Li Wan | Electromagnetic Sensors | Best Researcher Award

Posted on by Global Sensor Awards

Best Researcher Award

Li Wan
Anhui Medical University, China

Li Wan
Affiliation Anhui Medical University
Country China
Scopus ID 57204732623
Documents 10
Citations 44
h-index 3
Subject Area Psychology, Psychiatry, Electromagnetic Sensors,  Neuroscience, Neuromodulation
Event Global Sensor Awards
ORCID 0000-0002-3748-9087

Li Wan is a Chinese psychologist, neuroscientist, and academic leader recognized for her contributions to brain disorders research, neuromodulation technologies, and non-invasive therapeutic interventions. As Director of the Brain Disorders and Neuromodulation Research Center at Anhui Medical University, she has led multidisciplinary investigations involving electroencephalography (EEG), functional near-infrared spectroscopy (fNIRS), brain-computer interfaces (BCI), transcranial electrical stimulation (tES), and transcranial magnetic stimulation (TMS). Her research spans schizophrenia, major depressive disorder, addiction, cognitive control, and neurorehabilitation, contributing to the development of precision psychiatry and digital biomarkers.[1]

Abstract

Li Wan’s academic career is characterized by interdisciplinary research integrating neuroscience, psychiatry, psychology, artificial intelligence, and neuromodulation technologies. Her work focuses on understanding the neural mechanisms of psychiatric disorders and developing non-invasive therapeutic interventions. Through leadership of multiple provincial and institutional research projects, she has advanced translational neuroscience applications for schizophrenia, addiction, depression, and cognitive dysfunction. Her contributions include the development of EEG-based diagnostic systems, digital biomarkers, and personalized neuromodulation strategies designed to improve clinical outcomes and mental healthcare innovation.[2]

Keywords

Neuromodulation, Psychiatry, Neuroscience, EEG, fNIRS, Brain-Computer Interface, Transcranial Magnetic Stimulation, Transcranial Electrical Stimulation, Schizophrenia, Major Depressive Disorder, Addiction Research, Artificial Intelligence, Cognitive Control, Neuroimaging, Digital Biomarkers.

Introduction

Mental and neurological disorders continue to represent significant global healthcare challenges. Advances in neuroimaging, computational neuroscience, and non-invasive brain stimulation have created new opportunities for understanding and treating these conditions. Within this evolving scientific landscape, Li Wan has established a research program dedicated to identifying neural mechanisms associated with psychiatric disorders while translating laboratory findings into clinically relevant interventions. Her investigations combine neurophysiological measurements with advanced analytical approaches to support precision mental healthcare.[3]

Research Profile

Li Wan earned her Ph.D. in Psychology from Virginia Tech and currently serves as Professor and Director of the Brain Disorders and Neuromodulation Research Center. She has participated in major projects funded by the United States Department of Health and Human Services and the United States Department of Defense. As Principal Investigator, she has led more than ten competitive research projects focused on psychiatric disorders, cognitive neuroscience, neuromodulation technologies, and AI-assisted clinical applications.[4]

  • Director, Brain Disorders and Neuromodulation Research Center.
  • Professor and Principal Investigator.
  • Master’s Supervisor at Anhui Medical University and Wannan Medical College.
  • Editorial Board Member of Brain-X, Alpha Psychiatry, and Brain Science Advances.
  • Guest Editor, Frontiers in Psychiatry.
  • Member of the World Psychiatric Association (WPA).

Research Contributions

Her research portfolio demonstrates sustained contributions toward the understanding of neural circuit dysfunction and therapeutic neuromodulation in psychiatric conditions. Several notable projects include:

  • Brain-computer interface interventions for reducing alcohol craving relapse.
  • Artificial intelligence-based analysis of adolescent stress during the COVID-19 pandemic.
  • EEG frequency modulation approaches for schizophrenia symptom improvement.
  • Neural circuit investigations of voluntary inhibition deficits.
  • Targeted electrical stimulation approaches for drug dependence treatment.
  • Novel neurofeedback systems based on transcranial direct current stimulation.

