Abdul Barik | Sensor Characterization | Best Academic Researcher Award

Posted on by Global Sensor Awards

Best Academic Researcher Award

Abdul Barik
Department of Textile Engineering, Southeast University, Bangladesh

Abdul Barik
Affiliation Southeast University
Country Bangladesh
Scopus ID 57222270795
Documents 8
Citations 109
h-index 4
Subject Area Sensor Characterization
Event Global Sensor Awards
ORCID 0009-0002-4657-2162

Abdul Barik is a Lecturer in the Department of Textile Engineering at Southeast University, Bangladesh. His academic career combines teaching, materials research, and scientific collaboration in condensed matter physics and engineering materials. His research emphasizes thin films, nanotechnology, functional oxide materials, perovskite materials, computational materials science, and optoelectronic applications. Through interdisciplinary research, undergraduate instruction, and collaborative projects, he contributes to the advancement of sustainable materials and sensor characterization technologies while promoting innovation in higher education and engineering research.[1]

Abstract

Abdul Barik is an academic researcher whose work integrates experimental and computational investigations of functional materials for sensor, energy, and optoelectronic applications. His research explores thin films, lead-free perovskites, nanostructured materials, and density functional theory (DFT) simulations to understand structural, electrical, and optical properties. His scholarly activities include peer-reviewed publications, editorial appointments, conference participation, and collaborative research, supporting the advancement of sustainable materials science and engineering.[2]

Keywords

Sensor Characterization; Thin Films; Nanotechnology; Functional Oxide Materials; Lead-Free Perovskites; Condensed Matter Physics; Computational Materials Science; Density Functional Theory; Optoelectronic Materials; X-ray Diffraction.

Introduction

Serving as a Lecturer at Southeast University, Abdul Barik combines engineering education with active scientific research. His professional interests span materials characterization, thin-film technology, functional oxide materials, nanotechnology, and computational modelling. Through teaching, curriculum development, and student supervision, he supports the development of future engineers while maintaining an active research profile focused on advanced materials and their technological applications.[2]

Research Profile

His ongoing research investigates calcium-substituted barium titanate thin films for optoelectronic devices, pressure-dependent electronic behaviour of lead-free perovskites using density functional theory, and functional oxide materials for energy applications. His expertise includes X-ray diffraction analysis, electrical and optical characterization, computational materials science, and experimental materials engineering. Collaborative research with Bangladesh University of Engineering and Technology, Southeast University, and international materials researchers has strengthened the interdisciplinary scope of his investigations.[2]

Research Contributions

  • Experimental characterization of functional oxide thin films.
  • Computational investigation of lead-free perovskite materials using density functional theory.
  • Research on structure–property relationships in advanced materials.
  • Studies of optical, structural, and electrical properties of nanostructured materials.
  • Promotion of interdisciplinary collaboration in condensed matter physics and materials science.
  • Academic mentoring, undergraduate teaching, and curriculum development.

Publications

The researcher has authored eight Scopus-indexed publications and a total of nine scholarly journal publications. His work has received over one hundred citations across academic databases and more than 4,420 ResearchGate reads. His publication portfolio focuses on condensed matter physics, sensor characterization, thin films, perovskite materials, and functional oxides, reflecting sustained engagement in advanced materials research.[1]

  • Scopus-indexed journal publications: 8
  • Total journal publications: 9
  • Editorial appointments: 2
  • ResearchGate citations: 135
  • ResearchGate reads: 4,420+

Research Impact

The available research indicators include eight Scopus-indexed documents, 109 Scopus citations, an h-index of 4, and broader academic visibility reflected by 135 Google Scholar and ResearchGate citations. His editorial responsibilities, collaborative research, and conference participation further demonstrate sustained scholarly engagement in materials science, computational modelling, and sensor-related characterization techniques.[1]

Award Suitability

Abdul Barik’s profile aligns with the objectives of the Best Academic Researcher Award presented at the Global Sensor Awards. His contributions to thin-film characterization, functional oxide materials, computational materials science, and optoelectronic research demonstrate scientific relevance within the field of sensor characterization. His academic leadership, collaborative research activities, and publication record support recognition for sustained contributions to engineering education and materials research.[2]

Conclusion

Abdul Barik has established a growing academic profile through interdisciplinary research, engineering education, and collaborative scientific investigations. His work in condensed matter physics, thin films, nanotechnology, and functional materials contributes to ongoing developments in advanced materials and sensor characterization. Continued research, publication, and academic engagement position him as an active contributor to emerging technologies and sustainable engineering applications.

References

  1. Elsevier. (n.d.). Scopus author details: Abdul Barik, Author ID 57222270795. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57222270795
  2. Abdul Barik. Academic and Professional Background, Research Projects, Research Contributions, Collaborations, Publication Metrics, and Professional Activities.

