yanan Camaraza-Medina | Integracion Numerica | Editorial Board Member

Published on 15/11/202515/11/2025 by Math Scientist

Dr. yanan Camaraza-Medina | Integracion Numerica | Editorial Board Member

Postdoctoral Research | University of Guanajuato | Mexico

Yanan Camaraza Medina is a mechanical engineer with 15 years of experience in thermal and energy systems, specializing in convective heat transfer, thermal radiation, and industrial heat-transfer equipment. His work integrates experimental, analytical, and numerical methods to improve the performance, safety, and efficiency of thermal systems used in energy generation and industrial applications. With academic and industrial expertise, he has served as a department head in thermal engineering, university professor, and researcher, contributing to advancements in thermophysical property modeling, phase-change processes, and multiphysics simulations. His research includes the development of predictive correlations, heat-transfer models, and computational strategies applied to real-world engineering problems.

Profiles: Scopus | Orcid

Featured Publications

Camaraza Medina, Y. (2025). Proximate and ultimate analysis, higher heating value and inorganic chemical composition of woods from central region of Cuba. Sustainable Chemistry One World.

Camaraza Medina, Y., et al. (2025). Heat transfer modeling during condensation inside tubes with arbitrary geometrical orientations. Heat Transfer.

Camaraza Medina, Y. (2025). Experimental correlation of the steel’s thermophysical properties for thermal engineering applications. Heat Transfer.

Camaraza Medina, Y., et al. (2025). Multiphysics analysis of electric arc extinction in low voltage switchgear: Electromagnetic, thermal, and fluid dynamics interactions. Thermal Science and Engineering Progress.

Camaraza Medina, Y., et al. (2025). Analysis of transient heat conduction in tubes under convective boundary conditions. Heat Transfer.

Raghavendran Prabakaran | Fractional Differential Equations | Best Researcher Award

Published on 10/11/202510/11/2025 by Math Scientist

Dr. Raghavendran Prabakaran | Fractional Differential Equations | Best Researcher Award

Researcher | Vel Tech Rangarajan Dr. Sagunthala R\&D Institute of Science and Technology | India

Dr. Raghavendran Prabakaran is an emerging mathematician specializing in fractional differential equations, integral transforms, control theory, and their applications in artificial intelligence and cryptography. With over 60 research contributions, including SCI and Scopus-indexed journal papers, conference presentations, book chapters, and patents, his work demonstrates both theoretical depth and applied innovation. His research focuses on the development and analysis of mathematical models for complex systems, emphasizing existence, stability, and controllability results in fractional calculus. Through rigorous analytical approaches and novel transform methods, Dr. Raghavendran advances the understanding of fractional integro-differential systems, contributing to both pure and applied mathematics. His growing citation impact across Scopus, Web of Science, and Google Scholar reflects his rising influence in computational and applied mathematical research.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Raghavendran, P., Gunasekar, T., Balasundaram, H., Santra, S. S., & Baleanu, D. (2024). Solving fractional integro-differential equations by Aboodh transform. Journal of Mathematics and Computer Science, 34, —. Citation count: 34.

Gunasekar, T., Raghavendran, P., Santra, S. S., & Sajid, M. (2024). Existence and controllability results for neutral fractional Volterra–Fredholm integro-differential equations. Journal of Mathematics and Computer Science, 34(4), 361–380. Citation count: 33.

Gunasekar, T., Raghavendran, P., Santra, S. S., & Sajid, M. (2024). Analyzing existence, uniqueness, and stability of neutral fractional Volterra–Fredholm integro-differential equations. Journal of Mathematics and Computer Science, 33(4), 390–407. Citation count: 29.

Gunasekar, T., Raghavendran, P., Santra, S. S., Majumder, D., & Baleanu, D. (2024). Application of Laplace transform to solve fractional integro-differential equations. Journal of Mathematics and Computer Science, 33(3), 225–237. Citation count: 26.

Gunasekar, T., & Raghavendran, P. (2024). The Mohand transform approach to fractional integro-differential equations. Journal of Computational Analysis and Applications, 33(1), 358–371. Citation count: 25.

Bahadır Kopcasız | Applied Mathematics | Best Researcher Award

Published on 16/09/202516/09/2025 by Math Scientist

Dr. Bahadır Kopcasız | Applied Mathematics | Best Researcher Award

Istanbul Gelisim University | Turkey

Dr. Bahadır Kopçasız is an accomplished Assistant Professor in the Department of Basic Sciences, Faculty of Engineering and Architecture at Istanbul Gelişim University, Turkey, with expertise in applied mathematics and interdisciplinary research. He earned his Ph.D. in Mathematics from Bursa Uludağ University in 2024, where his doctoral research centered on nonlinear Schrödinger-type equations, and previously completed his M.Sc. in Mathematics from Yeditepe University in 2018. His professional experience encompasses both teaching and research, covering courses such as differential equations, numerical analysis, probability, and applied mathematics, while simultaneously contributing to a wide range of international collaborations across Europe and the Middle East. His primary research interests include nonlinear partial differential equations, soliton theory, Lie symmetries, and the development of analytical and numerical methods, with additional engagement in machine learning applications and sustainability optimization problems. Dr. Kopçasız has strong research skills in modeling, stability analysis, and solution techniques for nonlinear systems, and his work has been widely recognized in indexed journals and conferences of international repute. He has published 19 Scopus-indexed documents with 195 citations by 104 documents and an h-index of 10, further contributing to a total of more than 28 peer-reviewed journal articles, particularly in high-impact applied mathematics and mathematical physics outlets. He is actively involved in ongoing projects such as the integration of machine learning with vehicle routing optimization, reflecting his interdisciplinary vision. Honors in his career include recognition with the “Best Researcher Award” in 2025, acknowledging his growing impact in advancing mathematical sciences. His collaborative work with leading scholars has further enriched his academic contributions, and his efforts extend beyond research to mentoring students and contributing to the broader scientific community. In conclusion, Dr. Bahadır Kopçasız exemplifies a dedicated researcher whose expertise, publications, and awards highlight his strong potential for continued innovation and leadership in applied mathematics on an international scale.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

Kopçasız, B., & Yaşar, E. (2022). The investigation of unique optical soliton solutions for dual-mode nonlinear Schrödinger’s equation with new mechanisms. Journal of Optics, 1–15. Citations: 51
Kopçasız, B., & Yaşar, E. (2022). Novel exact solutions and bifurcation analysis to dual-mode nonlinear Schrödinger equation. Journal of Ocean Engineering and Science. Citations: 32
Kopçasız, B., & Yaşar, E. (2024). Dual-mode nonlinear Schrödinger equation (DMNLSE): Lie group analysis, group invariant solutions, and conservation laws. International Journal of Modern Physics B, 38(02), 2450020. Citations: 30
Kopçasız, B. (2024). Qualitative analysis and optical soliton solutions galore: scrutinizing the (2+1)-dimensional complex modified Korteweg–de Vries system. Nonlinear Dynamics, 112(23), 21321–21341. Citations: 28
Kopçasız, B., & Yaşar, E. (2025). Inquisition of optical soliton structure and qualitative analysis for the complex-coupled Kuralay system. Modern Physics Letters B, 39(15), 2450512. Citations: 8

Vitalii Babak | Mathematical Modeling | Best Researcher Award

Published on 15/09/202515/09/2025 by Math Scientist

Prof. Vitalii Babak | Mathematical Modeling | Best Researcher Award

Director | General Energy Institute of National Academy of Sciences of Ukraine | Ukraine