A significant technological contribution includes the development of an artificial intelligence-assisted EEG medical diagnostic support system, protected under Chinese invention patent ZL 2024 1 0077209.1, demonstrating integration of neuroscience, machine learning, and clinical diagnostics.[5]

Publications

Li Wan has authored or co-authored more than 60 scholarly publications, including over 30 papers indexed in SCI journals. Selected representative publications include:

  1. Zhang Q., Wan L., et al. (2026). fNIRS identifies right prefrontal hemodynamic signatures for subclassifying alcohol use disorder. Cognitive Neurodynamics.
  2. Wan L., Chen Y., et al. (2026). EEG-based digital biomarker for personalizing transcranial magnetic stimulation in major depressive disorder. npj Digital Medicine.
  3. Liu W., Wan L., et al. (2025). The effect of bilateral high-definition γ-tACS on negative symptoms and mismatch negativity in schizophrenia. Journal of Psychiatric Research. DOI: 10.1016/j.jpsychires.2025.05.056
  4. Wan L., Pei P., Zhang Q., Gao W. (2024). Specificity in the commonalities of inhibition control. European Psychiatry. DOI: 10.1192/j.eurpsy.2024.1785
  5. Wu H., Zhang Q., Wan L., et al. (2024). Effect of γ-tACS on prefrontal hemodynamics in bipolar disorder. Journal of Psychiatric Research. DOI: 10.1016/j.jpsychires.2024.05.015

Research Impact

The impact of Li Wan’s research extends across neuroscience, psychiatry, clinical psychology, and biomedical engineering. Her studies contribute to improved understanding of cognitive control dysfunction, emotional regulation, and neural network abnormalities associated with psychiatric disorders. By integrating neuroimaging and neuromodulation techniques, her work supports the development of evidence-based personalized treatment strategies and enhances the translation of neuroscience discoveries into clinical practice.[3]

Award Suitability

Li Wan demonstrates strong qualifications for consideration under the Best Researcher Award category. Her record includes leadership of multiple competitive research projects, substantial peer-reviewed publication output, editorial responsibilities in international journals, intellectual property development through an authorized invention patent, and professional service within national and international scientific organizations. The interdisciplinary nature of her work and its translational relevance to mental health care further support recognition of her research achievements.[4]

Conclusion

Li Wan’s scientific career reflects a commitment to advancing knowledge in neuroscience and psychiatry through innovative methodologies and translational research. Her leadership in neuromodulation research, development of AI-assisted diagnostic technologies, and extensive publication record position her among active contributors to contemporary mental health research. Continued investigation of brain disorders and personalized interventions is expected to further strengthen the clinical and scientific significance of her work.

References

  1. ORCID. (n.d.). Li Wan Research Profile.
    https://orcid.org/0000-0002-3748-9087
  2. Research Project Portfolio and Award Nomination Documentation submitted by Li Wan (2026).
  3. Wan, L., et al. Publications in psychiatry, neuroscience, and neuromodulation research (2024–2026).
  4. Professional Biography and Academic Background, Anhui Medical University.
  5. China Invention Patent No. ZL 2024 1 0077209.1. Medical diagnostic assistance system based on EEG signals and artificial intelligence classification.

Feng-Chia Chuang | Solid State Sensors | Innovative Research Award

Posted on by Global Sensor Awards

Innovative Research Award

Feng-Chia Chuang — College of Marine Mechanical and Electrical Engineering, Xiamen Ocean Vocational College, China

Feng-Chia Chuang
Affiliation Xiamen Ocean Vocational College
Country China
Scopus ID 60284618400
Subject Area Solid State Sensors
Event Global Senosr Awards

Feng-Chia Chuang is a scholar, senior flight instructor, and innovation researcher specializing in unmanned vehicle design, low-altitude economy applications, intelligent system development, and patent technology practices. His academic and engineering work focuses on unmanned aerial vehicles (UAVs), intelligent control systems, sensor integration, and innovative engineering applications. Through extensive participation in international invention competitions, academic publications, and patented technology development, Dr. Chuang has contributed to the advancement of intelligent transportation systems and low-altitude economic technologies.[1]

Abstract

This academic article presents an overview of the research achievements and scholarly contributions of Dr. Feng-Chia Chuang in the fields of unmanned aerial vehicle innovation, intelligent control systems, low-altitude economy technologies, and patent engineering applications. His research primarily focuses on UAV vertical take-off and landing systems, smart sensor integration, safety control systems, and multi-energy recovery technologies. Through SCI- and EI-indexed publications, international conference papers, and patented inventions, Dr. Chuang has demonstrated sustained contributions to engineering innovation and intelligent systems research.[2]

