Daniel Glossman-Mitnik | Computational Biology | Best Academic Researcher Award

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Dr. Daniel Glossman-Mitnik | Computational Biology | Best Academic Researcher Award

Emeritus Researcher|Center for Research in Advanced Materials | Mexico

Dr. Daniel Glossman-Mitnik is a prominent researcher at the Centro de Investigación en Materiales Avanzados (CIMAV), Chihuahua, Mexico, recognized internationally for his extensive contributions to computational and theoretical chemistry. His work primarily employs Density Functional Theory (DFT) and Conceptual DFT (CDFT) to investigate the structural, electronic, and reactive properties of molecules and materials relevant to nanotechnology, materials science, and bioactive compounds. With a prolific record of 62 peer-reviewed publications, his research has accumulated over 817 citations, achieving an h-index of 19, which reflects the sustained impact and academic quality of his scientific output. Dr. Glossman-Mitnik’s recent studies encompass a wide spectrum of applications, including the design of triphenylamine-based sensitizers and Cu(I) complexes for dye-sensitized solar cells (DSSCs), as well as computational evaluations of marine natural products and therapeutic peptides for drug discovery. His scholarly endeavors are characterized by interdisciplinary collaboration, having co-authored with more than 120 researchers worldwide, fostering innovation through theoretical–experimental integration. Beyond his methodological expertise, his research has meaningful social and technological implications, contributing to advancements in renewable energy materials, environmentally sustainable chemical design, and computational approaches to pharmacology. By combining rigorous quantum-chemical modeling with practical applications, Dr. Glossman-Mitnik’s work exemplifies how theoretical insights can drive real-world scientific progress. His career reflects a profound commitment to advancing the global understanding of molecular behavior and material performance, positioning him as a leading figure in contemporary computational chemistry.

Profiles: Scopus | Google Scholar

Featured Publications

1. Rodríguez-Valdez, L. M., Villamisar, W., Casales, M., González-Rodríguez, J. G., & others. (2006). Computational simulations of the molecular structure and corrosion properties of amidoethyl, aminoethyl and hydroxyethyl imidazolines inhibitors. Corrosion Science, 48(12), 4053–4064.
Cited by: 248

2. Rodríguez-Valdez, L. M., Martínez-Villafañe, A., & Glossman-Mitnik, D. (2005). Computational simulation of the molecular structure and properties of heterocyclic organic compounds with possible corrosion inhibition properties. Journal of Molecular Structure: THEOCHEM, 713(1), 65–70.
Cited by: 233

3. Glossman-Mitnik, D. (2013). Computational study of the chemical reactivity properties of the Rhodamine B molecule. Procedia Computer Science, 18, 816–825.
Cited by: 131

4. Mendoza-Wilson, A. M., & Glossman-Mitnik, D. (2006). Theoretical study of the molecular properties and chemical reactivity of (+)-catechin and (−)-epicatechin related to their antioxidant ability. Journal of Molecular Structure: THEOCHEM, 761(1), 97–106.
Cited by: 130

5. Gallo, M., Favila, A., & Glossman-Mitnik, D. (2007). DFT studies of functionalized carbon nanotubes and fullerenes as nanovectors for drug delivery of antitubercular compounds. Chemical Physics Letters, 447(1), 105–109.
Cited by: 128

Dr. Daniel Glossman-Mitnik’s work advances global innovation by integrating computational chemistry with materials science and biomedicine, enabling the rational design of sustainable materials and therapeutic compounds. His research bridges theory and application, contributing to cleaner energy technologies, drug discovery, and the broader understanding of molecular behavior for societal and industrial benefit.

