Saleem Abdullah | Pure Mathematics | Research Excellence Award

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Prof. Dr. Saleem Abdullah | Pure Mathematics | Research Excellence Award

Tenured Professor | Abdul Wali Khan University Mardan, KP | Pakistan

Prof. Dr. Saleem Abdullah is a distinguished mathematician at Abdul Wali Khan University Mardan, KP, Pakistan, widely recognized for his influential research in fuzzy set theory and decision sciences. His work primarily focuses on spherical fuzzy sets, Pythagorean and picture fuzzy models, fuzzy aggregation operators, and multi-criteria decision-making techniques. Through highly cited publications in leading international journals, he has made significant contributions to decision support systems, optimization, and uncertainty modeling, with applications spanning engineering, management, and real-world complex systems.

Citation Metrics (Google Scholar)

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Featured Publications

 

Mustapha Bouallala | Numerical Analysis | Numerical Analysis Research Award

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Prof. Mustapha Bouallala | Numerical Analysis | Numerical Analysis Research Award

Mustapha Bouallala | Cadi Ayyad University | Morocco

Prof. Mustapha Bouallala, from the Polydisciplinary Faculty at Cadi Ayyad University in Safi, Morocco, specializes in applied mathematics with a focus on variational and hemivariational inequalities, contact mechanics, thermo-viscoelasticity, and fractional‐order differential models. His work emphasizes the mathematical analysis, modeling, and numerical simulation of complex physical systems governed by non-smooth dynamics, memory effects, and time-fractional derivatives. He contributes to the development of analytical frameworks for contact problems involving viscoelastic materials, locking materials, and thermo-mechanical interactions. Through rigorous mathematical modeling and approximation techniques, his research advances the understanding of nonlinear evolutionary problems and supports applications in engineering mechanics, material behavior, and thermal–structural interaction systems.

Profiles: Scopus | Orcid 

Featured Publications

Bouallala, M., Essoufi, E.-H., & Ouafik, Y. (2026). Modeling and simulation of time-fractional derivative contact problem in thermo-viscoelasticity. Rendiconti del Circolo Matematico di Palermo Series 2. https://doi.org/10.1007/s12215-025-01318-1
Year: 2026

Ouaanabi, A., Alaoui, M., Bouallala, M., & Essoufi, E.-H. (2025). Continuous dependence result for a class of evolutionary variational-hemivariational inequalities with application to a dynamic thermo-viscoelastic contact problem. Acta Applicandae Mathematicae. https://doi.org/10.1007/s10440-025-00707-z
Year: 2025

Bouallala, M., Bourichi, S., Essoufi, E. H., & Rahnaoui, H. (2025). Approximation of solution for unilateral contact problem with locking materials. Mathematical Methods in the Applied Sciences. https://doi.org/10.1002/mma.70131
Year: 2025

Bouallala, M., Ouafik, Y., & Bendarag, A. (2025). Analysis of a thermo-viscoelastic contact problem with normal damped response, unilateral constraint and memory term. SeMA Journal. https://doi.org/10.1007/s40324-025-00418-3
Year: 2025

Aharrouch, B., & Bouallala, M. (2025). Convergence analysis of Kantorovich-type operators in variable exponent Sobolev spaces. Georgian Mathematical Journal. https://doi.org/10.1515/gmj-2025-2089
Year: 2025

Milica Milovanović | Operations Research | Excellence in Research Award

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Prof. Milica Milovanović | Operations Research | Excellence in Research Award

Master Transportation Engineer | Faculty of Transport and Traffic Engineering, University of Belgrade | Serbia

Prof. Milica Milovanović, affiliated with the Faculty of Transport and Traffic Engineering at the University of Belgrade, specializes in transport safety, risk analysis, and decision-making methodologies in aviation and road traffic systems. Her research focuses on evaluating the Value of Statistical Life (VSL) in transport accidents, optimizing safety measures in aviation operations, and conducting risk assessments involving UAVs, drones, and logistics systems.
She frequently applies advanced multi-criteria decision-making (MCDM) models, hybrid assessment techniques, and quantitative risk frameworks. Her work contributes to improved safety policies, evidence-based investment decisions, and the development of safer, more efficient air and road transport systems.