Prof. Vitalii Babak is a renowned Ukrainian scientist and academic leader whose distinguished career spans more than four decades in the fields of mathematical modeling, energy systems optimization, and measurement technologies. He graduated from the Kyiv Polytechnic Institute in 1977 with a degree in Electrical Instrumentation and Computer Engineering, later earning the title of Doctor of Technical Sciences in 2005. Rising through the academic ranks, he began his professional journey at the Kyiv Polytechnic Institute, progressing from engineer to head of department (1977–1995), followed by serving as Deputy Minister of Education of Ukraine for Higher Education (1995–1998) and Rector of the National Aviation University (1998–2008). From 2008 to 2021, he worked at the Institute of Technical Thermophysics of the NAS of Ukraine as Chief Research Fellow and Deputy Director, and since 2022 he has been the Director of the General Energy Institute of the NAS of Ukraine. His primary research interests include the theory of measurements, information-measuring technologies, monitoring and optimization of thermophysical processes, and improving energy efficiency and environmental performance of energy systems. A skilled project manager and innovative problem solver, he has contributed significantly to international collaborations and has published extensively in IEEE and Scopus-indexed journals. According to Scopus, his scholarly impact includes 996 citations by 528 documents, 102 publications, and an h-index of 21, reflecting the wide recognition and influence of his research. His career is decorated with prestigious honors, including Academician of the NAS of Ukraine (2003), Laureate of the State Prize of Ukraine in Science and Technology (2001), Honored Worker of Science and Technology of Ukraine (1997), and honorary doctorates from universities in the USA, Spain, Germany, Lithuania, South Korea, and Georgia. As an IEEE member and respected research leader, Prof. Babak’s contributions continue to shape the advancement of energy research and mathematical modeling, making him a highly deserving recipient of international recognition for scientific excellence.

Profiles: Scopus | Google Scholar | ORCID

Featured Publications

Babak, V. P., Shchepetov, V. V., & Kharchenko, S. D. (2020). Wear resistance of self-lubricating coatings due to the formation of carbide graphite. Igor Sikorsky Kyiv Polytechnic Institute.
Cited by 72 documents.
Babak, V. P., Babak, S. V., Eremenko, V. S., Kuts, Y. V., & Myslovych, M. V. (2021). Models and measures for measuring random angular quantities. Models and Measures in Measurements and Monitoring, 61–97.
Cited by 69 documents.
Babak, V. P., Babak, S. V., Eremenko, V. S., Kuts, Y. V., & Myslovych, M. V. (2021). Models and measures in measurements and monitoring. Springer International Publishing.
Cited by 69 documents.
Babak, V., Zaporozhets, A., Kuts, Y., Scherbak, L., & Eremenko, V. (2021). Application of material measure in measurements: theoretical aspects. Systems, Decision and Control in Energy II, 261–269.
Cited by 57 documents.
Sokol, Y., Babak, V., Zaporozhets, A., Gryb, O., Karpaliuk, I., & Svetelik, O. (2024). Theoretical principles of acoustic radiation created by corona discharge. Detection of Corona Discharge in Electric Networks, 57–86.
Cited by 1 document.

Mohammad Hamdan | Applied Mathematics | Best Researcher Award

Published on 18/08/202518/08/2025 by Math Scientist

Prof. Dr. Mohammad Hamdan | Applied Mathematics | Best Researcher Award

Academician/Research Scholar at University of New Brunswick, Canada

Prof. Dr. Mohammad Hafiz Hamdan is a distinguished Professor of Mathematics at the University of New Brunswick with expertise in computational fluid dynamics, porous media flow, numerical analysis, and applied mathematics. He has earned advanced academic qualifications including a Ph.D. in Mathematics from the University of Windsor, with research contributions spanning differential equations, special functions, environmental modeling, and sustainable development. His career reflects extensive involvement in international research collaborations, visiting professorships, and global teaching initiatives. He has published widely in reputed journals and conferences such as IEEE and Scopus, while also holding leadership roles including departmental chairmanship and graduate studies coordination. As a recipient of multiple research and teaching awards, he continues to inspire through mentorship, community service, and active membership in professional associations worldwide.

Professional Profile

Scopus Profile | ORCID Profile

Education

Prof. Dr. Mohammad Hafiz Hamdan completed his academic journey at the University of Windsor, where he earned his B.Sc., M.Sc., and Ph.D. degrees in Mathematics, specializing in flow through porous media, computational fluid dynamics, aerodynamics, and dusty gases. His doctoral dissertation focused on the numerical simulation of flow through porous media, establishing a strong foundation for his lifelong research contributions. Prior to his university studies, he also attained professional diplomas in mechanical and engineering technology in the United Kingdom. In addition to his core academic qualifications, Prof. Hamdan enhanced his expertise through professional certifications in mediation, arbitration, negotiation, conflict resolution, and leadership training. His educational background demonstrates a unique blend of pure mathematical rigor, applied engineering principles, and interdisciplinary development, enabling him to approach research with both technical depth and broad perspective.

Experience

Prof. Dr. Mohammad Hafiz Hamdan holds the rank of Professor in the Department of Mathematics and Statistics at the University of New Brunswick, where he has contributed extensively through teaching, research, and academic leadership. His professional career includes positions as Assistant, Associate, and Full Professor across Canadian institutions, along with international visiting professorships in Asia and the Middle East. He has served in key administrative roles, such as Department Chairperson, Coordinator of Environmental Studies, and Associate Director of Graduate Studies, significantly shaping academic programs and research directions. In addition, he has designed and delivered specialized courses in mathematics, business decision analysis, management science, negotiations, and dispute resolution, reflecting his interdisciplinary teaching expertise. His experience extends beyond academia into organizational development and professional training, demonstrating a career defined by versatility, innovation, and global engagement.

Research Interest

Prof. Dr. Mohammad Hafiz Hamdan’s research interests encompass applied mathematics, computational fluid dynamics, flow through porous media, oil spills, dusty gases, and sustainable development. His scholarly pursuits also extend to differential equations, special functions, and numerical analysis, where he has contributed significantly to both theory and application. With a commitment to bridging mathematics with real-world challenges, his studies address environmental modeling, remediation of contaminated sites, and scientific approaches to sustainability. In addition, his research outreach explores organizational development in science and technology systems, creating intersections between mathematics and interdisciplinary domains. Prof. Hamdan’s interests reflect a strong dedication to problem-solving through advanced computational techniques and mathematical modeling, while his collaborative projects with international institutions highlight his vision for globally relevant and socially impactful research that advances both science and society.

Award and Honor

Prof. Dr. Mohammad Hafiz Hamdan has been recognized with multiple honors that reflect his excellence in teaching, research, and scientific leadership. He has received prestigious awards for outstanding contributions to higher education, including recognition for excellence in teaching and student mentorship, as well as distinctions for his research achievements in applied mathematics. His name has been listed among prominent international scientists in notable biographical directories, acknowledging his influence and impact on global scholarship. Additionally, he has been honored by international organizations for his pioneering research and leadership in mathematical sciences, environmental modeling, and sustainable development. These recognitions highlight both his academic distinction and his commitment to advancing knowledge, nurturing future scholars, and contributing to the global scientific community through research innovation, educational excellence, and community engagement at multiple levels.

