Hui jieGe | Fluorescence Imaging Methods | Best Researcher Award

Hui jieGe | Fluorescence Imaging Methods | Best Researcher Award

Ph.D. candidate at Beijing Key Laboratory for Green Catalysis and Separation, Institute of Matter Science, Beijing University of Technology, China

 

Ms. Huijie Ge is a Ph.D. candidate in Materials and Chemical Engineering at the Beijing University of Technology, currently working at the Beijing Key Laboratory for Green Catalysis and Separation. Her research primarily focuses on the synthesis and characterization of core-shell intelligent responsive mesoporous silica nanofunctional materials. These materials are intended for use in drug delivery systems with a special emphasis on their biosafety and environmentally sensitive properties. She investigates their dual pH- and temperature-responsive performance, cytotoxicity, cell uptake, and hemolysis to ensure safe applications in drug delivery. Huijie Ge’s research combines materials science, chemical engineering, and biomedical applications, aiming to address critical challenges in targeted drug delivery. Her work is published in esteemed journals like Pharmaceutics, contributing significantly to the development of innovative materials for medical applications.

Profile

Scopus

Education 

Ms. Huijie Ge is currently pursuing her Ph.D. in Materials and Chemical Engineering at the Beijing University of Technology, with her research focused on advanced drug delivery systems. She completed her undergraduate studies in Chemical Engineering, where she developed a keen interest in nanomaterials and their applications in drug delivery. Her academic journey has been marked by a commitment to understanding and enhancing the interactions between materials and biological systems, with a particular focus on environmental sensitivity and biosafety. Throughout her education, Ms. Ge has been involved in various research projects that have contributed to her deep understanding of materials characterization techniques, experimental testing, and data analysis. Her dedication to scientific research has led to her involvement in significant studies that bridge the gap between material science and pharmaceutical applications, with a goal of developing safer and more effective drug delivery systems.

Experience 

Ms. Huijie Ge is currently affiliated with the Beijing Key Laboratory for Green Catalysis and Separation at the Institute of Matter Science, Beijing University of Technology. As a Ph.D. candidate, she plays a pivotal role in the preparation and structural characterization of core-shell mesoporous silica nanofunctional materials. Her expertise includes investigating the materials’ responsiveness to environmental factors such as pH and temperature, and evaluating their applicability in drug delivery systems. Huijie’s experience extends to conducting in-depth studies on the cytotoxicity, cell uptake, and hemolysis of these materials, ensuring their biological safety in medical applications. She is involved in the full research process, from material synthesis and characterization to experimental testing, data analysis, and manuscript writing. Her contributions to the field of material science and chemical engineering have resulted in published research in well-respected journals such as Pharmaceutics and Journal of Fuel Chemistry and Technology.

Research Focus 

Ms. Huijie Ge’s research focuses on the development of intelligent, responsive mesoporous silica nanofunctional materials for advanced drug delivery systems. She investigates the synthesis, characterization, and testing of core-shell nanomaterials that respond to environmental stimuli, specifically pH and temperature. These materials are designed for use as drug carriers, offering controlled release and enhanced targeting capabilities. A significant part of her research is dedicated to ensuring the biosafety of these materials, including the evaluation of cytotoxicity, cell uptake, and hemolysis. The goal is to develop materials that are not only effective in drug delivery but also safe for medical use. Through experimental testing and data analysis, she explores the potential of these materials to improve the therapeutic effectiveness of drugs while minimizing side effects. Her work has important implications for cancer treatment, where targeted drug delivery can enhance therapeutic efficacy while reducing systemic toxicity.

Publications

  • Dual pH- and Temperature-Responsive Performance and Cytotoxicity of N-Isopropylacrylamide and Acrylic Acid Functionalized Bimodal Mesoporous Silicas with Core–Shell Structure and Fluorescent Feature for HeLa Cells 🌐 Pharmaceutics 2025, 17, 206
  • Hydrocracking of Tetrahydronaphthalene for Preparation of Benzene and Alkylbenzene Catalyzed by Mo/Beta Sulfide Catalyst 🔬 Industrial and Engineering Chemistry Research, 2024
  • Constructing PdZn Alloy in Pd/ZnO Catalyst for Selective Hydrogenation of Anthracene to Symmetrical Octahydroanthracene 🔥 Journal of Materials Science, 2024
  • Preparation of Ni/ZnCo2O4@ZnO Composite Metal Oxide Adsorbent and Its Adsorption Desulfurization and Regeneration Performance 🧪 Journal of Fuel Chemistry and Technology, 2024
  • Study of Pre-Coking Modified ZSM-5 Molecular Sieve and Its Benzene and Syngas Alkylation Properties 🧬 Journal of Fuel Chemistry and Technology, 2024
  • Constructing Ni/ZnMOx Composite Metal Oxide Adsorbents with Excellent Desulfurization Capacity and Thermal Stability for Reactive Adsorption Desulfurization ⚙️ Fuel, 2024
  • Effect of Al Source on the Physicochemical Properties of Cu-Al Spinel Catalysts and the Catalytic Performance for Reverse Water Gas Shift ⚗️ Journal of Fuel Chemistry and Technology, 2024

 

Corneliu Stan | Carbon Nano Dots | Bioimaging Advances Award

Dr. Corneliu Stan | Carbon Nano Dots | Bioimaging Advances Award

Experienced Researcher at Technical University Gheorghe Asachi Iasi, Romania

Dr. Corneliu Sergiu Stan is a distinguished researcher in the field of material sciences and photoluminescent materials. His extensive academic and industrial experience spans over three decades, focusing on the development and characterization of nanocomposite materials, polymers, and carbon-based photoluminescent structures. His work has significantly contributed to advancements in optoelectronic applications, environmental protection, and biomedical engineering.

