Alessia Maccaro | Smart Sensors | Best Researcher Award

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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

Anncharlott Kusber | Physical Sensors | Women Researcher Award

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Women Researcher Award

Anncharlott Kusber
Affiliation Technical University of Dresden – Dresden Integrated Center for Applied Physics and Photonic Materials (IAPP)
Country Germany
Scopus ID 57956893800
Documents 4
Citations 13
h-index 2
Subject Area Physics, Organic Electronics, Photonics
Event Global Sensor Awards

Anncharlott Kusber
IAPP- Dresden Integrated Center for Applied Physics and Photonic Materials, Germany

Anncharlott Kusber is a physicist and doctoral researcher at the Technical University of Dresden, Germany, specializing in organic semiconductor physics and optoelectronic device characterization. Her research focuses on understanding the physical mechanisms behind dark and noise current generation in organic photodetectors and developing strategies to improve their performance and reliability. Through experimental characterization techniques and device analysis, she contributes to advancing fundamental knowledge in organic electronics and photonic materials research. Her work is associated with the Dresden Integrated Center for Applied Physics and Photonic Materials (IAPP), where interdisciplinary collaborations aim to bridge materials science, device engineering, and applied physics research. [1]

Abstract

Research in organic photodetectors has expanded significantly due to their flexibility, low-cost fabrication, and compatibility with emerging optoelectronic technologies. Anncharlott Kusber’s research focuses on identifying and mitigating sources of dark current and noise in organic photodetectors, which remain key challenges affecting sensitivity and device stability. Through experimental characterization techniques such as external quantum efficiency measurements, impedance spectroscopy, and temperature-dependent current–voltage analysis, her work contributes to the understanding of charge transport and recombination processes in organic semiconductor devices. These investigations support the development of improved photodetection technologies for sensing, imaging, and communication applications. [2]

Keywords

  • Organic Photodetectors
  • Applied Solid State Physics
  • Organic Semiconductors
  • Photonics
  • Charge Transport Mechanisms
  • Optoelectronic Device Characterization

Introduction

Organic electronic devices represent an evolving field in modern materials science and applied physics. Organic photodetectors, in particular, offer unique advantages such as mechanical flexibility, tunable spectral response, and compatibility with large-area manufacturing techniques. However, the presence of unwanted electrical currents—specifically dark current and electronic noise—poses challenges for device sensitivity and reliability. Understanding the physical origins of these currents is critical for improving the performance of organic optoelectronic devices. Research conducted at the Technical University of Dresden and the Dresden Integrated Center for Applied Physics and Photonic Materials addresses these challenges through interdisciplinary investigation of semiconductor physics and device engineering. [3]

Research Profile

Anncharlott Kusber began her academic training in physics at the Technical University of Dresden, where she completed both her Bachelor of Science and Master of Science degrees with a focus on applied solid-state physics and photonics. Her master’s research examined the optical properties of the organic semiconductor Dimethylanthradithiophene (DMADT) using electron energy loss spectroscopy (EELS). Currently, as a doctoral researcher, she investigates dark current and noise current mechanisms in organic photodetectors. Her research integrates experimental techniques including impedance spectroscopy, external quantum efficiency measurements, and temperature-dependent electrical characterization to analyze electronic processes within organic semiconductor systems. [4]

Research Contributions

  • Investigation of dark current generation mechanisms in organic photodetectors.
  • Experimental analysis of noise current behavior in organic semiconductor devices.
  • Use of impedance spectroscopy and temperature-dependent electrical measurements to study device physics.
  • Optical and electronic characterization of organic semiconductors using EELS and spectroscopic techniques.
  • Collaborative research in applied physics and photonic materials at international research institutes.

Publications

  • Kusber, Anncharlott, et al. Advanced Functional Materials (2026): e00043.
  • Buchholtz, Stephanie A., et al. Advanced Science 12.14 (2025): 2414959.
  • Graf, Lukas, et al. Physical Review B 106.16 (2022): 165429.
  • Hubenko, Kateryna, et al. The Journal of Chemical Physics 160.14 (2024).