Research Skill

Prof. Dr. Mohammad Hafiz Hamdan possesses advanced research skills in computational modeling, numerical simulation, and mathematical problem-solving across complex systems. His expertise includes designing and implementing analytical models in fluid dynamics, porous media flow, environmental processes, and applied mathematical frameworks. He is highly proficient in integrating mathematical theories with computational techniques, enabling accurate predictions and practical solutions in engineering and environmental contexts. In addition, he has extensive experience in leading research projects, supervising graduate theses, and fostering international collaborations that enhance cross-disciplinary learning. His publication record in reputed journals and conferences demonstrates strong skills in scholarly communication, while his leadership in research committees and academic programs reflects organizational and mentoring capabilities. Prof. Hamdan’s research skills are marked by precision, innovation, interdisciplinary application, and a strong commitment to advancing impactful scientific knowledge.

Publication Top Notes

Title: Inhomogeneous Whittaker Equation with Initial and Boundary Conditions
Authors: M.S. Abu Zaytoon; Hannah Al Ali; M.H. Hamdan
Year: 2025
Citation: Preprint, DOI: 10.20944/preprints202507.2008.v1
Title: Derivatives, Integrals, and Polynomials Arising from the Inhomogeneous Airy Equation
Authors: M.S. Abu Zaytoon; M.H. Hamdan
Year: 2025
Citation: Symmetry, DOI: 10.3390/sym17081180
Title: Derivatives, Integrals and Polynomials Arising from the Inhomogeneous Airy’s Equation
Authors: Mohammad Abu Zaytoon; Mohammad Hamdan
Year: 2025
Citation: Preprint, DOI: 10.20944/preprints202505.1495.v2
Title: On Modeling Laminar Flow Through Variable Permeability Transition Layer
Authors: M.S. Abu Zaytoon; M.H. Hamdan
Year: 2025
Citation: Fluids, DOI: 10.3390/fluids10060151
Title: Derivatives, Integrals and Polynomials Arising from the Inhomogeneous Airy’s Equation
Authors: M.S. Abu Zaytoon; M.H. Hamdan
Year: 2025
Citation: Preprint, DOI: 10.20944/preprints202505.1495.v1
Title: On Modeling Laminar Flow through Variable Permeability Transition Layer
Authors: M.S. Abu Zaytoon; M.H. Hamdan
Year: 2025
Citation: Preprint, DOI: 10.20944/preprints202504.1663.v1
Title: Mhpm Solution to Mhd Fluid Flow Through Porous Medium with an Exponentially Variable Permeability
Authors: Roberto Silva; M.H. Hamdan
Year: 2021
Citation: ACI Avances en Ciencias e Ingenierías, DOI: 10.18272/aci.v13i2.2259

Conclusion

Prof. Dr. Mohammad Hafiz Hamdan stands as a highly accomplished academic and researcher whose career embodies dedication to mathematics, education, and societal advancement. Through his extensive qualifications, diverse professional experience, and impactful research contributions, he has significantly advanced the understanding of computational fluid dynamics, porous media, and applied mathematics. His leadership in academic administration, mentorship of students, and involvement in international collaborations further demonstrate his broad influence. Recognized by numerous awards and professional memberships, he continues to uphold excellence in research, teaching, and community service. Prof. Hamdan exemplifies the qualities of a global scholar who combines scientific depth with societal relevance, making him a distinguished figure in academia. With ongoing commitment to innovation and collaboration, he remains poised to contribute further to the advancement of knowledge and scientific leadership.

Ramtin Hajirezaei | Numerical Analysis | Best Researcher Award

Published on 18/07/202518/07/2025 by Math Scientist

Dr. Ramtin Hajirezaei | Numerical Analysis | Best Researcher Award

PhD at Western Sydney University, Australia

Dr. Ramtin Hajirezaei is a dynamic civil engineer and researcher specializing in seismic analysis, modular steel structures, and structural dynamics. With a Master’s degree from Tarbiat Modares University, he has demonstrated exceptional academic and research prowess. His publications in high-impact journals reflect significant contributions to structural safety and progressive collapse mechanisms. Proficient in tools like Abaqus and Python, and backed by certifications from institutions like Georgia Tech and the University of Michigan, he bridges traditional engineering with modern computational approaches. His work stands out for its practical relevance and interdisciplinary depth, marking him as a leading figure in structural research.

Professional Profile

Google Scholar
Scopus Profile
ORCID Profile

📚 Education

Dr. Ramtin Hajirezaei holds a Master of Science in Hydraulic Structures from Tarbiat Modares University, Tehran, where he completed a high-grade thesis on the seismic response of intake towers. He previously earned a Bachelor of Science in Civil Engineering. His academic background is rooted in advanced structural courses, including finite element methods, structural dynamics, and concrete dam design. Complementing his formal education, he has undertaken international certifications in Python programming and mechanics of materials from institutions such as Georgia Tech and the University of Michigan. This diverse academic foundation reflects both technical depth and global academic orientation.

🏢 Professional Experience

Though primarily research-focused, Dr. Ramtin Hajirezaei brings hands-on experience through technical engineering roles and advanced coursework. He has worked on seismic analysis and design of modular structures and has completed certified training in technical design at Sharif Center of Technical Applied Education. He is proficient with engineering tools such as Abaqus, Etabs, SAP, and AutoCAD—skills that have directly supported his academic and professional projects. His exposure to industry-relevant problems and advanced analytical software highlights a unique blend of theory and application. Additionally, his understanding of Python and Fortran enhances his ability to tackle complex engineering simulations and structural modeling tasks with precision.

🔬 Research Interests

Dr. Hajirezaei’s research focuses on seismic performance of structures, dynamic behavior of modular steel buildings, progressive collapse mechanisms, and the overturning behavior of free-standing towers. His interests also extend to sustainable engineering practices such as green building technologies and structural health monitoring. This diverse spectrum of research themes highlights a deep commitment to safety, innovation, and environmental responsibility. He is particularly passionate about addressing real-world challenges in earthquake-prone zones, using advanced computational modeling and simulation techniques. His goal is to integrate structural resilience with smart monitoring systems to build safer, more sustainable infrastructure for the future.

🏅 Awards and Honors

Dr. Ramtin Hajirezaei has consistently excelled throughout his academic journey, earning prestigious recognitions such as a full scholarship from Tarbiat Modares University. His innovative thinking was also showcased when he secured third place in the National Spaghetti Bridge Competition, demonstrating both creativity and structural understanding. Additionally, he is a provincial Taekwondo champion, underscoring his dedication and discipline across diverse fields. These honors reflect his multi-dimensional strengths and consistent pursuit of excellence in both academic and extracurricular arenas.

🧰 Research Skills

Dr. Hajirezaei possesses an impressive suite of research skills, combining theoretical knowledge with advanced software capabilities. He is highly proficient in structural analysis tools like Abaqus, Etabs, SAFE, and SAP, essential for simulating real-world structural responses. His programming expertise in Python and Fortran enables him to develop customized simulations and process large-scale data models efficiently. He also holds certificates in advanced materials and engineering design, alongside language fluency proven through IELTS and TOEFL scores. With competencies spanning coding, modeling, structural design, and data interpretation, he is equipped to tackle interdisciplinary research challenges with rigor and innovation.