Profile

Scopus 

Education

Dr. Stan earned his Ph.D. in Chemistry from the Faculty of Chemical Engineering and Environmental Protection at Gheorghe Asachi Technical University of Iasi, Romania, in 2012. His research focused on new lanthanide complexes with organic ligands. He previously obtained an Engineering Diploma in Chemistry from the same institution in 1989. His academic background is complemented by an international research stage at the Institut de Chimie Moléculaire et des Matériaux Charles Gerhardt, Montpellier, France.

Professional Experience

Dr. Stan is currently a Scientific Researcher II at Gheorghe Asachi Technical University of Iasi, where he has been involved in scientific research, laboratory experimentation, and spectroscopy analysis since 2017. Previously, he held positions as a Scientific Researcher III and Assistant Researcher, contributing to projects related to fluorescence spectroscopy, Raman analysis, and nanocomposite materials. His industrial experience includes serving as a Production Manager in the plastics industry and working as a research project advisor for environmental protection initiatives.

Research Interests

Dr. Stan’s research interests include photoluminescent nanomaterials, spectroscopy, and polymer-based optoelectronic devices. His studies involve developing novel carbon-based nanostructures for applications in lighting, energy conversion, and biomedical imaging. His work integrates advanced material characterization techniques such as FT-IR, SEM, XPS, and fluorescence spectroscopy.

Awards and Recognitions

Dr. Stan has been recognized for his contributions to materials science and applied chemistry through various research grants and industry-funded projects. He has been an active participant in European and national research programs, including COFUND-LEAP-RE-ERANET and Le Studium Institute for Advanced Studies in France.

Selected Publications

“A Natural Carbon Encapsulated in Gellan-Based Hydrogel Particles Designed for Environmental Challenges”

  • Journal: Gels
  • Year: 2024
  • Citations: 0

“Photoluminescence of Argan-Waste-Derived Carbon Nanodots Embedded in Polymer Matrices”

  • Journal: Nanomaterials
  • Year: 2024
  • Citations: 2

“Photoinduced polymer-confined CQDs for efficient photoluminescent 2D/3D printing applications”

  • Journal: Materials Advances
  • Year: 2023
  • Citations: 1

“An Accessible Method to Improve the Stability and Reusability of Porcine Pancreatic α-Amylase via Immobilization in Gellan-Based Hydrogel Particles Obtained by Ionic Cross-Linking with Mg2+ Ions”

  • Journal: Molecules
  • Year: 2023
  • Citations: 7

Conclusion

Corneliu Sergiu Stan is a strong candidate for the Research for Bioimaging Advances Award, particularly due to his expertise in photoluminescent materials and nanotechnology. His research on luminescent carbon dots, polymer aerogels, and novel optical materials aligns well with imaging applications. Strengthening collaborations with biomedical imaging experts and highlighting clinical applications in his work would further enhance his suitability.

 

 

Diana Reche | Novel Fluorescent Technologies | Best Researcher Award

Mrs. Diana Reche | Novel Fluorescent Technologies | Best Researcher Award

PhD student at Pablo de Olavide University, Spain

Diana Reche López is a dedicated researcher specializing in rare and neurodegenerative diseases. She holds a Bachelor’s degree in Biology from the University of Seville and a Master’s degree in Health Biotechnology from Universidad Pablo de Olavide. Currently a Ph.D. student at the Andalusian Center for Developmental Biology, she is a key member of the PAIDI BIO-336 research group. Her work is focused on finding alternative treatments for KAT6B syndrome, a rare genetic disorder. With a strong foundation in molecular biology and cell culture techniques, Diana has contributed significantly to the field through numerous peer-reviewed publications and collaborations with esteemed scientists.

Profile

ORCID

Education:

Diana Reche López completed her Bachelor’s degree in Biology at the University of Seville (2013–2018), where she developed a deep interest in molecular biology and genetics. She then pursued a Master’s degree in Health Biotechnology at Universidad Pablo de Olavide (2018–2020), refining her expertise in experimental techniques and biomedical research. Currently, she is undertaking a Ph.D. in Biomedical Sciences at the same university, where her research focuses on cellular models for rare neurodegenerative disorders.

Experience:

As a doctoral researcher at the Andalusian Center for Developmental Biology, Diana has gained substantial expertise in cell culture techniques, immunofluorescence, quantitative PCR, Western Blot, lentivirus production, and in situ hybridization. Her extensive hands-on experience has allowed her to contribute significantly to multiple research projects on mitochondrial diseases and therapeutic interventions. She has also collaborated on various international studies, further strengthening her scientific impact and network.

Research Interest:

Diana’s primary research interests lie in the study of rare and neurodegenerative diseases. She focuses on understanding the molecular mechanisms underlying these conditions and identifying potential therapeutic strategies. Her work includes exploring the mitochondrial unfolded protein response (UPRmt) as a novel therapeutic target, investigating alternative treatment approaches for KAT6B syndrome, and utilizing patient-derived cellular models for precision medicine. She is passionate about advancing biomedical research to improve patient outcomes.

Awards:

Diana has been recognized for her contributions to biomedical research. She has been nominated for prestigious awards in the field of rare diseases and neurodegeneration. Her research excellence has been acknowledged through participation in funded projects, including a significant grant from the Instituto de Salud Carlos III for studying the modulation of UPRmt in mitochondrial diseases.

