Farhad Zare | Biomechanics | Best Researcher Award

Mr. Farhad Zare | Biomechanics | Best Researcher Award

Shiraz University, Iran

Farhad Zare is a highly promising candidate for the Best Researcher Award, showcasing strong academic and research credentials in mechanical engineering and computational fluid dynamics (CFD). With a solid educational background from top Iranian universities and a series of peer-reviewed publications focusing on biomedical airflow, nasal drug delivery, and respiratory aerosol dynamics, his work bridges engineering with public health innovation. Farhad has demonstrated advanced numerical modeling skills using industry-standard tools like Ansys and OpenFOAM, complemented by experimental work and mentoring experience. His research addresses real-world challenges, such as targeted drug delivery and air quality impacts, reflecting both scientific rigor and societal relevance. As an active member of the academic and volunteer communities, he has also shown commitment to education and humanitarian service. While currently pursuing Ph.D. opportunities, Farhad’s growing publication record, technical expertise, and interdisciplinary contributions make him a strong contender for recognition as an emerging research leader.

Professional Profile 

Education🎓

Farhad Zare holds a Master of Science degree in Mechanical Engineering with a specialization in Energy Conversion from Shiraz University, one of Iran’s top-ranked institutions. He completed his M.Sc. in 2018 with a GPA of 3.57/4.0 and earned an excellent grade for his thesis titled “Numerical Simulation of Drug Delivery in a Human Nasal Cavity by a Nasal Spray Device.” Prior to that, he earned his Bachelor of Science degree in Mechanical Engineering from Persian Gulf University in 2014, graduating among the top 10% of his class with a GPA of 3.53/4.0. His undergraduate final project focused on “Numerical Simulation of Bed Deformation in a Water Channel Flow with Non-Newtonian Deformable Bed,” highlighting his early interest in fluid mechanics and simulation. Throughout his academic journey, Farhad demonstrated consistent excellence, earning full scholarships for both degrees, and laying a strong foundation in computational analysis, thermodynamics, heat transfer, and applied mechanical systems.

Professional Experience📝

Farhad Zare has accumulated valuable professional experience through a combination of academic, industrial, and mentoring roles. During his academic career, he served as a teacher assistant for courses such as Advanced Mathematics and Automatic Control, and also mentored undergraduate and graduate students, demonstrating strong leadership and teaching skills. He has been deeply involved in various numerical and experimental projects, including CFD simulations of complex fluid flows, heat exchangers, microchannels, and nasal airflow models, using tools like Ansys, OpenFOAM, and SolidWorks. Farhad also has hands-on industrial experience, having completed internships focused on piping design and maintenance in both a sugar factory and a water supply and sanitation system in Shiraz, Iran. Additionally, he contributed to manufacturing porous ceramic materials using the starch consolidation method. His interdisciplinary expertise spans computational mechanics, biomechanical simulations, and fluid-structure interactions, all of which reflect his ability to connect theoretical knowledge with real-world engineering challenges and innovations.

Research Interest🔎

Farhad Zare’s research interests lie at the intersection of computational mechanics, biomedical engineering, and energy systems. He is particularly focused on Computational Fluid Dynamics (CFD), with applications in biomechanics, drug delivery, and environmental health. His work explores particle and droplet dynamics, including their formation, trajectory, and interaction within fluid flows using both one-way and two-way coupling analysis. Farhad is also interested in microfluidics and MEMS technologies, examining how microscale fluid behavior can be harnessed for medical and engineering applications. Additionally, his interests extend to radiation heat transfer, solar energy systems such as Direct Absorption Solar Collectors (DASC), and Fluid-Structure Interaction (FSI) analysis in complex geometries. With a strong commitment to bridging simulation with practical outcomes, he aims to innovate in areas like nasal drug delivery systems, respiratory flow modeling, and renewable energy applications. Farhad’s passion lies in using advanced numerical tools to address real-world problems through interdisciplinary, applied research.

