Dr Neamat Elgayar

Academic Leadership and Affiliations:

• Program Director of MSc Artificial Intelligence – Dubai Campus
• Chair of Industry Advisory Board – School of Mathematical and Computer Sciences
• Member of the Academics External Relations Group - Dubai Campus
• Member of the University Disciplinary Committee
• Senate member and represent the senate on the  University Research Degree Committee
• Member of the University Research Culture Indicators Working Group

Qualifications:

• Phd in Computer Science,
  Faculty of Engineering, Alexandria University, Egypt
  (Joint Phd program with Institute of Neural Information Processing, Faculty of Engineering and Computer Science, Ulm University, Germany) 1999
• MSc Computer Science and Automatic Control,
  Alexandria University, Egypt, 1993
• BSc Computer Science and Automatic Control,
  Alexandria University, Egypt, 1989

Dr Neamat Elgayar’s  main expertise  is in Machine Learning, Data analytics and Computational intelligence. Her work has focused on finding practical solutions using AI for problems related to customer analytics for tourism and retail, healthcare, transportation, sustainability and  education.

She works in areas related to Sentiment Analysis, Activity Recognition, Natural Language Processing, Large Larguage Models , Medical Imaging and Explainable AI. Her research has spanned machine learning models that combine data from different modalities (text, audio, images or videos) and leverage the information from different sources to improve model learning.

She is also interested  in exploring  deep learning methods for time series prediction and has used latest models like LSTMs and Transformers in transportation problems (predicting taxi/metro/bus demand) and in healthcare ( Intelligent Prosthetic Control).

Dr El Gayar welcomes collaboration with industry to provide innovative solutions. She has completed several projects with RTA, Dubai on Train delay forecast and Taxi demand prediction.

Dr El-Gayar has over 60 refereed publications and has supervised more than 30 MSc and Ph.D. students. She edited two books; ‘Off the Mainstream: Advances in Neural Networks and Machine Learning for Pattern Recognition’, Springer and ‘Special Issue on Computational Linguistics, Speech & Image Processing for Arabic Language’, World Scientific.

She has served as the chair of  the  Technical  Committee  TC3  on  Neural  Networks  and  Computational Intelligence of the International Association of Pattern Recognition (IAPR).  She also organizes several workshops in the field of machine learning.

Dr El Gayar is a member of the organizing team of Women in Data Science WiDS UAE event and has various activities and publications related to supporting women in Tech and Engineering. Dr El Gayar is also interested in general areas underpinning the future of AI like AI democratization, deploying AI responsibly and AI ethics and regulations.

Are You Paying Attention? Multimodal Linear Attention Transformers for Affect Prediction in Video Conversations.
Poh, J.Q. , See, J. , El Gayar, N.
In Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing (MRAC ’24), November 1, 2024, Melbourne, VIC, Australia. ACM, New York, NY, USA. 

StorySculptor: Offering a personalised text-based gaming experience using Large Language Models (LLMs)

Tamton, N. M. R.; Karim, K.; Elgayar, N.
Proceedings 18th International Conference on Information Technology and Applications (ICITA 2024), 17-19 October 2024. Sydney, Australia.  Lecture Notes in Network Systems Series, ISSN (Print): 2367-3370 (hardcopy) and ISSN (electronic):2367-3389 (electronic version)

Enhancing Myoelectric Prosthetic control: Deep Learning Strategies for Continuous Arm Kinematics Estimation and Cross-Subject Model Transferability from EMG Data.
El Mohandes, H.,  EL Gayar, N., Taylor, N., Turcanu, A.
Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 15-19 July 2024, Orlando, Florida, USA.

Comparative study of different machine learning models for customer churn analysis using SMOTE and feature variation along with customer segmentation
Thankam, M.S., El Gayar, N.
Proceedings of IEEE International Conference on Modelling, Simulation and Intelligent Computing, MoSICom 2023, 2023, pp. 637–642 DOI: 10.1109/MoSICom59118.2023.10458848

A Review of Capsule Networks in Medical Image Analysis
El-Shimy, H.,  Zantout, H., Lones, M., El Gayar, N.
Lecture Notes in Computer Science , 2023, 13739 LNAI, pp. 65–80 DOI: 10.1007/978-3-031-20650-4_6                                                               

Explainable Artificial Intelligence in Healthcare: Opportunities, Gaps and Challenges and a Novel Way to Look at the Problem Space
Korica, P., EL Gayar, N., Pang, W.
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2023, 13739 LNAI, pp. 65–80 DOI: 10.1007/978-3-030-91608-4_33

Artificial Neural Networks in Pattern Recognition
Lecture Notes in Computer Science 2023, Volume 13739, ISBN : 978-3-031-20649-8
DOI: https://doi.org/10.1007/978-3-031-20650-4
El Gayar, N., Trentin, E., Ravanelli, M., Abbas, H. (Eds)