Publications & Projects - MRU



Publications & Projects

Projects

2026

  • Project “Data Analytics and Cognitive Computing Integration for Intelligent Decision-Making in Construction Management,” Lithuanian Research Council (LMT), Impact-Driven Programme “Information Technologies for the Development of Science and Knowledge Society.”  (Start date September 2026). PI. Ahsan Waqar.

2025

  • Project “Operationalizing Cyber Resilience in Critical Infrastructure: Protecting the Lithuanian Emergency Medical Services”. Lithuanian Science Council funding call “Information Technologies for the Development of Science and Knowledge Society (Impact-driven programme).” 09/2025 – 06/2027, PI: Giedre Sabaliasuskaite. Grant: €227,405.
  • Project “Reorganization of Marijampolė College to ensure a high‑quality study process” (“Marijampolės kolegijos reorganizavimas siekiant užtikrinti kokybišką studijų procesą”). 04/2025 – 12/2025. Funder: EU Structural and Investment Fund.
  • Project “Implementation of mission‑based science and innovation programmes” (“Misijomis grįstų mokslo ir inovacijų programų įgyvendinimas”). 01/2025 – 04/2026. Funder: EU, New Generation Lithuania, Lithuanian Science Council.

 

Publications

Journal Articles Q1/Q2

2026

  1. Abdelbaki, W., Alshaya, H., Nasir, I. M., Tehsin, S., & Bouchelligua, W. (2026). Federated Deep Learning for Privacy-Preserving Chest CT Analysis in Pulmonary Disease Diagnosis. Bioengineering (Accepted).
  2. Abdelbaki, W., Alshaya, H., Nasir, I. M., Tehsin, S., Said, S., & Bouchelligua, W. (2026). Domain-Adaptive MRI Learning Model for Precision Diagnosis of CNS Tumors. Biomedicines, 14(1), 235.
  3. Abdelbaki, W., Alshaya, H., Nasir, I. M., Tehsin, S., & Bouchelligua, W. (2026). Multimodal Deep Learning with Attention-Based Fusion for Skin Cancer Diagnosis. Bioengineering.
  4. Ashraf, I., Nasir, I. M., Awais, M., Ashraf, I., & Bouchelligua, W. Deep Sequence Learning with Multi-Task Supervision for Scalable Population Health Monitoring. Frontiers in Public Health (accepted)
  5. Abdelbaki, W., Bouchelligua, W., Nasir, I. M., Tehsin, S., & Alshaya, H. (2026). Mamba-RSI: a state-space deep learning framework for efficient land-use and land-cover classification in remote sensing imagery. AIMS Mathematics, 11(3), 5600-5647.
  6. Abdelbaki, W., Bouchelligua, W., Nasir, I. M., Tehsin, S., & Alshaya, H. (2026). Transformer-Based Deep Learning for Population-Scale Retinal Image Screening of Ophthalmic Disorders. Bioengineering, (Accepted).
  7. Bouchelligua, W., Nasir, I. M., Zahary, A. T., & Sarfraz, M. M., Causal Shape Attribution for Boundary-Aware Brain Tumor Segmentation. BMC Medical Imaging (accepted)
  8. Bružė E, Paskauskas RA, Matulytė R, Sabaliauskaitė G and Lavišius T. (2026) Semantic integration of hybrid threat intelligence: The HiPSTer Ontological Method for cross-domain correlation in influence operations. Open Research Europe. 10.12688/openreseurope.23019.1
  9. Campbell, C., Jofre, S., Sabaliauskaite, G., Obonyo, C., & Haughton, O. (2026). Addressing the Cybersecurity Skills Shortage in Lithuania: Policy Insights from the United Kingdom. Journal of Cybersecurity and Privacy, 6(1), 29. https://doi.org/10.3390/jcp6010029
  10. Manal Ghanem; Giedre Sabaliauskaite; Sara Correia-Hopkins; Jonathan-Lee Jones; Nicholas Micallef. (2026) A Dynamic Simulation Framework for Mobile Ad Hoc Networks in Search and Rescue Operations. Simulation Modelling Practice and Theory. 10.1016/j.simpat.2026.103281
  11. Hassan, M., Rakhmi, M., Atif., and Kahraman, N. (2026). Governing Decentralized Intelligence: A Distributed Leadership Framework for Federated Learning in Nursing Practice. Journal of Nursing Management. 
  12. Hassan, M., Nawaz, A., Johnson, M., Hassan, A., Tafazolli, R., (2026). Semantic-Aware Sparse Communication for Federated Learning in Mission-Critical 6G. IEEE Open Journal of the Communications Society (OJ-COMS). 
  13. Hassan, M., Ali, S., Raza ullah, F., Taskiran, M., Kahraman, N., (2026) FedSelect-VANET: Federated Selective Prediction for Reliable Anomaly Detection in Vehicular Ad Hoc Networks. Transactions on Emerging Telecommunication Technologies.
