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/

Mohammad Rezaul Re Karim | Solid State Sensors | Innovative Research Award

Posted on by Global Sensor Awards

Innovative Research Award

Mohammad Rezaul Karim
Affiliation King Saud University
Country Saudi Arabia
Scopus ID 56820318000
Documents 215 Publications
Citations 6,411 (WoS)
8,221 (Google Scholar)
h-index 42 (WoS)
48 (Google Scholar)
Subject Area Solid State Sensors
Event Global Sensor Awards

Mohammad Rezaul Karim
King Saud University, Saudi Arabia

Mohammad Rezaul Karim, is a distinguished academic researcher and Professor at the Center of Excellence for Research in Engineering Materials (CEREM), King Saud University, Riyadh, Saudi Arabia. His scholarly work spans nanotechnology, electrospinning nanofiber membranes, renewable energy systems, supercapacitors, advanced nanocomposites, water treatment technologies, and biomedical materials engineering. Over the course of his academic career, Professor Karim has established a globally recognized research profile through interdisciplinary scientific innovation, international collaborations, high-impact publications, and technology-oriented material development.[1]

He has contributed extensively to the fields of nanomaterials synthesis, polymer engineering, graphene-based technologies, solar cells, energy storage systems, and advanced membrane fabrication. His research output includes more than 215 scientific publications, multiple patents, book chapters, graduate supervision, and participation in globally collaborative research initiatives involving institutions across Saudi Arabia, South Korea, Australia, Japan, Canada, Malaysia, and the United Kingdom.[2]

Abstract

Professor Mohammad Rezaul Karim is internationally recognized for his multidisciplinary research contributions in nanotechnology, advanced engineering materials, renewable energy applications, electrochemical energy storage systems, and environmental remediation technologies. His academic work integrates chemistry, materials science, nanofabrication, and engineering innovation to address emerging challenges associated with sustainability, clean energy, healthcare materials, and industrial nanotechnology applications. His investigations into electrospun nanofibrous membranes, conductive polymers, graphene-based composites, quantum dots, supercapacitors, and advanced solar cell systems have generated substantial scholarly impact and technological relevance.[3]

The researcher has received multiple prestigious recognitions, including the King Saud University Award for Scientific Excellence and inclusion among the world’s top 2% scientists. His publication portfolio reflects sustained academic productivity in high-ranking international journals, while his collaborative research projects demonstrate strong engagement with global scientific communities and innovation-oriented research ecosystems.[4]

Keywords

Nanotechnology; Electrospinning; Nanofiber Membranes; Renewable Energy; Supercapacitors; Graphene; Quantum Dots; Conducting Polymers; Water Treatment; Energy Storage; Solar Cells; Nanocomposites; Electrochemical Engineering; Biomedical Materials; Sustainable Materials Science; Thin Film Solar Cells; Advanced Composites; Membrane Distillation; Sensors; Hydrogen Generation.

Introduction

Mohammad Rezaul Karim completed his PhD in Physical Chemistry from Kyungpook National University, South Korea, where he specialized in electrically conducting polymer nanomaterials and property modification techniques. Prior to his doctoral studies, he completed both his B.Sc. (Honors) and M.Sc. in Applied Chemistry and Chemical Technology from the University of Dhaka, Bangladesh.[5]

Following his doctoral training, he served as a postdoctoral researcher in South Korea before joining King Saud University in 2009. Over the years, he progressed through academic ranks from Assistant Professor to Associate Professor and subsequently to Full Professor at CEREM. His academic responsibilities have included graduate teaching, research supervision, collaborative project leadership, and international research coordination.[6]

His career demonstrates strong interdisciplinary integration between chemistry, nanotechnology, engineering materials, and sustainable energy applications. The breadth of his research reflects both scientific depth and translational potential across industrial, biomedical, and environmental sectors.[7]

Research Profile

Professor Karim’s research portfolio is centered on advanced nanomaterials engineering and multifunctional material systems. His investigations into electrospun nanofiber membrane composites have contributed to applications involving water purification, toxic material removal, drug delivery systems, sensors, tissue engineering, dentistry, agricultural technologies, and microelectronics.[8]

