Mohammad Abdi | Solid State Sensors | Best Researcher Award

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.

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

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

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/

Mr. Mauricio Velazquez Diaz | Integrated Circuit | Best Researcher Award

Mr. Mauricio Velazquez Diaz | Integrated Circuit | Best Researcher Award 

Mr. Mauricio Velazquez Diaz | Integrated Circuit | National Institute of Astrophysics, Optics and Electronics | Mexico

Mr. Mauricio Velazquez Diaz completed his Bachelor’s degree in Electronics at BUAP, followed by a Master of Science in Electronics with specialization in Analog Integrated Circuit Design at INAOE, and is currently a PhD student at INAOE focusing on the design of a 16-bit zoom-robust ADC optimized for process and temperature variations for biomedical applications. He has accrued hands-on experience through internships: at INAOE where he worked on PolyMEMS-based device fabrication and magnetically coupled pressure sensors via surface micromachining, and more recently at Tyndall Institute where he contributes to the PERCEIVE project’s ADC tape-out in 28 nm technology and supports the PolarBear project’s 65 nm cryogenic ADC design — including a programmable Band-Pass Sigma-Delta ADC for qubit readout at 4 K. His research interests center on mixed-signal integrated circuit design, low-noise and temperature-robust ADC architectures, biomedical sensing electronics, and quantum/cryogenic readout systems. His research skills include analog IC design, device fabrication testing, noise-shaping SAR techniques, DAC ladder implementation, tape-out workflows, cryogenic measurement and characterization, and robust circuit design for biomedical and quantum sensing. While public records indicate one peer-reviewed journal article in a Scopus-indexed outlet, additional awards or honors are not currently listed; nonetheless, his active role in competitive, internationally scoped projects and his ORCID profile (0000-0003-1021-4398) reflect a commitment to rigorous scholarly and technical contribution. Given his proven ability to bridge device fabrication, analog design, and emerging cryogenic quantum sensing — coupled with a demonstrated capacity to deliver publication-level results — he shows strong potential for future high-impact contributions in sensor-oriented electronics and quantum readout systems, especially if he expands his publication portfolio and engages more with international collaborations and professional communities. In conclusion, Mauricio Velázquez Díaz stands out as a diligent, skilled, and forward-looking researcher whose solid educational background, practical experience, technical competence, and evolving research trajectory make him a strong candidate for recognition under the Global Sensor Awards.

Professional Profiles: ORCID 

Selected  Publications

An area-efficient 1st order noise shaping SAR using C-2C ladder DAC for biomedical applications