Mohammad Abdi | Solid State Sensors | Best Researcher Award

Posted on by Global Sensor Awards

Best Researcher Award

Mohammad Abdi
Affiliation Zanjan University of Medical Sciences
Country Iran
Scopus ID 57202238954
Documents 27
Citations 171
h-index 5
Subject Area Medical Education, Nursing, Medical Ethics, Solid State Sensors
Event Global Sensor Awards
ORCID 0000-0002-1084-2936

Mohammad Abdi is an Iranian academic, researcher, educator, and healthcare professional affiliated with Zanjan University of Medical Sciences. His scholarly activities encompass medical education, nursing science, medical ethics, critical care, emergency medicine, healthcare management, and medico-legal education. Through a combination of teaching, research, editorial leadership, and academic service, he has contributed significantly to evidence-based healthcare education and interdisciplinary medical scholarship.[1]

Abstract

Mohammad Abdi has established a multidisciplinary research portfolio spanning nursing science, critical care medicine, medical education, healthcare ethics, legal medicine, emergency healthcare systems, and educational innovation. His scholarly work addresses healthcare quality, professional development, patient safety, medical law, and healthcare policy while promoting evidence-based educational practices across medical and nursing curricula.[1]

Keywords

Medical Education, Nursing Research, Critical Care, Medical Ethics, Healthcare Quality, Medical Law, Emergency Medicine, Educational Assessment, Clinical Training, Health Policy, Professional Development, Evidence-Based Healthcare.

Introduction

Medical education and nursing research play essential roles in advancing healthcare systems and improving patient outcomes. Dr. Mohammad Abdi’s academic career reflects a sustained commitment to integrating healthcare practice, medical ethics, educational innovation, and research excellence. His work contributes to the development of healthcare professionals while addressing practical challenges in patient care and healthcare management.[1]

Research Profile

Abdi completed academic training in Nursing, Critical Care, Medical Education, and Medical Law Education. Since joining Zanjan University of Medical Sciences, he has served as a faculty member while simultaneously contributing to research, educational leadership, editorial activities, and institutional development. His interdisciplinary expertise allows him to bridge healthcare delivery, education, ethics, and legal frameworks in medicine.[1]

Research Contributions

  • Advancement of medical law education and medico-legal reasoning among healthcare professionals.
  • Research on professionalism, ethics, and legal responsibilities in healthcare environments.
  • Studies addressing occupational stress, depression, and burnout among healthcare personnel.
  • Contributions to critical care nursing and patient-centered healthcare delivery.
  • Development of innovative approaches in medical education, assessment, and curriculum design.
  • Publication of systematic reviews and evidence-based educational research.

Publications

  • Impact of Teaching, Learning, and Assessment of Medical Law on Cognitive, Affective and Psychomotor Skills of Medical Students.
  • Legal and Ethical Recommendations for Video Recording in the Operating Room.
  • Professionalism in Cyberspace and its Ethical and Legal Requirements for Medical Professionals.
  • The Association Between Quality of Nursing Care in the ICU and Severity of Illness.
  • Emotional Intelligence and Quality of Nursing Care.
  • Prevalence of Depression, Anxiety and Stress among Patients Discharged from Critical Care Units.
  • The Relationship Between Religious-Spiritual Well-Being and Stress, Anxiety and Depression in University Students.

Research Impact

The research output of Abdi demonstrates measurable influence across nursing science, medical education, healthcare ethics, and clinical practice. His publications have been cited by scholars investigating healthcare quality, educational methodologies, patient safety, and professional ethics. In addition, his extensive peer-review contributions across international journals have supported the dissemination and evaluation of high-quality scientific research.[1]

Award Suitability

Mohammad Abdi is a strong candidate for recognition in categories related to Medical Education, Nursing Research, Healthcare Ethics, and Academic Leadership. His achievements include educational innovation, impactful research publications, editorial leadership, peer-review service, faculty development, and contributions to healthcare quality improvement. His recognition as a top researcher and nursing academic further supports his suitability for international academic awards.[1]

Conclusion

Mohammad Abdi’s academic career illustrates a balanced integration of research, teaching, healthcare practice, and professional service. His contributions to medical education, nursing science, ethics, and healthcare management continue to support evidence-based healthcare systems and educational excellence. His work remains relevant to the advancement of modern healthcare education and professional development.[1]

References

  1. Curriculum Vitae of Dr. Mohammad Abdi, Zanjan University of Medical Sciences and Health Services, including educational background, employment history, publication record, editorial activities, awards, and professional responsibilities.
  2. Elsevier. (n.d.). Scopus Author Details: Mohammad Abdi, Author ID 57202238954.
    https://www.scopus.com/authid/detail.uri?authorId=57202238954
  3. Abbasi M., Shirazi M., Torkmandi H., Homayoon S., Abdi M. (2023). Impact of Teaching, Learning, and Assessment of Medical Law on Cognitive, Affective and Psychomotor Skills of Medical Students.

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.

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/