Keywords

Unmanned Aerial Vehicles, Smart Sensor Systems, Low-Altitude Economy, Intelligent Engineering, UAV Innovation, Intelligent Transportation Systems, Smart Energy Recovery, Patent Engineering, Autonomous Systems, Innovation Design

Introduction

The rapid development of unmanned vehicle technologies and the emerging low-altitude economy has created increasing demand for intelligent autonomous systems, smart engineering solutions, and interdisciplinary innovation. Dr. Feng-Chia Chuang has devoted his academic and engineering career to UAV design, intelligent control systems, and applied innovation research. His work integrates theoretical engineering concepts with practical technological implementation, contributing to advancements in vertical take-off UAV systems, intelligent safety devices, and energy recovery applications.[3]

Research Profile

Dr. Feng-Chia Chuang holds a doctoral degree in Electrical Engineering and possesses professional expertise in aviation training and international business management. He previously served as Assistant Professor at Dayeh University, Overseas Chinese University, and Chienkuo Technology University, and later as Associate Professor at Zhaoqing University. He currently serves as Professor at Krirk University and is affiliated with the College of Marine Mechanical and Electrical Engineering at Xiamen Ocean Vocational College.[1]

Research Contributions

Dr. Chuang has participated in and co-led several industrial SBIR and university-industry collaborative projects, including intelligent electric bicycle monitoring systems, smart braking safety devices, and CNC-based fire safety integration systems. These projects combine sensor technologies, intelligent control systems, and innovative engineering applications to improve safety and automation in transportation and industrial systems.[4]

Publications

Dr. Feng-Chia Chuang has contributed extensively to UAV technology, intelligent systems, smart energy recovery, and engineering innovation through international journal articles and conference publications. His representative studies address vertical take-off UAVs, quadrotor control systems, thermoelectric energy conversion, risk management in unmanned vehicles, and innovative smart device development within modern engineering applications.

Research Impact

Dr. Chuang’s research achievements extend beyond academic publication and include multiple patented inventions and international innovation awards. He has received gold medals at the Taiwan International Invention Exhibition, the Seoul International Invention Fair, and the Croatia International Invention Exhibition. Additionally, he has guided student teams to success in national innovation and IT development competitions in China, demonstrating his contributions to engineering education and applied technological innovation.[3]

Award Suitability

Based on his multidisciplinary contributions to UAV innovation, intelligent engineering systems, patent development, and engineering education, Dr. Feng-Chia Chuang demonstrates strong qualifications for international academic and engineering innovation awards. His integration of applied research, technological invention, and educational leadership reflects the evolving role of engineering research in addressing industrial and societal challenges.[4]

Conclusion

Dr. Feng-Chia Chuang has established a diverse and innovation-oriented academic profile through his contributions to unmanned aerial systems, intelligent engineering technologies, low-altitude economy research, and patent development. His continued involvement in scholarly publication, invention competitions, technological innovation, and engineering education supports the advancement of intelligent autonomous systems and interdisciplinary engineering research. Future developments in his work are expected to further contribute to emerging technologies in smart aviation and intelligent engineering applications.[5]

References

  1. Academic Profile Records. (2026). Professional biography and academic background of Dr. Feng-Chia Chuang.
  2. Elsevier. (n.d.). Scopus author details: Feng-Chia Chuang, Author ID 60284618400. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60284618400
  3. Chuang, F.-C., et al. (2020). Application of Water Tank Employing Smart Sensor for Thermal–Electric Energy Conversion on Vehicles. Sensors and Materials.
    https://doi.org/10.18494/SAM.2020.2676
  4. SBIR Project Archives. (2016). Intelligent safety systems and industrial innovation project documentation.
  5. IEEE Conference Proceedings. (2020). Attitude Robust Fuzzy H Control for Quadrotor Vehicles.
    https://www.ieee.org/

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

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

Posted on by Global Sensor Awards

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

PhD Graduate at urmia university, Iran

Omid Abachian Ghasemi is a dedicated researcher in the field of wireless communications, specializing in UAV-assisted and RIS/IRS-assisted wireless networks. With a strong academic foundation, including a Ph.D. in Electrical Engineering from Urmia University (2024), his work focuses on resource and power allocation strategies in wireless-powered sensor networks. He has published several high-impact articles in renowned journals such as IEEE Internet of Things Journal, IEEE Communications Letters, IEEE Access, and Computer Networks, addressing key challenges in throughput maximization and network optimization. Proficient in MATLAB, Python, and LaTeX, Omid combines analytical expertise with practical simulation skills. Fluent in Persian, English, and Turkish, he is well-equipped for international collaboration. His research reflects a deep commitment to advancing next-generation wireless communication systems, making him a strong candidate for recognition as a leading researcher in sensing and communication technologies.

