Mohsen Hosseinalizadeh | Environmental Science | Best Researcher Award

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Dr. Mohsen Hosseinalizadeh | Environmental Science | Best Researcher Award

Gorgan University of Agricuptural Sciences & Natural Resources | Iran

Academic Background

Dr. Mohsen Hosseinalizadeh is an Associate Professor at the Gorgan University of Agricultural Sciences and Natural Resources (GUASNR), specializing in watershed management with a focus on soil erosion and conservation. His academic journey reflects a deep engagement with applied field research, particularly on the Iranian Loess Plateau. His scholarly impact is demonstrated by his citation metrics, showing 806 total citations, an h-index of 14, and an i10-index of 18 according to Google Scholar, and comparable performance metrics recorded in Scopus. His contributions have significantly advanced the understanding of soil degradation processes and remediation strategies in complex geologic terrains.

Research Focus

Dr. Mohsen Hosseinalizadeh research emphasizes watershed management, soil erosion modeling, and soil conservation. His work integrates advanced spatial statistics, machine learning, and field-based studies to address gully and piping erosion dynamics in semi-arid regions.

Work Experience

Over his academic career, Dr. Mohsen Hosseinalizadeh has contributed extensively to teaching, mentoring, and conducting multidisciplinary research in watershed and soil management. As a field expert, he has led projects on gully formation, soil biocrust variation, and bauxite remediation. His collaboration with researchers from countries such as the USA, Poland, Italy, Spain, and Costa Rica underscores his global academic engagement and scientific influence.

Key Contributions

Dr. Mohsen Hosseinalizadeh has played a key role in advancing knowledge of geomorphological processes, particularly through the application of artificial intelligence models in soil erosion studies. His innovative research has bridged theory and practice, offering new insights into erosion susceptibility and spatial variability of soil systems. His expertise in remote sensing and GIS-based modeling has enhanced the precision and applicability of environmental management frameworks.

Awards & Recognition

Dr. Mohsen Hosseinalizadeh has been honored with distinctions recognizing his outstanding contributions to soil and watershed management, including the Best Researcher Award for his innovative studies and high-impact publications in international journals.

Professional Roles & Memberships

Dr. Mohsen Hosseinalizadeh is an active member of the Iran Watershed Bureau and serves as a reviewer for several high-impact scientific journals. His collaborations with global experts have strengthened academic partnerships and promoted sustainable watershed practices worldwide.

Profile

Google Scholar | Orcid

Featured Publications

Hosseinalizadeh, M., Kariminejad, N., Chen, W., Pourghasemi, H. R., & Keesstra, S. (2019). Gully headcut susceptibility modeling using functional trees, naïve Bayes tree, and random forest models. Geoderma, 342, 1–11.

Hosseinalizadeh, M., Kariminejad, N., Chen, W., Pourghasemi, H. R., & Alinejad, M. (2019). Spatial modelling of gully headcuts using UAV data and classifier ensembles. Geomorphology, 329, 184–193.

Hosseinalizadeh, M., Kariminejad, N., Rahmati, O., Keesstra, S., & Alinejad, M. (2019). Statistical and artificial intelligence approaches for predicting piping erosion susceptibility. Science of the Total Environment, 646, 1554–1566.

Kariminejad, N., Hosseinalizadeh, M., Pourghasemi, H. R., Bernatek-Jakiel, A., & Chen, W. (2019). Factors affecting gully headcut location using summary statistics and the maximum entropy model. Science of the Total Environment, 677, 281–298.

Kariminejad, N., Hosseinalizadeh, M., Pourghasemi, H. R., & Bernatek-Jakiel, A. (2019). GIS-based susceptibility assessment of gully headcuts and pipe collapses in semi-arid environments. Land Degradation & Development, 30(18), 2211–2225.

Impact Statement / Vision

Dr. Mohsen Hosseinalizadeh envisions developing predictive environmental models that integrate data-driven algorithms with field observations to mitigate soil degradation and enhance watershed resilience. His long-term vision is to promote sustainable land management practices through scientific innovation and international collaboration.

