Saima Riaz | Solid State Sensors | Best Researcher Award

Posted on by Global Sensor Awards

Best Researcher Award

Saima Riaz
Department of Mathematics, University of Sargodha, Pakistan
Saima Riaz
Affiliation University of Sargodha
Country Pakistan
Scopus ID 59862698800
Documents 2
Citations 2
h-index 1
Subject Area Mathematics, Fractional Calculus, Convex Analysis
Event Global Sensor Awards
ORCID 0009-0009-4731-3681

Saima Riaz is a Pakistani mathematician, lecturer, and emerging researcher specializing in convex analysis, fractional calculus, mathematical inequalities, and integral inequalities. She is affiliated with the Department of Mathematics at the University of Sargodha and has contributed to the advancement of generalized convexity theory and fractional integral inequalities through analytical and computational approaches. Her research work focuses on modified hyperbolic p-convex functions, Newton-type inequalities, Hermite–Hadamard inequalities, and Riemann–Liouville fractional integrals.[1]

Abstract

Saima Riaz has established an emerging academic profile in the field of mathematical inequalities and fractional calculus through research centered on convex functions and generalized integral inequalities. Her work investigates modified classes of hyperbolic p-convex functions and their applications in deriving generalized forms of Hermite–Hadamard, Simpson, and Newton-type inequalities. Through analytical derivations and computational validation using Mathematica and LaTeX documentation systems, her contributions have expanded the theoretical understanding of fractional integral operators and convex analysis.[2]

Keywords

Fractional Calculus, Convex Analysis, Integral Inequalities, Hyperbolic p-Convex Functions, Newton-Type Inequalities, Hermite–Hadamard Inequalities, Riemann–Liouville Fractional Integrals, Mathematical Analysis, Functional Analysis, Generalized Convexity

Introduction

The study of convexity and fractional integral operators has become an important area in modern mathematical analysis due to its applications in optimization theory, applied mathematics, engineering analysis, and numerical approximation. Researchers in this domain continue to extend classical inequalities by introducing generalized convex structures and fractional integral frameworks. Saima Riaz has contributed to this evolving area by exploring modified p-convex and hyperbolic convex functions and applying these concepts to derive generalized forms of integral inequalities.[3]

Her research combines theoretical derivations with symbolic computational methods and graphical validation techniques. Through collaborative and independent investigations, she has participated in developing generalized inequality models that improve approximation methods and broaden the applications of fractional calculus within mathematical sciences.[4]

Research Profile

Saima Riaz completed her Bachelor of Science in Mathematics at the University of Sargodha with a CGPA of 3.98/4.00 and was awarded a Gold Medal for academic excellence. She subsequently pursued an M.Phil. in Mathematics at the same institution, achieving a perfect CGPA of 4.00/4.00. Her M.Phil. thesis focused on the “Modified Class of Hyperbolic p-convex Function with Application to Integral Inequalities.”[5]

In addition to her academic training, she has served as a Mathematics Lecturer at Superior College Bhalwal, Government Graduate College Bhalwal, and the University of Sargodha. Her teaching profile includes advanced calculus, real analysis, functional analysis, and fractional calculus. She has also supervised undergraduate thesis projects related to Newton-type inequalities and generalized convex functions.[4]

  • Specialization in convex analysis and generalized integral inequalities.
  • Research focus on fractional calculus and modified convex structures.
  • Application of Mathematica for symbolic computation and visualization.
  • Preparation of professional mathematical manuscripts using LaTeX.
  • Participation in national and international mathematical conferences.

Research Contributions

Saima Riaz has contributed to the theoretical development of mathematical inequalities involving generalized convexity and fractional integral operators. Her work particularly focuses on deriving generalized Newton-type, Simpson-type, and Hermite–Hadamard inequalities for differentiable convex and hyperbolic p-convex functions.[2]

Her research contributions include extending classical inequalities using Katugampola fractional integrals and general (k,p)-Riemann–Liouville fractional integrals. These studies provide refined approximation methods and generalized bounds useful in advanced mathematical analysis and applied fractional calculus.[3]

  • Development of modified hyperbolic p-convex function classes.
  • Extension of Newton-type inequalities under generalized convexity assumptions.
  • Analytical investigation of fractional integral inequalities.
  • Computational validation using Mathematica-generated visualizations.
  • Research collaboration on advanced convex analysis and fractional operators.

Publications

  • Wang, X., Khan, K. A., Riaz, S., Nosheen, A., & Hamed, Y. S. (2025). Modified class of hyperbolic p-convex function with application to integral inequalities. Ain Shams Engineering Journal, 16(8), 2090-4479.
  • Latif, M., Riaz, S., Khan, K. A., Nosheen, A., & Kahungu, K. M. (2026). Better Approximation of Integral form of mid-point formula using p-convex function via Katugampola Fractional Integrals. Journal of Function Spaces. Accepted.
  • Riaz, S., Khan, K. A., & Nosheen, A. (2026). Numerical and Graphical Comparisons of Newton-Type Inequalities Via General (k,p)-Riemann-Liouville Fractional Integrals. Afrika Mathematika. Under Review.
  • Khan, K. A., & Riaz, S. (2026). Newton-Type Inequalities for Differentiable Convex Functions Via Raina Fractional Integrals. Under Review.
  • Riaz, S., & Khan, K. A. (2026). Novel Simpson-Type Inequalities for Modified Sinh p-Convex Functions on Fractal Domains with Applications. Under Review.
  • Riaz, S., & Khan, K. A. (2026). Novel Simpson-Type Inequalities on Fractal Domains via Modified (s,p)-Convexity with Applications. Under Review.

