Colored
Grayscale
Dr. Shaikhah Alkhadhr is an accomplished academic and researcher with a Ph.D. in Computer Science and Engineering from Pennsylvania State University, USA. Her doctoral work focused on modeling clinical acoustic information systems using Physics-Informed Machine Learning under the supervision of Prof. Mohamed Almekkawy. She also holds a Master’s and Bachelor’s degree in Computer Engineering from Kuwait University.
Dr. Alkhadhr’s research interests span deep learning, therapeutic and imaging information systems, networks and computer security, and information privacy. Her work has been recognized at international conferences, with multiple publications in IEEE and peer-reviewed journals. She has served as a reviewer for prestigious conferences, including the IEEE International Ultrasonics Symposium and Cogent OA publications.
In addition to her research accomplishments, Dr. Alkhadhr has significant teaching experience. She has taught courses on programming (Python, C++, Java), data structures, and discrete math, and has guided students in machine learning and computer security. Professionally, she has worked in network security and IT development, implementing secure systems and managing critical infrastructure at Kuwait University.
Dr. Alkhadhr is certified in ethical hacking, CCNA security, and deep learning technologies, reflecting her expertise in cybersecurity and advanced AI applications. Her work has earned her recognition in academic and professional circles, showcasing her dedication to innovation and excellence in computer science and engineering.
Degrees
- Ph.D. in Computer Science and Engineering
- Pennsylvania State University, USA (2023)
- Dissertation: Modeling a Clinical Acoustic Information System Using Physics-Informed Machine Learning
- M.Sc. in Computer Engineering
- Kuwait University, Kuwait (2016)
- Thesis: Mitigating the Effects of Replay Attacks in Wireless Sensor Networks
- B.Sc. in Computer Engineering
- Kuwait University, Kuwait (2011)
Graduation Project: Eye-hint Footprint for the Visually Impaired
Certifications
- Microsoft Technology Associate (MTA) (2017)
- Microsoft Office Suite (MOS) Specialist (2017)
- Security+ Certification (2016)
- Certified Ethical Hacking (CEH) (2015)
- CCNA Security (2013)
- CCNA Network Fundamentals (2010-2013)
- Fundamentals of Deep Learning, NVIDIA DLI (2023)
Assistant Professor in the Information Science Department
Member of the Research and Graduate Studies Committee in the Information Science Department
Member of the Social and Student Activities Committee in the Information Science Department
Assistant Professor, Information Science Department, Kuwait University (Feb 2024-Current): Research and Teaching.
Lecturer Assistant, Electrical Engineering and Computer Science, Pennsylvania State University (Sep-Dec 2022): Grading, student support, exam proctoring.
Teaching Assistant, Department of Computer Engineering, Kuwait University (Sep 2011–2012): Taught C++ and Java labs; developed online courses.
Computer Engineer, Vice Dean Office of Development and Planning, Kuwait University (Oct 2015–2018): Coordinated IT projects, implemented server virtualization, improved university rankings, and conducted Microsoft O365 setup and training.
Junior Computer Engineer, Network Security Section, Center of Information Systems, Kuwait University (Dec 2012–2015): Managed network security—configured Cisco firewalls, VPNs, and SSL certificates; handled security incidents and system audits.
Physics-Informed Neural Networks
Deep Learning
Partial Differential Equations Modeling
Therapeutic and Imaging Information Systems
Networks and Computer Security
Information Security and Privacy
- Machine Learning
- Information Systems
- Computer Security
- Computer Networks
- Information Privacy and Data Protection
- Programming (Python, C++, Java)
- Data Structures
- Discrete Mathematics
Alkhadhr, S., & Almekkawy, M. (2024). "Multifrequency Encoding in PINNs for Precision Wave Equation Modeling in Inhomogeneous Media." IEEE UFFC Joint Symposium.
Alkhadhr, S., & Almekkawy, M. (2023). "Modeling the Wave Equation Using Physics-Informed Neural Networks Enhanced With Attention to Loss Weights." ICASSP 2023 - IEEE International Conference on Acoustics, Speech and Signal Processing.
Alkhadhr, S., & Almekkawy, M. (2023). "Wave Equation Modeling via Physics-Informed Neural Networks: Models of Soft and Hard Constraints for Initial and Boundary Conditions." Sensors, 23(5), 2792.
Alkhadhr, S., & Almekkawy, M. (2022). "Physics-Informed Neural Networks with Resampling Technique to Model Ultrasound Wave Propagation of a Multi-Element Transducer." IEEE International Ultrasonics Symposium.
Alkhadhr, S., & Almekkawy, M. (2021). "A Combination of Deep Neural Networks and Physics to Solve the Inverse Problem of Burger's Equation." IEEE EMBC Conference.
Alkhadhr, S., & Almekkawy, M. (2021). "Modeling the Forward Wave Propagation Using Physics-Informed Neural Networks." IEEE International Ultrasonics Symposium.
Alkhadhr, S. (2018). "Securing Ad-Hoc On-Demand Distance Vector Protocol in Wireless Sensor Networks: Working with What the Node Can Offer." IEEE International Conference on Computing Sciences and Engineering.
AlKhadhr, S., & AlAli, F. (2017). "E-Learning Systems Requirements Elicitation." International Journal of Virtual and Personal Learning Environments, 7(1), 44–55.
Alkhadhr, S., & Alkandari, M. (2017). "Cryptography and Randomization to Dispose of Data and Boost System Security." Cogent Engineering.
Alkhuder, S., Burhama, D., & Alsumait, L. (2016). "Mining Attributes of Cyber Threats to Children and Teenagers of Kuwait in Online Social Networks." Ministry of Interior National Conference for Protecting Children Safety on Social Networks.