Names marked with * refer to students (at the time of publication).
1. Alhajjar, E. (2022). Network Science. In Daniel Bennett, Paul Goethals and Natalie Scala (Ed.), Mathematics in Cyber Research. Boca Raton, FL: CRC Press.
2. Alexandersson, P. and Alhajjar, E. (2019). Ehrhart positivity and Demazure characters. Algebraic and Geometric Combinatorics on Lattice Polytopes. World Scientific Publishing Company.
Journal Articles
3. Alhajjar, E. (2025). AI in the Legal System: A Transformative Force in Criminal Justice. The Federal Sentencing Reporter, Duke Press. Available at SSRN 5128019.
4. Ghosh, S., Frase, H., Williams, A., Luger, S., Röttger, P., Barez, F., ... , Alhajjar, E. et al. (2025). AILuminate: Introducing v1.0 of the AI risk and reliability benchmark from MLCommons. arXiv preprint arXiv:2503.05731.
5. Agnarsson, G., Alhajjar, E., and Dawkins, A.* (2025). On locally finite ordered rooted trees and their rooted subtrees. Discrete Applied Mathematics, 360, 1-21.
6. Demirkaya, A.*, Lockwood, K.*, Stratis, G., Imbiriba, T., Ilieş, I., Rampersad, S., Alhajjar, E. et al. (2024). A Hybrid ODE-NN Framework for Modeling Incomplete Physiological Systems. IEEE Transactions on Biomedical Engineering.
7. Nunez, R., Alhajjar, E., Jaskowak, D., Danziger, Z. C., and Guidoboni, G. (2024). Onset of spontaneous filling and voiding cycles in the lower urinary tract: a modeling study. Bulletin of Mathematical Biology, 86(10), 122.
8. Vidgen, B., Agrawal, A., Ahmed, A. M., Akinwande, V., Al-Nuaimi, N., Alfaraj, N., Alhajjar, E. et al. (2024). Introducing v0.5 of the AI safety benchmark from MLCommons. arXiv preprint arXiv:2404.12241.
9. Duque, J. C. G., Balk, M., Dahdul, W., Lapp, H., Mikó, I., Alhajjar, E. et al. (2024). Meeting Report for the Phenoscape TraitFest 2023 with Comments on Organizing Interdisciplinary Meetings. Biodiversity Information Science and Standards, 8, e115232.
10. Alhajjar, E., Geneson, J., Prakash, A. and Robles, N. (2023). Efficient quantum loading of probability distributions through Feynman propagators. arXiv preprint arXiv:2311.13702.
11. Massoud, E. C., Hoffman, F., Shi. Z., Tang, J., Alhajjar, E. et al. (2023). Perspectives on Artificial Intelligence for Predictions in Ecohydrology. Artificial Intelligence for the Earth Systems, 2(4), e230005.
12. Hubbard, R. A., Pujol, T. A., Alhajjar, E., Edoh, K. and Martin, M. L. (2023). Sources of disparities in surveillance mammography performance and risk-guided recommendations for supplemental breast imaging: A simulation study. Cancer Epidemiology, Biomarkers & Prevention, 32(11), 1531-1541.
13. Alhajjar, E. and Nasta, M.* (2022). Viviani’s Theorem, Minkowski’s Theorem and Equiangular Polygons. Mathematics Exchange, 16 (1): 66-72.
14. Jaskowak, D., Nunez, R., Ramachandran, R., Alhajjar, E., Yin, J., Guidoboni, G. and Danziger, Z. (2022). Mathematical modeling of the lower urinary tract: A review. Neurology and Urodynamics, 41 (6), 1305-1315.
15. Alhajjar, E., Maxwell, P. and Bastian, N. (2021). Adversarial Machine Learning in Network Intrusion Detection Systems. Expert Systems with Applications, 186 (115782): 1-13.
16. Alhajjar, E. and Bradley, T.* (2021). Survival analysis for insider threat. Computational and Mathematical Organization Theory, 1-17.
17. Alhajjar, E., Fameli, R.*, and Warren, S.* (2021). Are Terrorist Networks Just Glorified Criminal Cells? Northeast Journal of Complex Systems (NEJCS), Vol. 3: No. 1 , Article 1.