Professional Profile 

🎓 Education Background of Omid Abachian Ghasemi

Omid Abachian Ghasemi has built a solid academic foundation in the field of Electrical Engineering. He earned his Bachelor’s degree in Electrical Engineering from Tabriz University in 2012, where he developed a strong grasp of core engineering principles. Continuing his academic journey, he completed a Master of Science in Electrical Engineering (Communication) at Sahand University of Technology, Tabriz, in 2015, with a focus on advanced communication systems. Most recently, he achieved a significant milestone by completing his Ph.D. in Electrical Engineering – Wireless Communication at Urmia University in 2024, where he specialized in cutting-edge topics such as UAV and RIS-assisted wireless networks. His educational trajectory reflects a consistent dedication to mastering both theoretical and applied aspects of modern communication technologies.

💼 Professional Experience of Omid Abachian Ghasemi

Omid Abachian Ghasemi has cultivated a focused and research-driven professional career in the field of wireless communications and sensor networks. His expertise lies in the design and optimization of advanced wireless systems, particularly involving UAV-assisted, RIS/IRS-enabled, and wireless-powered sensor networks. Throughout his academic journey, he has actively contributed to multiple high-impact research projects, leading to publications in prestigious IEEE journals. His hands-on experience with simulation tools like MATLAB and Python, along with his proficiency in LaTeX for technical writing, has enabled him to develop and communicate complex algorithms and network models effectively. Although primarily rooted in academia, Omid’s work demonstrates a deep understanding of practical engineering challenges, especially in resource allocation, network throughput maximization, and next-generation communication systems, making him a valuable contributor to the future of smart wireless technologies.

🔬 Research Interests of Omid Abachian Ghasemi

Omid Abachian Ghasemi’s research interests lie at the forefront of next-generation wireless communication systems, with a particular focus on UAV-assisted networks, Reconfigurable Intelligent Surfaces (RIS/IRS), and wireless-powered sensor networks. His work centers on developing advanced resource and power allocation algorithms, aiming to maximize network efficiency and throughput in energy-constrained environments. He is especially interested in exploring TDMA and FDMA techniques within RIS-assisted architectures and optimizing UAV placement for improved connectivity and coverage. By integrating aerial platforms and intelligent reflecting surfaces into wireless systems, Omid seeks to overcome traditional limitations in wireless communication, contributing significantly to the advancement of green, adaptive, and high-performance communication networks.

🏆 Awards and Honors of Omid Abachian Ghasemi

While specific awards and honors have not been listed in the available profile, Omid Abachian Ghasemi’s recent achievements reflect a high level of academic excellence and research impact. His acceptance and publication of multiple papers in top-tier IEEE journals, such as IEEE Internet of Things Journal, IEEE Communications Letters, and IEEE Access, serve as strong indicators of his scholarly recognition in the field of wireless communications. These publications, combined with his contributions to cutting-edge research on UAV and RIS-assisted networks, suggest that he is well-positioned to receive prestigious academic and research awards in the near future. His continued dedication and innovative work make him a strong contender for honors such as the Best Researcher Award in sensing and communication technologies.

📚 Publications Top Noted

1. Joint Optimization of UAV Placement and Resource Allocation in FDMA Wireless‑Powered Sensor Networks

  • Authors: Omid Abachian Ghasemi & Mehdi Chehel Amirani
  • Year: 2025 (in IEEE Access)
  • Citation: DOI 10.1109/ACCESS.2025.3574193

2. The design of an RIS‑assisted FDMA wireless sensor network for sum throughput maximization

  • Authors: Omid Abachian Ghasemi; Masoumeh Azghani; Mehdi Chehel Amirani
  • Year: October 2025 (Computer Networks)
  • Citation: DOI 10.1016/j.comnet.2025.111512

3. Resource Allocation in a RIS‑Assisted TDMA Wireless Powered Sensor Network Using UAV

  • Authors: Omid Abachian Ghasemi & Mehdi Chehel Amirani
  • Year: June 2025 (IEEE Communications Letters)
  • Citation: DOI 10.1109/LCOMM.2025.3562118

