Silvius Stanciu | Biology and Life Sciences | Innovative Research Award

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Innovative Research Award

Silvius Stanciu
“Dunarea de Jos” University of Galati, Romania

Silvius Stanciu
Affiliation “Dunarea de Jos” University of Galati
Country Romania
Scopus ID 57202534648
Documents 118
Citations 639
h-index 13
Subject Area Biology and Life Sciences
Event Global Innovation Technologist Awards
ORCID 0000-0001-7697-0968

The Innovative Research Award recognizes scholarly achievement and interdisciplinary scientific contribution within the fields of biology, agricultural sustainability, environmental systems, and food sciences. The academic profile of Silvius Stanciu demonstrates sustained engagement in applied scientific research, particularly in environmental monitoring, agricultural development, renewable energy systems, and sustainability-oriented technological integration.[1] His publication record reflects a multidisciplinary approach connecting ecological analysis, agricultural economics, and technological innovation across regional and international contexts.[2]

Abstract

Silvius Stanciu has contributed to research concerning agricultural sustainability, environmental monitoring, food systems, and renewable energy assessment. His work incorporates data-driven methodologies, GIS-based environmental analysis, and policy-oriented agricultural studies aimed at supporting sustainable regional development.[3] The diversity of publications demonstrates engagement with interdisciplinary scientific frameworks relevant to biology and life sciences. Current studies emphasize riverbank stability, agricultural productivity, food event analysis, and climate-related agricultural trends in Romania.[4]

Keywords

Agricultural sustainability, GIS applications, renewable energy, environmental monitoring, food systems, biology and life sciences, climate analysis, technological innovation, agricultural economics, riverbank stability.

Introduction

Research within biology and life sciences increasingly integrates environmental sciences, computational analysis, and sustainability-oriented methodologies. Silvius Stanciu’s scholarly profile aligns with these contemporary academic directions through studies focused on agricultural systems, environmental risk evaluation, and regional sustainability planning.[2] His investigations into agro-food technology transfer and renewable energy uncertainties contribute to applied scientific discourse associated with climate resilience and ecological management.

Research Profile

The researcher has produced a substantial body of scholarly literature indexed through Scopus and related academic databases. His profile includes journal articles, interdisciplinary analyses, and technology-focused publications involving environmental sustainability and agricultural development. Academic output spans food systems research, renewable energy evaluation, and climate-related agricultural productivity studies.[5]

Research Contributions

  • Development of GIS-based approaches for monitoring heavy metal contamination in water systems.
  • Analysis of agricultural land-use changes affecting Danube River stability and inland navigation systems.
  • Macro-level climatic analysis of cereal productivity integrating precipitation datasets and crop statistics.
  • Research on sustainability perceptions among farm holders and agricultural stakeholders.
  • Evaluation of Romania’s renewable energy investment uncertainties using data-driven methodologies.

Publications

  • Estimating the Impact of Agricultural Land-Use–Land-Cover Change on Riverbank Stability and Critical Inland Navigation Areas of the Danube River, Earth, 2026.
  • GIS Applications in Monitoring and Managing Heavy Metal Contamination of Water Resources, Applied Sciences, 2025.
  • Data–driven analysis of Romania’s renewable energy landscape and investment uncertainties, Heliyon, 2024.

Research Impact

The research impact associated with Silvius Stanciu is reflected through interdisciplinary citation activity and publication diversity across sustainability, environmental management, and food systems studies. His research provides analytical frameworks applicable to policy development, agricultural modernization, and environmental protection strategies. The integration of technological tools such as GIS and climate datasets further strengthens the applied significance of his scientific contributions.[6]

Award Suitability

The Innovative Research Award is suitable for recognizing contributions that integrate scientific innovation with practical societal relevance. Silvius Stanciu’s work demonstrates interdisciplinary engagement connecting agricultural systems, ecological sustainability, and technological analysis. The consistent publication activity and measurable scholarly metrics support recognition within the framework of international innovation-oriented academic awards.[1]

Conclusion

Silvius Stanciu’s academic record reflects sustained participation in multidisciplinary scientific research addressing environmental sustainability, agricultural resilience, and technological advancement. His publication profile, citation performance, and ongoing research activities support recognition through the Innovative Research Award within the Global Innovation Technologist Awards framework.

