Akbar Esmaeili | Nano Sensors | Innovative Research Award

Posted on by Global Sensor Awards

Innovative Research Award

Akbar Esmaeili
Professor, Department of Chemical Engineering, North Tehran Branch Campus (NT.C.), Islamic Azad University, Tehran, Iran

Akbar Esmaeili
Affiliation Islamic Azad University
Country Iran
Scopus ID 9236211800
Documents 148
Citations 3,402
h-index 27
Subject Area Chemical Engineering, Nanotechnology, Biomaterials, Environmental Engineering, Nano Sensors
Event Global Sensor Awards
ORCID 0000-0002-6789-0250

Akbar Esmaeili is an Iranian professor, researcher, author, editor, reviewer, and innovator whose scholarly work spans chemical engineering, nanotechnology, environmental remediation, biomaterials, tissue engineering, pharmaceutical nanoscience, wastewater treatment, biosensors, and industrial chemistry. He is affiliated with the Department of Chemical Engineering at Islamic Azad University in Tehran, Iran. His research portfolio includes extensive contributions to nanofibers, nanocapsules, biosorption systems, advanced biomaterials, drug delivery technologies, membrane reactors, and sustainable environmental engineering solutions. His scientific achievements have earned inclusion in Stanford University’s Top 2% Scientists listings for multiple consecutive years.[1]

Abstract

Akbar Esmaeili has established a multidisciplinary research career integrating chemical engineering, nanotechnology, environmental science, pharmaceutical systems, biomaterials engineering, and sustainable industrial processes. His body of work includes the development of nanofiber-based drug delivery systems, advanced membrane technologies, wastewater treatment processes, biosorption platforms, antimicrobial nanocomposites, tissue engineering scaffolds, biosensors, and nanoparticle-enabled therapeutic technologies. Through extensive publication output, editorial leadership, international collaborations, patents, and conference participation, he has contributed to the advancement of both fundamental and applied chemical engineering research.[1]

Keywords

Chemical Engineering, Nanotechnology, Drug Delivery Systems, Nanofibers, Tissue Engineering, Biomaterials, Biosensors, Wastewater Treatment, Biosorption, Environmental Engineering, Membrane Technology, Nanocapsules, Pharmaceutical Nanotechnology, Industrial Chemistry, Sustainable Materials.

Introduction

The advancement of modern chemical engineering increasingly depends upon interdisciplinary integration across materials science, biotechnology, environmental sustainability, and pharmaceutical innovation. Akbar Esmaeili’s academic career exemplifies this convergence through research programs that address environmental remediation, biomedical engineering, drug delivery technologies, nanomaterials development, and industrial process optimization. His investigations have contributed to practical solutions for heavy metal removal, wastewater treatment, controlled drug release, tissue regeneration, biosensing technologies, and sustainable manufacturing systems.[2]

Research Profile

Professor Esmaeili obtained his doctoral education in Organic Chemistry and subsequently developed an extensive research portfolio spanning several interconnected scientific domains. He possesses expertise in advanced analytical instrumentation including NMR, HPLC, FT-IR, UV-Vis, GC-MS, XRD, SEM, FESEM, TGA, PSA, SLS, and DLS technologies. His scientific leadership extends beyond research through editorial responsibilities, journal reviewing activities, book authorship, conference presentations, and international scholarly collaborations.[1]

Research Contributions

  • Development of nanofiber-based scaffolds for cardiovascular and tissue engineering applications.
  • Design of advanced membrane bioreactors for industrial wastewater treatment.
  • Research on biosorption technologies for heavy metal removal from contaminated water.
  • Innovation in nanoparticle-mediated drug delivery and controlled release systems.
  • Development of antimicrobial and antioxidant nanocomposites for biomedical applications.
  • Advancement of biosensor technologies using nanomaterials and conductive polymers.
  • Contributions to food packaging technologies using nanocapsules and edible films.
  • Research on petroleum wastewater treatment and industrial effluent management.
  • Investigation of natural products, phytochemicals, and microbial biotransformation processes.
  • Innovation in nano-enabled biomedical and pharmaceutical engineering systems.

