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.

 

Prof. Dr. Lun-Ping Hung | Wireless Networks Awards | Best Researcher Award

Prof. Dr. Lun-Ping Hung | Wireless Networks Awards | Best Researcher Award

Prof. Dr. Lun-Ping Hung, National Taipei University of Nursing and Health Sciences, Taiwan

Professor Lun-Ping Hung is a distinguished academic at the National Taipei University of Nursing and Health Sciences, where he has been a faculty member in the Department of Information Management since 2014. With a Doctorate in Computer Science and Information Engineering from Tamkang University, Professor Hung has made significant contributions to the fields of healthcare technology and informatics. He currently serves as the Dean of the College of Health Technology, a position he has held since August 2021. Prior to this, he directed the Division of Continuing and Extension Education at the university from 2013 to 2021 and was an Associate Professor in the same department from 2009 to 2014. His professional expertise encompasses a wide range of areas, including Internet of Things (IoT) applications in healthcare, mobile healthcare applications, wireless sensor networks, recommendation systems, medical informatics, and intelligent learning systems. Professor Hung’s dedication to advancing healthcare through technology positions him as a leading figure in the integration of information management and nursing sciences, contributing to improved patient outcomes and innovative health solutions

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Prof. Lun-Ping Hung

Research Focus and Contributions: Prof. Lun-Ping Hung is a distinguished professor in the Department of Information Management at the National Taipei University of Nursing and Health Sciences. With an extensive academic and professional background, he has made significant contributions to the fields of healthcare informatics, IoT applications in healthcare, and mobile healthcare solutions. His research encompasses critical areas such as wireless sensor networks, recommendation systems, and intelligent learning systems, which are increasingly vital in modern healthcare settings.

Education 🎓

  • Ph.D. in Computer Science and Information Engineering
    Tamkang University

Employment 🏢

  • 2014.08 – Present: Professor, Department of Information Management, National Taipei University of Nursing and Health Sciences
  • 2021.08 – Present: Dean, College of Health Technology, National Taipei University of Nursing and Health Sciences
  • 2013.08 – 2021.07: Director, Division of Continuing and Extension Education, National Taipei University of Nursing and Health Sciences
  • 2009.08 – 2014.07: Associate Professor, Department of Information Management, National Taipei University of Nursing and Health Sciences
  • 2004.08 – 2007.07: Director, Computer Center, City University of Science and Technology
  • 2004.06 – 2007.07: Director, Personnel Office, City University of Science and Technology

Professional Activities 🔍

  • Internet of Things (IoT) Applications in Healthcare
  • Mobile Healthcare Applications
  • Wireless Sensor Networks
  • Recommendation Systems
  • Medical Informatics
  • Intelligent Learning Systems

Achievements & Awards 🏆

  • Recognized for contributions to healthcare technology and innovation in academic and professional settings.
  • Multiple publications in renowned journals focusing on healthcare applications of information technology.
  • Awards for outstanding leadership and excellence in academic administration and research initiatives.

Publication Top Notes:

Applying AIoT image recognition for prognosis of wound healing in long-term care residential facility

An Intelligent Shopping-guide System Based on the AIDA Rule

Enhancing Elderly Care through a 3D Interactive Simulation System in a Day Care Center

Development of a Serious Game-Based Mechanism for Sarcopenia Training – A Case Study on Limb-Specific Exercise

Designing a Multi-Criteria Decision-Making Framework to Establish a Value Ranking System for the Quality Evaluation of Long-Term Care Services

Assessment of Vocal Characteristics Associated With Chronic Rhinosinusitis Using Machine-Learning Techniques Based on Long-Term Average Spectrum of Voice

Guest Editorial: Special Issue for TANET 2022