References

  1. Elsevier. (n.d.). Scopus author details: Silvius Stanciu, Author ID 57202534648. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=57202534648
  2. Heliyon. (2024). Data–driven analysis of Romania’s renewable energy landscape and investment uncertainties.
    https://doi.org/10.1016/j.heliyon.2024.e27334
  3. Applied Sciences. (2025). GIS Applications in Monitoring and Managing Heavy Metal Contamination of Water Resources.
    https://doi.org/10.3390/app151910332
  4. Earth. (2026). Estimating the Impact of Agricultural Land-Use–Land-Cover Change on Riverbank Stability and Critical Inland Navigation Areas of the Danube River.
    https://doi.org/10.3390/earth7030085
  5. Romanian Agricultural Research. (2026). Climatic Drivers of Cereal Productivity in Romania (1997-2024): a Macro-Level Analysis Integrating Era5 Precipitation Data and National Crop Statistics.
    https://doi.org/10.59665/rar4329
  6. Frontiers in Sustainable Food Systems. (2025). Food events from the perspective of visitors and vendors. Case study: the “Iasul în Bucate” fair, Romania.
    https://doi.org/10.3389/FSUFS.2025.1638523

Bruce Liang | Biology and Life Sciences | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Bruce Liang
University of Connecticut Health Center, United States
Bruce Liang
Affiliation University of Connecticut Health Center
Country United States
Scopus ID 7202071205
Documents 115
Citations 5,181
h-index 42
Subject Area Biology and Life Sciences
Event Global Innovation Technologist Awards

The Innovative Research Award recognizes distinguished scholarly contributions and sustained scientific advancement within the field of Biology and Life Sciences. Bruce Liang of the University of Connecticut Health Center has established a notable academic profile through extensive research output, interdisciplinary biomedical investigations, and influential publications focused on cardiovascular biology, ischemic injury, receptor pharmacology, and translational medicine.[1] His body of work reflects ongoing engagement with contemporary biomedical challenges and emerging therapeutic methodologies relevant to modern clinical research.[2]

Abstract

Bruce Liang has contributed extensively to biomedical and translational research through investigations involving cardiovascular disease mechanisms, ischemic stroke biology, receptor-mediated signaling, and molecular therapeutics.[1] His publication record demonstrates a multidisciplinary approach integrating molecular biology, pharmacology, artificial intelligence applications in healthcare, and experimental cardiovascular medicine.[3] With 115 indexed scholarly documents and more than 5,181 citations recorded in Scopus, Liang’s research profile reflects sustained academic engagement and measurable scientific influence within the biomedical sciences.[1]

Keywords

Cardiovascular biology; ischemic stroke; receptor pharmacology; translational medicine; molecular therapeutics; purinergic signaling; biomedical innovation; multi-omics; artificial intelligence in medicine; targeted drug delivery; cardiovascular disease biomarkers; Biology and Life Sciences.

Introduction

Contemporary biomedical research increasingly relies on interdisciplinary methodologies capable of bridging molecular science, clinical application, and computational analysis. Bruce Liang has participated in this evolving landscape through contributions to cardiovascular and neurological research, particularly in the study of ischemia, receptor signaling pathways, inflammatory regulation, and therapeutic intervention strategies.[4] His recent publications further demonstrate interest in artificial intelligence and multi-omics approaches for disease biomarker discovery and predictive modeling within cardiovascular medicine.[5]

The breadth of Liang’s research activities reflects a combination of experimental biology, translational pharmacology, and collaborative scientific inquiry. His citation metrics and publication volume indicate substantial academic engagement within peer-reviewed biomedical literature.[1]

Research Profile

Bruce Liang is affiliated with the University of Connecticut Health Center in Farmington, United States, where his research activities are associated with cardiovascular medicine, translational therapeutics, and molecular biology.[1] His Scopus profile records 115 scholarly documents and an h-index of 42, indicating a sustained citation presence and broad dissemination of his scientific work.[1]

His research output spans several interconnected biomedical domains, including:

  • Cardiovascular disease mechanisms and molecular signaling pathways.
  • Ischemic stroke pathophysiology and neurovascular regulation.
  • AI and machine learning applications for biomarker discovery.

