Anis Chaudhary | Biological Sensors | Research Excellence Award

Posted on by Global Sensor Awards

Research Excellence Award

Anis Chaudhary
Affiliation Imam Mohammad Ibn Saud Islamic University
Country Saudi Arabia
Scopus ID 57430001700
Documents 5
Citations 128
h-index 5
Subject Area Biological Sensors
Event Global Sensor Awards
ORCID 0000-0002-1506-7836

Anis Chaudhary
Imam Mohammad Ibn Saud Islamic University

The Research Excellence Award article presents an academic overview of Anis Chaudhary, a researcher affiliated with Imam Mohammad Ibn Saud Islamic University, Saudi Arabia. His scholarly profile reflects research activities in the field of biological sensors with publications indexed in Scopus, citation impact, and international academic visibility. The information presented here summarizes publicly available scholarly indicators together with an overview of research interests, scientific contributions, and relevance to recognition within the Global Sensor Awards.[1]

Abstract

Anis Chaudhary has contributed to biological sensor research through peer-reviewed publications emphasizing analytical sensing technologies, biosensing methodologies, and interdisciplinary scientific applications. Bibliometric indicators demonstrate measurable scholarly influence, including five indexed publications, 128 citations, and an h-index of five. These metrics illustrate sustained academic engagement and provide quantitative evidence of research visibility within the international scientific community.[1]

Keywords

  • Biological Sensors
  • Biosensing
  • Sensor Technology
  • Biomedical Engineering
  • Analytical Science
  • Research Excellence Award

Introduction

Biological sensors represent an important area of interdisciplinary research by integrating biology, chemistry, electronics, and materials science to develop systems capable of detecting biochemical signals with high sensitivity and specificity. Researchers working in this field contribute to healthcare diagnostics, environmental monitoring, food safety, and industrial quality assurance. Academic recognition within this discipline considers publication quality, citation performance, innovation, and broader scientific influence.[2]

Research Profile

The research profile of Anis Chaudhary reflects scholarly activity centered on biological sensing technologies and related analytical applications. Affiliated with Imam Mohammad Ibn Saud Islamic University, the researcher has established an indexed publication record with measurable citation performance. Such bibliometric indicators provide an objective framework for evaluating scientific productivity and research influence across international databases.[1]

Research Contributions

  • Contributions to biological sensing methodologies.
  • Participation in interdisciplinary sensor research.
  • Development of scientific knowledge through peer-reviewed publications.
  • Support for biomedical and analytical sensing applications.
  • International dissemination of research findings through indexed literature.

Publications

According to the Scopus author profile, the researcher has published five indexed documents that have collectively received 128 citations. These publications contribute to the advancement of biological sensor research and demonstrate continued participation in scholarly communication.[1]

  • Indexed publications in biological sensor research.
  • Citation-supported scientific contributions.
  • Research outputs accessible through international indexing services.

Research Impact

Bibliometric measures such as citation counts and the h-index are commonly used indicators for evaluating academic influence. The available metrics indicate that the researcher’s work has attracted scholarly attention and has contributed to ongoing developments in biological sensing technologies. These indicators support evidence-based assessment of scientific productivity and research visibility.[1]

Award Suitability

Based on publicly available scholarly indicators, Anis Chaudhary demonstrates characteristics commonly evaluated for research recognition, including peer-reviewed publications, citation performance, subject specialization, and international academic visibility. These measurable achievements align with the objectives of the Global Sensor Awards in recognizing noteworthy contributions to sensor science and technology while maintaining an evidence-based assessment approach.[3]

Conclusion

This article provides a structured academic overview of Anis Chaudhary and summarizes key bibliometric information, institutional affiliation, and research specialization. The profile reflects continued engagement in biological sensor research and highlights objective scholarly indicators that are useful for academic recognition, professional evaluation, and international research visibility.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Anis Chaudhary, Author ID 57430001700. Scopus.https://www.scopus.com/authid/detail.uri?authorId=57430001700
  2. Nature Reviews Materials. (2019). Advances in biosensors and analytical sensing technologies.DOI: https://doi.org/10.1038/s41578-019-0145-6
  3. Global Sensor Awards. (n.d.). International Recognition for Excellence in Sensor Research.

Prof. Sohrab Behnia | Genosensor Award | Best Researcher Award

Posted on by Global Sensor Awards

Prof. Sohrab Behnia | Genosensor Award | Best Researcher Award 

Prof. Sohrab Behnia, Urmia University of Technology, Iran

Professor Sohrab Behnia is a distinguished physicist at Urmia University of Technology, Iran. With extensive teaching experience from 1995 to 2020, he has instructed courses in quantum mechanics, electrodynamics, statistical mechanics, and computational physics across B.Sc., M.Sc., and Ph.D. levels. His research spans nonlinear dynamical systems, quantum chaos, Bose-Mesner algebra, and open quantum systems. He has contributed significantly to projects on solvable chaotic maps, cancer cell treatment with ultrasound waves, and national security systems. An expert in MATLAB and finite element analysis, he has held key academic and administrative positions, including Director of the Physics Department. His research has garnered over 2,400 citations, with an h-index of 22 on Google Scholar.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Summary of Suitability for Best Researcher Award

Professor Sohrab Behnia is a highly accomplished physicist with extensive research contributions in quantum chaos, nonlinear dynamics, and computational physics. With an H-index of 22 on Google Scholar and 18 on Scopus, along with over 2,400 citations, his impact on the scientific community is significant. His work spans theoretical and applied physics, including secure communication, image encryption, and medical physics applications. Given his strong publication record, leadership roles, and expertise in advanced physics topics, he is a suitable candidate for the Best Researcher Award.

🎓 Education:

  • Ph.D. in Physics (Specialization in Nonlinear Dynamics & Chaos)
  • M.Sc. in Physics
  • B.Sc. in Physics

💼 Work Experience:

🔹 Professor of Physics at Urmia University of Technology
🔹 Director of Physics Department (2014–2020)
🔹 Student Affairs Vice Chancellor (2010–2013)
🔹 Assistant Professor at Urmia University of Technology (2010–2014)
🔹 Associate Professor at IAU, Urmia (2008–2010)
🔹 Assistant Professor at IAU, Urmia (2001–2008)
🔹 Research Vice-Chancellor of IAU (2003–2010)

🏆 Achievements & Research Contributions:

✔ H-index (Google Scholar): 22 with 2,440 citations
✔ H-index (Scopus): 18 with 1,512 citations
✔ Supervised multiple Ph.D. & M.Sc. theses
✔ Expertise in Quantum Chaos, Open Quantum Systems, and Bose-Mesner Algebra
✔ Skilled in Maple & MATLAB programming, Finite Element Method Analysis

🔬 Major Research Projects:

📌 Solvable Chaotic Maps with Random Dynamical Parameters (1998–2001, IPM, Iran)
📌 Cancer Cell Healing Using Concentrated Ultrasound Waves (2001–2004, Sahand University of Technology)
📌 Reconstruction of Phase Space for Nonlinear Dynamical Systems (2004–2006, IAU, Urmia)
📌 Designing a National Security & Confidentiality Protection System (2020–2022, INSF, Iran)

🏅 Awards & Honors:

🏅 Recognized for outstanding research in Nonlinear Dynamics & Chaos
🏅 Multiple high-impact publications in Physics & Quantum Mechanics
🏅 Contributions to national security projects in Iran
🏅 Long-standing teaching excellence (1995–2020) in Physics

Publication Top Notes:

A novel algorithm for image encryption based on mixture of chaotic maps

CITED:560

A fast chaotic encryption scheme based on piecewise nonlinear chaotic maps

CITED:306

A novel scheme for image encryption based on 2D piecewise chaotic maps

CITED:169

Hierarchy of chaotic maps with an invariant measure

CITED:68

Nonlinear transitions of a spherical cavitation bubble

CITED:67

Mr. Ngutor Simon Akiiga | Bioprobe | Best Researcher Award

Posted on by Global Sensor Awards

Mr. Ngutor Simon Akiiga | Bioprobe | Best Researcher Award 

Mr. Ngutor Simon Akiiga, Egypt Japan University of Science and Technology, Egypt

Ngutor Simon Akiiga is a dedicated researcher and educator specializing in microfabrication of electrochemical and optical sensing devices. He is currently pursuing an MSc in Nanoscience at the Egypt-Japan University of Science and Technology (E-JUST), where his research focuses on graphene-based printable sensors for health monitoring and room temperature sensors under the supervision of Professor Ahmed Abdelmoneim. His expertise includes 2D and 3D printable electrochemical sensors, integrated microfluidic devices, and nanomaterials for smart coatings and fuel cell applications. He has received multiple awards, including the E-JUST TICAD7 Scholarship and the African Material Research Society Award. Additionally, he has experience as a Research Assistant at E-JUST and as a Graduate Assistant at the Federal University of Agriculture, Makurdi, Nigeria. His teaching background includes roles at African Model College and Makasi School of Health Technology in Nigeria.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award

Ngutor Simon Akiiga has a strong research background in nanoscience, microfabrication, and electrochemical and optical sensing devices. His expertise in graphene-based printable sensors, microfluidic devices, and nanomaterials for energy and health applications aligns well with cutting-edge research in materials science and sensor technology.

🎓 Education

  • MSc in Nanoscience (Feb. 2023 – Present)
    Egypt-Japan University of Science and Technology, Egypt

    • Thesis: Graphene-Based Printable Sensors for Monitoring Sweat Metabolites (Glucose, Lactase) and Room Temperature Sensors
    • Advisor: Professor Ahmed Abdelmoneim

  • Postgraduate Diploma in Education (PGDE) (Apr. 2016 – 2017)
    National Teachers Institute, Bauchi State, Nigeria

    • Thesis: Primary Causes of Early Pregnancy among Youths

  • BSc in Industrial Physics (Aug. 2010 – 2014)
    Federal University of Agriculture, Makurdi, Nigeria

    • Thesis: The Effect of Organic Additives (Rice Husk and Groundnut Shell) on the Compressive Strength of Clay Bricks
    • Advisor: Professor Iorkyaa Ahemen

🏢 Work Experience

  • Research Assistant (2023 – Present)
    Egypt-Japan University of Science and Technology, Egypt

    • Graphene-Based Electrochemical Biosensors for Health and Energy Applications
    • Supervisor: Professor Ahmed Abdelmoneim
    • Key contributions:
      • Developed multi-layered graphene via liquid-phase exfoliation
      • Designed and fabricated paper-based microfluidic devices
      • Created a novel microfluidic paper using ES-1B Photoacid generator
      • Worked on 2D nanomaterials for smart coated windows and biofuel cells
      • Carried out training on 2D, 3D, and Gravure Printing

  • Graduate Assistant (2010 – 2015)
    Federal University of Agriculture, Makurdi, Nigeria

    • Molecular characterization of the light response in Alternaria alternata
    • Supervisor: Professor Ahemen Iorkyaa
    • Key contributions:
      • Synthesized rare-earth doped Na₃ₓGd₂₋ₓZr₂O₇: kEr³⁺ thermographic phosphors
      • Investigated temperature-sensing properties of phosphors
      • Used XRD, SEM, TEM, FTIR, Raman, EDS, XPS, UV-Vis for characterization
      • Supervised undergraduate students and marked exam scripts

  • Class Teacher (Physics) (Jan. 2021 – Present)
    African Model College, Ugba, Nigeria

    • Taught PHY 141 (Electricity and Magnetism) to 50 students

  • Seasonal Course Instructor (Aug. 2018 – 2020)
    Makasi School of Health Technology, Ugba, Nigeria

    • Taught Environmental Health Science

🏆 Honors & Awards

  • 📜 Certificate of Reviewing (Apr. 2024)
    • Results in Engineering, Elsevier
  • 🥇 ARUA CoE-MEN Award (Oct. 2023)
    • Winner of Team Project: Nano-Based Chip for Rapid Detection of Sepsis
  • 🏅 Biophysics in Africa Conference (Sept. 2023)
    • African Light Source and African Physical Society
  • 🎖️ Certificate of Participation (Nov. 2023)
    • African Light Source and African Physical Society
  • 🏆 Certificate of Award (June 2023)
    • Key Performance Indicators for Government Effectiveness in Africa, Egypt
  • 🎓 E-JUST TICAD7 Scholarship Award (Feb. 2023 – Present)
    • Egypt-Japan University of Science and Technology
  • 🥇 African Material Research Society Award (Aug. 2021)
    • Winner of Team Project: Theranostics Nanoformulation for TB Therapy & Monitoring
  • 📜 Digital Pedagogy Training (Apr. 2021)
    • Certificate of Participation, FUAM

Publication Top Notes:

Enhanced photoelectrochemical transient photoresponse properties of molybdenum oxide film deposited on black silicon

CITED:17

Elemental composition of dust particles and influence of dust addition on photovoltaic module performance

CITED:4

The analysis of dielectric constant, loss factor and Q-factor of selected fruits at microwave frequency range

CITED:2

Effects of Repeated Frying on Physical Properties of Cooking Oil obtained from Local Markets in Makurdi Metropolis, Benue State, Nigeria.

CITED:1

Enzyme-Free glucose detection in sweat using 2D inkjet-printed cobalt sulfide anchored on graphene in a paper-based microfluidic device

CITED:0