Prof. Dr. Yury Filippov | Cryometrology | Best Researcher Award

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Prof. Dr. Yury Filippov | Cryometrology | Best Researcher Award

Head of group | Joint Institute for Nuclear Research | Russia

Prof. Dr. Yury Filippov is a distinguished expert in cryometrology, having made significant advancements in cryogenic engineering and low-temperature technologies. He graduated from the Moscow Power Engineering Institute and began his career at the Institute of High Energy Physics, where he developed cryogenic systems for particle accelerators. His journey through various leading research institutions, including the Joint Institute for Nuclear Research in Dubna, reflects his lifelong dedication to cryometrology and its practical applications in superconducting accelerators and medical cryosystems. His research in cryometrology has driven innovations in diagnostic tools for cryogenic two-phase and three-phase flow systems, contributing to fundamental developments in fluid dynamics and measurement precision. Prof. Dr. Filippov’s expertise in cryometrology extends to areas like hydrodynamics of multiphase flows, thermal control, and advanced instrumentation. His leadership in supervising PhD candidates and active participation in academic councils demonstrates his influence on future generations of scientists. Through continuous contributions to journals such as Cryobiology, Cryogenics, and Review of Scientific Instruments, he has strengthened the global recognition of cryometrology as a vital scientific discipline. His awards and honors reflect his commitment to excellence and innovation in cryometrology research, where his technical acumen and analytical precision stand out. His professional skills encompass experimental design, cryometrology instrumentation, and multiphase flow analysis, all aligned with modern scientific standards. In conclusion, Prof. Dr. Yury Filippov remains a prominent figure in cryometrology, whose research legacy and academic guidance continue to advance the field globally. Scopus profile of 292 Citations, 52 Documents, 11 h-index.

Profile: Scopus

Featured Publications

1. Minimization of Problems while Creating Two-Phase Flowmeters for Cryogenics and Their Features: Part I. Diagnostics of Helium Flows. (2025). Instruments and Experimental Techniques.

2. Minimization of Problems while Creating Two-Phase Flowmeters for Cryogenics and Their Features: Part II. Diagnostics of Hydrogen and LNG Flows. (2025). Instruments and Experimental Techniques.

3. Modifications of the Separationless Oil–Water–Gas Flowmeter with a Dual Isotope Gamma-Densitometer for Particular Cases of Applications. (2024). Instruments and Experimental Techniques.

4. Optimization of a Separationless Three-Phase Oil–Water–Gas Flowmeter of Horizontal Orientation with Dual-Isotope Gamma Densitometers. (2023). Instruments and Experimental Techniques.

5. Diagnostic tools for multiphase flows in cryogenics, LNG-and oil production. (Conference Paper).

Prof. Dr. Jinju Sun | Computational Methods | Best Researcher Award

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Prof. Dr. Jinju Sun | Computational Methods | Best Researcher Award

Professor | Xi'an Jiaotong University | China

Prof. Dr. Jinju Sun is a distinguished scholar in the School of Energy and Power Engineering at Xi’an Jiaotong University, renowned for her pioneering contributions to fluid mechanics, turbomachinery, and multiphase flow systems through advanced Computational Methods. Her educational journey spans cryogenic engineering to a PhD in turbomachinery and engineering mechanics, which laid the foundation for her expertise in Computational Methods applied to turbomachinery optimization, Lattice Boltzmann modeling, and Vortex Method simulations. Throughout her professional career, she has served as a researcher, lecturer, and professor, advancing research through numerous national and international collaborations emphasizing Computational Methods in fluid dynamics and green energy system design. She has received prestigious honors, including the Donald Julius Groen Prize and the Arthur Charles Main Award from the Institution of Mechanical Engineers (UK), in recognition of her outstanding achievements utilizing Computational Methods for energy system modeling and flow optimization. Her research interests include cryogenic liquid turbines, compressor instabilities, and innovative Computational Methods for fluid-structure interaction and multiphase flow behavior. She has authored numerous high-impact publications and holds multiple international patents that demonstrate her excellence in Computational Methods-based innovation. Prof. Dr. Jinju Sun’s research skills encompass CFD modeling, LBM, topology optimization, and Computational Methods-driven analysis for turbomachinery and green energy systems. In conclusion, her dedication to advancing Computational Methods in engineering has positioned her as a global leader driving innovation, sustainability, and scientific excellence in modern energy and power engineering.