Publications:

“Therapeutic approach with commercial supplements for pantothenate kinase-associated neurodegeneration with residual PANK2 expression levels.”

  • Álvarez-Córdoba, M., et al. (2022).  Orphanet Journal of Rare Diseases, 17(1), 311.
  • Cited by: 164 articles.

“Activation of the Mitochondrial Unfolded Protein Response: A New Therapeutic Target?”

  • Suárez-Rivero, J. M., et al. (2022). Biomedicines, 10(7), 1611.
  • Cited by: Multiple articles.

“Vicious cycle of lipid peroxidation and iron accumulation in neurodegeneration.”

  • Villalón-García, I., et al. (2023).  Neural Regeneration Research, 18(6), 1196–1202.
  • Cited by: Several studies.

“mtUPR Modulation as a Therapeutic Target for Primary and Secondary Mitochondrial Diseases.”

  • Cilleros-Holgado, P., et al. (2023).  International Journal of Molecular Sciences, 24(2), 1482.
  • Cited by: Notable journals.

“Actin Polymerization Defects Induce Mitochondrial Dysfunction in Cellular Models of Nemaline Myopathies.”

  • Piñero-Pérez, R., et al. (2023).  Antioxidants, 12(12), 2023.
  • Cited by: Various researchers.

“Biotin Induces Inactive Chromosome X Reactivation and Corrects Physiopathological Alterations in Beta-Propeller-Protein-Associated Neurodegeneration.”

  • Reche-López, D., et al. (2025).  International Journal of Molecular Sciences, 26(3), 1315.
  • Cited by: Leading studies.\

Conclusion:

Diana Reche López is a strong candidate for the Research for Best Researcher Award, particularly in biomedical research related to rare and neurodegenerative diseases. Her publication record, technical expertise, and involvement in significant research projects highlight her dedication to impactful scientific work. However, to further strengthen her profile, she could focus on leading independent research, increasing first-author publications, and expanding her scientific outreach.

 

Farzaneh Rastegari | DNA isolation and PCR amplification approaches | Best Researcher Award

Mrs. Farzaneh Rastegari | DNA isolation and PCR amplification approaches | Best Researcher Award

Graduate at University of Connecticut, United States

Farzaneh (Dana) Rastegari is a dedicated researcher in computational biology and bioinformatics, specializing in microbiome analysis, machine learning, and genomics. With a strong foundation in computer science and engineering, she applies computational and statistical methods to analyze microbial communities and their interactions. Her interdisciplinary expertise spans software development, wet lab techniques, and data analytics, making her a valuable contributor to biomedical research.

Profile 

Scopus

Education 🎓

Farzaneh is currently pursuing her Ph.D. in Computer Science and Engineering at the University of Connecticut (UConn), where she maintains an impressive GPA of 3.88/4.0. She previously earned her M.S. in Electrical and Computer Engineering from the University of New Haven (UNH), focusing on communication networks. Her academic journey began with a B.S. in Computer Science, specializing in robotics, from Amirkabir University of Technology (Tehran Polytechnic).

Experience 💼

As a Predoctoral Associate at The Jackson Laboratory, Farzaneh conducts extensive microbiome research involving wet lab methodologies, data processing, statistical analysis, and pipeline development. Her work at UConn includes computational genomics, Bayesian machine learning, and artificial intelligence applications in bioinformatics. Additionally, her past experience at UNH and AUT includes projects in signal processing, communication networks, and robotics, demonstrating her versatility in multiple research domains.

Research Interests 🔬

Farzaneh’s research focuses on bioinformatics, genomics, computational biology, machine learning, and artificial intelligence. Her work in microbiome research explores microbial community interactions, statistical modeling, and algorithm development for genomic data analysis. She is also passionate about evolutionary genomics, phylogenetic analysis, and predictive modeling in biomedical research.

Awards & Achievements 🏆

  • Awarded Predoctoral Fellowship at UConn’s Computer Science and Engineering department.
  • Received the Summer Doctoral Dissertation Fellowship from the Graduate School at UConn.
  • Ranked as the top student in her M.S. program at UNH, holding the highest GPA in her class.
  • Ranked among the top three students in her B.S. program at AUT.
  • Member of the Parsian Robotic team, ranked among the top 20 teams worldwide in small-size soccer robots (Robocup, Atlanta, USA).
  • Secured the 14th position in the world ranking for small-size soccer robots at Robocup, Bremen, Germany.
  • Achieved second place in ACM/ICPC line follower robots competition (Sharif University of Technology, Tehran, Iran).
  • Ranked in the 99.8 percentile among over 600,000 students in Iran’s national university entrance exam.
  • Selected for NODET (National Organization for Development of Exceptional Talents), Iran.
  • Certified in CPR, first aid, and emergency care.
  • Holds a second-dan certificate from Kukkiwon’s Taekwondo Association, South Korea.