Research Impact

The research contributions of Anncharlott Kusber support advancements in the field of organic optoelectronics, particularly in improving the sensitivity and operational stability of organic photodetectors. Her work contributes to the broader understanding of charge transport and recombination phenomena in organic semiconductor systems. These insights are important for developing next-generation photonic devices used in imaging sensors, environmental monitoring technologies, and flexible electronic systems. By combining experimental device analysis with materials characterization techniques, her research helps address fundamental limitations in organic electronic device performance. [2]

Award Suitability

Anncharlott Kusber’s academic training, research publications, and doctoral work in applied physics and photonic materials position her as a promising early-career researcher in the field of organic electronics. Her investigations into dark current and noise current phenomena contribute to addressing key challenges in organic photodetector technology. The interdisciplinary nature of her research—combining materials science, spectroscopy, and electronic device characterization—demonstrates a strong potential for future contributions to both fundamental physics and applied optoelectronic technologies. [3]

Conclusion

The ongoing research of Anncharlott Kusber highlights the importance of understanding electronic noise and dark current processes in organic photodetectors. Through experimental analysis and collaborative research environments, her work contributes to advancing the design and optimization of organic optoelectronic devices. Continued developments in this area are expected to support emerging technologies requiring flexible, efficient, and high-sensitivity photodetection systems. Her research trajectory reflects a commitment to advancing knowledge in applied physics and photonic materials science. [4]

References

  1. Elsevier. (n.d.). Scopus author details: Anncharlott Kusber, Author ID 57956893800. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57956893800
  2. Kusber, A., et al. (2026). Advanced Functional Materials.
  3. Buchholtz, S. A., et al. (2025). Advanced Science, 12(14), 2414959.
  4. ORCID. (n.d.). ORCID record for Anncharlott Kusber.https://orcid.org/0009-0008-3216-9093

Dr. Yue Wang | Sensor development Award | Best Researcher Award

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Dr. Yue Wang | Sensor development Award | Best Researcher Award 

Dr. Yue Wang, University of Science and Technology Liaoning, China

Dr. Yue Wang is an Associate Professor at the School of Chemical Engineering at the University of Science and Technology Liaoning in China. He earned his Bachelor’s degree from the University of Science and Technology Anshan and both his Master’s and Doctorate degrees from the University of Science and Technology Liaoning and Saitama Institute of Technology, Japan, respectively. Since joining the University of Science and Technology Liaoning in 2006, Dr. Wang has focused his research on sensors and biosensors, biofuel cells, supercapacitors, energy harvesting, and artificial muscles. His work has resulted in over 60 published scientific papers, garnering approximately 600 citations, reflecting his significant contributions to the field. Dr. Wang has secured multiple research grants from various institutions, including the Education Department of Liaoning Province and the Natural Science Foundation of Liaoning Province, to advance his projects on conductive sensors, pesticide sensors, electrochemical biosensors, and wearable smart sensing technologies. Additionally, he completed a visiting scholarship at the University of Texas at Dallas in 2019-2020, further enhancing his academic and research expertise.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Yue Wang

Yue Wang is an exemplary candidate for the Best Researcher Award, primarily due to his substantial academic qualifications, extensive research contributions, and impactful work in the field of Material Science, specifically within sensor and biosensor technologies.

Education

  • Bachelor’s Degree in Material Science
    University of Science and Technology Anshan, China
    September 1998 – July 2002
  • Master’s Degree in Material Science
    University of Science and Technology Liaoning, China
    September 2003 – March 2006
  • Ph.D. in Material Science
    Saitama Institute of Technology, Japan
    April 2008 – March 2011

Work Experience

  • Associate Professor
    University of Science and Technology Liaoning, China
    April 2006 – Present
  • Visiting Scholar
    University of Texas at Dallas
    April 2019 – March 2020

Publication top Notes:

A carbon black–doped chalcopyrite–based electrochemical sensor for determination of hydrogen peroxide

Glucose oxidase, horseradish peroxidase and phenothiazine dyes-co-adsorbed carbon felt-based amperometric flow-biosensor for glucose

Crab gill–derived nanorod-like carbons as bifunctional electrochemical sensors for detection of hydrogen peroxide and glucose

Cellulose-derived hierarchical porous carbon based electrochemical sensor for simultaneous detection of catechol and hydroquinone

A triphenylamine based fluorescent probe for Zn2+ detection and its applicability in live cell imaging

1,8-naphthalimide-triphenylamine-based red-emitting fluorescence probes for the detection of hydrazine in real water samples and applications in bioimaging in vivo

Mr. Muhammad Zunnurain Hussain | Wireless Sensors Award | Best Researcher Award

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Mr. Muhammad Zunnurain Hussain | Wireless Sensors Award | Best Researcher Award 

Mr. Muhammad Zunnurain Hussain, Bahria University Lahore Campus, Pakistan

Muhammad Zunnurain Hussain, based in Lahore District, Punjab, Pakistan, is a distinguished Network & Security specialist with extensive experience spanning advisory, client development, management, and technology consulting. He holds a Doctor of Philosophy in IoT Security from Universiti Putra Malaysia, where his research focused on Cyber Security, Information Security, Data Encryption and Security, Wireless Networks, Data Communication & Networks, Digital Logic Design, and Machine Learning, achieving a commendable CGPA of 3.667. Prior to this, he completed his Master of Sciences in Computer Networking from the University of Bedfordshire, United Kingdom, and a Bachelor of Science in Telecommunication Engineering from the University of Management & Technology, Lahore, Pakistan. Currently serving as an Assistant Professor at Bahria University Lahore Campus, Muhammad oversees various computer science courses and actively contributes to curriculum development and project supervision. He also holds leadership roles as Cluster Head for ADP CS and FYP Coordinator at Bahria University, Lahore, and serves as Director at RGP Global IT, Chief Technology Officer at RedEX Gaming Studio, and as Visiting Faculty at Information Technology University and Ripah International University Lahore.