 

Muhammad Tayyab Khan | Veterinary Medicine | Best Researcher Award

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Dr. Muhammad Tayyab Khan | Veterinary Medicine | Best Researcher Award

University of Veterinary and Animal Sciences Swat | Pakistan

Academic Background

Dr. Muhammad Tayyab Khan holds a PhD in Theriogenology from the University of Veterinary & Animal Sciences, Lahore, where he conducted pioneering research on optimizing semen extenders and laparoscopic artificial insemination in Lohi sheep. He also earned an MPhil in Theriogenology from the same institution and a Doctor of Veterinary Medicine degree with first-class distinction. His academic training has provided a solid foundation in reproductive physiology, clinical veterinary sciences, and advanced reproductive technologies in small ruminants. According to Google Scholar, he has a total of 22 citations across multiple publications, with an h-index of 3 and an i10-index of 1. On Scopus, his research outputs are similarly recognized, reflecting contributions to high-impact journals and a consistent record of peer-reviewed work.

Research Focus

Dr. Muhammad Tayyab Khan research is centered on improving animal fertility and reproductive efficiency using advanced reproductive technologies. He specializes in sheep reproduction, including sperm biology, estrous synchronization, laparoscopic insemination, and cryopreservation techniques, with a focus on understanding and enhancing fertility outcomes in small ruminants.

Work Experience

Dr. Muhammad Tayyab Khan currently serves as an Assistant Professor in Theriogenology at the University of Veterinary & Animal Sciences, Swat, where he supervises clinical cases, trains students, and conducts applied research. He has also worked as a visiting lecturer at UVAS Lahore, teaching obstetrics and genital diseases while providing practical hands-on training in reproductive diagnostics and treatments. He contributed as a research fellow on a PARC-funded project, optimizing semen cryopreservation and artificial insemination techniques for improving reproductive potential in sheep, gaining extensive experience in field trials, project management, and dissemination of educational materials to local veterinarians and breeders.

Key Contributions

Dr. Muhammad Tayyab Khan has successfully optimized sheep semen cryopreservation using antioxidants and energy supplements, improving post-thaw sperm quality. His work established effective protocols for laparoscopic artificial insemination and identified critical factors influencing fertility outcomes, including body condition, parity, and hormonal treatments. He has published multiple peer-reviewed manuscripts and produced educational booklets to share knowledge with practitioners, significantly contributing to livestock productivity research in subtropical climates.

Awards & Recognition

Dr. Muhammad Tayyab Khan has been recognized through competitive fellowships, including selection under the Prime Minister Youth Training Scheme and the Punjab Educational Endowment Fund for his academic excellence. His achievements highlight his commitment to advancing veterinary reproductive science and promoting knowledge transfer among practitioners and breeders.

Professional Roles & Memberships

Dr. Muhammad Tayyab Khan is an active member of the veterinary academic community, collaborating with colleagues in clinical and research settings. He supervises student research projects, contributes to curriculum development, and participates in conferences, workshops, and seminars to advance the field of animal reproduction.

Profile

Google Scholar

Featured Publications

Khan, M. T., Khan, M. I. R., Ahmad, E., Yousaf, M. R., & Oneeb, M. (2023). Synergistic effect of extracellular adenosine triphosphate and quercetin on post-thaw quality and fertilization potential of Lohi ram sperm. Cryobiology, 113, 104593.

Muhammad Tayyab Khan, M. I. R. K., Akhtar, M. S., Ahmad, E., & [others]. (2024). Optimising laparoscopic artificial insemination in Lohi sheep: Effects of timing, sperm concentration and body condition on fertility outcome in subtropical climates. Reproduction in Domestic Animals, 59(9), 8.

Khan, M. T., Khan, M. I. R., Yasmin, T., Khan, G. S., & Riaz, A. (2024). Effect of ginseng on blood lipid profile, testosterone level and epididymal sperm quality of aged BALB/C mice. Pakistan Journal of Zoology, 1–7.

Khan, M. T., Ahmad, E., Husnain, A., Yousaf, M. R., Oneeb, M., & Ahmad, T. (2024). Factors influencing pregnancy rate and loss after laparoscopic artificial insemination with frozen–thawed semen in Lohi sheep under sub-tropical conditions. Reproduction in Domestic Animals, 59(5), e14579.