Publications 📚 Published:

  • Metagenomics and Chemotherapy-Induced Nausea: A Roadmap for Future Research
    • Authors: Crowder, S. L., Hoogland, A. I., Welniak, T. L., LaFranchise, E. A., Carpenter, K. M., Li, D., Rotroff, D. M., Mariam, A., Pierce, C. M., Fischer, S. M., Kinney, A. Y., Rastegari, F., Weinstock, G. M., Jim, H. S. L.
    • Year: 2022
  • Predictive Modeling of Chronic Kidney Disease Progression Using Longitudinal Clinical Data and Deep Learning Techniques
    • Authors: Rastegari, F., Odeh, M., Baroughi, R. M., Bustan, A.
    • Year: 2023
  • Exploring the Relationship between Air Pollution and CNS Disease Mortality in Italy: A Forecasting Study with ARIMA and XGBoost
    • Authors: Karimi, M., Hamzehei, S., Rastegari, F., Akbarzadeh, O.
    • Year: 2023
  • A Comprehensive Simulation of Electric Vehicle Energy Consumption: Incorporating Route Planning and Machine Learning-Based Predictions
    • Authors: Baroughi, R. M., Attar, H., Rastegari, F.
    • Year: 2023
  • Comparison of Lysis and Amplification Methodologies for Optimal 16S rRNA Gene Profiling for Human and Mouse Microbiome Studies
    • Authors: Rastegari, F., Driscoll, M., Riordan, J. D., Nadeau, J. H., Johnson, J. S., Weinstock, G. M.
    • Year: 2025
  • On the Accuracy of HGTs Inference Using Phylogenetic Reconciliation
    • Authors: Rastegari, F., Masi, A., Bansal, M.
    • Year: Year of publication is not specified.

Conclusion

Farzaneh (Dana) Rastegari is an exceptional researcher with a diverse skill set in bioinformatics, microbiome research, AI, and robotics. Her strong technical expertise, multidisciplinary research contributions, and outstanding academic achievements make her a top candidate for the Best Researcher Award. While she already has a strong publication record and international recognition, further interdisciplinary collaborations, high-impact journal publications, and leadership in research grants could further solidify her position as a leading researcher in computational biology and AI-driven genomics.

Fatemeh Tajik | Cancer Biophotonics Studies | Cancer Biophotonics Award

Dr. Fatemeh Tajik | Cancer Biophotonics Studies | Cancer Biophotonics Award

Assistant Specialist at University of California Irvine Medical Center, United States

Dr. Fatemeh Tajik is an accomplished medical researcher dedicated to advancing cancer diagnostics. She earned her MD in 2021, ranking among the top 1% of her class. Since then, she has been engaged in groundbreaking research on cancer biomarkers, particularly circulating extracellular vesicle biomarkers for peritoneal carcinomatosis. Currently serving as an Assistant Specialist at the University of California, Irvine, Dr. Tajik contributes significantly to translational and clinical research, with the goal of improving patient outcomes.

Profile

ORCID

Education 🎓

Dr. Tajik completed her Doctor of Medicine (MD) in 2021. Her academic excellence placed her among the top 1% of her graduating class. Her advanced studies and research focus on cancer biomarker identification, leading to significant contributions in oncology.

Experience 🌟

From 2021 to 2023, Dr. Tajik dedicated her research to identifying novel cancer biomarkers, culminating in multiple peer-reviewed publications. In 2023, she joined the Department of Surgery at the University of California, Irvine, where she specializes in translational cancer research. Additionally, she serves as a reviewer for esteemed journals and has co-authored a book chapter, further demonstrating her expertise and commitment to the field.

Research Interests 🌿

Dr. Tajik’s research revolves around cancer biology, with a specific focus on:

  • Cancer biomarkers
  • Extracellular vesicles
  • Peritoneal carcinomatosis Her work aims to refine predictive and prognostic tools for cancer, significantly impacting early detection and treatment approaches.

Awards 🏆

Dr. Tajik has been recognized for her contributions to cancer research and innovation. She has been nominated for prestigious awards such as the Excellence in Research Award and the Best Researcher Award, highlighting her significant impact on the field.

Publications 📚

Dr. Tajik has published extensively in high-impact journals. Her notable publications include:

“Iterative Intraperitoneal Chemotherapy in Gastric Cancer Peritoneal Carcinomatosis”

  • Journal: Cancers
  • Publication Date: January 17, 2025
  • DOI: 10.3390/cancers17020289

“Regional Therapy Approaches for Gastric Cancer with Limited Peritoneal Disease”

  • Journal: Journal of Gastrointestinal Cancer
  • Publication Date: June 2024
  • DOI: 10.1007/s12029-023-00994-5

“Transformation of Chronic Lymphocytic Leukemia into Acute Mixed Phenotype Leukemia Myeloid/T Neoplasm: a Case Report”

  • Journal: SN Comprehensive Clinical Medicine
  • Publication Date: September 11, 2023
  • DOI: 10.1007/s42399-023-01567-0

“Anxiety during the COVID-19 pandemic in hospital staff: systematic review plus meta-analysis”

  • Journal: BMJ Supportive & Palliative Care
  • Publication Date: June 2023
  • DOI: 10.1136/bmjspcare-2021-003125

“A comprehensive Examination of the potential application of Chat GPT in Higher Education Institutions”

  • Type: Preprint
  • Publication Date: April 12, 2023
  • DOI: 10.36227/techrxiv.22589497.v1

“Post-COVID-19 rhinocerebral mucormycosis, a life-threatening event in the background of immunosuppressive condition: A case report”

  • Type: Preprint
  • Publication Date: January 27, 2023
  • DOI: 10.21203/rs.3.rs-2516078/v1

“Adoption of cytoreductive surgery in the management of peritoneal malignancies—Global trends”

  • Journal: Journal of Surgical Oncology
  • Publication Date: 2023
  • DOI: 10.1002/jso.27448

“Circulating exosomal microRNAs as potential prognostic biomarkers in gastrointestinal cancers: a systematic review and meta-analysis”

  • Journal: Cancer Cell International
  • Publication Date: 2023
  • DOI: 10.1186/s12935-023-02851-8

“Clinical significance of CD166 and HER-2 in different types of gastric cancer”

  • Journal: Clinical and Translational Oncology
  • Publication Date: 2023
  • DOI: 10.1007/s12094-023-03297-0

“COVID-19 pandemic impact on screening and diagnosis of prostate cancer: a systematic review”

  • Journal: BMJ Supportive and Palliative Care
  • Publication Date: 2023
  • DOI: 10.1136/spcare-2023-004310

Conclusion 🏅

Fatemeh Tajik is a highly qualified candidate for the Research for Cancer Biophotonics Award due to her impressive research output, strong academic background, and impactful work in cancer diagnostics. However, to make her application more competitive, she should highlight her direct contributions to biophotonics, expand her involvement in industry collaborations, and clearly outline her most significant scientific innovations.

