Muhammad Mohsin | Energies | Research Excellence Award

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Mr. Muhammad Mohsin | Energies | Research Excellence Award

Seoul National University of Science and Technology | South Korea

Muhammad Mohsin, design and numerical validation of a compact 50 W linear generator intended for integration with a 30 W-class radioisotope Stirling converter, targeting high-reliability power systems for space and remote applications. Conducted by Muhammad Mohsin, Dae-Jin Kim, and Kyuho Sim, the work scales down a proven 1 kW reference model to achieve high efficiency while maintaining a reduced form factor suitable for constrained environments. Electromagnetic and system-level simulations were carried out using ANSYS Maxwell and SAGE software to optimize key parameters such as magnetic circuit geometry, winding configuration, air-gap dimensions, and operating frequency. The proposed design achieves a stable electrical output of 50 W with approximately 90% conversion efficiency, demonstrating effective electromagnetic coupling and minimized losses. The finalized generator exhibits a compact overall size of 96 mm, making it well suited for applications where mass, volume, and long-term operational stability are critical. Simulation results confirm reliable performance under expected operating conditions and validate the feasibility of integrating the generator with low-power Stirling engines. The study provides valuable design guidelines for scaling linear alternators to lower power levels without compromising efficiency, and it contributes to the advancement of compact energy conversion technologies for robotics, radioisotope power systems, and future space exploration missions.

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Mr. Nicolcescu Pantelie | Research Excellence Award

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Mr. Nicolcescu Pantelie | Research Excellence Award

Universitatea Dunarea De Jos Galati | Romania

Pantelie Nicolcescu is an Associate Professor and primary physician specializing in Anesthesiology and Intensive Care, with extensive academic and clinical experience in Romania. He has been affiliated since 2011 with the Clinical Emergency Hospital Sibiu as an Associate Professor and Anesthesiology–Intensive Care Primary Physician, and since 2007 with “Dunărea de Jos” University of Galați as an Associate Professor teaching Anesthesia and Intensive Care, Psychology, Bioethics, and Medical Deontology. He completed his medical education in General Medicine at the Iuliu Hațieganu University of Medicine and Pharmacy, Cluj-Napoca (1986–1991), followed by residency training in Anesthesiology and Intensive Care at the same institution (1993–1998). His professional activities include invited international scholar positions in Anesthesia and Intensive Care at the Cleveland Clinic, USA. His research interests span anesthesiology, intensive care medicine, medical education, bioethics, perioperative management, trauma care, sepsis, and psychological aspects of medical training, contributing substantially to journals and academic books.

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Dr. Meharu Fentahun Endalew | Best Researcher Award

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Dr. Meharu Fentahun Endalew | Best Researcher Award

Beijing Institute of Mathematical Sciences and Applications (BIMSA) | China

Mehari Fentahun Endalew is a researcher affiliated with Debre Tabor University, Ethiopia, and the Beijing Institute of Mathematical Sciences and Applications (BIMSA), with a verified institutional email at dtu.edu.et. His academic background and professional experience are centered on applied mathematics and mathematical modeling, with a strong emphasis on fluid mechanics. His research focuses on hydromagnetic (MHD) flows, Casson and second-grade fluids, nanofluids, porous media, heat and mass transfer, dual-phase-lag heat transfer models, fractional calculus, and convection phenomena. Endalew has authored 19 peer-reviewed documents that have received 237 citations across 149 citing documents, resulting in an h-index of 9. His scholarly output includes publications in journals such as Boundary Value Problems, Heat Transfer,Asian Research, Scientific Reports, International Journal of Fluid Mechanics Research, Journal of Applied and Computational Mechanics, Engineering Reports, Fractal and Fractional, and Partial Differential Equations in Applied Mathematics. His work demonstrates sustained contributions to analytical, numerical, and temporal analyses of complex transport phenomena, including melting heat transfer, radiative effects, magnetic field inclination, chemical reactions, and slip conditions in porous and microchannel flows. Through interdisciplinary mathematical modeling, he continues to advance the theoretical understanding of fluid flow and heat and mass transfer processes.