Award and Honor🏆

Farhad Zare has been recognized for his academic excellence and personal achievements through various awards and honors. He received full scholarships for both his undergraduate and graduate studies, a testament to his consistent academic performance and intellectual merit. His strong standing in his class, being ranked among the top 10% during his bachelor’s and earning an excellent thesis grade during his master’s, further highlights his dedication to scholarly excellence. In addition to his academic accomplishments, Farhad has also demonstrated discipline and commitment in extracurricular activities, earning 2nd place in the provincial Kyokushin martial arts competition in Shiraz, Iran. This achievement reflects his well-rounded character and ability to excel in both intellectual and physical pursuits. His blend of academic distinction and personal discipline underscores his potential as a leading researcher and emerging professional in the field of mechanical and biomedical engineering. These accolades support his candidacy for competitive research awards.

Research Skill🔬

Farhad Zare possesses a robust set of research skills that span both computational and experimental domains, making him a versatile and innovative researcher. He is highly proficient in Computational Fluid Dynamics (CFD) and has extensive experience using advanced simulation tools such as ANSYS Fluent, CFX, ICEM-CFD, TurboGrid, and OpenFOAM. His skills extend to structural analysis using ANSYS Static Structural, as well as 3D modeling with SolidWorks and medical imaging tools like Mimics Materialise and 3-matic. Farhad is skilled in programming languages such as Fortran and C++, which enhance his ability to customize simulations and analyze complex data. He has applied these tools to a wide range of projects, from nasal drug delivery and microfluidic flow to heat exchanger performance and FSI analysis. Additionally, he has expertise in structured and unstructured meshing, flow visualization, and post-processing, showcasing his ability to conduct high-fidelity numerical studies with practical relevance and scientific rigor.

Conclusion💡

Farhad Zare is a strong candidate for the Best Researcher Award, especially in the emerging researcher or early-career category. His work shows impressive depth in computational modeling and real-world relevance, particularly in biomedical fluid dynamics. His continuous trajectory toward a Ph.D., strong publication pipeline, and technical mastery make him highly deserving of recognition, with only minor gaps in international exposure and project leadership to be filled over time.

Publications Top Noted✍️

  • Title: Targeted drug delivery to the inferior meatus cavity of the nasal airway using a nasal spray device with angled tip
    Authors: F Zare, E Aalaei, F Zare, M Faramarzi, R Kamali
    Year: 2022
    Citations: 14

  • Title: Optimized gravity-driven intranasal drop administration delivers significant doses to the ostiomeatal complex and maxillary sinus
    Authors: A Seifelnasr, F Zare, X.A. Si, J. Xi
    Year: 2024
    Citations: 6

  • Title: Enhancing Physiological Realism in Nasal Spray Deposition Studies: Synthetic Mucus Properties and Interactions with Saline Solutions and Stereolithography Resin
    Authors: A Seifelnasr, F Zare, X. Si, J. Xi
    Year: 2025

  • Title: Risk Assessment of Outdoor Micron Particulate Matters Inhaled in the Respiratory System of a Standing Mannequin in a Room Ventilated by a Wind Catcher
    Authors: F Zare
    Year: 2025

  • Title: Exploring E-Vape Aerosol Penetration into Paranasal Sinuses: Insights from Patient-Specific Models
    Authors: A Seifelnasr, F Zare, X. Si, J. Xi
    Year: 2025

  • Title: Numerical Simulation of Drug Delivery in a Human Nasal Cavity by a Nasal Spray Device with two-way coupling approach
    Authors: F Zare
    Year: 2018

  • Title: Numerical Simulation of Bed Deformation in a Water Channel Flow with Non-Newtonian Deformable Bed
    Authors: F Zare
    Year: 2014

Hai Tang | Bioinformatics | Best Researcher Award

🌟Dr. Hai Tang, Bioinformatics, Best Researcher Award 🏆

  •   Doctorate at Zhongshan School of Medicine, Sun Yat-sen University, China
 

Dr. Tang H. is a Lecturer and Pharmacist at Zhongshan School of Medicine, Sun Yat-sen University, China. He holds a PhD in Pharmacy and Molecular Biology, specializing in Machine Learning, Bioinformatics, and Molecular Biology. With 8 years of experience, Dr. Tang’s research focuses on diseases like preeclampsia, Alzheimer’s, and cancer. He has contributed significantly to various China-funded projects and has published extensively in SCI journals.

Author Metrics

Scopus Profile

ORCID Profile

Citations: 132 citations by 130 documents: This means that the works authored or co-authored by Hai Tang have been cited a total of 132 times in other scholarly documents. These citations serve as a measure of the impact and influence of Hai Tang’s research within the academic community. The fact that there are more citations than documents suggests that some of Hai Tang’s papers have been cited multiple times, indicating their significance and contribution to the field.

Documents: 7 documents authored by Hai Tang: This indicates the total number of scholarly documents (such as research articles, reviews, or conference papers) that Hai Tang has authored or co-authored. These documents represent the output of Hai Tang’s research activities and contributions to the academic literature. Each document represents a piece of original work or scholarly contribution made by Hai Tang.

h-index: 7: The h-index is a metric used to quantify the productivity and impact of a researcher’s scholarly output. An h-index of 7 means that Hai Tang has published at least 7 papers that have each been cited at least 7 times. It provides a combined measure of both the quantity (number of papers) and the impact (number of citations) of Hai Tang’s research output. An h-index of 7 is considered moderate, indicating a solid level of scholarly achievement.

Education

Dr. Tang completed his Bachelor’s degree in Pharmacy and Molecular Biology in 2015, followed by a Master’s degree in Bioinformatics in 2018. He later earned his PhD from Sun Yat-sen University in 2023, with a specialization in bioinformatics and machine learning research.

Research Focus

Dr. Tang’s primary research interests lie in machine learning, bioinformatics, and molecular biology, with a focus on identifying novel biomarkers for diseases such as preeclampsia, Alzheimer’s, and cancer. His work aims to enhance early diagnosis and treatment strategies through computational analysis and predictive modeling.

Professional Journey

Throughout his career, Dr. Tang has been actively engaged in teaching and research roles. He has worked at Guangdong Jiangmen Chinese Medicine College, Southern Medical University Affiliated Maternal and Child Health Hospital of Foshan, and currently at Sun Yat-sen University. His journey reflects a commitment to advancing knowledge in bioinformatics and molecular biology.

Honors & Awards

Dr. Tang has received recognition for his contributions to research, including multiple honors and awards. His dedication and impact in the field have been acknowledged through prestigious accolades, highlighting his standing as a prominent figure in the scientific community.

Publications Top Noted & Contributions

Dr. Tang has authored numerous publications in SCI journals, with a focus on topics such as lysosome-related biomarkers in preeclampsia and cancer. His research contributions have significantly enriched the scientific literature, advancing understanding in key areas of bioinformatics and molecular biology.

Title: Role of breastfeeding on maternal and childhood cancers: An umbrella review of meta-analyses.

  • Journal: Journal of Global Health
  • Publication Date: June 23, 2023
  • Type: Journal article
  • DOI: 10.7189/jogh.13.04067
  • PMID: 37350093
  • PMC: PMC10288171

Contributors: Fan D; Xia Q; Lin D; Ma Y; Rao J; Liu L; Tang H; Xu T; Li P; Chen G et al.

Title: Lycopene protects neuroblastoma cells against oxidative damage via depression of ER stress.

  • Journal: Journal of Food Science
  • Publication Date: September 4, 2020
  • Type: Journal article
  • DOI: 10.1111/1750-3841.15419
  • PMID: 32885410
  • Contributors: Ou S; Yinchao Fang; Tang H; Wu T; Chen L; Jiang M; Zhou L; Xu J; Guo K

Title: Lycopene alleviates oxidative stress via the PI3K/Akt/Nrf2 pathway in a cell model of Alzheimer’s disease.

  • Journal: PeerJ
  • Publication Date: June 8, 2020
  • Type: Journal article
  • DOI: 10.7717/peerj.9308
  • PMID: 32551202
  • PMC: PMC7289143
  • Contributors: Fang Y; Ou S; Wu T; Zhou L; Tang H; Jiang M; Xu J; Guo K

Title: Cyclovirobuxine D inhibits cell proliferation and migration and induces apoptosis in human glioblastoma multiforme and low‑grade glioma.

  • Journal: Oncology Reports
  • Publication Date: January 13, 2020
  • Type: Journal article
  • DOI: 10.3892/or.2020.7459
  • PMID: 32020219
  • PMC: PMC7041125
  • Contributors: Zhou L; Tang H; Wang F; Ou S; Wu T; Fang Y; Xu J; Guo K

Title: Studies on APP metabolism related to age-associated mitochondrial dysfunction in APP/PS1 transgenic mice.

  • Journal: Aging
  • Publication Date: November 19, 2019
  • Type: Journal article
  • DOI: 10.18632/aging.102451
  • PMID: 31744937
  • PMC: PMC6914425
  • Contributors: Chen L; Xu S; Wu T; Shao Y; Luo L; Zhou L; Ou S; Tang H; Huang W; Guo K et al.

These publications cover a range of topics including the role of breastfeeding on maternal and childhood cancers, the protective effects of lycopene on oxidative stress in neuroblastoma cells and Alzheimer’s disease, the effects of Cyclovirobuxine D on glioblastoma multiforme and low-grade glioma, and studies on APP metabolism related to mitochondrial dysfunction.

Research Timeline

Over the years, Dr. Tang has maintained a steady progression in his research endeavors. From his early education to his current role as a lecturer and researcher, his timeline illustrates a consistent dedication to advancing knowledge and making impactful contributions to the field of bioinformatics and molecular biology.

Sónia Pinto | Biomechanics | Best Researcher Award

🌟Prof Dr. Sónia Pinto, Biomechanics, Best Researcher Award🏆

  • Professor at Engineering Faculty of University of Porto, Department of Mechanical Engineering, Portugal

Sónia Isabel Silva Pinto is an accomplished researcher and educator in the fields of Mechanical Engineering, Chemical Engineering, and Applied Mathematics. With a background in Chemical Engineering and extensive expertise in Computational Fluid Dynamics, Numerical Methods, and Biomechanics, she has made significant contributions to both academia and industry. Her research focuses on applying computational techniques to study fluid mechanics, heat transfer, and biomechanical phenomena. As an Assistant Professor at Universidade do Porto, she is dedicated to teaching and mentoring students while actively participating in cutting-edge research projects.

Author Metrics:

As an established researcher, Sónia Pinto’s work is highly regarded, as evidenced by her author metrics. She holds a Ciência ID and an ORCID iD, providing unique identifiers for her scholarly contributions. Her publications are cited frequently, reflecting the impact and relevance of her research in the scientific community.

Scopus Profile

Orcid Profile

her publications have received 202 citations across 137 documents, with a total of 32 documents authored by her. Her h-index, a measure of the impact of her work, stands at 7.

Education:

Sónia Pinto earned her Pre-Bologna Degree in Chemical Engineering from the University of Porto in 2006, graduating with top honors. She pursued further academic endeavors, completing her Ph.D. in Chemical and Biological Engineering at the same institution in 2011, where she investigated new separation hybrid membrane cells. She continued her academic journey with a Post-Doctoral specialization in Mechanical Engineering, focusing on Computational Fluid Dynamics and Biomechanics. In 2018, she furthered her education with a Diploma de Especialização in Engineering Education Theory and Practice.

Research Focus:

Sónia Pinto’s research interests revolve around the application of computational techniques in engineering and biomechanics. Her work primarily involves Computational Fluid Dynamics, Computational Programming, Numerical Methods, and Mathematical Analysis applied to fluid mechanics, heat transfer, and biomechanical systems. She is particularly interested in studying hemodynamics and thermal energy systems, aiming to advance understanding and develop innovative solutions in these areas.

Professional Journey:

Throughout her professional journey, Sónia Pinto has held various academic and research positions. Starting as a Ph.D. student and researcher, she progressed to become a Post-Doctoral Researcher, focusing on biomechanics and computational modeling. She later transitioned into teaching, serving as an Invited Assistant Professor before obtaining her current position as an Assistant Professor at Universidade do Porto. Alongside her teaching responsibilities, she actively engages in research, leading and participating in numerous national and international projects.

