Qinyu Ge | Environmental Hypotheses | Best Researcher Award

Qinyu Ge | Environmental Hypotheses | Best Researcher Award

Prof Qinyu Ge, Southeast University, China

Prof. Qinyu Ge 🎓🔬 earned his Ph.D. in Biomedical Engineering from Southeast University in 2006. As a dedicated researcher at Southeast University, his work focuses on sample treatment and library preparation for high-throughput DNA sequencing 🧬, including spatial transcriptomics and whole-genome methylation studies. His expertise extends to designing DNA microarrays for cell-free nucleic acid, methylation, and DNA polymorphism detection 🧪. Prof. Ge has published extensively on topics like environmental DNA integrity, non-invasive embryo biomarkers, single-cell analysis, and deep learning in genomics 🤖📊, contributing significantly to biomedical research advancements globally 🌍.

Publication Profile

Scopus

Education

Prof. Qinyu Ge 🎓 is a distinguished scholar who earned his Ph.D. in Biomedical Engineering from Southeast University in 2006 🏫. Since then, he has devoted his academic career to the same institution, making remarkable contributions to biomedical research 🔬. His work has advanced the field through innovative studies and impactful publications 📚. Prof. Ge’s dedication to scientific excellence and education has played a key role in shaping the future of biomedical engineering 🌟. His commitment to research and mentoring young scholars continues to inspire the next generation of scientists 👩‍🔬👨‍🔬.

Research Interests

Prof. Qinyu Ge’s research focuses on innovative techniques in sample treatment and library preparation for high-throughput DNA sequencing. His work explores key areas such as spatial transcriptomics, providing insights into gene expression within tissue architecture 🧬, whole genome methylation studies to understand epigenetic modifications 🧪, and advanced DNA microarray design for precise genetic analysis 🔬. Through his contributions, Prof. Ge aims to enhance the accuracy and efficiency of genomic technologies, supporting breakthroughs in biomedical research and personalized medicine 🌍. His expertise continues to drive advancements in the rapidly evolving field of genomics and molecular biology.

Applications

Prof. Qinyu Ge is a leading expert in genomic technologies, making significant strides in cell-free nucleic acid analysis, methylation detection, and DNA polymorphism studies. 🧬🔬 His pioneering research has been instrumental in enhancing the accuracy and efficiency of genetic diagnostics, contributing to early disease detection and personalized medicine. 💡🧫 Through innovative approaches, Prof. Ge’s work bridges the gap between molecular biology and clinical applications, driving advancements in genomics and biotechnology. 🚀🌍 His dedication to scientific excellence continues to inspire breakthroughs, shaping the future of genetic research and healthcare. 📊🧪

Research Focus

Prof. Qinyu Ge’s research focuses on molecular biology, genomics, and bioinformatics 🧬🧪. His work explores transcriptomic analysis, environmental DNA (eDNA) applications, and non-invasive biomarkers for medical diagnostics 🧫🔬. He contributes to single-cell data analysis, DNA data storage, and the use of deep learning in predicting transcription factor binding sites 🤖📊. His studies cover areas like embryo selection, prostate cell typing, and neuroscience, including links to Parkinson’s disease 🧠🧍. By integrating advanced sequencing techniques with AI-based models, Prof. Ge enhances our understanding of gene expression, disease mechanisms, and biological data analysis. 🌍📈

Publication Top Notes

Acquisition and transcriptomic analysis of tissue micro-regions using a capillary-based method

Environmental DNA integrity index is sensitive for species biomass estimation in freshwater

The biological characteristics of long cell-free DNA in spent embryos culture medium as noninvasive biomarker in in-vitro embryo selection

Performance analysis of markers for prostate cell typing in single-cell data

Advances and Challenges in Random Access Techniques for In Vitro DNA Data Storage

Spatial transcriptomic profiling of isolated microregions in tissue sections utilizing laser-induced forward transfer

Transcriptome Study of rd1Mouse Brain and Association with Parkinson’s Disease

Effect of Different Staining Methods on Brain Cryosections

Prediction of Transcription Factor Binding Sites on Cell-Free DNA Based on Deep Learning

