YU -AlKhobar

Dr. Walaa N. Ismail

Associate Professor of MIS

Biography:

Dr. Walaa N. Ismail is an Assistant Professor in the Management Information system Department at YU University. With a strong commitment to education and research, Dr. Walaa has dedicated their career to advancing knowledge and fostering the intellectual growth of students. With over 15 years of expertise and leadership in research, teaching, and administration. My specialization spans a wide range of areas within artificial intelligence research, actively exploring applications and developments in AI across diverse fields, including my deep involvement in Body Sensor Networks. I conduct research at the intersection of technology and healthcare, actively working on innovative solutions to enhance healthcare services, streamline processes, optimize resource allocation, and advance the field of Body Sensor Networks. I firmly believe in harnessing the power of AI, ML, and bio-inspired algorithms to make a meaningful impact in the field of health informatics. My contributions to various research publications have shed light on the practical application of data-driven technologies in the healthcare sector. With a diverse educational background and a strong commitment to excellence,

To date, my research papers have been published in internationally refereed high-quality academic journals, including well-respected platforms such as Springer, ScienceDirect, among others, with contributions to both Q1 and Q2 ranked journals.

I actively seek collaboration with professionals worldwide to address critical healthcare challenges and drive positive change. My mission is to improve the healthcare landscape through cutting-edge technologies and data-driven insights, driven by a vision of a world where healthcare becomes more efficient, accessible, and patient-centric.

Publications:

Journals

  1. Mohamed, Ebtsam A., Walaa N. Ismail, Osman Ali Sadek Ibrahim, and Eman MG Younis. "A two-stage framework for Arabic social media text misinformation detection combining data augmentation and AraBERT." Social Network Analysis and Mining 14, no. 1 (2024): 53.
  2. Walaa N. Ismail , Hessah A. Alsalamah, and Ebtsam A. Mohamed. "Genetic-efficient fine-tuning with layer pruning on multimodal Covid-19 medical imaging." Neural Computing and Applications 36, no. 6 (2024): 3215-3237.
  3. Abid-Althaqafi, Nahid R., Hessah A. Alsalamah, and Walaa N. Ismail. "The Impact of the Weighted Features on the Accuracy of X-Platform’s User Credibility Detection Using Supervised Machine Learning." IEEE Access (2024).
  4. Walaa N. Ismail, Osman Ali Sadek Ibrahim, Hessah A. Alsalamah, and Ebtesam Mohamed. "Multiobjective learning to rank based on the (1+ 1) evolutionary strategy: An evaluation of three novel pareto optimal methods." Electronics 12, no. 17 (2023): 3724.
  5. Walaa N. Ismail , Osman Ali Sadek Ibrahim , Hessah A. Alsalamah, and Ebtesam Mohamed. Multi-objective Learning to Rank Based on the (1+1)-Evolutionary Strategy: An Evaluation of Three Novel Pareto Optimal Methods. Accepted on Electronics (ISSN 2079-9292) on 29 August 2023.
  6. Walaa N. Ismail, Hessah A. Alsalamah. “Efficient Harris Hawk Optimization (HHO)-Based Framework for Accurate Skin Cancer Prediction”. Mathematics. 2023; 11(16):3601. https://doi.org/10.3390/math11163601.
  7. Walaa N. Ismail, “Snake-Efficient Feature Selection-Based Framework for Precise Early Detection of Chronic Kidney Disease”, Diagnostics 2023, 13(15), 2501.
  8. PP, Fathimathul Rajeena, Walaa N. Ismail, and Mona AS Ali. "A Metaheuristic Harris Hawks Optimization Algorithm for Weed Detection Using Drone Images." Applied Sciences13, no. 12 (2023): 7083.
  9. Walaa N. Ismail, Hessah A. Alsalamah, Mohammad Mehedi Hassan, and Ebtesam Mohamed. "AUTO-HAR: An adaptive human activity recognition framework using an automated CNN architecture design." Heliyon (2023).
  10. Walaa N. Ismail, Fathimathul Rajeena PP, and Mona AS Ali. "A Meta-Heuristic Multi-Objective Optimization Method for Alzheimer’s Disease Detection Based on Multi-Modal Data." Mathematics 11, no. 4 (2023): 957.
  11. Walaa N. Ismail , Fathimathul Rajeena PP, and Mona AS Ali. "MULTforAD: Multimodal MRI Neuroimaging for Alzheimer’s Disease Detection Based on a 3D Convolution Model." Electronics 11, no. 23 (2022): 3893.
  12. Walaa N. Ismail, Hessah A. Alsalamah, and Ebtesam Mohamed. "GA-Stacking: A New Stacking-Based Ensemble Learning Method to Forecast the COVID-19 Outbreak." Computers, Materials & Continua 74, no. 2 (2023).
  13. Hassan Md Rafiul, Walaa N. Ismail, Ahmad Chowdhury, Sharara Hossain, Shamsul Huda, and Mohammad Mehedi Hassan. "A framework of genetic algorithm-based CNN on multi-access edge computing for automated detection of COVID-19." The Journal of Supercomputing 78, no. 7 (2022): 10250-10274.
  14. Gumaei, Abdu, Walaa N. Ismail, Md Rafiul Hassan, Mohammad Mehedi Hassan, Ebtsam Mohamed, Abdullah Alelaiwi, and Giancarlo Fortino. "A decision-level fusion method for COVID-19 patient health prediction." Big Data Research 27 (2022): 100287.
  15. Walaa N. Ismail, Mohammad Mehedi Hassan, Hessah A. Alsalamah, and Giancarlo Fortino. "CNN-based health model for regular health factors analysis in internet-of-medical things environment." IEEE Access 8 (16 March 2020): 52541-52549.
  16. Aggarwal, Manav, T. Velmurugans, Marimuthu Karuppiah, Mohammad Mehedi Hassan, Ahmad Almogren, and Walaa N. Ismail. "Probability-based centralized device for spectrum handoff in cognitive radio networks." IEEE Access 7 (2019): 26731-26739.
  17. Walaa N. Ismail, M. M. Hassan and H. A. Alsalamah, "Context- Enriched Regular Human Behavioral Pattern Detection from Body Sensors Data," in IEEE Access, vol. 7, pp. 33834-33850, 2019, doi: 10.1109/ACCESS.2019.2904122.
  18. Walaa N. Ismail, Mohammad Mehedi Hassan, and Hessah A. Alsalamah. "Mining of productive periodic frequent patterns for IoT data analytics." Future Generation Computer Systems, 88 (2018), pp. 512-523, 2018.
  19. Walaa N. Ismail, Mohammad Mehedi Hassan, Hessah A. Alsalamah, and Giancarlo Fortino. "Mining productive periodic frequent patterns in tele-health systems." Journal of Network and Computer Applications, Volume 115, 1 August 2018, PP 33-47, 2018.
  20. Sharmeen, Shaila, Shamsul Huda, Jemal H. Abawajy, Walaa N. Ismail, and Mohammad Mehedi Hassan. "Malware threats and detection for industrial mobile-IoT networks." IEEE access 6, PP.15941- 15957, 2018.
  21. Walaa N. Ismail, Mohammad Mehedi Hassan: Mining Productive- Associated Periodic-Frequent Patterns in Body Sensor Data for Smart Home Care. Sensors 17(5): 952, 2017.
  22. Walaa N. Ismail, Mohammad Mehedi Hassan, and Giancarlo Fortino. "Productive-associated Periodic High-utility itemsets mining." In Networking, Sensing and Control (ICNSC), 2017 IEEE 14th International Conference on, pp. 637-642. IEEE, 2017
  23. Mofijul Islam, Md. Abdur Razzaque, Mohammad Mehedi Hassan, Walaa N. Ismail, Biao Song: Mobile Cloud-Based Big Healthcare Data Processing in Smart Cities. IEEE Access 5: 11887-11899, 2017.
  24. Walaa N. Ismail, Hoda H. Mokhtar, “A Novel Approach for Bioinformatics Workflow Discovery”, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 5, No. 11. 2014
  25. Walaa N. Ismail, Hoda H. Mokhtar, Ali El-Bastawissy, “A Flexible Tool for Web Services Selection in Service Oriented Architecture”, International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 2, No. 12.(1 January) 2012
  26. Walaa N. Ismail, Hoda H. Mokhtar, Ali El-Bastawissy, “Data Warehouses for Semantic Web Services Matchmaking”, Fifth International Conference on Intelligent Computing and Information Systems, Ain Shames University, Cairo, Egypt, 30 June- 3 July, 2011 (Session best paper)
  27. Walaa N. Ismail, Hoda H. Mokhtar, “New Language to Define Bioinformatics Workflow Using Web Services”, Service-Oriented Computing and Applications (SOCA), IEEE International Conference, December 12-14, 2011

