleton-Based Timed-Up-and-Go Analysis to Stratify Lower Back Pain Severity with Monocular RGB Camera.” IEEE Access. DOI
  5. M. Wu and S. P. Ardakani (May 2025). “Towards Scientific Knowledge Graphs: Dependency Graph Analysis Using Graph Neural Networks for Extracting Scientific Relations.” Electronics. DOI
  6. L. Gong, M. Yu and S. P. Ardakani (Apr 2025). “Privacy-Preserving Human Motion Analysis for Lower Back Pain Stratification through Federated Learning.” EAI Endorsed Transactions of Pervasive Health and Technology. DOI
  7. M. Devine et al. (Mar 2025). “Federated Machine Learning to Enable Intrusion Detection Systems in IoT Networks.” Electronics. DOI
  8. S. P. Ardakani et al. (Jan 2025). “Identifying Crowdfunding Storytellers who Deliver Successful Projects: A Machine Learning Approach.” Supercomputing. DOI
  9. A. Cheshmehzangi et al. (Oct 2024). “Growing Digital Divide for Expatriates Population in China: A User Perspective Analysis During the COVID-19 Pandemic.” SAGE open. DOI
  10. S. McCall et al. (Feb 2024). “Computer Vision Based Transfer Learning-Aided Transformer Model for Fall Detection and Prediction.” IEEE Access. DOI
  11. D. Kong et al. (Aug 2023). “Urban Building Energy Modelling (UBEM): A Systematic Review of Challenges and Opportunities.” Energy Efficiency. DOI
  12. S. P. Ardakani et al. (Mar 2023). “Road Car Accident Prediction Using a Machine-Learning-Enabled Data Analysis.” Sustainability. DOI
  13. A. Cheshmehzangi et al. (Feb 2023). “Space and Social Distancing in Managing and Preventing COVID-19 Community Spread: An Overview.” HELIYON. DOI
  14. S. P. Ardakani et al. (Feb 2023). “A Federated Learning‐Enabled Predictive Analysis to Forecast Stock Market Trends.” Journal of Ambient Intelligence and Humanized Computing. DOI
  15. S. P. Ardakani et al. (Aug 2022). “An Urban-Level Prediction of Lockdown Measures Impact on the Prevalence of the COVID-19 Pandemic.” Genus. DOI
  16. H. Li et al. (Jun 2022). “The Correlation Analysis Between Air Quality and Construction Sites During COVID-19.” Sustainability. DOI
  17. X. Liu and S. P. Ardakani (Apr 2022). “Machine Learning Enabled Affective E-learning System Model.” Education and Information Technologies. DOI
  18. P. Kar et al. (Mar 2022). “Are Fake Images Bothering You on Social Network? Let’s Detect Them Using Recurrent Neural Network.” IEEE Transactions on Computational Social Systems. DOI
  19. X. Xie and S. P. Ardakani (Jan 2022). “A Machine Learning Enabled Mobile Application to Analyse Ambient-Body Correlations.” SN Computer Science. DOI
  20. Z. Zhang et al. (Dec 2021). “A Data-Driven Clustering Analysis for the Impact of COVID-19 on Electricity Consumption in Zhejiang Province, China.” Energies. DOI
  21. S. P. Ardakani et al. (Nov 2021). “CNN: A Cluster-Based Named Data Routing for Vehicular Networks.” IEEE Access. DOI
  22. P. Zhao et al. (Aug 2021). “ANTON: Activity Recognition-Based Smart Home Control System.” SN Computer Science. DOI
  23. Y. Zhang et al. (Aug 2021). “Smart Ledger: The Blockchain-Based Accounting Information Recording Protocol.” Journal of Corporate Accounting and Finance. DOI
  24. L. Li et al. (Jul 2021). “A Novel Cooperative Cache Policy for Wireless Networks.” Wireless Communications and Mobile Computing. DOI
  25. Q. Liu et al. (Jul 2021). “Autonomous Mobility Management for 5G Ultra-Dense HetNets via Reinforcement Learning.” IEEE Access. DOI
  26. S. P. Ardakani and A. Cheshmzangi (Jul 2021). “Reinforcement Learning-Enabled UAV Itinerary Planning for Remote Sensing Applications in Smart Farming.” Telecom. DOI
  27. S. P. Ardakani (Apr 2021). “MINDS: Mobile Agent Itinerary Planning Using Named Data Networking in Wireless Sensor Networks.” Journal of Sensor and Actuator Networks. DOI
  28. A. Cheshmzangi and S. P. Ardakani (Mar 2021). “Urban Traffic Optimisation Based on Sector-Based Time Variable Modelling: Simulated Ningbo, China.” Frontiers in Sustainable Cities. DOI
  29. S. P. Ardakani (Apr 2018). “A Cluster-Based Routing Protocol for VANET.” International Journal of Wireless and Mobile Networks. DOI
  30. S. P. Ardakani (May 2017). “MSAS: An M-Mental Health Care System for Automatic Stress Detection.” Clinical Psychology Studies. DOI
  31. S. P. Ardakani (Mar 2017). “Data Aggregation Routing Protocols in Wireless Sensor Networks: A Taxonomy.” International Journal of Computer Networks and Communications. DOI
  32. S. P. Ardakani et al. (Dec 2016). “A Mobile Agent Routing Protocol for Data Aggregation in Wireless Sensor Networks.” International Journal of Wireless Information Networks. DOI
  33. S. P. Ardakani et al. (May 2016). “CBA: Cluster-Based Data Aggregation Routing Protocol.” Ad Hoc Networks. DOI
  34. M. A. Torkamani et al. (Jun 2007). “Chaos Theory and Application in Foreign Exchange Rate vs. IRR.” International Journal of Human and Social Sciences. DOI

