Valentin Ivanov | Electrical Engineering | Research Excellence Award

Published on by Popular Engineer

Dr. Valentin Ivanov | Electrical Engineering | Research Excellence Award

University of Dschang | Cameroon

Valentin Y. Ivanov is a distinguished physicist and mathematician with dual Ph.D. degrees in Physics (Emission Electronics) and Mathematics (Integral Equations in Electron Optics), along with an M.D. in Physics focused on numerical design of high-power RF generators. With extensive experience in computational physics, electromagnetism, electron optics, and nonlinear beam dynamics, he has authored six monographs and over 300 peer-reviewed articles. His research encompasses high-current electron guns, accelerator structure simulations, microchannel plate amplifiers, and advanced numerical methods for 2D and 3D electrodynamics, electromechanics, and beam optics. Dr. Ivanov has successfully developed more than 20 computational codes for diverse applications, including crystal growth, hydrodynamics, gun design, ground motion analysis, and feedback control in accelerators. He has contributed to numerous international collaborations and publications, including SLAC and IEEE journals. His work has significantly influenced high-power RF sources and accelerator design, earning him recognition in computational and applied physics communities. Dr. Ivanov’s contributions are reflected in his h-index of 2, with over 12 citations and 7 publications. He continues to advance research in electron optics, computational methods, and high-performance simulations, combining theoretical insights with practical applications in accelerator physics and physical electronic instrumentation.

Citation Metrics (Scopus)

2000
1200
600
200
0

Citations
12

Document
7
h-index
2

Citations

Documents

h-index


View Scopus Profile

Featured Publications


3-D Method for the Design of Multi or Sheet Beam RF Sources
V. Ivanov, K. Ko, A. Krasnykh, L. Ives, G. Miram, SLAC-PUB-9366, 2002.

An Electron Gun for a Sheet Beam Klystron
M.E. Read, G. Miram, R.L. Ives, A. Krasnykh, V. Ivanov, IEEE Plasma Phys., 2002, pp. 190–194.

Simulating Accelerator Structure Operation at High Power
V. Ivanov et al., SLAC-PUB-10731, 2003.

An Improved Version of TOPAZ 3D
V. Ivanov, A. Krasnykh, G. Scheitrum, A. Jensen, SLAC-PUB-10081, 2003.

Development of Multiple Beam Guns for High Power RF Sources for Accelerators and Colliders
R.L. Ives, G. Miram, A. Krasnykh, V. Ivanov et al., SLAC-PUB-10704, 2004.

X-Band Linear Collider R&D in Accelerating Structures Through Advanced Computing
Z. Li, N. Folwell, L. Ge, A. Guetz, V. Ivanov et al., EPAC-2004-MOPLT134, SLAC-PUB-10563, 2004.

Olga Tarasova | Genetics and Genomics | Best Researcher Award

Published on by Popular Engineer

Dr. Olga Tarasova | Genetics and Genomics | Best Researcher Award

Institute of Biomedical Chemistry, Russian Academy of Medical Sciences (RAMS) | Russia

Dr Olga A. Tarasova is a bioinformatician and computational chemist whose research bridges cheminformatics, machine-learning and virus–host interaction modelling. She gained her M.S. in Medical Cybernetics and PhD in Bioinformatics from the Institute of Biomedical Chemistry (Moscow, Russia). Since then, she has progressed through roles from junior researcher to senior researcher now leading advanced computational modelling studies of antiviral compounds and virus–host interplay (e.g., at the Laboratory of Structure-Based Drug Design and recently heading the Laboratory of Big Data Analysis in Digital Pharmacology at IBMC). Her research interests include (Q)SAR/QSPR modelling, fragment-based drug design, molecular docking, text/data mining and machine-learning for prediction of metabolic, toxicity and viral-resistance profiles. Among her honours: the First-Degree Prize for Best Investigation at the Young Scientists Forum of the Russian Academy of Sciences for her work on HIV–host interactions. Dr Tarasova combines rigorous methodological development with applied antiviral and host-interaction modelling, making her a strong contributor to computational drug-discovery and virology informatics.