 

Makiko Mitsunami | Reproductive Medicine | Best Researcher Award

Dr. Makiko Mitsunami | Reproductive Medicine | Best Researcher Award 

Postdoctoral at Harvard T.H.Chan School of Public Health, United States

Dr. Makiko Mitsunami is a distinguished physician-scientist specializing in obstetrics, gynecology, and reproductive health. Born in Shiga, Japan, she has built an impressive career that spans clinical practice, research, and teaching. Dr. Mitsunami currently serves as a Postdoctoral Research Fellow at the Harvard T.H. Chan School of Public Health, where she contributes to groundbreaking studies in reproductive and environmental health. Her dedication to advancing women’s health, coupled with her passion for addressing global health disparities, underscores her commitment to making a tangible impact in the field.

Profile

Scopus

Education 🎓

Dr. Mitsunami’s academic journey began with her MD degree from Jichi Medical University in 2008. She later pursued an MMSc in Clinical Investigations at Harvard Medical School (2021), followed by a PhD from Jichi Medical University in 2023. Her advanced education reflects a deep commitment to understanding and addressing complex issues in reproductive health. Additionally, she has completed postdoctoral training in nutrition, environmental health, and epidemiology at Harvard, further broadening her interdisciplinary expertise.

Professional Experience 💼

Dr. Mitsunami’s professional experience includes over a decade of clinical practice in obstetrics and gynecology across prominent institutions in Japan. She has held key positions such as Senior Medical Staff and Associate Director in the Department of Obstetrics and Gynecology at Higashi-Ohmi General Medical Center. Since transitioning to research, Dr. Mitsunami has contributed to multiple studies on reproductive health, including the impact of diet, environmental exposures, and lifestyle factors on fertility and pregnancy outcomes. Her collaborative approach with multidisciplinary teams underscores her versatility as both a clinician and a researcher.

Research Interests 🌍

Dr. Mitsunami’s research focuses on improving reproductive health outcomes through innovative approaches. Her primary interests include:

  • The relationship between diet, environmental exposures, and reproductive health.
  • The impact of plant-based diets and soy products on fertility and pregnancy.
  • Addressing disparities in access to infertility care among diverse populations. Her work aims to bridge clinical practice and public health to improve the lives of women globally.

Awards and Honors 🏆

Dr. Mitsunami has received numerous accolades for her contributions to the field:

  • Young Investigator’s Award (2012): Recognized for her presentation on peripartum cardiomyopathy in dialysis patients.
  • JMSA Scholarship (2023-2024): Acknowledged for her research on pregnancy intention and infertility care.
  • Global Scholarship by Rotary Foundation (2021-2023): Supported her innovative studies on plant-based diets and hypertensive disorders in pregnancy. These honors reflect her dedication to advancing both science and clinical practice.

Publications and Impact 📖

“Prepregnancy Healthy Lifestyle and Adverse Pregnancy Outcomes”

  • Publication Year: 2023
    Citations: 7

“Association of Gestational Diabetes with Subsequent Long-Term Risk of Mortality”

  • Publication Year: 2023
    Citations: 18

“Predictors of Fertility-Awareness-Based Method Use among Women Trying to Conceive and Women Contemplating Pregnancy”

  • Publication Year: 2023
    Citations: 2

“Women’s Adherence to Healthy Dietary Patterns and Outcomes of Infertility Treatment”

  • Publication Year: 2023
    Citations: 4

“Effect of information awareness on attitudes toward human papillomavirus vaccination intentions in Japan”

  • Publication Year: 2025
    Citations: 0

“Lifetime history of gestational diabetes and cognitive function in parous women in midlife”

  • Publication Year: 2025
    Citations: 0

“BMI status and weight trajectories across females’ reproductive years and risk of adverse pregnancy outcomes: a prospective cohort study”

  • Publication Year: 2024
    Citations: 0

“Fruits, vegetables, pesticide residues and health—a cause for concern? (Letter)”

  • Publication Year: 2024
    Citations: 0

“Prepregnancy plant-based diets and risk of hypertensive disorders of pregnancy”

  • Publication Year: 2024
    Citations: 2

“The association of men’s beverage intake with semen quality and assisted reproduction outcomes in patients undergoing fertility treatment”

  • Publication Year: 2024 (In Press)
    Citations: 1

Conclusion 🎉

Makiko Mitsunami is a highly qualified candidate for the Best Researcher Award. Her robust academic foundation, prolific research contributions, and dedication to teaching and community service make her a strong contender. By expanding her leadership profile and emphasizing the tangible societal impacts of her research, she could elevate her candidacy further.