Honors & Awards:

Sónia Pinto’s outstanding academic achievements have been recognized with several awards and honors. Notably, she received the “Eng. António de Almeida” and “Eng. Cristiano P. Spratley” Awards for achieving the highest classification in Chemical Engineering during her undergraduate studies. Her Ph.D. thesis was approved with distinction, further acknowledging her contributions to the field.

Publications Top Noted & Contributions:

Sónia Pinto has made significant contributions to her field through numerous publications in international journals and conference proceedings. Her research outputs cover a wide range of topics, including computational fluid dynamics, biomechanics, and thermal energy systems. Additionally, she actively participates in academic conferences, symposiums, and workshops, both as a presenter and organizer, fostering knowledge exchange and collaboration within the scientific community.

“Accuracy and temporal analysis of non-Newtonian models of blood in the computational FFR – Numerical implementation”

  • Published: February 2024
  • Journal: International Journal of Non-Linear Mechanics
  • DOI: 10.1016/j.ijnonlinmec.2024.104683
  • Contributors: M. Fernandes; L.C. Sousa; C.C. António; S.I.S. Pinto
  • Summary: This article likely explores the accuracy and temporal aspects of non-Newtonian models of blood in computational fluid dynamics simulations, particularly focusing on fractional flow reserve (FFR) calculations.

“Modeling the Five-Element Windkessel Model with Simultaneous Utilization of Blood Viscoelastic Properties for FFR Achievement: A Proof-of-Concept Study”

  • Published: December 2023
  • Journal: Mathematics
  • DOI: 10.3390/math11244877
  • Contributors: Maria Fernandes; Luisa C. Sousa; Carlos A. Conceição António; Sónia I. S. Pinto
  • Summary: This article appears to present a proof-of-concept study on modeling the Five-Element Windkessel Model, possibly integrating blood viscoelastic properties, with a focus on achieving accurate FFR calculations.

“Numerical Study of a Thrombus Migration Risk in Aneurysm After Coil Embolization in Patient Cases: FSI Modelling”

  • Published: August 2023
  • Journal: Cardiovascular Engineering and Technology
  • DOI: 10.1007/s13239-023-00672-4
  • Contributors: C. Paz; E. Suárez; A. Cabarcos; S. I. S. Pinto
  • Summary: This article likely presents a numerical study employing fluid-structure interaction (FSI) modeling to assess the risk of thrombus migration in aneurysms post coil embolization, with potential implications for patient cases.

“Design and Parametric Enhancement of a Flexible Planar TEG – Numerical Study”

  • Published: 2022
  • Publication Type: Book chapter
  • DOI: 10.1007/978-3-031-04548-6_18
  • Contributors: Fernandes, M.C.; Furtado, C.; Campanhã, D.; Pinto, S.I.S.
  • Summary: This book chapter likely discusses the design and parametric enhancement of a flexible planar Thermo-Electric Generator (TEG) through a numerical study, possibly focusing on optimizing its performance and efficiency.

“Implementation and Comparison of Non-Newtonian Viscosity Models in Hemodynamic Simulations of Patient Coronary Arteries”

  • Published: 2022
  • Publication Type: Book chapter
  • DOI: 10.1007/978-3-031-04548-6_19
  • Contributors: Fernandes, M.C.; Sousa, L.C.; Castro, C.F; Palma, J.M.L.M.; António, C.C.; Pinto, S.I.S.
  • Summary: This book chapter likely discusses the implementation and comparison of non-Newtonian viscosity models in hemodynamic simulations of patient coronary arteries, aiming to improve the accuracy of computational fluid dynamics simulations in this context.

Research Timeline:

Sónia Pinto’s research journey spans over two decades, starting with her undergraduate studies and progressing through her Ph.D. and post-doctoral research to her current position as an Assistant Professor. Over the years, she has been involved in various research projects, collaborating with esteemed institutions and funding agencies to advance knowledge and innovation in her field. Her research timeline reflects a continuous dedication to academic excellence and scientific discovery.