Assoc. Prof. Dr. Hana Mujlid | Computer Engineering | Best Researcher Award
Assoc. Prof. Dr. Hana Mujlid | Computer Engineering – Chair of computer engineering at Taif Unversity, Saudi Arabia
Dr. Hana Mujlid is an accomplished academic and researcher in the field of Computer Engineering, specializing in communication networks and cybersecurity. Currently serving as an Associate Professor at Taif University, Saudi Arabia, Dr. Mujlid has contributed significantly to advanced research in network intrusion detection, wireless communication systems, and intelligent algorithms. Her professional portfolio reflects a consistent commitment to solving real-world problems through the integration of machine learning and networking technologies. With an international scholarly presence and a growing body of high-impact publications, Dr. Mujlid has established herself as a key contributor in the evolving landscape of digital communication and smart systems.
Academic Profile:
Google Scholar
Education
Dr. Mujlid earned her Ph.D. in Communication Engineering, equipping her with in-depth theoretical and applied knowledge in areas such as wireless sensor networks, signal processing, and IoT architecture. Her academic training laid a strong foundation for interdisciplinary exploration, and her doctoral work served as the cornerstone of her later research in robust and energy-efficient network designs. Her commitment to education is also reflected in her continuous involvement in professional development programs and research training workshops.
Experience
Over the years, Dr. Mujlid has built a rich academic career marked by teaching, mentoring, and leading research teams. She holds several years of experience as a faculty member at Taif University, where she has taught undergraduate and postgraduate courses in computer engineering and telecommunication systems. Beyond teaching, she has actively supervised graduate research projects and collaborated with international scholars on joint publications and research initiatives. She has also played a role in university-level committees, contributing to academic program design and departmental review processes.
Research Interest
Dr. Mujlid’s primary research interests include network security, machine learning for intrusion detection systems, wireless sensor networks, and sustainable communication protocols. Her work frequently explores the intersection of artificial intelligence with smart systems, focusing on how optimization algorithms can enhance the performance and reliability of real-time communication platforms. She is also invested in developing scalable and eco-friendly models for resource allocation in IoT environments. Her recent focus has turned toward using deep learning to detect DDoS attacks and exploring edge-based computing solutions for high-demand applications.
Awards
Dr. Mujlid has received academic recognition for her contributions to applied research in communication systems. She has been commended in academic forums and conferences for her innovative approaches to network modeling and her leadership in collaborative research environments. Her nomination for the Best Researcher Award 2025 reflects her status as a thought leader in her field, backed by quantifiable research impact and a strong publication record.
Selected Publications
Effective and Efficient DDoS Attack Detection Using Deep Learning Algorithm, Multi-layer Perceptron – Future Internet, 2023 – Cited by 62
Quality of Service and Power Consumption Optimization on the IEEE 802.15.4 Pulse Sensor Node Based on IoT – IJACSA, 2019 – Cited by 53
Load Frequency Control and Automatic Voltage Regulation Using Nature-Inspired Computation – Sustainability, 2022 – Cited by 44
Effective Network Intrusion Detection Using Stacking-Based Ensemble Approach – International Journal of Information Security, 2023 – Cited by 41
Balancing Technological Innovation and Environmental Sustainability: A Lifecycle Analysis of 6G Wireless Communication – Sustainability, 2024 – Cited by 17
Physical Stint Virtual Representation of Biomedical Signals Using Swarm Intelligence – IEEE Sensors Journal, 2023 – Cited by 17
Mathematical Framework for Wearable Devices in IoT Using Deep Learning – Diagnostics, 2022 – Cited by 16
Conclusion
Dr. Hana Mujlid is a distinguished academic with a clear vision for advancing intelligent communication systems. Her rigorous academic training, teaching excellence, collaborative research practices, and impactful publications collectively position her as an exemplary candidate for prestigious academic honors. Through her efforts, she continues to bridge the gap between theoretical computing and practical implementation, contributing to the betterment of smart societies and resilient digital infrastructure. With a forward-looking research agenda and a commitment to academic excellence, Dr. Mujlid represents the caliber of innovation and leadership that the Best Researcher Award seeks to recognize.