Assistant professor at Urmia University of Technology, Iran.
Dr. Sima Rezvantalab is a faculty member at Urmia University of Technology, Iran, with a strong interdisciplinary background in chemical engineering, nanomedicine, and computational neuroscience. Her academic journey began with a Master’s degree in Polymer Engineering at Sharif University of Technology, followed by a Ph.D. at Amirkabir University of Technology in collaboration with RWTH Aachen, Germany, where she focused on riboflavin-functionalized nanocarriers for drug delivery. Over the years, she has advanced research on PLGA nanoparticles, microfluidics, AI-driven nanomedicine, and novel biomaterials. She has authored influential publications, including the widely cited study on PLGA nanoparticles in cancer therapy, and has expanded her research to areas such as neurodegenerative disease modeling, β-amyloid targeting, and nanoscaffold design for tissue regeneration. Her work is notable for blending molecular simulations, machine learning, and experimental validation. As an emerging leader in neuroscience-related nanotechnology, she continues to pioneer innovations that bridge chemistry, biology, and computational science.
Professional Profile
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Education
Dr. Rezvantalab’s educational journey reflects depth in both engineering fundamentals and biomedical applications. She earned her Ph.D. in Chemical Engineering from Amirkabir University of Technology, Tehran, with a joint research collaboration at RWTH Aachen University, Germany, under the supervision of Prof. Fabian Kiessling and Prof. Mostafa Keshavarz Moraveji. Her dissertation explored microfluidic synthesis of riboflavin-functionalized nanocarriers, integrating targeted drug delivery and advanced characterization. Prior to her doctorate, she completed her Master of Science in Polymer Engineering at Sharif University of Technology, focusing on polypropylene production with broad molecular weight distribution, supervised by Prof. Ahmad Ramezani. Her strong foundation began with undergraduate studies in Chemical Engineering at the University of Mohaghegh Ardabili, where she consistently ranked among the top students. This rigorous educational background equipped her with a strong understanding of polymer chemistry, nanotechnology, and bioengineering, setting the stage for her impactful contributions to neuroscience, nanomedicine, and translational research.
Experience
Dr. Rezvantalab has served as a faculty member at Urmia University of Technology, where she teaches advanced courses including Physical Chemistry of Polymers, Transport Phenomena in Polymer Systems, Advanced Thermodynamics, and Computational Methods in Chemical Engineering. Her academic career is marked by active involvement in both research and mentoring, contributing to the growth of young scientists in nanomedicine and computational neuroscience. Beyond teaching, she has collaborated internationally, publishing extensively with researchers from Germany, Finland, and other global institutions. Her expertise spans experimental nanocarrier design, AI-based predictive modeling, and molecular dynamics simulations. She has also presented her work at numerous international conferences, ranging from membrane science to environmental engineering, reflecting her interdisciplinary scope. Through her leadership and cross-disciplinary collaborations, Dr. Rezvantalab has advanced research at the intersection of polymer engineering, nanotechnology, and brain health applications, positioning herself as a driving force in the neuroscience research community.
Research Focus
Dr. Rezvantalab’s research is centered on nanomedicine for neurological and systemic diseases, with a strong emphasis on polymeric nanoparticles, targeted drug delivery, and AI-driven biomaterials design. Her work integrates computational molecular dynamics, machine learning, and experimental nanotechnology to develop intelligent drug delivery systems. A significant part of her contributions includes engineering PLGA-based nanoparticles for cancer and neurodegenerative disorders, investigating β-amyloid targeting frameworks for Alzheimer’s disease, and creating 3D-printed nanoscaffolds for tissue regeneration. She also explores microfluidics-based nanoparticle synthesis for precision medicine and artificial intelligence for predicting nanoparticle behaviors. Another research line includes environmental and biomedical membranes, applying nanomaterials to water purification and ion-selective separations. This multidisciplinary approach allows her to bridge neuroscience, computational biology, and material sciences, making her work highly relevant for translational medicine. Her ability to combine drug delivery platforms with neurobiological applications positions her as a leader in next-generation therapeutics at the nano-bio interface.