Research Contributions

Liang’s recent scientific contributions include investigations into P2X4 receptor signaling and ischemia/reperfusion injury in murine models.[6] His work has examined molecular mechanisms associated with cardiovascular dysfunction, inflammatory signaling, and neurovascular injury progression.[7]

A significant aspect of his recent scholarship involves the integration of multimodal artificial intelligence and machine learning methodologies for identifying novel cardiovascular disease biomarkers using multi-omics datasets.[5] These investigations contribute to ongoing efforts toward precision medicine and predictive diagnostics in clinical healthcare systems.

Publications

Selected recent publications associated with Bruce Liang include the following peer-reviewed articles:

  1. Novel P2X4 Receptor Antagonist MRS4719 Improves Ischemia/Reperfusion Injury in Mice, Medicinal Chemistry Research, 2026.
  2. TRPM2 Overactivation Drives Hyperlipidemia-Induced Dysfunction of Myeloid Cells and Neurovascular Units, Cell Reports Medicine, 2025.
  3. Multimodal AI/ML for Discovering Novel Biomarkers and Predicting Disease Using Multi-Omics Profiles of Patients with Cardiovascular Diseases, Scientific Reports, 2024.
  4. Revealing the Novel Role of Purinergic Receptor P2X4 in Phagocytic Uptake After Ischemic Stroke, Journal of the American Heart Association, 2024.
  5. Fluorescent Liposomal Nanocarriers for Targeted Drug Delivery in Ischemic Stroke Therapy, Biomaterials Science, 2023.

Research Impact

The citation record associated with Liang’s research profile indicates broad academic visibility within biomedical and translational science literature.[1] His work contributes to ongoing scientific discussions concerning cardiovascular pathology, neurovascular injury, receptor signaling, and precision medicine approaches.[5]

The interdisciplinary nature of his publications demonstrates collaboration across molecular biology, pharmacology, computational analysis, and clinical medicine. This breadth of scholarship is relevant to both laboratory-based investigations and translational healthcare research initiatives.[3]

Award Suitability

Bruce Liang’s research profile aligns with the objectives of the Global Innovation Technologist Awards through sustained scientific productivity, interdisciplinary biomedical investigation, and contributions to translational healthcare research.[1] His publication history demonstrates continued engagement with emerging scientific methodologies including multi-omics analytics, artificial intelligence-assisted disease modeling, and receptor-targeted therapeutics.[5]

The combination of citation influence, peer-reviewed scholarship, and translational research applications supports the relevance of his academic profile for recognition within innovation-oriented scientific award programs.[2]

Conclusion

Bruce Liang has developed an established research portfolio within Biology and Life Sciences through extensive scholarly publication, interdisciplinary biomedical collaboration, and investigations into cardiovascular and neurovascular disease mechanisms. His work reflects sustained participation in translational medicine, receptor biology, and computational healthcare research. The documented citation impact and continued publication activity indicate ongoing scientific engagement relevant to modern biomedical innovation and academic recognition initiatives.[1]

