Pascal Lorenz | Information Theory | Research Excellence Award

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Prof. Dr. Pascal Lorenz | Information Theory | Research Excellence Award

Professor | University of Haute Alsace | France

Prof. Dr. Pascal Lorenz is an internationally recognized researcher in advanced communication networks, network security, and intelligent systems, serving at the University of Haute Alsace, France. His work spans next-generation wireless systems, deterministic networking, 5G/6G network slicing, vehicular networks, IoT communication models, and federated learning security.

He has contributed significantly to the design of secure, efficient, and scalable network architectures, with a focus on deterministic resource allocation, encrypted communication tunnels, and multi-gateway behavior in large-scale IoT deployments. His interdisciplinary work integrates network optimization, machine learning-based security detection, and privacy-preserving communication frameworks.

Prof. Lorenz collaborates widely with global research teams and continues to shape modern communication technologies through impactful publications, editorial roles, and supervision of advanced research in intelligent systems and next-generation networking.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

  1. Krishna, M. B., & Lorenz, P. (2024). Deterministic network slice instance policy for intra and inter slice resource management in 5G. IEEE Transactions on Vehicular Technology. Citation count: 5. Year: 2024.

  2. Atia, O. B., Al Samara, M., Bennis, I., Gaber, J., Abouaissa, A., & Lorenz, P. (2024). EMDG-FL: Enhanced malicious model detection based on genetic algorithm for federated learning. In 2024 IEEE Wireless Communications and Networking Conference (WCNC) (pp. 1–6). Citation count: 5. Year: 2024.

  3. Suma, V., Baig, Z., Shanmugam, S. K., & Lorenz, P. (2023). Inventive systems and control. Ph.D. dissertation, Department of Computer Science, City University of Hong Kong. Citation count: 5. Year: 2023.

  4. Diab, T., Gilg, M., Lorenz, P., & Drouhin, F. (2022). Using I2P (Invisible Internet Protocol) encrypted virtual tunnels for a secure and anonymous communication in VANETs: I2P vehicular protocol (IVP). Wireless Personal Communications, 127(3), 2625–2644. Citation count: 5. Year: 2022.

  5. Abakar, K. S., Bennis, I., Abouaissa, A., & Lorenz, P. (2022). A multi-gateway behaviour study for traffic-oriented LoRaWAN deployment. Future Internet, 14(11), 312. Citation count: 5. Year: 2022.

Sergii Vakarchuk | Approximation Theory of Function | Best Paper Award

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Prof. Dr. Sergii Vakarchuk | Approximation Theory of Function | Best Paper Award

Professor | Alfred Nobel University | Ukraine

Prof. Dr. Sergii Vakarchuk of Alfred Nobel University, Ukraine, is a specialist in approximation theory, functional analysis, and polynomial approximation in weighted and unweighted L2L_2 spaces. His work focuses on establishing sharp constants, deriving exact values of n-widths, and developing inequalities of Jackson type for various classes of smooth and analytic functions. He has contributed significantly to understanding the relationships between smoothness characteristics and best approximation by algebraic and trigonometric polynomials. Through precise analytical results, including exact widths of functional classes and optimal linear approximation methods, Prof. Vakarchuk has advanced the theoretical foundations of modern approximation theory and functional spaces.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

Vakarchuk, S. B. (2004). Exact constant in an inequality of Jackson type for L2-approximation on the line and exact values of mean widths of functional classes. East Journal on Approximations, 10(1), 27–39.
Citations: 41
Year: 2004

Vakarchuk, S. B., & Zabutnaya, V. I. (2016). Inequalities between best polynomial approximations and some smoothness characteristics in the space L2 and widths of classes of functions. Mathematical Notes, 99(1), 222–242.
Citations: 39
Year: 2016

Vakarchuk, S. B., & Shvachko, A. V. (2013). On best approximation in the mean by algebraic polynomials with weight and exact values of widths of function classes. Ukrainian Mathematical Journal, 65(12), 1604–1621.
Citations: 39
Year: 2013

