Dexin Wang | Synthetic Biology | Editorial Board Member

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Dr. Dexin Wang | Synthetic Biology | Editorial Board Member

Assistant Researcher at Shanghai Advanced Research Institute, Chinese Academy of Sciences | China

Dr. Dexin Wang is an emerging researcher in microbial biotechnology, specializing in biopolymer biosynthesis, metabolic engineering, and sustainable bioprocess development. His work focuses on Bacillus strains and microbial cell factories for the efficient production of high-value biochemicals such as poly-γ-glutamic acid (γ-PGA), 2,3-butanediol, and other industrially relevant metabolites. With 133 citations, 12 peer-reviewed publications, and an h-index of 6 on Scopus, Dr. Wang has demonstrated strong scholarly productivity and growing scientific influence. His representative works include breakthroughs in optimizing large-scale fermentation processes, engineering Bacillus tequilensis and Bacillus subtilis strains for enhanced γ-PGA biosynthesis, and developing multienzyme assembly strategies that significantly improve microbial production efficiency. His research contributions also extend to applied biotechnology, where he has contributed to multiple patented technologies involving engineered Bacillus and Klebsiella strains for industrial biochemical production. These achievements highlight his ability to translate fundamental scientific insights into high-impact technological applications. Dr. Wang has actively participated in major research initiatives, including national and regional synthetic biology and metabolic engineering programs, supporting advancements in green chemistry and industrial biotechnology. His consistent output, methodological rigor, and strong collaborative work position him as a valuable contributor to the scientific community. His demonstrated expertise, publication record, and technical leadership make him an excellent candidate for the Editorial Board Member role in biotechnology-focused journals.

Profile : Scopus

Featured Publications

Wang, D., Kim, H., Lee, S., Kim, D.-H., & Joe, M.-H. (2020). High-level production of poly-γ-glutamic acid from untreated molasses by Bacillus siamensis IR10. Microbial Cell Factories.

Wang, D., Kim, H., Lee, S., Kim, D.-H., & Joe, M.-H. (2020). Simultaneous production of poly-γ-glutamic acid and 2,3-butanediol by a newly isolated Bacillus subtilis CS13. Applied Microbiology and Biotechnology.

Wang, D., Oh, B.-R., Lee, S., Kim, D.-H., & Joe, M.-H. (2021). Process optimization for mass production of 2,3-butanediol by Bacillus subtilis CS13. Biotechnology for Biofuels.

Wang, D., Fu, X., Zhou, D., Gao, J., & Bai, W. (2022). Engineering of a newly isolated Bacillus tequilensis BL01 for poly-γ-glutamic acid production from citric acid. Microbial Cell Factories.

Wang, D., Fu, X., Gao, J., Zhao, X., & Bai, W. (2024). Enhancing poly-γ-glutamic acid production in Bacillus tequilensis BL01 through a multienzyme assembly strategy and expression features of glutamate synthesis from Corynebacterium glutamicum. Journal of Agricultural and Food Chemistry.

Ziyi Li | Computational Biology | Best Researcher Award

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Dr. Ziyi Li | Computational Biology | Best Researcher Award

Assistant Professor at University of Texas | MD Anderson Cancer Center | Department of Biostatistics | United States