References

  1. Elsevier. (n.d.). Scopus author details: Bruce Tsan Tang Liang, Author ID 7202071205. Scopus.
    www.scopus.com/authid/detail.uri?authorId=7202071205
  2. Global Innovation Technologist Awards. (2026). Award recognition and innovation excellence overview.
    innovationtechnologist.com
  3. Scientific Reports. (2024). Multimodal AI/ML for discovering novel biomarkers and predicting disease using multi-omics profiles of patients with cardiovascular diseases.
  4. Journal of the American Heart Association. (2024). Revealing the Novel Role of Purinergic Receptor P2X4 in Phagocytic Uptake After Ischemic Stroke.
  5. Nature Portfolio. (2024). Artificial intelligence and multi-omics approaches in cardiovascular disease prediction.
  6. Medicinal Chemistry Research. (2026). Novel P2X4 Receptor Antagonist MRS4719 Improves Ischemia/Reperfusion Injury in Mice.
  7. Cell Reports Medicine. (2025). TRPM2 Overactivation Drives Hyperlipidemia-Induced Dysfunction of Myeloid Cells and Neurovascular Units.

Shuai Li | Biology and Life Sciences | Innovative Research Award

Published on by Innovation Technologist

Innovative Research Award

Shuai Li
Regeneron, United States
Shuai Li
Affiliation Regeneron
Country United States
Scopus ID 60597499200
Documents 6
Citations 221
h-index 4
Subject Area Biology and Life Sciences
Event Global Innovation Technologist Awards
ORCID 0000-0002-1537-3956

The Innovative Research Award recognizes the scholarly and scientific contributions of Shuai Li, a researcher associated with Regeneron and previously affiliated with Duke University. Li has contributed to interdisciplinary research spanning synthetic biology, metabolic engineering, supramolecular chemistry, and automated bioprocess technologies. The research portfolio demonstrates a combination of experimental innovation, engineering methodology, and translational biological applications within the broader field of biology and life sciences.[1]

Abstract

Shuai Li has developed a multidisciplinary academic profile integrating biological engineering, synthetic biology, supramolecular chemistry, and automation systems for laboratory applications. Published works include contributions to metabolic engineering in Escherichia coli, chiral molecular assemblies, CRISPR-associated biological systems, and open-source laboratory automation. The body of work reflects ongoing efforts to optimize biological production systems, enhance molecular recognition strategies, and improve accessibility to bioprocess instrumentation.[2][3]

Keywords

Synthetic Biology; Metabolic Engineering; Bioprocess Automation; Supramolecular Chemistry; CRISPR Systems; NADPH Flux; Chiroptical Switches; Biological Engineering; Automated Sampling Systems; Life Sciences Research.

Introduction

Contemporary life sciences research increasingly depends upon interdisciplinary approaches that integrate chemistry, engineering, automation, and computationally informed biological experimentation. Shuai Li’s scholarly contributions reflect this evolving research landscape through work involving engineered microbial systems, supramolecular interfaces, and laboratory automation platforms.[4]

Li completed academic training at Shandong University and the Institute of Chemistry of the Chinese Academy of Sciences before continuing research activities at Duke University. These educational and research experiences contributed to a broad methodological background that spans chemical sciences and biotechnology-oriented engineering disciplines.[1]

Research Profile

The Scopus author profile associated with Shuai Li reports 221 citations across multiple indexed documents and an h-index of 4, indicating measurable academic engagement and scholarly visibility within biotechnology and chemistry-related research communities.[1]

Research topics explored by Li include metabolic pathway optimization, enzyme regulation, supramolecular assembly, CRISPR/Cas systems, and automated sampling technologies for bioreactors. Publications demonstrate collaborations across academic laboratories and interdisciplinary scientific environments.[5]

  • Research specialization in synthetic biology and metabolic engineering.
  • Contributions to supramolecular and chiral chemistry methodologies.
  • Development of low-cost automated laboratory technologies.