Awards and Honors
Dr. Rezvantalab’s academic excellence has been consistently recognized through multiple honors. She was ranked first among Ph.D. students in Chemical Engineering at Amirkabir University of Technology and second in her B.Sc. class at the University of Mohaghegh Ardabili. She also achieved national distinction by ranking within the top 30 and 35 among more than 1000 participants in competitive entrance exams for graduate studies in Chemical Engineering and Biotechnology. Beyond academic rankings, her publications have been highlighted in top journals, including cover features in ACS Biomaterials Science & Engineering and ACS Omega, reflecting international recognition of her innovative contributions. She has delivered invited talks and presentations at prestigious conferences, advancing discussions on nanomedicine, environmental engineering, and neurotherapeutics. These honors underscore her strong academic foundation, research leadership, and growing influence in the global scientific community. Her achievements position her as a deserving recipient of awards that celebrate excellence in neuroscience-related innovation.
Publication Top Notes
Title: PLGA-based nanoparticles in cancer treatment
Authors: S. Rezvantalab, N.I. Drude, M.K. Moraveji, N. Güvener, E.K. Koons, Y. Shi, T. Lammers, F. Kiessling
Journal: Frontiers in Pharmacology.
Citations: 599
Summary: This highly cited review discusses PLGA nanoparticles as versatile, biocompatible carriers for cancer therapy. It highlights synthesis strategies, ligand targeting, and clinical translation, making it a cornerstone in nanomedicine.
Title: Microfluidic assisted synthesis of PLGA drug delivery systems
Authors: S. Rezvantalab, M.K. Moraveji
Journal: RSC Advances.
Citations: 151
Summary: This paper introduces microfluidics for controlled PLGA nanoparticle synthesis. It shows how micro-scale flow systems improve uniformity, reproducibility, and scalability in drug delivery.
Title: A molecular investigation of urea and creatinine removal in the wearable dialysis device using Two-Dimensional materials
Authors: R. Maleki, A.M. Jahromi, S. Mohaghegh, S. Rezvantalab, M. Khedri, L. Tayebi
Journal: Applied Surface Science.
Citations: 42
Summary: Using molecular dynamics, this work shows how 2D nanomaterials can adsorb toxins like urea and creatinine, paving the way for wearable dialysis technologies.
Title: 3D printing of complicated GelMA-coated Alginate/Tri-calcium silicate scaffold for accelerated bone regeneration
Authors: N. Beheshtizadeh, A. Farzin, S. Rezvantalab, Z. Pazhouhnia, et al.
Journal: International Journal of Biological Macromolecules.
Citations: 39
Summary: This study develops a hybrid GelMA-alginate/Tri-calcium silicate scaffold via 3D printing. The construct improves osteogenic activity and bone repair, with strong applications in regenerative medicine.
Title: Artificial intelligence deep exploration of influential parameters on physicochemical properties of curcumin‐loaded electrospun nanofibers
Authors: M. Khedri, N. Beheshtizadeh, M. Rostami, A. Sufali, S. Rezvantalab, M. Dahri, et al.
Journal: Advanced NanoBiomed Research.
Citations: 30
Summary: This work applies machine learning to optimize electrospun curcumin-loaded nanofibers. The approach identifies key parameters for drug release and mechanical performance.
Title: Engineering of 2D nanomaterials to trap and kill SARS-CoV-2: a new insight from multi-microsecond atomistic simulations
Authors: M. Khedri, R. Maleki, M. Dahri, M.M. Sadeghi, S. Rezvantalab, H.A. Santos, et al.
Journal: Drug Delivery and Translational Research.
Citations: 29
Summary: The paper uses simulations to show how 2D nanomaterials destabilize viral proteins, offering strategies for antiviral coatings and filters against COVID-19.
Title: Investigation of recent changes in Urmia salt lake
Authors: S. Rezvantalab, M.H. Amrollahi
Journal: International Journal of Chemical and Environmental Engineering.
Citations: 27
Summary: This environmental study analyzes the chemical and hydrological decline of Urmia Salt Lake, stressing sustainable water management.
Title: An insight into the role of riboflavin ligand in the self-assembly of PLGA nanoparticles – a molecular simulation and experimental approach
Authors: S. Rezvantalab, M.K. Moraveji, M. Khedri, R. Maleki
Journal: Soft Matter.
Citations: 24
Summary: This paper shows how riboflavin ligands influence PLGA nanoparticle assembly, enhancing stability and drug targeting. It combines simulations with experimental validation.
Conclusion
The candidate demonstrates outstanding scholarly impact, innovation, and interdisciplinary strength, making them highly suitable for the Best Researcher Award. Their contributions in polymeric nanoparticles, computational modeling, and AI-driven nanomedicine are of global relevance, addressing critical challenges in cancer therapy, regenerative medicine, and advanced materials. With further focus and translational emphasis, their research trajectory is poised to achieve even greater influence in both academic and applied domains.
