Marizia Trevizani | Biochemistry | Best Researcher Award

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Dr. Marizia Trevizani | Biochemistry | Best Researcher Award

Dr. Marizia Trevizani, Federal University of Juiz de Fora, Brazil

Marizia Trevizani is a distinguished Brazilian researcher specializing in biochemistry, genetics, and biomaterials. She earned her Bachelor’s and Licentiate degrees in Biological Sciences from the Federal University of Juiz de Fora (UFJF) in 2014. She further pursued a Master’s and Ph.D. in Biological Sciences with a focus on Genetics and Biotechnology at UFJF, including a research exchange at Temple University, USA. In 2024, she completed a postdoctoral fellowship at UFJF, focusing on the development of hydrogels derived from decellularized bovine bone matrix. Currently, she is a postdoctoral researcher at UFJF, exploring biological matrices for the creation of natural biomaterials and their recellularization. Her expertise spans human and plant genetics, bioengineering, and biomaterials. Additionally, she has experience in education, having taught Biology and Science to middle and high school students from 2016 to 2023. Her research contributes to advancements in biotechnological applications in healthcare and regenerative medicine.

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Suitability for the “Research for Best Researcher Award” – Marizia Trevizani

Marizia Trevizani demonstrates a highly impressive academic trajectory, showcasing extensive research experience in both basic and applied biological sciences. Her academic background, which includes a Bachelor’s, Master’s, and Doctorate in Biological Sciences with a focus on genetics, biotechnology, and bioengineering, sets her apart as a versatile and highly qualified researcher. Her doctoral work, which explored methods of decellularization of bovine trabecular bone and hydrogel fabrication, is an innovative contribution to the field of biomaterials and tissue engineering.

Her postdoctoral work further exemplifies her expertise in biomaterials, particularly in developing natural biomaterials through biological matrices for tissue regeneration, reflecting her capacity for cutting-edge research with practical applications in healthcare. She also contributes to the scientific community by publishing significant research and is actively involved in educational initiatives, having taught biology and science to secondary school students.

🎓 Education 

Marizia Trevizani has an extensive academic background in biological sciences. She earned her Bachelor’s degree from UFJF in 2014, where she conducted research on plant cytogenetics and genome size. She pursued a Master’s in Biological Sciences (2015–2017) at UFJF, focusing on the evaluation of plant-derived peptones as fetal bovine serum substitutes in stem cell cultures. Her Ph.D. (2017–2022) at UFJF, with a research exchange at Temple University, USA, concentrated on decellularization techniques for bovine trabecular bone and hydrogel fabrication. She also holds a specialization in Biotechnology from the Metropolitan College of São Paulo (2021–2022). Further enhancing her expertise, she completed postdoctoral research at UFJF (2023–2024) in biomaterials and tissue engineering. Additionally, she has completed various specialized training programs in chromatography, 3D printing for healthcare, molecular cloning, and pharmacology. Her academic journey has equipped her with a multidisciplinary perspective in biochemistry, biotechnology, and regenerative medicine.

💼 Professional Experience

Marizia Trevizani has built a diverse career in both research and education. As a postdoctoral researcher at UFJF, she specializes in developing biomaterials from biological matrices and studying their recellularization potential. She previously completed a postdoctoral project on hydrogels derived from decellularized bovine bone. Her doctoral and master’s research also focused on biomaterials and tissue engineering, specifically in the field of biotechnological applications. Beyond academia, she has extensive teaching experience, having worked as a Biology and Science teacher for middle and high school students between 2016 and 2023. Her work also includes participation in research projects involving genetic studies of plants and humans, bioengineering, and applied biotechnology. She has attended numerous training programs, enhancing her skills in chromatography, molecular biology, and 3D bioprinting. Her expertise lies at the intersection of genetics, biotechnology, and biomedical engineering, contributing to cutting-edge advancements in regenerative medicine.