Conferences

  1. Sara Khan, Walaa N. Ismail, Ebtesam Mohamed, Hessah A. Alsalamah. The Impact of Class Weight Optimization on Improving Machine Learning Outcomes in Identifying COVID-19 Specific ECG Patterns. DOI: 10.5220/0012413100003657 .  In Proceedings of the 17th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2024)- Volume 2, pages 562-567 ISBN: 978-989-758-688-0; ISSN: 2184-4305, Roma, Italy.
  2. Alsalamah, Sara A., Shada Alsalamah, Walaa N. Ismail, Hessah Alsalamah, and Chang-Tien Lu. "Building a Patient-Centered Virtual Hospital Ecosystem Using Both Access Control and CNN-Based Models." In 2022 IEEE International Conference on Big Data (Big Data), pp. 5200-5209. IEEE, 2022.
  3. Walaa N. Ismail, Mohammad Mehedi Hassan, and Giancarlo Fortino. "Productive-associated Periodic High-utility itemsets mining." In Networking, Sensing and Control (ICNSC), 2017 IEEE 14th International Conference on, pp. 637-642. IEEE, 2017.
  4. Walaa N. Ismail, Hoda H. Mokhtar, Ali El-Bastawissy, “Data Warehouses For Semantic Web Services Matchmaking”, Fifth International Conference on Intelligent Computing and Information Systems, Ain Shames University, Cairo, Egypt, 30 June- 3 July, 2011.(Session best paper).
  5. Walaa N. Ismail, Hoda H. Mokhtar, “New Language to Define Bioinformatics Workflow Using Web Services”, Service-Oriented Computing and Applications (SOCA), IEEE International Conference, December 12-14, 2011.
  6. Walaa N. Ismail, M. Sabih Aksoy. "Technical Perspectives on Knowledge Management in Bioinformatics Workflow Systems." International Journal of Advanced Computer Science and Applications (IJACSA), Vol. 6, No. 1. 2015

Teaching

Data Analysis tools

  • R
  • IBM SPSS

Programming languages

  • Python
  • Java
  • C#
  • PHP
  • NET
  • NET
  • C++
  • HTML
  • Java Script
  • Oracle Forms
  • Oracle BI

Other Languages

  • Virtual reality modeling language
  • Assembly
  • Latex
  • DBMS
  • Oracle
  • SQL Server

Undergraduate:

  • Project Management
  • Web Based Application
  • Business Telecommunications
  • Knowledge management systems.
  • Internet Business and Web Applications

Postgraduate:

  • Human Resources Information System
  • Principles and Practices of Communications & Networks
  • Digital Transformation

Services

  1. Member of accreditation committees
    • ABET
    • NCAAA
    • AACSB
  2. Appeal re-consideration Committee

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