Computer Science

Program Mission: 

To deliver excellent graduate education in Computer Science, fostering advanced knowledge, skills, and research capabilities that produce innovative researchers and graduates to enhance sustainable economics, industrial partnerships, and societal impact. 

Program Goals:

 1. To prepare graduates for the professional field with advanced knowledge and technical skills in the field of computer science.

 2. To enhance innovative scientific research skills in the field of computer science for graduates to pursue a higher degree or a career in research.

 3. To contribute to finding appropriate solutions for sustainable economics through building strong societal and industrial partnerships. 

4. To promote commitment to professional and ethical behaviors in graduates.

 Program Learning Outcomes: 

• Knowledge and Understanding: 

K1. Identify advanced Computer Science principles and theories, research problems, procedures, and computing solutions for industrial, societal, and economic issues. 

K2. Recognize contemporary techniques, tools, and technologies from Computer Science, Artificial Intelligence, and Data Science, underlying the design and development of computer applications. 

• Skills: 

S1. Analyze a complex computing problem and apply the concepts of Computer Science, Artificial Intelligence, and Data Science to produce advanced computing based solutions. 

S2. Design, implement, and evaluate an advanced computing-based solution to meet a given set of complex computing requirements in the context of the program’s discipline. 

S3. Conduct advanced research, summarize, and evaluate scholarly literature related to the field of computer science.

 S4. Communicate effectively in written and oral form to convey computer science ideas, research results, and present complex technical concepts to both technical and non-technical audiences.

•  Values:

 V1. Show understanding of professional and ethical responsibilities when working independently or as part of a team. 

V2. Demonstrate teamwork, participate professionally in teams, and exhibit leadership characteristics.

 

Program Admissions and Graduates Statistics: 

 

 

Program Achievements, Awards, and Accomplishments:

• Achievement and Awards:

 1. Fahad Nahes AL Mohammadi won first place in Three-Minute Thesis Competition at the College Leve, Held at College of Computer Science and Engineering, Taibah University, 4th November 2025. 

2. Bushra Aljohani and Najla Alsaedi participated in the ALLAM 2024 Contest, project titled “Wazen – Arabic Poetry Meter Classification”, was selected among the Top 10 Most Innovative Projects, 2024. 

3. Alanoud SalmanAyidh AlHaysuni received a certificate of achievement for completing course on “Artificial Intelligence Concepts and Advanced Applications” by SADIA initiative for million Saudi into AI.on 15 September 20225. 

4. Nine(9) Students complete Nvidia training course and obtain Certificate of Competency Fundamentals of Deep Learning, 15 May 2025. 

5. Bdoor Hamdi Salem Al-Juhani, Research Poster Design by Academic Affairs and training, Ministry of health, 15/7/2025. 

• Research Accomplishments: 

  [1] Norah Aloufi, Liyakathunisa Syed , “A Systematic Review on Crowd Density Estimation Using Deep Learning Techniques: State of Art Methods, and Future Challenges” accepted in International Journal of Advanced Computer Science and Applications(IJACSA), 2026. 

  [2] Alamir, Roba, Ayman Noor, Hanan Almukhalfi, Reham Almukhlifi, and Talal H. Noor. "AI-Enhanced Cybersecurity in Edge Computing: Threats, Solutions, and Future Directions." ACM Computing Surveys (2026). 

  [3] Aljohani, Bushra, and Tawfeeq Alsanoosy. "Enhancing Medical Question Answering with LLMs via a Hybrid Retrieval-Augmented Generation Framework." Information 17, no. 2 (2026): 133. 

  [4] Bashaer Abdullah Alsaidalani, Alanoud Salman Alhaissoni, Liyakathunisa Syed, “Light weight Fine-Tuning of a transformer based OCR Model for Arabic Historical Manuscript Recognition” presented in 11th International Conference on Information and Communication Technology(ICICT) 2026, Springer Nature. 

  [5] Roba H. Alamir, Ayman Noor , Hanan Almukhalfi , Reham Almukhlifi and Talal H. Noor "SecFedDNN: A Secure Federated Deep Learning Framework for Edge–Cloud Environments." Systems 13.6 (2025): 463. 

  [6] Atheer Aleran, Hanan Almukhalfi, Nahla J. Abid, Ayman Noor, Abdulqader M. Almars, Talal H. Noor1, "Artificial intelligence and the Internet of Things in energy preservation: research prototypes, trends, and future directions." Computing 107.11 (2025): 209. 

  [7] Yasmeen Alluhaibi , Maimounah Allhujaili , Nouf Aljabri , Liyakathunisa Ansari, “Enhancing Signature Verification Using Siamese Neural Networks and Vision Transformers”, presented in IEEE- 18th International Conference on the Developments in eSystems Engineering (DeSE2025) 

  [8] Roba Mohmmad Alamir , Layan Abdulsatar Qurban , Leena Obaid , Liyakathunisa Syed, “A Hybrid CNN and Vision Transformer Model for Brain Tumor Classification Using EffViT-Net”, presented in IEEE- 18th International Conference on the Developments in eSystems Engineering (DeSE2025). 

  [9] Najla Alsaedi, Bushra Aljohani, Raghad Alharbi, Liyakathunisa Ansari, “Investigating Large Multimodal Models' Potential in Arabic Handwriting Recognition” presented in IEEE- 18th International Conference on the Developments in eSystems Engineering (DeSE2025). 