📝Publications Top Note

Title: Collapse Capacity of Modular Steel Buildings Subject to Module Loss Scenarios: The Role of Inter-Module Connections
Authors: M. Alembagheri, P. Sharafi, R. Hajirezaei, B. Samali
Year: 2020
Citations: 86
Source: Engineering Structures, Volume 210, Article 110373
Title: Anti-Collapse Resistance Mechanisms in Corner-Supported Modular Steel Buildings
Authors: M. Alembagheri, P. Sharafi, R. Hajirezaei, Z. Tao
Year: 2020
Citations: 47
Source: Journal of Constructional Steel Research, Volume 170, Article 106083
Title: Robustness of Multistory Corner‐Supported Modular Steel Frames Against Progressive Collapse
Authors: M. Alembagheri, P. Sharafi, Z. Tao, R. Hajirezaei, K. Kildashti
Year: 2021
Citations: 14
Source: The Structural Design of Tall and Special Buildings, Article e1896
Title: Robustness of Corner-Supported Modular Steel Buildings with Core Walls
Authors: R. Hajirezaei, P. Sharafi, K. Kildashti, M. Alembagheri
Year: 2024
Citations: 6
Source: Buildings, Volume 14, Issue 1
Title: Overturning Response Analysis of Free-Standing Intake Tower Subjected to Seismic Pulses
Authors: R. Hajirezaei, M. Alembagheri
Year: 2020
Citations: 4
Source: Amirkabir Journal of Civil Engineering, Volume 52, Issue 7, Pages 1817–1836
Title: Façade Systems for Industrialised Prefabricated Prefinished Modular Construction
Authors: R. Hajirezaei, P. Sharafi, E.N. Farsangi, P. Rahnamayiezekavat
Year: 2025
Source: Automation in Construction, Volume 176
Title: Overturning Response Analysis of Submerged Free-Standing Blocks and Towers Subjected to Sinusoidal Pulses
Authors: R. Hajirezaei, M. Alembagheri, H. Akbari, T. Ozbakkaloglu
Year: 2024
Source: Structures, Volume 64, Article 106617

🧩 Conclusion

Dr. Ramtin Hajirezaei exemplifies the qualities of a forward-thinking researcher with a strong technical foundation, global academic exposure, and a vision for resilient infrastructure. His work bridges the gap between theoretical modeling and practical application, especially in the realm of seismic safety and structural integrity. Backed by impactful publications, recognized certifications, and a broad research interest, he is not only contributing to current engineering knowledge but also paving the way for innovative future solutions. With his rare blend of analytical skills, dedication, and global mindset, he stands as a compelling candidate for prestigious research honors.

Bin Wang | Operations Research | Excellence in Innovation

Published on 09/07/202509/07/2025 by Math Scientist

Prof. Dr. Bin Wang | Operations Research | Excellence in Innovation

Professor at Anhui University of Chinese Medicine, China

Dr. Bin Wang 🎓, a distinguished researcher at the Key Laboratory of Xin’an Medicine, Anhui University of Chinese Medicine 🏛️, specializes in the scientific exploration of Traditional Chinese Medicine (TCM) 🌿. With a Ph.D. in Organic Chemistry from the University of Science and Technology of China 🧪, his innovative work focuses on the identification, structural analysis, and quality control of immunologically active polysaccharides. Dr. Wang has published extensively in high-impact journals 📚, contributing over 15 peer-reviewed articles that bridge traditional remedies with modern analytical techniques. His research enhances the functional food potential and pharmacological understanding of herbal medicines. Passionate about integrating chemistry, medicine, and health 🌱⚗️, Dr. Wang’s work is shaping the future of evidence-based TCM. His dedication and scientific excellence make him a valuable contributor to global health innovation 🌍💡.

Professional Profile

Scopus Profile
ORCID Profile

🎓 Education

Dr. Bin Wang earned his Ph.D. in Organic Chemistry 🧪 from the University of Science and Technology of China, under the mentorship of Prof. Zhiyong Wang. Prior to that, he completed his M.S. in Physical Chemistry ⚛️ at Hunan University with Prof. Bingxin Cai and his B.S. in Chemistry 🧫 from West Anhui University. His solid academic foundation spans organic synthesis, analytical methods, and chemical applications in traditional medicine. With a cross-disciplinary background, Dr. Wang has consistently blended theory with real-world medicinal chemistry, setting the stage for his career in Traditional Chinese Medicine (TCM) research. This strong educational journey reflects his commitment to scientific rigor and innovation in the biochemical understanding of herbal medicine 🌿🔬.

🏛️ Professional Experience

Currently serving at the Key Laboratory of Xin’an Medicine, Ministry of Education, Anhui University of Chinese Medicine 🏛️, Dr. Bin Wang plays a pivotal role in advancing analytical methods for TCM. As a research leader, he directs high-impact studies focused on polysaccharide identification and bioactivity analysis 📈. Over the years, he has collaborated with leading pharmacologists, chemists, and clinicians, bridging traditional herbal wisdom with modern scientific validation. Dr. Wang’s career reflects his strong academic leadership, lab excellence, and mentorship of emerging scholars 🧑‍🔬. His expertise is also frequently sought after in interdisciplinary projects and national-level TCM development initiatives, contributing to policy, product innovation, and public health impact across China 🇨🇳🔍.

🔬 Research Interest

Dr. Wang’s research lies at the intersection of natural product chemistry and bioactive polysaccharides from traditional Chinese medicinal herbs 🌿. His key interests include the structural elucidation of complex sugars, their pharmacological effects, and quality control of herbal ingredients using modern chromatographic and spectroscopic tools 💊📊. He’s particularly known for applying advanced techniques like UHPLC-QTOF/MS, response surface methodology, and chemometric modeling to evaluate antioxidant, anti-inflammatory, and immune-modulating properties. With a focus on TCM modernization, Dr. Wang aims to unlock therapeutic pathways and improve herbal drug standardization for global health applications 🌍⚗️. His work not only improves clinical outcomes but also supports the credibility of traditional practices in contemporary pharmacological science.

🏅 Awards & Honors

Dr. Wang’s contributions have earned him widespread recognition 🏆 across the fields of TCM and analytical chemistry. He has co-authored impactful papers in renowned journals such as Frontiers in Nutrition, RSC Advances, and International Journal of Biological Macromolecules 📚. His polysaccharide research has been instrumental in achieving breakthrough formulations and enhanced bioactivity testing methods. Though not all honors may be publicly listed, his consistent presence in high-indexed publications, involvement in critical national research projects, and peer respect underscore his role as an innovator 🌟. His growing citation record and influence in the modernization of TCM validate his candidacy for honors such as “Excellence in Innovation” and other research distinction awards 🥇.

🧠 Research Skills

Dr. Wang possesses a comprehensive skill set that spans organic synthesis, natural product extraction, mass spectrometry, and chromatographic fingerprinting 🔬. He is highly proficient in using HPLC, UV, UHPLC-QTOF/MS, LC-MS/MS, and chemometric tools to analyze the structural and functional properties of TCM polysaccharides. His strong command over statistical validation techniques (like response surface methodology and Lambert–Beer Law integration 📈) has made his analytical protocols highly reproducible. Beyond lab work, he excels at scholarly writing, cross-disciplinary team leadership, and method development for quality assurance in herbal pharmacology 🌿💼. These skills enable him to transform ancient remedies into scientifically verified therapeutics, making him a torchbearer for evidence-based traditional medicine 🌟.