Profile: ORCID

Featured Publications

1. Qu, Y., Sun, J., Song, P., & Wang, J. (2025). Enhancing efficiency and economic viability in Rectisol system with cryogenic liquid expander. Asia-Pacific Journal of Chemical Engineering.

2. Ge, Y., Peng, J., Chen, F., Liu, L., Zhang, W., Liu, W., & Sun, J. (2023). Performance analysis of a novel small-scale radial turbine with adjustable nozzle for ocean thermal energy conversion. AIP Advances.

3. Fu, X., & Sun, J. (2023). Three-dimensional color-gradient lattice Boltzmann model for simulating droplet ringlike migration under an omnidirectional thermal gradient. International Journal of Thermal Sciences.

4. Song, P., Sun, J., Wang, S., & Wang, X. (2022). Multipoint design optimization of a radial-outflow turbine for Kalina cycle system considering flexible operating conditions and variable ammonia-water mass fraction. Energies.

5. Song, P., Wang, S., & Sun, J. (2022). Numerical investigation and performance enhancement by means of geometric sensitivity analysis and parametric tuning of a radial-outflow high-pressure oil–gas turbine. Energies.

Prof. Dr. Guy Le Lay | Materials for 5G and Beyond | Outstanding Scientist Award

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Prof. Dr. Guy Le Lay | Materials for 5G and Beyond | Outstanding Scientist Award

Professor Emeritus | Aix-Marseille University | France

Prof. Dr. Guy Le Lay, Professor Emeritus at Aix-Marseille University, is an eminent physicist whose pioneering contributions to Materials for 5G and Beyond have reshaped the understanding of low-dimensional quantum systems. He earned his engineering degree from the School of Mines Nancy, followed by doctorates in Engineering and Physics from the University of Provence. His professional journey includes leadership in international collaborations with CNES, ESA, NASA, and major scientific committees. His groundbreaking research on silicene, germanene, and other Xenes has propelled Materials for 5G and Beyond into new scientific frontiers, influencing the evolution of nanostructures and topological quantum materials. Recognized globally, his honors include the IUVSTA Prize for Science, the Fernand Holweck Medal and Prize, and fellowships from Nagoya University and the Japan Society for the Promotion of Science. His research expertise encompasses atomic-scale surface science, quantum materials, and advanced interface engineering key enablers for Materials for 5G and Beyond. With deep proficiency in synchrotron radiation, surface spectroscopy, and nanoscale material design, he remains a visionary in the physics of Materials for 5G and Beyond. His academic excellence is mirrored by leadership in international symposia and scientific advisory roles promoting Materials for 5G and Beyond across global platforms. Prof. Dr. Guy Le Lay’s enduring legacy continues to inspire innovation in Materials for 5G and Beyond applications and quantum device engineering. Google Scholar profile of 19028 Citations, 59 h-index, 171 i10-index.

Profile: Google Scholar

Featured Publications

1. Vogt, P., De Padova, P., Quaresima, C., Avila, J., Frantzeskakis, E., Asensio, M. C., et al. (2012). Silicene: Compelling experimental evidence for graphenelike two-dimensional silicon. Physical Review Letters, 108(15), 155501.

2. Dávila, M. E., Xian, L., Cahangirov, S., Rubio, A., & Le Lay, G. (2014). Germanene: A novel two-dimensional germanium allotrope akin to graphene and silicene. New Journal of Physics, 16(9), 095002.

3. Aufray, B., Kara, A., Vizzini, S., Oughaddou, H., Léandri, C., Ealet, B., & Le Lay, G. (2010). Graphene-like silicon nanoribbons on Ag (110): A possible formation of silicene. Applied Physics Letters, 96(18).

4. De Padova, P., Quaresima, C., Ottaviani, C., Sheverdyaeva, P. M., Moras, P., et al. (2010). Evidence of graphene-like electronic signature in silicene nanoribbons. Applied Physics Letters, 96(26).

5. Le Lay, G. (1983). Physics and electronics of the noble-metal/elemental-semiconductor interface formation: A status report. Surface Science, 132(1–3), 169–204.

Dr. Amit Kumar | Magnetotelluric | Best Researcher Award

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Dr. Amit Kumar | Magnetotelluric | Best Researcher Award

Associate Professor | Indian Institute of Geomagnetism | India

Dr. Amit Kumar is a distinguished researcher and Associate Professor at the Dr. K. S. Krishnan Geomagnetic Research Laboratory, Indian Institute of Geomagnetism, Prayagraj. His expertise lies in Magnetotelluric investigations, where he has significantly advanced understanding of lithospheric and crustal structures in diverse geological settings. With an extensive background in Magnetotelluric research, Dr. Amit Kumar has contributed to exploring the electrical resistivity architecture of regions such as the Sikkim Himalaya, the Cambay rift basin, and the Kaladgi basin. His Magnetotelluric studies have played a vital role in revealing the deep tectonic framework, geothermal potential, and crust mantle interactions across complex geological terrains. Through Magnetotelluric methods, he has provided crucial insights into the geoelectric and thermotectonic architecture of rift basins, aiding national projects supported by prestigious scientific institutions. His scholarly work in Magnetotelluric applications is marked by multiple publications in high impact international journals, reflecting deep analytical and interpretative proficiency. Dr. Amit Kumar’s collaborations with renowned geophysicists and organizations have strengthened the interdisciplinary integration of geophysical data, emphasizing Magnetotelluric approaches to address regional tectonic and geothermal challenges. His Magnetotelluric contributions extend beyond research, influencing strategies for sustainable energy exploration and seismic hazard assessment, thus benefitting both academic and societal frameworks. Demonstrating excellence in Magnetotelluric modeling, data inversion, and interpretation, he continues to enhance the global understanding of Earth’s deep electrical structure. His scholarly dedication and leadership in Magnetotelluric studies have established him as a prominent figure in geophysical research. Google Scholar profile of 149 Citations, 6 h-index, 8 i10-index.

Profile: Google Scholar

Featured Publications

1. Danda, N., Rao, C. K., & Kumar, A. (2017). Geoelectric structure of northern Cambay rift basin from magnetotelluric data. Earth, Planets and Space, 69(1), 140.

2. Arora, B. R., Kamal, Kumar, A., Rawat, G., Kumar, N., & Choubey, V. M. (2008). First observations of free oscillations of the earth from Indian superconducting gravimeter in Himalaya. Current Science, 1611–1617.

3. Danda, N., Rao, C. K., Kumar, A., Rao, P. R., & Rao, P. B. V. S. (2020). Implications for the lithospheric structure of Cambay rift zone, western India: Inferences from a magnetotelluric study. Geoscience Frontiers, 11(5), 1743–1754.

4. Kumar, P. V. V., Patro, P. K., Rao, P. B. V. S., Singh, A. K., Kumar, A., & Nagarjuna, D. (2018). Electrical resistivity cross-section across northern part of Saurashtra region: An insight to crystallized magma and fluids. Tectonophysics, 744, 205–214.

5. Deshmukh, V., Kumar, P. V. V., Rao, P. B. V. S., Kumar, A., & Singh, A. K. (2022). Audiomagnetotelluric (AMT) studies across Aravali-Tural-Rajawadi geothermal zones, western Maharashtra, India. Journal of Applied Geophysics, 198, 104579.

Assoc. Prof. Dr. Osama Hussein Galal | Stochastic Fluid Dynamics | Excellence in Research

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Assoc. Prof. Dr. Osama Hussein Galal | Stochastic Fluid Dynamics | Excellence in Research

Associated Professor | Fayoum University | Egypt

Assoc. Prof. Dr. Osama Hussein Galal is a distinguished academic specializing in Stochastic Fluid Dynamics, whose professional journey reflects exceptional expertise in Engineering Mathematics and Physics. His academic and research trajectory demonstrates profound engagement with Stochastic Fluid Dynamics in analyzing uncertainty quantification, fractional-order systems, and fluid flow modeling. Over his extensive academic tenure, he has served as an educator, researcher, consultant, and supervisor, contributing significantly to Stochastic Fluid Dynamics applications in non-Newtonian fluid analysis, stochastic differential equations, and advanced computational mechanics. His professional experience extends to engineering consultancy and structural design, where he integrated Stochastic Fluid Dynamics methodologies for enhanced prediction accuracy in complex engineering systems. Assoc. Prof. Dr. Osama Hussein Galal has guided numerous postgraduate dissertations focusing on Stochastic Fluid Dynamics and uncertainty modeling in power systems, beam analysis, and transmission lines. His research interest revolves around integrating Stochastic Fluid Dynamics with machine learning, renewable energy modeling, and fractional calculus applications. Recognized for his scholarly contributions, he has received several awards for excellence in teaching, research supervision, and scientific publications. His research skills encompass analytical modeling, stochastic simulation, and the mathematical treatment of Stochastic Fluid Dynamics in engineering contexts, establishing him as a leading voice in the field. Through his numerous publications in reputed international journals, he has advanced global understanding of Stochastic Fluid Dynamics and its engineering implications. His career exemplifies the fusion of theoretical rigor and practical innovation, positioning him as a prominent figure in modern computational and stochastic analysis. Google Scholar profile of 102 Citations, 6 h-index, 5 i10-index.