  [10] Amal Albalawi1, Wael M. S. Yafooz, “ Arabic offensive text classification using emojis: Including emoji data in Arabic natural language processing”, in International Journal of Electrical and Computer Engineering (IJECE) Vol. 15, No. 3, June 2025. 

  [11] Ebtesam Jaber Aljohani, Wael M. S. Yafooz,“ Enhanced Arabic-language cyberbullying detection: deep embedding and transformer (BERT) approaches”, IAES International Journal of Artificial Intelligence (IJ-AI) Vol. 14, No. 3, June 2025. 

  [12] Mimounah Ayed Alhujaili, Nouf Bader Aljabr, Raghad Majid Alharbi, Sahar Abdullah Almutairi, Abdul Ahad Siddiqi, “Investigating Use of 5G and AR in School Education”, International Journal of Computers and Informatics (IJCI), Issue (Vol 3, No 10), October 2024. 

  [13] Bushra Aljohani, Abdulmajeed Aljuhani, Tawfeeq Alsanoosy, “Enhancing Agile Requirements Change Management: Integrating LLMs with Fuzzy Best-Worst Method for Decision Support”, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 16, No. 3, 2025. 

  [14] Bushra Aljohani,”Web 3: Enhancing Smart Contract Security by using GNN Model”, accepted in 7th International Conference on Communication and Computational Technologies(ICCCT-2025). 

  [15] Shalbi, Bodor, and Tawfeeq Alsanoosy. "Authorship Attribution: Performance Model Evaluation." AI-Driven: Social Media Analytics and Cybersecurity. Cham: Springer Nature Switzerland, 2025. 203-217. 

  [16] Aljohani, Bushra, Abdulmajeed Aljuhani, and Tawfeeq Alsanoosy. "Enhancing Agile Requirements Change Management: Integrating LLMs with Fuzzy Best-Worst Method for Decision Support." International Journal of Advanced Computer Science & Applications 16.3 (2025). 

  [17] Almaghthawi, A., Yafooz, W. M., & Albalawi, N. S. (2025). Three Large Language Models for Solidity Smart Contract Vulnerability Detection. Journal of Artificial Intelligence and Technology, 5, 314-322. 

  [18] Qurban, L. A., Alsaeedi, A., & Yafooz, W. M. (2025, July). Credit Card Fraud Detection: a Review. In 2025 International Conference on Data Science and Its Applications (ICoDSA) (pp. 698-703). IEEE. 

  [19] Albalawi, A., & Yafooz, W. M. (2025). Arabic offensive text classification using emojis: Including emoji data in Arabic natural language processing. International Journal of Electrical and Computer Engineering (IJECE), 15(3), 3332-3345. 

  [20] Alturki, B., Yafooz, W. M., & Alsaeedi, A. (2025, April). Advances in Facial Emotion Recognition: A Comprehensive Review. In 2025 1st International Conference on Computational Intelligence Approaches and Applications (ICCIAA) (pp. 1-7). IEEE. 

  [21] Almaghthawi, A., & Yafooz, W. M. (2025, February). Comparative Analysis of Large Language Models in Solidity Smart Contract Vulnerability Detection. In 2025 2nd International Conference on Advanced Innovations in Smart Cities (ICAISC) (pp. 1-5). IEEE. 

  [22] Al-Jarboi, T. S., & Yafooz, W. M. (2025, February). Review on Artificial Intelligence Techniques for Recognizing Arabic Sign Language. In 2025 2nd International Conference on Advanced Innovations in Smart Cities (ICAISC) (pp. 1-6). IEEE. 

  [23] Hanan Almukhalfi, Ayman Noor, and Talal H. Noor. "Traffic management approaches using machine learning and deep learning techniques: A survey." Engineering Applications of Artificial Intelligence 133 (2024): 108147. 

  [24] Alqulaity, E. Y., Yafooz, W., Alourani, A., & Jaradat, A. (2024). Arabic Dialect Identification in Social Media: A Comparative Study of Deep Learning and Transformer Approaches. Intelligent Automation & Soft Computing, 39(5). 

  [25] Albalawi, A., Aljohani, E. J., Alqulaity, E. Y., Almukhalfi, H. M., & Yafooz, W. M. (2023, September). An analytical Study of Mobile Applications Recommended by The Ministry of Hajj and Umrah. In 2023 3rd International Conference on Computing and Information Technology (ICCIT) (pp. 605-610). IEEE. 

  [26] Albalawi, A., & Yafooz, W. M. (2023, August). An Overview of Artificial Intelligence in the Detection of Suspicious Arabic Text on Social Media Platforms. In 2023 International Conference on Artificial Intelligence Robotics, Signal and Image Processing (AIRoSIP) (pp. 415-421). IEEE. 

  [27] Alqulaity, E. Y., Yafooz, W. M., & Alsaeedi, A. A. (2023, August). Arabic Dialect Identification on Social Media: Mini Review. In 2023 International Conference on Artificial Intelligence Robotics, Signal and Image Processing (AIRoSIP) (pp. 408-414). IEEE. 

  [28] ALjohani, E. J., Yafooz, W. M., & Alsaeedi, A. (2023, August). Cyberbullying detection approaches: A review. In 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA) (pp. 1310-1316). IEEE.

   

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