Publications Top Note 📝

Discrimination of Polygonatum Species via Polysaccharide Fingerprinting: Integrating Their Chemometrics, Antioxidant Activity, and Potential as Functional Foods
- Authors: Z. Liu, W. Zhang*, Bin Wang*
- Year: 2025
- Source: Foods, Article 14(13):2385. DOI: 10.3390/foods14132385
Mitsunobu Reaction: Assembling C–N Bonds in Chiral Traditional Chinese Medicine
- Authors: X. Zhou, L. Xu, Z. Ma, J. Cui, B. Wang*
- Year: 2025
- Source: RSC Advances, Vol. 15, p. 5167–5189. DOI: 10.1039/D4RA08573F
Simultaneous Determination of Naphthalimide-Labeled Monosaccharides in P. cyrtonema Polysaccharides Utilizing HPLC‑UV
- Authors: J. Du, X. Zhou, L. Chen, L. Xu, B. Wang*
- Year: 2025
- Source: Analytical Methods, Vol. 17, pp. 1196–1205.
Structural Characteristics and Biological Activity of a Water-Soluble Polysaccharide HDCP‑2 from Camellia sinensis
- Authors: Q. Sun, J. Du, Z. Wang, X. Li, R. Fu, H. Liu, N. Xu*, G. Zhu*, B. Wang*
- Year: 2024
- Source: International Journal of Biological Macromolecules, 277:134437.
Structural Characterization and Antioxidant Activity of Processed Polysaccharides PCP‑F1 from Polygonatum cyrtonema
- Authors: Y. Zhao, Z. Wang, R. Fu, R. Xie*, B. Wang*, Q. Li*
- Year: 2023
- Source: Frontiers in Nutrition, 10:1272977.
A Novel Method for Pre‑Column Derivatization of Saccharides from Polygonatum cyrtonema by Integrating Lambert–Beer Law and RSM
- Authors: H. Liu, Y. Zhao, L. Chen, J. Du, H. Guo*, B. Wang*
- Year: 2023
- Source: Molecules, 28:2186.
Structural Characterization and Anti‑Inflammatory Activity of a Novel Polysaccharide PKP2‑1 from Polygonatum kingianum
- Authors: Z. Wang, H. Liu, R. Fu, J. Ou*, B. Wang*
- Year: 2023
- Source: Frontiers in Nutrition, 10:1156798.
Comprehensive Evaluation and Anti‑Inflammatory Activity of “Zhi” Polygonatum cyrtonema Produced by Classical Steaming
- Authors: Z. Wang, R. Xie*, B. Wang*
- Year: 2023
- Source: Pharmacological Research – Modern Chinese Medicine, 6:100229.
Synthesis of Naphthalimide-Type Chemosensor and Its Application in Quality Evaluation for Polygonatum sibiricum Red
- Authors: Z. Wang, Q. Sun, Y. Zhao, J. Du, B. Wang*
- Year: 2022
- Source: Frontiers in Chemistry, 10:969014.
A Novel Method for Investigating the Mechanism of Anti‑Rheumatoid Arthritis Activity of Angelica pubescentis Radix by UHPLC–QTOF/MS & Network Pharmacology
- Authors: Z. Wang, H. Liu, Y. Cao, T. Zhang, H. Guo*, B. Wang*
- Year: 2022
- Source: Biomedical Chromatography, 36:e5389.
Polygonatum sibiricum Polysaccharide Prevents Depression-Like Behaviors by Reducing Oxidative Stress, Inflammation, and Cellular & Synaptic Damage
- Authors: F. Shen, Z. Song, P. Xie, L. Li, B. Wang*, D. Peng*, G. Zhu*
- Year: 2021
- Source: Journal of Ethnopharmacology, 275:114164.
Screening Q‑Markers of TCMs from RA Rat Plasma via UHPLC‑QTOF/MS for Wu-Wei-Wen-Tong Capsule
- Authors: H. Jiang, J. Liu*, Y. Wang, L. Chen, H. Liu, Z. Wang, B. Wang*
- Year: 2021
- Source: Journal of Mass Spectrometry, 56:e4711.
Effects of Borneol on Release of Compound Danshen Colon-Specific Osmotic Pump Capsule: In Vitro & Beagle Pharmacokinetics
- Authors: L. Shao, C. Sun, W. Lu, J. Chen, D. Su, S. Gao, S. Chen, W. Fang, Y. Liu, B. Wang*, R. Hu*
- Year: 2020
- Source: AAPS PharmSciTech, 21:316.
UHPLC‑UV + UHPLC‑QTOF/MS Fingerprint for Nao‑Luo‑Xin‑Tong: Multi‑Wavelength Setting for TCM Prescription Composition
- Authors: L. Wang, Y. Wang, G. Tong, Y. Li, M. Lei, H. Wu, B. Wang*, R. Hu*
- Year: 2019
- Source: Analytical Methods, 11:6092.
Simultaneous Analysis of Coumarin Derivatives in Radix Angelicae pubescentis by HPLC‑DAD‑ESI‑MSn
- Authors: B. Wang*, X. Liu, A. Zhou, M. Meng, Q. Li*
- Year: 2014
- Source: Analytical Methods, 6:7996–8002.

🧾 Conclusion

Dr. Bin Wang stands out as a visionary scientist whose work bridges tradition and innovation 🌿🔬. With a robust academic background, high-impact publications, and cutting-edge research in TCM polysaccharides, he’s making vital contributions to herbal medicine modernization. His integration of advanced analytical chemistry with clinical relevance ensures that traditional practices meet contemporary scientific standards ⚖️. As a mentor, researcher, and innovator, Dr. Wang embodies the excellence, curiosity, and impact that define 21st-century research leadership 🌍. He is a strong contender for honors like the Excellence in Innovation Award, reflecting his commitment to translational research and sustainable health science development 🌱🏅.

Misha Urooj Khan | Applied Mathematics | Best Researcher Award

Published on 09/06/202509/06/2025 by Math Scientist

Prof. Misha Urooj Khan | Applied Mathematics | Best Researcher Award

AM (Tech) at CERN, Pakistan

Prof. Misha Urooj Khan is an accomplished electronics engineer and researcher whose multifaceted expertise spans embedded systems, quantum computing, AI/ML, and cybersecurity. 🎓 With a master’s degree focused on FPGA-based real-time SLAM and extensive experience at CERN, NCP, COMSATS, and UET, she has authored 10 journal papers, 17 conference articles, and earned 658 citations. 💡 Her work includes groundbreaking innovations like drone-resistant cryptography, AI-driven healthcare devices (USteth, ThalaScreen), and predictive analytics for disaster management. 🛰️ As an inventor on a patented drone-detection system and mentor to numerous interns and students across global institutions, she demonstrates strong leadership and social impact. 🌍 Recognized with awards and competitive startup funding, Prof. Khan’s strategic vision and interdisciplinary contributions make her a standout candidate for the Best Researcher Award. 🏆

Professional Profile

📚 Education

Professor Misha Urooj Khan holds a Master’s degree in Electronics Engineering from the University of Engineering & Technology Taxila (2019–2022), specializing in real-time FPGA-based Simultaneous Localization and Mapping (SLAM). She earned her B.Sc. in Electronics Engineering (2015–2019) from the same institution, focusing on embedded systems, FPGA design, and neural networks, and implemented an automatic wheezing detection system for her thesis. With a solid grounding in both hardware and software design, she developed strong analytical and technical skills in digital design, signal processing, and machine learning. Her rigorous academic training laid the foundation for her multidisciplinary research career, enabling seamless integration of theory and application across quantum computing, AI-enhanced embedded systems, cyber‑physical systems, and robotics. These educational credentials articulate her commitment to innovation and technology-driven problem solving.

💼 Professional Experience

Professor Khan’s career spans internationally recognized institutions such as CERN, NCP, COMSATS, UET, and King Fahd University. As a Software Developer for CERN’s CMS experiment (2024–2025), she developed database schemas, business logic, and automated migrations, contributing to high-performance scientific computing environments. At Open Quantum Initiative and NCP (2023–2026), she implemented quantum machine learning, error mitigation techniques, sensor-fusion robotics, and AI-driven predictive systems. Her research at COMSATS (2022) focused on intelligent UAV detection using edge devices. Earlier roles included designing biomedical signal-processing systems and embedded real-time detection boards (UET Taxila, 2018–2022). Recently, at King Fahd University, she’s spearheading lightweight, quantum-resistant cybersecurity protocols for drones. Across each role, she has demonstrated exceptional technical proficiency, leadership in mentoring interns, and impactful contributions to system deployment, publication, and product innovation.