Another major focus of his work involves intrinsically conducting polymer nanomaterials and their hybridization with nanoparticles, metal oxides, activated carbon, graphene, carbon nanotubes, and quantum dots. His studies have expanded the functional performance of conductive polymer systems for energy storage, sensing technologies, and electrochemical applications.[9]

His research activities additionally include solar cell engineering, thin-film photovoltaic systems, graphene-based materials development, hydrogen generation technologies, wastewater treatment systems, photocatalysis, and supercapacitor electrode engineering. These contributions collectively support sustainable energy innovation and environmentally responsive engineering solutions.[10]

Research Contributions

Professor Karim has contributed significantly to the development of electrospun polymeric nanofibers with multifunctional structural properties. His work on PBAT/PLA-based electrospun protective clothing systems introduced enhanced superhydrophobicity, breathability, thermal insulation, and protective characteristics suitable for disability-oriented wearable technologies.[11]

In the area of renewable energy and electrochemical storage systems, he has published influential research concerning Zn-ion hybrid supercapacitors, graphene-based electrode systems, MOF-derived oxide composites, and advanced nanoporous carbon materials for hydrogen storage and electrochemical applications.[12]

His investigations into nanofibrous membranes for wastewater remediation have demonstrated practical strategies for removing heavy metal ions, sulfathiazole contaminants, and industrial pollutants using advanced polymeric and carbon-based nanostructures.[13]

Professor Karim’s collaborative research activities further include partnerships with Swansea University, National University of Malaysia, NIMS Japan, Queensland universities, KAUST, KFUPM, and several globally recognized researchers. These collaborations have strengthened international research exchange and interdisciplinary technological development.[14]

Publications

Professor Karim has authored and co-authored more than 215 scholarly publications in internationally indexed journals. His research articles appear in leading journals such as Chemical Engineering Journal, Journal of Energy Storage, ACS Applied Materials & Interfaces, Renewable and Sustainable Energy Reviews, Desalination, Polymers, Journal of Materials Chemistry A, and International Journal of Hydrogen Energy.[15]

Several of his publications focus on supercapacitor development, electrospinning technologies, photocatalytic nanostructures, hydrogen storage materials, membrane engineering, and renewable energy conversion systems. His research output also includes patents, books, book chapters, and graduate supervision contributions.[16]

Among his highly cited publications are works related to graphene nanostructures for energy storage, perovskite solar cells, CdTe solar cell fabrication, activated porous carbon nanosheets, and advanced wastewater treatment nanocomposites.[17]

Research Impact

The scholarly influence of Professor Karim is reflected through strong citation metrics and sustained publication activity across multidisciplinary research domains. According to Web of Science records, he maintains an h-index of 42 with more than 6,400 citations, while Google Scholar reports over 8,200 citations and an h-index of 48.[18]

His inclusion among the world’s top 2% scientists highlights the international recognition of his research contributions and scientific productivity. Furthermore, his role in multiple funded projects supported by organizations such as MEWA, K.A. CARE, NPST, and King Salman Center for Disability Research demonstrates the practical and strategic relevance of his scientific investigations.[19]

Professor Karim has also played a substantial academic mentorship role through graduate supervision and advanced postgraduate teaching in nanotechnology, nanocomposite science, characterization of nanostructures, solar cell technology, and advanced composite engineering.[20]

Award Suitability

Professor Mohammad Rezaul Karim demonstrates a highly suitable profile for recognition under an international research excellence award category due to his extensive scholarly output, sustained interdisciplinary innovation, impactful scientific collaborations, and contributions to sustainable engineering technologies. His academic record reflects consistent engagement with high-impact research addressing energy sustainability, advanced materials development, environmental remediation, and biomedical engineering challenges.[21]

The combination of internationally recognized publications, global research collaborations, patents, teaching leadership, graduate supervision, and prestigious academic honors collectively establish his standing as a distinguished contributor to contemporary materials science and nanotechnology research.[22]