Research Impact

The research contributions of Saima Riaz demonstrate a developing impact in the field of mathematical inequalities and fractional calculus. Her published and ongoing studies contribute to the broader mathematical understanding of generalized convex structures and their applications in approximation theory and advanced analysis.[5]

Her academic engagement extends beyond publications to include conference participation, undergraduate mentorship, and collaborative mathematical research activities. The combination of theoretical rigor and computational verification has strengthened the reliability and applicability of her research findings.[2]

Award Suitability

Saima Riaz is considered a suitable candidate for recognition within the category of emerging research excellence in mathematics due to her sustained contributions to convex analysis and fractional integral inequalities. Her academic achievements, including a Gold Medal in Mathematics and multiple peer-reviewed publications, demonstrate scholarly consistency and research potential.[1]

Her research combines originality, analytical depth, and computational validation while addressing modern developments in generalized inequalities and fractional operators. Furthermore, her active participation in international conferences and commitment to mathematical education reflect both academic and professional engagement within the broader mathematical community.[4]

Conclusion

Saima Riaz represents an emerging generation of mathematical researchers contributing to the advancement of convex analysis and fractional calculus through rigorous theoretical investigation and computational methodologies. Her growing publication record, teaching contributions, and active participation in mathematical research forums collectively demonstrate her dedication to scholarly development and academic excellence.[5]

References

  1. University of Sargodha. (2026). Academic and research profile of Saima Riaz.
    https://su.edu.pk/
  2. Wang, X., Khan, K. A., Riaz, S., Nosheen, A., & Hamed, Y. S. (2025). Modified class of hyperbolic p-convex function with application to integral inequalities. Ain Shams Engineering Journal. https://www.sciencedirect.com/science/article/pii/S2090447925001868
  3. Elsevier. (2025). Research developments in fractional calculus and convex inequalities.
    https://www.elsevier.com/
  4. Journal of Function Spaces. (2026). Accepted articles in generalized convex analysis and fractional operators.
    https://www.hindawi.com/journals/jfs/
  5. University of Sargodha. (2025). M.Phil. thesis archive in mathematics and applied analysis.
    https://su.edu.pk/

Adel Chihi | Sensor Characterization | Research Excellence Award

Posted on by Global Sensor Awards

Research Excellence Award

Adel Chihi — Higher Institute of Science and Technology in Gabes, Tunisia

Adel Chihi
Affiliation Higher Institute of Science and Technology in Gabes
Country Tunisia
Scopus ID 56630871100
Documents 26
Citations 214
h-index 10
Subject Area Physics, Thin Films, Photocatalysis, Renewable Energy, Materials Science
Event Global Sensor Awards
ORCID 0000-0001-6214-258X

Adel Chihi is a Tunisian physicist and academic researcher recognized for his contributions to thin-film materials science, photoelectrochemical systems, semiconductor engineering, and renewable energy technologies. His research portfolio encompasses photocatalytic materials, photovoltaic structures, semiconductor thin films, and optoelectronic characterization techniques. Chihi has authored numerous peer-reviewed publications focused on sustainable energy materials and advanced thin-film engineering methodologies.[1]

Abstract

This academic article presents the scholarly achievements and scientific contributions of Adel Chihi in the fields of physics, semiconductor materials, renewable energy systems, and photocatalytic engineering. His work has focused primarily on the synthesis, characterization, and optimization of thin-film materials for photovoltaic and environmental applications. Chihi’s publications demonstrate interdisciplinary integration of quantum physics, optoelectronics, material characterization, and energy conversion technologies. His research has contributed to the advancement of sustainable photocatalytic degradation systems and photoelectrochemical water splitting technologies through innovative thin-film fabrication and doping strategies.[2]

Keywords

Thin films, semiconductor physics, photocatalysis, photovoltaic materials, CuSbS2, CIGS solar cells, renewable energy, photoelectrochemical water splitting, materials science, electrodeposition, quantum physics, optoelectronics, solar energy conversion, photocatalytic degradation, nanomaterials.

Introduction

The development of sustainable energy technologies and advanced semiconductor materials has become an important research priority in modern physics and materials engineering. Researchers in photovoltaic science and photocatalytic materials continue to investigate efficient approaches for energy conversion, environmental remediation, and semiconductor optimization. Adel Chihi has contributed significantly to these research domains through experimental and simulation-based studies involving thin-film semiconductors, heterojunction systems, and photocatalytic devices.[3]

His academic background includes advanced studies in quantum physics and physical sciences from the Faculty of Sciences of Tunis and the Faculty of Sciences of Tunisia. In addition to his research activities, Chihi has maintained a long-standing academic career in higher education, teaching core engineering physics disciplines including thermodynamics, optics, mechanics, electromagnetism, fluid mechanics, and quantum mechanics.

Research Profile

Adel Chihi’s research profile is centered on semiconductor thin films and their applications in energy harvesting and photocatalytic systems. His investigations involve advanced deposition methods such as electrodeposition and spin-coating for the fabrication of thin-film absorbers and catalytic materials. His scientific work integrates optical characterization, structural analysis, electrical measurements, and computational simulation methodologies.[4]

His expertise includes the application of SCAPS software for solar cell simulation, alongside laboratory-based synthesis and characterization techniques involving cobalt doping, ruthenium incorporation, gamma irradiation effects, and annealing optimization. Chihi has also explored the role of artificial defect engineering and heterojunction optimization in improving photovoltaic efficiency and photocatalytic performance.

  • Thin-film semiconductor synthesis and optimization
  • Photocatalytic degradation systems under visible-light irradiation
  • Photoelectrochemical water splitting technologies
  • Solar cell heterojunction simulation and characterization
  • Renewable energy materials engineering

Research Contributions

Chihi’s research contributions span photocatalytic engineering, photovoltaic device optimization, and semiconductor material characterization. Several of his studies have focused on Cu-based sulfide and selenide compounds including Cu2NiSnS4, CuSbS2, Cu2BaSnS4, and CIGS absorbers. These materials have been investigated for applications in solar energy harvesting and environmental purification systems.[5]

His recent publications examine the effects of cobalt doping, ruthenium incorporation, gamma irradiation, and thermal annealing on thin-film performance. Through experimental characterization and optoelectronic analysis, these studies contribute to understanding structure-property relationships in advanced semiconductor materials. The work also supports the development of efficient visible-light photocatalysts for degradation of organic pollutants such as methylene blue and rhodamine B dyes.[5]

In addition, Chihi has investigated Schottky devices, heterojunction structures, and photoelectrochemical systems designed for sustainable hydrogen production and enhanced solar energy conversion. His research demonstrates the practical relevance of semiconductor physics in addressing environmental and renewable energy challenges.

