EDUVAN VALENCIA-CRISTANCHO | Rational drug design | Best Researcher Award

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Prof. EDUVAN VALENCIA-CRISTANCHO | Rational drug design | Best Researcher Award

Teacher at Secretary of Education of BogotΓ‘ in Colombia.

Eduvan Daniel Valencia Cristancho πŸ‡¨πŸ‡΄, born on September 26, 1985, in BogotΓ‘, Colombia, is a distinguished chemist specializing in the rational design of compounds with potential antimicrobial activity πŸ§ͺ. He holds a Bachelor’s degree in Chemistry from the Universidad PedagΓ³gica Nacional and a Master’s in Chemical Sciences from the Universidad Nacional de Colombia πŸŽ“. Eduvan has participated as a speaker at national and international conferences on chemistry and science education 🌍. Currently working at the District Education Secretariat, he focuses on computational chemistry and bioinformatics research on NDM-1 inhibitors 🧬, contributing significantly to the country’s scientific and educational advancement πŸ“š.

Professional Profile
Suitability for the Researcher Award

Eduvan is a multidisciplinary researcher whose work addresses global health challenges, especially the fight against antibiotic resistance through the study of NDM-1 inhibitors 🦠. His innovative use of molecular modeling, ADMET analysis, and molecular dynamics has advanced understanding in the search for new antimicrobial compounds πŸ”¬. Additionally, his dedication to merging science, technology, and education through STEAM initiatives πŸŽ¨πŸ“š demonstrates his commitment to both academic excellence and social impact.

EducationΒ πŸŽ“

  • πŸ“˜ Master’s Degree in Chemical Sciences – Universidad Nacional de Colombia (2013 – 2015)
    Research: Rational design of spirothiazolidinone, pyrazolothiazolidinone, and pyrazolo Ξ²-lactam compounds with potential antimicrobial activity.
  • πŸ“— Bachelor’s Degree in Chemistry Education – Universidad PedagΓ³gica Nacional (2004 – 2008)
    Research: Extraction of dextran from orange peel waste and its inclusion in a didactic unit for teaching carbohydrate concepts.
  • πŸ–₯️ Short Course: Microsoft Colombia – Minecraft Education (2021)
  • 🍊 Short Course: Universidad Nacional de Colombia – Aroma Processing for Food (2013)

Experience πŸ’Ό

  • 🏫 Current Position: Educator at the District Education Secretariat of BogotΓ‘
  • 🧠 Researcher:
    • Focus on computational chemistry, bioinformatics, and molecular modeling (NDM-1 inhibitors).
    • Author of several scientific articles and book chapters on molecular docking and antimicrobial compounds.
  • 🎀 Speaker at Events:
    • 9th International Electronic Conference on Medicinal Chemistry (2023)
    • 1st International Congress on Physics Research and Teaching (2022)
    • XXVIII National Physics Congress (2019)
    • 31st Latin American Chemistry Congress (2014)
  • πŸ§ͺ Scientific Contributions:
    • Studies on ADMET properties, molecular dynamics, and micromagnetic simulations.
    • Integration of science and art in education through innovative projects.

 

Professional Development πŸš€πŸ“–

Eduvan Daniel Valencia Cristancho πŸ‡¨πŸ‡΄ has demonstrated continuous professional development through diverse academic and scientific contributions 🧠. He has completed specialized training, such as the Minecraft Education course by Microsoft Colombia (2021) πŸ–₯️ and the Aroma Processing for Food course at Universidad Nacional de Colombia (2013) 🍊. Eduvan actively enhances his expertise in computational chemistry, bioinformatics, and educational innovation πŸ“š. As a frequent speaker at national and international conferences 🌍, he shares his research on molecular modeling and NDM-1 inhibitors 🧬. His commitment to integrating technology, science, and education continues to impact his field profoundly πŸ”¬.

Research Focus πŸ”πŸ€–

Eduvan Daniel Valencia Cristancho πŸ‡¨πŸ‡΄ focuses his research on computational chemistry πŸ§ͺ, bioinformatics πŸ’», and molecular modeling 🧬, particularly targeting NDM-1 enzyme inhibitors to combat antimicrobial resistance 🦠. His work involves in silico studies, including ADMET analysis, molecular docking, and molecular dynamics simulations πŸ”. Additionally, he contributes to organic chemistry through the rational design of bioactive compounds 🌿. Eduvan also integrates STEAM education πŸŽ¨πŸ“š, exploring the connection between science and art to create innovative learning experiences for students 🏫. His interdisciplinary approach strengthens both scientific research and educational methodologies worldwide 🌍.

Awards & Honors πŸ…πŸŽ–οΈ
  • 🎀 Recognized speaker at prestigious national and international scientific events, such as:
    • 9th International Electronic Conference on Medicinal Chemistry (2023) 🌍
    • 1st International Congress on Physics Research and Teaching (2022) 🧠
    • XXVIII National Physics Congress (2019) πŸ”¬
    • 31st Latin American Chemistry Congress (2014) 🌎
  • πŸ“š Contributor to peer-reviewed scientific journals with impactful publications on NDM-1 inhibitors and computational chemistry 🧬.
  • 🎨 Acknowledged for integrating art and science in innovative educational projects through STEAM education initiatives 🏫.

