Accepted Papers

Track 1: Data Science and Big Data

  1. Amery, A., & Al-Qudah, R. (2025). An agent-based approach for modeling disease control strategies using the SIR model.
  2. Hamad, H., & Alhendi, N. (2025). Optic disc segmentation in fundus images using U-Net.
  3. Sundus, K., Al-Zoubi, A. M., & Hammo, B. H. (2025). A comparative study of oversampling techniques for predicting breast cancer recurrence.
  4. Alhaj, D., & Badarneh, A. (2025). Leveraging machine learning models for mental health data exploration.
  5. Bhogaraju, V., Kompella, Y. S. S., Korukonda, V., Ramigani, T. R., Namineni, S. V., Elkarami, B., Ibrahim, M. F. K., & Alkhateeb, A. (2025). Clustering multi-omics data in Gleason scores 3+4 and 4+3 reveals 3 patterns.
  6. Mosa, H., Saleh, A., & Badarneh, A. (2025). Performance comparison of spatial data indexing using distributed systems.
  7. Venkatraman, S., Chakravarty, A., Shaik, N., Alhurani, I., & Alkhateeb, A. (2025). Machine learning-driven prediction of Gleason score 7 prostate cancer patterns using multi-omics data.
  8. Bulkrock, O., BaniMustafa, A., & Qusef, A. (2025). Data-driven decision-making in IT projects: A regression application in software estimation.
  9. Yousef, M., & Hassouneh, N. (2025). Enhancing cloud task scheduling efficiency: A hybrid metaheuristic approach using genetic algorithm and Salp Swarm Algorithm.
  10. Elsawy, A. E., Warda, N. M., & Ghoneimy, M. (2025). Improving warehouse efficiency with dynamic slotting optimization using genetic algorithm.
  11. Dael, F. A., & Avvad, H. (2025). Optimizing random forest hyperparameters for enhanced stock price prediction.
  12. Al-Badarneh, H. A., & Aref, A. M. K. (2025). A systematic review of process mining in healthcare.