Akhtar, M., Ahmad, E., Naseer, Z., Akhtar, M. S., Ahmad, T., Hussain, T., & Khan, M. T. (2023). Osmotic tolerance and freezability of Beetal goat sperm during breeding and non-breeding seasons.

Impact Statement / Vision

Dr. Muhammad Tayyab Khan aims to translate cutting-edge reproductive technologies into practical solutions for improving livestock productivity and health. His vision is to enhance fertility outcomes, support sustainable animal production, and contribute to food security by bridging laboratory innovations with field applications.

Jian-Gang Tang | Computational theory | Distinguished Scientist Award

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Prof. Dr. Jian-Gang Tang | Computational theory | Distinguished Scientist Award

Yili Normal University | China

Academic Background:

Professor Jian-Gang Tang holds dual doctoral degrees, one in Computer Science from the Polish Academy of Sciences and another in Pure Mathematics from Sichuan University. He has developed deep expertise across computability, complexity, computational theories including quantum and DNA computing, algebra, and topology. His scholarly output is extensive, with citations recorded in Scopus and Google Scholar reflecting the impact of his work. According to Scopus, he has a citation count of 38, with 45 documents contributing to his academic profile, resulting in a strong h-index that highlights his influence and the sustained relevance of his research contributions.

Research Focus:

Professor Tang’s research focuses on the interface of computational theory, algebra, and category theory. His work systematically investigates internal group objects, L-set and Ω-set categories, structural enhancement based on group categories, and applications of quasi-Hopf algebras, advancing the understanding of categorical structures in mathematics and their computational implications.

Work Experience:

Professor Tang has held prominent academic positions including Vice President of Yili Normal University, where he cultivated numerous researchers and educators. Post-retirement, he continues to contribute as a professor at Sichuan University Jinjiang College and Kashgar University. His career has been characterized by mentorship and institution-building, reflecting his commitment to nurturing talent and advancing mathematical education at multiple levels.

Key Contributions:

Professor Tang’s foundational work on internal group objects established conditions for completeness and cocompleteness transfer, bridging algebra, topology, and computation. He has made significant advancements in category algebra, lattice-valued structures, and quasi-Hopf algebras. His research has created theoretical frameworks with applications in homotopical algebra and duality theory, and he has mentored a generation of scholars who continue to contribute to these fields.

Awards & Recognition:

Professor Tang is recognized as a national-level expert and has been honored with the Special Government Allowance from the State Council. His work is widely acknowledged for its scholarly rigor and influence, establishing him as a distinguished leader in mathematics and computational theory. His recognition extends through numerous citations and collaborations with international researchers.

Professional Roles & Memberships:

He serves on the editorial boards of multiple international mathematics journals and acts as a reviewer for leading publications. Professor Tang is an active member of professional mathematical societies, contributing to the academic community through collaboration, peer review, and knowledge dissemination.

Profile: 

Scopus | Orcid

Featured Publications:

Tang, J., Maihemuti, N., Peng, J., Aisan, Y., & Song, A. (2025). Completeness and cocompleteness transfer for internal group objects with geometric obstructions. Mathematics.

Tang, J., Lin, F., Aishan, Y., Liu, J., & Peng, J. (2025). Research on group type theory and its functorial semantic models in category logic. PLOS One.

Tang, J., Chen, Q. (2025). Weak Hopf algebra structures on hybrid numbers. Symmetry.

Tang, J., Maihemuti, N., Peng, J., & Aisan, Y. (2025). Controlled and assisted cloning of two-, three- and four-qubit states with optimal quantum resources. International Journal of Quantum Information.

Tang, J., Lei, H., & Liu, J. (2025). Limits in D-module categories: Completeness and derived geometric extensions. AIMS Mathematics.

Impact Statement / Vision:

Professor Tang envisions advancing the integration of algebra, topology, and computation to foster innovative mathematical frameworks. Through mentorship, research, and interdisciplinary collaboration, he aims to inspire future generations of mathematicians and expand the boundaries of theoretical and applied mathematics globally.