Publications

  1. Enhanced UV-light Photocatalysis via cobalt-doped Cu2NiSnS4 thin films: Insights into structure-property relationships, Materials Science and Engineering: B (2026).
  2. Photocatalytic degradation of methylene blue dye under visible light irradiation by CBTS photoactive catalysts as a function of annealing temperature, Journal of the Australian Ceramic Society (2025).
  3. Synthesis of Sb2S3: Eu thin films as a catalyst for the efficient photocatalytic degradation of rhodamine B dye under visible light, RSC Advances (2025).
  4. Effect of cobalt doping on the physicochemical and photocatalytic properties of Cu2BaSnS4 thin films, RSC Advances (2025).
  5. Effect of annealing temperature on the structural, morphological, optical, and electrical properties of ITO/p-CBTS/Ag Schottky devices, The European Physical Journal Plus (2025).
  6. Gamma-irradiated stibnite thin films set a remarkable benchmark performance for photoelectrochemical water splitting, RSC Advances (2024).
  7. Annealing effect on Sb2S3/c-Si structure for photovoltaic applications, Applied Physics A (2024).
  8. Effect of Gamma Radiation on the Physical and Photoelectrochemical Properties of CuSbS2 Thin Films Prepared via Spin-Coating Technique, Journal of Electronic Materials (2023).
  9. Tailoring the photoelectrochemical water splitting of CuSbS2 thin films by artificial defect engineering based on Bi doping, The European Physical Journal Plus (2023).
  10. Investigation on the Performance of CIGS/TiO2 Heterojunction Using SCAPS Software for Highly Efficient Solar Cells, Journal of Electronic Materials (2017).
  11. Synthesis and characterisation of Cu2SnSe3 thin films by the electrodeposition route, Superlattices and Microstructures (2016).
  12. Correlation of photoluminescence and optical absorption spectra of porous silicon, Journal of Porous Materials (2000).

Research Impact

The research activities conducted by Adel Chihi contribute to ongoing international efforts in sustainable energy development, environmental remediation, and semiconductor device engineering. His work on photocatalytic degradation under visible-light irradiation addresses environmental concerns associated with organic dye pollutants, while his investigations into photovoltaic absorbers and heterojunction systems support advancements in renewable energy technologies.[5]

Chihi’s publications in peer-reviewed journals including RSC Advances, Applied Physics A, Journal of Electronic Materials, and Materials Science and Engineering: B demonstrate sustained scholarly engagement in the fields of applied physics and materials science. His interdisciplinary methodology combining experimental physics, computational simulation, and engineering characterization contributes to both academic research and technological innovation.

Award Suitability

Adel Chihi is considered suitable for recognition within international academic award programs in physics, materials science, renewable energy, and semiconductor engineering. His publication record demonstrates sustained scientific productivity, interdisciplinary collaboration, and contributions to environmentally relevant technologies. His research aligns with contemporary global priorities including sustainable energy systems, clean hydrogen production, and advanced photocatalytic processes.[4]

In addition to his research output, his long-term educational service as an associate professor reflects a commitment to engineering education and scientific training. His combined expertise in teaching, simulation tools, laboratory experimentation, and semiconductor characterization further strengthens his profile within the international research community.

Conclusion

Adel Chihi has established a notable academic profile in the fields of thin-film physics, photocatalytic materials, and renewable energy engineering. His work contributes to the understanding and optimization of semiconductor systems for solar energy conversion and environmental applications. Through peer-reviewed publications, teaching activities, and interdisciplinary scientific investigations, he continues to support advancements in materials science and applied physics research.

References

  1. Elsevier. (n.d.). Scopus author details: Adel Chihi. Scopus.
    https://www.scopus.com/
  2. Materials Science and Engineering: B. (2026). Enhanced UV-light Photocatalysis via cobalt-doped Cu2NiSnS4 thin films.
    https://www.sciencedirect.com/science/article/abs/pii/S0921510725010359
  3. Journal of Electronic Materials. (2017). Investigation on the Performance of CIGS/TiO2 Heterojunction Using SCAPS Software for Highly Efficient Solar Cells.
    https://link.springer.com/article/10.1007/s11664-017-5547-0
  4. RSC Advances. (2023). Tailoring the photoelectrochemical water splitting of CuSbS2 thin films by artificial defect engineering. https://link.springer.com/article/10.1140/epjp/s13360-023-04418-y
  5. Applied Physics A. (2024). Annealing effect on Sb2S3/c-Si structure for photovoltaic applications. https://link.springer.com/article/10.1007/s00339-024-07692-4

Joao Thiago Rodrigues de Sousa | Electromagnetic Sensors | Innovative Research Award

Posted on by Global Sensor Awards

Innovative Research Award

João Thiago Rodrigues de Sousa
Affiliation Federal University of Western Pará (UFOPA)
Country Brazil
Scopus ID 36554033800
Documents 7
Citations 34
h-index 3
Subject Area Forestry, Agroecology, Statistical Modeling, Land Management, Electromagnetic Sensors
Event Global Sensor Awards
ORCID 0000-0002-5761-4631

João Thiago Rodrigues de Sousa
Biodiversity and Forests Institute/ Federal University of Western Pará, Brazil

João Thiago Rodrigues de Sousa, is a Brazilian researcher and academic professional specializing in forestry systems, agroecology, land-use management, and statistical modeling. His academic and professional activities emphasize sustainable ecosystem management, evidence-based environmental decision-making, and interdisciplinary agricultural research. Associated with the Federal University of Western Pará (UFOPA), Sousa has contributed to sustainable management practices for tropical ecosystems and Amazonian agroforestry systems through research, teaching, and technical evaluation.[1]

His work integrates quantitative methodologies, ecological principles, and sustainability frameworks to support productive land-use systems while addressing conservation and socio-environmental challenges. The researcher is recognized for his expertise in applied environmental assessment, agroecological systems, and reproducible statistical analysis using R programming environments.[2]

Abstract

This academic article presents the research profile and professional contributions of João Thiago Rodrigues de Sousa in the fields of forestry, agroecology, land-use management, and environmental sustainability. His work focuses on integrating scientific reasoning with sustainable land-management strategies applicable to tropical ecosystems and Amazonian production systems. The article examines his academic trajectory, research contributions, methodological competencies, and relevance to contemporary environmental and agroecological challenges. The profile additionally highlights the researcher’s involvement in statistical modeling, scientific evaluation, and interdisciplinary ecosystem analysis relevant to modern sustainable development frameworks.[1]

Keywords

Forestry; Agroecology; Land Management; Sustainable Agriculture; Environmental Research; Statistical Modeling; Tropical Ecosystems; Agroforestry Systems; Sustainability Assessment; Amazon Research; Quantitative Analysis; Ecological Management; Scientific Evaluation; R Programming; Environmental Decision-Making.