Publications

Professor Esmaeili has authored more than 150 peer-reviewed scientific publications across leading international journals and publishing houses. His publication record includes research articles, review papers, conference proceedings, patents, textbooks, translations, and book chapters published by major academic publishers including Elsevier, Springer, and Wiley.[3]

  • Development and Evaluation of Natural Hydrogel Nanocomposites for Skin Rejuvenation (2026).
  • Biotransformation of Natural Compounds to Create Useful Medicinal Products (2025).
  • Advancements and Challenges in Tissue Engineering of Heart Valves (2025).
  • Coaxial Electrospinning for Drug Delivery Applications (2023).
  • Optimization and Characterization of Electrospun Nanofibers for Drug Delivery (2017).
  • Numerous Elsevier, Wiley, and Springer book chapters related to nanomaterials, biosensors, wastewater treatment, textiles, and tissue engineering.

Research Impact

The impact of Professor Esmaeili’s work is demonstrated through sustained scholarly productivity, international collaborations, technology development, patent generation, editorial service, and recognition within global scientific communities. His inclusion in Stanford University’s Top 2% Scientists database across multiple consecutive years reflects the influence of his research outputs based on standardized citation indicators, including citation counts, h-index metrics, and authorship-weighted scientific impact measurements.[1]

His research has supported advancements in healthcare technologies, environmental protection, sustainable industrial systems, pharmaceutical engineering, biomaterials development, and nanotechnology-enabled innovations. The breadth of applications addressed in his work demonstrates a strong translational orientation connecting laboratory research with practical societal needs.[2]

Award Suitability

Akbar Esmaeili demonstrates strong suitability for international recognition in chemical engineering, nanotechnology, environmental science, and biomaterials research. His academic profile combines sustained publication productivity, technological innovation, interdisciplinary research leadership, editorial contributions, international conference engagement, patent development, student supervision, and globally recognized scientific impact. These accomplishments align closely with evaluation criteria commonly used for distinguished researcher, lifetime achievement, innovation, and excellence awards within scientific and engineering disciplines.[1]

Conclusion

Professor Akbar Esmaeili has established a distinguished academic career characterized by significant contributions to chemical engineering, nanotechnology, environmental remediation, pharmaceutical sciences, and biomaterials engineering. Through extensive scholarly output, international scientific engagement, technological innovation, and educational leadership, he has contributed to the advancement of both fundamental knowledge and practical applications across multiple scientific domains. His research achievements, international recognition, and sustained impact support his standing as a notable contributor to contemporary chemical and biomedical engineering research.

References

  1. Elsevier. (n.d.). Scopus Author Details: Akbar Esmaeili, Author ID 9236211800. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=9236211800
  2. Esmaeili, A. et al. Multiple publications in chemical engineering, biomaterials, environmental technologies, nanotechnology, and drug delivery systems.
  3. Springer Nature. (2025). Management of Petroleum Wastewater and Oil Field Discharges: Diagnosis, Impacts and Treatment.
    https://doi.org/10.1007/978-3-032-04308-5
  4. Stanford University Citation Database. Updated science-wide author databases of standardized citation indicators.
    https://data.mendeley.com/datasets/btchxktzyw/2

Hamza Abubakar | Body Area Network | Innovative Research Award

Posted on by Global Sensor Awards

Innovative Research Award

HAMZA ABUBAKAR, PhD
Department of Mathematics, Isa Kaita College of Education, Dutsin-Ma, Nigeria

HAMZA ABUBAKAR
Affiliation Isa Kaita College of Education
Country Nigeria
Scopus ID 57217009001
Documents 30
Citations 350
h-index 9
Subject Area Applied Mathematics, Financial Mathematics, Neural Networks, Body Area Network
Event Global Sensor Awards
ORCID
0000-0002-9451-0401

Hamza Abubakar is a Nigerian applied mathematician and academic researcher specializing in financial mathematics, optimization algorithms, neural networks, and statistical modelling. He has contributed extensively to interdisciplinary mathematical research through scholarly publications, conference presentations, academic leadership, and funded research initiatives. His work integrates advanced computational techniques with applied statistical frameworks for solving practical problems in finance, engineering, healthcare analytics, and artificial intelligence.[1]

Abstract

This academic article presents the scholarly profile and research achievements of Hamza Abubakar, an applied mathematician with expertise in financial mathematics, neural networks, optimization algorithms, and statistical modelling. Over a professional academic career spanning more than fifteen years, he has contributed to higher education, interdisciplinary research, curriculum development, and mathematical applications in finance and artificial intelligence. His publications and conference presentations demonstrate sustained contributions to optimization theory, stochastic modelling, and machine learning-based analytical systems. His work has received visibility through peer-reviewed international journals and collaborative research activities across Nigeria and Malaysia.[2]

Keywords

Applied Mathematics; Financial Mathematics; Neural Networks; Optimization Algorithms; Statistical Modelling; Machine Learning; Risk Assessment; Weibull Distribution; Hopfield Neural Networks; Artificial Intelligence; Computational Mathematics; Mathematical Modelling.