Mansoureh Azadeh | Bioinformatics | Women Researcher Award

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Dr. Mansoureh Azadeh | Bioinformatics | Women Researcher Award

Lab Manager | Zist Fanavari Novin Biotechnology Institute | Iran

Dr. Mansoureh Azadeh is a distinguished molecular and cellular biologist and the Founder and Director of Zist Fanavari Novin Biotechnology Institute in Isfahan, Iran. With over two decades of leadership in academia, research, and biotechnology entrepreneurship, she has significantly advanced cancer genomics, gene expression analysis, and personalized medicine. Her research spans diverse areas including breast cancer, cardiovascular disease, multiple sclerosis, drug resistance, and athletic genomics. In 2023, she founded PreventiGene, a genetics startup focused on early cancer detection. Dr. Azadeh has served as Chair of the Board at Control Tavan Novin Pouya since 2006, and has also managed the COVID-19 department at Jey Medical Diagnosis Laboratory. An active educator, she has taught for 20 semesters at Azad University and leads national technical training programs in biotechnology. She has authored books on laboratory methods and cancer diagnostics, serves as an editor for medical journals, and regularly collaborates with academic and industry partners to promote scientific innovation. She is widely recognized for her expertise in advanced technologies such as CRISPR, RNA sequencing, and high-throughput data analysis, and has developed and supervised numerous genetic research initiatives. Her technical skills span PCR/qPCR, ELISA, Western blotting, microbiology, and cell culture. As of October 2025, Dr. Azadeh has authored 34 indexed publications, with 313 citations, and holds an h-index of 13 , reflecting her impactful contribution to life sciences and translational research.

Profiles: Scopus | Google Scholar | LinkedIn | ResearchGate

Featured Publications

1. Bagheri, F., Mesrian Tanha, H., Mojtabavi Naeini, M., Ghaedi, K., & Azadeh, M. (2016). Tumor-promoting function of single nucleotide polymorphism rs1836724 (C3388T) alters multiple potential legitimate microRNA binding sites at the 3′-untranslated region of ErbB4. Molecular Medicine Reports, 13(5), 4494–4498. 
Cited by: 39

2. Ebrahimi Ghahnavieh, L., Tabatabaeian, H., Ebrahimi Ghahnavieh, Z., & others. (2020). Fluctuating expression of miR-584 in primary and high-grade gastric cancer. BMC Cancer, 20, 621. 
Cited by: 31

3. Noormohammad, M., Sadeghi, S., Tabatabaeian, H., Ghaedi, K., Talebi, A., & others. (2016). Upregulation of miR-222 in both Helicobacter pylori-infected and noninfected gastric cancer patients. Journal of Genetics, 95(4), 991–995. 
Cited by: 29

4. Fattahi Dolatabadi, N., Dehghani, A., Shahand, E., Yazdanshenas, M., & others. (2020). The interaction between MALAT1 target, miR-143-3p, and RALGAPA2 is affected by functional SNP rs3827693 in breast cancer. Human Cell, 33(4), 1229–1239.
Cited by: 28

5. Adami, B., Tabatabaeian, H., Ghaedi, K., Talebi, A., Azadeh, M., & Dehdashtian, E. (2019). miR-146a is deregulated in gastric cancer. Journal of Cancer Research and Therapeutics, 15(1), 108–114.
Cited by: 28

Hongzhen Wang | HealthTech and Wearables | Women Researcher Award

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Dr. Hongzhen Wang | HealthTech and Wearables | Women Researcher Award

Associate Professor at Zhejiang A&F University, China

Wang Hongzhen is an accomplished Associate Professor and Master’s Supervisor specializing in plant biochemistry and medicinal plant research. With over two decades of academic and research experience, she has focused on advancing the authenticity, classification, and cultivation of Anoectochilus roxburghii, a highly valued medicinal orchid. Her academic journey spans Shanxi University, Guizhou University, and a Ph.D. from Linnaeus University in Sweden, equipping her with a global research perspective. Currently serving at Zhejiang A&F University, she integrates traditional plant sciences with modern biotechnological tools, including hyperspectral imaging and machine learning, to address challenges in medicinal plant authenticity and health applications. Having authored more than 30 high-impact papers, led numerous provincial and national projects, and earned awards for her contributions, Wang’s research significantly contributes to the advancement of health-related technologies and the sustainable development of medicinal plant resources.