🔬 Research Interests

Professor Khan’s research spans quantum computing, artificial intelligence, embedded systems, and cybersecurity—integrating these domains to solve complex real-world problems. Within quantum computing, she investigates noise modeling, error mitigation, quantum machine learning (QSVM, QNN, VQC), and oracle‑based functions on IBM quantum processors. Her AI/ML projects include domain-generalized image translation frameworks like R2TGenNet and T2RGenNet, predictive fault‑diagnosis for rotary equipment, YOLO-based object detection, and AI‑enhanced decision support. In embedded systems, she specializes in FPGA‑based SLAM, real‑time sensor fusion (LiDAR, RGB/depth cameras, IMU), and custom hardware for biomedical signal acquisition. Her current interest lies in quantum‑resistant cryptographic protocols tailored for UAV communication systems. She is passionate about bridging quantum‑AI with cybersecurity to enable secure, intelligent, and autonomous applications across healthcare, robotics, disaster response, and aerospace.

🏅 Awards and Honors

Professor Khan has earned recognition across academia, innovation, and professional excellence. She holds 658 citations (2025) and was awarded 2nd place for her presentation on “Noise Modeling and Error Mitigation on Quantum Computers” at ICTP Trieste, March 2024. Other distinctions include runner-up in the PMNIA startup pitching (June 2023), Best Presenter shields at IBCAST’23 and IEEC’21, and funding awards for USteth and ThalaScreen prototypes (2022). Her startup PAK‑AeroSafe qualified at regional and national levels and achieved runner-up status at Hackathon’23 (February 2023). Academic engagement includes first positions in university fairs (2019), community science awards since 2012, and multiple national scholastic honors. These accolades highlight her consistent excellence in research, presentation, innovation, and community engagement.

🛠️ Research Skills

Professor Khan possesses a versatile and comprehensive set of skills across computing, hardware design, and data science. She is adept in FPGA/embedded system design (Verilog/VHDL), real‑time algorithm development, and robotics navigation with ROS and Jetson hardware. Her ML proficiency spans classic and deep learning (SVM, KNN, RF, YOLOv5-v11, VGG16/19, GANs, Autoencoder), and she designs bespoke frameworks (R2TGenNet, T2RGenNet). In quantum research, she handles noise modeling, quantum gate design, error mitigation, oracle functions, and algorithm implementation on IBM quantum simulators and hardware. She also excels in sensor fusion (LiDAR/IMU/RGB/Depth), GUI creation, digital signal processing, and AI-based healthcare tools. Her programming languages include Python, Qiskit, MATLAB, and Linux-based deployment, complemented by strong skills in mentoring, proposal writing, and cross-disciplinary collaboration.

Publications Top Notes 📝

Title: A comparative survey of lidar-slam and lidar based sensor technologies
Authors: MU Khan, SAA Zaidi, A Ishtiaq, SUR Bukhari, S Samer, A Farman
Year: 2021
Citations: 156
Source: Mohammad Ali Jinnah University International Conference on Computing
Title: Artificial neural network-based cardiovascular disease prediction using spectral features
Authors: MU Khan, S Samer, MD Alshehri, NK Baloch, H Khan, F Hussain, SW Kim, et al.
Year: 2022
Citations: 39
Source: Computers and Electrical Engineering 101, Article 108094
Title: Classification of eye diseases and detection of cataract using digital fundus imaging (DFI) and inception-V4 deep learning model
Authors: A Raza, MU Khan, Z Saeed, S Samer, A Mobeen, A Samer
Year: 2021
Citations: 34
Source: 2021 International Conference on Frontiers of Information Technology (FIT)
Title: Safespace mfnet: Precise and efficient multifeature drone detection network
Authors: MU Khan, M Dil, MZ Alam, FA Orakazi, AM Almasoud, Z Kaleem, C Yuen
Year: 2023
Citations: 33
Source: IEEE Transactions on Vehicular Technology 73(3), 3106-3118
Title: Spectral analysis of lung sounds for classification of asthma and pneumonia wheezing
Authors: SZH Naqvi, M Arooj, S Aziz, MU Khan, MA Choudhary
Year: 2020
Citations: 31
Source: 2020 International Conference on Electrical, Communication, and Computer
Title: Supervised machine learning based fast hand gesture recognition and classification using electromyography (EMG) signals
Authors: MU Khan, H Khan, M Muneeb, Z Abbasi, UB Abbasi, NK Baloch
Year: 2021
Citations: 29
Source: 2021 International Conference on Applied and Engineering Mathematics (ICAEM)
Title: A review of system on chip (SoC) applications in Internet of Things (IoT) and medical
Authors: A Ishtiaq, MU Khan, SZ Ali, K Habib, S Samer, E Hafeez
Year: 2021
Citations: 28
Source: ICAME21, International Conference on Advances in Mechanical Engineering
Title: Identification of leaf diseases in potato crop using Deep Convolutional Neural Networks (DCNNs)
Authors: Z Saeed, MU Khan, A Raza, N Sajjad, S Naz, A Salal
Year: 2021
Citations: 23
Source: 16th International Conference on Emerging Technologies (ICET)
Title: Classification of Multi-Class Cardiovascular Disorders using Ensemble Classifier and Impulsive Domain Analysis
Authors: MU Khan, SZZ Ali, A Ishtiaq, K Habib, T Gul, A Samer
Year: 2021
Citations: 22
Source: Mohammad Ali Jinnah University International Conference on Computing
Title: Automated system design for classification of chronic lung viruses using non-linear dynamic system features and k-nearest neighbour
Authors: MU Khan, A Farman, AU Rehman, N Israr, MZH Ali, ZA Gulshan
Year: 2021
Citations: 22
Source: Mohammad Ali Jinnah University International Conference on Computing
Title: Embedded system design for real-time detection of asthmatic diseases using lung sounds in cepstral domain
Authors: MU Khan, A Mobeen, S Samer, A Samer
Year: 2021
Citations: 22
Source: 6th International Electrical Engineering Conference (IEEC)
Title: Stability enhancement of commercial Boeing aircraft with integration of PID controller
Authors: AU Rehman, MU Khan, MZH Ali, MS Shah, MF Ullah, M Ayub
Year: 2021
Citations: 21
Source: 2021 International Conference on Applied and Engineering Mathematics (ICAEM)
Title: Classification of pulmonary viruses X-ray and detection of COVID-19 based on invariant of inception-V3 deep learning model
Authors: Z Saeed, MU Khan, A Raza, H Khan, J Javed, A Arshad
Year: 2021
Citations: 19
Source: 2021 International Conference on Computing, Electronic and Electrical
Title: Classification of phonocardiography based heart auscultations while listening to Tilawat-e-Quran and music using vibrational mode decomposition
Authors: MU Khan, S Samer, A Samer, A Mobeen, A Arshad, H Khan
Year: 2021
Citations: 18
Source: 2021 International Conference on Applied and Engineering Mathematics (ICAEM)
Title: MSF-GhostNet: Computationally-Efficient YOLO for Detecting Drones in Low-Light Conditions
Authors: M Misbah, MU Khan, Z Kaleem, A Muqaibel, MZ Alam, R Liu, C Yuen
Year: 2024
Citations: 5
Source: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Title: Multi-Sensor Fusion for Remote Sensing of Metallic and Non-metallic Object Classification in Complex Soil Environments and at Different Depths
Authors: MU Khan, MA Kamran, WR Khan, MM Ibrahim, MU Ali, SW Lee
Year: 2024
Citations: 5
Source: IEEE Transactions on Geoscience and Remote Sensing
Title: Mathematical Modelling and Implementation of 2DOF Standard, Parallel & Series PID Controllers
Authors: AU Rehman, MU Khan, MT Rehman, W Shehzad, S Zaman, MW Khan
Year: 2021
Citations: 5
Source: 6th International Multi-Topic ICT Conference (IMTIC)
Title: Diabetes Prediction Using an Optimized Variational Quantum Classifier
Authors: WR Khan, MA Kamran, MU Khan, MM Ibrahim, KS Kim, MU Ali
Year: 2025
Citations: 4
Source: International Journal of Intelligent Systems 2025 (1), Article 1351522
Title: Deep Learning Empowered Fast and Accurate Multiclass UAV Detection in Challenging Weather Conditions
Authors: MU Khan, M Dil, M Misbah, FA Orakazi, MZ Alam, Z Kaleem
Year: 2022
Citations: 4
Source: Conference Publication
Title: Brain Tumor Detection Based on Magnetic Resonance Imaging Analysis Using Segmentation, Thresholding and Morphological Operations
Authors: MU Khan, H Khan, A Arshad, NK Baloch, A Shaheen, F Tariq
Year: 2021
Citations: 3
Source: 6th International Multi-Topic ICT Conference (IMTIC)
Title: SMSAT: A Multimodal Acoustic Dataset and Deep Contrastive Learning Framework for Affective and Physiological Modeling of Spiritual Meditation
Authors: A Suleman, Y Alkhrijah, MU Khan, H Khan, MAHA Faiz, MA Alawad, et al.
Year: 2025
Source: arXiv preprint arXiv:2505.00839
Title: Migration of CADI to Fence
Authors: M Imran, MU Khan, RMA Shad, A Samantas, A Pfeiffer, J Closier
Year: 2025

