Huda Ahmed | Networks Security | Innovations in Mobile Security

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Dr. Huda Ahmed | Networks Security | Innovations in Mobile Security

Lecturer at University of Basrah/ College of Computer Science and Information Technology, Iraq.

Dr. Huda Ahmed is an accomplished computer scientist specializing in artificial neural networks, with a focus on mobile and network security innovations. She earned her B.Sc. in Computer Science in 1997 and her M.Sc. in 2001 from Basrah University, Iraq, before completing her Ph.D. in 2024 at Kufa University, Iraq. Dr. Ahmed’s research spans image processing, multi-wavelet techniques, and the development of efficient routing protocols for mobile ad hoc networks (MANETs). Her work includes impactful contributions to the fields of image segmentation, video packet transmission, and blockchain-based trust management for secure routing. In addition to her research, Dr. Ahmed has extensive teaching experience in undergraduate computer science, delivering courses on computer networks, computer graphics, and image processing. She has been recognized for her innovative approaches to mobile security and her commitment to advancing network efficiency and data security.

Profile:

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

Mokhtar Mohammadi Ghanatghestani | Cybersecurity | Best Researcher Award

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Assist Prof Dr. Mokhtar Mohammadi Ghanatghestani | Cybersecurity | Best Researcher Award

Associate Professor at Islamic Azad University, Iran

Summary:

Dr. Mokhtar Mohammadi Ghanatghestani is an accomplished academic specializing in Computer Engineering with a focus on VLSI and computer network security. He earned his PhD and Master of Science degrees from Islamic Azad University, Science and Research Branch, Tehran, Iran, and his Bachelor of Science from Shahid Bahonar University, Kerman, Iran. With over 20 publications in prestigious journals and the successful supervision of more than 30 master’s and 4 PhD students, Dr. Ghanatghestani has made significant contributions to his field. His research interests include IoT, nanotechnology, and approximate computing. He also serves as the Head of the University Technology Incubator and is an active faculty member.

Profile:

Education:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani completed his PhD in Computer Engineering with a specialization in Computer Architecture at Islamic Azad University, Science and Research Branch, Tehran, Iran, in 2014, under the supervision of Dr. Hossein Pedram. He earned his Master of Science degree in Computer Engineering from the same university in 2010, with Dr. Keivan Navi as his thesis supervisor. Dr. Ghanatghestani obtained his Bachelor of Science degree in Computer Engineering, focusing on Hardware, from Shahid Bahonar University, Kerman, Iran, in 2008, where he was guided by Dr. Fahimeh Yazdanpenah.

Professional Experience:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani has a robust professional background in academia and research. As a faculty member, he has supervised over 30 master’s students and 4 PhD candidates, contributing to the publication of more than 20 articles in reputable scientific journals. He has completed significant industrial projects and is actively involved in ongoing research initiatives. Dr. Ghanatghestani has developed new memory and arithmetic circuits using nanotechnology, improving power consumption and delay. In the realm of IoT, he has proposed methods to enhance reliability and security. He also serves as the Head of the University Technology Incubator, fostering innovation and collaboration.

Research Interests:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani’s research interests span a wide array of topics within Computer Engineering. He is deeply engaged in the fields of Internet of Things (IoT), computer network security, and mobile ad-hoc networks. His work in nanotechnology and Very-Large-Scale Integration (VLSI) focuses on developing innovative memory and arithmetic circuits that improve power consumption and delay. Additionally, Dr. Ghanatghestani explores Multi-Value Logic (MVL) and approximate computing, contributing to advancements in computational efficiency and performance. His comprehensive research efforts are aimed at enhancing the reliability and security of modern computing systems.

Skills:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani possesses a diverse set of skills that underscore his expertise in Computer Engineering and related fields. With a strong foundation in VLSI design and computer architecture, he excels in developing advanced memory and arithmetic circuits using nanotechnology, thereby optimizing power consumption and performance. Dr. Ghanatghestani’s proficiency extends to the domains of IoT, where he implements innovative strategies to enhance system reliability and security. His competence in computer network security and mobile ad-hoc networks further demonstrates his capability in addressing critical challenges in modern computing environments. As Head of the University Technology Incubator, he fosters innovation and collaboration, leveraging his skills to drive impactful research and development initiatives.Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani possesses a diverse set of skills that underscore his expertise in Computer Engineering and related fields. With a strong foundation in VLSI design and computer architecture, he excels in developing advanced memory and arithmetic circuits using nanotechnology, thereby optimizing power consumption and performance. Dr. Ghanatghestani’s proficiency extends to the domains of IoT, where he implements innovative strategies to enhance system reliability and security. His competence in computer network security and mobile ad-hoc networks further demonstrates his capability in addressing critical challenges in modern computing environments. As Head of the University Technology Incubator, he fosters innovation and collaboration, leveraging his skills to drive impactful research and development initiatives.

Awards and Honors:

Assist. Prof. Dr. Mokhtar Mohammadi Ghanatghestani has garnered recognition for his outstanding contributions to the field of Computer Engineering. His dedication to research and innovation has been acknowledged through various awards and honors, underscoring his impact on advancing technologies in VLSI design, nanotechnology applications, and computer network security. Dr. Ghanatghestani’s accolades reflect his leadership in academia and his commitment to excellence in teaching and mentorship. As a respected figure in his field, he continues to receive acclaim for his significant achievements, which have not only enriched scholarly discourse but also influenced practical advancements in computing and technology.

Publications: