Chuanyu Sun | Motor Control | Best Researcher Award

Published on by Academic Achievements

Assist. Prof. Dr. Chuanyu Sun | Motor Control | Best Researcher Award 

Assist. Prof. Dr. Chuanyu Sun | Motor Control | Assistant Professor at Linyi University | China

Motor Control has been the central focus of Assist. Prof. Dr. Chuanyu Sun’s academic, research, and professional career, establishing him as a leading expert in high-power density motor controllers, mechatronics systems, and third-generation maglev artificial heart technology. Assist. Prof. Dr. Chuanyu Sun earned his Ph.D. in Mechatronics Engineering from Shandong University of Science and Technology, laying a strong foundation in advanced motor design, digital control systems, and intelligent automation. Since completing his doctoral studies, Assist. Prof. Dr. Chuanyu Sun has accumulated extensive teaching and research experience, initially serving in the School of Mechatronics Engineering at Shandong University of Science and Technology before joining the School of Automation and Electrical Engineering at Linyi University. Throughout his academic journey, Assist. Prof. Dr. Chuanyu Sun has cultivated expertise in both the theoretical and practical aspects of motor control, integrating principles of electrical engineering, embedded systems, and control theory into classroom instruction and laboratory research. His primary research interests include motor control for low-altitude aircraft, the development of digital twin collaborative monitoring and management software for motor systems, and the design of third-generation maglev artificial heart technology, with five major project grants supporting his innovations. Assist. Prof. Dr. Chuanyu Sun has also demonstrated proficiency in teaching complex subjects such as Electrical Control and PLC, Principle and Application of STM32 Microcomputer, Electrical and Electronic Technology, and Object-Oriented Programming, emphasizing practical skills using Siemens S7 PLC, Rockwell Micro850 PLC, STM32 microcontrollers, TMS320F28 DSP controllers, MATLAB, and advanced C# programming. Beyond teaching, Assist. Prof. Dr. Chuanyu Sun has led and participated in over 30 scientific research projects, six of which were government-supported at provincial or municipal levels as principal investigator, producing a significant body of scholarly work including 55 research and teaching papers (with 10 indexed by SCI, six by EI, one by ISTP, and one by CPCI), 18 authorized invention patents, 31 authorized utility model patents, and nine software copyrights. His dedication to professional excellence has earned him multiple awards, including the First Prize of Science and Technology of China General Chamber of Commerce, the Third Prize of Shandong Provincial Science and Technology Invention Award, the Second Prize of China National Coal Industry Science and Technology Award, and the Second Prize in both the Shandong Provincial College Teachers’ Teaching Innovation Competition and the 9th China Aviation Innovation and Entrepreneurship Competition. As a supervisor, Assist. Prof. Dr. Chuanyu Sun has guided 18 postgraduate students, with a mix of graduates, current students, and joint supervisees, while serving as an expert reviewer for undergraduate theses, national postgraduate evaluations, and international journals such as the American Journal of Applied Mathematics. His research skills are highly interdisciplinary, encompassing motor control design, real-time digital twin simulation, high-power drive optimization, mechatronics integration, advanced programming, and experimental validation, making him a sought-after expert for both academic and industrial collaborations. With membership in five major Chinese engineering and automation societies and extensive social service experience in seven corporations, Assist. Prof. Dr. Chuanyu Sun continues to contribute significantly to scientific advancement, industrial problem-solving, and education, cementing his reputation as a leader in motor control, mechatronics, and innovative technology development. In conclusion, Assist. Prof. Dr. Chuanyu Sun represents a unique blend of academic rigor, practical engineering expertise, and visionary leadership, making him a pivotal figure in advancing motor control technologies and fostering the next generation of engineering talent.

Profile: ORCID

Featured Publications 

  1. Sun, C. (2025). Enhanced Sliding-Mode Observer for Mechanical Parameter Estimation and Load Compensation in PMSM Drives. World Electric Vehicle Journal. 
  2. Sun, C. (2025). Performance Enhancement and Control Strategy for Dual-Stator Bearingless Switched Reluctance Motors in Magnetically Levitated Artificial Hearts. Electronics. 
  3. Sun, C. (2025). Performance Enhancement and Control Strategy for Dual-Stator Bearingless Switched Reluctance Motors in Magnetically Levitated Artificial Hearts.
  4. Sun, C. (2022). Design and Characteristic Analysis of a New Dual-Stator Bearingless Switched Reluctance Motor. IEEE Access. 
  5. Sun, C. (2022). Design and Terminal Sliding Mode Control of Double Stator Bearingless Switched Reluctance Motor. IEEE Access. 
  6. Sun, C. (2021). Control System Design for 16/6/8 Double-Stator Bearingless Switched Reluctance Motor. Mathematical Problems in Engineering.
  7. Sun, C. (2021). Characteristic Analysis of a New Double Stator Bearingless Switched Reluctance Motor. IEEE Access. 

 

Hao Xu | Intermetallics | Excellence in Research Award

Published on by Academic Achievements

Prof. Hao Xu | Intermetallics | Excellence in Research Award 

Prof. Hao Xu | Intermetallics | Professor at Nanjing University of Science and Technology | China

Intermetallics form the cornerstone of Prof. Hao Xu’s distinguished research career at Nanjing University of Science and Technology, where he has made significant contributions to the understanding, processing, and application of metallic and intermetallic materials. Prof. Hao Xu earned his B.S. degree from Northeastern University and subsequently completed his Ph.D. in Materials Processing Engineering at the Institute of Metal Research, Chinese Academy of Sciences, where he focused on phase transformation mechanisms, hot working, and microstructural evolution of advanced materials. Over the years, Prof. Hao Xu has developed a comprehensive research portfolio centered on the design, processing, and performance optimization of intermetallic compounds, including TiAl alloys and other high-performance metallic systems. His professional experience encompasses leadership roles as Principal Investigator on more than ten major research projects, where he guided interdisciplinary teams to explore phase transformation kinetics, recrystallization behavior, directional heat treatment effects, and grain structure evolution in metallic wires and intermetallic components. Prof. Hao Xu’s teaching and mentorship extend across undergraduate and graduate levels, where he integrates theoretical knowledge of materials science with practical experimental methods, enabling students to engage directly with cutting-edge research in intermetallics, metallurgy, and mechanical properties analysis. His research interests are highly focused on phase transformation, hot working, microstructure-property relationships, grain refinement, directional solidification, recrystallization processes, and the development of high-performance intermetallic materials for structural and functional applications. Prof. Hao Xu possesses advanced research skills in metallography, scanning and transmission electron microscopy, X-ray diffraction, thermal analysis, mechanical testing, computational modeling of microstructural evolution, and process optimization for intermetallic compounds. His prolific contributions include over ten peer-reviewed publications in high-impact journals such as the Journal of Materials Science & Technology and Corrosion Science, as well as more than ten authorized invention patents that underscore his innovative approach to material processing and performance enhancement. Prof. Hao Xu has also provided service to the academic community as Guest Editor for the special issue “Processing, Structure and Properties of TiAl Alloys” in Crystals and as Associate Editor for the special topic “Intermetallic Compounds” in Precision Forming Engineering, demonstrating his leadership and authority in the field of intermetallic research. His work has been recognized for its scientific impact and practical relevance, reflecting both rigorous experimental investigation and strategic application to engineering challenges. Prof. Hao Xu’s ongoing dedication to research excellence, interdisciplinary collaboration, and the advancement of intermetallic materials continues to influence the field, inspire emerging researchers, and provide critical insights into the structure–property relationships and processing strategies essential for the next generation of metallic and intermetallic materials. Through sustained innovation, scholarly contribution, and mentorship, Prof. Hao Xu has established a lasting legacy in the study and application of intermetallics, making him a leading authority in materials science and engineering.

Profile: ORCID

Featured Publications

  1. Xu, H. (2025). Study on the Secondary Recrystallization Process and Influencing Factors of 4N Pure Copper Wires.
  2. Xu, H. (2025). Mechanism of Grain Structure Formation in Pure Copper Wire During Directional Heat Treatment.
  3. Xu, H. (2025). Study on Microstructure Evolution and Influencing Factors of Pure Copper Wire After Directional Heat Treatment.

 

Ravi Maharjan | Pharmaceutics | Best Researcher Award

Published on by Academic Achievements

Dr. Ravi Maharjan | Pharmaceutics | Best Researcher Award

Dr. Ravi Maharjan | Pharmaceutics | Assistant Research Professor at Yonsei University | South Korea

Pharmaceutics is the foundation of Dr. Ravi Maharjan’s distinguished career as a research professor at Yonsei University, Korea, where he has been at the forefront of integrating AI/ML and Digital Twin technologies to revolutionize biopharmaceutical manufacturing, particularly in mRNA and siRNA-based lipid nanoparticle (LNP) vaccine development. Dr. Ravi Maharjan earned his PhD in Pharmaceutics and has since developed a deep expertise in biopharmaceutical process optimization, continuous manufacturing, lyophilization, stabilization strategies, and innovative delivery approaches targeting ocular and brain tissues. His professional experience spans extensive teaching, mentoring, and research leadership roles, where he has guided national and international collaborations with universities, pharmaceutical companies, and research institutions, including Pusan National University, CHA University, RCPE, RNAAnalytics Austria, and IMDEA Spain, demonstrating his ability to bridge academic research with industrial applications. Dr. Ravi Maharjan’s research interests focus on applying AI/ML algorithms for predictive modeling of complex pharmaceutical processes, optimizing formulations, ensuring protein stability, and enhancing the physical and biological stability of therapeutics. His work integrates pharmaceutics, process analytical technologies (PAT), quality by design (QbD), experimental design (DOE), and computational modeling to advance next-generation biopharmaceutical platforms. Among his key research skills are data-driven formulation design, predictive modeling, digital twin deployment, computational optimization of LNP delivery, lyophilized formulation screening, molecular simulation, process monitoring, and the translation of lab-scale research into continuous manufacturing systems. Dr. Ravi Maharjan has an impressive record of scholarly contributions, including over 23 SCIE Q1 publications, two books, two book chapters, more than 115 peer-review assignments, over 30 conference presentations, and eight invited talks. He has served as associate editor for Pharmaceutical Science and Technology (USA), editorial board member for Scientific Reports (Nature Portfolio, UK), Pharmaceutics (Switzerland), and Current Pharmaceutical Biotechnology (UAE), as well as conference organizer for multiple international events. His awards and honors recognize his contributions to both fundamental pharmaceutics and applied biopharmaceutical manufacturing, highlighting his excellence in research innovation and mentorship. Dr. Ravi Maharjan has demonstrated outstanding ability to secure funding, lead interdisciplinary projects, and foster scientific collaboration across countries and institutions, contributing to the advancement of mRNA and siRNA therapeutics, the optimization of excipients, and the improvement of drug delivery systems. His work on digital twins and AI/ML-driven process optimization has paved the way for predictive control in continuous manufacturing, ensuring reproducibility, efficiency, and quality in pharmaceutical production. In conclusion, Dr. Ravi Maharjan embodies the integration of scientific innovation, computational methods, and practical pharmaceutics expertise, making significant impacts in biopharmaceutical sciences, while continuing to mentor the next generation of researchers, drive technological innovation, and advance knowledge in AI-assisted pharmaceutical development.

Profile: Google Scholar

Featured Publications 

  1. Tripathi, J., Thapa, P., Maharjan, R., & Jeong, S. H. (2019). Current state and future perspectives on gastroretentive drug delivery systems. Citations: 246
  2. Maharjan, R., Hada, S., Lee, J. E., Han, H. K., Kim, K. H., Seo, H. J., Foged, C., … (2023). Comparative study of lipid nanoparticle-based mRNA vaccine bioprocess with machine learning and combinatorial artificial neural network-design of experiment approach. Citations: 48
  3. Maharjan, R., Kim, K. H., Lee, K., Han, H. K., & Jeong, S. H. (2024). Machine learning-driven optimization of mRNA-lipid nanoparticle vaccine quality with XGBoost/Bayesian method and ensemble model approaches. Citations: 44
  4. Maharjan, R., & Jeong, S. H. (2020). High shear seeded granulation: Its preparation mechanism, formulation, process, evaluation, and mathematical simulation. Citations: 37
  5. Bhujel, R., Maharjan, R., Kim, N. A., & Jeong, S. H. (2021). Practical quality attributes of polymeric microparticles with current understanding and future perspectives. Citations: 29
  6. Maharjan, R., Lee, J. C., Lee, K., Han, H. K., Kim, K. H., & Jeong, S. H. (2023). Recent trends and perspectives of artificial intelligence-based machine learning from discovery to manufacturing in biopharmaceutical industry. Citations: 28
  7. Kim, K. H., Lee, J. E., Lee, J. C., Maharjan, R., Oh, H., Lee, K., Kim, N. A., & Jeong, S. H. (2023). Optimization of HPLCCAD method for simultaneous analysis of different lipids in lipid nanoparticles with analytical QbD. Citations: 17

 

Shamadhani Begum | Fluid Simulation | Best Researcher Award

Published on by Academic Achievements

Dr. Shamadhani Begum | Fluid Simulation | Best Researcher Award

Dr. Shamadhani Begum | Fluid Simulation | Assistant Professor At Sri Krishna College Of Engineering And Technology | India

Dr. Shamadhani Begum A is an accomplished academician and researcher in the field of Mathematics, recognized for her strong expertise in engineering mathematics, fluid dynamics, nanofluid convection, porous media flow, and magnetohydrodynamic numerical modelling, built through an outstanding academic record and a continually evolving research portfolio. Dr. Shamadhani Begum A earned her Bachelor of Science in Mathematics with distinction, followed by a Master of Science in Mathematics with excellent academic performance, later advancing her scholarly journey through an M.Phil. in Mathematics with a dissertation focused on buoyancy-driven and surface-tension-driven convection influenced by magnetic fields, and subsequently completing her Ph.D. in Mathematics with a thesis on mixed convection analysis in non-Darcy porous enclosures using copper-based nanofluids with actively moving horizontal walls. Professionally, she has contributed significantly to higher education through her tenure as an Assistant Professor, serving at reputed engineering institutions, where she taught a wide spectrum of mathematical subjects including Engineering Mathematics I–IV, Linear Algebra, Probability and Statistics, Discrete Mathematical Structures, Differential Equations, Graph Theory, Number Theory, and Probability and Random Processes. Her professional responsibilities include classroom teaching, academic mentoring, research supervision, and delivering mathematical foundations to engineering students while contributing to departmental growth. Dr. Shamadhani Begum A holds official guideship recognition for supervising Ph.D. scholars under Anna University, reflecting her academic credibility and commitment to advanced research. Her research interests include nanofluid convection, mixed convection phenomena, MHD flows, porous media heat transfer, numerical simulation, and computational modelling, supported by strong technical skills in MS Office, LaTeX, Axum, Tecplot, C, Visual Basic, Oracle, Fortran, and R. She has completed numerous certifications including multiple NPTEL Elite and Elite+Silver recognitions in advanced mathematical subjects and computational methods, AICTE-ATAL training programs, more than 30 Coursera certifications, and several Infosys Springboard courses, demonstrating her dedication to continuous learning. Her research contributions are well-recognized internationally, with publications in prestigious journals addressing complex heat transfer and fluid flow problems in porous cavities, nanofluids, and magnetically influenced convection phenomena. She has received notable honors such as being certified as an NPTEL Discipline Star and being awarded JRF and SRF under the Basic Scientific Research Fellowship by the University Grants Commission, New Delhi. Beyond academia, she actively participates as a life member of the Indian Society for Technical Education and serves as a reviewer for Web of Science–indexed journals. Altogether, Dr. Shamadhani Begum A exemplifies scholarly excellence, professional dedication, and impactful research contributions, advancing the mathematical understanding of heat and fluid flow systems while inspiring future researchers through her academic leadership.

Profile: Google Scholar

Featured Publications 

  1. Begum, A. S., Nithyadevi, N., Oztop, H. F., & Abu-Hamdeh, N. Mixed convection analysis in heat transfer enhancement of a nanofluid-filled porous enclosure with various wall speed ratios. International Journal of Heat and Mass Transfer. (2017). Citations: 48
  2. Begum, A. S., Nithyadevi, N., Oztop, H. F., & Al-Salem, K. Numerical simulation of MHD mixed convection in a nanofluid-filled non-Darcy porous enclosure. International Journal of Mechanical Sciences. (2017). Citations: 37
  3. Nithyadevi, N., Begum, A. S., Oztop, H. F., & Al-Salem, K. Effects of inclination angle and non-uniform heating on mixed convection of a nanofluid-filled porous enclosure with active mid-horizontal moving wall. International Journal of Heat and Mass Transfer. (2017). Citations: 30
  4. Nagarajan, N., Öztop, H. F., Begum, A. S., & Al-Salem, K. Numerical analysis of effect of magnetic field on combined surface tension and buoyancy driven convection in partially heated open enclosure. International Journal of Numerical Methods for Heat & Fluid Flow. (2015). Citations: 11
  5. Nithyadevi, N., & Begum, A. S. Effect of magnetic field on mixed convection flow in a porous enclosure using nanofluids. International Journal of Applied and Computational Mathematics. (2017). Citations: 10
  6. Nithyadevi, N., Begum, A. S., & Shankar, C. U. Buoyancy and thermocapillary driven flows in an open cavity with bottom heating and symmetrical cooling from sides. International Journal of Heat and Technology. (2015). Citations: 8
  7. Begum, S., & Nithyadevi, N. Numerical study on the effect of magnetic field in a porous enclosure using nanofluid with mid-horizontal moving lid: Brinkman–Forchheimer extended Darcy model. Journal of Porous Media. (2018). Citations: 5

 

Christos Pennos | Geoarchaelogy | Best Researcher Award

Published on by Academic Achievements

Dr. Christos Pennos | Geoarchaelogy | Best Researcher Award

Dr. Christos Pennos | Geoarchaelogy | Associate professor at Aristotle University of Thessaloniki | Greece

Geoarchaeology, Dr. Christos Pennos is a distinguished geologist and karst specialist whose academic and professional journey reflects extensive expertise in geomorphology, speleology, and earth-surface processes, shaped through comprehensive university studies that culminated in a Bachelor’s degree in Geology, a Master of Science in Physical Geography and Geomorphology with a strong emphasis on GIS, and a Doctor of Philosophy focused on the landscape evolution of karstic environments through the morphological and sedimentological analysis of caves; over the course of his career, Dr. Christos Pennos has held a variety of academic and research positions including teaching roles in geology, geography, and related geoscience subjects for university students and candidates in professional training programs, as well as research appointments within leading academic institutions where he contributed to projects involving karst hydrogeology, cave geomorphology, speleogenetic processes, paleoclimate reconstruction, and geomorphological mapping; he has also provided expert consulting services for international scientific organizations, offering specialized support in drone deployment, remote sensing applications, karst terrain analysis, and advanced geomorphological interpretation, while earlier professional engagements with archaeological and paleoanthropological authorities strengthened his applied field skills in geological surveying, cave exploration, excavation, and geoarchaeological documentation; his research interests span karst geomorphology, cave sedimentology, tectonic geomorphology, speleology, subterranean microclimate and CO2 dynamics, mineral magnetic analyses, remote sensing, GIS-based landscape analysis, UAV photogrammetry, and geochronological applications in geomorphic studies; throughout his scientific trajectory he has contributed to numerous interdisciplinary research initiatives, including geoarchaeological investigations, cave sediment studies, tectonic and seismic geomorphology projects, cave monitoring technology development, and climate-related studies involving subterranean ice archives, collaborating with researchers across multiple countries and scientific institutions; Dr. Christos Pennos possesses strong research skills in geomorphological fieldwork, cave survey modeling, sediment sampling and laboratory analysis, magnetic susceptibility measurements, remote sensing data processing, geospatial analysis, and environmental reconstruction, complemented by extensive teaching experience in physical geography, fluvial geomorphology, speleological methods, and GIS applications; his professional record also includes co-supervision of postgraduate research projects, participation in academic committees, and contributions to scientific dissemination through conference presentations, collaborative publications, and technical reports; highly regarded within the karst research community, Dr. Christos Pennos continues to advance knowledge on karst landscapes and subterranean environments through innovative field methodologies, interdisciplinary research collaborations, and sustained commitment to scientific excellence. Geoarchaeology is a multidisciplinary field that integrates geological methods with archaeological research to interpret human–environment interactions, reconstruct past landscapes, and analyze the formation processes of archaeological sites.

Profile: Google Scholar

Featured Publications 

  • Pechlivanidou, S., Cowie, P. A., Hannisdal, B., Whittaker, A. C., Gawthorpe, R. L., … Pennos, C. (2017). Source‐to‐sink analysis in an active extensional setting: Holocene erosion and deposition in the Sperchios rift, central Greece. Citations: 47
  • Perşoiu, A., Buzjak, N., Onaca, A., Pennos, C., Sotiriadis, Y., Ionita, M., … others. (2021). Record summer rains in 2019 led to massive loss of surface and cave ice in SE Europe. Citations: 31
  • Rinaldi-Montes, N., Rowberry, M., Frontera, C., Baroň, I., Garcés, J., Blahůt, J., … Pennos, C. (2017). A contactless positioning system for monitoring discontinuities in three dimensions with geological and geotechnical applications. Citations: 17
  • Pennos, C., Lauritzen, S. E., Pechlivanidou, S., & Sotiriadis, Y. (2016). Geomorphic constrains on the evolution of the Aggitis River Basin Northern Greece (a preliminary report). Citations: 16
  • Lønøy, B., Pennos, C., Tveranger, J., Fikos, I., Vargemezis, G., & Lauritzen, S. E. (2021). Delimiting morphological and volumetric elements of cave surveys as analogues for paleokarst reservoir modelling: A case study from the Maaras cave system, northern Greece. Citations: 14
  • Pennos, C., Styllas, M., Sotiriadis, Y., & Vaxevanopoulos, M. (2018). Ice caves in Greece. Citations: 13
  • Psomiadis, D., Dotsika, E., Zisi, N., Pennos, C., Pechlivanidou, S., & Albanakis, K., … others. (2009). Geoarchaeological study of Katarraktes cave system (Macedonia, Greece): isotopic evidence for environmental alterations. Citations: 13
  • Lønøy, B., Tveranger, J., Pennos, C., Whitaker, F., & Lauritzen, S. E. (2020). Geocellular rendering of cave surveys in paleokarst reservoir models. Citations: 11

 

Gul Yucel | Pediatric Neurology | Best Researcher Award

Published on by Academic Achievements

Assoc. Prof. Dr. Gul Yucel | Pediatric Neurology | Best Researcher Award

Assoc. Prof. Dr. Gul Yucel | Pediatric Neurology | Doctor Lecturer at Inönü University Faculty of Medicine | Turkey

Assoc. Prof. Dr. Gul Yucel is an accomplished medical scholar and physician whose work spans pediatrics, neurology, internal medicine, and clinical research, recognized for her impactful contributions to understanding childhood epilepsy, neurodevelopmental disorders, and associated metabolic and psychosocial factors. Assoc. Prof. Dr. Gul Yucel completed her foundational medical education at Çukurova University Faculty of Medicine between 1992 and 1998, after which she advanced her medical training at İnönü University Faculty of Medicine, Department of Internal Medicine from 2001 to 2006, producing a notable thesis on serum insulin, leptin, ghrelin, GH, IGF-1, and IGFBP-3 levels in epileptic children treated with valproate. She later deepened her specialization at Gaziantep University Faculty of Medicine, Department of Internal Medicine from 2015 to 2018, continuously strengthening her academic and clinical expertise. Professionally, Assoc. Prof. Dr. Gul Yucel has served as a Doctor Lecturer and later as an Associate Professor at İnönü University Faculty of Medicine, where her academic duties since 2022 have focused on teaching, mentoring, and advancing research in child neurology, pediatric endocrinology, epileptology, and neuropsychiatric comorbidities. Her research interests include neuroendocrine biomarkers, seizure-related metabolic alterations, pediatric neuropsychiatric conditions, developmental encephalopathies, and the psychosocial burden of chronic neurological disorders on families. She possesses strong research skills in clinical data analysis, patient-based studies, neurodevelopmental assessment, and multidisciplinary diagnostic approaches. Assoc. Prof. Dr. Gul Yucel has earned recognition for her contributions through impactful publications and clinical excellence, contributing significantly to pediatric neurology literature. In conclusion, Assoc. Prof. Dr. Gul Yucel stands out as a dedicated academician whose research, teaching, and clinical practice continue to enrich the medical community, advancing scientific understanding and improving patient outcomes in childhood neurological and developmental disorders.

Profile: Google Scholar

Featured Publications

  1. Gungor, S., Yücel, G., Akinci, A., Tabel, Y., Ozerol, I. H., & Yologlu, S. (2007). The role of ghrelin in weight gain and growth in epileptic children using valproate. Journal of Child Neurology, 22(12), 1384–1388. Citations: 66.

  2. Ekici, N. Y., Görgülü, O., Yucel, G., Külahcı, Ö., Arıkan, O. K., & Durmaz, C. (2018). Can the number of eosinophils in adenoid and tonsil tissue determine the allergy in children? International Journal of Pediatric Otorhinolaryngology, 108, 35–39. Citations: 28.

  3. Yücel, G., Arslan, A. K., Özgör, B., & Güngör, S. (2023). Sleep quality and depression in mothers of children with epilepsy and its relation to their children’s sleep. Epilepsy & Behavior, 149, 109493. Citations: 5.

  4. Ekici, N. Y., Yucel, G., Haytoğlu, S., & Küllahci, Ö. (2018). A giant congenital soft tissue sinonasal fibromyxoma of the nose in a newborn baby. Journal of Craniofacial Surgery, 29(8), 2114–2115. Citations: 4.

  5. Yucel, G., Arslan, A. K., Ozgor, B., Sahin, M. C., Oncul, Y., Tasolar, S. D., Akyay, A., et al. (2024). Risk factors for acute symptomatic seizure in children with cerebral sinovenous thrombosis: Experience from a tertiary center. Clinical Neurology and Neurosurgery, 246, 108571. Citations: 3.

  6. Dilber, C., Yücel, G., & Şahin, Y. (2022). Novel homozygous AP3B2 mutations in four individuals with developmental and epileptic encephalopathy: A rare clinical entity. Clinical Neurology and Neurosurgery, 223, 107509. Citations: 3.

  7. Ozturk, K., Yucel, G., & Caksen, H. (2019). Menstruation related recurrent psychosis: A case report. Pediatric Practice and Research, 7(Ek), 191–194. Citations: 3.

 

Sihye Lee | Atmospheric Science | Best Researcher Award

Published on by Academic Achievements

Dr. Sihye Lee | Atmospheric Science | Best Researcher Award

Dr. Sihye Lee | Atmospheric Science | Senior Scientist at Korea Institute of Atmospheric Prediction Systems | South Korea

Sihye Lee, Ph.D., is a distinguished atmospheric scientist whose career spans advanced research in aerosol chemistry, optical properties, and data assimilation methodologies for weather and climate prediction. Throughout her academic journey, Sihye Lee, Ph.D., demonstrated exceptional expertise beginning with her B.S. and M.S. degrees in Environmental Science and Engineering from Ewha Womans University, followed by her Ph.D. in Earth and Environmental Sciences from Seoul National University, where she investigated the chemical and optical characteristics of black-carbon–containing aerosols and their hygroscopic behavior. Professionally, Sihye Lee, Ph.D., has built a solid career at the Korea Institute of Atmospheric Prediction Systems (KIAPS), serving as Research Scientist and later Senior Research Scientist in the Data Assimilation Group, contributing to the development of assimilation techniques crucial for improving atmospheric prediction accuracy. Her international scientific exposure includes serving as a Visiting Scientist at the European Centre for Medium-Range Weather Forecasts (ECMWF), where she worked within the Satellite Section on advanced assimilation frameworks. Sihye Lee, Ph.D., also gained applied environmental experience in atmospheric modeling during her tenure at Sambon Engineering and earlier research roles at the Korea Institute of Science and Technology (KIST). Her research interests span aerosol–cloud interactions, chemical composition of atmospheric particles, accumulation-mode aerosol properties, CCN activation processes, and seasonal variability in air quality. She is skilled in data assimilation systems, aerosol optical analysis, atmospheric chemistry modeling, and environmental data interpretation. The contributions of Sihye Lee, Ph.D., have earned her significant recognition, including an Administrator Citation from the Korea Meteorological Administration and a Minister Citation from the Ministry of Environment. In conclusion, Sihye Lee, Ph.D., continues to advance atmospheric prediction science through her deep technical expertise, impactful research output, and long-standing commitment to understanding aerosol behavior and improving environmental forecasting systems.

Profile: ORCID

Featured Publications 

  1. Lee, S., Ghim, Y. S., Kim, S.–W., & Yoon, S.–C. (2010). Effect of biomass burning and regional background aerosols on CCN activity derived from airborne in-situ measurements. Atmospheric Environment, 44, 5227–5236. 

  2. Lee, S., Ghim, Y. S., Kim, S.–W., & Yoon, S.–C. (2010). Effect of accumulation mode aerosols containing black carbon on water cloud formation observed during the PACDEX campaign. Journal of Korean Society for Atmospheric Environment, 26, 380–391. 

  3. Lee, S., Ghim, Y. S., Kim, S.–W., & Yoon, S.–C. (2009). Seasonal characteristics of chemically apportioned aerosol optical properties at Seoul and Gosan, Korea. Atmospheric Environment, 43, 1320–1328. 

  4. Lee, S., Ghim, Y. S., Kim, S.–W., & Yoon, S.–C. (2008). Seasonal variations of chemical composition and optical properties of aerosols at Seoul and Gosan. Journal of Korean Society for Atmospheric Environment, 24, 470–482. 

  5. Lee, S., Ghim, Y. S., Kim, Y. P., & Kim, J. Y. (2006). Estimation of the seasonal variation of particulate nitrate and sensitivity of fine particle mass concentration to emission changes in the greater Seoul area. Atmospheric Environment, 40, 3724–3736. 

  6. Ghim, Y. S., Moon, K.–C., Lee, S., & Kim, Y. P. (2005). Visibility trends in Korea during the past two decades. Journal of the Air & Waste Management Association, 55, 73–82. 

  7. Lee, S., Ghim, Y. S., Kim, Y. P., & Kim, J. Y. (2004). Seasonal variation of nitrate in the greater Seoul area using a photochemical box model and gas/aerosol equilibrium model. Journal of Korean Society for Atmospheric Environment, 20, 729–738. 

 

Yuwei Chen | Neurodegenerative | Best Researcher Award

Published on by Academic Achievements

Dr. Yuwei Chen | Neurodegenerative | Best Researcher Award

Dr. Yuwei Chen | Neurodegenerative | Assistant Professor at Xi’an Medical University | China

Dr. Yuwei Chen is a dedicated scholar in Food Science whose research focuses on nutrition, neurodegenerative disease mechanisms, and functional food interventions, demonstrating strong commitment to advancing public health through evidence-based nutritional strategies. She earned her Ph.D. in Food Nutrition from Northwest A&F University, where she further strengthened her scientific foundation following a Master’s degree in Food Science and Engineering at the same institution, including an academic exchange at the Institute of Food Science and Technology, National Taiwan University, and a Bachelor’s degree in Food Science and Engineering. Throughout her professional career, Dr. Yuwei Chen has served as a Lecturer in the Teaching and Research Section of Food Science and Engineering at the School of Public Health, Xi’an Medical University, developing expertise in experimental design, biochemical analysis, nutritional intervention models, and the study of systemic inflammation and amyloidogenesis in relation to neurodegenerative diseases. Her research interests include functional food factors, dietary bioactives, lipid metabolism, memory impairment mechanisms, and the health-promoting properties of plant-derived compounds. She possesses strong research skills in cell and animal model experimentation, nutritional biochemistry, molecular pathway analysis, and evaluation of bioactive food components, integrating these competencies to produce impactful research outputs. Dr. Yuwei Chen has authored several peer-reviewed publications in reputable journals, contributing to areas such as medium-chain fatty acids, plant sterols, green tea catechins, fat replacers, and anti-inflammatory food components. Her academic journey is further distinguished by recognition for research productivity and interdisciplinary collaborations, highlighting her commitment to scientific excellence. With continuous engagement in teaching, research supervision, and scholarly dissemination, Dr. Yuwei Chen remains focused on expanding her contributions to food science innovation, nutritional health interventions, and translational research that addresses emerging public health challenges, positioning her as a promising researcher dedicated to advancing the understanding of diet-related disease prevention and functional food development.

Profile: ORCID

Featured Publications 

Chen, Y. (2021). Medium chain fatty acids: Extraction, isolation, purification, bioactive properties and application. IOP Conference Series: Earth and Environmental Science.
Chen, Y. (2020). Green tea catechin: Does it lower blood cholesterol? IOP Conference Series: Earth and Environmental Science.
Chen, Y. (2020). Use of starch-based fat replacers in foods as a strategy to reduce dietary intake of fat and risk of metabolic diseases. Food Science & Nutrition.
Chen, Y. (2019). Is plant sterols a good strategy to lower cholesterol? Journal of Oleo Science.
Chen, Y. (2017). Sesamol supplementation prevents systemic inflammation-induced memory impairment and amyloidogenesis via inhibition of nuclear factor kappaB. Molecular Nutrition & Food Research.
Chen, Y. (2017). Chicoric acid supplementation prevents systemic inflammation-induced memory impairment and amyloidogenesis via inhibition of NF-κB. The FASEB Journal.
Chen, Y. (2017). Effects of sesamol on LPS-induced memory impairment and β-amylase accumulation (Master’s research output). Northwest A&F University.

 

Ainin Binti Sulaiman | Performance | Best Researcher Award

Published on by Academic Achievements

Prof. Dr. Ainin Binti Sulaiman | Performance | Best Researcher Award 

Prof. Dr. Ainin Binti Sulaiman | Performance | Professor at International University of Malaya-Wales | Malaysia

Prof. Dr. Ainin Binti Sulaiman is a highly accomplished academic leader, researcher, and technology-management expert whose career reflects excellence in scholarship, administration, and multidisciplinary innovation. Prof. Dr. Ainin Binti Sulaiman has served in significant leadership roles including Professor at the Faculty of Business, Head of the Research Management Centre, Dean of the Faculty of Business, and previously as Dean and Head of Department at renowned Malaysian universities, where she contributed extensively to accreditation exercises, strategic development, and research ecosystem strengthening. Prof. Dr. Ainin Binti Sulaiman holds a PhD from a leading UK institution, along with a Master in Business Administration and a Bachelor in Public Administration, demonstrating strong academic grounding. Her research interests span technology management, halal tourism and cosmetics, social economic impact assessment, social media analytics, digital transformation, and organizational performance. Prof. Dr. Ainin Binti Sulaiman possesses strong research skills in quantitative and qualitative methods, data analytics, big data interpretation, social media mining, survey design, impact evaluation, and interdisciplinary project management. She has produced more than one hundred publications in reputable international journals including Sustainability, Computers in Human Behavior, PLOS One, Quality and Quantity, IEEE Access, and Government Information Quarterly. Her research projects include major national and international collaborations on halal regulations, socio-economic impact studies, technology adoption, mosque tourism, broadband initiatives, and consumer analytics, reflecting broad scholarly impact. Prof. Dr. Ainin Binti Sulaiman has received numerous awards and honors such as Emeritus Professor recognition, Top Research Scientist Malaysia, Top 2% Global Scientist ranking, and university excellence awards for research and industrial grants. Throughout her career, she has supervised research teams, mentored junior scholars, presented at conferences, and contributed significantly to the advancement of knowledge within business and technology fields. In conclusion, Prof. Dr. Ainin Binti Sulaiman stands as a distinguished figure whose academic excellence, leadership capability, research productivity, and societal contributions continue to position her as an influential scholar committed to driving impactful research and innovation.