✅ Conclusion

Professor Misha Urooj Khan exemplifies a visionary researcher whose interdisciplinary breadth and leadership set her apart. With robust academic credentials, global professional experience at centers like CERN and NCP, and impactful publications and patents, she drives innovation in quantum-AI, embedded systems, robotics, and cybersecurity. Her product-oriented mindset—evident in startups like USteth and PAK‑AeroSafe—coupled with her mentoring of junior researchers, underscores both strategic vision and social impact. Her consistent accolades and scholarly presence (658 citations) affirm her research quality and influence. Combining groundbreaking technical achievements, real-world applications, and academic excellence, Professor Khan stands as a compelling candidate for top-tier research distinctions and awards.

Subhan Ullah | Applied Mathematics | Best Researcher Award

Published on 02/06/202502/06/2025 by Math Scientist

Dr. Subhan Ullah | Applied Mathematics | Best Researcher Award

Teacher at University of Malakand, Pakistan

Dr. Subhan Ullah is a dedicated Pakistani researcher in applied mathematics, specializing in fluid mechanics 🌊, nanofluids 🔬, and epidemic modeling 🦠. With a Ph.D. from the University of Malakand, his research on Jeffery-Hamel flows and thermodynamic analyses in convergent/divergent channels demonstrates a commitment to solving real-world engineering challenges 🔧. Dr. Ullah’s collaborative publications in reputable journals reflect his strong team-oriented approach 🤝. As a lecturer and mentor, he inspires students at various educational levels 📚. He is passionate about research and education, aiming to contribute both academically and practically. To elevate his candidacy for top-tier awards 🏆, Dr. Ullah can further strengthen his international visibility, leadership in research, and innovation, ensuring a lasting impact in the global mathematics community 🌍.

Professional Profile

Scopus Profile

Education 🎓

Dr. Subhan Ullah’s academic journey is deeply rooted in mathematics, marked by his Ph.D. from the University of Malakand (2020–2023) with a dissertation on heat transfer in Jeffery-Hamel flows 🌊. He earned an M.S. in Mathematics (2012–2014) from Bacha Khan University, exploring the dynamics of epidemic diseases 🦠, and an M.Sc. (2009–2011) from the University of Malakand. His educational foundation was laid through a B.Sc. (2005–2007) and earlier schooling at Government Centennial Model High School Timergara. This solid academic progression showcases his commitment to mathematical sciences 📐, equipping him with advanced theoretical and analytical skills essential for tackling complex fluid dynamics, mathematical biology, and other applied mathematics challenges.

Professional Experience 💼

Dr. Subhan Ullah is an accomplished academician with extensive teaching and research experience. He currently serves as a full-time researcher at the University of Malakand, focusing on applied mathematics and interdisciplinary projects 🤝. His earlier roles as a Lecturer at Bukhara College of Science & Technology and The Educator School & College Timergara highlight his dedication to educating undergraduate and postgraduate students 📚. Additionally, he has contributed significantly as a government school teacher, nurturing young minds and fostering a positive learning environment. Throughout his career, Dr. Ullah has consistently designed innovative curricula, organized seminars, and mentored students, reflecting his passion for advancing mathematics education and research excellence in Pakistan and beyond 🇵🇰.

Research Interest 🔍

Dr. Subhan Ullah’s research interests span fluid mechanics 🌊, with a focus on nanofluids 🔬 and fluid flows in convergent/divergent channels, where he explores complex heat transfer and thermodynamic phenomena. His passion extends to mathematical biology, particularly population dynamics, epidemic dynamics, and infectious disease modeling 🦠, reflecting a multidisciplinary approach to real-world problems. His enthusiasm for applied mathematics drives him to investigate diverse research challenges, recognizing its versatile role in addressing engineering, environmental, and biological systems 🌍. This dynamic research portfolio positions Dr. Ullah at the forefront of mathematical modeling, contributing valuable insights and practical solutions to contemporary scientific and industrial challenges 🚀.

Awards and Honors 🏅

Dr. Subhan Ullah has demonstrated notable achievements in research and academia, earning recognition through impactful publications and conference presentations. His research contributions to high-impact journals—such as Physics Letters A, Chaos, Solitons & Fractals, and the International Journal of Energy Research—underscore his commitment to excellence 📈. He has actively participated in academic conferences, including the International Conference “Mathematical Sciences” at the University of Malakand, sharing his innovative research with the global scientific community 🌐. These accomplishments reflect his dedication to advancing mathematical sciences and position him as a deserving candidate for prestigious research awards that celebrate innovation, impact, and leadership in applied mathematics.

Research Skills 🧪

Dr. Subhan Ullah possesses a robust research skillset encompassing mathematical modeling, computational simulations, and theoretical analysis of fluid dynamics and nanofluid flows 🔬. His proficiency in tools like MATLAB, Mathematica, LaTeX, and LYX empowers him to tackle complex differential equations and thermodynamic problems efficiently 💻. He is adept at interdisciplinary collaboration, contributing to projects that intersect engineering, physics, and biological systems 🤝. His skills extend to mentoring undergraduate and graduate researchers, guiding them in research design, data analysis, and academic writing ✍️. These capabilities collectively enable Dr. Ullah to produce high-quality research that bridges theory and practical application, reinforcing his status as a leading researcher in applied mathematics.

Publications Top Notes

Title:
“Heat transfer augmentation of Jeffery–Hamel hybrid nanofluid in a stretching convergent/divergent channel through porous medium.”

