Dr. Deya Banisakher is an accomplished computer scientist with a Ph.D. in Computer Science from Florida International University (FIU). He specializes in artificial intelligence (AI), machine learning (ML), and natural language processing (NLP). His work spans diverse industries, focusing on advanced analytics, computational models, and innovative solutions for complex data challenges.

Dr. Banisakher currently leads several high-profile AI and data science projects that involve developing and applying AI/ML and NLP technologies to real-world problems. He oversees teams of data scientists and engineers, guiding the creation of cutting-edge algorithms, semantic search tools, and data mining techniques designed to enhance decision-making processes in mission-critical environments.

In addition to his research, Dr. Banisakher is a dedicated educator with years of experience teaching and mentoring students. He has taught a wide range of courses at various institutions, including Natural Language Processing, Artificial Intelligence, Introduction to Machine Learning, Java Programming, C++, and Operating Systems. His passion for teaching extends from undergraduate students to graduate-level courses, where he emphasizes the practical applications of AI and ML in solving real-world problems. Dr. Banisakher also enjoys mentoring junior data scientists and leading student research projects, ensuring that his students are well-prepared for careers in AI and data science.

Dr. Banisakher’s contributions to the fields of AI, ML, and NLP continue to drive technological innovation, while his commitment to education helps shape the next generation of computer scientists.
PhD Computer Science, Florida International University, 2020
MS Computer Science, Florida International University, 2019
BS Computer Engineering, Bethune-Cookman University, 2014
  • Banisakher, D., Rishe, N., Finlayson, M. A. (2022). Systems and Methods for Determining Document Section Types. U.S. Patent No. 11,494,418. Washington, DC: U.S. Patent and Trademark Office 
  • Banisakher, D., Rishe, N., Finlayson, M. A. (2021). Systems and Methods for Segmenting Documents. U.S. Patent No. 10,949,622. Washington, DC: U.S. Patent and Trademark Office. 
  • Banisakher, D., Yarlott, W. V., Aldawsari, M., Rishe, N., Finlayson, M. A. (2020) Improving the Identification of the Discourse Function of News Article Paragraphs. In Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events (NUSE 2020). 
  • Aldawsari, M., Perez, A., Banisakher, D., Finlayson, M. A. (2020) Distinguishing Between Foreground and Background Events in News. In Proceedings of the 28th International Conference on Computational Linguistics, pp. 5171–5180, Barcelona, Spain (Online). International Committee on Computational Linguistics. 
  • Aziz, H., Banisakher, D. (2020) Operational interdependency between electrical substations and road networks under extreme events. In Proceedings of the sixth IEEE International Smart Cities Conference (ISC2 2020). pp. 1-8. Online.

Artificial Intelligence, Machine Learning, Data Mining, Natural Language Processing, AI in Business

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