Introduction

Applied mathematics continues to play an essential role in solving real-world scientific and financial challenges through computational modelling and algorithmic optimization. Researchers working at the intersection of mathematics, artificial intelligence, and financial analytics contribute significantly to modern predictive systems and decision-making frameworks. Hamza Abubakar has developed a research portfolio focused on the application of mathematical optimization techniques and intelligent computational models to finance, risk prediction, healthcare classification systems, and statistical estimation problems.[3]

His academic progression from assistant lecturer to principal lecturer reflects sustained professional growth and commitment to mathematics education and research leadership. In addition to teaching and supervision responsibilities, he has participated actively in professional associations and interdisciplinary collaborations within computational mathematics and artificial intelligence.[4]

Research Profile

Hamza Abubakar obtained his Bachelor of Science in Mathematics Education from the University of Abuja in 2006, followed by a Master of Science degree in Financial Mathematics from the same institution in 2015. He later completed a Doctor of Philosophy degree in Applied Mathematics at Universiti Sains Malaysia in 2022.[5]

His academic and professional engagements include positions at Isa Kaita College of Education, Annahda International University, Universiti Sains Malaysia, and Universiti Utara Malaysia. These appointments enabled him to contribute to teaching, research mentoring, curriculum implementation, and international academic collaboration across mathematics and quantitative sciences disciplines.[6]

Research Contributions

The research contributions of Hamza Abubakar are concentrated on optimization algorithms, generalized linear models, neural network systems, and probabilistic modelling techniques. His studies on Weibull and Gamma distribution parameter estimation introduced optimization-based frameworks that integrate heuristic and artificial intelligence algorithms for statistical inference.[2]

His publications also investigate the application of Hopfield neural networks and satisfiability logic in intelligent classification systems. These studies contribute to computational intelligence by combining neural computation with optimization strategies for financial risk prediction and healthcare-related classification tasks.[3]

Publications

The publication profile of Hamza Abubakar includes peer-reviewed journal articles, conference proceedings, books, and book chapters addressing applied mathematics, computational intelligence, optimization theory, and financial analytics.[5]

  • Abubakar, H., & Sayed, A. A. I. (2025). Estimation of shifted Weibull distribution parameters using continuous Hopfield neural networks. Journal of Applied Statistics, 52(14), 1–33.
  • Abubakar, H. (2025). Random Satisfiability Logic-Driven Approach in Hopfield Neural Networks. International Journal of Applied and Computational Mathematics, 11(3), 117.
  • Ali, G. A., Abubakar, H., et al. (2023). Artificial dragonfly algorithm in the Hopfield neural network. PLOS ONE, 18(9), e0286874.
  • Abubakar, H., & Sabri, S. R. M. (2023). A Bayesian Approach to Weibull Distribution. Journal of Reliability and Statistical Studies, 16(01), 1–24.
  • Abubakar, H., & Madugu, A. (2025). Fundamentals of Mathematics in Finance: A Guide to Undergraduate Financial Mathematics. Ahmadu Bello University Press.

Research Impact

The research activities of Hamza Abubakar demonstrate interdisciplinary impact through the integration of mathematical theories with computational intelligence systems. His work contributes to broader developments in financial analytics, predictive modelling, and optimization-based machine learning approaches. Several of his studies have been indexed in internationally recognized journals and databases, increasing accessibility and scholarly visibility.[1]

In addition to research output, he has secured multiple institutional research grants under the TETFUND Institutional Based Research programme and contributed to academic administration and mentoring within the mathematics community in Nigeria.[1]

Award Suitability

Hamza Abubakar demonstrates suitability for recognition in applied mathematics and computational research due to his sustained academic contributions, interdisciplinary research portfolio, leadership in mathematics education, and involvement in international collaborations. His scholarly activities reflect a balance between theoretical mathematical development and practical computational applications.[2]

His publication record, funded projects, editorial roles, and conference participation collectively indicate active engagement in advancing quantitative sciences and intelligent computational systems. These contributions align with the objectives of international research excellence and innovation awards recognizing impactful academic scholarship.[3]

Conclusion

Hamza Abubakar has established a professional and scholarly profile grounded in applied mathematics, optimization techniques, financial modelling, and neural network systems. Through academic teaching, interdisciplinary research, conference engagement, and institutional leadership, he has contributed meaningfully to the advancement of quantitative sciences and computational methodologies. His body of work reflects ongoing dedication to mathematical innovation, research excellence, and higher education development within both regional and international academic communities.