Vakarchuk, S. B. (2002). Exact values of widths of classes of analytic functions in the disk and best linear approximation methods. Mathematical Notes, 72(5), 665–669.
Citations: 39
Year: 2002

Vakarchuk, S. B. (2001). On best polynomial approximations in L2 of certain classes of 2π-periodic functions and exact values of their n-widths. Mathematical Notes, 70(3), 300–310.
Citations: 39
Year: 2001

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

Mohamed Rossafi | Pure Mathematics | Excellence in Research Award

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Assoc. Prof. Dr. Mohamed Rossafi | Pure Mathematics | Excellence in Research Award

Mohamed Rossafi | Ibn Tofail University | Morocco

Assoc. Prof. Dr. Mohamed Rossafi of Ibn Tofail University, Morocco, conducts advanced research in functional analysis, frame theory, and Hilbert C*-modules. His work focuses on generalized frames, operator frames, perturbation stability, and structural properties of frame systems in Hilbert spaces. Through collaborative theoretical studies, he contributes to the development of continuous frames, dual frames, biframes, and G-frames, providing deeper insights into the stability, decomposition, and reconstruction processes fundamental to applied mathematics and signal analysis. His research advances the mathematical foundations used in quantum theory, operator algebras, and modern computational frameworks.

Profiles: Scopus | Orcid | Google Scholar 

Featured Publications

Touri, H. L. M. R. A., & Rossafi, M. (2021). New properties of dual continuous K-g-frames in Hilbert spaces. International Journal of Mathematics and Mathematical Sciences, 2021(1), 11.
Citations: 6
Year: 2021

Touri, A., Labrigui, H., Rossafi, M., & Kabbaj, S. (2021). Perturbation and stability of continuous operator frames in Hilbert C∗-modules. Journal of Mathematics, 2021(1), 5576534.
Citations: 6
Year: 2021

Lfounoune, A., Massit, H., Karara, A., & Rossafi, M. (2025). Sum of G-frames in Hilbert C∗-modules. International Journal of Analysis and Applications, 23, 64–64.
Citations: 5
Year: 2025

Rossafi, M., Karara, A., & El Jazzar, R. (2025). Biframes in Hilbert C-modules*. Montes Taurus Journal of Pure and Applied Mathematics, 7(1), 69–80.
Citations: 5
Year: 2025

Massit, H., Rossafi, M., & Park, C. (2024). Some relations between continuous generalized frames. Afrika Matematika, 35(1), 12.
Citations: 5
Year: 2024

Hind Hallabia | Data Science | Excellence in Research Award

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Dr. Hind Hallabia | Data Science | Excellence in Research Award

Teaching and Researcher Assistant | University Institute of Technology of Saint Etienne Jean Monnet University | France

Dr. Hind Hallabia, affiliated with the University Institute of Technology of Saint-Étienne at Jean Monnet University, France, specializes in remote sensing, pansharpening, and advanced image processing techniques for satellite data analysis. Her research focuses on developing graph-based segmentation methods, superpixel modeling, and data fusion frameworks to enhance multispectral and panchromatic imagery. Dr. Hallabia investigates latent low-rank decomposition, detail-injection mechanisms, and texture-based segmentation models to improve image quality, spatial–spectral fidelity, and analytic accuracy in Earth observation applications. Her work contributes to advances in hazardous-area monitoring, environmental assessment, and optical remote sensing technologies through methodological innovation, algorithm design, and computational enhancements.

Profiles: Scopus | Orcid

Featured Publications

  • Hallabia, H. (2025). A graph-based superpixel segmentation approach applied to pansharpening. Sensors, 25(16), Article 4992. https://doi.org/10.3390/s25164992
    Year: 2025

  • Hallabia, H. (2025). Land and aquatic spectral signatures analysis over a spatio-temporal hazardous area acquired by Worldview satellite. Annual International Congress on Electrical Engineering 2025.
    Year: 2025

  • Hallabia, H. (2025). Advanced trends in optical remotely sensed data fusion: Pansharpening case study. Iris Journal of Astronomy and Satellite Communications.
    Year: 2025