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Prof. Dr. Ashot Gevorkyan | Best Research Article Award

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Prof. Dr. Ashot Gevorkyan | Best Research Article Award

Institute for Informatics NAS of Armenia | Armenia

Ashot S. Gevorkyan is a quantum and mathematical physicist at the Institute for Informatics and Automation Problems, National Academy of Sciences of the Republic of Armenia. He has contributed extensively to the study of quantum mechanics, statistical properties of N-particle systems, three-body problems, quantum chaos, and quantum thermodynamics. Gevorkyan’s research encompasses quantum harmonic oscillators, quantum vacuum structures, disordered spin systems, and the interaction of classical and quantum systems under random environments and external fields. His work has explored irreversibility, time’s arrow, and fundamental aspects of both classical and quantum dynamical systems, with applications in gamma radiation production, dielectric superlattices, and biosensing technologies. Gevorkyan has authored over 55 documents, with an h-index of 5, and has co-authored numerous influential papers in journals such as Laser Physics Letters, Physics of Atomic Nuclei, Symmetry, and Particles. His collaborative work frequently intersects with advanced computational methods, probabilistic processes, and modeling of complex quantum systems. Gevorkyan’s ongoing contributions continue to advance understanding of low-dimensional dynamical systems, self-organizing processes, and the foundations of quantum mechanics, cementing his position as a prominent researcher in the field.

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Prof. Alexey Kavokin | Most Cited Researcher Award

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Prof. Alexey Kavokin | Most Cited Researcher Award

Abrikosov Center for Theoretical Physics | Russia

Alexey V. Kavokin is a theoretical physicist affiliated with the Abrikosov Center for Theoretical Physics in Moscow, Russian Federation, recognized for his extensive contributions to exciton-polariton physics, spin dynamics, and semiconductor photonics. He holds a Master’s degree in Physics from Saint Petersburg State Polytechnical University (1986–1992) and earned his PhD in Physics (Coherent Light and Matter) from the Ioffe Institute, Saint Petersburg (1992–1993). Kavokin has held research appointments internationally, including service at CNR-SPIN in Rome, Italy (2014–2018). His research spans excitons, spin phenomena, lasers, and semiconductor systems, with additional interests in topological photonics, neuromorphic polariton networks, optical spin Hall effects, and polariton condensate dynamics. He has authored over 560 documents, accumulating more than 19,000 citations and achieving an h-index of 68, reflecting his broad influence across optics, condensed matter physics, and spin-optronics. His work includes investigations of polariton lattices, topological photonic states, spin noise in Bose-Einstein condensates, vortex molecules, and room-temperature optical spin Hall transport. His ongoing scholarship continues to shape the fields of exciton-polariton condensates, semiconductor microcavities, and polariton-based devices.

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Sedov, E., & Kavokin, A. (2024). Polariton lattices as binarized neuromorphic networks. arXiv. https://doi.org/10.48550/arXiv.2401.07232

Guoguang, R., Kavokin, A., & Sawan, M. (2024). Optical biosensor based on porous silicon and Tamm plasmon polariton for detection of CagA antigen of Helicobacter pylori. Sensors. https://doi.org/10.3390/s24165153

Kavokina, S., Samyshkin, V., Cao, J., Abramov, A., Osipov, A., Essaka, S. P., Khalimov, N., Bodunov, D., & Kavokin, A. (2024). Titanium-based metasurfaces for optoelectronics. Nanomaterials. https://doi.org/10.3390/nano14010056

Assoc. Prof. Dr. Mümine KAYA KELEŞ | Women Researcher Award

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Assoc. Prof. Dr. Mümine KAYA KELEŞ | Women Researcher Award

Adana Alparslan Türkeş Science and Technology University | Turkey

Mümine Kaya Keleş is a researcher at Adana Alparslan Türkeş Bilim ve Teknoloji Üniversitesi, where she specializes in Veri Madenciliği (Data Mining), Uzaktan Eğitim (Distance Education), and Metin/Doküman İşleme (Text/Document Processing), with additional work in plagiarism detection. Her scholarly contributions span data mining applications in health, engineering, and education, including breast cancer prediction, feature selection, machine learning–based performance estimation, and streamflow forecasting. She has also made notable advances in distance education systems, the integration of assessment tools into learning management platforms, and text similarity detection. Her research includes the application of optimization algorithms such as artificial bee colony, binary anarchic society optimization, and binary black widow approaches for feature selection across diverse datasets, as well as studies on data mining impacts on various sectors and open-source tools. She has contributed to projects involving microstrip antenna classification, concrete strength prediction, Alzheimer’s disease diagnosis using volumetric data, and productivity prediction in construction. With verified email affiliation at atu.edu.tr, she continues to develop innovative solutions at the intersection of data mining, machine learning, and educational technologies, maintaining a strong publication record across interdisciplinary applications.

