Omid Abachian Ghasemi | Wireless Sensors and WSN | Best Researcher Award

Dr. Omid Abachian Ghasemi | Wireless Sensors and WSN | Best Researcher Award

PhD Graduate at urmia university, Iran

Omid Abachian Ghasemi is a dedicated researcher in the field of wireless communications, specializing in UAV-assisted and RIS/IRS-assisted wireless networks. With a strong academic foundation, including a Ph.D. in Electrical Engineering from Urmia University (2024), his work focuses on resource and power allocation strategies in wireless-powered sensor networks. He has published several high-impact articles in renowned journals such as IEEE Internet of Things Journal, IEEE Communications Letters, IEEE Access, and Computer Networks, addressing key challenges in throughput maximization and network optimization. Proficient in MATLAB, Python, and LaTeX, Omid combines analytical expertise with practical simulation skills. Fluent in Persian, English, and Turkish, he is well-equipped for international collaboration. His research reflects a deep commitment to advancing next-generation wireless communication systems, making him a strong candidate for recognition as a leading researcher in sensing and communication technologies.

Professional Profile 

🎓 Education Background of Omid Abachian Ghasemi

Omid Abachian Ghasemi has built a solid academic foundation in the field of Electrical Engineering. He earned his Bachelor’s degree in Electrical Engineering from Tabriz University in 2012, where he developed a strong grasp of core engineering principles. Continuing his academic journey, he completed a Master of Science in Electrical Engineering (Communication) at Sahand University of Technology, Tabriz, in 2015, with a focus on advanced communication systems. Most recently, he achieved a significant milestone by completing his Ph.D. in Electrical Engineering – Wireless Communication at Urmia University in 2024, where he specialized in cutting-edge topics such as UAV and RIS-assisted wireless networks. His educational trajectory reflects a consistent dedication to mastering both theoretical and applied aspects of modern communication technologies.

💼 Professional Experience of Omid Abachian Ghasemi

Omid Abachian Ghasemi has cultivated a focused and research-driven professional career in the field of wireless communications and sensor networks. His expertise lies in the design and optimization of advanced wireless systems, particularly involving UAV-assisted, RIS/IRS-enabled, and wireless-powered sensor networks. Throughout his academic journey, he has actively contributed to multiple high-impact research projects, leading to publications in prestigious IEEE journals. His hands-on experience with simulation tools like MATLAB and Python, along with his proficiency in LaTeX for technical writing, has enabled him to develop and communicate complex algorithms and network models effectively. Although primarily rooted in academia, Omid’s work demonstrates a deep understanding of practical engineering challenges, especially in resource allocation, network throughput maximization, and next-generation communication systems, making him a valuable contributor to the future of smart wireless technologies.

🔬 Research Interests of Omid Abachian Ghasemi

Omid Abachian Ghasemi’s research interests lie at the forefront of next-generation wireless communication systems, with a particular focus on UAV-assisted networks, Reconfigurable Intelligent Surfaces (RIS/IRS), and wireless-powered sensor networks. His work centers on developing advanced resource and power allocation algorithms, aiming to maximize network efficiency and throughput in energy-constrained environments. He is especially interested in exploring TDMA and FDMA techniques within RIS-assisted architectures and optimizing UAV placement for improved connectivity and coverage. By integrating aerial platforms and intelligent reflecting surfaces into wireless systems, Omid seeks to overcome traditional limitations in wireless communication, contributing significantly to the advancement of green, adaptive, and high-performance communication networks.

🏆 Awards and Honors of Omid Abachian Ghasemi

While specific awards and honors have not been listed in the available profile, Omid Abachian Ghasemi’s recent achievements reflect a high level of academic excellence and research impact. His acceptance and publication of multiple papers in top-tier IEEE journals, such as IEEE Internet of Things Journal, IEEE Communications Letters, and IEEE Access, serve as strong indicators of his scholarly recognition in the field of wireless communications. These publications, combined with his contributions to cutting-edge research on UAV and RIS-assisted networks, suggest that he is well-positioned to receive prestigious academic and research awards in the near future. His continued dedication and innovative work make him a strong contender for honors such as the Best Researcher Award in sensing and communication technologies.

📚 Publications Top Noted

1. Joint Optimization of UAV Placement and Resource Allocation in FDMA Wireless‑Powered Sensor Networks

  • Authors: Omid Abachian Ghasemi & Mehdi Chehel Amirani
  • Year: 2025 (in IEEE Access)
  • Citation: DOI 10.1109/ACCESS.2025.3574193

2. The design of an RIS‑assisted FDMA wireless sensor network for sum throughput maximization

  • Authors: Omid Abachian Ghasemi; Masoumeh Azghani; Mehdi Chehel Amirani
  • Year: October 2025 (Computer Networks)
  • Citation: DOI 10.1016/j.comnet.2025.111512