🏅 Awards and Recognition

Throughout her career, Marizia Trevizani has received recognition for her contributions to biochemistry, biomaterials, and genetics. She was awarded research fellowships from the Coordination for the Improvement of Higher Education Personnel (CAPES) during her Master’s and Ph.D. studies. Her postdoctoral research was supported by the Minas Gerais Research Foundation (FAPEMIG). She has received accolades for her contributions to genetic and biotechnological research, particularly in developing alternative biomaterials for medical applications. Her doctoral research exchange at Temple University, USA, was a prestigious achievement, allowing her to collaborate with leading scientists in tissue engineering. Additionally, she has been recognized for her work in education, having influenced numerous students as a Biology teacher. Her dedication to advancing biomaterials and regenerative medicine has earned her invitations to scientific conferences, research collaborations, and specialized training programs in biotechnology, bioengineering, and genetics.

🌍 Research Skills On Biochemistry

Marizia Trevizani possesses a diverse set of research skills in biochemistry, biotechnology, and genetics. She specializes in biomaterials development, particularly in hydrogel fabrication and decellularization techniques for tissue engineering applications. Her expertise extends to genetic analysis, including cytogenetics, genome size evaluation, and molecular cloning. She is proficient in cell culture techniques, working extensively with plant-derived peptones as alternatives to fetal bovine serum in stem cell research. Additionally, she has experience in bioengineering, 3D bioprinting, and chromatographic techniques for material characterization. She has conducted in-depth research on plant and human genetics, focusing on biotechnological applications in healthcare. Her analytical skills are complemented by her participation in multiple training programs, covering pharmacology, molecular biology, and laboratory animal sciences. Through interdisciplinary research, she continues to contribute to advancements in regenerative medicine, tissue engineering, and sustainable biomaterials.

📖 Publication Top Notes

  • Title: Effects of decellularization on glycosaminoglycans and collagen macromolecules in bovine bone extracellular matrix
    • Authors: Marizia Trevizani, Laís Lopardi Leal, Rodolpho José da Silva Barros, Flávia de Paoli, Breno Valentim Nogueira, Fabiano Freire Costa, Jair Adriano Kopke de Aguiar, Carlos Magno da Costa Maranduba
    • Citation: Trevizani, M., Leal, L. L., Barros, R. J. d. S., Paoli, F. d., Nogueira, B. V., Costa, F. F., Aguiar, J. A. K. d., Maranduba, C. M. d. C. (2025). Effects of decellularization on glycosaminoglycans and collagen macromolecules in bovine bone extracellular matrix. International Journal of Biological Macromolecules.
    • Year: 2025
    • DOI: 10.1016/j.ijbiomac.2025.141007
  • Title: Plantas alimentícias não convencionais (PANC): potencialidades para indústria farmacêutica e de alimentos
    • Authors: Samuel Honório da Silva, Felipe Kelmer Müller, Igor Rosa Meurer, Marizia Trevizani, Fabiano Freire Costa
    • Citation: Silva, S. H. d., Müller, F. K., Meurer, I. R., Trevizani, M., Costa, F. F. (2023). Plantas alimentícias não convencionais (PANC): potencialidades para indústria farmacêutica e de alimentos. Revista Gestão & Sustentabilidade.
    • Year: 2023
    • DOI: 10.36661/2596-142X.2022v4n1.14085
  • Title: Tumor necrosis factor α, and agonist and antagonists of cannabinoid receptor type 1 and type 2 alter the immunophenotype of stem cells from human exfoliated deciduous teeth
    • Authors: Marizia Trevizani, Laís Lopardi Leal, João Vitor Paes Rettore, Gilson Costa Macedo, Caio César de Souza Alves,
    • Citation: Trevizani, M., Leal, L. L., Rettore, J. V. P., Macedo, G. C., Alves, C. C. d. S., Castro, S. B. R. d., Carmo, A. M. R. d., Silva, S. A. d., Maranduba, C. M. d. C., Silva, F. d. S. (2023).
    • Year: 2023