Research Contributions

Among Li’s notable contributions is the development of the BioSamplr, an open-source automated sampling system designed for bioreactors. The platform aimed to provide a lower-cost alternative for laboratory sampling automation, thereby increasing accessibility for smaller research laboratories and educational institutions.[2]

Li also contributed to research focused on improving NADPH flux and xylitol biosynthesis in engineered E. coli systems through dynamic regulatory control strategies. This work addressed feedback regulation mechanisms and metabolic optimization relevant to industrial biotechnology applications.[3]

Additional studies investigated CRISPR-associated endonuclease complexes and their effects on self-targeting spacer stability. These findings contributed to understanding microbial genome regulation and CRISPR system functionality.[6]

In the field of supramolecular chemistry, Li co-authored studies examining chiroptical switches, chiral metallogels, and self-assembled polydiacetylene systems for enantioselective recognition. These works demonstrated applications of molecular self-assembly and chirality transfer in advanced chemical systems.[7][8]

Publications

  1. BioSamplr: An open source, low cost automated sampling system for bioreactors — HardwareX (2021).
  2. Dynamic control over feedback regulatory mechanisms improves NADPH flux and xylitol biosynthesis in engineered E. coli — Metabolic Engineering (2021).
  3. Escherichia coli Cas1/2 Endonuclease Complex Modifies Self-Targeting CRISPR/Cascade Spacers Reducing Silencing Guide Stability — ACS Synthetic Biology (2020).
  4. Supramolecular chiroptical switches — Chemical Society Reviews (2020).
  5. Self-Assembled Polydiacetylene Vesicle and Helix with Chiral Interface for Visualized Enantioselective Recognition of Sulfinamide — ACS Applied Materials & Interfaces (2017).

Research Impact

The academic impact of Li’s work is reflected through citations, interdisciplinary collaborations, and publication in peer-reviewed journals covering biotechnology, synthetic biology, materials science, and supramolecular chemistry. Research outputs have relevance for both academic investigation and industrial biotechnology applications.[3][7]

The integration of engineering principles with biological systems research has contributed to emerging methodologies in automated experimentation and metabolic pathway optimization. Such interdisciplinary work supports broader scientific efforts aimed at improving efficiency, reproducibility, and accessibility in laboratory research environments.[2]

Award Suitability

Shuai Li’s multidisciplinary research background aligns with the objectives of the Global Innovation Technologist Awards, which recognize scientific and technological advancements with measurable academic and practical significance. Contributions spanning metabolic engineering, CRISPR research, supramolecular chemistry, and open-source automation technologies demonstrate consistent engagement with innovation-oriented scientific inquiry.[1]

The combination of peer-reviewed publications, measurable citation performance, and interdisciplinary technical expertise supports recognition within the field of biology and life sciences. Li’s work illustrates the integration of engineering design principles with biological and chemical sciences to address contemporary research challenges.[4]

Conclusion

The scholarly profile of Shuai Li reflects interdisciplinary scientific engagement across synthetic biology, supramolecular chemistry, and laboratory engineering technologies. Through publications in recognized journals and contributions to biological automation systems, Li has participated in research initiatives with relevance to modern biotechnology and life sciences. The body of work demonstrates methodological diversity, collaborative scientific activity, and continuing participation in innovation-oriented academic research.[1][2]

References

  1. Elsevier. (n.d.). Scopus author details: Shuai Li, Author ID 60597499200. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=60597499200
  2. Li, S. et al. (2021). BioSamplr: An open source, low cost automated sampling system for bioreactors. HardwareX.
    https://doi.org/10.1016/j.ohx.2021.e00177
  3. Li, S. et al. (2021). Dynamic control over feedback regulatory mechanisms improves NADPH flux and xylitol biosynthesis in engineered E. coli. Metabolic Engineering.
    https://doi.org/10.1016/j.ymben.2021.01.005
  4. ORCID. (n.d.). Shuai Li ORCID profile and educational background.
    https://orcid.org/0000-0002-1537-3956
  5. Crossref Metadata Search. (n.d.). Publication metadata associated with Shuai Li.
  6. Li, S. et al. (2020). Escherichia coli Cas1/2 Endonuclease Complex Modifies Self-Targeting CRISPR/Cascade Spacers Reducing Silencing Guide Stability. ACS Synthetic Biology.
    https://doi.org/10.1021/acssynbio.0c00398
  7. Li, S. et al. (2020). Supramolecular chiroptical switches. Chemical Society Reviews.
    https://doi.org/10.1039/d0cs00191k
  8. Li, S. et al. (2017). Alanine-Based Chiral Metallogels via Supramolecular Coordination Complex Platforms: Metallogelation Induced Chirality Transfer. Journal of the American Chemical Society.
    https://doi.org/10.1021/jacs.7b10769