Track 2: Artificial Intelligence

  1. Anfal, T. A., Yazan, T. M., Abdelmajid, B., & Heba, A. N. (2025). Machine learning-driven prediction of Alzheimer's disease.
  2. Mariam, H. M., Qabas, A. A., Mahmoud, A., & Heba, A. N. (2025). Prediction of the running time for multiplying two 2048x2048 matrices using a GPU OpenCL SGEMM Kernel.
  3. Deepthi, R. S., Pranay, G. P., Nikhileshwar, R. J., & Bhanu, P. A. (2025). Optimized temporal convolutional networks with multi-stage attention for efficient human action recognition.
  4. Mohammad, M. A., & Heba, A. N. (2025). Leveraging ensemble learning for multiclass diabetes prediction from health indicators.
  5. Ahmad, B. H., Ahmad, S. T., Ahmad, S. A., Mansoor, A., & Khalid, A. (2025). ICT: Iterative clustering with training: Preliminary results.
  6. Mohammad, K., Ronas, S., & Qinyi, L. (2025). Towards privacy-preserving data-driven education: The potential of federated learning.
  7. Satvik, R., Sathwik, N., Prasanth, A., Raja, K., & Lalitha, S. (2025). Enhancing perceptual quality of images using deep residual U-Net and PatchGAN discriminator.
  8. Tariq, B., Reem, A., Saja, T., & Ruby, K. (2025). Self-supervised learning for facial skin lesion classification.
  9. Leen, A., Lojain, M. H., Tala, G. H., & Heba, A. N. (2025). Asteroid orbit classification with machine learning: A data-driven approach.
  10. Rula, S., Layan, A., & Amjed, A. M. (2025). Solar panel fault detection and classification using transfer learning and deep neural networks.
  11. Tariq, B., Leen, D., Noor, A. H. A., & Hamza, S. (2025). Segmentation-guided CycleGAN for synthetic CT generation from MRI for radiotherapy.
  12. Sara, K. (2025). Interpretable traffic flow prediction using SHAP and STID-recurrence model.
  13. Mahmoud, S. M., Abdalrahman, E., & Ashraf, E. (2025). Automated multi-layer detection of bone fractures in X-ray images using transfer learning.
  14. Ghayda, A., & Bushra, A. (2025). Experimental evaluation of resampling techniques for imbalanced stroke data.
  15. Budidi, R., Lingam, S., Nadikuda, A., & Patharla, S. J. (2025). Affective speech processing using MFCC.
  16. Dima, A., & Omar, Q. (2025). Neo4j-driven content-based recommender system.
  17. Ifrat, I. U., Md, A., Dill, M. T., & Imran, A. (2025). Aspect-based sentiment analysis of Amazon product reviews using machine learning models and hybrid feature engineering.
  18. Amjad, A., Maria, Y., & Hebah, M. (2025). Ocular disease recognition using deep learning models.
  19. Ahmad, F., & Novy, N. R. A. M. (2025). Modification of YOLOv4-Tiny-3L architecture to improve the accuracy of airport object detection.
  20. Abdullah, M., Zaid, K., Refa'T, A., & Omar, Q. (2025). BiasLens: Graph machine learning approach for media bias detection.
  21. Hebah, M., Amjad, A., & Maria, Y. (2025). Optimizing task scheduling in cloud computing with deep learning: A diabetes detection case study.
  22. Batool, A. (2025). Water quality forecasting using time series techniques.
  23. Hamzah, Z., Qais, A., & Mohammad, A. (2025). Computed tomography computed tomography image enhancement using super-resolution generative adversarial network.
  24. Mohammed, A. A., & Fadi, A. (2025). A multi-step comparative framework for anomaly detection in IoT data streams.
  25. Hind, A., & Ashraf, E. (2025). Arabic dialect detection using large language models: A comparative analysis.
  26. Abdinasir, H. (2025). Enhancing smart grid security with machine learning: A comparative study of supervised and unsupervised techniques.
  27. Amal, A. D. W., Ayman, W., Aziz, A., Qusai, H., & Haya, A. (2025). Smart rescue system for private pools.
  28. Ebtehal, H. O., & Rawan, G. (2025). Advancing Arabic medical question answering systems with RAG and LLMs integration.
  29. Mohammad, A., Qasem, A., Asad, A., & Laila, B. (2025). AI in healthcare: Ethical and regulatory challenges.
  30. Syed, M. H., Abdul, B. M., Rafi, U. K., Syed, M. A. S., & Javiriya, H. A. (2025). FireSense: AI-based wildfire and smoke detection in forests.
  31. Omar, A. K., Ayman, A., & Ali, A. M. (2025). Dual-sensor fusion for real-time monitoring of crystal methamphetamine withdrawal symptoms using machine learning and Gramian angular fields.
  32. Mohammed, E., & Lana, I. (2025). Applying extreme machine learning with structure tuning for a phishing websites classification.

Track 3: Natural Language Processing

  1. Bader, A. M., & Alhijawi, B. (2025). Transformer-based approach for detecting LLM-generated scientific text.
  2. Alslman, Y., & Awajan, A. (2025). ArabicTextFool: A framework for Arabic adversarial attacks.
  3. Khalil, A., Alodibat, S., & Al-Madi, N. (2025). Fine-tuning fake review detection models with genetic algorithms.
  4. Duridi, T. M. A., Atwe, L., Jaber, A., Daraghmi, E., & Martínez, P. (2025). Detection of propaganda and bias in social media: A case study of the Israel-Gaza war (2023).
  5. Alsalama, A. A., & Elnagar, A. (2025). Boundary analysis in ensemble clustering for improved document classification.
  6. Salameh, K., Hamza, S., & Atiani, S. (2025). Enhancing Arabic hate speech detection: The role of word embedding techniques with deep learning models.
  7. Ignaco, M. A. E., & Ballera, M. A. (2025). Enhancing Bible verse search through topic modeling: An LDA-based approach.
  8. Bulkrock, O., Qusef, A., & BaniMustafa, A. (2025). Sentiment analysis of customer feedback and reviews in e-commerce systems.
  9. Shakya, R., Vadiee, F., & Khalil, M. (2025). A showdown of ChatGPT vs. DeepSeek in solving programming tasks.
  10. Al-Mashhadani, A., Awajan, S. A., El-Bouri, S., & Atiani, S. (2025). Leveraging contextualized and word embeddings for Arabic hate speech detection.
  11. Khaleel, M. R., & Abandah, G. A. (2025). Efficient stochastic error injection for optimizing large language models in Arabic spelling correction.