 

 

Saeed Amal | Multimodal Imaging Techniques | Best Researcher Award

Prof. Saeed Amal | Multimodal Imaging Techniques | Best Researcher Award

Professor at Northeastern University, United States

Saeed Amal  is an accomplished researcher in Artificial Intelligence (AI) with a strong focus on healthcare and precision medicine. Currently serving as an Assistant Research Professor at Northeastern University, his work integrates cutting-edge AI methodologies such as deep learning, machine learning, and generative AI to address complex challenges in healthcare. With extensive experience spanning academia and industry, Saeed’s contributions are shaping the future of personalized medicine and intelligent healthcare solutions.

Profile

ORCID

Education🎓

Saeed’s academic journey reflects his dedication to innovation and interdisciplinary learning. He earned his Ph.D. in Computer Science from Haifa University , where he conducted pioneering research on machine learning, information retrieval, and recommender systems. During his postdoctoral fellowships at Stanford University and Haifa University, he expanded his expertise in deep learning, natural language processing (NLP), and healthcare applications of AI. His educational background also includes a Master’s degree in Computer Science and a Bachelor’s degree in the same field from Technion – Israel Institute of Technology, graduating with honors.

Professional Experience💼

Saeed’s professional journey is marked by impactful roles across academia and industry . At Northeastern University, he leads research on precision medicine, leveraging AI to detect and prevent diseases. His industry tenure includes roles as a Data Scientist and Researcher at Cognitech Smart AI, Dynamic Yield, and General Motors, where he developed AI-driven solutions for healthcare, recommender systems, and NLP. Saeed also has experience as a software engineer at Attunity and AMDOCS, designing large-scale systems with a focus on quality and performance. These experiences underscore his ability to translate theoretical AI concepts into practical, scalable applications.

Research Interests🏥

Saeed’s research interests lie at the intersection of AI and healthcare . His work focuses on the use of AI for early disease detection, multi-modal data integration, and improving diagnostic accuracy. He specializes in deep learning, NLP, large language models (LLM), and image processing to create advanced systems for precision medicine. His vision is to revolutionize healthcare through technology, making diagnosis and treatment more efficient and accessible. Saeed also has significant interest in explainable AI and its application to improve the interpretability and trustworthiness of AI systems.

Awards and Recognitions🏆

Saeed has received several accolades for his contributions to AI and healthcare . He has been a keynote and plenary speaker at major international conferences, including the “3rd International Conference on AI, ML, Data Science, and Robotics” in Rome (2023) and the “Public Health and Healthcare Management Conference” in Dubai (2023). He also chairs special sessions, such as the “Artificial Intelligence and Multimodal Data for Improving Disease Care” at the International Conference on Medical and Health Sciences. These roles highlight his leadership and impact in the global AI community.

Publications📚

“Analysis and Visualization of Confounders and Treatment Pathways Leading to Amputation and Non-Amputation in Peripheral Artery Disease Patients Using Sankey Diagrams”

  • Year: 2025-01-21
  • DOI: 10.3390/biomedicines13020258

“Evaluating Neural Network Performance in Predicting Disease Status and Tissue Source of JC Polyomavirus from Patient Isolates Based on the Hypervariable Region of the Viral Genome”

  • Year: 2024-12-25
  • DOI: 10.3390/v17010012

“Artificial Intelligence and Digital Pathology for Histologic Growth Pattern Classification in Lung Adenocarcinoma”

  • Year: 2024-11-25 (Preprint)
  • DOI: 10.20944/preprints202411.1804.v1

“Digital Pathology and Ensemble Deep Learning for Kidney Cancer Diagnosis: Dartmouth Kidney Cancer Histology Dataset”

  • Year: 2024-11-21 (Preprint)
  • DOI: 10.20944/preprints202411.1615.v1

“Gastric Cancer Detection with Ensemble Learning on Digital Pathology: Use Case of Gastric Cancer on GasHisSDB Dataset”

  • Year: 2024-08-12
  • DOI: 10.3390/diagnostics14161746

“Segmenting Tumor Gleason Pattern Using Generative AI and Digital Pathology: Use Case of Prostate Cancer on MICCAI Dataset”

  • Year: 2024-06-28 (Preprint)
  • DOI: 10.20944/preprints202406.2019.v1

“Multi-Scale Digital Pathology Patch-Level Prostate Cancer Grading Using Deep Learning: Use Case Evaluation of DiagSet Dataset”

  • Year: 2024-06-18
  • DOI: 10.3390/bioengineering11060624

“Ensemble Deep Learning-Based Image Classification for Breast Cancer Subtype and Invasiveness Diagnosis from Whole Slide Image Histopathology”

  • Year: 2024-06-14
  • DOI: 10.3390/cancers16122222

“Enhancing Prostate Cancer Diagnosis with a Novel Artificial Intelligence-Based Web Application”

  • Year: 2023-11-30
  • DOI: 10.3390/cancers15235659

Conclusion🌟

Dr. Saeed Amal is a highly suitable candidate for the Research for Best Researcher Award. With a strong foundation in AI for healthcare, an impressive publication record, and a clear demonstration of leadership in the scientific community, he embodies the qualities of an outstanding researcher. Enhancing public engagement and focusing on broader societal impacts can further bolster his profile for such recognitions.

Alfonso Lainez Muñiz | Imaging Technology Development | Best Researcher Award

Mr. Alfonso Lainez Muñiz | Imaging Technology Development | Best Researcher Award

Student at Universidad Politecnica de Madrid, Spain

Alfonso Lainez Muñiz is an ambitious student and researcher with a robust academic foundation in aerospace engineering. A graduate of the Universidad Politécnica de Madrid, Alfonso specializes in flow visualization and particle tracking techniques, bringing innovation to the field through cost-effective methodologies. He actively seeks to bridge gaps in advanced research with resourceful solutions, making science accessible and impactful.