4. Resource and Power Allocation for Sum‑Throughput Maximization in RIS‑Assisted TDMA Wireless Sensor Networks

  • Authors: Omid Abachian Ghasemi; Mehdi Chehel Amirani; Masoumeh Azghani
  • Year: July 1, 2024 (IEEE Internet of Things Journal)
  • Citation: DOI 10.1109/JIOT.2024.3390199

 Conclusion

Omid Abachian Ghasemi is a strong and promising candidate for the Best Researcher Award, particularly in the fields of intelligent wireless networks and sensor technologies. His recent and focused publication track record in top-tier IEEE journals, combined with his advanced studies and technical skill set, clearly demonstrates innovation and depth.

 

Dr. Niss Skov Nielsen | Circuit Sensor | Best Researcher Award

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Dr. Niss Skov Nielsen | Circuit Sensor | Best Researcher Award

Dr. Niss Skov Nielsen, Centre for Health Research, Zealand University Hospital, Nykoebing F, Denmark

Niss Skov Nielsen is an Associate Professor at the Centre for Health Research, Zeeland University Hospital, Nykøbing F. He has an extensive background in public health, environmental health, and epidemiology, with over 30 years of experience in research, project management, and academia. He has held key positions at institutions such as the Danish National Board of Health, the National Institute of Public Health, and the Danish Building Research Institute. His expertise spans health policy, indoor climate and health, epidemiological research, and health economics. He holds a Ph.D. in Health Sciences from the University of Copenhagen and has represented Denmark in various international health and environmental policy initiatives, including WHO and EU collaborations.

Professional Profile:

GOOGLE SCHOLAR

ORCID

SCOPUS

Summary of Suitability for Best Researcher Award

Niss Skov Nielsen is a highly qualified researcher with extensive experience in public health, environmental health, and epidemiology. His career spans multiple prestigious institutions, including the National Institute of Public Health, the Danish National Board of Health, and the Danish Building Research Institute. With a Ph.D. in Health Sciences and a strong publication record in environmental health, workplace well-being, and indoor climate research, he has made significant contributions to both academic and policy-driven research. His leadership roles in national and international health initiatives further establish his suitability for the Best Researcher Award.Strengths & Qualifications:

🎓 Educational Background

  • 1991: Master of Science from the University of Copenhagen 🏛️ (Majors: Biology & Sports)
    • Thesis: Protein Kinase C Activity in Rat Muscle During Work/Growth 🐀
  • 1992: Medical Master’s Degree in Human Biology from the University of Copenhagen 🏥
  • 1998: Ph.D. from the Faculty of Health Sciences, University of Copenhagen 🎓
    • Thesis: Health and Lifestyles Among Students from Upper Secondary Education 📊
  • 2005: Diploma in Organization & Management in the Health Sector at the Southern School of Business 📈
    • Graduation Project: Decision-Making Efficiency & Cost-Effectiveness in an Inter-Organizational Network 🔄
  • 2024: Master in Environmental Assessment (Focus: Indoor Climate & Health) from Aalborg University 🌍🏠

👨‍💼 Work Experience

  • 1994-1997: Health Coordinator for Frederiksborg County’s Health Projects 🏥
  • 1998-2003: Project Manager & Researcher at the National Institute of Public Health 📊
    • Managed the Danish Health & Morbidity Survey 🩺
  • 2003-2004: Clinical Coordinator & Product Safety (Toxicology) Expert at Coloplast A/S 🧪
  • 2004-2007: Clinical Epidemiologist & Researcher at the Research Center for Prevention & Health 🏥
    • Managed 3 National Indicator Project Databases 📈
    • Led Well-being & Work Environment Study at Novo Nordisk 🏢
  • 2007-2012: Senior Consultant & Project Manager in Environmental Health at the Danish National Board of Health 🌿
  • 2013-2018: Associate Professor & Educational Manager at Metropol University College 🎓
    • Taught Scientific Methodology, Risk Assessment, Health Economics, etc. 📚
  • 2018-2024: Project Manager & Researcher at the Danish Building Research Institute (SBi/Build) 🏗️
  • 2024-Present: Associate Professor at the Centre for Health Research, Zeeland University Hospital 🏥🎓