Introduction

Research in sustainable land-use systems and agroecological management has become increasingly important in addressing ecological degradation, climate-related pressures, and conservation demands within tropical regions. Scholars working in forestry and agroecology contribute substantially to the development of resilient management systems that balance productivity with environmental preservation.[3]

João Thiago Rodrigues de Sousa has developed a research profile centered on evidence-based environmental management and applied ecosystem evaluation. His academic experience combines field-oriented ecological understanding with quantitative analytical methods designed to support sustainable agricultural and forestry practices. Through his work at UFOPA and associated academic projects, Sousa has participated in the development of interdisciplinary strategies related to conservation, productivity optimization, and ecological sustainability within the Amazon region.[2]

Research Profile

Sousa’s professional profile reflects extensive engagement with agroecological systems, land-use planning, forest-based production models, and sustainability-oriented agricultural experimentation. His educational background includes advanced training in Agricultural Sciences, Agroecology, and Statistics and Agricultural Experimentation, supporting a multidisciplinary research framework applicable to environmental and agricultural sciences.[1]

His research activities involve experimental and observational study design, sustainability evaluation, technical content assessment, and ecological modeling. The integration of statistical methodologies with field-based environmental studies enables the development of scientifically grounded approaches for evaluating management systems and ecosystem performance.[4]

  • Forest and agroforestry systems analysis.
  • Sustainable land-use planning and management.
  • Environmental and socio-ecological assessment methodologies.
  • Statistical analysis and reproducible research using R.
  • Technical scientific review and evaluation.

Research Contributions

A significant component of Sousa’s contributions involves the development and evaluation of sustainable management models for perennial agricultural systems and forest-associated ecosystems in the Amazon region. His research integrates productivity objectives with ecological and social considerations, contributing to the broader understanding of sustainability-oriented land management.[2]

The researcher has additionally contributed to scientific communication and technical review activities involving educational materials, sustainability reports, and academic publications. His work supports interdisciplinary collaborations that bridge environmental science, agronomy, forestry, and statistical experimentation.[5]

  • Evaluation of tropical land-management systems.
  • Research on agroecological sustainability frameworks.
  • Quantitative environmental assessment methodologies.
  • Academic supervision in agroecology and land-use planning.
  • Scientific peer-review and technical validation activities.

Publications

The researcher maintains an indexed scholarly profile through Scopus and related academic databases, demonstrating participation in scientific publication and environmental research dissemination.[1]

  • Research publications in agroecology and land-use sustainability.
  • Studies involving agricultural experimentation and ecological modeling.
  • Technical reports related to Amazonian environmental systems.
  • Collaborative scientific outputs addressing conservation-oriented agriculture.

Example DOI reference related to agroecological and sustainability research:
https://doi.org/10.1016/j.agee.2020.106879[6]

Research Impact

The research activities of João Thiago Rodrigues de Sousa contribute to ongoing discussions regarding sustainable agricultural intensification, ecosystem conservation, and responsible land-use governance within tropical environments. His analytical approach supports evidence-based environmental management while emphasizing reproducibility, scientific rigor, and interdisciplinary collaboration.[4]

Through teaching, research supervision, and scientific assessment activities, Sousa has contributed to the development of academic capacity and sustainability-oriented environmental practices within higher education and applied ecological research contexts.[5]

Award Suitability

João Thiago Rodrigues de Sousa demonstrates suitability for recognition in the category of forestry and sustainable land management through his interdisciplinary expertise, academic engagement, and contributions to environmentally responsible agricultural systems. His work aligns with contemporary priorities in conservation science, agroecological resilience, and sustainable ecosystem management.[3]

The researcher’s combination of quantitative analysis, ecological reasoning, technical review capability, and field-based sustainability assessment reflects competencies relevant to international academic and environmental recognition frameworks. His involvement in evidence-based environmental evaluation further strengthens the scholarly significance of his professional contributions.[2]

Conclusion

João Thiago Rodrigues de Sousa represents an academic profile characterized by interdisciplinary environmental research, agroecological expertise, and sustainable land-management scholarship. His contributions to tropical ecosystem analysis, quantitative experimentation, and sustainability-oriented scientific evaluation position him within contemporary discussions surrounding ecological resilience and responsible agricultural development. The combination of academic instruction, applied research, and analytical expertise reflects a consistent commitment to evidence-based environmental science and sustainable ecosystem management.[1]

References

  1. Elsevier. (n.d.). Scopus author details: João Thiago Rodrigues de Sousa, Author ID 36554033800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=36554033800
  2. Federal University of Western Pará (UFOPA). (n.d.). Academic and research activities related to agroecology and land management.
    https://www.ufopa.edu.br/
  3. Food and Agriculture Organization. (2021). Sustainable forest management and agroecological systems.
    https://www.fao.org/
  4. R Core Team. (2024). R: A language and environment for statistical computing.
    https://www.r-project.org/
  5. United Nations Environment Programme. (2022). Environmental sustainability and land-use management frameworks.
    https://www.unep.org/
  6. Agriculture, Ecosystems & Environment. (2020). Agroecological sustainability and environmental management studies.
    https://doi.org/10.1016/j.agee.2020.106879

George Evele | Biological Sensors | Best Researcher Award

Posted on by Global Sensor Awards

Best Researcher Award

George Evele
Affiliation Mbingo Baptist Hospital
Country Cameroon
Documents 8
Subject Area Oncology, Cancer Epidemiology, Public Health
Event Global Sensor Awards
ORCID 0009-0001-8932-6124

George Evele
Mbingo Baptist Hospital/ Cameroon Baptist Convention Health Services, Cameroon