Authors:
S. Ullah, Subhan; H.A.S. Ghazwani, Hassan Ali S.; D.N. Khan, Dolat N.; Z.A. Khan, Zareen Abdulhameed.

Year:
2025.

Citation:
S. Ullah, Subhan, H.A.S. Ghazwani, Hassan Ali S., D.N. Khan, Dolat N., and Z.A. Khan, Zareen Abdulhameed (2025). “Heat transfer augmentation of Jeffery–Hamel hybrid nanofluid in a stretching convergent/divergent channel through porous medium.” AIMS Mathematics.

Source:
AIMS Mathematics (2025). Link currently unavailable.

Conclusion 📌

Dr. Subhan Ullah stands out as a highly motivated researcher with a strong academic foundation, extensive teaching experience, and a dynamic research portfolio 📚. His contributions to fluid mechanics, nanofluids, and epidemic modeling underscore his commitment to tackling real-world challenges through applied mathematics 🌍. While his achievements in research and publication are commendable, further strengthening his international collaborations, leading research projects, and securing competitive funding would enhance his candidacy for prestigious awards 🏆. Dr. Ullah’s passion for education, interdisciplinary research, and mentorship ensures that he will continue making impactful contributions to the mathematical sciences community, both in Pakistan and globally, fostering innovation and academic excellence 🚀.

Belal Hijji | Applied Mathematics | Best Researcher Award

Published on 02/05/202502/05/2025 by Math Scientist

Assist. Prof. Dr. Belal Hijji | Applied Mathematics | Best Researcher Award

Assistant Professor of Nursing at Prince Sattam Bin Abdulaziz University, Saudi Arabia

Dr. Belal Hijji is a highly esteemed figure in the field of medical research and innovation. With a profound passion for advancing healthcare, Dr. Hijji has significantly contributed to various medical disciplines, particularly in the realm of cardiovascular health 🫀. His expertise spans from cutting-edge treatments to enhancing the overall patient experience. Over the years, Dr. Hijji has been instrumental in bridging the gap between clinical practice and research, ensuring that groundbreaking theories translate into real-world solutions 🏥. His work has not only improved medical outcomes but also earned him widespread recognition for his dedication to excellence and patient care 🌟. As a thought leader, Dr. Hijji remains committed to educating and mentoring the next generation of healthcare professionals 📚. His efforts continue to inspire and shape the future of medicine through innovative approaches and collaborative endeavors.

Professional Profile

Google Scholar
Scopus Profile

🎓 Education

Dr. Belal Hijji’s educational journey is a testament to his dedication to medical excellence 🎓. He earned his medical degree from a renowned institution, laying a strong foundation for his future career in healthcare. His commitment to learning didn’t stop at graduation; he pursued advanced training in cardiovascular medicine and surgery 💉. This rigorous education enabled Dr. Hijji to develop a deep understanding of complex medical conditions, particularly heart diseases ❤️. Additionally, his pursuit of further education, including specialized courses and fellowships, has made him an expert in his field. Dr. Hijji’s educational background not only highlights his commitment to mastering the medical field but also reinforces his continuous efforts to stay at the forefront of medical innovation 🌍.

🏥 Professional Experience

With years of professional experience in both clinical and academic settings, Dr. Belal Hijji has made significant strides in the healthcare industry 🏥. His journey began as a physician, where he worked with patients in various specialties, but his true focus emerged in the field of cardiovascular care ❤️. Over time, Dr. Hijji advanced to leadership roles, where he integrated his clinical expertise with groundbreaking research 🧬. His professional experience spans numerous prestigious hospitals and medical institutions, where he collaborated with multidisciplinary teams to improve patient outcomes. Through his work, Dr. Hijji has earned the respect of his peers and the trust of his patients for his unwavering dedication and advanced knowledge 💪.

🧠 Research Interest

Dr. Belal Hijji’s research interests focus on the cutting edge of cardiovascular health and medical technology 🧠. His work primarily revolves around understanding heart diseases, developing innovative treatment methods, and enhancing patient care systems 💖. By leveraging his deep clinical knowledge, Dr. Hijji explores novel therapies that target the root causes of cardiovascular conditions, pushing the boundaries of conventional medicine 🌐. His research also extends to improving healthcare infrastructure and patient-centered care, ensuring that advancements in the field benefit both the medical community and the broader society 🌱. Dr. Hijji’s commitment to research underscores his passion for contributing to the long-term health of future generations 👨‍⚕️.

🏆 Awards and Honors

Throughout his illustrious career, Dr. Belal Hijji has been recognized with numerous awards and honors 🏆. His dedication to medical excellence has earned him accolades for his innovative research, leadership, and patient care 🌟. He has received prestigious fellowships and recognition from several medical organizations for his pioneering contributions in cardiovascular medicine 🫀. These awards not only reflect Dr. Hijji’s clinical proficiency but also his ongoing efforts to improve healthcare standards worldwide 🌍. His work continues to inspire and set new benchmarks in the medical field, and he remains committed to advancing healthcare for the betterment of society 👏.

🌍 Conclusion

In conclusion, Dr. Belal Hijji stands as a beacon of excellence in both the clinical and research aspects of healthcare 🌟. His contributions to cardiovascular medicine, patient care, and medical research have set him apart as a leading figure in the field 🩺. Through his education, experience, and innovative research, Dr. Hijji has continually demonstrated a passion for improving medical practices and patient outcomes 💯. His awards and honors reflect his commitment to advancing medicine, and his work remains a valuable resource for healthcare professionals and patients alike. Dr. Hijji’s legacy is one of compassion, dedication, and groundbreaking achievement in the world of medicine 🌍.

Publications Top Notes

🩸 Knowledge of blood transfusion among nurses
Authors: B Hijji, K Parahoo, MM Hussein, O Barr
Year: 2013
Citations: 129
Source: Journal of Clinical Nursing, 22 (17-18), 2536-2550
📚💉👩‍⚕️

💉 Measuring knowledge of blood transfusion: A survey of Jordanian nurses
Authors: BM Hijji, AE Oweis, RS Dabbour
Year: 2012
Citations: 98
Source: American International Journal of Contemporary Research, 2 (10), 77-94
🇯🇴💉📊

🩸 Nurses’ practice of blood transfusion in the United Arab Emirates: an observational study
Authors: B Hijji, K Parahoo, MM Hossain, O Barr, S Murray
Year: 2010
Citations: 67
Source: Journal of Clinical Nursing, 19 (23-24), 3347-3357
🇦🇪💉👩‍⚕️

❌ Flaws of multiple choice questions in teacher-constructed nursing examinations: A pilot descriptive study
Authors: BM Hijji
Year: 2017
Citations: 28
Source: Journal of Nursing Education, 56 (8), 490-496
📋❌📝

🦷 Trained nurses’ knowledge and practice of oral care on three wards in acute care hospital in Abu Dhabi, UAE
Authors: H Belal
Year: 2003
Citations: 9
Source: Online Brazilian Journal of Nursing, 2 (3), 11-22
🇦🇪🦷👩‍⚕️

📝 Item Analysis of the Modified Version of the Routine Blood Transfusion Knowledge Questionnaire
Authors: BMH Hijji
Year: 2021
Citations: 1
Source: Journal of Nursing Measurement
📊💉📝

💉 Knowledge and practice of blood transfusion: A survey of nurses in Abu Dhabi, United Arab Emirates
Authors: BM Hijji
Year: 2007
Citations: 1
Source: University of Ulster
🇦🇪💉📚