Profile

ORCID

Education📚🎓

Alfonso holds both a Bachelor’s and Master’s degree in Aerospace Engineering from the Universidad Politécnica de Madrid. His rigorous training has provided him with expertise in aerodynamics, propulsion, and experimental techniques. His academic journey is marked by a passion for problem-solving and hands-on exploration, as evidenced by his innovative research endeavors.

Experience🚀🛠️

Alfonso has contributed to academic and research domains, emphasizing his practical knowledge. His consultancy work on optimizing velocity field measurement using MATLAB and 3D-printed particles highlights his proficiency in designing cost-efficient systems. Alfonso also holds membership in the Colegio Oficial Ingenieros Aeronáuticos de España, showcasing his engagement with professional communities.

Research Interests🌐🔬

Alfonso’s research interests lie at the intersection of aerospace engineering and flow visualization. He is dedicated to developing accessible tools for velocity field measurements, focusing on affordability, accuracy, and simplicity. His work integrates computational modeling, material science, and MATLAB programming to provide sustainable solutions for educational and investigative purposes.

Awards🏆🌟

Alfonso is currently nominated for the prestigious World Biophotonics Research Awards in the category of Best Researcher Award. This nomination recognizes his innovative approach to particle tracking methodologies, which offer an economical yet precise alternative to conventional flow measurement systems.

Publications📝📖

Alfonso’s notable publication is:

  • “Optimizing Velocity Field Measurement with 3D-Printed Particles and MATLAB: A Cost-Effective System for Flow Visualization” (2024). Published in MDPI Aerospace, this paper is accessible via MDPI Aerospace.

It has been cited in studies focusing on cost-effective methods in flow visualization. Alfonso’s work is gaining recognition for its practical applications in university-level research.

Conclusion🚀🎉

Alfonso Lainez Muñiz’s application demonstrates significant potential for the Best Researcher Award, particularly due to the innovative nature and practical impact of his research. However, expanding the research output, achieving citations, and fostering broader engagement could strengthen his candidacy for future awards. His work aligns well with the goals of promoting accessible and impactful research, making him a commendable candidate for recognition.

 

Nurcan Dogan | Imaging Technology Development | Best Researcher Award

Prof. Dr. Nurcan Dogan | Imaging Technology Development | Best Researcher Award

Professor at Istanbul Technical University, Turkey

Dr. Nurcan Dogan Bingolbali is a Professor in the Department of Physics Engineering at Istanbul Technical University, Türkiye. With an extensive career in academia and research, she has contributed significantly to fields such as medical imaging, nanomaterials, spectroscopy, and security-defense technologies. Her expertise spans from magnetic resonance imaging (MRI) to advanced spectroscopy techniques and applied nanotechnology for biomedical applications.

Profile

Scopus

Education 🎓

  • Ph.D. in Physics (Gebze Technical University, 2011): Developed techniques for materials analysis using NMR/NQR principles.
  • M.S. in Physics (Inonu University, 2005): Specialized in superconducting film fabrication.
  • B.S. in Physics (Inonu University, 2003): Laid the foundation for her expertise in physics and materials science.

Experience 🏫

  • Professor (Istanbul Technical University, 2023–Present)
  • Professor (Gebze Technical University, 2022–2023)
  • Associate Professor (Gebze Technical University, 2019–2022)
  • Postdoctoral research at the University of California, Berkeley (2012–2013), focusing on hyperpolarized Xe NMR and MRI.

Research Interests 🔬

Dr. Dogan’s research interests include:

  • Medical Imaging: Innovations in MRI and Magnetic Particle Imaging (MPI).
  • Nanomaterials: Designing magnetic nanoparticles for biomedical and industrial applications.
  • Spectroscopy: Expertise in NMR, UV, FT-IR, and Raman techniques.
  • Applied Research: Developing magnetic sensors and designing superconducting magnets.

Awards 🏆

  • 6th GIV Entrepreneurship Awards (2018): Recognized for her innovative project.
  • Postdoctoral Research Scholarship (TUBITAK, 2013): Supported research at UC Berkeley.
  • Erasmus Exchange Program for Ph.D. Studies (2010): Enhanced her international academic experience.

Publications 📚

Valorization and Repurposing of Citrus limetta Fruit Waste for Fabrication of Multifunctional AgNPs and Their Diverse Nanomedicinal Applications

  • Year: 2024
  • Citations: 3

ZnxFe3 –xO4 (0 x 1.0) Magnetic Nanoparticles Functionalized with Polyacrylic Acid (PAA)

  • Year: 2023
  • Citations: 1

Synthesis and characterization of biocompatible ZnFe2O4 nanoparticles for magnetic particle imaging (MPI)

  • Year: 2023
  • Citations: 8

Structural, Morphological, and Magnetic Characterization of Iron Oxide Nanoparticles Synthesized at Different Reaction Times via Thermal Decomposition Method

  • Year: 2023
  • Citations: 7

Manganese doped-iron oxide nanoparticles and their potential as tracer agents for magnetic particle imaging (MPI)

  • Year: 2022
  • Citations: 14

Fabrication of colloidal silver-peptide nanocomposites for bacterial wound healing

  • Year: 2022
  • Citations: 20

Selection field generation using permanent magnets and electromagnets for a magnetic particle imaging scanner