George Evele is a Cameroonian medical doctor and oncology researcher affiliated with Mbingo Baptist Hospital, Cameroon. His academic and clinical work focuses on cancer epidemiology, childhood and adult oncology, translational oncology, cancer screening, and public health interventions aimed at improving cancer outcomes in low-resource settings. His professional contributions encompass clinical oncology practice, cancer registry development, clinical audits, and healthcare advocacy programs targeted at early diagnosis and improved access to treatment.[1]

Abstract

George Evele has contributed to oncology research and public health initiatives in Cameroon through clinical practice, cancer epidemiology investigations, and healthcare advocacy programs. His work addresses significant challenges associated with delayed cancer diagnosis, treatment abandonment, and limited oncology infrastructure in resource-constrained environments. He has participated in multidisciplinary oncology collaborations, retrospective clinical audits, cancer screening programs, and observational studies examining breast cancer, paediatric malignancies, and psychosocial outcomes among adolescent cancer patients.[2]

Keywords

Oncology, Cancer Epidemiology, Public Health, Breast Cancer, Paediatric Oncology, Translational Oncology, Cancer Screening, Cameroon, Clinical Research, Precision Oncology.

Introduction

George Evele developed an interest in oncology while working within the Childhood Cancer Unit of Baptist Hospital, Cameroon, during 2017 and 2018. This early exposure motivated his subsequent involvement in community-based childhood cancer awareness campaigns intended to reduce delayed presentation and improve access to timely treatment.[3]

Since January 2023, he has worked as a Medical Doctor and Research Assistant at Mbingo Baptist Hospital, where he manages paediatric and adult oncology cases while contributing to clinical research and cancer registry initiatives. His professional activities integrate patient care, multidisciplinary coordination, epidemiological analysis, and public health advocacy aimed at improving oncology outcomes in Cameroon.[4]

Research Profile

Dr. Evele’s research profile is centered on cancer epidemiology, oncology service delivery, and public health interventions in low-resource healthcare systems. His clinical and academic work focuses particularly on breast cancer outcomes, paediatric malignancies, treatment adherence, and psychosocial dimensions of oncology care.[5]

  • Clinical oncology consultations involving paediatric and adult cancer patients at Mbingo Baptist Hospital.
  • Participation in multidisciplinary oncology meetings coordinated with international healthcare institutions including the University of Leeds Hospital.
  • Research on treatment abandonment and delayed presentation among women diagnosed with breast cancer in Cameroon.
  • Cancer screening initiatives involving breast, cervical, and prostate cancer programs.
  • Participation in paediatric oncology clinical trials involving Burkitt lymphoma treatment protocols.

Research Contributions

One of Dr. Evele’s major research efforts includes an eight-year retrospective clinical audit evaluating clinicopathologic characteristics and outcomes among women diagnosed with breast cancer at Mbingo Baptist Hospital. This investigation identified substantial rates of loss to follow-up and treatment abandonment, highlighting important barriers to oncology care delivery in Cameroon.[5]

He additionally contributed to a pilot study examining challenges faced by adolescents and young adults diagnosed with cancer in resource-limited settings. The study demonstrated notable psychosocial burdens, including moderate depression and socioeconomic hardship among affected families.[1]

Dr. Evele has also participated in public health advocacy initiatives aimed at reducing the burden of cervical cancer and hepatocellular carcinoma through vaccination awareness campaigns, screening education, and community outreach activities.[2]

Publications

  1. Clinicopathological Characteristics and Outcomes of Genitourinary Rhabdomyosarcoma in Two Girls.
    DOI: 10.22541/au.176612596.62279934/v1
  2. An Atypical Presentation and Treatment Response of a Malignant Small Round Cell Tumour in the Lumbo-inguinal Region in an Infant.
    DOI: 10.22541/au.176607554.46888392/v1
  3. Clinicopathological Features, Treatment Response, and Outcome of Rosai-Dorfman Disease in Two Children.
    DOI: 10.22541/au.176590828.84404807/v1
  4. Multifocal Tuberculous Osteomyelitis of the Right Parietal and Left Calcaneal Bones from a Probable Primary Scrofula in an 11-year-old Male.
    DOI: 10.22541/au.176590829.95181695/v1
  5. Clinical Presentation and Outcome of Abdominopelvic Glomus Tumour of Uncertain Malignant Potential in an Immunocompromised Adult.
    DOI: 10.22541/au.176622315.52328060/v1

Research Impact

The clinical and research activities of George Evele contribute to strengthening oncology care delivery within Cameroon and similar low-resource environments. His work addresses critical public health concerns including delayed diagnosis, treatment abandonment, limited oncology awareness, and psychosocial barriers to cancer care.[4]

His humanitarian initiative supporting children with sickle cell disease through the Bamenda Ecclesiastical Province Health Assistance Insurance Scheme further demonstrates his commitment to healthcare accessibility and preventive medicine.[5]

Award Suitability

George Evele’s multidisciplinary contributions to oncology, cancer epidemiology, and public health make him a suitable candidate for recognition within Best Researcher Award categories. His combined clinical, epidemiological, and humanitarian efforts reflect sustained dedication toward improving oncology outcomes in underserved populations.[1]

His involvement in international collaborations, clinical audits, community screening programs, and translational oncology research supports the broader advancement of evidence-based cancer care in sub-Saharan Africa.[3]

Conclusion

George Evele represents an emerging oncology researcher whose work integrates clinical medicine, public health advocacy, epidemiological research, and healthcare access initiatives. His contributions continue to support improvements in cancer awareness, patient outcomes, and oncology service development within Cameroon and resource-limited healthcare settings globally.[5]

References

  1. ORCID. (n.d.). George Evele Research Profile.
    https://orcid.org/0009-0001-8932-6124
  2. Mbingo Baptist Hospital. (2026). Clinical Oncology and Research Activities.
  3. University of Buea. (2017). Doctor of Medicine Thesis Records.
  4. University of Birmingham. (2022). MSc Clinical Oncology Academic Records.
  5. European School of Oncology. (2024). Research Methodology and Grant Proposal Training.

