Publications

This page lists journal articles, conference papers, book chapters, preprints and selected manuscripts related to forecasting, transportation analytics, responsible AI, energy systems, environmental monitoring, wireless networks and data-driven decision support.

2026

  1. Leneman, T., Alsahag, A. M. M., & Mohammadi Ziabari, S. S. (2026). Explainable AI for subseasonal forecasting of the North Atlantic Oscillation. Machine Learning for Computational Science and Engineering, 2(1), Article 6. DOI
  2. Braakman, N. M., Mohammadi Ziabari, S. S., Alsahag, A. M. M., & Nasser Al Husaini, Y. (2026). Intrinsic Interpretability at Parity: Attention-Based RL–MIL for Student Outcome Prediction. Natural Language Processing Journal, Article 100204. DOI
  3. Olijslager, M., Mohammadi Ziabari, S. S., & Alsahag, A. M. M. (2026). Causally Disentangled Contrastive Learning for Multilingual Speaker Embeddings. arXiv preprint arXiv:2602.01363. arXiv
  4. Brakenhoff, B., Alsahag, A. M. M., & Mohammadi Ziabari, S. S. M. (2026). Dynamic GNNs for Predicting Train Cancellations on the Dutch Railway Network: A Multi-Season Study of Environmental and Operational Factors. Digital Technologies Research and Applications, 5(1), 32–52. DOI
  5. Solomon, J., Alsahag, A. M. M., & Mohammadi Ziabari, S. S. (2026). Hybrid Vision Transformer–GAN Attribute Neutralizer for Mitigating Bias in Chest X-Ray Diagnosis. arXiv preprint arXiv:2601.15490. arXiv
  6. Kocadag, E., Mohammadi Ziabari, S. S., & Alsahag, A. M. M. (2026). Assessing the quality and coherence of word embeddings after SCM-based intersectional bias mitigation. arXiv preprint arXiv:2601.04393. arXiv
  7. Shu, S., Mohammadi Ziabari, S. S., & Alsahag, A. M. M. (2026). Cross-Language Speaker Attribute Prediction Using MIL and RL. arXiv preprint arXiv:2601.04257. arXiv
  8. Lin, B. Y., Mohammadi Ziabari, S. S., Nasser Al Husaini, Y., & Alsahag, A. M. M. (2026). SG-MuRCL: Smoothed Graph-Enhanced Multi-Instance Contrastive Learning for Robust Whole-Slide Image Classification. Information, 17(1), Article 37. DOI
  9. Garbat, A., Mohammadi Ziabari, S. S., & Alsahag, A. M. M. (2026). Warmth and competence debiasing of contextual embeddings. In Proceedings of the 20th IEEE International Conference on Semantic Computing.
  10. Braakman, N. M., Mohammadi Ziabari, S. S., Alsahag, A. M. M., & Al Husaini, Y. N. (2026). Improving Accuracy and Interpretability in Reinforcement Learning-based Multiple Instance Learning. Preprint.