Profiles: Google Scholar | ORCID

Featured Publications

1. Hatata, A., Galal, O. H., Said, N., & Ahmed, D. (2021). Prediction of biogas production from anaerobic co-digestion of waste activated sludge and wheat straw using two-dimensional mathematical models and an artificial neural network. Renewable Energy, 178, 226–240.

2. Galal, O. H., El-Tahan, W., El-Tawil, M. A., & Mahmoud, A. A. (2008). Spectral SFEM analysis of structures with stochastic parameters under stochastic excitation. Structural Engineering and Mechanics: An International Journal, 28(3), 281–294.

3. Galal, O. H., El-Tawil, M. A., & Mahmoud, A. A. (2002). Stochastic beam equations under random dynamic loads. International Journal of Solids and Structures, 39(4), 1031–1040.

4. Galal, O. H. (2013). A proposed stochastic finite difference approach based on homogenous chaos expansion. Journal of Applied Mathematics, 2013(1), 950469.

5. El-Beltagy, M. A., Wafa, M. I., & Galal, O. H. (2012). Upwind finite-volume solution of Stochastic Burgers’ equation. Scientific Research Publishing.

Dr. Mohsin Rafique | Condensed Matter Physics | Excellence in Research Award 

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Dr. Mohsin Rafique | Condensed Matter Physics | Excellence in Research Award 

Assistant Research Scientist | Beijing Academy of Quantum Information Sciences | China

Dr. Mohsin Rafique is an accomplished researcher in the field of Condensed Matter Physics, currently serving as a Research Scientist (Assistant) at the Beijing Academy of Quantum Information Sciences, China. His academic foundation in physics, including a PhD and MS from COMSATS Institute of Information Technology, has enabled him to explore critical areas of Condensed Matter Physics, particularly focusing on quantum transport, superconductivity, and magnetoelectric materials. Throughout his professional journey, he has contributed extensively to Condensed Matter Physics research through postdoctoral work at Tsinghua University and collaborative projects in Germany and Italy. His research interests encompass quantum phase transitions, magnetism, and multiferroic thin films all deeply rooted in Condensed Matter Physics principles. Dr. Rafique has received multiple awards and fellowships, including the Tsinghua University Postdoctoral Fellowship and COMSATS Research Productivity Award, reflecting his excellence in Condensed Matter Physics research and innovation. His research skills span quantum material fabrication, magnetoelectric measurements, and nanoscale device development, further demonstrating his command of Condensed Matter Physics methodologies. His work has been published in top-tier journals like Nano Letters, Applied Physics Letters, and Nature Communications, showcasing significant contributions to Condensed Matter Physics and related interdisciplinary fields. With his dedication to advancing scientific understanding in Condensed Matter Physics, Dr. Mohsin Rafique stands as a prominent figure whose expertise continues to influence modern material science.Google Scholar profile of 553 Citations, 13 h-index, 18 i10-index.

Profiles: Google Scholar | ORCID

Featured Publications

1. Rashid, J., Abbas, A., Chang, L. C., Iqbal, A., Haq, I. U., Rehman, A., Awan, S. U., & others. (2019). Butterfly cluster like lamellar BiOBr/TiO₂ nanocomposite for enhanced sunlight photocatalytic mineralization of aqueous ciprofloxacin. Science of the Total Environment, 665, 668–677.

2. Rashid, J., Saleem, S., Awan, S. U., Iqbal, A., Kumar, R., Barakat, M. A., Arshad, M., & others. (2018). Stabilized fabrication of anatase-TiO₂/FeS₂ (pyrite) semiconductor composite nanocrystals for enhanced solar light-mediated photocatalytic degradation of methylene blue. RSC Advances, 8(22), 11935–11945.