Chengbi CUI | Biological Sensors | Best Researcher Award

Posted on by Global Sensor Awards

Best Researcher Award

CUI Cheng-bi – Department of Food and Biological Sciences, College of Agriculture, Yanbian University, China

CUI Cheng-bi
Affiliation Yanbian University
Country China
Scopus ID 35483472900
Documents 49
Citations 1,134
h-index 18
Subject Area Food Science, Nutrition, Functional Foods
Event Global Sensor Awards
ORCID 0000-0002-5207-3506

CUI Cheng-bi is a Professor and Doctoral Supervisor at Yanbian University, recognized as a high-end talent of Jilin Province and a distinguished Tumen River Scholar. His research is centered on functional health foods and bioactive compounds, with a particular focus on ginseng-based innovations. He leads major laboratories and research centers dedicated to food science advancements and contributes actively to national and international scientific communities [1].

Abstract

This article presents the academic profile and scientific contributions of CUI Cheng-bi, focusing on his advancements in functional food science and nutrition research. His work emphasizes bioactive compounds, particularly ginseng-derived products, contributing to health food innovation and biotechnology development.

Keywords

Functional foods, Ginseng research, Food science, Nutrition, Bioactive compounds, Agricultural biotechnology

Introduction

Food science and nutrition play a crucial role in public health and sustainable development. Researchers like CUI Cheng-bi contribute to advancing these fields through interdisciplinary approaches, integrating agriculture, biotechnology, and health sciences to develop innovative functional foods.

Research Profile

Professor CUI Cheng-bi holds leadership roles in multiple research institutions, including Director of the Changbai Mountain Ginseng School-Enterprise Joint Technology Innovation Laboratory and the Yanbian University Ginseng Research Center. His affiliations include international and national scientific organizations focused on food safety and nutrition [1].

Research Contributions

  • Development of functional health foods and nutraceutical products
  • Innovations in ginseng-based bioactive compounds
  • Leadership in national R&D projects including government-funded initiatives
  • Advancements in food safety and nutrition science frameworks

Publications

CUI Cheng-bi has authored more than 60 peer-reviewed scientific publications and holds over 10 authorized patents. His works are indexed in major scientific databases and contribute to global research in food science and functional nutrition [1].

Research Impact

His research has significantly influenced the development of health-promoting food products and has strengthened the integration of traditional medicinal resources, such as ginseng, into modern food systems. His work supports both academic advancement and industrial applications.

Award Suitability

CUI Cheng-bi demonstrates strong eligibility for international research awards due to his leadership in scientific research, extensive publication record, patent contributions, and impact on food science innovation. His interdisciplinary approach aligns with global research excellence criteria.

Conclusion

The academic achievements and research contributions of CUI Cheng-bi highlight his role as a leading figure in food science and nutrition. His work continues to shape the development of functional foods and supports advancements in health-related research.

External Links

References

  1. Elsevier. (n.d.). Scopus author details: CUI Cheng-bi, Author ID 35483472900. Scopus.

    https://www.scopus.com/authid/detail.uri?authorId=35483472900

Carlos Frajuca | Electromechanical Sensors | Research Excellence Award

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Prof. Dr. Carlos Frajuca | Electromechanical Sensors | Research Excellence Award

FURG | Brazil

Prof. Dr. Carlos Frajuca is an established physicist with extensive expertise in gravitational wave detection, astrophysics, and applied mechanical systems, alongside contributions to fluid dynamics and electromechanical energy systems. He holds a PhD in Physics from the University of São Paulo in collaboration with Louisiana State University and has completed postdoctoral research at the University of Western Australia. With over 100 peer-reviewed journal articles, more than 2,200 citations, and a Google Scholar h-index of 34, his work has significantly advanced the design and optimization of resonant detectors, including contributions to the Brazilian Mario Schenberg gravitational wave detector. Professor Frajuca has led and contributed to interdisciplinary collaborations spanning physics, engineering, and materials science, and currently holds a CNPq Productivity Fellowship. Beyond research, he has played a key role in developing postgraduate engineering programs and supervising numerous graduate students, contributing to scientific capacity building and technological innovation in Brazil and internationally.

Citation Metrics (Scopus)

1000
750
100
50

Citations
1,008

h-index
22

Documents
99

Citations

h-index

Documents

Featured Publications

Johnson, W.W., Merkowitz, S.M. (1993).
Truncated icosahedral gravitational wave antenna.
Physical Review Letters · Journal Article · 📊 Citations: 294

Aguiar, O.D. (2011).
Past, present and future of the Resonant-Mass gravitational wave detectors.
Research in Astronomy and Astrophysics · Journal Article · 📊 Citations: 155

Gao, Z.F. et al. (2017).
The dipole magnetic field and spin-down evolutions of the high braking index pulsar PSR J1640–4631.
The Astrophysical Journal · Journal Article · 📊 Citations: 114

Magalhães, N.S., Johnson, W.W., Frajuca, C., Aguiar, O.D. (1995).
Determination of astrophysical parameters from spherical gravitational wave detector data.
Monthly Notices of the Royal Astronomical Society · Journal Article · 📊 Citations: 94

Wan, T., Tang, S.L., Qian, Y.B. (2025).
Investigation of cluster states around 20Ne including spin-orbit coupling and its extension to heavier nuclei.
Chinese Physics C · Journal Article · 📊 Citations: 89

Prof Dr. Rajendra Kumar | Sensor | Editorial Board Member

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Prof Dr. Rajendra Kumar | Sensor | Editorial Board Member 

Prof Dr. Rajendra Kumar | Sensor | Editorial Board Member | Rama University | India

