Chengrui Zhou | Wireless Communication | Best Researcher Award

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Faezeh Pasandideh | Wireless Networks | Best Researcher Award

Posted on by sciencefather

Dr. Faezeh Pasandideh | Wireless Networks | Best Researcher Award

Lecturer at Hamm Lippstadt University of applied science , Germany

Faezeh Pasandideh is a dedicated researcher and academic specializing in computer science, wireless sensor networks (WSNs), and unmanned aerial vehicle (UAV) communications. She has contributed significantly to the fields of network optimization, machine learning, and energy-efficient systems. With extensive research experience across multiple institutions and industries, she has been actively involved in wireless connectivity enhancement, cloud computing, and AI-driven database management. Her work is widely recognized in peer-reviewed journals and international conferences, showcasing her expertise in network topology, IoT, and optimization algorithms. Currently, she serves as a lecturer and research assistant at Hochschule Hamm-Lippstadt, Germany, where she mentors students and advances research in embedded systems. Her interdisciplinary approach bridges academia and industry, ensuring impactful contributions to the field of computer science and engineering.

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Education 🎓

Faezeh Pasandideh pursued her Ph.D. in Computer Science at Universidade Federal do Rio Grande do Sul (UFRGS), Brazil, in collaboration with Hamm-Lippstadt University, Germany, from March 2020 to February 2024. Her research focused on developing an energy-efficient UAV base station positioning mechanism to improve wireless connectivity, under the guidance of Prof. Dr. Edison Pignaton de Freitas and Prof. Dr.-Ing. João Paulo Javidi da Costa. She completed her M.Sc. in Computer Science at the Islamic Azad University, Tehran, Iran, from 2012 to 2015. Her thesis, supervised by Prof. Dr. Abbas Ali Rezaei, explored congestion management schemes in wireless body area networks. She earned her B.Sc. in Computer Science from Quchan University of Technology, Iran, between 2008 and 2012. Her undergraduate thesis, advised by Prof. Dr. Mohammad Rezaei Kaskaki, focused on designing a web application for session management.

work Experience💼

Faezeh Pasandideh is currently a lecturer and research assistant at Hochschule Hamm-Lippstadt, Germany, where she has been contributing since September 2024. Her role includes teaching courses in electrical engineering, control engineering, and computer science while supervising students in thesis and project work. Prior to this, she was a research assistant in embedded systems at the same institution from September 2022 to September 2024, where she managed laboratory experiments and student mentorship. From March 2021 to September 2022, she worked as a research assistant in cloud computing and machine learning at Dell in partnership with UNISINOS, Brazil, focusing on DB scaling, Quality Bot, and Quality Dashboard projects. Between January 2019 and February 2020, she contributed as a research assistant at Nasim Telecom in Tehran, Iran, specializing in network optimization and wireless communications. Earlier in her career, she worked as a research and teaching assistant at Payam Noor University, Iran, from January 2017 to February 2019, where she taught subjects such as artificial intelligence, programming, and database management.

Skills

Faezeh Pasandideh has a strong technical skillset that includes programming in Python, C, C++, C#, ASP.NET MVC, and SQL. She is proficient in machine learning frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn. Her expertise extends to networking and simulation tools, including OPNET, OMNET++, Mininet-WiFi, and CappeliaSim (VREP). She has a deep understanding of data handling and analysis, using tools like NumPy, SciPy, Pandas, Matplotlib, and Seaborn. In the domain of cloud computing and monitoring, she is experienced with Grafana, Prometheus, VMware, and Dynatrace. Additionally, she possesses expertise in web development technologies such as Linux, Django, Power BI, Git, Adobe CC, and UML. Her multidisciplinary skill set enables her to contribute effectively to academic and industrial research.

