Alessia Maccaro | Smart Sensors | Best Researcher Award

Posted on by Global Sensor Awards

Best Researcher Award

Researcher Information
Affiliation University of Naples Federico II
Country Italy
Scopus ID 57216878584
Documents 33
Citations 444
h-index 12
Subject Area Smart Sensors
Event Global Sensor Awards
ORCID 0000-0001-9338-9884

Alessia Maccaro

University of Naples Federico II

The Best Researcher Award recognizes sustained scientific excellence demonstrated through peer-reviewed publications, measurable research impact, interdisciplinary collaboration, and meaningful contributions to advancing knowledge. Alessia Maccaro has developed an academic profile within the field of Smart Sensors, contributing to research associated with sensing technologies, intelligent monitoring systems, and emerging digital applications. Her scholarly record, publication performance, and bibliometric indicators provide an objective basis for evaluation within the Global Sensor Awards.[1]

Abstract

This article presents an academic overview of Alessia Maccaro’s research profile in relation to the Best Researcher Award presented by the Global Sensor Awards. The assessment is based on objective scholarly indicators including publication productivity, citation performance, h-index, institutional affiliation, and contributions to Smart Sensors research. The article follows a neutral academic style consistent with Wikipedia-inspired scientific documentation while emphasizing transparent research evaluation through recognized bibliometric measures.[1]

Keywords

  • Best Researcher Award
  • Smart Sensors
  • Sensor Technology
  • Scientific Publications
  • Research Evaluation
  • Bibliometric Analysis

Introduction

Smart sensor technologies have become fundamental to modern engineering, healthcare, industrial automation, environmental monitoring, and intelligent digital infrastructure. These systems combine sensing components with embedded processing and communication capabilities, enabling real-time data acquisition and intelligent decision-making. Researchers in this multidisciplinary field contribute to scientific advancement through innovation, experimental validation, and interdisciplinary collaboration, making the field an important area for academic recognition.[2]

Research Profile

Alessia Maccaro is affiliated with the University of Naples Federico II, Italy. According to the available Scopus profile, the researcher has authored 33 indexed publications, received 444 citations, and achieved an h-index of 12. These bibliometric indicators demonstrate sustained scholarly productivity and measurable scientific visibility within the international research community.[1]

Research Contributions

The research portfolio reflects continued contributions to Smart Sensors and associated technological domains. Research activities contribute to the advancement of intelligent sensing systems, monitoring technologies, signal processing methodologies, and innovative digital solutions that support practical scientific and engineering applications. Publications disseminated through peer-reviewed journals facilitate scholarly discussion and encourage interdisciplinary collaboration.[1][2]

  • Research in smart sensing technologies.
  • Scientific publications in peer-reviewed journals.
  • Interdisciplinary collaboration in sensor-enabled systems.
  • Contribution to innovation in intelligent monitoring technologies.

Publications

The indexed publication record includes thirty-three scholarly documents covering Smart Sensors and related scientific disciplines. Peer-reviewed publications provide evidence of sustained research engagement while supporting international knowledge dissemination through scientific communication and citation by subsequent research.[1]

Example DOI reference relevant to smart sensor research: https://doi.org/10.1109/JSEN.2021.3056789 [3]

Research Impact

Bibliometric indicators provide quantitative evidence of scholarly influence. Alessia Maccaro’s citation count of 444 and h-index of 12 indicate that multiple publications have achieved recognition within the scientific literature. While research quality extends beyond numerical metrics, these indicators remain widely accepted tools for assessing scientific visibility and sustained academic contribution.[1]

Award Suitability

The available academic profile demonstrates characteristics frequently considered during international research award evaluations, including sustained publication productivity, measurable citation impact, interdisciplinary engagement, and contributions to Smart Sensors research. These objective indicators align with the principles of transparent academic assessment employed by the Global Sensor Awards in recognizing scientific achievement.[1][2]

Conclusion

Alessia Maccaro’s academic profile demonstrates sustained participation in Smart Sensors research through peer-reviewed publications, measurable citation performance, and interdisciplinary scientific engagement. The available bibliometric evidence provides an objective foundation for consideration within the Best Researcher Award while highlighting continued contributions to sensor technologies and their broader scientific applications.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Alessia Maccaro, Author ID 57216878584. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57216878584
  2. IEEE Sensors Journal. General literature concerning smart sensor technologies, intelligent sensing systems, embedded monitoring, and interdisciplinary sensor applications.
    https://ieeexplore.ieee.org/
  3. Digital Object Identifier Foundation. Example DOI citation illustrating reference formatting for smart sensor research.
    https://doi.org/10.1109/JSEN.2021.3056789

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

Posted on by Global Sensor Awards

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.