18. Alhajjar, E. and Russell, T. (2020). Maximally Entangled Correlation Sets. Houston Journal of Mathematics, 46 (2): 357-376.
19. Alhajjar, E. and Lefèvre, C.* (2019). On the Similarity Metric. Mathematica Militaris, 24 (1): 4.
20. Alhajjar, E., Russell, T. and Steward, M. (2019). Numerical Semigroups and Kunz Polytopes. Semigroup Forum 99 (1): 153-168.
21. Chen J.* and Alhajjar, E. (2024). Simulating Disease Transmission Models Via Agent Interaction Using Large Language Models. In: Tiako P.F. (ed) Competitive Tools, Techniques, and Methods. Chronicle of Computing. OkIP.
22. Zaid, M.*, Hendrick, C.*, Alhajjar, E., Yin, J., Danziger, Z. C., and Guidoboni, G. (2024). Dynamic Insights into Lower Urinary Tract Function: Exploring Intraindividual and Interindividual Variability through Personalized Mathematical Modeling. In 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (pp. 1-4). IEEE.
23. Bradley, T.*, Watkins, L. and Alhajjar, E. (2023). Autonomic Cybersecurity Enhanced with Survival Analysis (ACSeSA). Proceedings of the IEEE 48th Conference on Local Computer Networks (LCN), Daytona Beach, Florida, USA (pp. 1-9) .
24. Vuthaj, A.* and Alhajjar, E. (2023). From Floats to Posits: A Conversion Framework. In 2023 Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE) (pp. 553-557). IEEE.
25. Chau, M. T., Almeida, J. L. D. S., Alhajjar, E. and Junior, A. C. N. (2023). A Machine Learning Pressure Emulator for Hydrogen Embrittlement. Proceedings of the 1st workshop on Synergy of Scientific and Machine Learning Modeling (SynS & ML), ICML, Honolulu, Hawaii, USA.
26. Bradley, T.*, Alhajjar, E. and Bastian, N. (2023). Novelty Detection in Network Traffic: Using Survival Analysis for Feature Identification. In 2023 IEEE International Conference on Assured Autonomy (ICAA) (pp. 11-18). IEEE.
27. Pondaven, A.*, Bakler, M., Guo, D., Hashim, H., Ignatov , M., Bhatt, S., Flaxman, S., Mishra, S., Alhajjar, E. and Zhu, Harrison (2022). Convolutional Neural Processes for Inpainting Satellite Images: Application to Water Body Segmentation. Proceedings of the NeurIPS 2022 Workshop on Tackling Climate Change with Machine Learning.
28. Hickman, S.*, Griffiths, P., Archibald, A., Nowack, P. and Alhajjar, E. (2022). Forecasting European Ozone Air Pollution With Transformers. Proceedings of the NeurIPS 2022 Workshop on Tackling Climate Change with Machine Learning.
29. Bradley, T.* and Alhajjar, E. (2022). AI Ethics: Assessing and Correcting Conversational Bias in Machine-Learning based Chatbots. Proceedings of the International Workshop on Cyber Social Threats, ICWSM, Atlanta, GA.
30. Alhajjar, E. and Ross, F.* (2022). A Historical Perspective on International Treaties via Hypernetwork Science. Proceedings of the International Conference on Network Science (NetSciX), Porto, Portugal.
31. Alhajjar, E. and Lee, K.* (2022). The U.S. Cyber Threat Landscape. Proceedings of the 21st European Conference on Cyber Warfare and Security, Chester, UK.
32. Alhajjar, E. and Morales, O.* (2022). A Network Science Approach For Stock Performance. Proceedings of the 51st Annual Conference of the Southeast Decision Sciences Institute, Jacksonville, FL.
33. Demirkaya, A.*, Imbiriba, T., Lockwood, K.*, Rampersad, S., Alhajjar, E., Guidoboni, G., Danziger, Z. and Erdogmus, D. (2021). Cubature Kalman Filter Based Training of Hybrid Differential Equation Recurrent Neural Network Physiological Dynamic Models. Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
34. Alhajjar, E. (2021). Alternate Reality: the Use of Disinformation to Normalize Extremism. Proceedings of the 4th Great Power Competition Conference, Tampa, FL.
35. Alhajjar, E. and Morse, S. (2020). A Layered Network Collapse Method in Cyber Terrorism. Proceedings of the 15th International Conference on Cyber Warfare and Security, Norfolk, VA, pages 18-22, XII.