Conclusion

Mohammad Rezaul Karim has established a prominent international academic profile through impactful research in nanotechnology, advanced engineering materials, electrochemical energy systems, and environmental applications. His interdisciplinary scientific approach integrates fundamental chemistry, materials engineering, and applied technological innovation to support sustainable and high-performance engineering solutions.[23]

Through extensive scholarly publications, collaborative international projects, patents, and academic mentorship, he has contributed meaningfully to the advancement of nanomaterials science and renewable energy technologies. His research achievements and sustained global academic influence continue to strengthen his recognition within the international scientific community.[24]

References

  1. King Saud University. (n.d.). Faculty profile: Mohammad Rezaul Karim.
    http://fac.ksu.edu.sa/mkarim/
  2. Elsevier Scopus. (n.d.). Author details: Mohammad Rezaul Karim, Author ID 56820318000.
    https://www.scopus.com/authid/detail.uri?authorId=56820318000
  3. Karim, M. R., et al. (2024). Electrospun PEI/PAN membrane for advanced Zn ion hybrid supercapacitors. Journal of Energy Storage.
    https://doi.org/10.1016/j.est.2024.110974
  4. Aijaz, M. O., et al. (2023). Anti-fouling/wetting electrospun nanofibrous membranes for membrane distillation desalination: A comprehensive review.
    https://doi.org/10.1016/j.desal.2023.116475
  5. Immanuel, S., et al. (2021). Graphene based nanostructures for energy storage and biomedical applications.
    https://doi.org/10.1002/asia.202100139

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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. Jih Ru Hwu | Novel Sensors | Excellence in Innovation Award

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Prof. Jih Ru Hwu | Novel Sensors | Excellence in Innovation Award 

Prof. Jih Ru Hwu, National Tsing Hua Univeristy, Taiwan

Professor Reuben Jih-Ru Hwu is a Distinguished Chair Professor Emeritus with Lifetime Honor at National Tsing Hua University, Taiwan. He earned his Ph.D. from Stanford University in 1982 and served as a faculty member at The Johns Hopkins University from 1982 to 1991. An internationally recognized chemist, Professor Hwu’s research encompasses drug design and synthesis, DNA-cleaving agents, nano-biomaterials, natural product synthesis, organosilicon chemistry, novel reactions and reagents, and green chemistry. He has published over 253 peer-reviewed articles and holds more than 52 patents. Throughout his distinguished career, he has received numerous accolades, including the 2023 Outstanding Achievement Award from the Chinese American Chemical Society, the World Academy of Sciences Award (1997), and Taiwan’s National Chair Professorship. He is a Fellow of several esteemed organizations, including The World Academy of Sciences, IUPAC, The Royal Society of Chemistry, and the European Academy of Sciences and Arts. His leadership roles include presidencies at the Chinese American Chemical Society, Asian Federation for Medicinal Chemistry, and Federation of Asian Chemical Societies, reflecting his global impact on the chemical sciences community.

Professional Profile:

ORCID

SCOPUS

Summary of Suitability – Excellence in Innovation Award

Nominee: Professor Reuben Jih-Ru Hwu

Professor Reuben Jih-Ru Hwu, Distinguished Chair Professor Emeritus at National Tsing Hua University, Taiwan, is a globally renowned chemist whose career spans over four decades of groundbreaking innovation across drug design, nano-biomaterials, DNA-cleaving agents, organosilicon chemistry, and green chemistry. A Ph.D. graduate from Stanford University and former faculty member at The Johns Hopkins University, Professor Hwu has authored over 253 scientific articles and 52 patents, reflecting his prolific contributions to science and innovation.