  • Year: 2022
  • Citations: 8

Synthesis and Characterization of Coated CoFe2O4 Nanoparticles with Biocompatible Compounds and In Vitro Toxicity Assessment on Glioma Cell Lines

  • Year: 2025
  • Citations: 0

Effect of Mg2+ doping and Mn2+ Co-doping on the structural, optical, and photocatalytic properties of CaTiO3 nanopowders prepared by the sol–gel method

  • Year: 2025
  • Citations: 0

A Systematic Look at Structural Diversity of Metal Phosphonates

  • Year: 2024
  • Citations: 0

Conclusion 🤝

Dr. Nurcan Dogan Bingolbali is an outstanding candidate with exemplary achievements in research and academia. Her contributions to nanotechnology, medical imaging, and spectroscopy underscore her dedication to advancing science. Addressing the areas for improvement could further solidify her candidacy and broaden her impact, making her a compelling nominee for the Best Researcher Award.

Hasi Rani Barai | Biophotonics in Diagnostics | Best Researcher Award

Assist. Prof. Dr. Hasi Rani Barai | Biophotonics in Diagnostics | Best Researcher Award

Assistant Professor at Yeungnam University, South Korea

Dr. Barai Hasi Rani is an Assistant Professor at Yeungnam University, Korea, specializing in the field of Chemistry and Nanoscience. She has dedicated her career to advancing knowledge in nanotechnology, electrochemistry, and material science. A strong academic leader, Dr. Barai also serves as a Senior Scientist in the American Chemical Society (ACS) and holds editorial positions at prestigious engineering journals. With years of international research experience, she has significantly contributed to the fields of nanomaterials and energy systems, delivering numerous presentations and publications globally.

Profile

Google Scholar

Education 🎓

Dr. Barai completed her Ph.D. in Physical Organic Chemistry from Inha University, Korea, in 2013, after earning her M.S. in Physical Chemistry from Dhaka University, Bangladesh, in 2008. Her solid foundation in physical chemistry and her postdoctoral experiences at Ewha Womans University and Sogang University in Korea have shaped her into a leading researcher in the field of nanomaterials and their applications in energy and biomedical sectors.

Experience 💼

Since 2015, Dr. Barai has been an Assistant Professor at Yeungnam University, where she teaches and mentors students in the School of Mechanical and IT Engineering. Her previous postdoctoral positions in Chemistry and Nanoscience at Ewha Womans University and KCAP-Korea Center for Artificial Photosynthesis further enriched her research profile, laying the groundwork for her groundbreaking work in nanotechnology, supercapacitors, and material sciences.

Research Interests 🔬

Dr. Barai’s research is centered around the development of nanomaterials, electrochemistry, and their applications in energy storage, biosensors, and environmental sustainability. She is particularly interested in the development of self-assembly methods for quantum dots and their potential applications in energy storage and biomedical fields. Other focus areas include thermal storage effectiveness and novel materials for advanced batteries and coatings.

Awards 🏆

Dr. Barai has earned various accolades throughout her career. She is a proud member of several professional organizations such as the ACS, KCS, and BCS. Her work has been recognized globally, and she has received invitations for multiple editorial appointments. Dr. Barai is also a Guest Editor at Polymers (SCIE-4.329 MDPI journal) and serves as a reviewer for several renowned scientific journals, further affirming her expertise in her research fields.

Publications 📚

Dr. Barai has made significant contributions to scientific literature, with a total of 83 peer-reviewed publications in journals indexed by SCI and Scopus. Her recent works include:

Boosting the Electrochemical Performance of Polyaniline by One-Step Electrochemical Deposition on Nickel Foam for High-Performance Asymmetric Supercapacitor

  • Year: 2022
  • Cited by: 90

Graphical abstract

  • Year: 2018
  • Cited by: 71

Functional thermoresponsive hydrogel molecule to material design for biomedical applications

  • Year: 2022
  • Cited by: 49

Synthesis of Cu-Doped Mn3O4@Mn-Doped CuO Nanostructured Electrode Materials by a Solution Process for High-Performance Electrochemical

  • Year: 2020
  • Cited by: 47

Synthesis of amorphous manganese oxide nanoparticles–to–crystalline nanorods through a simple wet-chemical technique using K+ ions as a ‘growth director’ and their morphology

  • Year: 2016
  • Cited by: 47

Electrochemical synthesis of titanium nitride nanoparticles onto titanium foil for electrochemical supercapacitors with ultrafast charge/discharge

  • Year: 2020
  • Cited by: 46

Template-free synthesis of two-dimensional titania/titanate nanosheets as electrodes for high-performance supercapacitor applications

  • Year: 2017
  • Cited by: 38

Polymer composites with quantum dots as potential electrode materials for supercapacitors application: A review

  • Year: 2022
  • Cited by: 37

Annealing-free synthesis of K-doped mixed-phase TiO2 nanofibers on Ti foil for electrochemical supercapacitor

  • Year: 2017
  • Cited by: 34

Conducting poly(aniline blue)-gold nanoparticles composite modified fluorine-doped tin oxide electrode for sensitive and non-enzymatic electrochemical detection of glucose

  • Year: 2019
  • Cited by: 32

Her work is cited in various influential articles, highlighting her impact on the scientific community.

Conclusion 🎯

Dr. Hasi Rani Barai is a highly qualified researcher with a strong track record of contributions to the fields of nanotechnology and energy. Her leadership in both academic and editorial roles, combined with her extensive publication record, makes her an ideal candidate for the Best Researcher Award. Her continued growth in industry collaborations and patent contributions will further elevate her impact in the field.