Uma Kamboj | Biological Sciences | Women Researcher Award

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Dr. Uma Kamboj | Biological Sciences | Women Researcher Award

Dr. Uma Kamboj, Lovely Professional University, India

Dr. Uma Kamboj is an accomplished academician and researcher specializing in statistics, multivariate analysis, infrared spectroscopy, and aquaphotomics. She currently serves as an Associate Professor in the Department of Physics at Lovely Professional University, Punjab. With over eight years of research experience, she has made significant contributions to the qualitative and quantitative assessment of cereals, grains, food products, beverages, milk, and dairy items. Her expertise extends to near-infrared spectroscopy for predicting physicochemical parameters in flour. Dr. Kamboj has guided numerous Ph.D. and M.Sc. students, published extensively in Scopus and WOS-indexed journals, and presented at international conferences. She actively participates as a resource person in workshops and faculty development programs. Her research achievements have earned her prestigious awards, including the “Graduate Eminent Engineers Award” and the “Best Achievers Award” by Magic Book of Records. Her passion for academia and innovation continues to impact the scientific community significantly.

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Suitability of Dr. Uma Kamboj for the Research for Women Researcher Award

Dr. Uma Kamboj is an accomplished academician and researcher with significant contributions in the field of physics, particularly in multivariate analysis, infrared spectroscopy, and aquaphotomics. Her expertise in applying near-infrared spectroscopy for the qualitative and quantitative assessment of food products and agricultural materials demonstrates a strong research impact in both fundamental and applied sciences. With over 11 years of experience, including more than nine years of teaching and mentoring, she has played a crucial role in advancing research methodologies and statistical applications in scientific studies.

Her research credentials are well-established, as reflected by her h-index of 10, i-10 index of 10, and over 37 Scopus/WOS-indexed publications and book chapters. The cumulative impact factor of 41.457 and the highest impact factor publication of 5.561 further highlight the quality and reach of her research work. Additionally, her patent publication on a wearable monitoring system for visually impaired individuals signifies her contributions beyond academia, impacting technological advancements in healthcare and assistive technologies.

🎓 Education

Dr. Uma Kamboj holds a Ph.D. in Physical Sciences from the Academy of Scientific & Innovative Research (AcSIR), CSIR-CSIO, awarded in 2018. Her doctoral research focused on applying near-infrared spectroscopy for predicting physicochemical parameters of flour. She earned her M.Sc. in Physics (Astronomy and Space Physics) from Punjabi University in 2007, securing a University Medal with 79.95%. She also completed an A.M.I.E. in Electronics and Communication Engineering from IEI Kolkata. Her academic foundation was built with a B.Sc. in Non-Medical Sciences from Dev Samaj College for Women, Panjab University, achieving an impressive 85.5% and securing the 11th rank in the university. Additionally, she completed a B.Ed. from Muktsar College of Education, Punjab University. Her early education includes a strong performance in 10th and 12th grades from Army School Ferozepur (CBSE). Her academic excellence and diverse expertise in sciences and engineering reflect her dedication to research and teaching.

💼 Professional Experience

Dr. Uma Kamboj has over 11 years of experience in teaching and research. Since July 2017, she has been an Associate Professor at Lovely Professional University, Punjab, actively involved in research, teaching Ph.D., M.Sc., and B.Sc. students, and organizing academic events. Previously, she worked as a Lecturer at Lovely Professional University from 2008 to 2012, where she taught Engineering Physics. Her research career includes serving as a Junior Research Fellow at Physical Research Laboratory (PRL), Ahmedabad, and as a Project Assistant-II at CSIR-CSIO, Chandigarh, where she worked on near-infrared spectroscopy applications for honey authentication. Dr. Kamboj has guided multiple Ph.D. and M.Sc. students and coordinated academia-industry collaborations. She has also been a resource person for various workshops and faculty development programs, specializing in research methodology, statistical analysis, and plagiarism detection. Her contributions to academia and research make her a valuable leader in the scientific community.