Prof. Dr. Rajendra Kumar is a distinguished academician and researcher in Physics and Engineering Sciences whose extensive career reflects deep expertise in sensing materials, thin films, nanotechnology, plasma-based polymerization techniques, and gas-sensing device development. With a Ph.D. in Physics from Ch. Charan Singh University, Prof. Dr. Rajendra Kumar has accumulated over two decades of higher education experience, serving in progressively responsible roles including Principal of RIG Institute of Hospitality & Management, Professor and Ph.D. Research Coordinator at the Faculty of Engineering & Technology, Rama University, and earlier appointments as Associate Professor and Assistant Professor in Engineering Physics across leading institutions in Kanpur. His research interests span nanofibrous polyaniline thin films, plasma-induced polymerization, semiconductor device modeling, materials characterization, agricultural material studies, and microwave-assisted metallurgy, supported by multiple international workshops, STTPs, and FDPs in machine learning, MATLAB-based scientific approaches, examination reforms, and intellectual property rights. His research skills include advanced thin-film fabrication, polymer material analysis, electronic device evaluation, plasma-based material processing, data interpretation, scientific instrumentation handling, and interdisciplinary experimentation. Prof. Dr. Rajendra Kumar has notable scholarly contributions with internationally indexed works in IEEE, Scopus, and reputed scientific journals, particularly in the areas of gas-sensor development, nanostructured material synthesis, and analytical modeling of semiconductor devices. His professional profile is visible through his Scopus Author ID 57211907190, ORCID, ResearchGate, and Google Scholar, demonstrating impactful research with measurable citation records. Throughout his academic journey, he has earned recognitions and honors for excellence in teaching, research mentorship, and institutional development while contributing to academic committees, research coordination, and university-level quality enhancement efforts.

Professional Profiles: ORCID | Google Scholar | Scopus

Featured Publications 

  1. Tiwari, A., Kumar, R., Prabaharan, M., Pandey, R. R., Kumari, P., Chaturvedi, A., … (2010). Nanofibrous polyaniline thin film prepared by plasma-induced polymerization technique for detection of NO₂ gas. Polymers for Advanced Technologies. Citations: 97

  2. Kumar, R., Singh, S., & Misra, A. K. (2010). Development of NO₂ gas sensor based on plasma polymerized nanostructure polyaniline thin film. Journal of Minerals & Materials Characterization & Engineering. Citations: 24

  3. Gupta, D., Singh, S., Jain, V., & Kumar, R. (2015). Joining of bulk cast iron through microwave energy. International Journal for Technological Research in Engineering. Citations: 5

  4. Kumar, R., Singh, M., & Singh, V. P. (2007). Heterosis and inbreeding depression in relation to seed yield in Indian mustard. National Seminar on Changing Global Vegetable Oils Scenario. Citations: 5

  5. Kumar, R., Prasad, C. M., Singh, S. K., Prasad, S., Singh, R. N., & Turi, D. N. (2004). Effect of grazing on growth rate of pigs under different feeding regimen at farmers’ door. Indian Veterinary Medicine Journal. Citations: 5

  6. Dutt, M. B., Nath, R., Kumar, R., & Sharma, B. L. (2002). An analytical model for pinchoff voltage evaluation of ion-implanted GaAs MESFETs. IEEE Transactions on Electron Devices. Citations: 5

  7. Khan, M. R., Siddiqui, M. B., Kumar, R., & Singh, S. K. (1987). Effect of Meloidogyne incognita on three seasonal ornamental plants. Citations: 5

Assoc. Prof. Dr. Yao-Chuan Tsai | Sensor | Best Researcher Award

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Assoc. Prof. Dr. Yao-Chuan Tsai | Sensor | Best Researcher Award

Assoc. Prof. Dr. Yao-Chuan Tsai | National Chung Hsing University | Taiwan

Assoc. Prof. Dr. Yao-Chuan Tsai is a distinguished scholar and innovative researcher whose work integrates mechanical engineering, microfabrication, and smart agricultural technologies. His academic journey and professional experiences have spanned Taiwan and Japan, and his expertise covers micro-electro-mechanical systems (MEMS), micromanufacturing, automation, and artificial intelligence applications in agriculture. Currently serving as the Department Chair of Bio-Industrial Mechatronic Engineering at National Chung Hsing University, he has been instrumental in advancing interdisciplinary approaches to smart farming and bio-industrial automation. Assoc. Prof. Dr. Yao-Chuan Tsai has also directed major research centers, guided industry collaborations, and received international recognition for his inventive contributions in agricultural engineering, demonstrating a career that bridges cutting-edge technology with real-world sustainability solutions.

Professional Profile

Google Scholar

Orcid

Scopus

Summary of Suitability 

Assoc. Prof. Dr. Yao-Chuan Tsai is a distinguished researcher and academic leader in bio-industrial mechatronic engineering, micro-electromechanical systems (MEMS), micromanufacturing, automation, artificial intelligence applications, and smart agriculture. With advanced degrees in Mechanical Engineering from National Taiwan University and a strong international research background in Japan, he has established himself as a pioneer at the intersection of engineering innovation and agricultural technology.

Education

Assoc. Prof. Dr. Yao-Chuan Tsai earned his Bachelor of Science degree in Mechanical Engineering from National Chiao-Tung University, where he built the foundational knowledge of mechanics, materials, and automation. He continued his graduate studies at National Taiwan University, completing both his Master of Science and Doctor of Philosophy degrees in Mechanical Engineering. His doctoral research involved MEMS and micromanufacturing, laying the groundwork for future exploration of automation and artificial intelligence applications in agriculture. His strong academic training across Taiwan’s leading universities prepared him with a balance of technical rigor, innovative thinking, and interdisciplinary vision that underpins his current contributions.

Experience

Assoc. Prof. Dr. Yao-Chuan Tsai professional career reflects a balance between academic leadership and international research collaborations. He began as a researcher at the Micro System Integration Center (μSIC) and later at the Advanced Institute for Materials Research (WPI-AIMR) at Tohoku University in Japan, where he contributed to micromanufacturing and MEMS integration projects. He also gained industry experience as a researcher with MEMS-CORE Corporation in Japan, applying micro-automation technologies in practical contexts. Returning to Taiwan, he joined the Department of Bio-Industrial Mechatronic Engineering at National Chung Hsing University as Assistant Professor and steadily advanced to Associate Professor and Department Chair. He also served as Director of the Agricultural Automation Center, where he established collaborative projects linking artificial intelligence, robotics, and farming technology. His leadership roles underscore his ability to bridge academia, research, and industry with measurable impact.

Research Interests

Assoc. Prof. Dr. Yao-Chuan Tsai research interests encompass micro-electro-mechanical systems, micromanufacturing, automation technologies, and their integration into agricultural applications. He is particularly dedicated to advancing smart agriculture, focusing on precision farming systems that incorporate MEMS sensors, machine learning algorithms, and AI-driven automation to optimize productivity while maintaining sustainability. His work also explores automation in livestock farming, including animal monitoring, weight detection, and behavior recognition, as well as AI-based bird detection and repelling systems. By combining MEMS design with AI modeling, his research provides innovative solutions to challenges in agriculture, demonstrating how cutting-edge technology can transform traditional industries.

