Education:
Dr. Huda Ahmed has an extensive academic background in computer science, with a focus on neural networks and their applications. She obtained her Bachelor of Science (B.Sc.) degree in Computer Science from Basrah University, Iraq, in 1997. She continued her studies at the same institution, completing her Master of Science (M.Sc.) degree in 2001, further deepening her knowledge in the field. Dr. Ahmed is currently finalizing her doctoral studies, having earned her Ph.D. from Kufa University, Iraq, in 2024, specializing in artificial neural networks. Her rigorous academic journey has laid a strong foundation for her research and teaching roles in advanced computing and network security.
Professional Experience:
Dr. Huda Ahmed has extensive professional experience in academia and research, particularly in computer science and network security. With a teaching career spanning several years, she has delivered undergraduate courses in core computer science subjects, including Computer Networks, Computer Simulation, Graphics, and Image Processing. Dr. Ahmed’s research expertise is focused on developing innovative solutions in artificial neural networks and mobile security, where she has conducted influential studies on secure and efficient data transmission in mobile ad hoc networks (MANETs). She is also actively involved in applying blockchain frameworks to improve trust management in network protocols, contributing to enhanced mobile and network security. Dr. Ahmed’s dedication to both research and teaching has established her as a leader in her field, recognized for bridging academic theory with practical applications in mobile security.
Research Interests:
Dr. Huda Ahmed’s research interests lie at the intersection of artificial intelligence, network security, and mobile communication systems. Her primary focus is on the development and optimization of artificial neural networks, with particular applications in image processing, biometric recognition, and mobile ad hoc networks (MANETs). She is dedicated to enhancing mobile security frameworks, utilizing blockchain-enabled trust management systems for secure and energy-efficient data transmission. Additionally, Dr. Ahmed explores routing protocol performance within wireless multimedia sensor networks, aiming to improve data integrity and transmission efficiency across mobile networks. Her work also encompasses advanced image compression techniques and the application of multi-wavelet approaches, making significant strides in both computational efficiency and data security.
Skills:
Dr. Huda Ahmed possesses a diverse set of skills across multiple domains in computer science and network security. She is proficient in artificial neural network design and optimization, with a strong command of genetic algorithms for pattern recognition and classification tasks. Dr. Ahmed has expertise in mobile and wireless network protocols, specifically in mobile ad hoc networks (MANETs) and wireless multimedia sensor networks, where she excels in evaluating and enhancing routing protocols for efficient data transmission. Her skill set also includes blockchain frameworks for secure and energy-efficient routing, as well as advanced image processing techniques such as multi-wavelet compression and image segmentation. Additionally, Dr. Ahmed is well-versed in biometric systems, particularly in fingerprint documentation and matching, and has a solid foundation in computer graphics and simulation. Her programming capabilities support her extensive research in developing innovative solutions for mobile security and network resilience.
Conclusion:
Dr. Huda Ahmed’s expertise in neural networks, image processing, secure routing protocols, and blockchain-based trust management frameworks is aligned with the evolving needs in mobile security research. Her contributions in secure network architecture and data integrity frameworks position her as an ideal candidate for the Research for Innovations in Mobile Security Award.
Publication Top Noted:
An Optimized Link State Routing Protocol with a Blockchain Framework for Efficient Video-Packet Transmission and Security over Mobile Ad-Hoc Networks
- Authors: HA Ahmed, HAA Al-Asadi
- Journal: Journal of Sensor and Actuator Networks
- Volume: 13 (2), Article 22
- Cited by: 5
- Year: 2024
Compression of Image Using Multi-Wavelet Techniques
- Authors: HAA Saba Abdul-Wahed, Marwah Kamil Hussien
- Journal: International Journal of Nonlinear Analysis and Applications
- Volume: 13 (1), Pages 1519-1535
- Cited by: 2
- Year: 2022
An Overview of Routing Protocols Performance in Wireless Multimedia Sensor Networks
- Authors: HA Ahmed, HAA Al-Asadi
- Conference: 3rd Information Technology to Enhance e-Learning and Other Applications
- Cited by: 1
- Year: 2022
A Blockchain-Enabled Trust Management Framework for Energy-Efficient and Secure Routing in Mobile Ad-Hoc Networks
- Authors: HA Ahmed, HA Abed Al-Asadi
- Journal: TEM Journal
- Volume: 13 (2)
- Year: 2024
Performance Evaluation of MANETs Routing Protocols for Transmitting Video
- Authors: HA Ahmed, HAA Al-Asadi
- Journal: Journal of Basrah Research (Science)
- Volume: 49 (2), Pages 124-139
- Year: 2023
A Tri-Classes Method for Studying the Impact of Nodes and Sinks Number on Received Packets Ratio of MANETs Routing Protocols
- Authors: HA Ahmed, HAA Al-Asadi
- Conference: 15th International Conference on Developments in eSystems Engineering
- Year: 2023
A Novel and Enhanced Routing Protocol for Large Scale Disruption Tolerant Mobile Ad Hoc Networks
- Authors: Halia Al-Asadi, HA Ahmed, AH Al-Hassani, Nama Hambali
- Year: 2022
A Novel and Enhanced Routing Protocol for Large Scale Disruption Mobile Ad Hoc Networks
- Authors: Namah Hamid Ali Abed Al-Asadi, Huda A. Ahmed, Abdul-Hadi Al-Hassani
- Journal: International Journal of Computing
- Year: 2022