Johan Alexander Villada Ramos | Drug Discovery and Development | Best Researcher Award

Johan Alexander Villada Ramos | Drug Discovery and Development | Best Researcher Award

Prof. Johan Alexander Villada Ramos, Universidad del Quindío, Colombia

Johan Alexander Villada Ramos is a Ph.D. candidate in Sciences at Universidad del Quindío, specializing in natural alternatives to synthetic pesticides 🌱🦠. He holds a Master’s in Biomedical Sciences, earning a meritorious distinction 🏅, and a Biology degree. His research spans bioactive plant compounds, cancer prevention, and lipid metabolism. As a university lecturer 📚, he teaches molecular biology and biochemistry. With multiple research projects, publications, and awards, including the Carlos Corredor Pereira National Award in Biomedical Sciences (2024) 🏆, Johan is a dedicated scientist pushing the boundaries of biotechnology and microbiology.

Publication Profile

Orcid

Education

Prof. Johan Alexander Villada Ramos 🎓 is a doctoral student in Sciences at the Universidad del Quindío, focusing on the bioactivity of free and microencapsulated Tagetes erecta L. 🌿 as an alternative to synthetic pesticides against the avocado weevil Heilipus lauri 🥑. He earned a Master’s in Biomedical Sciences (2018–2022) with meritorious distinction 🏅, researching the effects of Passiflora edulis extract on lipid metabolism enzymes in human colorectal adenocarcinoma cells. His Biology degree (2013–2018) involved evaluating the antibacterial activity of Tagetes patula L. against Ralstonia solanacearum. Additionally, he trained in microbiology and biotechnology lab preparation at SENA (2017–2018) 🔬.

Professional Achievements

Prof. Johan Alexander Villada Ramos 🎓 has made significant contributions to biomedical and biological research. He earned a meritorious distinction 🏅 for his master’s research on Passiflora edulis 🍊 and its effects on lipid metabolism in colorectal cancer cells. Holding a Biology degree 🔬, his studies focused on the antimicrobial activity of plant extracts against pathogens. He has been actively involved in high-impact research projects 📚 at prestigious institutions, including Pontificia Universidad Javeriana and Universidad del Quindío. His work continues to advance natural alternatives 🌱 in disease management, reinforcing his dedication to scientific discovery and innovation.

Leadership in Academia

Prof. Johan Alexander Villada Ramos 🎓 is a dedicated academic leader, serving as a lecturer 📖 in molecular biology, biochemistry, and microbiology 🔬 at Universidad del Quindío. Passionate about education, he actively contributes to curriculum development 🏫, ensuring that students receive up-to-date and high-quality training. Additionally, he plays a key role in laboratory training 🧪, equipping future scientists with essential research skills. His commitment to fostering scientific knowledge and practical expertise strengthens the university’s academic foundation, inspiring students to excel in the fields of biotechnology, microbiology, and biomedical sciences. 🚀

Research Focus

Prof. Johan Alexander Villada Ramos specializes in natural product chemistry, biochemistry, and phytopharmacology, with a strong focus on the antioxidant, antibacterial, and anticancer properties of plant extracts. His research explores bioactive compounds from medicinal plants, such as Coffea arabica ☕, Passiflora edulis 🍃, and Tagetes patula 🌼, investigating their effects on oxidative stress, protein oxidation, and bacterial inhibition 🦠. His studies contribute to pharmaceutical development, food science, and biomedicine, aiming to harness plant-derived compounds for disease prevention and therapeutic applications. 🏥