36. Maxwell, P., Alhajjar, E. and Bastian, N. (2019). Intelligent Feature Engineering for Cybersecurity. Proceedings of the IEEE International Conference on Big Data (pp. 5005-5011).
37. Shah, R.*, Gaston, J.*, Harvey, M.*, McNamara, M.*, Ramos, O.*, You, Y.* and Alhajjar, E. (2019). Evaluating Evasion Attack Methods on Binary Network Traffic Classifiers. Proceedings of the Conference on Information Systems Applied Research ISSN Vol. 2167, p. 1508.
38. Alhajjar, E. and Bradley, T.* (2019). A Neural Network Primer for USMA Cadets. Proceedings of the Conference on Information Systems Applied Research ISSN Vol. 2167, p. 1534.
39. Alhajjar, E. and Russell, T. (2019). A Case Study of the Noordin Network. Proceedings of the Annual Social Computing, Behavior Prediction, and Modeling-Behavioral Representation in Modeling Simulation Conference.
40. Thomson, R., Alhajjar, E., Irwin, J.* and Russell, T. (2018). Predicting Bias in Machine Learned Classifiers Using Clustering. Proceedings of the Annual Social Computing, Behavior Prediction, and Modeling-Behavioral Representation in Modeling Simulation Conference.
41. Alhajjar, E. (2025). Preserving Learning Integrity In The Age of ChatGPT. The Cutting Ed.
42. Alhajjar, E. (2025). The Mirage of Consciousness in the Age of AI. Essays on the philosophy of AI.
43. Alhajjar, E. (2025). Innovate Together: U.S.-India Collaboration on AI and Emerging Technologies. In: Andreas Kuehn and Anulekha Nandi (ed), Shaping U.S.-India AI Cooperation: Insights from the Inaugural U.S.-India AI Fellowship Program. ORF Special Report, Technology Policy.
44. Alhajjar, E., Moon, A., and Lee, M. (2024). Upskilling and Retraining the Federal Workforce for AI Adoption. In: Rachel Slama, Nelson Lim, and Douglas Yeung (ed) Leading with Artificial Intelligence: Insights for US Civilian and Military Leaders on Strengthening the AI Workforce. RAND report.
45. Robles, N. M., Adams, C. S., Alhajjar, E., Moon, A., Geneson, J., Steier, J., and Leuschner, K. J. (2024). Using Artificial Intelligence and Quantum Computing to Enhance US Department of Homeland Security Mission Capabilities. RAND Report.
46. Hodgson, Q. E., Warren, K., Brosmer, J. L., Alhajjar, E. et al. (2024). Enhancing Space Mission Assurance to Cyber Threats. RAND Report.
47. Nguyen, T., Alhajjar, E. et al. (2024). Capability Based Analysis of CWMD Cognitive Sensor Network. RAND Homeland Security Operational Analysis Center.
48. Matsumura, J., Menthe, L., Hargrove, H., Alhajjar, E. et al. (2024). Mitigating the Impact of Future Adversarial Attacks on Artificial Intelligence (AI) Applications for the Army. RAND Arroyo Center.
49. Alhajjar, E. and Islam, T. (2024). SIAM Task Force Anticipates Future Directions of Computational Science. SIAM News.
50. Alhajjar, E. (2024). Third-party AI model validation. Special Report to the Department of Homeland Security (DHS).
51. Alhajjar, E. (2023). Report of the SIAM Convening on Climate Science, Sustainability, and Clean Energy. Society of Industrial and Applied Mathematics.
52. Alhajjar, E. (2022). A New Threat to NATO Missions. Joint Air & Space Power Conference Read Ahead, Essen, Germany.
53. Alhajjar, E. (2022). Adversarial Machine Learning Poses a New Threat to National Security. SIGNAL Magazine, July issue.
54. Alhajjar, E. (2021). “Quorkforce”: Developing a National Quantum Workforce. Policy Brief for the Federation of American Scientists, Education & Workforce.
55. Alhajjar, E. (2020). Virtual Question Answering and its Implications to National Security. Special Report to the Department of Homeland Security (DHS).
A New Valuation on Lattice Polytopes.
(Any of the above items is available in preprint format upon request)