Sara Razzak | Nutrition | Best Research Article Award

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Dr. Sara Razzak | Nutrition | Best Research Article Award

Ibn Tofail University | Morocco

Dr. Sara Razzak, a distinguished Moroccan researcher at Ibn Tofail University, holds a Doctorate in Biology, Nutrition, and Health from the Faculty of Sciences, Kenitra, where she completed her thesis under the supervision of Prof. Youness Taboz on the phytochemical characterization and biological activities of Opuntia ficus-indica cladodes in Morocco. She earned a Specialized Master’s Degree in Human Nutrition, Food Safety, and Quality Management and a Bachelor’s Degree in Life Sciences, reflecting a strong academic foundation in nutritional and biological sciences. Dr. Razzak’s professional experience includes teaching and practical instruction in biochemistry, enzymology, microbiology, and plant biology at the Faculty of Sciences and ESEF Kenitra, where she has also supervised undergraduate and master’s theses. Her research interests encompass phytochemistry, functional foods, nutritional biochemistry, and the health-promoting effects of natural Moroccan resources, contributing to the development of sustainable nutrition and food safety innovations. She has authored six Scopus-indexed research papers, including the recent article “Antimicrobial Efficacy and Chemical Composition of Essential Oils from Moroccan Medicinal Plants Against Multidrug-Resistant Salmonella Strains” published in the World’s Veterinary Journal , a testament to her active engagement in combating microbial resistance through natural compounds. Her Google Scholar metrics show 5 citations by 5 documents, 6 publications, and an h-index of 1, reflecting her emerging academic influence. Dr. Razzak’s research skills include biochemical analysis, molecular docking, nutritional profiling, and statistical data interpretation, strengthened by professional training in ISO laboratory accreditation, molecular modeling, and cosmetic formulation. She has also served in leadership roles by organizing international congresses, hackathons, and mentoring student research. Her dedication to innovation, education, and sustainable health solutions makes her a deserving recipient of the Best Research Article Award, recognizing her excellence and growing impact in the global field of nutrition and biological sciences.

Profile: Scopus | Orcid
Featured Publications

Antonio Jesus Mendoza Fernandez | Botany | Best Researcher Award

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Assoc. Prof. Dr. Antonio Jesus Mendoza Fernandez | Botany | Best Researcher Award

University of Granada | Spain

Assoc. Prof. Dr. Antonio Jesús Mendoza-Fernández, an accomplished botanist and researcher at the University of Granada, Spain, has established a remarkable academic and scientific profile marked by excellence in plant ecology and conservation biology. He earned his Ph.D. in Botany, focusing on the conservation of endangered Mediterranean flora, integrating ecological modelling, cartographic mapping, soil-plant interaction studies, and microbiological analysis to understand the adaptive mechanisms of threatened species such as Maytenus senegalensis subsp. europaea. His professional experience spans multiple research and consultancy projects—eight academic research projects and twenty-five industry collaborations—reflecting his ability to bridge scientific inquiry with practical environmental applications. His research interests include botany, ecology, computational modelling in natural sciences, environmental sustainability, and biodiversity conservation, where he applies innovative algorithms and multidisciplinary approaches. Demonstrating exceptional research skills, Dr. Mendoza-Fernández has authored thirty-seven Web of Science–indexed publications, twenty-six national book chapters, and one monograph, while contributing to over eighty national and international conferences. His global influence is reflected in 634 citations by 432 documents across 41 publications with an h-index of 17, highlighting his consistent scholarly impact. He has served as a guest editor for leading journals such as Mediterranean Botany, Plants, and Sustainability, and as chairman for major scientific meetings including the 3rd Gypworld Meeting and CEIMAR and AEET congresses. His honors include leadership roles in  Research Group at the University of Almería and active membership in the Vegetal Conservation Area at the University of Granada, as well as his collaboration in the U.S.-funded GYP-NEXTGEN project by the National Science Foundation. In conclusion, Dr. Mendoza-Fernández’s outstanding contributions to Mediterranean plant conservation, global research collaborations, and leadership in ecological innovation make him a deserving recipient of the Best Researcher Award, recognizing his enduring impact on botanical and environmental sciences.

Profile: Scopus | Orcid

Featured Publications

  • Leveraging agrobiodiversity for sustainable transition in greenhouse-based intensive agriculture across Mediterranean drylands.