References

  1. Elsevier. (n.d.). Scopus author details: HAMZA ABUBAKAR, Author ID 57217009001. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57217009001
  2. ORCID. (n.d.). HAMZA ABUBAKAR researcher profile.
    https://orcid.org/0000-0002-9451-0401
  3. Abubakar, H., & Sayed, A. A. I. (2025). Estimation of shifted Weibull distribution parameters using continuous Hopfield neural networks. Journal of Applied Statistics.
  4. Abubakar, H. (2025). Random Satisfiability Logic-Driven Approach in Hopfield Neural Networks. International Journal of Applied and Computational Mathematics.
  5. Universiti Sains Malaysia. (2022). Doctor of Philosophy in Applied Mathematic

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

 

Dr. Wanxin Tang | Wearable Sensor Award | Best Researcher Award

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Dr. Wanxin Tang | Wearable Sensor Award | Best Researcher Award 

Dr. Wanxin Tang, Shanghai Normal University, China

Wanxin Tang is a faculty member at the School of Materials and Science, Shanghai Normal University, where he has been working since August 2020. He earned his Ph.D. from East China Normal University in March 2020, specializing in flexible electronics and functional hydrogels under the guidance of Professor Pingang He. His research includes flexible Raman spectrum analysis, wearable flexible devices, and electrochemical sensors. Prior to his current position, Dr. Tang was a Flexible Electronics Engineer at the Institute of Flexible Electronics Technology of Tsinghua University and a visiting student at the Department of Nanoengineering, University of California, San Diego. His notable achievements include receiving the China Scholarship Council Scholarship, the Shanghai Super Postdoctoral Award, and grants from the National Natural Science Foundation of China and the Science and Technology Commission of Shanghai Municipality.

Professional Profile:

Summary of Suitability for Best Researcher Award

Dr. Wanxin Tang is a highly qualified candidate for the Best Researcher Award, based on his impressive academic background, notable research achievements, and contributions to the field of flexible electronics and electrochemical sensors.

Education:

  • Ph.D. in Chemistry and Molecular Engineering, School of Chemistry and Molecular Engineering, East China Normal University, Shanghai, China (March 2020). Supervisor: Prof. Pingang He.
  • M.S. in Life and Environmental Sciences, School of Life and Environmental Sciences, Shanghai Normal University, China (September 2012 – June 2015).
  • B.S. in Science and Technology, School of Science and Technology, Xinyang University, China (September 2008 – June 2012).

Work Experience:

  • Faculty at the School of Materials and Science, Shanghai Normal University, Shanghai, China (August 2020 – present). Research focuses on flexible Raman spectrum analysis, functional hydrogels, and wearable flexible devices in collaboration with Prof. Haifeng Yang.
  • Flexible Electronics Engineer at the Institute of Flexible Electronics Technology of Tsinghua, Hangzhou, Zhejiang, China (June 2020 – December 2020). Worked on flexible electronics and electrochemical sensors as part of a project led by Prof. Xue Feng.
  • Visiting Student at the Department of Nanoengineering, University of California, San Diego (October 2017 – September 2019). Engaged in research on flexible devices and wearable electrochemical sensors under the supervision of Prof. Joseph Wang.

Publication top Notes:

Simultaneous detection of streptomycin and kanamycin based on an all-solid-state potentiometric aptasensor array with a dual-internal calibration system

Label-free potentiometric aptasensing platform for the detection of Pb2+ based on guanine quadruplex structure

Phytic acid@Ag-based all-solid-state ion selective electrode for potentiometric detection of Cu 2+

Molecularly imprinted polymers-based electrochemical DNA biosensor for the determination of BRCA-1 amplified by SiO2@Ag

Internal Calibration Potentiometric Aptasensors for Simultaneous Detection of Hg2+, Cd2+, and As3+ Based on a Screen-Printed Carbon Electrodes Array