Researcher, Department of Computer Engineering, University of Mazandaran, Babolsar, Iran.
Dr. Ali Abdi SeyedKolei is a seasoned academic and researcher with over 10 years of experience in Iran’s higher education, particularly at Mazandaran University ; his expertise spans computer networks, optimization, and the integration of AI technologies like machine learning and deep learning into diverse problem-solving domains such as networking, healthcare, and logistics ; with strong command in Python, MATLAB, and solver tools like CPLEX, he excels at designing mathematical models for complex systems ; his passion for teaching and innovation defines his career trajectory .
Profile
Scholar
🎓 Education
Dr. Abdi earned his Ph.D. in Computer Engineering from Ferdowsi University of Mashhad (2015–2021) with a thesis on dynamic controller placement in software-defined networks to reduce costs and enhance survivability ; he holds an M.Sc. from Shahid Beheshti University (2010–2012), focusing on wireless sensor networks and fuzzy logic ; both degrees demonstrate his commitment to blending theory with real-world impact through advanced optimization and network resilience strategies .
💼 Experience
Dr. Abdi has served as a lecturer and faculty member at the University of Mazandaran and Parsa Babolsar Institute since 2010, delivering specialized undergraduate courses in computer engineering such as networks, databases, and operating systems ; he combines academic rigor with industry-relevant teaching, enabling students to understand core principles and emerging technologies ; his contributions extend beyond teaching, involving mentorship, research, and curriculum development, showcasing his dedication to the growth of Iran’s tech education ecosystem .
🏅 Awards and Honors
Dr. Abdi was awarded third place for Thesis of the Year in Computer Engineering and IT among national submissions from 2020–2022 ; this recognition underscores his impactful research on survivable and cost-efficient controller placement in SDNs ; his scholarly publications in leading journals like IEEE Access and The Journal of Supercomputing further affirm his national and international recognition in computer networks and optimization .
🔍 Research Focus
Dr. Abdi’s research bridges software-defined networking (SDN), wireless sensor networks (WSNs), optimization, and operational research ; he explores how fuzzy logic, machine learning, and metaheuristics like iterated local search improve network survivability and resource allocation ; his studies provide novel models and algorithms that elevate network performance and efficiency in complex environments ; his interdisciplinary scope also includes medical and supply chain applications, reflecting his adaptable approach to intelligent systems research .
📝 Conclusion
Dr. Ali Abdi SeyedKolei demonstrates strong potential as a candidate for the Best Researcher Award, especially within the domains of computer networks and intelligent systems. His consistent publication record, solid technical foundation, and commitment to education make him a commendable contender. However, for higher-tier recognition, expanding international presence, showcasing measurable impact, and securing further awards or funding would significantly bolster his candidacy. Currently, he is well-suited for institutional or national-level honors, with the potential for broader recognition with strategic advancement.
Publication
Authors: Moradi, A.; Abdi Seyedkolaei, A.; Hosseini, S.A.
Title: Controller placement in software defined network using iterated local search
Year: 2020
Citations: 14
Authors: Abdi Seyedkolaei, A.; Hosseini Seno, S.A.; Moradi, A.
Title: Dynamic controller placement in software-defined networks for reducing costs and improving survivability
Year: 2021
Citations: 13
Authors: Abdi Seyedkolaei, A.; Hosseini Seno, S.A.
Title: Multi-criteria decision-making for controller placement in software-defined wide-area networks
Year: 2021
Citations: 11
Authors: Seyedkolaei, A.A.; Seno, S.A.H.; Moradi, A.; Budiarto, R.
Title: Cost-effective survivable controller placement in software-defined networks
Year: 2021
Citations: 10
Author: Seyedkolaei, A.A.
Title: CFMTL: Clustering Wireless Sensor Network Using Fuzzy Logic and Mobile Sink In Three-Level
Year: 2014
Citations: 4
Authors: Seyedkolaei, A.A.; Seno, S.A.H.; Budiarto, R.
Title: Kernel Search-Framework for Dynamic Controller Placement in Software-Defined Network
Year: 2021
Citations: 2
Author: Zakerolhosseini, A.A.S.A.
Title: Topology control in wireless sensor networks using two-level fuzzy logic
Year: 2015
Citations: 1* (*possibly uncertain)