🏆 Achievements, Awards & Honors

  • 2008-2012: Danish National Board of Health Representative in Inter-Ministerial Environmental & Health Groups 🇩🇰🌍
  • 2009-2010: Danish Representative at WHO Ministerial Conference on Environment & Health (Parma, 2010) 🌍🏥
  • 2009: Contributor to WHO International Health Assessment Questionnaire 📄
  • 2009-2012: Health Authority Representative in EU Health & Environment Projects 🇪🇺
    • Collaborated on Transnational Health Economics & Environmental Exposure Studies 📊
    • Presented Research at WHO Parma Conference (2009) 🌍🏆

Publication Top Notes:

Protein kinase C activity in rat skeletal muscle Apparent relation to body weight and muscle growth

CITED:17

Indoor air concentrations of PCB in a contaminated building estate and factors of importance for the variance

CITED:11

The impact of stress and lifestyle factors on short-term sickness absence in a large Danish industrial company

CITED:5

Patterns of Perceived Indoor Environment in Danish Homes

CITED:5

Sundhed og trivsel på arbejdspladsen: inspiration til systematisk og strategisk arbejde med sundhedsfremme i virksomheden

CITED:4

Dr. Xiangyu Xie | Wireless Sensor Awards | Best Researcher Award

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Dr. Xiangyu Xie | Wireless Sensor Awards | Best Researcher Award

Dr. Xiangyu Xie, Guiyang University, China

Dr. Xiangyu Xie is a highly skilled researcher and engineer specializing in sensor technologies and material analytics. He currently serves as a Senior Lab Master and Group Leader of Materials Engineering at Guiyang University, where he has been leading projects since October 2017. Dr. Xie is expected to complete his PhD in Materials Science and Engineering from Harbin Engineering University by December 2024. His academic journey began with a Master’s degree in Mechanical Engineering from Guizhou University (2014–2017) and a Bachelor’s degree in Mechanical Engineering from Hunan Institute of Science and Technology (2010–2014). With extensive experience in data manipulation and project management, Dr. Xie has played a pivotal role in the Detection and Localization of Threats Project and the development of Novel Sensing Networks for Intelligent Monitoring, both funded by the National Natural Science Foundation of China. His work focuses on advanced sensor systems, including the development of RFID sensors for strain and damage mapping, and his ability to handle complex projects with evolving priorities has made him a strong leader in his field.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award

Dr. Xiangyu Xie is highly suitable for the Best Researcher Award due to his extensive qualifications, project leadership experience, and innovative contributions to the field of sensor technologies and materials science. His academic background, including a Ph.D. in Materials Science and Engineering (expected in 2024), coupled with his Master’s and Bachelor’s degrees in Mechanical Engineering, demonstrates a solid foundation in engineering and materials research.

Working Experience and Education 🎓

  • Harbin Engineering University, Harbin, China
    📚 Doctor of Philosophy (PhD) in Materials Science and Engineering (Expected: December 2024)
  • Guiyang University, Guiyang, China
    🔬 Senior Lab Master, Group Leader of Materials Engineering (Oct 2017–Present)
  • Guizhou University, Guiyang, China
    🎓 Master of Science in Mechanical Engineering (Sep 2014–June 2017)
  • Hunan Institute of Science and Technology, Yueyang, China
    🎓 Bachelor of Science in Mechanical Engineering (Sep 2010–June 2014)

Project Experience 🧪

  • Detection and Localization of Threats Project (National Natural Science Foundation of China) (Mar 2023–Present)
    🔍 Led project direction, data processing, and qualitative/quantitative analyses.
  • Novel Sensing Networks for Intelligent Monitoring (National Natural Science Foundation of China) (Jun 2021–Present)
    🛠️ Planned content themes and developed novel structures for RFID sensors in strain and damage mapping.

Highlight of Qualifications 🌟

🔹 Rich internship and project experience in sensor technologies and material analytics with strong data manipulation skills.
🔹 Exceptional communication and interpersonal skills for effective collaboration and project management.
🔹 Self-motivated and capable of managing complex projects while balancing multiple priorities in demanding timelines.