Profiles: Scopus | Orcid

Featured Publications

Milovanović, M., Vujačić Petrović, J., Čokorilo, O., Vasov, Lj., Mirosavljević, P. D., & Stojiljković, B. (2025). Analysis of the value of statistical life in traffic accidents based on investments evaluation. Tehnika. https://doi.org/10.5937/tehnika2502223M

Snežana Tadić, Milovanović, M., Krstić, M., & Čokorilo, O. (2025). Selection of safety measures in aircraft operations: A hybrid Grey Delphi–AHP–ADAM MCDM model. Eng. https://doi.org/10.3390/eng6110295

Milovanović, M., Čokorilo, O., Ivković, I., Stojiljković, B., & Vasov, Lj. (2024). The value of statistical life in air and road transport. Aircraft Engineering and Aerospace Technology. https://doi.org/10.1108/aeat-01-2024-0019

Marina, M., Čokorilo, O., Mirosavljević, P., Vasov, Lj., Stojiljković, B., & Milovanović, M. (2024). Analysis of the impact of UAV collision on a commercial aircraft. In 2024 6th International Conference on Control Systems, Mathematical Modeling, Automation and Energy Efficiency (SUMMA). https://doi.org/10.1109/summa64428.2024.10803713

Tadić, S., Krstić, M., Veljović, M., Čokorilo, O., & Milovanović, M. (2024). Risk analysis of the use of drones in city logistics. Mathematics, 12(8), 1250. https://doi.org/10.3390/math12081250

Spyridon Kosionis | Theoretical & Mathematical Physics | Mathematical Physics Leadership Award

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Dr. Spyridon Kosionis | Theoretical & Mathematical Physics | Mathematical Physics Leadership Award

Researcher & Teaching Personnel| Department of Materials Science, School of Natural Sciences University of Patras, Greece | Greece

Dr. Spyridon Kosionis, from the Department of Materials Science at the University of Patras, Greece, conducts research in quantum optics, nanophotonics, and hybrid quantum–plasmonic systems. His work focuses on the optical properties of semiconductor quantum dots, metal nanoparticle interactions, and exciton dynamics in nanoscale structures. He investigates phenomena such as tunneling-induced transparency, slow light, nonlinear optical response, and hybrid light–matter coupling. Through theoretical modeling and computational analysis, Dr. Kosionis contributes to the understanding of quantum coherence, plasmon-enhanced optical effects, and advanced photonic functionalities in quantum dot–metal nanostructure systems. His research supports developments in nanoscale photonics, quantum information engineering, and optoelectronic device design.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Kosionis, S. G., Kontakos, A., & Paspalakis, E. (2023). The effect of the core on the absorption in a hybrid semiconductor quantum dot–metal nanoshell system. Applied Sciences, 13(2), 1160.
Citations: 8
Year: 2023

Kosionis, S. G., & Paspalakis, E. (2023). Tunneling induced transparency and slow light in an asymmetric double quantum dot molecule–metal nanoparticle hybrid. Journal of Applied Physics, 134(24).
Citations: 7
Year: 2023

Kosionis, S. G., & Paspalakis, E. (2023). Nonlinear optical response of a strongly-driven quantum dot exciton–biexciton system. Micro and Nanostructures, 175, 207508.
Citations: 7
Year: 2023

Kontakos, A., Paspalakis, E., & Kosionis, S. G. (2023). Linear optical response of a quantum dot–metal nanoshell hybrid system. Physica E: Low-dimensional Systems and Nanostructures, 148, 115625.
Citations: 6
Year: 2023

Kosionis, S., & Paspalakis, E. (2020). Four-wave mixing in asymmetric double quantum dot molecule–metal nanoparticle assemblies. Materials Proceedings, 4(1), 89.
Citations: 6
Year: 2020

Shinya Matsuzaki | Mathematical Physics | Research Excellence Award

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Prof. Shinya Matsuzaki | Mathematical Physics | Research Excellence Award

Shinya Matsuzaki | College of Physics and Center for Theoretical Physics | China

Prof. Shinya Matsuzaki, based at the College of Physics and the Center for Theoretical Physics in China, is a theoretical physicist specializing in quantum chromodynamics (QCD), scale-invariant gravity, early-universe cosmology, and dynamical symmetry breaking. His research explores fundamental questions about mass generation, dark sector dynamics, electroweak phase transitions, baryogenesis, and axion-related phenomena. Through analytic modeling and high-energy theoretical frameworks, he investigates mechanisms such as top-quark condensation, dynamical scalegenesis, CP violation in QCD, and inflation driven by composite fields. His contributions provide new insights into the interplay between particle physics and cosmology, helping to advance theoretical understanding of the early universe and the origin of fundamental mass scales.