  14. Hassan N., Nasir, I. M., Alotaibi F. M., & Bouchelligua, W. Multiscale CNN with Residual Connection-based Inception Blocks for Explainable Guava Disease Classification. Scientific Reports (accepted)
  15. Nasir, I. M., Alshaya, H., Tehsin, S., & Bouchelligua, W. (2026). Transformer-Based Foundation Learning for Robust and Data-Efficient Skin Disease Imaging. Diagnostics, 16(3), 440.
  16. Nasir, I. M., Alshaya, H., Tehsin, S., & Bouchelligua, W. (2026). Cross-view remote sensing and street-level data fusion for intelligent traffic congestion analysis. AIMS Mathematics, 11(1), 1547.
  17. Nasir, I. M., Alshahrani, A., Dafaalla, H., & AlAqil, M. A., Early and Robust Ransomware Detection via Multi-View Sequential Modeling with Transformers and Graph Fusion. Cluster Computing (accepted)
  18. Sabaliauskaite G, Paskauskas RA, Bružė E, Matulytė R and Lavišius T. (2026) Automated regulatory compliance for AI systems in the security domain: The case of dual-use deployment. Open Research Europe. 10.12688/openreseurope.23137.1
  19. R. Andrew Paskauskas, Evaldas Bružė, Giedrė Sabaliauskaitė, Raminta Matulytė, Tomas Lavišius. (2026) Hybrid-Threat Intelligence: A Critical Review of Semantic Integration Challenges and the HIPSTer Ontological Framework. Journal of Intelligent Communication. 10.54963/jic.v5i1.2128
  20. Rana, K., Khan, M. A. A., Akram, T., Nasir, I. M., & Tehsin, S. Hybrid Metaheuristic Contrast Stretching for Enhanced Segmentation of Skin Cancer Lesions. Network Modeling Analysis in Health Informatics and Bioinformatics
  21. Tehsin, S., Nasir, I. M., Hassan, A., & Riaz, F. (2026). CausaOne-sign: Causal explainable one-shot signature verification with lightweight cross-modality fusion. Ain Shams Engineering Journal, 17(2), 104002.
  22. Tehsin, S., Nasir, I. M., Abdelbaki, W., Alrowais, F., Abualhamayel, R., Yahya, A. E., & Marzouk, R. (2026). Q-ALIGNer: a quantum entanglement-driven multimodal framework for robust fake news detection. Computers, materials and continua., 87(22), 1-31.
  23. Waqar, A. (2026). Digital technologies in circular construction: A structured mapping of technology, strategy and lifecycle integration. Archives of Computational Methods in Engineering. Accepted (In Press).
  24. Waqar, A. (2026). Natural language processing for construction engineering: Artificial intelligence-driven text analysis techniques. Applied Soft Computing, 190, 114585. https://doi.org/10.1016/j.asoc.2026.114585
  25. Waqar, A. (2026). Performance benchmarking of scan-to-HBIM workflows for cultural heritage (2012–2025). Automation in Construction, 184, 106848. https://doi.org/10.1016/j.autcon.2026.106848
  26. Waqar, A., & Khan, M.B. (2026). The role of digital transformation adaptation in linking self-determination theory to workforce motivation in construction 5.0. Engineering, Construction and Architectural Management, EarlyCite. https://doi.org/10.1108/ECAM-03-2025-0343
  27. Waqar, A., K Alrasheed., Hassan, M., (2026) Physics-Informed Machine Learning for Structural Health Monitoring: A Systematic and Bibliometric Review, Journal of Engineering Research, Elsevier
  28. Waqar, A., Alrasheed, K.A., & Ahmed, W. (2026). How Do Compliance-Oriented Leaders Foster Construction Innovation Through Legal Adaptability, Digital Integration, and Inter-Agency Collaboration in Public Infrastructure Projects? Journal of Legal Affairs and Dispute Resolution in Engineering and Construction (ASCE). Accepted (In Press).
  29. Waqar, A., Alrasheed, K.A., Al-Fares, R.A., & Raja, B.N.K. (2026). Organizational Justice and Conflict Management Theories for Modeling Dispute Resolution Effectiveness in Construction Projects. Journal of Legal Affairs and Dispute Resolution in Engineering and Construction (ASCE). Accepted (In Press).
  30. Waqar, A., Barakat, T.A.H. & Alshehri, A.M. (2026) Cognitive and managerial pathways linking supportive leadership to eco-friendly building adoption. Discov Sustain (2026). https://doi.org/10.1007/s43621-026-02960-0 
  31. Waqar, A. Hassan, M., (2026) Evolution of federated learning in construction systems (2020–2025). Results in Engineering, Elsevier