Publication Top Notes

Ala Hssain | Drug Discovery and Development | Best Researcher Award

Ala Hssain | Drug Discovery and Development | Best Researcher Award

Ms Ala Hssain,University of Halabja,Iraq

Dr. Ala Hamd Hssain 🇮🇶 is a dedicated physicist specializing in material science and quantum mechanics. She earned her PhD in Material Science (2023) from Firat University, Turkey, and her Master’s in Quantum Mechanics (2014) from Eastern Mediterranean University, Cyprus. Currently, she is a faculty member at University of Halabja, Iraq, teaching quantum mechanics and advanced calculus. Her research focuses on DFT simulations, molecular modeling, and hydroxyapatite materials, with numerous publications in high-impact journals 📚. Proficient in Gaussian, Vesta, and Multiwfn, she actively contributes to scientific advancements in computational and experimental physics. ✨

Publication Profile

Scopus

Education

Ms. Ala Hssain 🎓 earned her Ph.D. in Material Science (2019-2023) from Firat University, Faculty of Science, Physics Department, in Elazig, Turkey 🇹🇷. She previously completed her Master’s degree in Quantum Mechanics (2012-2014) at Eastern Mediterranean University, Cyprus 🇨🇾, under the supervision of Prof. Dr. Habib Mazharimousavi. Her academic journey began with a Bachelor’s degree in Physics from Salahaddin University 🎓. With a strong foundation in physics and material science, she has dedicated her research to advancing knowledge in these fields, contributing to cutting-edge developments in quantum mechanics and material engineering. ⚛️🔬

Academic Experience

Ms. Ala Hssain 🎓 has a rich background in teaching and laboratory assistance. She served as an assistant physicist at the University of Sulaimani 🔬, working in optics, electricity, and measurement labs (2009-2010), solid-state and atomic labs (2010-2011), and atomic labs (2011-2012). Later, she became a lecturer at the University of Halabja 📚, teaching Calculus, scientific debate, atomic labs, metrology, and electricity & magnetism between 2014 and 2018. Currently, she continues her academic journey as a Quantum Mechanics professor ⚛️ for third-year students at the University of Halabja, contributing to the next generation of physicists. 🚀

Research Experience

Ms. Ala Hssain 🎓 is proficient in advanced computational tools for molecular simulations and density functional theory (DFT) 🔬. She has expertise in Gaussian software for molecular modeling, enabling precise quantum mechanical calculations ⚛️. Additionally, she is skilled in VESTA for 3D visualization of crystal structures 🏗️, VMD for molecular dynamics simulations 🧬, Multiwfn for wavefunction analysis 🌊, and Siesta for efficient DFT calculations on complex materials 🏢. Her expertise in these tools enhances her research in material science, quantum mechanics, and computational physics, contributing to innovative advancements in the field. 🚀

Academic Activities

Ms. Ala Hssain 🎓 has an extensive research portfolio, focusing on material science, quantum mechanics, and computational chemistry 🔬. Her publications explore hydroxyapatite co-doping, spinel synthesis, and optoelectronic compounds. Notable works include DFT modeling of Secnidazole 🧪, structural and spectroscopic studies on serotonin ⚛️, and Mg-doped Zn-based hydroxyapatites 🏗️. She has also contributed to theoretical and experimental research on L-tryptophan dimers 🧬. Published in prestigious journals like Chemical Physics Letters and Journal of Molecular Structure, her studies drive advancements in materials chemistry, nanotechnology, and molecular simulations. 🚀📖

Research Focus

Ms. Ala Hssain’s research focuses on Computational and Experimental Chemistry 🧪, particularly in the structural and spectroscopic analysis of biomolecules. Her work on the L-tryptophan dimer state involves a combination of Density Functional Theory (DFT)🖥️ and Molecular Dynamics (MD) simulations to understand molecular interactions and stability. This interdisciplinary research bridges theoretical modeling and experimental validation, contributing to fields like biophysics 🧬, pharmaceutical sciences 💊, and material chemistry 🔬. Her expertise lies in using computational tools to predict molecular behavior, aiding in drug design and biomolecular engineering. Her findings enhance the understanding of amino acid interactions in biological systems.

Publication Top Notes

Structural and spectroscopic study of L-tryptophan dimer state using DFT and MD: Computational and experimental analysis