Professional Profile

Scopus

Education

Wang Hongzhen’s education reflects a solid foundation in biological sciences and plant biochemistry. She began her academic training at the College of Life Sciences, Shanxi University, where she acquired essential knowledge of genetics and plant physiology. She then pursued postgraduate studies at the Institute of Genetic Engineering and Molecular Biology, Guizhou University, focusing on genetic regulation and biochemical pathways in plants. To advance her expertise, she completed her doctoral studies at Linnaeus University, Sweden, where she conducted extensive research in plant biochemistry, molecular biology, and the physiological mechanisms underlying medicinal plants. Her education uniquely combines traditional Chinese medicine plant studies with modern molecular tools and international scientific methodologies. This broad educational background prepared her to address critical questions in plant-based healthcare and medicinal resource development. Through this journey, she gained the capacity to integrate advanced research technologies, including hyperspectral imaging and bioinformatics, into her research on medicinal plant authentication.

Experience

Wang Hongzhen has built a rich academic and research career that bridges plant biochemistry, medicinal plant cultivation, and health-related applications. She began her professional journey as a teacher at Zhejiang Forestry College, where she contributed to developing courses in biotechnology and plant sciences. After completing her Ph.D. in Sweden, she joined Zhejiang A&F University in, where she continues to serve in the Discipline of Chinese Medicine. Over her career, she has presided over or contributed to more than 14 national and provincial projects, including studies funded by the National Natural Science Foundation of China. Her project leadership includes topics such as germplasm quality evaluation, resistance mechanisms, and cultivation innovations for Anoectochilus roxburghii. Beyond academic teaching, she has actively collaborated in advancing agricultural biotechnology and integrating medicinal plant research with modern imaging and computational analysis. Her career illustrates a continuous progression toward interdisciplinary, impactful scientific contributions in HealthTech and plant sciences.

Research Focus

Wang Hongzhen’s research focuses on the intersection of plant biochemistry, computational imaging, and medicinal resource sustainability. Her primary work centers on Anoectochilus roxburghii, a rare and valuable medicinal orchid widely used in traditional medicine. She investigates quality evaluation of germplasm resources, development of high-yield and disease-resistant varieties, and protocorm-like body formation mechanisms for scalable cultivation. Recently, she has integrated hyperspectral imaging and machine learning to achieve small-sample authenticity identification and variety classification, bridging biotechnology with cutting-edge computational methods. This research ensures authenticity, prevents adulteration, and enhances traceability of medicinal plants in healthcare applications. Additionally, she has explored molecular mechanisms such as polyamine regulation, enzyme gene function, and stress resistance in medicinal species. Her work is not only fundamental for improving the pharmacological reliability of herbal resources but also future-oriented in connecting plant sciences with HealthTech innovations, including wearable biosensing and AI-based diagnostic tools.

Publication Top Note

Title: Small-Sample Authenticity Identification and Variety Classification of Anoectochilus roxburghii (Wall.) Lindl. Using Hyperspectral Imaging and Machine Learning
Authors: Wang Hongzhen.
Summary: The study combines hyperspectral imaging with machine learning to authenticate and classify A. roxburghii from small samples, offering a fast and reliable method to prevent adulteration in medicinal plants.

Conclusion

Wang Hongzhen’s research demonstrates a rare combination of depth in plant biochemistry and breadth in applying advanced computational tools such as hyperspectral imaging and machine learning to address real-world problems in medicinal plant science. Her contributions in germplasm evaluation, cultivation, and molecular regulation of Anoectochilus roxburghii are significant, impactful, and forward-looking. With further emphasis on interdisciplinary international collaboration and AI-driven translational outputs, she is highly suitable for the Women Researcher Award.