3. Liao, M., Wang, H., Zhu, Y., Shang, R., Rafique, M., Yang, L., Zhang, H., Zhang, D., & others. (2021). Coexistence of resistance oscillations and the anomalous metal phase in a lithium intercalated TiSe₂ superconductor. Nature Communications, 12(1), 5342.

4. Awan, S. U., Hasanain, S. K., Rashid, J., Hussain, S., Shah, S. A., Hussain, M. Z., & others. (2018). Structural, optical, electronic and magnetic properties of multiphase ZnO/Zn(OH)₂/ZnO₂ nanocomposites and hexagonal prism shaped ZnO nanoparticles synthesized by pulse laser. Materials Chemistry and Physics, 211, 510–521.

5. Rafique, M., Feng, Z., Lin, Z., Wei, X., Liao, M., Zhang, D., Jin, K., & Xue, Q. K. (2019). Ionic liquid gating induced protonation of electron-doped cuprate superconductors. Nano Letters, 19(11), 7775–7780.*

Prof. Dr. Murat Barut | Motor Control | Best Researcher Award

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Prof. Dr. Murat Barut | Motor Control | Best Researcher Award

 Professor | Nigde Omer Halisdemir University | Turkey

Prof. Dr. Murat Barut, a distinguished Professor in Electrical and Electronics Engineering, has made significant contributions in the field of Motor Control, integrating advanced estimation techniques, artificial intelligence, and control algorithms into electrical drive systems. His educational background spans from Electronics Engineering at Erciyes University to dual doctorates in Control and Computer Engineering and Electric and Computer Engineering from prestigious universities in Türkiye and the USA. His professional journey includes academic and research roles at Nigde University, Istanbul Technical University, and the University of Alaska Fairbanks, where he focused extensively on Motor Control applications for induction and synchronous machines. Prof. Dr. Murat Barut’s research interests center on speed-sensorless estimation, position-sensorless operation, Extended Kalman Filter design, artificial intelligence-based modeling, and high-performance Motor Control systems. He has led and participated in multiple funded projects dedicated to real-time Motor Control algorithm development and FPGA implementations. Recognized with honors such as the Siemens Excellence Award and the Most Influential Scientist Award, he continues to advance Motor Control research with innovative methodologies. His professional skills encompass estimation theory, adaptive control, power electronics, and signal processing — all directed toward efficient Motor Control of electrical drives. Prof. Dr. Murat Barut has contributed as a reviewer and editor in various IEEE and SCI-indexed journals, reinforcing his reputation in the global Motor Control community. His career exemplifies excellence in engineering education, innovation, and leadership, with a strong record of scholarly impact demonstrated through a Google Scholar profile of 2011 citations, 20 h-index, and 27 i10-index.

Profiles: Google Scholar | ORCID

Featured Publications

1. Barut, M., Bogosyan, S., & Gokasan, M. (2007). Speed-sensorless estimation for induction motors using extended Kalman filters. IEEE Transactions on Industrial Electronics, 54(1), 272–280.

2. Barut, M., Bogosyan, S., & Gokasan, M. (2008). Experimental evaluation of braided EKF for sensorless control of induction motors. IEEE Transactions on Industrial Electronics, 55(2), 620–632.

3. Zerdali, E., & Barut, M. (2017). The comparisons of optimized extended Kalman filters for speed-sensorless control of induction motors. IEEE Transactions on Industrial Electronics, 64(6), 4340–4351.

4. Barut, M., Demir, R., Zerdali, E., & Inan, R. (2011). Real-time implementation of bi input-extended Kalman filter-based estimator for speed-sensorless control of induction motors. IEEE Transactions on Industrial Electronics, 59(11), 4197–4206.