Profile: Scopus 

Featured Publications

Matsuzaki, S., et al. (2025). Spacetime and Planck mass generation from scale-invariant degenerate gravity. Physical Review D.
Citations: 3
Year: 2025

Matsuzaki, S., et al. (2025). Dark QCD perspective inspired by strong CP problem at QCD scale. Journal of High Energy Physics.
Citations: 0
Year: 2025

Matsuzaki, S., et al. (2024). Walking-dilaton hybrid inflation with B − L Higgs embedded in dynamical scalegenesis. Journal of High Energy Physics.
Citations: 2
Year: 2024

Matsuzaki, S., et al. (2024). Ladder top-quark condensation imprints in supercooled electroweak phase transition. Journal of High Energy Physics.
Citations: 3
Year: 2024

Matsuzaki, S., et al. (2024). Baryogenesis via QCD preheating with nonadiabatic baryon chemical potential. Journal of High Energy Physics.
Citations: 1
Year: 2024

Matsuzaki, S., et al. (2024). Impact of a local CP-odd domain in hot QCD on the axionic domain-wall interpretation of NANOGrav 15-year data. Physical Review D.
Citations: 2
Year: 2024

Xichang Wang | Mathematical Engineering | Research Excellence Award

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Prof. Xichang Wang | Mathematical Engineering | Research Excellence Award

Director | China Aeronautical Manufacturing Technology Institute | China

Prof. Xichang Wang specializes in welding engineering, metal material standards, and aerospace manufacturing processes. His research focuses on structural modeling of welding process specifications, thermal bonding behavior of titanium alloys, and the development of metal material standards within China’s evolving military–civilian integration framework. He has contributed to key studies on electron beam welding (EBW), thermal self-compressing bonding mechanisms, and material property characterization for aviation and submersible applications. His work integrates materials science, welding technology, and standards engineering, supporting the advancement of high-performance manufacturing in aerospace and defense industries.

Profiles: Scopus | Orcid

Featured Publications

  • Wang, X., Li, G., Zeng, Y., Wang, X., Lyu, X., & Cao, Y. (2025). Research on the structural model of welding process specifications for aviation products based on trade-off design standards. Standards, 5(4), Article 0031. https://doi.org/10.3390/standards5040031
    Year: 2025

  • Wang, X.-C., Wu, Q.-Y., Xu, M., Qi, D.-X., Lu, J., & Teng, C.-Y. (2019). A brief analysis on the development of metal material standards in China under the background of military-civilian integration. Metallurgical Analysis, (Yejin Fenxi), Article 010558. https://doi.org/10.13228/j.boyuan.issn1000-7571.010558
    Year: 2019

  • Deng, Y., Guan, Q., Tao, J., Wu, B., & Wang, X. (2017). Effect of heating time on rigid restraint thermal self-compressing bonding of TC4 alloy. Rare Metal Materials and Engineering.
    Year: 2017

  • Fu, P., Mao, Z., Tang, Z., Li, K., Wang, X., & Zuo, C. (2017). Microstructures and properties of TC4 ELI alloy with horizontal electron beam welding for submersible manned cabin. Applied Ocean Research. https://doi.org/10.1016/j.apor.2017.09.004
    Year: 2017

David Raju Thommandru | Mathematical Modeling | Mathematical Modeling Breakthrough Award

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Dr. David Raju Thommandru | Mathematical Modeling | Mathematical Modeling Breakthrough Award

Research scholar | VIT-AP University | India

Dr. T. David Raju is an Assistant Professor of Mathematics at R.K. College of Engineering & Technology, Kethanakonda, with over 15 years of academic experience. His research focuses on mathematical modeling, nonlinear dynamics, and ecological systems, particularly analyzing tipping points and time delays in complex biological interactions. His work bridges applied mathematics with ecology, contributing valuable insights into predator–prey dynamics under environmental stress. With a strong academic background (M.Phil., M.Sc., M.Ed.) and a Silver Medal from Andhra University, he combines teaching excellence with impactful research in applied nonlinear systems.

Profile: Scopus

Featured Publications

  1. T. David Raju (2025). Uncovering ecological thresholds: Effects of external stress driven tipping point and delay in predator–prey system. Chaos, Solitons & Fractals (Open Access).