🎓 Education

  • Ph.D. in Chemistry – Stanford University, USA (1982) 🇺🇸

💼 Work Experience

  • 🧪 Faculty Member – The Johns Hopkins University, USA (1982–1991)

  • 👨‍🏫 Professor – National Tsing Hua University, Taiwan

  • 🏅 Distinguished Chair Professor Emeritus with Lifetime Honor – National Tsing Hua University, Taiwan

🧬 Research & Achievements

  • 📚 Published >253 peer-reviewed articles

  • 🧾 Holds >52 patents

  • 🧪 Expertise in:

    • Drug design and synthesis 💊

    • DNA-cleaving agents 🧬

    • Nano-biomaterials ⚛️

    • Natural product synthesis 🌿

    • Organosilicon chemistry 🧫

    • Novel reactions and reagents ⚗️

    • Sustainability and green chemistry 🌱

🏆 Awards & Honors

  • 🥇 2023 Outstanding Achievement Award – Chinese American Chemical Society

  • 🏆 Trophy of Gulf Chemistry Association (2022)

  • 🧪 CAS Registry Innovator® (2022)

  • 👨‍🏫 Excellent Senior Teacher with 30 Years of Service (2020)

  • 👑 Taiwan National Chair Professorship

  • 🌍 The World Academy of Sciences Award (1997)

  • 🌟 JCI Ten Outstanding Young Persons of the World (1994)

  • 🧑‍🔬 FACS Distinguished Young Chemist Award (1992–93)

  • 🎓 Alfred P. Sloan Research Fellow (1986–1990)

  • 💊 Stuart Pharmaceuticals Achievement Award, USA (1986)

  • 🇯🇵 Japan Ming-Yu-Wen-Hwa Award (1976)

🌐 Fellowships & Memberships

  • 🌎 Fellow, The World Academy of Sciences (1999–)

  • 🔬 Fellow, IUPAC (2000–)

  • 👑 Fellow, Royal Society of Chemistry (FRSC) (2005–)

  • 🌏 Fellow, Asian Federation for Medicinal Chemistry (2013–)

  • 🇪🇺 Member, European Academy of Sciences and Arts (2019–)

  • 🧪 Fellow, Federation of Asian Chemical Societies (2025–)

🌟 Leadership Roles

  • 🇺🇸 President, Chinese American Chemical Society (1991–93)

  • 🌐 President, Asian Federation for Medicinal Chemistry (2012–13)

  • 🌏 President, Federation of Asian Chemical Societies (2019–23)

Publication Top Notes:

Calcium Impregnated Silica Gel in the Domino Reaction Involving Irreversible Aldol Addition, Dehydration, and Michael Addition

6-Chlorocoumarin Conjugates with Nucleobases and Nucleosides as Potent Anti-Hepatitis C Virus Agents

Biochemical Nanotubes Containing Heterocycles as Artificial Strands for Pseudo Duplex and Triplex DNA Formation

β-d-Ribofuranose as a Core with a Phosphodiester Moiety as the Enzyme Recognition Site for Codrug Development

Sustainable Domino C−N/C−C Bond Formation with Outstanding E Factors and High Volume Productivity

Generation of Quaternary Carbons in Cycloalkanones and Lactones with Arynes through a Domino Process

 

Prof. Dr. Lorena Barona López | Sensors | Best Researcher Award

Posted on by Global Sensor Awards

Prof. Dr. Lorena Barona López | Sensors | Best Researcher Award 

Prof. Dr. Lorena Barona López, EPN, Ecuador 

Lorena Isabel Barona López is a researcher and professor specializing in computer science and telecommunications, currently affiliated with the Escuela Politécnica Nacional in Quito, Ecuador. She holds a Ph.D. in Computer Science from the Universidad Complutense de Madrid, Spain, where she developed a situational awareness model for 5G mobile networks within the SELFNET architecture. Her academic background also includes a Master’s in Telematic Services and Networking Engineering from Universidad Politécnica de Madrid and a Bachelor’s degree in Electronic and Information Network Engineering from Escuela Politécnica Nacional. Dr. Barona’s research interests encompass 5G networks, software-defined networking (SDN), virtualization, and data analysis. She is an accredited Level 1 researcher by the Ecuadorian Secretariat for Higher Education, Science, and Technology and a member of various international research networks, including Ciencia Digital and Indra Digital Lab. With extensive teaching experience at both national and international universities, she has lectured in areas such as cybersecurity, network security, embedded systems, and system architecture. Dr. Barona also serves as the Executive Editor of the Ciencia Digital journal and has professional experience in systems administration and IT support. She is proficient in both Spanish and English and actively pursues professional development in artificial intelligence, machine learning, programming, and digital pedagogy.