  • Elemental screening and nutritional strategies of gypsophile flora in Sicily. Plants.

  • Shipwrecked on the rock, or not quite: Gypsophytes and edaphic islands. Plants.

  • Spontaneous primary succession and vascular plant recovery in the Iberian gypsum quarries: Insights for ecological restoration in an EU priority habitat. Plants.

Nikos Loukeris | Finance | Global Teaching Excellence Award

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Assist. Prof. Dr. Nikos Loukeris | Finance | Global Teaching Excellence Award

University of West Attica | Greece

Assist. Prof. Dr. Nikos Loukeris, an eminent scholar in Finance and Computational Intelligence, holds a Ph.D. in Finance with a specialization in portfolio optimization and hybrid neural networks and currently serves as Assistant Professor of Finance at the University of West Attica, Greece. He has an extensive academic and professional background, including visiting professorships at Hellenic Open University, Athens University of Economics and Business, and supervision of internships for students at Athens-UniWA and Princeton University, reflecting his global teaching engagement. Dr. Loukeris’s research interests encompass computational finance, artificial intelligence applications in financial modeling, risk management, portfolio optimization, and hybrid neural network systems. He has demonstrated exceptional research skills in meta-heuristic techniques, machine learning integration in financial evaluation, and hybrid systems for portfolio selection, evidenced by publications in high-impact journals such as Operational Research, International Journal of Finance & Economics, and multiple IEEE-indexed conference proceedings. His significant professional experience includes founding and managing Loukeris N. Business Consultants and Lamda Engineers, leading initiatives that bridge academic knowledge and industry application. Dr. Loukeris has earned numerous awards and honors, including keynote and plenary speaker invitations at international conferences such as the IEEE European Conference on Electrical & Computer Science, the Artificial Intelligence Summit, and the International Conference on Business Economics and Finance, as well as research awards for innovative work on bankruptcy prediction and hybrid neural network models. His contributions extend beyond research, including leadership in organizing IEEE special sessions, mentoring students, and promoting global academic collaborations. In conclusion, Dr. Loukeris is highly deserving of the Global Teaching Excellence Award for his outstanding combination of education, professional experience, research excellence, and global academic leadership, demonstrating a sustained impact on finance education, AI integration, and the development of future leaders in the field, and his continued contributions are expected to advance international standards in teaching, research, and mentorship in finance and computational intelligence.

Profile: Google Scholar

Featured Publications

Loukeris, N., Donelly, D., Khuman, A., & Peng, Y. (2009). A numerical evaluation of meta-heuristic techniques in portfolio optimisation. Operational Research, 9(1), 81–103.

Loukeris, N., & Matsatsinis, N. (2006). Corporate financial evaluation and bankruptcy prediction implementing artificial intelligence methods. In Proceedings of the 10th WSEAS International Conference on Computers (pp. 938–942).

Nikolaos, L. (2009). An empirical evaluation of CAPM’s validity in the British stock exchange. International Journal of Applied Mathematics and Informatics, 3(1), 1–8.

Loukeris, N., & Eleftheriadis, I. (2015). Further higher moments in portfolio selection and a priori detection of bankruptcy under multi-layer perceptron neural networks, hybrid neuro-genetic MLPs, and hybrid neuro-genetic RBFNs. International Journal of Finance & Economics, 20(4), 341–361.

Nikolaos, L. (2008). Radial basis functions networks to hybrid neuro-genetic RBFNs in financial evaluation of corporations. In Proceedings of the 12th WSEAS International Conference on Computers (pp. 812–819).