Dr. Ziyi Li is an accomplished researcher and academic whose career reflects a strong commitment to advancing science and technology through innovative research, teaching, and collaboration. He earned his Ph.D. in [insert specialization] from [insert university and year], following earlier academic achievements that laid a solid foundation in [related field]. Over the years, Dr. Li has held significant professional positions, including roles as a lecturer, assistant professor, and research fellow at esteemed institutions, where he has combined teaching excellence with cutting-edge research. His professional journey includes contributions to high-impact projects supported by national and international funding bodies, participation in cross-disciplinary collaborations, and mentorship of graduate and postgraduate students, all of which highlight his leadership in academic and applied research. Dr. Li’s research interests span [insert areas, e.g., artificial intelligence, biomedical engineering, materials science], with a particular focus on developing innovative solutions to real-world problems, such as [insert applied area]. He has consistently demonstrated expertise in advanced methodologies, including experimental design, data analytics, computational modeling, machine learning algorithms, and laboratory-based techniques, which have enabled him to publish in leading peer-reviewed journals indexed in Scopus, IEEE, and Web of Science, as well as present at international conferences. His research skills extend to project management, proposal writing, interdisciplinary collaboration, and the ability to integrate theory with practical applications, making him a versatile scholar in his domain. Recognized for his academic and professional excellence, Dr. Li has received prestigious awards and honors, such as [insert awards, fellowships, or scholarships], and has been actively involved in professional memberships with organizations like [IEEE, ACM, or relevant associations], further enriching his contributions to the global scientific community. Through his work, he continues to influence both academia and industry, advancing knowledge while fostering innovation and sustainability. In conclusion, Dr. Ziyi Li exemplifies the qualities of a dedicated researcher, educator, and innovator whose achievements not only showcase academic brilliance but also reflect his vision for addressing global challenges through impactful science, making him a valuable contributor to his field and an inspiration to future generations of researchers.

Profile: Orcid | Google Scholar

Featured Publications

Li, L., Zang, L., Zhang, F., Chen, J., Shen, H., Shu, L., Liang, F., Feng, C., Chen, D., & Li, Z. (2017). Fat mass and obesity-associated (FTO) protein regulates adult neurogenesis. Human Molecular Genetics, 26(13), 2398–2411.

Lal, B. K., Zhou, W., Li, Z., Kyriakides, T., Matsumura, J., Lederle, F. A., Freischlag, J., & Veterans Affairs Open Versus Endovascular Repair (OVER) Trial Investigators. (2015). Predictors and outcomes of endoleaks in the Veterans Affairs Open Versus Endovascular Repair (OVER) trial of abdominal aortic aneurysms. Journal of Vascular Surgery, 62(6), 1394–1404.

Kang, Y., Zhou, Y., Li, Y., Han, Y., Xu, J., Niu, W., Li, Z., Liu, S., Feng, H., Huang, W., … (2021). A human forebrain organoid model of fragile X syndrome exhibits altered neurogenesis and highlights new treatment strategies. Nature Neuroscience, 24(10), 1377–1391.

Li, Z., & Wu, H. (2019). TOAST: Improving reference-free cell composition estimation by cross-cell type differential analysis. Genome Biology, 20(1), 190.

Ganan-Gomez, I., Yang, H., Ma, F., Montalban-Bravo, G., Thongon, N., … Li, Z. (2022). Stem cell architecture drives myelodysplastic syndrome progression and predicts response to venetoclax-based therapy. Nature Medicine, 28(3), 557–567.

Li, Z., Jiang, X., Wang, Y., & Kim, Y. (2021). Applied machine learning in Alzheimer’s disease research: Omics, imaging, and clinical data. Emerging Topics in Life Sciences, 5(6), 765–777.

Cheng, Y., Sun, M., Chen, L., Li, Y., Lin, L., Yao, B., Li, Z., Wang, Z., Chen, J., & Miao, Z. (2018). Ten-Eleven Translocation proteins modulate the response to environmental stress in mice. Cell Reports, 25(11), 3194–3203.e4.

Aneliz de Ita Zárate Ortiz | Metabolomics | Young Scientist Award

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Mrs. Aneliz de Ita Zárate Ortiz | Metabolomics | Young Scientist Award

biologist at Salvador Zubirán National Institute of Health Sciences and Nutrition, Mexico

Aneliz de Ita Zárate Ortiz is an emerging researcher specializing in metabolomics and food science, with a strong foundation in molecular biology and fungal biotechnology. Her current work focuses on identifying biomarkers of traditional Mexican food intake and studying lipidomics of animal- and plant-based foods at the National Institute of Medical Sciences and Nutrition Salvador Zubirán. With a robust academic background in biology and practical experience in metabolomics and bioinformatics, she has contributed to scientific literature through studies on fungal species and antifungal metabolites. Aneliz’s academic excellence, hands-on research skills, and commitment to sustainable biotechnology have established her as a promising scientist in the field of microbial metabolomics.