Peer-reviewed Conferences

  1. S. Ghosh, M. Al-khafajiy, S. P. Ardakani, and T. Baker (Nov 2025). “Personalised Federated Learning at Scale: Hierarchical Boosting with Bayesian Fusion.” 18th International Conference on Development in eSystem Engineering (DeSE), Bucharest, Romania.
  2. N. B. Masood, S. P. Ardakani, and M. Yu (Aug 2025). “A Transformer-based Deep Learning Model to Enhance Hope Speech Detection.” 9th International Conference on Deep Learning Technologies (ICDLT), Chengdu, China.
  3. L. Gong, S. Mccall, M. Yu, M. Thota, G. S. Kashyap, and S. P. Ardakani (Aug 2024). “Innovate Spatial-Temporal Attention Network (STAN) for Accurate 3D Mice Pose Estimation with a Single Monocular RGB Camera.” 32nd European Signal Processing Conference (EUSIPCO), Lyon, France.
  4. K. Nan, S. Hu, H. Luo, P. Wong, and S. P. Ardakani (Dec 2022). “A Semi-supervised Learning Application for Hand Posture Classification.” 12th EAI International Conference on Big Data Technologies and Applications (BDTA 2022), Cairo, Egypt.
  5. S. P. Ardakani C. Zhou, X. Wu, Y. Ma, and J. Che (Dec 2021). “A Data-driven Affective Text Classification Analysis.” 20th IEEE International Conference on Machine Learning and Applications (ICMLA), Pasadena, USA.
  6. S. P. Ardakani, X. Liu, and H. Xie (Apr 2021). “A Data-driven Study to Highlight the Correlations Between Ambient Factors and Emotion.” 5th EAI International Conference on Computer Science and Engineering in Health Services (COMPSE 2021), Mexico.
  7. S. P. Ardakani, X. Wu, S. Pan, and X. Gao (Apr 2021). “ARM: A Real-time Health Monitoring Mobile Application.” 5th EAI International Conference on Computer Science and Engineering in Health Services (COMPSE 2021), Mexico.
  8. A. Cheshmehzangi, F. Chan, M. Sedrez, S. P. Ardakani, J. Sun and L. Li (Apr 2020). “The Nexus between Sponge-City and Stormwater Management: A Comprehensive Scenario-based Analysis in Ningbo, China.” UNNC Symposium on Disruption vs Integration: Pathways to Urban Transformation, Ningbo, China.
  9. Z. Hashemi, S. P. Ardakani, M. S. Torkestani (Sep 2018). “Impact of Descriptive Text-boxes on Tourism using Eye-tracking.” First International Conference on Management and Engineering, Tehran, Iran.
  10. S. P. Ardakani, J. Padget, and M. D. Vos (Jan 2014). “HRTS: A Hierarchical Reactive Time Synchronisation Protocol for Wireless Sensor Networks.” Ad Hoc Networks (ADHOCNETS 2013), Springer, Cham.
  11. M. Sharifi, S. P. Ardakani, and S. Seddighian (Apr 2009). “SKEW: An Efficient Self Key Establishment Protocol for Wireless Sensor Networks.” International Symposium on Collaborative Technologies and Systems (CTS’09), Maryland, USA.
  12. M. Sharifi, S. Seddighian, and S. P. Ardakani (Apr 2009). “LAP: A Lightweight Authentication Protocol for Smart Dust Wireless Sensor Networks.” International Symposium on Collaborative Technologies and Systems (CTS’09), Maryland, USA.
  13. M. Sharifi, S. P. Ardakani, and S. Seddighian (Apr 2007). “RAP: A Resource Aware Protocol for Key Distribution in Wireless Sensor Networks.” 4th Information Security and Cryptology Conference (ISCC’7), Tehran, Iran.
  14. M. Sharifi, S. P. Ardakani, and S. Seddighiani (Mar 2007). “Improving the Availability of Secure Wireless Sensor Networks.” 4th International Conference on Sciences of Electronic, Technologies of Information and Telecommunications (SETIT’7), Tunisia.