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Keleş, M. K. (2019). Breast cancer prediction and detection using data mining classification algorithms: A comparative study. Tehnički vjesnik, 26(1), 149–155.

Umit, K., Esra, S. E., & Mumine, K. K. (2023). Binary Anarchic Society Optimization for Feature Selection. Romanian Journal of Information Science and Technology, 26(3–4), 351–364.

Kaya, M., & Özel, S. A. (2015). Integrating an online compiler and a plagiarism detection tool into the Moodle distance education system for easy assessment of programming assignments. Computer Applications in Engineering Education, 23(3), 363–373.

Keleş, M. K., & Özel, S. A. (2016). A review of distance learning and learning management systems. Virtual Learning.

Kaya, M. (2012). Distance education systems used in universities of Turkey and Northern Cyprus. Procedia – Social and Behavioral Sciences, 31, 676–680.

Dr. Zahra Rasaei | Research Excellence Award

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Dr. Zahra Rasaei | Research Excellence Award

University of Tehran | Iran

Zahra Rasaei is a researcher from Iran specializing in digital soil mapping, legacy soil inventories, soil genesis and classification, land evaluation, and clay mineralogy. With demonstrated expertise in integrating legacy data, remote sensing, and advanced statistical methods, she has contributed to the improvement of soil information systems and the understanding of soil spatial variability. Her research experience includes developing depth-based environmental clustering approaches, addressing zero-inflated and skewed soil salinity distributions, and applying Bayesian data fusion and spatial filtering to enhance the accuracy of soil property maps. She has published multiple peer-reviewed articles in international journals such as CATENA, Pedosphere, Geoderma, Geoderma Regional, and Desert, and has participated in peer review activities, including reviewing for the Journal of South American Earth Sciences. Her work contributes to the modernization of soil mapping practices and the rescue of legacy soil data to support improved land evaluation and sustainable environmental management. She continues to advance innovative methods for understanding soil patterns and properties across diverse landscapes.

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Featured Publications

Rasaei, Z., Sarmadian, F., Jafari, A., & Flynn, T. (2026). Can environmental clustering reveal soil profile patterns? A depth-based approach at field scale. CATENA. https://doi.org/10.1016/j.catena.2025.109695

Rasaei, Z., Sarmadian, F., Jafari, A., & Flynn, T. (2025). Digital mapping of soil salinity: Overcoming the challenges of zero-inflated and skewed sample distributions. Pedosphere. https://doi.org/10.1016/j.pedsph.2025.08.007

Rasaei, Z. (2020). Rescue and renewal of legacy soil resource inventories in Iran as an input to digital soil mapping. Geoderma Regional. https://doi.org/10.1016/j.geodrs.2020.e00262

Rasaei, Z., & Bogaert, P. (2019). Spatial filtering and Bayesian data fusion for mapping soil properties: A case study combining legacy and remotely sensed data in Iran. Geoderma. https://doi.org/10.1016/j.geoderma.2019.02.031

Rasaei, Z. (2019). Bayesian data fusion for combining maps of predicted soil classes: A case study using legacy soil profiles and DEM covariates in Iran. CATENA. https://doi.org/10.1016/j.catena.2019.104138

Mr. Maaz Ali Khan | Best Researcher Award

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Mr. Maaz Ali Khan | Best Researcher Award

University of Buner | Pakistan

Maaz Ali Khan is a researcher affiliated with the University of Buner, known for his contributions to thermoelasticity and wave propagation in advanced solid media. His work focuses on the behavior of elastic, thermal, and coupled waves in semiconductor materials and micropolar thermoelastic structures, especially under variable thermal conductivity, laser-induced thermal effects, and temperature-dependent properties. He has coauthored several peer-reviewed studies examining reflected elastic waves, Rayleigh wave behavior, and nonlocal micropolar thermoelastic responses, including investigations involving three-phase-lag models and global sensitivity analysis in rotating solids. His research appears in journals such as Acoustical Physics, Physica Scripta, Mechanics of Solids, and Case Studies in Thermal Engineering. Through his collaborative and interdisciplinary work, he continues to advance understanding of thermoelastic wave phenomena in complex materials systems.