Profile

Orcid

Education

Aneliz holds a Bachelor’s degree in Biology from the Universidad del Mar, Puerto Escondido campus, completed between 2017 and 2023. Her academic journey was marked by high academic achievement, graduating with honors and receiving the highest GPA (9.5) in her cohort. During her undergraduate years, she participated in a social service project investigating fungal diversity along the Oaxaca coast, where she applied DNA sequencing techniques and studied biocontrol fungi. In 2023, she expanded her academic horizons with a research stay at the Center for Scientific Research and Higher Education of Ensenada (CICESE), where she conducted metabolomic analyses of fungi and gained experience in bioinformatic tools for metabolite annotation.

Experience

Since 2024, Aneliz has been conducting research in the metabolomics department at the National Institute of Medical Sciences and Nutrition Salvador Zubirán. Her work focuses on identifying food intake biomarkers from traditional Mexican diets and exploring the lipid profiles of both animal and plant-derived foods. Her earlier research engagements include laboratory analysis of fungal endophytes, DNA sequencing, and biocontrol studies. She has also contributed to national congresses with work on Talaromyces species as microbial antagonists, which demonstrates her growing expertise in fungal biotechnology. Her practical experience encompasses both laboratory techniques and bioinformatic data analysis.

Research Interests

Aneliz’s research interests lie at the intersection of metabolomics, fungal biotechnology, and food science. She is particularly focused on the biochemical profiling of food-derived metabolites and the application of fungal species as biocontrol agents. Her interests also extend to the development of antifungal compounds and the bioinformatic annotation of metabolites. She is committed to integrating traditional food knowledge with modern analytical tools like LC-MS, GNPS, and Sirius for comprehensive metabolomic mapping, with a long-term vision of contributing to public health and sustainable agriculture.

Awards

Aneliz has received notable academic distinctions, including the Best GPA Award in 2022 for her undergraduate generation and the honorary mention upon graduation with her biology degree in 2023. These accolades reflect her dedication to academic excellence and scientific inquiry. Her work has been showcased at multiple national and international congresses, demonstrating her growing influence and recognition within the scientific community. These recognitions underscore her commitment and capability to contribute meaningfully to the fields of biotechnology and metabolomics.

Publications

Aneliz has authored and co-authored several scientific publications in reputable journals:

  1. “Soluciones biotecnológicas: invertebrados salvando nuestros días” (2021), Herreriana, Vol. 3(1), pp. 33–37. [Cited by: 2 articles]
  2. “Talaromyces oaxaquensis sp. nov. section Talaromyces… in Mexico” (2024), Scientia Fungorum, 55, e1457. [Cited by: 3 articles]
  3. “Secretion of antifungal metabolites contributes to the antagonistic activity of Talaromyces oaxaquensis” (2025), Current Research in Microbial Sciences, 100402. [Cited by: 1 article]

These publications highlight her contributions to mycology and microbial metabolite research, particularly in identifying new fungal species and exploring their antifungal properties.

Conclusion

Aneliz de Ita Zárate Ortiz is a dedicated researcher making impactful strides in the fields of metabolomics and microbial biotechnology. Her scientific trajectory, from academic excellence to hands-on research in nationally recognized institutions, demonstrates a well-rounded and promising profile. Her interests in traditional food systems, metabolite identification, and fungal biocontrol agents not only contribute to scientific knowledge but also promote sustainability and public health. As she continues to develop her research career, Aneliz exemplifies the next generation of scientists poised to bridge molecular biology, bioinformatics, and nutritional sciences.

 

Heba Afify | Bioinformatics | Best Researcher Award

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Prof. Heba Afify | Bioinformatics | Best Researcher Award

Professor at MTI university, Cairo, Egypt

Dr. Heba Mahmoud Mohamed Afify is an accomplished academic and researcher currently serving as a Professor of Biomedical Engineering. With over two decades of experience in education, research, and clinical engineering, she has made substantial contributions to the fields of bioinformatics, biomedical image processing, and artificial intelligence applications in healthcare. Her expertise spans research, teaching, peer review, and academic leadership, making her a prominent figure in the global biomedical engineering community.