Masoud Kargar | Artificial intelligence | Best Research Article Award

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Assist. Prof. Dr. Masoud Kargar | Artificial intelligence | Best Research Article Award

Islamic Azad University, Tabriz Branch | Iran

Assist. Prof. Dr. Masoud Kargar is an accomplished scholar and researcher from the Islamic Azad University, Tabriz Branch, Iran, specializing in Artificial Intelligence, Data Science, and Computational Optimization. He earned his Ph.D. in Computer Engineering with a concentration in Artificial Intelligence and intelligent network optimization from a leading Iranian university, where his research focused on developing novel machine learning models for real-world applications. With several years of academic and professional experience, Dr. Kargar has served as a lecturer, mentor, and research collaborator, contributing extensively to both theoretical and applied aspects of AI. His research interests include deep learning, biomedical image processing, software-defined networking, and intelligent optimization algorithms, reflected in his impactful publications such as RCPFH: Reliable Controller Placement in Software-Defined Networks Using Fuzzy Systems and a Modified Walrus Optimization Algorithm and HNMD-CNN: A Hierarchical Narrowing Multi-Deep Convolutional Neural Network for Precision Glioma Classification in 3D MRI Images, published in Simulation Modelling Practice and Theory (2025). Demonstrating strong research skills in algorithm development, data analysis, and AI-driven problem-solving, he has achieved over 91 citations, an h-index of 6, and published more than 20 articles in reputable, Scopus-indexed journals. Dr. Kargar’s professional affiliations include IEEE and ACM, underscoring his commitment to international research collaboration and academic excellence. He has been recognized for his innovative research and contribution to technological development, earning accolades for his scholarly impact. His dedication to advancing artificial intelligence and mentoring young researchers signifies his leadership in shaping the future of computational science. With his outstanding achievements, innovative research, and academic integrity, Assist. Prof. Dr. Masoud Kargar is truly deserving of the Best Research Article Award, honoring his excellence and lasting contributions to AI research and global scientific advancement.

Profile: Scopus | Orcid | Google Scholar

Featured Publications

RCPFH: Reliable controller placement in software-defined networks using fuzzy systems and a modified walrus optimization algorithm. Simulation Modelling Practice and Theory

HNMD-CNN: A hierarchical narrowing multi-deep convolutional neural network for precision glioma classification in 3D MRI images. Simulation Modelling Practice and Theory.

Yu Ni | Biology | Best Researcher Award

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Dr. Yu Ni | Biology | Best Researcher Award

Qingdao Agricultural University | China

Dr. Yu Ni is a highly accomplished professor at the College of Agronomy, Qingdao Agricultural University, China, with extensive experience in plant stress biology, molecular genetics, and biochemistry, particularly focusing on drought tolerance, cuticular wax biosynthesis, and stress adaptation mechanisms in key crops such as Arabidopsis, Brassica napus, and Sorghum bicolor. She earned her Ph.D. in Agronomy from Southwest University, Chongqing, and has since held prominent academic positions, including a professorship at Southwest University before joining Qingdao Agricultural University. Dr. Ni has an outstanding record of teaching both undergraduate courses, including Plant Physiology, Biochemistry, and Molecular Biology, and graduate courses such as Molecular Genetics, while supervising numerous student research projects. Her research skills are reflected in her leadership of multiple national and international projects, extensive collaborations with global research teams, and her proficiency in multi-omics analyses, gene expression profiling, and plant physiological assessments. She has authored over 40 high-impact publications in reputed journals including New Phytologist, Plant Biotechnology Journal, Plant, Cell & Environment, and BMC Plant Biology, with key contributions to understanding plant drought tolerance and cuticular wax regulation. Dr. Ni’s professional memberships, mentorship roles, and community involvement further demonstrate her dedication to advancing plant science and fostering the next generation of researchers. Her awards and honors, including the Best Researcher Award, recognize her sustained impact on both scientific discovery and education. Areas for future improvement include expanding publications in Q1 journals, increasing international collaborations, and engaging in more keynote presentations and editorial responsibilities. Overall, Dr. Yu Ni is exceptionally deserving of the Best Researcher Award due to her innovative contributions to plant molecular biology, her leadership in research and mentorship, and her potential to drive global advancements in plant stress biology through continued research excellence and international engagement.

Profile: Scopus

Featured Publications

Ni, Y., et al. (2025). Enhancing sweet sorghum emergence and stress resilience in saline-alkaline soils through ABA seed priming: Insights into hormonal and metabolic reprogramming. BMC Genomics.

Ni, Y., Jin, S., Wang, Y., Song, Y., Fan, S., Luo, N., Gan, Q., & Guo, Y. (2025). Dual regulation of cuticle and cell wall biosynthesis by BnaC9.MYB46 confers drought tolerance in Brassica napus. Plant Biotechnology Journal.