🏅 Awards and Recognition

Dr. Uma Kamboj has received several prestigious awards for her academic and research excellence. She was honored with the “Graduate Eminent Engineers Award” by Punjab and Chandigarh State Centre, IEI Kolkata, in 2021. Her research accomplishments earned her the CSIR-SRF Fellowship for pursuing her Ph.D. from April 2013 to April 2016. Additionally, she was recognized with the “Best Achievers Award” by the Magic Book of Records in 2023 for her contributions to research and academia. Dr. Kamboj’s impactful work in the field of spectroscopy and multivariate analysis has gained her recognition in national and international scientific communities. She has also been a resource person for numerous research methodology workshops, faculty development programs, and international seminars. Her continuous contributions to science, education, and research demonstrate her commitment to advancing knowledge and mentoring future researchers in the field.

🌍 Research Skills On Biological Sciences

Dr. Uma Kamboj possesses extensive expertise in statistics, multivariate analysis, and spectroscopy. Her primary research focuses on infrared spectroscopy and aquaphotomics for the qualitative and quantitative assessment of food products. She specializes in near-infrared spectroscopy applications for predicting physicochemical parameters in cereals, grains, beverages, milk, and dairy products. She is proficient in advanced data analysis techniques, including chemometrics and statistical modeling, essential for scientific research. Her research contributions extend to machine learning applications in spectroscopy. She has successfully guided Ph.D. and M.Sc. students in developing innovative methodologies in the field. Additionally, Dr. Kamboj is actively involved in organizing and delivering research methodology workshops and faculty development programs. Her interdisciplinary knowledge and ability to integrate technology with research make her a leader in the domain of food quality assessment and spectroscopy-based analytical techniques.

📖 Publication Top Notes

  • Green method for determination of phenolic compounds in mung bean (Vigna radiata L.) based on near‐infrared spectroscopy and chemometrics
    Authors: M Meenu, U Kamboj, A Sharma, P Guha, S Mishra
    Citation: 47
    Year: 2016

  • Detection of jaggery syrup in honey using near-infrared spectroscopy
    Authors: S Mishra, U Kamboj, H Kaur, P Kapur
    Citation: 44
    Year: 2010

  • Comparison of PLSR, MLR, SVM regression methods for determination of crude protein and carbohydrate content in stored wheat using near Infrared spectroscopy
    Authors: U Kamboj, P Guha, S Mishra
    Citation: 33
    Year: 2022

  • Application of Selective Near Infrared Spectroscopy for Qualitative and Quantitative Prediction of Water Adulteration in Milk
    Authors: NM Uma Kamboj, Neha Kaushal, Sunita Mishra
    Citation: 26
    Year: 2020

  • Rapid Determination of β-Glucan Content of Hulled and Naked Oats Using near Infrared Spectroscopy Combined with Chemometrics
    Authors: M Meenu, Y Zhang, U Kamboj, S Zhao, L Cao, P He, B Xu
    Citation: 21
    Year: 2021

  • Characterization of Chickpea Flour by Near Infrared Spectroscopy and Chemometrics
    Authors: SM Uma Kamboj, Paramita Guha
    Citation: 19*
    Year: 2016

  • Prediction of adulteration in honey using rheological parameters
    Authors: U Kamboj, S Mishra
    Citation: 19
    Year: 2015

  • Near Infrared Spectroscopy as an efficient tool for the Qualitative and Quantitative Determination of Sugar Adulteration in Milk
    Authors: NKSJ Uma Kamboj
    Citation: 15
    Year: 2020

  • Changes in rheological properties of wheat due to storage
    Authors: U Kamboj, P Guha, S Mishra
    Citation: 13
    Year: 2018

