Assoc. Prof. Dr. Zied Hajej | Engineering | Research Excellence Award

Assoc. Prof. Dr. Zied Hajej | Engineering | Research Excellence Award

Associate Professor | University of Lorraine | France

Assoc. Prof. Dr. Zied Hajej is an internationally recognized academic and researcher whose work is firmly positioned at the core of Engineering, with sustained contributions across industrial Engineering, systems Engineering, computational Engineering, and decision oriented Engineering frameworks. His expertise integrates Engineering optimization, Engineering analytics, Engineering intelligence, and Engineering driven modeling to address complex production, maintenance, logistics, and reliability challenges. He has authored and co authored more than thirty peer reviewed journal articles, numerous international conference papers, books, and software solutions, reflecting a strong Engineering research portfolio with high global visibility. His Engineering research emphasizes integrated production and maintenance Engineering, sustainable Engineering systems, renewable energy Engineering, and data driven Engineering strategies supported by artificial intelligence and machine learning. He maintains active Engineering collaborations with leading international universities, research laboratories, and industrial partners, strengthening interdisciplinary Engineering innovation and knowledge transfer. His Engineering contributions have influenced industrial practices, improved system reliability, and supported sustainable societal outcomes through efficient Engineering solutions. Google Scholar profile of 1083 Citations, 18 h index, 32 i10 index.

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Featured Publications

Assist. Prof. Dr. Dinesh Kumar Chaudhary | Physics | Research Excellence Award

Assist. Prof. Dr. Dinesh Kumar Chaudhary | Physics | Research Excellence Award

Assistant Professor | Tribhuvan University | Nepal

Assist. Prof. Dr. Dinesh Kumar Chaudhary is an accomplished academic and researcher with strong expertise in Physics, actively contributing to experimental and applied Physics with emphasis on semiconductor Physics, materials Physics, sensor Physics, and nanostructured systems. His work in Physics integrates thin film Physics, gas sensing Physics, optical Physics, and electrical Physics, demonstrating consistent advancement of Physics driven solutions for real world applications. He has authored multiple peer reviewed publications in reputed journals, reflecting sustained impact in Physics research and interdisciplinary Physics collaboration with international scientists. His Physics contributions have supported advancements in sensing technologies, energy related Physics applications, and applied Physics methodologies relevant to industry and society. Through active collaboration, peer review service, and scholarly dissemination, he strengthens the global Physics community and promotes responsible Physics research aligned with societal needs. His academic service and research engagement highlight a commitment to high quality Physics education, innovation in Physics experimentation, and knowledge transfer through Physics based solutions that support technological and environmental progress. Scopus profile of 277 Citations, 24 Documents, 11 h index.

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Sensing Performance of a ZnO-based Ammonia Sensor

Journal of Physical Science, 2022
Cited by 40

Assist. Prof. Dr. Reem Abdullah Sadan Aljethi | Differentiation equation | Best Researcher Award

Assist. Prof. Dr. Reem Abdullah Sadan Aljethi | Differentiation equation | Best Researcher Award

Associate Professor | Imam Mohammad Ibn Saud Islamic University | Saudi Arabia

Assist. Prof. Dr. Reem Abdullah Sadan Aljethi is an accomplished scholar in Applied Mathematics whose expertise lies prominently in the study and advancement of Differentiation Equation systems. Her academic journey, including a Doctor of Philosophy from Universiti Putra Malaysia and earlier degrees from King Saud University, shaped her deep engagement with Differentiation Equation models and fractional calculus. With professional experience as a Lecturer, Vice Dean, and currently an Associate Professor at Imam Mohammad Ibn Saud Islamic University, she has significantly contributed to teaching, research, and academic administration. Her research explores fractional Differentiation Equation formulations, Lévy stochastic processes, and applications in financial and physical systems. Her Q1-ranked publications in journals like Mathematics and Chaos, Solitons & Fractals highlight her command of complex Differentiation Equation frameworks. Recognized through her participation in international conferences and leadership programs, she exhibits strong analytical and computational skills, particularly in MATLAB and mathematical modeling. Her dedication to the Differentiation Equation field continues to influence emerging studies in nonlinear systems, fractional models, and applied mathematics. Overall, Assist. Prof. Dr. Reem Abdullah Sadan Aljethi’s scholarly path exemplifies excellence, innovation, and leadership in the global study of Differentiation Equation research and its expanding interdisciplinary applications.

Profiles: Google Scholar | ORCID

Featured Publications

1. Aljethi, R. A., & Kılıçman, A. (2022). Financial applications on fractional Lévy stochastic processes. Fractal and Fractional, 6(5), 278.

2. Aljethi, R. A., & Kılıçman, A. (2023). Analysis of fractional differential equation and its application to realistic data. Chaos, Solitons & Fractals, 171, 113446.

3. Aljethi, R. A., & Kılıçman, A. (2023). Derivation of the fractional Fokker–Planck equation for stable Lévy with financial applications. Mathematics, 11(5), 1102.

4. Aljedhi, R. A., & Kılıçman, A. (2020). Fractional partial differential equations associated with Lévy stable process. Mathematics, 8(4), 508.

5. Ejaz Hussain, U. Y., Aljethi, R. A., & Farooq, K. (2025). Optical multi-peakon dynamics in the fractional cubic–quintic nonlinear pulse propagation model using a novel integral approach. Fractal and Fractional, 9(10), 631.