Tadesse Tarik Tamir | Medicine | Editorial Board Member

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Mr. Tadesse Tarik Tamir | Medicine | Editorial Board Member

Senior Lecturer at College of Medicine and Health Sciences, University of Gondar | Ethiopia

Mr. Tadesse Tarik Tamir is a dedicated scholar and lecturer in Pediatrics and Child Health Nursing at the University of Gondar, Ethiopia, with a strong research footprint in maternal and child health. He has authored more than 65 peer-reviewed publications, contributing extensively to areas such as neonatal and infant mortality, childhood nutrition, immunization coverage, maternal vaccination, and pediatric mental health. His work is characterized by rigorous analytical approaches, including spatial, multilevel, and hierarchical modeling applied to large demographic and health survey datasets across Africa. Tadesse’s research offers critical insights into public health challenges affecting vulnerable populations, particularly mothers, infants, and young children in low- and middle-income settings. In addition to his academic role, he actively supports knowledge generation through teaching and community engagement, fostering a supportive environment for emerging researchers. Currently advancing his expertise through studies in epidemiology, he demonstrates a strong commitment to evidence-based practice and interdisciplinary collaboration. His contributions continue to inform policy, improve health service delivery, and shape interventions aimed at reducing preventable morbidity and mortality among children and women across sub-Saharan Africa.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Tamir, T. T., Zegeye, A. F., Workneh, B. S., Ali, M. S., Gonete, A. T., Techane, M. A., Wassie, M., Kassie, A. T., Ahmed, M. A., & Tsega, S. S., et al. (2025). Childhood wasting and associated factors in Africa: Evidence from standard demographic and health surveys from 35 countries. BMC Public Health.

Tamir, T. T., Tekeba, B., Techane, M. A., Alemu, T. G., Wubneh, C. A., & Wassie, Y. A. (2025). Coverage of complete basic childhood vaccination and its variation by basic characteristics among children aged 12–23 months in 41 low- and middle-income countries: A meta-analysis of demographic and health survey reports between 2015 and 2025. Vaccine.

Kassie, A. T., Zegeye, A. F., Bazezew, A. M., Mamo, E. Y., Gebru, D. M., & Tamir, T. T. (2025). Determinants of pressure to conceive among reproductive age women in sub-Saharan Africa: A multilevel analysis of recent demographic and health surveys in five countries. PLOS Global Public Health.

Mekonen, E. G., Workneh, B. S., Zegeye, A. F., & Tamir, T. T. (2025). Only three out of ten women received adequate postnatal care in sub-Saharan Africa: Evidence from 20 countries demographic and health surveys (2015–2022). BMC Pregnancy and Childbirth.

Tekeba, B., Tamir, T. T., & Zegeye, A. F. (2025). Prevalence and determinants of full vaccination coverage according to the national schedule among children aged 12–35 months in Ghana. Scientific Reports.

Samet Kocabay | Molecular Biology | Best Researcher Award

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Mr. Samet Kocabay | Molecular Biology | Best Researcher Award

İnonu university, Turkey

Asst. Prof. Dr. Samet Kocabay is an academic in the Department of Molecular Biology and Genetics at İnönü University. He specializes in molecular biology, microbial biotechnology, and enzymology. With a strong background in research related to probiotics, enzymes, and bioactive compounds, he has contributed to numerous peer-reviewed journals, including those indexed in SCI and SCI-Expanded. His work involves interdisciplinary studies spanning life sciences, industrial biotechnology, and bioinformatics. He currently serves as the Deputy Head of Department at İnönü University.