Professional Profile:

GOOGLE SCHOLAR

 

📚 Education:
  • Ph.D. in IoT Security, Universiti Putra Malaysia (2020-2024)
  • M.Sc. in Computer Networking, University of Bedfordshire, United Kingdom (2012-2014)
  • B.Sc. in Telecommunication Engineering, University of Management & Technology, Lahore, Pakistan (2006-2011)

🔬 Research Experience:

Extensive background in Cyber Security, Information Security, Data Encryption and Security, Wireless Networks, Data Communication & Networks, Digital Logic Design, and Machine Learning.

🎓 Teaching Experience:

Assistant Professor at Bahria University Lahore Campus (Jul 2019 – Present), delivering lectures on various computer science courses, supervising final year projects, and leading curriculum revision committees.

💼 Professional Experience:

  • Cluster Head – ADP CS & FYP Coordinator, Bahria University Lahore Campus (May 2023 – Present)
  • Director, RGP Global IT (Jul 2023 – Present)
  • Chief Technology Officer, RedEX Gaming Studio (Sep 2023 – Present)
  • Visiting Faculty, Information Technology University (Aug 2022 – Present)
  • Visiting Faculty Member, Ripah International University Lahore (Jan 2019 – Present)

🏆 Awards, Honors, and Grants:

  • Best Paper Award, ACM Singapore (Jul 2021)
  • Second Position, HSSC Final Exam, Garrison Science Degree College for Boys (Jul 2005)

👨‍🏫 Leadership Positions:

  • Cluster Head – ADP CS, Bahria University Lahore Campus
  • Coordinator for FYP-BSIT Programme, Bahria University Lahore Campus
  • Branch Counsellor for Google Developer Student Club

👥 Professional Memberships:

  • Senior Member, IEEE (since 2010)
  • Professional ACM membership (since 2010)
  • Student Member, ICST, British Computer Society, IAENG, IET (since 2010)

Publication top Notes:

Ultrasonically derived WSe2 nanostructure embedded MXene hybrid composites for supercapacitors and hydrogen evolution reactions

CITED: 47

NIR self-powered photodetection and gate tunable rectification behavior in 2D GeSe/MoSe2 heterojunction diode

CITED: 46

Asymmetric electrode incorporated 2D GeSe for self-biased and efficient photodetection

CITED: 42

Efficient cloud data confidentiality for DaaS

CITED: 37

Thickness-dependent monochalcogenide GeSe-based CBRAM for memory and artificial electronic synapses

CITED: 30

 

Prof. Chavis Srichan | Surface sensors | Best Researcher Award

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Prof. Chavis Srichan | Surface sensors | Best Researcher Award

Prof. Chavis Srichan ,Faculty of Engineering, Khon Kaen University ,Thailand

Dr. Chavis Srichan has a diverse academic and professional background in computer engineering and microelectronics. He received his Bachelor’s degree with First Class Honors and as a Gold Medalist from Khon Kaen University in 2002. His pursuit of advanced studies took him to Technische Universitat Hamburg, Germany, where he earned his Master’s degree in Microelectronics and Microsystems with distinction in 2006. Following this, he completed his Doctor of Engineering in Microelectronics and Embedded Systems at the Asian Institute of Technology in 2018.Dr. Srichan’s career has been marked by significant contributions to research and academia. He has held various positions, including software developer roles at MRI Laboratory, Khon Kaen University, and SIEMENS AG Munich, Germany. His research interests span printed electronics, nanoelectronics, MEMS, and embedded systems, focusing on applications such as smart home care systems and sensor development for medical diagnostics. He currently serves as a Lecturer in Computer Engineering at Khon Kaen University, where he contributes to the education of future engineers and researchers. Dr. Srichan’s work has been recognized with honors such as the Lucent Technology Scholarship, DAAD-SIEMENS scholarship, and grants from institutions like the US National Institute of Health (NIH) and Japan NICT through the ASEAN IVO Project for sensor development.