5. Yildiz, R., Barut, M., & Zerdali, E. (2020). A comprehensive comparison of extended and unscented Kalman filters for speed-sensorless control applications of induction motors. IEEE Transactions on Industrial Informatics, 16(10), 6423–6432.*

Dr. Liping Gong | Mechanical engineering | Best Researcher Award

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Dr. Liping Gong | Mechanical engineering | Best Researcher Award

Associate Research Fellow | University of Wollongong | Australia

Dr. Liping Gong is a distinguished researcher in the field of mechanical engineering, demonstrating exceptional expertise in advanced materials, vibration control, and energy harvesting systems. He earned his Doctor of Philosophy in mechanical engineering from the University of Wollongong, Australia, where his work received the Examiners’ Commendation for Outstanding Thesis. His academic foundation in mechanical engineering was strengthened by a Bachelor’s degree in Engineering Mechanics from Chang’an University, China. As a Postdoctoral Research Fellow, he has made significant strides in developing shear-stiffening phononic crystals through stereolithography for vibration and acoustic applications, alongside mentoring students in material characterization and finite element modeling—core skills in mechanical engineering research. His contributions span the design of magnetorheological elastomers, liquid metal-based nanogenerators, and intelligent materials for energy harvesting, reflecting innovation across various mechanical engineering domains. Dr. Gong’s research in mechanical engineering has been published in top-tier journals such as Advanced Materials, Nano Energy, and Smart Materials and Structures. His dedication has been recognized with the Best Oral Presentation Award at international mechanical engineering conferences. His research skills encompass experimental design, data analysis, material fabrication, and computational modeling—crucial aspects of mechanical engineering advancement. With deep involvement in reviewing for international journals, Dr. Gong continues to contribute to global mechanical engineering excellence. His professional journey highlights a commitment to innovation, interdisciplinary collaboration, and scientific impact within mechanical engineering.Google Scholar profile of 301 Citations, 7 h-index, 7 i10-index.

Profile: Google Scholar

Featured Publications

1. Wang, S., Gong, L., Shang, Z., Ding, L., Yin, G., Jiang, W., Gong, X., & Xuan, S. (2018). Novel safeguarding tactile e‐skins for monitoring human motion based on SST/PDMS–AgNW–PET hybrid structures. Advanced Functional Materials, 28(18), 1707538.

2. Zhang, Q., Lu, H., Yun, G., Gong, L., Chen, Z., Jin, S., Du, H., Jiang, Z., & Li, W. (2024). A laminated gravity‐driven liquid metal‐doped hydrogel of unparalleled toughness and conductivity. Advanced Functional Materials, 34(31), 2308113.

3. Wu, H., Gong, N., Yang, J., Gong, L., Li, W., & Sun, S. (2024). Investigation of a semi-active suspension system for high-speed trains based on magnetorheological isolator with negative stiffness characteristics. Mechanical Systems and Signal Processing, 208, 111085.

4. Gong, L., Xuan, T., Wang, S., Du, H., & Li, W. (2023). Liquid metal based triboelectric nanogenerator with excellent electrothermal and safeguarding performance towards intelligent plaster. Nano Energy, 109, 108280.

5. Jin, S., Yang, J., Sun, S., Deng, L., Chen, Z., Gong, L., Du, H., & Li, W. (2023). Magnetorheological elastomer base isolation in civil engineering: a review. Journal of Infrastructure Intelligence and Resilience, 2(2), 100039.

Dr. Atangana Likéné André Aimé | High Energy Physics | Best Researcher Award

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Dr. Atangana Likéné André Aimé | High Energy Physics | Best Researcher Award

Post-Doctoral Researcher | University of Geneva | Switzerland

Dr. Atangana Likéné André Aimé is a distinguished researcher in High Energy Physics with expertise spanning Nuclear Physics, Particle Physics, and Radiation Protection. His academic background, marked by advanced degrees in Physics, reflects a strong foundation in theoretical and applied High Energy Physics. Professionally, he has served as a Research Officer at the Research Center of Nuclear Science and Technology, a Lecturer at the University of Yaoundé I, and a Post-Doctoral Researcher affiliated with the ATLAS Experiment at CERN, contributing to global advancements in High Energy Physics. His research interests include Quantum Chromodynamics, quark confinement, nuclear decay, and the application of machine learning to High Energy Physics phenomena. Dr. Atangana’s excellence in research has earned him notable honors, including the Best Researcher Award in High Energy Physics, academic scholarships, and leadership roles in scientific collaborations. His skills encompass symbolic computation, scientific programming, and Monte Carlo simulations, all pivotal in modern High Energy Physics modeling and analysis. With an active presence in international conferences and publications across prestigious journals like Nuclear Physics A, European Physical Journal C, and Modern Physics Letters A, he continues to advance High Energy Physics through innovative theoretical frameworks and computational methods. His dedication to advancing knowledge and mentoring the next generation of scientists underscores his professional integrity and global recognition. Scopus profile of 37 Citations, 24 Documents, 3 h-index.