Profile: ORCID

Featured Publications

  1. Ainin, S., & Co-authors. (2026). Advancing sustainable technology adoption: Insights from SMEs in beauty, health, and wellness sectors. Sustainable Technology and Entrepreneurship.
  2. Ainin, S., & Co-authors. (2025). Assessing the causal relationship of remote work and employee productivity – a study of corporate Malaysia. Cogent Social Sciences.
  3. Ainin, S., & Co-authors. (2022). Muslim-friendly beauty and wellness framework and measurement. Cogent Social Sciences.
  4. Ainin, S., & Co-authors. (2021). Exploring halal tourism tweets on social media. Journal of Big Data.
  5. Ainin, S., & Co-authors. (2020). Sustaining innovative capabilities of light emitting diode (LED) manufacturers through dynamic entrepreneurship. Entrepreneurship and Sustainability Issues.
  6. Ainin, S., & Co-authors. (2020). Examining what people tweet in relation to halal cosmetics-related topics. Cogent Arts & Humanities.
  7. Ainin, S., & Co-authors. (2019). System- vs. consumer-generated recommendations: Affective and social-psychological effects on purchase intention. Behaviour & Information Technology.

Nadisah Zakaria | Finance | Best Researcher Award

Published on by Academic Achievements

Dr. Nadisah Zakaria | Finance | Best Researcher Award 

Dr. Nadisah Zakaria | Finance | Assistant professor at Prince Sultan University | Saudi Arabia

Dr. Nadisah Zakaria is an accomplished academic and researcher recognized for her strong contributions across multidisciplinary domains in science and technology. She holds an impressive educational background, completing her undergraduate and postgraduate studies with a focus on advanced scientific research, followed by a doctoral degree that strengthened her expertise and established her as a specialist in her field. Throughout her professional journey, Dr. Nadisah Zakaria has served in various academic and institutional roles, contributing to teaching, research supervision, and project leadership while collaborating with national and international research groups. Her research interests span modern interdisciplinary areas, emphasizing innovation, applied sciences, and emerging technologies with a commitment to producing impactful and relevant scientific knowledge. Dr. Nadisah Zakaria possesses advanced research skills including experimental design, data analysis, academic writing, project management, and the use of specialized laboratory and analytical tools, enabling her to conduct high-quality investigations that contribute meaningfully to the academic community. Over the years, she has received multiple awards and honors in recognition of her research excellence, scholarly achievements, and professional service, reflecting her dedication and influence in academia. As a respected researcher, mentor, and contributor to scientific advancement, Dr. Nadisah Zakaria continues to drive forward new knowledge, inspire upcoming scholars, and support the development of impactful research. In conclusion, Dr. Nadisah Zakaria stands as an exemplary figure whose academic journey, research expertise, and professional service collectively demonstrate her commitment to innovation, scientific progress, and educational excellence.

Profile: Google Scholar

Featured Publications 

  1. Foong, S. S., Zakaria, N. B., & Tan, H. B. (2007). Firm performance and dividend-related factors: The case of Malaysia. 98 citations.
  2. Kamaludin, K., & Zakaria, N. (2019). The short and long-run performance of Sharia-compliant initial public offerings (IPOs) in the emerging market: Evidence from the Saudi Arabia Share Market. 18 citations.
  3. Zakaria, N., & Kamaludin, K. (2018). The short-and-long run performance of mergers and acquisitions: Evidence from Tadawul. 18 citations.
  4. Zakaria, N., & Hashim, F. (2017). Emerging markets: Evaluating Graham’s stock selection criteria on portfolio return in Saudi Arabia stock market. 18 citations.
  5. Foo, S. M., Ab Razak, N. H., Kamarudin, F., Azizan, N. A. B., & Zakaria, N. (2025). Islamic versus conventional financial market: A meta-literature review of spillover effects. 11 citations.
  6. Ho, L. S., Zakaria, N. B., & Foo, S. M. (2024). The impact of social media marketing activities on customer purchase intention: A study of the property industry in Malaysia. 11 citations.
  7. Zakaria, N., Ali, Z., & Awang, M. Z. (2019). White land tax: Evidence in the Kingdom of Saudi Arabia. 11 citations.