Professional Profile:

Education/Training:
  • Bachelor’s Degree (First Class Honors, Gold Medalist)
    • Institution: Khon Kaen University, Khon Kaen, Thailand
    • Completion Date: 06/2002
    • Field of Study: Computer Engineering
  • Master of Science (with Distinction)
    • Institution: Technische Universitat Hamburg, Germany
    • Completion Date: 06/2006
    • Field of Study: Microelectronics and Microsystems
  • Doctor of Engineering
    • Institution: Asian Institute of Technology
    • Completion Date: 08/2018
    • Field of Study: Microelectronics and Embedded Systems

Positions and Honors:

  • Current Position:
    • Lecturer, Computer Engineering, Khon Kaen University (since 2010)

 Experience and Training:

  • 2001: Software Developer, MRI Laboratory, Khon Kaen University, Thailand
  • 2002-2003: Teaching Assistant, Faculty of Engineering, Khon Kaen University
  • 2004: Software Developer, Taboo Search Heuristic Job Scheduling
  • 2005: Software Developer, Corporate Technology Production, SIEMENS AG Munich, Germany
  • 2008-2010: Researcher, Printed Electronics Project, Nanoelectronics and MEMS Lab, National Electronic and Computer Technology Center, Thailand

Computer Skills:

  • Python, Java, Visual C++, Labview, ANSYS, Matlab, Cadence, OpenGL, OpenCV, Tensorflow

Honors:

  • 2001-2002: Lucent Technology Scholarship
  • 2002: National Software Competition, National Electronic and Computer Technology Center, Thailand (Second Place: Facial Recognition System Using Multi-resolution Analysis and Artificial Neural Network)
  • 2004-2005: DAAD-SIEMENS Scholarship
  • 2019-2020: US National Institute of Health (NIH) Grant for Smart Home Care Connected Sensors and Mobile Application for Peritoneal Dialysis Patients
  • 2022-2024: Japan NICT funding through ASEAN IVO Project “Photonic and Electrochemical Sensors Development for Early CCA Detection”

Publication top Notes:

 

Highly-sensitive surface-enhanced Raman spectroscopy (SERS)-based chemical sensor using 3D graphene foam decorated with silver nanoparticles as SERS substrate

CITED : 108

Inkjet printing PEDOT: PSS using desktop inkjet printer

CITED : 57

Non-invasively accuracy enhanced blood glucose sensor using shallow dense neural networks with NIR monitoring and medical features

CITED : 26

Ultra-sensitive and label-free neutrophil gelatinase-associated lipocalin electrochemical sensor using gold nanoparticles decorated 3D Graphene foam towards acute kidney injury …

CITED : 21

Simple RC low pass filter circuit fabricated by unmodified desktop inkjet printer

CITED : 21

 

Smart Sensors and Sensor Fusion

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Introduction of Smart Sensors and Sensor Fusion

In the era of intelligent technology, Smart Sensors and Sensor Fusion research illuminate the path toward unprecedented data accuracy and contextual awareness. Smart sensors, embedded with microprocessors and communication capabilities, are at the forefront of capturing real-time data.

IoT-enabled Smart Sensors:

IoT-enabled smart sensors are instrumental in creating interconnected systems. These sensors, equipped with wireless connectivity, enable seamless data transmission to centralized hubs, forming the backbone of smart homes, industrial IoT, and intelligent agriculture. Research in this area focuses on enhancing energy efficiency, data security, and interoperability in diverse IoT applications.

Sensor Fusion for Autonomous Systems:

Sensor fusion techniques combine data from various sensors, such as cameras, LiDAR, and radar, to enable perception in autonomous vehicles and robots. Researchers explore algorithms that integrate this multi-modal data, enhancing object detection, localization, and decision-making. This subfield plays a pivotal role in the evolution of self-driving cars, drones, and robotic systems.

Health Monitoring with Smart Sensors:

Smart sensors in healthcare monitor vital signs, detect anomalies, and enhance patient care. These sensors, often wearable, provide continuous health data for real-time analysis. Research focuses on improving accuracy and reliability, ensuring these sensors are capable of early disease detection, personalized treatment monitoring, and empowering individuals to take charge of their health.

Environmental Sensing and Pollution Control:

Smart sensors are deployed in environmental monitoring networks to track air quality, water pollution, and other ecological factors. Sensor fusion techniques amalgamate data from diverse sources, aiding in pollution control and resource management. This research area is crucial for creating sustainable urban environments, managing natural resources, and mitigating the impact of climate change.

Human-Computer Interaction through Smart Sensors:

Smart sensors revolutionize human-computer interaction by enabling gesture recognition, facial expression analysis, and touch sensitivity. Researchers explore sensor fusion algorithms that interpret these inputs, enhancing user experiences in virtual reality, gaming, and smart devices. This subtopic drives innovations in immersive technologies, making human-machine interactions more intuitive and engaging.