Assoc. Prof. Dr. Shayesteh Tabatabaei | Network | Best Researcher Award
Assoc. Prof. Dr. Shayesteh Tabatabaei | Network – PHD at University of Saravan, Iran
Dr. Shayesteh Tabatabaei is a highly accomplished researcher specializing in advanced wireless communication systems, with over 15 years of academic contributions in the domains of Wireless Sensor Networks (WSNs), Mobile Ad Hoc Networks (MANETs), Mesh Networks, and the Internet of Things (IoT). Her research journey has been marked by deep theoretical innovation and practical problem-solving in optimizing energy efficiency, enhancing routing algorithms, and ensuring fault tolerance in networked systems. With a persistent focus on intelligent and adaptive protocols, Dr. Tabatabaei has built a strong reputation for her pioneering work that bridges computational intelligence with real-world applications. Her robust publication record and participation in high-impact peer-reviewed journals underscore her standing as a thought leader in communication networks and emerging technologies.
Academic Profile:
ORCID | Scopus
🔹 Education:
Dr. Tabatabaei pursued her graduate and doctoral studies in Computer Engineering with a focus on Communication Networks, during which she built a strong foundation in network architectures, optimization techniques, and embedded systems. Her educational background empowered her to explore and develop algorithmic models addressing energy consumption and data flow efficiency in dynamic network environments. The intersection of computer science principles with engineering applications shaped her academic vision and laid the groundwork for her future success in research and academia.
🔹 Experience:
Dr. Tabatabaei is currently serving as a faculty member at the University of Maragheh, where she has led multiple research initiatives and mentored undergraduate and postgraduate students in network technologies. Her academic tenure is complemented by active roles in curriculum development, international peer-review responsibilities, and research collaborations with experts across Asia and Europe. Over the years, she has served as a reviewer for journals such as PLOS ONE, Ad Hoc Networks, and The Journal of Supercomputing, reflecting her commitment to maintaining scholarly integrity and advancing knowledge in the field.
🔹 Research Interest:
Her primary research interests revolve around energy-aware routing protocols, swarm intelligence, fuzzy logic, and optimization algorithms applied to wireless communication systems. In particular, she focuses on using biologically inspired metaheuristics—such as Cat Swarm, Cuckoo Search, and Social Spider Optimization—to enhance the efficiency and fault-tolerance of WSNs and IoT frameworks. Dr. Tabatabaei is also exploring the integration of artificial intelligence in adaptive network environments for agriculture monitoring, vehicular networks, and industrial IoT. Her interdisciplinary outlook enables her to design resilient protocols that address both the technical and environmental challenges in smart system deployments.
🔹 Award:
Although Dr. Tabatabaei has not been publicly decorated with major international awards yet, her contributions to academia have been widely recognized through citations, editorial acknowledgments, and the consistent presence of her research in prominent scientific outlets. Her commitment to innovation, mentoring, and community service in the scholarly space positions her as an ideal nominee for the Best Researcher Award, where her impact can be formally celebrated and further encouraged.
🔹 Publication Highlights:
📘 “An Energy-Aware Protocol in Wireless Sensor Networks Using the Scattered Search Algorithm and Fuzzy Logic” (PLOS ONE, 2024) – An influential paper cited in multiple studies on adaptive routing, highlighting her expertise in combining AI with networking principles.
📘 “Cat Swarm Optimization-Based Energy Efficient Target Tracking in Wireless Sensor Network” (Research Square, 2023) – This innovative work used metaheuristics to boost energy efficiency in dense network environments.
📘 “Well Placement Optimization with a Novel Swarm Intelligence Optimization Algorithm: Sparrow Search Algorithm” (Geoenergy Science and Engineering, 2023) – Highly cited in energy resource management literature.
📘 “A Fault-Tolerant Clustering Approach for Target Tracking in Wireless Sensor Networks” (Wireless Personal Communications, 2024) – Developed robust tracking methods for critical infrastructure monitoring.
📘 “Introducing a New Routing Method in the MANET Using the Symbionts Search Algorithm” (PLOS ONE, 2023) – A cutting-edge paper that proposed improved adaptive routing under high mobility.
📘 “Provide Energy-Aware Routing Protocol in Wireless Sensor Networks Using Bacterial Foraging Optimization Algorithm and Mobile Sink” (PLOS ONE, 2022) – Widely cited for its hybrid optimization strategy and energy-aware logic.
📘 “A Novel Clustering Protocol Based on Willow Butterfly Algorithm for Diffusing Data in Wireless Sensor Networks” (Wireless Personal Communications, 2021) – Noted for its bio-inspired clustering innovation for big data streaming.
🔹 Conclusion:
Dr. Shayesteh Tabatabaei’s research portfolio presents a well-rounded, future-facing vision for the evolution of intelligent communication networks. Her strategic application of soft computing, bio-inspired algorithms, and energy-centric design has delivered innovative solutions to long-standing challenges in wireless systems. Through her persistent scholarly output, rigorous peer-review engagement, and adaptive mindset, she has continuously contributed to both theoretical advancements and application-driven innovation. Recognizing Dr. Tabatabaei with the Best Researcher Award not only honors her accomplishments but also amplifies the influence of emerging technologies in real-world problem-solving. Her journey reflects the essence of research excellence—curiosity, commitment, and community.