  • Hallabia, H., Hamam, H., & Ben Hamida, A. (2023). A novel detail injection framework using latent low-rank decomposition for multispectral pan-sharpening. Multimedia Tools and Applications, 82, 11971–11995. https://doi.org/10.1007/s11042-022-12770-x
    Year: 2023

  • Hallabia, H., & Hamam, H. (2021). A graph-based textural superpixel segmentation method for pansharpening application. Proceedings of IGARSS 2021. https://doi.org/10.1109/igarss47720.2021.9553304
    Year: 2021

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

Aroosa Mushtaq Muhammad Mushtaq | Statistics | Best Researcher Award

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Dr. Aroosa Mushtaq Muhammad Mushtaq | Statistics | Best Researcher Award

Vice Principal | Kings International College Mirpurt | Pakistan

Dr. Aroosa Mushtaq, affiliated with Kings International College Mirpur, Pakistan, conducts research in statistical distribution theory, probabilistic modeling, and applied statistical methods. Her work focuses on developing new probability distributions, examining their mathematical properties, and applying them to real-world data analysis. She contributes to advancements in distributional modeling through the study of reliability measures, hazard rate behavior, parameter estimation techniques, and goodness-of-fit applications. Her research supports improved statistical inference in fields such as engineering, environmental sciences, and risk analysis.

Profile: Google Scholar

Featured Publications

Mushtaq, A., Hussain, T., Shakil, M., Ahsanullah, M., & Kibria, B. M. G. (2025). An exponentiated inverse exponential distribution: Properties and applications. Axioms, 14(10), 753.
Year: 2025

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

Kenji Yoshino | Actuarial Science | Research Excellence Award

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Prof. Kenji Yoshino | Actuarial Science | Research Excellence Award

Professor | University of Miyazaki | Japan

Prof. Kenji Yoshino, from the University of Miyazaki, Japan, is a researcher in semiconductor materials, photovoltaic devices, and advanced functional materials for energy applications. His work focuses on understanding defect structures, conduction mechanisms, and semiconductor interfaces to improve the performance of materials used in solar cells, thermoelectric systems, and photocatalytic devices. He has contributed significantly to the study of dopant behavior in CdTe single crystals, defect suppression in tin perovskites, and the development of semitransparent photoanodes for solar water splitting. His research integrates experimental materials science, crystal chemistry, and device physics, supporting advancements in next-generation renewable energy technologies.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

  1. Nagaoka, A., Kimura, K., Ang, A. K. R., Takabayashi, Y., Yoshino, K., Sun, Q., … Segawa, H. (2023). Direct observation of group-V dopant substitutional defects in CdTe single crystals. Journal of the American Chemical Society, 145(16), 9191–9197.
    Citations: 24
    Year: 2023

  2. Imai, M., Kubota, T., Miyazawa, A., Aoki, M., Mori, H., Komaki, Y., & Yoshino, K. (2023). Ultra-thin layer inside separator deposited by spray pyrolysis using methylaluminoxane solution. Crystal Research and Technology, 58(3), 2200203.
    Citations: 4
    Year: 2023

  3. Higashi, T., Nishiyama, H., Pihosh, Y., Wakishima, K., Kawase, Y., Sasaki, Y., … Yoshino, K. (2023). Physicochemical insights into semiconductor properties of a semitransparent tantalum nitride photoanode for solar water splitting. Physical Chemistry Chemical Physics, 25(30), 20737–20748.
    Citations: 12
    Year: 2023

  4. Okamoto, K., Nagaoka, A., Nagatomo, K., Yoshino, K., Ota, Y., & Nishioka, K. (2022). Controlling the conduction type in a thermoelectric material (Cu₁₋ₓAgₓ)₂ZnSnS₄. Journal of Physics and Chemistry of Solids, 171, 111016.
    Citations: 5
    Year: 2022

  5. Kamarudin, M. A., Sahamir, S. R., Nishimura, K., Iikubo, S., Yoshino, K., … Hayase, S. (2022). Suppression of defect and trap density through dimethylammonium-substituted tin perovskite solar cells. ACS Materials Letters, 4(9), 1855–1862.
    Citations: 23
    Year: 2022