  • Prediction of properties of wheat dough using intelligent deep belief networks
    Authors: P Guha, T Bhatnagar, I Pal, U Kamboj, S Mishra
    Citation: 10
    Year: 2017

Wentao Han | Medicine | Best Researcher Award

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Dr. Wentao Han | Medicine | Best Researcher Award

Dr. Wentao Han, Department of Ophthalmology, The Second Xiangya Hospital, Central South University, China

Wentao Han is a dedicated ophthalmology researcher specializing in diabetic eye complications, dry eye syndrome, and gene therapy. Currently pursuing his research at the Second Xiangya Hospital of Central South University, China, he has demonstrated a strong passion for advancing medical science through innovative studies. His contributions to ocular disease research, particularly in understanding the gut-eye axis and corneal wound healing, highlight his interdisciplinary approach. He has authored multiple high-impact journal articles and actively collaborates with global scholars. His research on machine learning applications in medical diagnosis showcases his forward-thinking vision in integrating AI with healthcare. Beyond academia, Wentao Han serves as a reviewer for prestigious journals, contributing to the integrity of scientific publications. His dedication to translational medicine and biomarker identification continues to shape new therapeutic strategies. His work aims to bridge laboratory findings with clinical applications, improving patient outcomes in ophthalmology and metabolic diseases.

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Suitability for the Research for Best Researcher Award – Wentao Han

Wentao Han demonstrates a strong research background in ophthalmology, particularly in the areas of diabetic eye complications, dry eye syndrome, and corneal wound healing. Currently pursuing research at the Second Xiangya Hospital of Central South University, he has made notable contributions to the field, with multiple high-impact publications in reputable journals. His expertise in the “gut metabolites–inflammation–eye axis” and gene therapy for Meibomian Gland Dysfunction (MGD) highlights his innovative approach to addressing critical challenges in ophthalmology.

His publication record is impressive, with multiple papers in Q1 and Q2 journals, including Pharmaceutics, The Ocular Surface, Acta Diabetologica, and Journal of Medical Internet Research. Notably, his work on machine learning prediction models, autophagy in retinal precursor cells, and the gut-eye axis showcases a multidisciplinary research approach. His role as an invited reviewer for respected journals further establishes his credibility in the academic community.

🎓 Education 

Wentao Han is currently pursuing advanced medical research at Central South University, Changsha, China, within the Department of Ophthalmology at the Second Xiangya Hospital. His academic journey reflects a deep commitment to ophthalmic research, focusing on diabetic retinopathy, ocular surface disorders, and corneal healing mechanisms. Through rigorous training and hands-on experience in clinical settings, he has honed his expertise in evidence-based medicine and translational research. His coursework and mentorship under leading ophthalmologists have allowed him to integrate molecular biology with patient-centered investigations. Additionally, he actively participates in research seminars, workshops, and scientific collaborations, reinforcing his knowledge of bioinformatics, gene therapy, and regenerative medicine. His strong foundation in medical sciences, combined with a keen interest in technological advancements, positions him as a promising young researcher in ophthalmology. His education has equipped him with critical skills to contribute to groundbreaking discoveries in the field of ocular diseases.

💼 Professional Experience 

As a researcher in ophthalmology at the Second Xiangya Hospital of Central South University, Wentao Han has contributed significantly to understanding diabetic eye complications and ocular disease mechanisms. His professional experience includes conducting clinical and preclinical studies on dry eye syndrome, corneal wound healing, and the gut-eye axis. He has extensive expertise in meta-analyses, molecular diagnostics, and the application of artificial intelligence in disease prediction. His work in identifying novel biomarkers for diabetic retinopathy has been widely recognized. Additionally, he collaborates with interdisciplinary teams, integrating bioinformatics and evidence-based medicine to develop innovative treatment approaches. Han’s active involvement in academic publishing and peer review for high-impact journals reflects his commitment to advancing medical knowledge. His current projects involve investigating gene therapy for meibomian gland dysfunction and corneal regeneration, with the aim of translating scientific discoveries into clinical applications that enhance patient care in ophthalmology.