2025

  1. Nasir, I. M., Alshaya, H., Tehsin, S., & Bouchelligua, W. (2025). Adaptive Vision–Language Transformer for Multimodal CNS Tumor Diagnosis. Biomedicines, 13(12), 2864.

 

International Conferences

2026

  • Alam, S., Bryans, J., Jadidbonab, H., Sabaliauskaite, G. (2026). Human-Centric Impacts of Cyberattacks on Autonomous Vehicle User Interactions: A Simulation-Based Study. In: Tareq Ahram and Adrian Morales Casas (eds) Human Interaction and Emerging Technologies (IHIET-AI 2026): Artificial Intelligence and Future Applications. AHFE (2026) International Conference. AHFE Open Access, vol -1. AHFE International, USA. http://doi.org/10.54941/ahfe1007203
  • Hassan, M., Jofre, S., Sabaliaukaite, G., Nawaz, A., Hassan., A., Kahraman, N. (2026). Zero-Knowledge Inspired Provenance for Trustless Federated Learning in Decentralized IoT Systems. In 2026 IEEE 103rd Vehicular Technology Conference (VTC2026-June). 

2025

  • Zimeras, S., Toptchiyska, D., Sabaliauskaitė, G., and Jofre, S. (2025). ERUA project cluster RECONNECT – Decision making under Business intelligence. (Abstract) in International Scientific Conference “Law and Digital Technologies: Regulatory Innovations for Online Environment Governance”, Department of Law, New Bulgarian University, Sofia, June 6th, 2025.
  • Jofre, S. and Sabaliauskaite, G. (2025).“Anticipation in the context of Complex Systems: Is it Possible or are we Just Guessing?”. Luhmann Conference 2025. 9-12th September 2025, Cambridge, UK. (Abstract Published).
  • Sergio Jofre, Giedre Sabaliauskaite, Denitza Toptchiyska, Mariya Ilieva, and Stelios Zimeras.(2025) “Digital disengagement: Exploring the complex context of the right to digital self-exclusion”. SOCIN 2025, 23-26th September 2025, Macerata, Italy
  • Shaikh, B. Smith, G. Sabaliauskaite. “Masterclass: Cyber Risk Assessment for AV Trials: The SAMS Experience“. AESIN Conference 2025 – The Future is Electronic: From AI to Power. June 19, 2025, Warwick, UK.
  • Sabaliauskaite (2025). Expert panel “Smart and Secure: AI’s Role in Civilian Protections”. Northern Prospects – Enhancing civil security with AI, organized by Network of Nordic and Baltic R&I liaison offices in Brussels. Brussels, Belgium, 14th October 2025.
  • Sabaliauskaite. Beyond the Skills Gap: How Empowering Women Can Transform the Future of Cybersecurity. (Abstract). In proceedings of Women in Science International Conference 2026. Vilnius, Lithuania, February 11-12, 2026.

2024

  • Jofre, S. and Sabaliauskaite, G. (2024). Addressing Social Innovation and Sustainability Transitions in Increasingly Complex and Co-Dependent Human, Environmental, and Technological Systems: A Proposal for an Experimental Intervention in Academia. (Abstract) In proceedings of the 4th ERUA Annual Summit 2024, Social Innovation for Transformative Society, SOCIN Conference, Mykolas Romeris University, Vilnius, June 24-25, 2025.
  • Jofre, S. Expert Panel,  International Forum—Asia World Design City Brand, Dongseo University. November 04, 2024, Busan, South Korea.

Books & Book’s Chapters

2026

Mir Hassan. (2026). Neuro-Evolutionary Optimization for Intelligent Control. In Optimization Algorithms – Control and Optimization via Machine Learning. Intechopen.

Mykolas Romeris University
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