Book Sections

  1. A. Cheshmehzangi and S. P. Ardakani (Apr 2026). “Urban Intelligence in Action: Shaping the Pulse of the Data-Driven City.” In: Crowdsensing and Data: Intelligence for City Pulse. Springer, Singapore. DOI
  2. S. P. Ardakani and M. Al-khafajiy (Apr 2026). “The Role of Crowd-Sensing Technologies in Urban Digital Twins.” In: Crowdsensing and Data: Intelligence for City Pulse. Springer, Singapore. DOI
  3. A. Sangodoyin and S. P. Ardakani (Apr 2026). “Crowdsensing Security and Privacy Preservation for Trusted Smart Cities.” In: Crowdsensing and Data: Intelligence for City Pulse. Springer, Singapore. DOI
  4. A. Cheshmehzangi and S. P. Ardakani (Apr 2026). “Urban Intelligence in Motion: Crowdsensing as a Catalyst for Change.” In: Crowdsensing and Data: Intelligence for City Pulse. Springer, Singapore. DOI
  5. A. Cheshmehzangi and S. P. Ardakani (Dec 2024). “Navigating the Future with the Nexus Between Digital Twin Computing and Urban Intelligence.” In: Digital Twin Computing for Urban Intelligence. Springer, Singapore.
  6. A. Cheshmehzangi and S. P. Ardakani (Dec 2024). “Embracing the Digital Twin Paradigm for Urban Sustainability.” In: Digital Twin Computing for Urban Intelligence. Springer, Singapore.
  7. S. P. Ardakani, H. Xie, and X. Liu (Mar 2022). “Smart Technologies for Urban Farming and Green Infrastructure Development: A Taxonomy.” In: Green Infrastructure in Chinese Cities. Springer.

Editorials

  1. S. P. Ardakani, G. Kapogiannis, M. Al-khafajiy, and M. Yu (Aug 2025). “Data Analytics in Sustainable City Planning.” Frontiers in Sustainable Cities, Vol. 7.

Teaching and Learning Research

  1. R Mohammadian and S. P. Ardakani. (Apr 2026). “A Systematic Review of Technology-Enhanced Music Learning Models: Impacts on Music Education.” Elsevier Computers and Education Open. DOI
  2. N. Oveici et al. (Jan 2025). “Design and Validation of an Aesthetic Model for E-Learning with Emphasis on User Experience and Sense of Presence.” Educational Technologies in Learning.
  3. M. Ahmadabadi et al. May 2024). “The Model of Learning Environment Based on Educational Agent.” Education Strategies in Medical Science.
  4. M. Samavati et al. (May 2024). “The Impact of Adaptive Game-based Instruction on Mathematical Performance.” Psychological Science Journal.
  5. R. Mohammadyan and S. P. Ardakani (Apr 2023). “Design and Development of Online Music Educational Assistant.” Biannual Journal of Education Experiences.
  6. M. Moradi et al. (Apr 2021). “Investigating the Components of Educational Game Design.” Interdisciplinary Journal of Virtual Learning in Medical Sciences.
  7. A. Shirkarami et al. (Dec 2020). “The Effect of Mobile Games on Math Learning.” International Serious Game Symposium.
  8. R. Abedi et al. (Jul 2020). “The Effects of Personalized Learning on Achieving Meaningful Learning Outcomes.” IJVLMS.
  9. S. K. Banihashem et al. (Nov 2019). “Investigation on the Role of Learning Theory in Learning Analytics.” IJVLMS.
  10. S. P. Ardakani and M. Samavati (Feb 2019). “Educational Video Game Classification Model Based on Learner's Satisfaction.” Video Games Conference, Iran.
  11. S. K. Banihashem et al. (Jun 2018). “Learning Analytics: A Critical Literature Review.” IJVLMS.