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Featured Publications

Ullah, I., Khan, M. A., Abo-Dahab, S. M., Dar, A., Sial, M. R., Albalwi, M. D., & Jahangir, A. (2024). Study on impact of variable thermal conductivity or laser pulse on reflected elastic waves in a semiconductor medium. Acoustical Physics, 70(2), 278–287.
Saeed, T., Khan, M. A., Alzahrani, A. R. R., & Jahangir, A. (2024). Rayleigh wave through half space semiconductor solid with temperature dependent properties. Physica Scripta, 99(2), 025208.
Khan, M. A., Jahangir, A., Rahman, A., Mahmoud, E. E., & Almuzaini, M. (2025). Global Sensitivity Analysis of Wave Behavior in Rotating Solids with Laser-Induced Thermal and Stress Effects. Mechanics of Solids, 1–24.
Khan, M. A., Kouki, M., Jahangir, A., Riaz, U., & Rahman, A. (2025). Reflection of Coupled Transverse Waves in Nonlocal Micropolar Thermoelastic Media with Three-Phase-Lag Model. Case Studies in Thermal Engineering, 106926.

Assoc. Prof. Dr. M. Abdul | Research Excellence Award

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Assoc. Prof. Dr. M. Abdul | Research Excellence Award

Quanzhou University of Information Engineering | China

Muhammad Abdul is a researcher specializing in boson sampling, machine learning, ultracold atoms, high-resolution imaging systems, quantum technology involving surface acoustic waves, quantum phase transitions, nonlinear dynamical systems, and the invention of new materials. He earned his PhD from the University of Science and Technology of China, Hefei, where he worked on ultracold atoms in optical lattices, nonlinear optics, photonic devices, quantum networks, and boson sampling. He previously completed an M.Phil in Electronics at Quaid-i-Azam University. His professional experience includes serving as a Researcher at the University of Electronic Science and Technology of China; Assistant Professor at Sichuan University; Research Associate at Quaid-i-Azam University; Visiting Faculty at the Federal Urdu University; Lecturer at St. Mary College and the Punjab Group of Colleges; and High School Science Teacher at Down High School Mailsi. His research activities span mathematical modeling of nonlinear systems, materials development, and improvements in medication, supported in part by funding for developing a general dynamical model. He has contributed extensively to peer review across major journals and continues to advance interdisciplinary science across China, the United States, and the United Kingdom through research, teaching, and collaboration.

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Featured Publications

Abdul, M., Ko, C., Ismail, M. A., Ben Khalifa, S., Alsaif, N. A. M., Chebaane, S., Akbar, J., & Allakhverdiev, S. I. (2026). Development of rare earth metal-supported manganese selenide (MnSe₂-Nd₂O₃) heterostructure enabling robust hydrogen evolution reaction. Fuel. https://doi.org/10.1016/j.fuel.2025.136948

Abdul, M., Zhang, M., Ma, T., Alotaibi, N. H., Mohammad, S., & Luo, Y.-S. (2025). Facile synthesis of Co₃Te₄–Fe₃C for efficient overall water-splitting in an alkaline medium. Nanoscale Advances. https://doi.org/10.1039/D4NA00930D

Abdul, M., Kuo, C.-T., Ismail, M. A., Ben Khalifa, S., Alsaif, N. A. M., Chebaane, S., Shareef, M., & Shehzadi, A. (2025). Facile synthesis of novel WO₃·H₂O@Al-MOF nanocomposite for enhanced electrocatalytic hydrogen and oxygen evolution. Electrochimica Acta. https://doi.org/10.1016/j.electacta.2025.147714

Sardar, S., Nazeer, S., Naeem, F., Ben Khalifa, S., Chebaane, S., Saidani, T., Ismail, M. A., & Abdul, M. (2025). Se-decorated TiC/TiO₂ nanocomposite for overall water-splitting in alkaline medium. Fuel. https://doi.org/10.1016/j.fuel.2025.135672

Abdul, M., Ko, C., Tang, X., Ben Khalifa, S., Alsaif, N. A. M., Chebaane, S., & Akbar, J. (2025). S-scheme MnO₂–MnS₂@C heterostructure for environmental and biological applications. Ceramics International. https://doi.org/10.1016/j.ceramint.2025.09.284