- TEES Researcher at TAMU-San Antonio, TEES Regional Divisions, Texas A&M Engineering Experiment Station (TEES)
- Associate Professor, Department of Computing and Cyber-Security, Texas A&M University – San Antonio - (San Antonio, Txas, United States) Texas A&M University – San Antonio - (San Antonio, Texas, United States)
Izzat Alsmadi is a Professor in the department of computing and cyber security at the Texas A&M, San Antonio. He has his master and PhD in Software Engineering from North Dakota State University in 2006 and 2008 respectively.
He has more than 100 conference and journal publications. His research interests include: Cyber intelligence, Cyber security, Software security, software testing, social networks and software defined networking. He is lead author, editor in several books including: Springer, The NICE Cyber Security Framework Cyber Security Intelligence and Analytics, 2019, Practical Information Security: A Competency-Based Education Course, 2018, Information Fusion for Cyber-Security Analytics (Studies in Computational Intelligence), 2016.
- Ph.D. in Software Engineering, North Dakota State University - (Fargo, North Dakota, United States) 2008
- M.S. in Software Engineering, North Dakota State University - (Fargo, North Dakota, United States) 2005
- M.S. in Computer Information Systems, University of Phoenix - (Phoenix, Arizona, United States) 2003
- B.Sc. in Electrical Engineering/Telecommunications, Mutah University - (Karak, Jordan) 1994
Academic Articles211
- Nahar, K., Alsmadi, I., Al Mamlook, R. E., Nasayreh, A., Gharaibeh, H., Almuflih, A. S., & Alasim, F. (2023). Recognition of Arabic Air-Written Letters: Machine Learning, Convolutional Neural Networks, and Optical Character Recognition (OCR) Techniques.. Sensors. 23(23), 9475-9475.
- Alhowaide, A., Alsmadi, I., & Tang, J. (2023). Towards the design of real-time autonomous IoT NIDS. 26(5), 2489-2502.
- Ahmad, R., Alsmadi, I., Alhamdani, W., & Tawalbeh, L. (2023). Zero-day attack detection: a systematic literature review. 56(10), 10733-10811.
- Ata, H., & Alsmadi, I. (2023). Evaluation of Machine Learning Algorithms for Message Spam Filtering.
Books14
- Alsmadi, I. (2023). The NICE Cyber Security Framework, Cyber Security Intelligence and Analytics. Springer Nature.
- Alsmadi, I. (2019). The NICE Cyber Security Framework, Cyber Security Intelligence and Analytics. Springer Nature.
- Alsmadi, I., Burdwell, R., Aleroud, A., Wahbeh, A., Al-Qudah, M. A., & Al-Omari, A. (2018). Practical Information Security A Competency-Based Education Course. Springer.
- Alsmadi, I. M., Karabatis, G., & AlEroud, A. (2017). Information Fusion for Cyber-Security Analytics Preface. Springer.
- AlRabayah, W., Khasawneh, R., AbuShamaa, R., & Alsmadi, I. (2017). Strategic Uses of Social Media for Improved Customer Retention. IGI Global.
Chapters46
- Alsmadi, I., & Al-Ramahi, M. (2024). Predictive analytics-based evaluation of performance of public bus transportation San Antonio, Texas as a case study. Smart and Sustainable Applications. 3-8. Oklahoma International Publishing.
- Alsmadi, I., OBrien, M. J., & Tuba, M. (2024). OpenAI ChatGPT and the Accelerated Spread of Biased Information. Lecture Notes in Networks and Systems. Intelligent Sustainable Systems. 11-20. Springer Nature.
- Lakkineni, S., Tawalbeh, L., & Alsmadi, I. (2023). Big Data and Blockchain for Cybersecurity Applications: Challenges and Solutions. Computational Intelligence for Cybersecurity Management and Applications. 3-28. Taylor & Francis.
- Alsmadi, I., Tsado, L., & Gibson, C. (2023). Towards Cyber Readiness Assessment in Rural Areas. Lecture Notes in Networks and Systems. Proceedings of the 2023 International Conference on Advances in Computing Research (ACR23). 630-639. Springer Nature.
- Alsmadi, I., & Tawalbeh, L. (2022). New Waves of Cyber Attacks in the Time of COVID19. Lecture Notes in Networks and Systems. Advances in Computing, Informatics, Networking and Cybersecurity. 617-630. Springer Nature.
Conference Papers118
- Zulu, J., Han, B., Alsmadi, I., & Liang, G. (2024). Enhancing Machine Learning Based SQL Injection Detection Using Contextualized Word Embedding. Proceedings of the 2024 ACM Southeast Conference on ZZZ. 211-216.
- Guerrero, J., Liang, G., & Alsmadi, I. (2023). Adversarial Text Perturbation Generation and Analysis. 2023 3rd Intelligent Cybersecurity Conference (ICSC). 00, 67-73.
- Al-Omari, A., Alsmadi, I., & Dendy, J. (2023). Anomaly Detection in Crypto Currency. 2023 3rd Intelligent Cybersecurity Conference (ICSC). 00, 63-66.
- O'Mara, A., Alsmadi, I., Aleroud, A., & Alharthi, D. (2023). Phishing Detection Based on Webpage Content: Static and Dynamic Analysis. 2023 3rd Intelligent Cybersecurity Conference (ICSC). 00, 39-45.
- Sharma, S., Alsmadi, I., Alkhawaldeh, R. S., & Al-Ahmad, B. (2022). Analytical and Predictive Model for the impact of social distancing on COVID-19 pandemic. 2022 13th International Conference on Information and Communication Systems (ICICS). 00, 405-410.
Repository Documents / Preprints33
- Kishiyama, B., & Alsmadi, I. (2023). A Review on Searchable Encryption Functionality and the Evaluation of Homomorphic Encryption.
- Liang, G., Guerrero, J., & Alsmadi, I. (2023). Mutation-Based Adversarial Attacks on Neural Text Detectors.
- Trombly, A., & Alsmadi, I. (2023). Resource Allocation Methods in Vanets:a Systematic Literature Review.
- Guerrero, J., Liang, G., & Alsmadi, I. (2022). A Mutation-based Text Generation for Adversarial Machine Learning Applications.