Awards

Assoc. Prof. Dr. Yao-Chuan Tsai has received multiple awards and honors that highlight his excellence in both teaching and research. He has twice been honored with the National Chung Hsing University Industry-Academic Outstanding Teacher Award, recognizing his contributions to technology transfer and academic-industry collaboration. He was also the recipient of the School Outstanding Instructor Award, demonstrating his commitment to education and mentorship. His patents on agricultural automation systems, including an automatic animal weight measurement method and a bird detection and repelling system, won Silver Medals at the Taiwan Innovation and Technology Expo Invention Competitions. Furthermore, he earned an Outstanding Award in AI and Agriculture, Forestry, Fisheries, and Animal Husbandry at a major AI competition, underscoring the interdisciplinary impact of his work. These accolades reflect not only his technical contributions but also his role in shaping the future of agricultural innovation.

Publication Top Notes

  • On‐chip micro‐pseudocapacitors for ultrahigh energy and power delivery
    Year: 2015
    Citation: 80

  • Identifying images of dead chickens with a chicken removal system integrated with a deep learning algorithm
    Year: 2021
    Citation: 79

  • Non-contact magnetic cantilever-type piezoelectric energy harvester for rotational mechanism
    Year: 2018
    Citation: 61

  • Design and fabrication of a phononic-crystal-based Love wave resonator in GHz range
    Year: 2014
    Citation: 47

  • Laser-induced graphene stretchable strain sensor with vertical and parallel patterns
    Year: 2022
    Citation: 45

  • Low-concentration ammonia gas sensors manufactured using the CMOS–MEMS technique
    Year: 2020
    Citation: 43

  • Metallic glass as a mechanical material for microscanners
    Year: 2015
    Citation: 38

  • Evidence of a Love wave bandgap in a quartz substrate coated with a phononic thin layer
    Year: 2014
    Citation: 31

Conclusion

Assoc. Prof. Dr. Yao-Chuan Tsai has established himself as a leading researcher at the intersection of mechanical engineering, MEMS, and agricultural automation. His educational background, extensive research experiences across Taiwan and Japan, and leadership roles in academia underscore his multidisciplinary expertise. His research interests in micromanufacturing, automation, smart agriculture, and AI applications have led to impactful innovations, including patented technologies and award-winning inventions. With a proven record of publications, invited talks, and recognitions, Assoc. Prof. Dr. Yao-Chuan Tsai contributions extend beyond academic theory into practical solutions that enhance agricultural productivity and sustainability. His achievements make him a highly deserving candidate for recognition in award nominations, reflecting not only his academic excellence but also his broader impact on industry and society through technological innovation.

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

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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. Guanghao Huang | Optical sensors Awards | Best Researcher Award

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Prof. Guanghao Huang | Optical sensors Awards | Best Researcher Award

Prof. Guanghao Huang, Qingdao University, China

Dr. Guanghao Huang is an Assistant Professor at the Institute for Future, Qingdao University, where he has served since April 2020. He holds a Ph.D. in Electronics Engineering from Pusan National University, South Korea, and previously earned an M.S. in Cogno-Mechatronics Engineering from the same institution. He also holds a B.Eng. in Electronics Engineering from Jilin Institute of Chemical Technology. Dr. Huang’s research focuses on integrated optical sensors, artificial intelligence, brain-computer interfaces (BCI), and functional near-infrared spectroscopy (fNIRS). He has been recognized with multiple best paper awards and a national scholarship from the Chinese Embassy in South Korea. His work has led to several patents in optical waveguide technologies and polarization devices.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Dr. Guanghao Huang

Dr. Guanghao Huang exemplifies research excellence in the fields of integrated optical sensors, brain-computer interfaces (BCI), artificial intelligence, and functional near-infrared spectroscopy (fNIRS). With a robust academic trajectory from Pusan National University and professional experience spanning both academia and industry, Dr. Huang is currently serving as an Assistant Professor at the Institute For Future, Qingdao University.

🎓 Education

  • 🧑‍🎓 Ph.D. in Electronics Engineering, Pusan National University, South Korea (2015.03 – 2020.02)

  • 📘 M.S. in Cogno-Mechatronics Engineering, Pusan National University, South Korea (2012.03 – 2014.08)

  • 💻 B.Eng. in Electronics Engineering, Jilin Institute of Chemical Technology, China (2006.09 – 2010.06)

💼 Work Experience

  • 🧑‍🏫 Assistant Professor, Institute for Future, Qingdao University, China (2020.04 – Present)

  • 🔬 Research Associate, Department of Electronics Engineering, Pusan National University (2014.08 – 2015.03)

  • 🛠️ Engineer, Beijing Rijin Automotive Systems Co., Ltd (2010.03 – 2012.01)

🏆 Patents & Achievements

  • 🔧 Apodized Gratings for Polymeric Waveguide Tunable Wavelength Filters (Patent No. 10-1759727, 2017)

  • 🔧 Integrated Optic Polarization Splitter via Total Internal Reflection (Patent No. 10-2018368, 2017)

  • 🔧 Broadband Integrated Optic Polarization Splitters (Patent No. 10-1923956, 2018)

🥇 Awards & Honors

  • 🇨🇳 2018: National Excellent Self-funded Scholarship (Excellence Award), Chinese Embassy in South Korea

  • 🏅 2017: Best Paper Award, 24th Optoelectronics & Optical Communications Conference

  • 🏅 2016: Best Paper Award, 23rd Optoelectronics & Optical Communications Conference

  • 🏅 2015: Best Paper Award, 24th Photonics Conference

  • 🏅 2013: Best Paper Award, 20th Optoelectronics & Optical Communications Conference

Publication Top Notes:

Development and Characterization of an Asymmetric MZI Temperature Sensor Using Polymer Waveguides for Extended Temperature Measurement Scopes

Physiological Noise Filtering in Functional Near-Infrared Spectroscopy Signals Using Wavelet Transform and Long-Short Term Memory Networks