Krishnamoorthi R | Bioengineering | Young Scientist Award

Published on by Young Scientists Awards

Dr. Krishnamoorthi R | Bioengineering
| Young Scientist Award

Chang Gung University | Taiwan

Dr. R. Krishnamoorthi is an accomplished researcher specializing in nanomedicine, biomaterials, and drug delivery systems, with a strong foundation in microbiology and biomedical applications. His research focuses on the development of innovative nanostructures, including silver-gold nanocomposites, bacteriocin-functionalized nanoparticles, and bioengineered hydrogels, for antimicrobial, antioxidant, anticancer, and wound-healing therapies. He has significantly contributed to interdisciplinary research integrating nanotechnology, immunomodulatory biomaterials, and probiotics for therapeutic advancement. With over 25 peer-reviewed publications in high-impact journals such as International Journal of Biological Macromolecules, Bioorganic Chemistry, and Fish & Shellfish Immunology, his cumulative impact factor exceeds 130. His current postdoctoral research at Chang Gung University, Taiwan, emphasizes microbial biosurfactants, nanoscale drug carriers, and in silico approaches for biomedical innovation. He has also contributed to the discovery and characterization of novel probiotic strains and their exopolysaccharides with potent bioactivities. Additionally, his work extends to developing green synthesis methods for metal oxide nanoparticles and investigating their electrochemical, antibacterial, and antioxidant properties. Dr. Krishnamoorthi’s research represents a synthesis of biological and material sciences aimed at sustainable, targeted, and biocompatible solutions for global healthcare challenges.

Featured Publications

Krishnamoorthi, R., Srinivash, M., Mahalingam, P. U., & Malaikozhundan, B. (2022). Dietary nutrients in edible mushroom, Agaricus bisporus and their radical scavenging, antibacterial, and antifungal effects. Process Biochemistry, 121, 10–17.

 Chinnaiah, K., Krishnamoorthi, R., Kannan, K., Sivaganesh, D., & [additional authors if any]. (2022). Ag nanoparticles synthesized by Datura metel L. leaf extract and their charge density distribution, electrochemical and biological performance. Chemical Physics Letters, 807, 140083.

 Krishnamoorthi, R., Srinivash, M., Mahalingam, P. U., Malaikozhundan, B., & [additional authors if any]. (2022). Antimicrobial, anti-biofilm, antioxidant and cytotoxic effects of bacteriocin by Lactococcus lactis strain CH3 isolated from fermented dairy products—An in vitro and in silico study. International Journal of Biological Macromolecules, 220, 291–306.

 Chinnaiah, K., Kannan, K., Krishnamoorthi, R., Palko, N., & Gurushankar, K. (2024). Nanostructured Ag/NiO composites for supercapacitor and antibacterial applications, and in-silico theoretical investigation. Journal of Physics and Chemistry of Solids, 184, 111730.

Krishnamoorthi, R., Mahalingam, P. U., & Malaikozhundan, B. (2022). Edible mushroom extract engineered Ag NPs as safe antimicrobial and antioxidant agents with no significant cytotoxicity on human dermal fibroblast cells. Inorganic Chemistry Communications, 139, 109362.

ABDALLAH ALDAHOUK | Biomedical engineering | Best Researcher Award

Published on by Young Scientists Awards

Mr. ABDALLAH ALDAHOUK l Biomedical engineering
| Best Researcher Award

Istanbul University-Cerrahpaşa | State of Palestine

Mr. ABDALLAH ALDAHOUK , the research conducted focuses on the validation and application of Monte Carlo simulation techniques using GATE (Geant4 Application for Tomographic Emission) software for modeling computed tomography (CT) imaging systems. This work aims to enhance the accuracy and efficiency of CT imaging through advanced computational modeling, allowing precise evaluation of image quality parameters and radiation dose distribution. By employing the Catphan CTP404 phantom, the study investigates the reliability of simulated data in replicating clinical imaging conditions, ensuring that virtual simulations closely mirror real-world CT performance. The research contributes to the optimization of CT imaging protocols, reduction of patient radiation exposure, and improvement of diagnostic accuracy. It further explores the integration of simulation-based calibration and validation methods in biomedical imaging, providing a framework for developing next-generation imaging systems with enhanced resolution and safety. The findings demonstrate the potential of GATE-based Monte Carlo simulations as a powerful tool for medical physicists and biomedical engineers to design, assess, and refine imaging systems without the need for extensive experimental trials. This work represents a significant advancement in computational biomedical engineering, bridging theoretical modeling and clinical imaging applications for improved healthcare diagnostics and imaging innovation.

Profile:  Orcid 

Featured Publication

Aldahouk, A. W., Sezdi, M., & Demir, M. (2026, February). Validation of GATE-based Monte Carlo simulation for clinical CT imaging using the Catphan CTP404 phantom. Radiation Physics and Chemistry, 218, 113364. https://doi.org/10.1016/j.radphyschem.2025.113364