Publication Profile 

Scopus

Educational Background 🎓

  • Ph.D. in Molecular Biology and Genetics
    Sivas Cumhuriyet University, Institute of Science, Turkey (2015–2020)

  • M.Sc. in Molecular Biology and Genetics
    Sivas Cumhuriyet University, Institute of Science, Turkey (2012–2015)
    Thesis: “GAİTA BAKTERİLERİNDEN EKTRASELÜLER AMİLAZ ÜRETİMİ, İZOLASYONU VE KARAKTERİZASYONU”

  • B.Sc. in Molecular Biology and Genetics
    Cumhuriyet University, Faculty of Science, Turkey (2008–2012)

Professional Experience 💼

  • Deputy Head of Department
    İnönü University, Faculty of Arts and Sciences, Department of Molecular Biology and Genetics (2021–Present)

  • Lecturer & Assistant Professor
    İnönü University (Years not specified)

Research Interests 🔬

  • Molecular Biology and Genetics

  • Microbial Biotechnology

  • Enzymology

  • Bioinformatics

  • Biochemistry

  • Industrial Biotechnology

  • Molecular Biology of Cancer

  • Life and Health Sciences

  • Probiotics and functional foods

Conferences & Presentations

  • Multiple oral and poster presentations at international conferences such as EurasianBioChem and Türk-Pak Conference on Chemical Sciences (2017–2020), covering topics like:

    • Probiotic potential of Lactobacillus strains

    • Bioinformatics tools (e.g., Perl-based algorithms for protein functional site prediction)

    • Enzyme tolerance to solvents

Certificates and Trainings

  • Education Management and Planning, İnönü University (2016)

  • HPLC Analysis Methods and Applications, İnönü University (2016)

  • Animal Experimentation and Breeding, İnönü University (2014)

Foreign Language Skills

  • English – B2 (Upper Intermediate)

Conclusion🌟

Asst. Prof. Dr. Samet Kocabay is an accomplished scientist with a multidisciplinary research portfolio centered around molecular microbiology and biotechnology. His academic journey from Cumhuriyet University to İnönü University showcases a consistent focus on the biochemical and functional properties of microbial compounds, particularly probiotics and enzymes. His contributions to scientific literature, involvement in department leadership, and active conference participation underline his commitment to advancing molecular biology and genetics both nationally and internationally.

Publications 📚

  1. 📄 Chemical and biological characterization of sulfated chitosan oligomer as heparin mimics
    🔬 Polymers & Polymer Composites, 2021
    👥 Kocabay, S., Yıldız, M., Genç, R.

  2. 📄 Probiotic Properties of a Lactobacillus fermentum Isolated from New-born Faeces
    🧫 Journal of Oleo Science, 2020
    👥 Kocabay, S., Genç, R.

  3. 📄 Preparation of sulfatide mimicking oleic acid sulfated chitosan
    🧬 International Journal of Biological Macromolecules, 2020
    👥 Kocabay, S., Yıldız, M., Genç, R.

  4. 📄 Production, purification, and characterization of metalloprotease from Candida kefyr 41 PSB
    🔍 International Journal of Biological Macromolecules, 2017
    👥 Kocabay, S., Genç, R.

  5. 📄 Characterization of thermostable beta-amylase isozymes from Lactobacillus fermentum
    🔬 International Journal of Biological Macromolecules, 2016
    👥 Kocabay, S., Genç, R.

  6. 📄 Screening of probiotic properties of Bacillus licheniformis isolated from yoghurt
    🧪 Cumhuriyet Science Journal (CSJ), 2023
    👥 Kocabay, S.

  7. 📄 Investigation of probiotic properties of Lactobacillus fermentum
    🔍 International Journal of Life Sciences and Biotechnology, 2020
    👥 Kocabay, S.

  8. 🎙️ Probiotic potential of Lactobacillus fermentum strain
    📍 3rd International EurasianBioChem Congress, Malatya, 2020

  9. 🧬 Bioinformatics algorithm for protein functional site prediction using Perl
    📍 3rd International Congress on Applied Biology, Iğdır, 2019

  10. 🔬 Evaluation of protease enzyme tolerance to solvents
    📍 2nd Türk-Pak Conference on Chemical Sciences, Malatya, 2019