3. Resource Allocation in a RIS‑Assisted TDMA Wireless Powered Sensor Network Using UAV

  • Authors: Omid Abachian Ghasemi & Mehdi Chehel Amirani
  • Year: June 2025 (IEEE Communications Letters)
  • Citation: DOI 10.1109/LCOMM.2025.3562118

4. Resource and Power Allocation for Sum‑Throughput Maximization in RIS‑Assisted TDMA Wireless Sensor Networks

  • Authors: Omid Abachian Ghasemi; Mehdi Chehel Amirani; Masoumeh Azghani
  • Year: July 1, 2024 (IEEE Internet of Things Journal)
  • Citation: DOI 10.1109/JIOT.2024.3390199

 Conclusion

Omid Abachian Ghasemi is a strong and promising candidate for the Best Researcher Award, particularly in the fields of intelligent wireless networks and sensor technologies. His recent and focused publication track record in top-tier IEEE journals, combined with his advanced studies and technical skill set, clearly demonstrates innovation and depth.

 

Assoc Prof Dr. SEDDIK RABHI | Wireless Sensor Networks | Best Researcher Award

Assoc Prof Dr. SEDDIK RABHI | Wireless Sensor Networks | Best Researcher Award

Assoc Prof Dr. SEDDIK RABHI, University of Adrar, Algeria

Dr. Seddik Rabhi, born on August 21, 1987, in Tamantit, Adrar, Algeria, is a distinguished academic in the field of computer science. He completed his Baccalaureate in Natural and Life Sciences in 2004 and pursued higher education in computer science, earning an Engineer degree in Advanced Information Systems from Tahri Mohamed University, Bechar, in 2009. He further advanced his studies with a Magister in Simulation and Artificial Intelligence from the University of Science and Technology of Oran in 2014, and a Ph.D. in Optimization of Localization Algorithms in Wireless Sensor Networks from Ferhat Abbas University Setif 1 in 2021. Dr. Rabhi holds an HDR from Ahmed DRAIA University – Adrar, awarded in 2022. His professional career includes roles as Head of IT Unit at the Industry and Mines Directorate and various academic positions at the Department of Computer Science, University of Adrar, where he is currently a Lecturer Class A and Head of the SI Specialty in Intelligent Systems. His teaching portfolio encompasses courses in information systems, artificial intelligence, data mining, and neural networks.

Professional Profile:

Summary of Suitability

Dr. Seddik Rabhi’s research is primarily centered on optimization algorithms for localization in wireless sensor networks (WSNs). His work includes various metaheuristics and bio-inspired algorithms, such as the fruit fly optimization algorithm, chicken swarm optimization, and hybrid approaches, which are significant for improving the accuracy and efficiency of localization in WSNs.

Education

  1. Baccalaureate (June 2004)
    • Al-Maghili High School, Adrar, Algeria
    • Option: Natural and Life Sciences
  2. Engineer in Computer Science (2004-2009)
    • Tahri Mohamed University, Bechar – Algiers
    • Option: Advanced Information Systems
    • End of Study Topic: Application of Ant Colony Algorithm to Classification of Satellite Images
    • Mention: Very Good
  3. Magister in Computer Science (2011-2014)
    • University of Science and Technology of Oran (USTO)-Mohamed Boudiaf
    • Option: Simulation and Artificial Intelligence
    • Subject: Contribution of a Bio-inspired Metaheuristic in Image Processing
    • Mention: Very Good
  4. Ph.D. in Computer Science (2015-2021)
    • Ferhat Abbas University Setif 1 – Setif, Algeria
    • Subject: Optimization of Localization Algorithms in Wireless Sensor Networks
    • Mention: Very Honourable
  5. HDR (Habilitation à Diriger des Recherches) (June 1, 2022)
    • Ahmed DRAIA University – Adrar, Algeria
  6. English Studies (October 2022 – Present)
    • UFC University of Adrar, Algeria

Work Experience

  1. Head of IT Unit (December 2009 – September 2015)
    • Industry and Mines Directorate – Adrar
    • Responsibilities: Payroll Service, Statistics, Projects Execution, Installation and Administration of Intranet
  2. Assistant Master (MAB) (October 2015 – September 2017)
    • Department of Computer Science, University of Adrar
  3. Assistant Lecturer (MAA) (October 2017 – April 2021)
    • Department of Computer Science, University of Adrar
  4. Lecturer Class B (May 2021 – May 2022)
    • Department of Computer Science, University of Adrar
  5. Lecturer Class A (June 2022 – Present)
    • Department of Computer Science, University of Adrar
  6. Departmental Scientific Committee Member (November 2022 – Present)
    • Department of Computer Science, University of Adrar
  7. Chairman of PhD Training Committee (CFD) (December 2022 – Present)
    • Branch of Computer Science, Option: Artificial Intelligence, Department of Computer Science, University of Adrar
  8. Head of SI Specialty (Master in Computer Science, Option of Intelligent Systems) (December 2020 – Present)
    • Department of Computer Science, University of Adrar

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