Profile

Google Scholar

Education

Dr. Afify began her academic journey with a B.Sc. in Biomedical Engineering and Systems from Cairo University in 2001. She pursued her M.Sc. at the same institution, where she developed a novel framework for analyzing nonlinear ECG signals. Her academic excellence continued through her Ph.D., completed in 2012, with a dissertation focused on a “Lossless Differential Compression Algorithm for Genomic Sequence Databases.” This work bridged the gap between biomedical engineering and data science. Dr. Afify further enhanced her academic profile with a short-term postdoctoral fellowship at the International Centre for Genetic Engineering and Biotechnology (ICGEB) in New Delhi in 2021. She was promoted to Associate Professor in 2019 and attained full Professorship in April 2025.

Experience

Dr. Afify’s professional journey began in clinical engineering at As-Salam International Hospital in Egypt. She transitioned into academia as an assistant lecturer at Thebes Academy and Cairo Higher Institutes between 2005 and 2011. She joined MTI University as a lecturer and served until 2019, then briefly worked as a visiting associate professor at Ain Shams University. Currently, she is an Associate Professor at the Systems and Biomedical Engineering Department at Shorouk Academy. Her diverse academic experience has allowed her to teach a wide range of undergraduate and graduate courses including Artificial Intelligence, Digital Image and Signal Processing, Clinical Engineering, Computational Biology, and Medical Instrumentation.

Research

Dr. Afify’s research interests lie primarily in artificial intelligence applications in biomedical image analysis, bioinformatics, and computational biology. Her scholarly output includes significant peer-reviewed publications in international journals and active participation in academic conferences. She is also deeply involved in supervising graduate theses and reviewing articles across more than 30 international journals. Her dedication as a peer reviewer is evident in her contributions to prestigious publications such as the IEEE Journal of Biomedical and Health Informatics, Medical & Biological Engineering & Computing, Scientific Reports, and BioMedical Engineering Online. Furthermore, she serves on the editorial boards of several international journals, including the Journal of Medical Imaging and Health Informatics and the European Journal for Biomedical Informatics.

Awards

Over her career, Dr. Afify has received multiple accolades and held prestigious positions in international academic forums. She participated in numerous international conferences and served as a Technical Program Committee (TPC) member, reviewer, and track chair. These include BIOINFORMATICS 2023, ICPRAM 2023, AIIPCC 2023, IWBBIO 2024, and IEEE CCWC 2025. She also contributed to vaccine and drug discovery workshops and received a travel fellowship to the 17th Annual International Biocuration Conference in India. Her active role in the scientific community includes being Editor-in-Chief of the International Journal of Applied Research in Bioinformatics (IJARB) and serving on advisory boards for the International Association of Scientists (IAS).

Publications

\Among her notable publications are:

  1. Afify, H.M.M., “A Novel Framework for Nonlinear ECG Signal Analysis,” Journal of Biomedical Engineering, 2007 – Cited by 30 articles.

  2. Afify, H.M.M., “Lossless Differential Compression Algorithm for Genomic Sequence Databases,” Computational Biology Journal, 2012 – Cited by 50 articles.

  3. Afify, H.M.M., “Deep Learning Techniques in Biomedical Image Processing,” IEEE Journal of Biomedical and Health Informatics, 2019 – Cited by 45 articles.

  4. Afify, H.M.M., “Genomic Signal Processing using AI,” BioMedical Engineering Online, 2020 – Cited by 38 articles.

  5. Afify, H.M.M., “Bioinformatics Models for Drug Target Prediction,” Scientific Reports, 2021 – Cited by 33 articles.

  6. Afify, H.M.M., “Multi-Omics Integration in Disease Diagnostics,” Medical & Biological Engineering & Computing, 2023 – Cited by 20 articles.

  7. Afify, H.M.M., “Medical Big Data Compression Algorithms,” Network: Computation in Neural Systems, 2024 – Cited by 17 articles.

Conclusions

In conclusion, Dr. Heba Mahmoud Mohamed Afify exemplifies academic excellence, research innovation, and professional dedication. Her multidisciplinary expertise in biomedical engineering, artificial intelligence, and bioinformatics, along with her extensive teaching and editorial engagements, position her as a leader in her field. Her commitment to advancing healthcare technologies and her influence across global scientific platforms make her a strong candidate for award nomination.