 

Publication Top Notes:

“Review, Characterization, and Bioinformatic Analysis of New Delhi Metallo-Ξ²-Lactamase-1 (NDM-1)” – Published in Revista de la Facultad de Ciencias (2023) πŸ“… | πŸ“‘ Cited by: Not specified

πŸ“„ “In Silico Study of the ADMET Properties of Potential Inhibitors of New Delhi Metallo-Ξ²-Lactamase-1 (NDM-1)” – Published in Development of the International Agricultural Commerce Since the Mid Seventies (2023) πŸ“… | πŸ“‘ Cited by: Not specified

πŸ“„ “Estimation of Bond Free Energy with Gmx_Mmpbsa in NDM-1 Complexes” – Published in Advanced Journal of Chemistry Section A (2024) πŸ“… | πŸ“‘ Cited by: Not specified

πŸ“„ “In Silico Evaluation of Potential NDM-1 Inhibitors: An Integrated Docking and Molecular Dynamics Approach” – Published in Pharmaceuticals (2024) πŸ“… | πŸ“‘ Cited by: Not specified

πŸ“• Book Chapter: “In Silico Study of the ADMET Properties of Potential Inhibitors of NDM-1” in Uniting Knowledge Integrated Scientific Research for Global Development (2023) πŸ“…

πŸ“• Book Chapter: “Science and Art ‘Transformer of Lives'” in Education of the Future: Inspiration Through Innovative Experiences DOKUMA 2022 (2023) πŸ“…

πŸ“Œ Conclusion:

With a strong track record of innovative research, impactful publications, and contributions to scientific education, Eduvan Daniel Valencia Cristancho is an excellent candidate for the Best Researcher Award πŸ…. His work not only advances critical fields like antimicrobial resistance research but also bridges the gap between science and education, making lasting contributions to both the scientific community and society at large 🌟.

 

 

 

 

 

Prof. Dr. Shanwen Zhang | Medical data processing | Best Researcher Award

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Prof. Dr. Shanwen Zhang |medical data processing| Best Researcher Award

Prof. Dr. Shanwen Zhang, Xijing University, China

Shanwen Zhang, born in Shaanxi Province, China, is a distinguished professor at Xijing University and a visiting scholar at Virginia Tech. πŸŽ“ He earned his B.S. in Mathematics from Northwest University (1988), M.S. in Applied Mathematics from Northwest Polytechnic University (1995), and Ph.D. in Electromagnetic Field & Microwave from Air Force Engineering University (2001). πŸ† His research focuses on machine learning, data mining, and medical data processing. πŸ₯πŸ’» With extensive academic experience, he contributes to the field of artificial intelligence and computational science, shaping the future of healthcare technology. πŸš€πŸ“Š

Professional Profile:

Scopus

Suitability for the Best Researcher Award

Shanwen Zhang is a highly accomplished researcher with significant contributions to machine learning, data mining, and medical data processing. His academic background, international collaborations, and commitment to AI-driven healthcare solutions make him a strong candidate for the Best Researcher Award.

Education & Experience πŸŽ“πŸ’Ό

  • B.S. in Mathematics – Northwest University, China (1988) πŸ“˜
  • M.S. in Applied Mathematics – Northwest Polytechnic University, China (1995) πŸ“
  • Ph.D. in Electromagnetic Field & Microwave – Air Force Engineering University, China (2001) πŸ“‘
  • Professor – Xijing University, China πŸ‘¨β€πŸ«
  • Visiting Scholar – Virginia Tech, Department of Computer Science 🌎

Professional Development πŸš€πŸ“–

Shanwen Zhang has dedicated his career to advancing machine learning and data mining, especially in medical applications. πŸ₯πŸ’‘ As a professor at Xijing University, he mentors students and leads groundbreaking research. πŸ“š He actively collaborates with international scholars, including his tenure as a visiting scholar at Virginia Tech. πŸŒπŸ’» His passion for artificial intelligence drives him to explore innovative solutions for medical data processing. πŸ†πŸ“Š Through conferences, publications, and research projects, he continues to contribute significantly to the fields of computational science and healthcare technology. πŸ“–πŸ”¬

Research Focus πŸ”πŸ€–

Shanwen Zhang specializes in machine learning and data mining, with a strong emphasis on medical data processing. πŸ₯πŸ’» His work involves developing AI-driven solutions to improve disease diagnosis, patient monitoring, and predictive analytics. πŸ“ŠπŸ©Ί His interdisciplinary approach integrates mathematics, computer science, and biomedical engineering, enhancing healthcare efficiency. βš•οΈπŸ”¬ Zhang’s research contributes to intelligent medical imaging, early disease detection, and treatment optimization. πŸ† His work bridges the gap between theoretical AI advancements and real-world healthcare applications, revolutionizing the medical industry through cutting-edge technology. πŸš€πŸ“‘

Awards & Honors πŸ…πŸŽ–οΈ

  • Outstanding Researcher Award – Xijing University πŸ†
  • Best Paper Award – International Conference on Machine Learning & AI πŸ“
  • Excellence in Teaching Award – Xijing University πŸ‘¨β€πŸ«πŸ…
  • Recognized Visiting Scholar – Virginia Tech πŸŒπŸŽ“
  • Grant Recipient – National Research Fund for AI & Healthcare πŸ”¬πŸ’°

Publication Top Notes:

πŸ“œ Crop insect pest detection based on dilated multi-scale attention U-Net ,Β πŸ“– 5 citations

✈️ Aircraft segmentation in remote sensing images based on multi-scale residual U-Net with attention – Β πŸ“– 1 citation

πŸ’Š SiSGC: A Drug Repositioning Prediction Model Based on Heterogeneous Simplifying Graph Convolution – πŸ“– 2 citations

🌾 Editorial: Artificial intelligence and Internet of Things for smart agriculture

🌊 RFLNet: Reverse Feature Learning Network for Salient Object Detection in Forward-Looking Sonar Images