 

 

 

Ilhem Kadri | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Ilhem Kadri | Applied Mathematics | Best Researcher Award

Associate Professor | University of Oran 1 – Ahmed Ben Bella | Algeria

Dr. Ilhem Kadri is an Associate Professor of Applied Mathematics at the University of Oran 1, Algeria, specializing in fractional calculus, nonlinear partial differential equations, and computational mathematics. She earned her Ph.D. in Applied Mathematics from the University of Jordan, following her master’s and bachelor’s degrees in mathematics from the University of Oran 1 Ahmed Ben Bella. Dr. Kadri’s academic and research trajectory reflects a deep commitment to advancing the analytical and numerical treatment of fractional and conformable differential equations, as well as exploring chaotic and nonlinear dynamical systems. Her scholarly contributions include numerous research articles in internationally recognized journals, such as the European Journal of Pure and Applied Mathematics, Mathematics, and Results in Nonlinear Analysis, where she has developed novel analytical and numerical frameworks including the Laplace Transform Decomposition Method, the Conformable Fractional Laplace Transform Method, and applications of fractional Fourier series and tensor product techniques. She has presented her work at several prestigious international conferences and symposia across Europe, Asia, and Africa, contributing to global dialogues on applied and computational mathematics. Dr. Kadri is also actively engaged in academic collaboration, scientific workshops, and professional development activities focused on enhancing research impact and innovation in mathematical sciences. Her expertise and scholarly output reflect a strong foundation in both theoretical and applied aspects of mathematics, positioning her as an influential contributor to the field of fractional calculus and nonlinear analysis.10 Citations, 4 Documents, 2 h-index.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Kadri, I.*, Al-Horani, M., & Khalil, R. (2022). Solution of non-linear fractional Burger’s type equations using the Laplace transform decomposition method. Results in Nonlinear Analysis, 5(2), 131–150. Citations: 12.

2. Kadri, I.*, Al Horani, M., & Khalil, R. (2023). Solution of fractional Laplace type equation in conformable sense using fractional Fourier series with separation of variables technique. Results in Nonlinear Analysis, 6(2), 53–59. Citations: 10.

3. Kadri, I.*, Horani, M., & Khalil, R. (2020). Tensor product technique and fractional differential equations. Journal of Semigroup Theory and Applications, Article ID 6. Citations: 5.

4. Ahmed, A. I., Elbadri, M., Alotaibi, A. M., Ashmaig, M. A. M., Dafaalla, M. E., & Kadri, I.* (2025). Chaos and dynamic behavior of the 4D hyperchaotic Chen system via variable-order fractional derivatives. Mathematics, 13(20), 3240.

5. Kadri, I.*, Saadeh, R. S., AlMutairi, D. M., Dafaalla, M. E., Berir, M., & Abdoon, M. A. (2025). Analytical and numerical investigation of a fractional order 4D chaotic system via Caputo fractional derivative. European Journal of Pure and Applied Mathematics, 18(3).

Seyed Abolfazl Hosseini | Communication Systems | Best Researcher Award

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Dr. Seyed Abolfazl Hosseini | Communication Systems | Best Researcher Award

Faculty member | Islamic Azad University | Iran

Dr. Seyed Abolfazl Hosseini is a distinguished faculty member in the Department of Electrical Engineering at Islamic Azad University, Tehran, Iran, specializing in Communication Systems Engineering and Computer Science. He holds a Ph.D. and M.Sc. in Electrical Engineering (Communications Systems Engineering) from Tarbiat Modares University and K.N. Toosi University of Technology, respectively, and a B.Sc. in Control Engineering from Sharif University of Technology. Over his academic career, Dr. Hosseini has served in several leadership capacities, including Dean of the Electrical and Electronics Research Centre, Dean of the Engineering Faculty, and Director of the Department of Communications Engineering. His professional experience extends beyond academia, having served as CEO of Pars Kelend Co., where he managed projects in electronic surveillance, IoT, AI, and network services, and as an expert engineer at the Tehran Traffic Control Company, where he developed remote toll systems and air quality detection methods using image processing. His research primarily focuses on hyperspectral image analysis, digital signal and image processing, machine learning, cryptography, and MIMO communication systems. Dr. Hosseini has authored numerous high-impact publications in leading journals such as IEEE Access, Earth Science Informatics, and Remote Sensing Letters, contributing novel methods in feature reduction, watermarking, and energy-efficient communications. His technical expertise spans rational function approximation, fractal theory, and advanced machine learning algorithms applied to remote sensing and data compression. A dedicated educator and mentor, he has supervised many M.Sc. and Ph.D. candidates and actively participated in developing technical standards and research-driven industrial collaborations. Through his integrated contributions to academia, research, and technology innovation, Dr. Hosseini continues to advance modern communication and computational systems.11 Citations, 3 Documents, 2 h-index.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Hosseini, S. A.*, & Ghassemian, H. (2016). Rational function approximation for feature reduction in hyperspectral data. Remote Sensing Letters, 7(2), 101–110. Citations: 42.