2025

  1. Profeta, S. B., Alsahag, A. M. M., & Mohammadi Ziabari, S. S. (2025). Predicting Groundwater Level Anomalies under Data Scarcity with LSTMs and Transfer Learning. In 2025 19th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI-Winter), 215–220. DOI
  2. Chen, J., Alsahag, A. M. M., & Mohammadi Ziabari, S. S. M. (2025). An analytics framework for interpretable subseasonal forecasting under decadal climate variability. Decision Analytics Journal, 17, Article 100660. DOI
  3. Zhu, C., Mohammadi Ziabari, S. S., & Alsahag, A. M. M. (2025). Task-Adaptive Debiasing with SCM for Sentiment Analysis. Machine Learning for Computational Science and Engineering, 1(2), Article 41. DOI
  4. Naranbat, B., Mohammadi Ziabari, S. S. M., Husaini, Y. N. A., & Alsahag, A. M. M. (2025). Fairness Metric Design Exploration in Multi-Domain Moral Sentiment Classification Using Transformer-Based Models. arXiv preprint arXiv:2510.11222. arXiv
  5. Curiël, R., Alsahag, A. M. M., & Mohammadi Ziabari, S. S. (2025). Integrating Climate and Economic Predictors in Hybrid Prophet–(Q)LSTM Models for Sustainable National Energy Demand Forecasting: Evidence from The Netherlands. Sustainability, 17(19), Article 8687. DOI
  6. Lakeman, S., Ziabari, S. S. M., & Alsahag, A. M. M. (2025). A reinforcement-driven multiple instance learning framework for multi-task speaker attribute prediction. Preprint.
  7. Ashtar, D., Mohammadi Ziabari, S. S., & Alsahag, A. M. M. (2025). Hybrid Forecasting for Sustainable Electricity Demand in The Netherlands Using SARIMAX, SARIMAX-LSTM, and Sequence-to-Sequence Deep Learning Models. Sustainability, 17(16), Article 7192. DOI
  8. Kampere, M., & Alsahag, A. M. M. (2025). Predicting Delayed Trajectories Using Network Features: A Study on the Dutch Railway Network. arXiv preprint arXiv:2507.11776. arXiv
  9. de Wilde, H., Alsahag, A. M. M., & Blanchet, P. (2025). Time series classification of satellite data using LSTM networks: an approach for predicting leaf-fall to minimize railroad traffic disruption. arXiv preprint arXiv:2507.11702. arXiv
  10. Elchik, C. C., Nejadasl, F. K., Ziabari, S. S. M., & Alsahag, A. M. M. (2025). A Framework for Multi-View Multiple Object Tracking using Single-View Multi-Object Trackers on Fish Data. arXiv preprint arXiv:2505.17201. arXiv
  11. Demiral, Y. E., & Alsahag, A. M. M. (2025). Classifying Historical Cuisines Using Word Embeddings and Machine Learning Models: A Comparative Study. In Computational Data and Social Networks, Lecture Notes in Computer Science, vol. 15417, Springer. DOI

Manuscripts under review

  1. van der Maas, J., & Alsahag, A. M. M. (2025). Spatiotemporal delay prediction in the Dutch railway network using hybrid graph neural and recurrent models (GAT–LSTM/GAT–GRU). Under review.

2024

  1. van de Sande, S., Alsahag, A. M., & Mohammadi Ziabari, S. S. (2024). Enhancing predictability of wintertime energy demand in the Netherlands using Prophet–LSTM. Processes, 12(11), Article 2519. DOI

2022

  1. Ghanem, M., Alsahag, A. M. M., & Ahmad, R. (2022). Mobile sink-based energy-efficient clustering protocol. Ad Hoc & Sensor Wireless Networks.
  2. Masli, A. A., Ahmed, F. Y. H., & Mansoor, A. M. (2022). QoS-aware scheduling enabling video services in LTE. MDPI.

2021

  1. Mohammed, N. A., Mansoor, A. M., Ahmad, R. B., & Azzuhri, S. R. B. A. (2021). Deployment of Polar Codes for Mission-Critical MTC. Computers, Materials & Continua, 71, 573–592.
  2. Ghanem, M., Mansoor, A. M., & Ahmad, R. (2021). A systematic literature review on mobility in WSNs. International Journal of Communication Systems, e4799.
  3. Al-Surmi, I., Mansoor, A. M., & Ahmed, A. A. (2021). Toward 5G high utilizations. EAI Endorsed Transactions on Mobile Communications and Applications, 6(18), e3.

2020

  1. Ranji, R., Mansoor, A. M., & Sani, A. (2020). EEDOS: Offloading scheme in edge computing. Telecommunication Systems, 73(2), 171–182. Link
  2. Badarneh, H. J., Mansoor, A. M., Rahman, A. U., & Ravana, S. D. (2020). Efficient indexing framework. Computers & Electrical Engineering, 87, 106777.
  3. Al-Maqri, M., Mansoor, A. M., et al. (2020). Multimedia transmission with QoS. International Journal of Communication Systems, 33(5), e4193.
  4. Badarneh, H. J., Ravana, S. D., & Mansoor, A. M. (2020). Survey on indexing for IoT. International Journal of Network Management, e2097.
  5. Al-Hubaishi, A. S., et al. (2020). Pilot allocation in massive MIMO. Energies, 13(12), 3163.