Profile : Orcid

Featured Publications

Pozdniakova, N., Generalov, E., Shevelev, A., & Tarasova, O. (2025). RNA therapeutics: Delivery problems and solutions A review. Pharmaceutics, 17(10), 1305.

Ivanov, S. M., Sukhachev, V. S., Tarasova, O. A., Lagunin, A. A., & Poroikov, V. V. (2025). Analysis of genomic and transcriptomic data revealed key genes and processes in the development of major depressive disorder. International Journal of Molecular Sciences, 26(19), 9557.

Shevelev, A., Pozdniakova, N., Generalov, E., & Tarasova, O. (2025). siRNA therapeutics for the treatment of hereditary diseases and other conditions: A review. International Journal of Molecular Sciences, 26(17), 8651.

Tarasova, O., Petrou, A., Ivanov, S. M., Geronikaki, A., & Poroikov, V. (2024). Viral factors in modulation of host immune response: A route to novel antiviral agents and new therapeutic approaches. International Journal of Molecular Sciences, 25(17), 9408.

Stolbova, E. A., Stolbov, L. A., Filimonov, D. A., Poroikov, V. V., & Tarasova, O. A. (2024). Quantitative prediction of human immunodeficiency virus drug resistance. Viruses, 16(7), 1132.

Muhammad Amer Qureshi | Biomedical Engineering | Best Researcher Award

Published on by Popular Engineer

Assoc. Prof. Dr. Muhammad Amer Qureshi | Biomedical Engineering | Best Researcher Award

University of Nizwa | Oman

Associate Professor Muhammad Amer Qureshi is a distinguished mathematician. He holds a Ph.D. in Mathematics , an M.S. in Engineering Sciences , and an M.Sc. in Computational Mathematics . His academic career has spanned roles as Associate Professor at the University of Nizwa (Oman), Associate and Assistant Professor at KFUPM (Saudi Arabia), and earlier appointments at GIK Institute and the University of Auckland. His research interests lie in numerical methods for ordinary differential equations (including one-step and multistep integrators, symplectic schemes), computational fluid dynamics (especially nano-hybrid fluids and heat transfer modeling), and the application of symmetries in general relativity (Noether’s theorem, space–time symmetries). He has supervised numerous undergraduate and graduate research projects, secured multiple externally funded grants, and published extensively in ISI/Scopus journals. Among his honors are repeated recognition in the Top 2% of global scientists, an Excellence in Teaching Award, and merit-based scholarships for Ph.D. and MS studies. In sum, his multifaceted contributions to theory, computation, and pedagogy mark him as a leading researcher and educator dedicated to advancing mathematics and engineering science.

Profile : Google Scholar

Featured Publications

Qureshi, M. A., & Hussain, S., & Sadiq, M. A. (2021). Numerical simulations of MHD mixed convection of hybrid nanofluid flow in a horizontal channel with cavity: Impact on heat transfer and hydrodynamic forces. Case Studies in Thermal Engineering, 27, 101321.

Qureshi, M. A. (2022). Thermal capability and entropy optimization for Prandtl–Eyring hybrid nanofluid flow in solar aircraft implementation. Alexandria Engineering Journal, 61(7), 5295–5307.

Qureshi, M. A. (2020). Numerical simulation of heat transfer flow subject to MHD of Williamson nanofluid with thermal radiation. Symmetry, 13(1), 10.

Qureshi, M. A. (2021). A case study of MHD driven Prandtl–Eyring hybrid nanofluid flow over a stretching sheet with thermal jump conditions. Case Studies in Thermal Engineering, 28, 101581.

Shahzad, F., Jamshed, W., Ibrahim, R. W., Nisar, K. S., & Qureshi, M. A., et al. (2021). Comparative numerical study of thermal features analysis between Oldroyd-B copper and molybdenum disulfide nanoparticles in engine-oil-based nanofluids flow. Coatings, 11(10), 1196.