Deep-Cloud: A Deep Neural Network-Based Approach for Analyzing Differentially Expressed Genes of RNA-seq Data

 

Claudia Diana Sabau Popa | Environmental Science | Best Researcher Award

Claudia Diana Sabau Popa | Environmental Science | Best Researcher Award

Prof Dr Claudia Diana Sabau Popa, University Of Oradea, Romania

Prof. Dr. Claudia Diana Sabău-Popa is a distinguished academic at the University of Oradea, specializing in Finance. Since 2004, she has progressed from Junior Teaching Assistant to Ph.D. Supervisor, contributing significantly to the Doctoral School of Economic Sciences. She also serves on the supervisory board of the Romanian Counter-Guarantee Fund. As Vice Dean, she oversees academic and administrative management. Prof. Sabău-Popa is active in national professional associations like CECCAR, CAFR, CCF, and UNPIR. Her research includes numerous published articles and participation in conferences. 📚🎓📊💼.

Publication profile

google scholar

Education

Dr. Claudia Diana Sabău-Popa is a distinguished academic at the University of Oradea, specializing in finance and European economic relations. She holds a PhD in Finance from Babeş-Bolyai University, with a focus on community funds and the EU budget. She has numerous qualifications, including a habilitation from the Bucharest University of Economic Studies and various certificates in auditing, training, and entrepreneurial skills. Since 2016, she has held leadership roles within the university, actively contributing to the Faculty of Economic Sciences. Her expertise and dedication have made her a prominent figure in higher education management. 📚🌟💼

Experience

Dr. Claudia Diana Sabău-Popa is a distinguished Professor at the University of Oradea, specializing in Finance and Accounting since 2016. She supervises Ph.D. students, coordinates theses, and actively participates in research and conferences. As a member of the Romanian Counter-Guarantee Fund’s supervisory board, she oversees financial strategies and policies. Previously, she served as an Associate Professor (2013-2016) and University Lecturer (2009-2013). Her extensive teaching portfolio includes Capital Markets, EU Finances, and IFRS. Dr. Sabău-Popa is dedicated to advancing higher education and financial research in Romania. 🌟📚💼

Awards

On May 24, 2016, a distinguished Diploma for results in scientific research in the field of Finance (no. 8361/24.05.2016) was awarded by MENCS, University of Oradea. This recognition celebrates outstanding contributions and achievements in finance research. The recipient’s work, published in internationally recognized ISI specialist journals, has garnered significant acclaim and reflects a dedication to advancing knowledge in the field. This honor highlights the importance of rigorous scientific inquiry and the impact of quality research on the global academic community. 🏆📜🌍

Research focus

Prof. Dr. Claudia Diana Sabău-Popa’s research primarily focuses on financial performance evaluation, risk management, and market analysis. Her work utilizes advanced methodologies such as fuzzy AHP, TOPSIS, neural networks, and principal component analysis to assess and predict the financial health and performance of companies, especially in the Romanian market. Additionally, she explores the impact of macroeconomic variables on stock prices and consumer decisions within grey online social networks. Her interdisciplinary approach integrates economic, technological, and computational techniques to provide comprehensive insights into financial and market dynamics. 📊💻📉📈

Publication top notes

Performance evaluation model of Romanian manufacturing listed companies by fuzzy AHP and TOPSIS

Composite financial performance index prediction–a neural networks approach

Analyzing financial health of the SMES listed in the AERO market of Bucharest Stock Exchange using Principal Component Analysis

Consumers’ Decisions in grey online social networks

Developing an adaptive fuzzy controller for risk management of company cash flow

EFFECTS OF MACROECONOMIC VARIABLES ON STOCK PRICES OF THE BUCHAREST STOCK EXCHANGE (BSE).

Performance mapping in two-step cluster analysis through ESEG disclosures and EPS

Development of a fuzzy logic system to identify the risk of projects financed from structural funds

Using dashboards in business analysis

Influence of the capital structure on the company’s performance: Study of the energy sector companies listed on BSE