2019

  1. Mukhlif, F., Noordin, K. A. B., Mansoor, A. M., & Kasirun, Z. M. (2019). Green transmission for C-RAN. Wireless Networks, 25, 2621–2649.
  2. Ahmed, F. Y. H., Masli, A. A., & Mansoor, A. M. (2019). Review of downlink scheduling in LTE. Traffic, 1(3).
  3. Mohammed, N. A., Mansoor, A. M., & Ahmad, R. B. (2019). Mission-critical MTC toward 5G. IEEE Access. Link
  4. Ranji, R., Mansoor, A. M., & Hatam, S. A. (2019). TOCOMEC: Blockchain-based offloading. International Journal of Advanced Engineering and Computer Sciences, 6(3).

2018

  1. Yousef Ali, Noordin, K., Mansoor, A. M., & Dimyati, K. (2018). Sigmoid power control in cognitive radio. Smart Computing and Electronic Enterprise.
  2. Ko, K. M., Ranji, R., Mansoor, A., & Kim, S. G. (2018). D2D task management via MEC. Korea Information Processing Conference, 85–87.
  3. Badarneh, H. J., Ravana, S. D., & Mansoor, A. M. (2018). Mobility mitigation in WSNs. Data Science Research Symposium.
  4. AlDahoul, N., Sabri, A. Q. M., & Mansoor, A. M. (2018). Real-time detection in aerial video. Computational Intelligence and Neuroscience.
  5. Daoud, H., Sabri, A. Q. M., Loo, C. K., & Mansoor, A. M. (2018). SLAMM: Monocular SLAM using multi-maps. PLoS ONE.
  6. Salman, M. I., Mansoor, A. M., et al. (2018). CQI feedback in LTE video. Wireless Personal Communications, 98(1), 189–211.
  7. Altaharwa, R., Abdulkareem, S., & Mansoor, A. M. (2018). Power and heterogeneity of WSNs. ICMWT 2017, 231–240.

2017

  1. Al-Namari, M. A., Mansoor, A. M., & Idris, M. Y. I. (2017). Brief survey on 5G. International Journal of Advanced Computer Science and Applications, 8(11). Link
  2. Mansoor, A. M., Sarea, A., & Sabri, A. Q. M. (2017). Routing in VANETs in smart cities. World Journal of Entrepreneurship.
  3. Sabri, A. Q. M., Boonaert, J., Abdullah, E. R. M. F., & Mansoor, A. M. (2017). Human action classification. Malaysian Journal of Computer Science.
  4. Mansoor, A. M., et al. (2017). Feedback-based QoS in WLANs. IEEE CCWC.
  5. Mansoor, A. M., Ahmed, S. I., & Khan, R. (2017). Reactivity feedback in PRIDE code. Atw. Zeitschrift für Kernenergie.
  6. Mansoor, A. M. (2017). Nutrient indexing of apricots. SKUAST Kashmir Symposium.

2016

  1. Al-Maweri, N. A. S., Sabri, A. Q. M., & Mansoor, A. M. (2016). Rotation recovery in watermarking. International Journal of Advanced Computer Science and Applications.
  2. Al-Maweri, N. A. S., Sabri, A. Q. M., Mansoor, A. M., et al. (2016). Metadata hiding for UAV video. Multimedia Tools & Applications.
  3. Hussein, Y. S., Ali, B. M., Rasid, M. F. A., Sali, A., & Mansoor, A. M. (2016). Fuzzy TOPSIS LTE handover. Computer Communications, 73, 22–33.
  4. Abed, B. M., Shaker, K., Jalab, H. A., Mansoor, A. M., et al. (2016). Breast cancer classification. IEEE IEACon 2016.

2014

  1. Alsahag, A. M., et al. (2014). Two-dimensional burst construction in WiMAX. IEEE ISTT.

2013

  1. Alsahag, A. M., Ali, B. M., Noordin, N. K., & Mohamad, H. (2013). Rate resource allocation in WiMAX. Telecommunication Systems.
  2. Alsahag, A. M., Ali, B. M., Noordin, N. K., & Mohamad, H. (2013). Fair uplink in WiMAX. Journal of Network and Computer Applications.

2011

  1. Alsahag, A. M., et al. (2011). Fair bandwidth in WiMAX. IEEE APCC, 743–747.

2008

  1. Alsahag, A. M., & Othman, M. (2008). MAC misbehavior detection in IEEE 802.11. American Journal of Applied Sciences.

Contact Information

Email: a.m.m.alsahag@uva.nl

University of Amsterdam
Science Park 904
Amsterdam, The Netherlands