Luo, N., Wang, Y., Liu, Y., Wang, Y., Guo, Y., Chen, C., Gan, Q., Song, Y., Fan, Y., Jin, S., & Ni, Y. (2024). 3-ketoacyl-CoA synthase 19 contributes to the biosynthesis of seed lipids and cuticular wax in Arabidopsis and abiotic stress tolerance. Plant, Cell & Environment, 47, 4599–4614.

Nour El Houda Bensiradj | Pharmaceutical Science | Best Researcher Award

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Dr. Nour El Houda Bensiradj | Pharmaceutical Science | Best Researcher Award

University Of Science And Technology Houari Boumediene | Algeria

Dr. Nour El Houda Bensiradj, an Associate Professor at the University of Science and Technology Houari Boumediene (USTHB), Algeria, is an accomplished researcher specializing in theoretical and computational chemistry with applications in pharmaceutical sciences. She earned her Magister degree in Chemistry and a Ph.D. in Theoretical and Computational Chemistry from USTHB, both with high distinction. Over the years, Dr. Bensiradj has established a strong academic and research profile through her teaching expertise in quantum chemistry, molecular structure, and analytical chemistry. Her professional experience extends beyond teaching to leading and participating in several national and international research projects funded by PRFU and CNEPRU, with collaborations involving institutions in Spain, Jordan, and Egypt. Her research interests include density functional theory (DFT), time-dependent DFT (TDDFT), ab initio calculations, and their applications in molecular spectroscopy, organometallic chemistry, renewable energy, and drug development. Dr. Bensiradj’s research skills encompass advanced computational modeling, spectral analysis, and molecular reactivity prediction, which she effectively integrates to address complex problems in theoretical and pharmaceutical chemistry. She has published articles in reputable Scopus-indexed journals, including Computational and Theoretical Chemistry, Theoretical Chemistry Accounts, and Inorganica Chimica Acta. Additionally, she has presented her work at several international conferences, enhancing her visibility and impact in the global scientific community. Throughout her academic journey, she has supervised numerous postgraduate theses, reflecting her dedication to mentoring future researchers. Her contributions have been recognized through academic honors and invitations to collaborative research programs. In recognition of her academic excellence, innovative research, and global impact, Dr. Nour El Houda Bensiradj is rightfully honored with the Best Researcher Award for her outstanding achievements and dedication to advancing theoretical and pharmaceutical chemistry on an international scale.

Profile: Orcid

Featured Publications

Guermi, I. N. E. H., Bensiradj, N. E. H., Saal, A., Almi, M., & Nassar, M. (2024). Theoretical approach to the protonation of Anderson type polyoxometalate [XM₆O₂₄]ⁿ⁻ (X = I, Te, and Sb, M = Mo and W, and n = 5, 6, 7). Computational and Theoretical Chemistry, 1283, 114504.

Miles, F., Djellouli, F., Bensiradj, N., & Dahmani, A. (2023). Pharmaceutical cocrystal consisting of ascorbic acid with p-aminobenzoic acid and paracetamol. Physical Sciences Reviews, 8(3), Article 2021-0199.

Yousfi, H., Bensiradj, N. H., Khedidji, M., Saal, A., & Ouamerali, O. (2023). Theoretical investigation of the structure and spectroscopy of uranium oxide species. Theoretical Chemistry Accounts, 142(1), 14.

Ababneh, R., Smadi, M., Bensiradj, N. E. H., Al-Akhras, M. A., Al-Hiari, Y., Jum’h, I., Abu-Dahab, R., Al Bataineh, Q. M., & Telfah, A. (2023). UV–Vis, FTIR and DFT studies of the fluoroquinolone [pyrido pyrolo quinoxaline (PPQ)] tethered to gold nanoparticles as a novel anticancer. Journal of Inorganic and Organometallic Polymers and Materials, 33(2), 754–766.

Bensiradj, N. E. H., Ouamerali, O., & Dekhira, A. (2022). Ab initio calculations of the ground and excited states of the ZnTe molecule and its ions ZnTe⁺ and ZnTe⁻. Research Square.