🏅 Awards and Recognition 

Wentao Han has received multiple recognitions for his outstanding contributions to ophthalmic research. He has been an invited reviewer for prestigious journals such as Cell Death Discovery (IF = 7) and Acta Diabetologia (IF = 3.9), underscoring his expertise in diabetes-related ocular disorders. His research on gut metabolites’ role in eye diseases has been acknowledged at international conferences. Several of his published articles in Q1 journals have earned high citations, reflecting their impact on the scientific community. Han has also contributed to the development of machine learning prediction models for gestational diabetes mellitus, further showcasing his interdisciplinary proficiency. His involvement in groundbreaking studies on corneal wound healing has positioned him as a promising young researcher in ophthalmology. With a strong publication record, peer recognition, and contributions to medical advancements, Han continues to be a driving force in translational ophthalmic research and clinical innovation.

🌍 Research Skills On Medicine

Wentao Han possesses a diverse set of research skills that bridge molecular biology, clinical medicine, and artificial intelligence applications in ophthalmology. His expertise includes conducting systematic reviews, meta-analyses, and experimental research on diabetic retinopathy and dry eye syndrome. He is proficient in bioinformatics tools for gene analysis and biomarker identification, which he applies to precision medicine. Han is skilled in laboratory techniques such as immunohistochemistry, cell culture, and animal models for ocular disease studies. His ability to integrate AI and machine learning into medical research has led to innovative predictive models for disease diagnosis. Additionally, his work in gene therapy for corneal and meibomian gland dysfunction highlights his translational research capabilities. Han’s interdisciplinary approach allows him to explore novel therapeutic targets, making significant contributions to evidence-based medicine. His research aims to improve diagnostic accuracy and therapeutic interventions in ophthalmic and metabolic disorders.

📖 Publication Top Notes

  • Research Progress and Potential Applications of Spermidine in Ocular Diseases
  • Machine Learning Prediction Models for Gestational Diabetes Mellitus: Meta-analysis
    • Authors: Zheqing Zhang, Luqian Yang, Wentao Han, Yaoyu Wu, Linhui Zhang, Chun Gao, Kui Jiang, Yun Liu, Huiqun Wu
    • Citation: Journal of Medical Internet Research, 2022-03-16
    • Year: 2022
    • DOI: 10.2196/26634
  • Genome Analysis and Identification of Key Pathway in Visceral Adipose Tissue from Obesity-Related Diabetes
    • Authors: Wentao Han
    • Citation: Proceedings of the 2021 International Conference on Bioinformatics and Intelligent Computing, 2021-01-22
    • Year: 2021
    • DOI: 10.1145/3448748.3448757
  • Machine Learning Prediction Models for Gestational Diabetes Mellitus: Meta-analysis (Preprint)
    • Authors: Zheqing Zhang, Luqian Yang, Wentao Han, Yaoyu Wu, Linhui Zhang, Chun Gao, Kui Jiang, Yun Liu, Huiqun Wu
    • Citation: Preprint, 2020-12-19
    • Year: 2020
    • DOI: 10.2196/preprints.26634
  • Construction of a Knowledge Graph for Diabetes Complications from Expert-Reviewed Clinical Evidences
    • Authors: Wentao Han
    • Citation: Computer Assisted Surgery (Abingdon, England), 2020-11-25
    • Year: 2020
    • DOI: 10.1080/24699322.2020.1850866
    • PMID: 33275462
  • Association Between Retinol Binding Protein 4 and Diabetic Retinopathy Among Type 2 Diabetic Patients: A Meta-analysis
    • Authors: Wentao Han, Huagen Wei, Weizheng Kong, Jing Wang, Luqian Yang, Huiqun Wu
    • Citation: Acta Diabetologica, 2020-10
    • Year: 2020
    • DOI: 10.1007/s00592-020-01535-3