Profiles: Scopus | ORCID

Featured Publications

1. Ahmadou, K., Atangana Likéné, A., Mbida Mbembe, S., Ema’a Ema’a, J. M., Ele Abiama, P., & Ben-Bolie, G. H. (2025). Unveiling nuclear energy excitations and staggering effect in the γ-band of the isotope chain 180−196Pt. International Journal of Modern Physics E.

2. Atangana Likéné, A. A., Ndjana Nkoulou, J. E. II, Oumar Bobbo, M., & Saidou. (2025). Analytical solutions of the 222Rn radon diffusion-advection equation through soil using Atangana–Baleanu time fractional derivative. Indian Journal of Physics.

3. Nga Ongodo, D., Atangana Likéné, A. A., Ema’a Ema’a, J. M., Ele Abiama, P., & Ben-Bolie, G. H. (2025). Effect of spin-spin interaction and fractional order on heavy pentaquark masses under topological defect space-times. The European Physical Journal C.

4. Nga Ongodo, D., Atangana Likéné, A. A., Zarma, A., Ema’a Ema’a, J. M., Ele Abiama, P., & Ben-Bolie, G. H. (2025). Hyperbolic tangent form of sextic potential in Bohr Hamiltonian: Analytical approach via extended Nikiforov–Uvarov and Heun equations. International Journal of Modern Physics E.

5. Atangana Likéné, A. A., Ndjana Nkoulou, J. E. II, & Saidou. (2025). Angular momentum dependence of nuclear decay of radon isotopes by emission of 14C nuclei and branching ratio relative to α-decay. The European Physical Journal Plus.

Franck C Mushid | Engineering | Best Researcher Award

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Mr. Franck C Mushid | Engineering | Best Researcher Award

Doctoral Researcher | University of KwaZulu-Natal | South Africa

Mr. Franck C Mushid, an accomplished scholar in the field of Engineering, has demonstrated outstanding expertise and leadership through his role as a Lecturer and Doctoral Researcher at the University of KwaZulu-Natal. His Engineering background, combined with his deep focus on Battery Energy Storage Systems (BESS), reflects a strong commitment to advancing Engineering solutions for renewable integration and smart grid efficiency. With extensive Engineering research experience and innovative thinking, he develops frameworks that enhance voltage regulation, grid stability, and frequency control. His Engineering-oriented approach bridges theoretical understanding and practical implementation, emphasizing sustainability and real-world adaptability in modern distribution networks. Through Engineering education and mentorship, he cultivates the next generation of innovators, reinforcing academic excellence and applied Engineering research. His professional affiliations and publications highlight a consistent dedication to Engineering progress and energy system optimization. Recognized for his Engineering contributions to renewable infrastructure and grid reliability, he continues to influence the broader landscape of Engineering research and education. His achievements, particularly in sustainable energy systems, underline a vision driven by innovation and academic rigor. This distinguished academic profile is supported by a Google Scholar record of 37 citations, 1 h-index, and 1 i10 index, reflecting Mr. Franck C Mushid’s sustained impact in the field.

Profile: Google Scholar

Featured Publications

1. Mushid, F. C., & Dorrell, D. G. (2017). Review of axial flux induction motor for automotive applications. IEEE Workshop on Electrical Machines Design, Control and Diagnosis.

2. Mushid, F. C., & Khan, M. F. (2023). A survey on energy storage in electric power systems and its applications in MV/LV networks. Preserved in Portico, 21.

3. Mushid, F. C., & Khan, M. F. (2025). Battery energy storage for ancillary services in distribution networks: Technologies, applications, and deployment challenges—A comprehensive review. Energies, 18(20), 5443.

4. Apata, O., & Mushid, F. C. (2025). Energy storage systems in South Africa: A comprehensive review of policy challenges and opportunities for MV/LV networks. 2025 Conference on Information Communications Technology and Society (ICTAS).

5. Mushid, F. C., & Khan, M. F. (2025). An analysis of South Africa's diurnal energy distribution towards a strategy on LV storage. IET Renewable Power Generation, 19(1), e70106.