Lecturer at Hamm lippstadt university of applied sciences, Germany
Dr. Faezeh Pasandideh is a computer scientist and researcher with expertise in wireless communication, AI-driven network optimization, and cloud computing. She holds a Ph.D. from UFRGS, Brazil, and HSHL, Germany, where she developed an energy-efficient UAV positioning mechanism for improved wireless connectivity. With over five years of experience in academia and research, she has contributed to various international projects in cloud computing, machine learning, and wireless sensor networks. Dr. Pasandideh has published research in high-impact journals and conferences, focusing on AI-driven optimization, network scalability, and energy-efficient wireless communication.
Publication Profile
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Educational Details
Ph.D. in Computer Science
- Universidade Federal do Rio Grande do Sul (UFRGS), Brazil & Hamm-Lippstadt University of Applied Sciences (HSHL), Germany (2020–2024)
- Research Topic: Energy-efficient UAV BS positioning mechanism to improve wireless connectivity
- Advisors: Prof. Dr. Edison Pignaton de Freitas (UFRGS), Prof. Dr.-Ing. João Paulo Javidi da Costa (HSHL)
M.Sc. in Computer Science
- Islamic Azad University, Science and Research Branch, Iran (2012–2015)
- Thesis: Congestion management scheme in wireless body area networks
- Advisor: Prof. Dr. Abbas Ali Rezaei
B.Sc. in Computer Science
- Quchan University of Technology, Iran (2008–2012)
- Thesis: Design of a web application for session management
- Advisor: Prof. Dr. Mohammad Rezaei Kaskaki
Professional Experience
Dr. Faezeh Pasandideh has extensive experience in academia and industry. She served as a Lecturer and Research Assistant at Hochschule Hamm-Lippstadt, Germany (2022–2024), where she taught electrical engineering, control engineering, and computer science courses, while supervising student projects, bachelor theses, and internships. Prior to that, she worked as a Research Assistant in Cloud Computing and Machine Learning at Dell Technologies in partnership with Unisinos, Brazil (2021–2022), where she contributed to projects such as database scaling, quality bot development, and quality dashboard implementation. She also gained experience as a Research Assistant at Nasim Telecom, Iran (2019–2020), and a Research and Teaching Assistant at Payam Noor University (PNU), Iran (2017–2019), where she taught various courses including databases, AI, software development, and algorithm design.
Research Interest
Dr. Pasandideh specializes in wireless sensor networks (WSNs), UAV-assisted communication, machine learning, cloud computing, and artificial intelligence-based network optimization. Her research focuses on energy-efficient UAV positioning for wireless networks, IoT-based sensor networks, AI-driven optimization algorithms, and congestion management in wireless body area networks (WBANs). She is also interested in database scalability, cybersecurity in cloud environments, and AI applications in network communication.
Author Metrics
Dr. Pasandideh has published multiple peer-reviewed articles in the fields of computer networks, machine learning, and cloud computing. Her research is indexed in Scopus, IEEE Xplore, and other academic databases, reflecting her contributions to wireless communication, AI-based optimization, and network scalability.
Top Noted Publication
A Review of Applications and Communication Technologies for IoT and UAV-Based Sustainable Smart Farming
- Sustainability, 2021
- Citations: 236
A Fuzzy Congestion Control Protocol Based on Active Queue Management in Wireless Sensor Networks with Medical Applications
- Wireless Personal Communications, 2018
- Citations: 120
IoT-Based Smart Farming: Are LPWAN Technologies Suitable for Remote Communication?
- IEEE SmartIoT Conference, 2020
- Citations: 75
A Review of Flying Ad Hoc Networks: Key Characteristics, Applications, and Wireless Technologies
- Remote Sensing, 2022
- Citations: 58
Topology Management for Flying Ad Hoc Networks Based on Particle Swarm Optimization and Software-Defined Networking
- Wireless Networks, 2022
- Citations: 35
Conclusion
Dr. Faezeh Pasandideh is a highly suitable candidate for the Best Researcher Award, given her impactful contributions in wireless communication, AI-driven network optimization, and cloud computing. Her strong international collaborations, high-impact publications, and interdisciplinary research make her a standout researcher in her field. While expanding her leadership in large-scale research projects, publishing in top-tier journals, and increasing industry engagement could further solidify her reputation, she already demonstrates excellence and innovation in research.