Professional Profile:

GOOGLE SCHOLAR

ORCID

Summary of Suitability for Best Researcher Award

Dr. Lorena Isabel Barona López is a distinguished academic and researcher in the fields of Computer Science, 5G networks, Data Analysis, Software-Defined Networks (SDN), and Virtualization. Her extensive research background, innovative contributions to next-generation networking technologies, and commitment to both education and scientific advancement make her an exceptionally qualified candidate for the Best Researcher Award.

👩‍🎓 Education

  • 🎓 Ph.D. in Computer Science
    Universidad Complutense de Madrid, Spain
    (Nov 2013 – Sep 2017)
    📘 Thesis: Modelo de Conciencia Situacional para el Análisis de Datos en Redes Móviles 5G
    🔍 Research Areas: 5G, Data Analysis, SDN, Virtualization

  • 🎓 Master’s in Telematic Services & Networking Engineering
    Universidad Politécnica de Madrid, Spain
    (Sep 2012 – Jul 2013)
    📘 Thesis: Propuesta de Escenarios Virtuales con la Herramienta VNX para Pruebas del Protocolo OpenFlow
    🔍 Focus: OpenFlow, Networks, SDN, Virtualization

  • 🎓 Bachelor’s in Electronic and Information Network Engineering
    Escuela Politécnica Nacional, Ecuador
    (Oct 2004 – Oct 2010)
    📘 Project: IP-based Surveillance System for Condominiums in Ambato
    🔍 Focus: IP, Networks

💼 Work & Teaching Experience

  • 🧠 Researcher, GASS Group
    Universidad Complutense de Madrid
    (Nov 2013 – Jul 2017)
    🧪 Focus on cybersecurity, 5G, and data analysis.

  • 📝 Executive Editor, Ciencia Digital Journal
    (Sep 2017 – Present)

  • 👩‍🏫 Teaching Roles (2011–2025):
    Courses in:

    • Communication Systems, Embedded Systems, Cybersecurity 🔐

    • Network Security, Software Engineering 💻

    • Extended Databases, Operating Systems 🖥️

    • MOOCs and online teaching platforms 🎓

    📍 Institutions:

    • Escuela Politécnica Nacional

    • Universidad Internacional de la Rioja (Spain)

    • Universidad Técnica de Ambato

    • Universidad Metropolitana

    • Universidad de las Américas

  • 🖥️ System Administrator, COMDECSA
    (May 2011 – Sep 2012)

  • 🧪 Lab Assistant, Escuela Politécnica Nacional
    (Sep 2009 – Aug 2010)

🏅 Achievements, Accreditations, and Honors

  • 🥇 Aggregated Researcher Level 1, Ecuador’s Secretaría de Educación Superior, Ciencia y Tecnología (2018)

  • 🌐 Member of:

    • Ciencia Digital Network (2019)

    • International Network Indra Digital Lab, Spain

  • 📜 Extensive professional certifications in:

    • AI & Machine Learning 🤖

    • ICT in Education 💡

    • Cloud Dashboards ☁️

    • Programming (Python 🐍, Java ☕, R 📊)

    • Educational tools and Moodle platforms 🎓

  • 🎖️ Expert in Pedagogical Innovation: flipped classrooms, digital teaching tools, and virtual course design.

Publication Top Notes:

A Systematic Literature Review of Machine Unlearning Techniques in Neural Networks

Heterogeneity Challenges of Federated Learning for Future Wireless Communication Networks

A comparison of EMG-based hand gesture recognition systems based on supervised and reinforcement learning

Recognition of Hand Gestures Based on EMG Signals with Deep and Double-Deep Q-Networks

Hand Gesture and Arm Movement Recognition for Multimodal Control of a 3-DOF Helicopter

Hand Gesture Recognition Using EMG-IMU Signals and Deep Q-Networks

A Hand Gesture Recognition System Using EMG and Reinforcement Learning: A Q-Learning Approach