2. Hosseini, S. A.*, & Ghassemian, H. (2015). Hyperspectral data feature extraction using rational function curve fitting. International Journal of Pattern Recognition and Artificial Intelligence. Citations: 23.

3. Hosseini, S. A.*, & Ghassemian, H. (2013). A new hyperspectral image classification approach using fractal dimension of spectral response curve. Proceedings of the Iranian Conference on Electrical Engineering (ICEE). Citations: 17.

4. Hosseini, A., & Ghassemian, H. (2012). Classification of hyperspectral and multispectral images by using fractal dimension of spectral response curve. 20th Iranian Conference on Electrical Engineering (ICEE), 1452–1457. Citations: 19.

5. Beitollahi, M., & Hosseini, S. A.* (2018). Using Savitsky–Golay smoothing filter in hyperspectral data compression by curve fitting. Proceedings of the Iranian Conference on Electrical Engineering (ICEE). Citations: 15.

Milad Samady Shadlu | Signal Processing | Best Researcher Award

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Dr. Milad Samady Shadlu | Signal Processing | Best Researcher Award

Senior Researcher | Islamic Azad University | Iran

Dr. Milad Samady Shadlu is a distinguished lecturer at the University of Applied Science and Technology of Iran, specializing in Power Electronics, Renewable Energy Systems, and Control Engineering. He holds a Ph.D. in Electrical Engineering with a focus on Power Systems and Converters. Dr. Shadlu’s expertise spans the design, modeling, and control of high-power converters and inverters, multilevel converter systems, renewable energy integration, and maximum power point tracking (MPPT) methods for photovoltaic applications. With a strong academic foundation in control strategies and optimization methods, he has led and collaborated on numerous research projects focused on enhancing power system stability, harmonic mitigation, and fault diagnosis in renewable and grid-connected systems. Dr. Shadlu’s research portfolio comprises over twenty-four publications in reputed journals and international conferences, including notable works on MPPT algorithms, model predictive control, and fault analysis in modular multilevel converters and HVDC systems. He has authored and translated several books in the fields of energy storage, converter technology, and solar power generation, reflecting his commitment to academic knowledge dissemination. As an educator, he has taught a wide range of courses in electrical and control engineering and was honored as the Best Lecturer by the University of Applied Science and Technology of North Khorasan. His recognitions include the Best Researcher Award from the Young Researchers and Elite Club of North Khorasan Province. Dr. Shadlu’s current research focuses on fault detection in modular multilevel converters, hybrid control strategies combining extremum seeking and model predictive control methods for PV systems, and advanced control mechanisms for microgrids and active filters. With a robust record of scholarly output, including highly cited works on power converter control and renewable energy applications, Dr. Milad Samady Shadlu stands as an influential figure in modern power electronics research. 133 Citations, 24 Documents, 6 h-index.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

1. Fatemi, S. M., Shadlu, M. S.*, & Talebkhah, A. (2019). Comparison of three-point P&O and hill climbing methods for maximum power point tracking in PV systems. Proceedings of the 10th International Power Electronics, Drive Systems and Technologies Conference (PEDSTC), IEEE. Citations: 33.

2. Shadlu, M. S.* (2019). Comparison of maximum power point tracking (MPPT) algorithms to control DC-DC converters in photovoltaic systems. Recent Advances in Electrical & Electronic Engineering, 12(4), 355–368. Citations: 19.

3. Shadlu, M. S.* (2018). A comparative study between two MPPT algorithms for photovoltaic energy conversion system based on modular multilevel converter. Proceedings of the Iranian Conference on Electrical Engineering (ICEE), IEEE. Citations: 16.

4. Talebkhah, A., Shadlu, M. S.*, & Fatemi, S. M. (2019). Control strategy of a single-phase active power filter with adjustable DC link capacitor voltage for THD reduction in non-linear loads. Proceedings of the 10th International Power Electronics, Drive Systems and Technologies Conference (PEDSTC), IEEE. Citations: 14.

5. Shadlu, M. S.* (2017). Fault detection and diagnosis in voltage source inverters using principal component analysis. Proceedings of the 4th IEEE International Conference on Knowledge-Based Engineering and Innovation (KBEI). Citations: 14.