Publication top Notes:

Passive wireless RFID strain sensor for directional-independent structural deformation monitoring

Influence of HCl in Photo-catalyzed Oxidation of Cyclohexane with Decatungstate or PMo12-nVn

An RFID smart structure using inkjet-printed additive manufacturing technology for metal crack characterization

High-Sensitivity RFID Tag Sensor with Coupled Ring Resonators for Multi-Position Crack Monitoring

Reliable Crack Monitoring Based on Guided Wave Through Periodically Loaded Transmission Line

Re-transmission Crack Sensor based on Re-configurable Series Ring Resonator

 

Assoc. Prof. Dr Ali Hassan Sodhro | Intelligent Sensors Award | Best Researcher Award

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Assoc. Prof. Dr Ali Hassan Sodhro | Intelligent Sensors Award | Best Researcher Award 

Assoc. Prof. Dr Ali Hassan Sodhro, Kristianstad University, SE-29188 Kristianstad, Sweden, Sweden

Ali Hassan Sodhro is an accomplished researcher with dual Swedish and Pakistani nationality, specializing in energy-efficient and battery-friendly algorithms for wireless body sensor networks, wireless sensor networks, physical layer authentication in IoT-5G, wearable devices, and smart healthcare applications. Currently a Senior Lecturer at Kristianstad University in Sweden, Ali has also served as a Postdoctoral Research Fellow in institutions across Sweden, France, and China, including Luleå University of Technology, Linköping University, and the University Lumiere Lyon 2. His research extends to cybersecurity, network security, cryptography, and domains such as AI, machine learning, and big data analytics. Holding a Ph.D. from the University of Chinese Academy of Sciences (UCAS), Ali has supervised numerous bachelor’s and master’s theses and co-supervised Ph.D. students, contributing substantially to both academic research and grant proposals. His teaching experience spans Swedish institutions like Mid Sweden University and Gothenburg University, alongside earlier academic roles at Sukkur IBA University in Pakistan. Ali is actively involved in conferences, workshop organization, and launching special journal issues, with his work published across multiple prestigious platforms.

Professional Profile:

GOOGLE SCHOLAR

Summary of Suitability for Best Researcher Award:

Ali Hassan Sodhro is a distinguished researcher with significant contributions to the fields of energy-efficient algorithms for wireless sensor networks, smart healthcare applications, and IoT-driven technologies, particularly within the domain of body sensor networks and wearable devices. With a strong interdisciplinary focus that spans AI, IoT, and cloud computing, his work aligns with many of the emerging challenges in technology and healthcare, areas critical for modern innovations and societal impact.

🎓 Education:

  • Ph.D. in Computer Applications Technology (2016)
    University: Chinese Academy of Sciences, China 🇨🇳
    Thesis: Energy-efficient Communication in Wireless Body Sensor Networks
  • M.Engg in Communication Systems and Networks (2010)
    University: Mehran University of Engineering and Technology, Pakistan 🇵🇰
    Thesis: Security Issue/Authentication and Simulation of LEAP in WSN
  • B.Engg in Telecommunication Engineering (2008)
    University: Mehran University of Engineering and Technology, Pakistan 🇵🇰
    Thesis: Wireless Sensor Networks, Simulation of Ad-Hoc Routing Protocols

💼 Professional Experience:

  • Senior Lecturer at Kristianstad University, Sweden 🇸🇪 (2021–Present)
    Teaching, research, and supervision of student projects; actively engaged in scientific publishing and grant proposal writing.
  • Postdoctoral Fellow at Luleå University of Technology, Sweden 🇸🇪 (2020)
    Contributed to supervision, teaching, and coordination of special journal issues and conferences.
  • Assistant Professor at Sukkur IBA University, Pakistan 🇵🇰 (2016–2017)
    Supervised students, taught courses, and organized academic events.

🧠 Research Focus:

Ali Hassan Sodhro is a highly skilled researcher in Energy-efficient & Battery-friendly Algorithms ⚡ for Wireless Body Sensor Networks 💡, Wearable Devices ⌚, and IoT-5G 🔗. His expertise spans AI/ML 🤖, Cybersecurity 🔒, Network Security 🛡️, Big Data Analytics 📊, and Multimedia Transmission 🎥, with an emphasis on Smart Healthcare 🏥 and Physical Layer Authentication in IoT networks.

Publication top Notes:

Artificial intelligence-driven mechanism for edge computing-based industrial applications

CITED:326

A multi-sensor data fusion enabled ensemble approach for medical data from body sensor networks

CITED:297

Mobile edge computing based QoS optimization in medical healthcare applications

CITED:208

Towards an optimal resource management for IoT based Green and sustainable smart cities

CITED:197

Quality of service optimization in an IoT-driven intelligent transportation system

CITED:173

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