Research Focus

Faezeh Pasandideh’s research primarily revolves around wireless sensor networks (WSNs), UAV-based networks, machine learning applications in networking, cloud computing, and IoT-driven solutions. She has extensively worked on improving data collection and transmission efficiency in WSNs. Her work in UAV-based networks focuses on optimizing connectivity and positioning mechanisms to enhance network performance. She integrates AI-driven models for network performance enhancement, leveraging machine learning techniques. Additionally, she has explored scalable database management and resource allocation in cloud computing environments. Another significant area of her research includes IoT and smart farming, where she investigates sustainable agricultural solutions using low-power wide-area networks (LPWAN). Her interdisciplinary expertise ensures the development of innovative and efficient technological solutions.

 

Conclusion✅

Dr. Faezeh Pasandideh is a highly qualified candidate for the Best Researcher Award, given her outstanding research contributions, technical expertise, and international collaborations. While there is room for growth in research leadership and public engagement, her strong publication record, industry partnerships, and commitment to teaching make her a strong contender for this prestigious recognition.

 

📚Publications to Noted

 

Design and Deployment of an Efficient Communication Service for Multi-UAV Systems

Authors: Pedro Henrique Morgan Pereira, Faezeh Pasandideh, Matheus Basso, João Paulo J. da Costa, Edison Pignaton de Freitas

Year: 2023

Citations: 2

Source: International Conference on Unmanned Aircraft Systems (ICUAS), pages 753-760

A Systematic Literature Review of Flying Ad Hoc Networks: State-of-the-Art, Challenges, and Perspectives

Authors : Faezeh Pasandideh, João Paulo J. da Costa, Rafael Kunst, Wayan Wicke Hardjawana, Edison Pignaton de Freitas

Year : 2023

Citations : 7

Source : Journal of Field Robotics, Volume 40, Issue 4, pages 955-979

An Improved Particle Swarm Optimization Algorithm for UAV Base Station Placement

Authors : Faezeh Pasandideh, Fabricio E. Rodriguez Cesen, Pedro Henrique Morgan Pereira, Christian Esteve Rothenberg, Edison Pignaton de Freitas

Year : 2023

Citations : 1

Source : Wireless Personal Communications, Volume 130, pages 1343-1370

A Review of Flying Ad Hoc Networks: Key Characteristics, Applications, and Wireless Technologies

Authors : Faezeh Pasandideh, João Paulo J. da Costa, Rafael Kunst, Niaz Islam, Wayan Wicke Hardjawana

Year : 2022

Citations : 7

Source : Remote Sensing, Volume 14, Issue 18, Article 4459

Topology Management for Flying Ad Hoc Networks Based on Particle Swarm Optimization and Software-Defined Networking

Authors: Faezeh Pasandideh, Thiago D. E. Silva, André A. S. Silva, Edison Pignaton de Freitas

Year: 2022

Citations: 7

Source: Wireless Networks, Volume 28, pages 257-272

A Review of Applications and Communication Technologies for Internet of Things (IoT) and Unmanned Aerial Vehicle (UAV) Based Sustainable Smart Farming

Authors: Nahina Islam, Md Mamunur Rashid, Faezeh Pasandideh, Biplob Ray, Steven Moore, Rajan Kadel

Year: 2021

Citations: 134

Source: Sustainability, Volume 13, Issue 4, Article 1821

IoT-Based Smart Farming: Are the LPWAN Technologies Suitable for Remote Communication?

Authors: Nahina Islam, Biplob Ray, Faezeh Pasandideh

Year: 2020

Citations: 7

Source: IEEE International Conference on Smart Internet of Things (SmartIoT)

An Optimized Service Differentiated Congestion Management Protocol for Delay-Constrained Traffic in Healthcare WSNs

Authors: Faezeh Pasandideh, Abbas Ali Rezaee

Year: 2020

Citations: 1

Source: Journal of Communication Engineering, Volume 9, Issue 1, pages 126-153

A Fuzzy-Based Energy-Efficient Clustering Routing Protocol in Underwater Sensor Networks

Authors: Javad Tavakoli, Neda Moghim, Ali Leila, Faezeh Pasandideh

Year: 2020

Citations: 7

Source: Journal of Communication Engineering, Volume 9, Issue 1, pages 154-167