Track 4: Cybersecurity

  1. Abu Hejleh, A., Sufian, M., Almallah, O., & Abdel Nabi, H. (2025). Signature-based cyberattack detection: An AI-powered approach.
  2. Salem, M. J. A., & Mrian, M. (2025). AI-driven penetration testing: Automating exploits with LLMs and Metasploit – A VSFTPD case study.
  3. Onyeashie, B., Abubakar, M. A., Leimich, P., McKeown, S., & Russell, G. (2025). Privacy-preserving and scalable digital evidence management: A Hyperledger Fabric architecture with growth projections for law enforcement.
  4. Khalil, A., & Alkasassbeh, M. S. (2025). Self-adaptive moving target defense with cyberdeception for proactive defense of IoT networks.
  5. Radwan, M., Ashraf, S., & Atia, A. (2025). iCook: A smart tangible cooking interface integrating TUIO markers, hand gestures, object detection, emotion analysis, and eye gaze tracking.
  6. Alodibat, S., & Alkasassbeh, M. S. (2025). An enhanced model of DDoS attacks detection using one-hot encoding of feature categories.
  7. Faneela, F., Ahmad, J., Ghaleb, B., Jan, S. U., & Buchanan, B. (2025). Cross-platform benchmarking of the FHE libraries: Novel insights into SEAL and OpenFHE.
  8. Saleh, A., Mosa, H., & Alkasassbeh, M. S. (2025). Streaming-based intrusion detection system with big data and online learning algorithms.
  9. Albashayreh, A., Mosleh, H., & Sharieh, A. (2025). Hybrid optimization-based DDoS attack detection using Fireworks and Grey Wolf algorithms with deep learning.
  10. AlKhanafseh, M., & Surakhi, O. M. (2025). Enhancing SQL injection detection: CGAN with discriminator optimization using genetic algorithm.
  11. Ahmed, E. H. M., Ghaleb, B., Abubakar, M. A., & Jan, S. U. (2025). A blockchain-based secure data-sharing framework for automotive supply chains: Enhancing privacy with attribute-based encryption.
  12. Hirsi, A. (2025). Smart grid data management and analytics using cloud computing: Trends and future directions.
  13. Jabbar, H., Al-Janabi, S., & Syms, F. (2025). AI agents in autonomous vehicle cybersecurity: A self-adaptive model.

Track 5: Internet of Things

  1. Sheet, Y. S., Alsharbaty, F. S., & Thanoun, M. Y. (2025). Optimizing wireless networks for automated guided vehicles and remote-control systems in smart factory.
  2. El Bizri, M., Bazzi, H. S., Nassar, A., & Haidar, A. M. (2025). Enhancing healthcare data security with blockchain and advanced cryptography.
  3. Hassouneh, N., & Al-Sharaeh, S. H. (2025). Improving the performance of intrusion detection systems using LSTM deep learning models in IoT networks with the UNSW-NB15 dataset.
  4. Younisse, R., & Alkasassbeh, M. S. (2025). Evaluating deep learning for detecting data integrity attacks in energy smart grids.

Track 6: Computing Education

  1. Angrico, C., Halim, S. A., & Philander, R. (2025). Evaluation of an educational game based on compilation techniques to enhance students' understanding of programming concepts.
  2. Alazzam, S., & Al-Oudat, M. (2025). AI-driven classification of academic and psychological challenges in higher education.
  3. Maklad, Y. M., Warda, N. M., Elsawy, A. E., Aburawash, M. F., Belal, N. A., Abdelazim, I. M., & Atia, A. (2025). Enhancing preschool animal learning: A comparative study of tangibles and hand gestures-based interaction techniques.
  4. Issa, L., & Assaf, A. J. (2025). Exploring the impact of live coding on student experience in introduction to programming.

Track 7: Miscellaneous 

  1. Utomo, K., & Fajar, M. (2025). Analysis of player response priority to different types of danger cues.

  2. Al-Herani, A., Zakarneh, D., & Qusef, A. (2025). Navigating challenges and opportunities in project management for global software development (GSD).

  3. Al Ka'bi, A. (2025). Innovative PLC control algorithms in buildings using automated code generation.

  4. Alodibat, S., & Badarneh, A. (2025). An extended generic learned indexing (IGLIN) mechanism for complex geometries.

  5. Awajneh, R. K., & Elhassan, A. S. (2025). Alternative pain management and control with VR: The case for HCI with gradual calming effects.

  6. Pişirgen, A., & Hiziroglu, O. A. (2025). Applications of digital twin in precision medicine: A systematic review.

  7. Goudjil, L., Cherbal, S., Chaabna, S., Bensalem, I., Mashaleh, A. S., & Gawanmeh, A. (2025). Application of blockchain in the development of central bank digital currencies.