Jingjing Jiang | Robotics and Automation | Best Researcher Award

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Dr. Jingjing Jiang | Robotics and Automation | Best Researcher Award

Loughborough University | United Kingdom

Dr Jingjing Jiang is a distinguished researcher in intelligent mobility and autonomous systems, currently a Senior Lecturer in Intelligent Mobility and Autonomous Vehicles at the Department of Aeronautical and Automotive Engineering, Loughborough University. She holds a BE in Electronic and Electrical Engineering an MSc in Control Engineering , and a PhD in Control Engineering (Imperial College London,  thesis: Shared Control for Systems with Constraints). After her doctoral work she served as a Research Associate in the Department of Electrical and Electronic Engineering at Imperial College London before joining Loughborough University as Lecturer in 2018 and being promoted to Senior Lecturer. Her research interest spans trustworthy control design and rigorous closed-loop performance analysis for intelligent systems and autonomous vehicles, combining classical control theory with modern data-driven models and algorithms, and emphasising both trial-based validation and top-down safety and reliability guarantees. Her work has been recognised for bridging fundamental research and real-world application in mobility systems. She continues to drive innovation in autonomous mobility and system safety, contributing to the future of reliable intelligent transport.

Profiles : Google Scholar | Orcid

Featured Publications

Cao, S., Sun, L., Jiang, J., & Zuo, Z. (2021). Reinforcement learning-based fixed-time trajectory tracking control for uncertain robotic manipulators with input saturation. IEEE Transactions on Neural Networks and Learning Systems, 34(8), 4584–4595.

Jiang, J., & Astolfi, A. (2018). Lateral control of an autonomous vehicle. IEEE Transactions on Intelligent Vehicles, 3(2), 228–237.

Fu, H., Jiang, J., Hu, S., Rao, J., & Theodossiades, S. (2023). A multi-stable ultra-low frequency energy harvester using a nonlinear pendulum and piezoelectric transduction for self-powered sensing. Mechanical Systems and Signal Processing, 189, 110034.

Jiang, J., & Astolfi, A. (2020). Stabilization of a class of underactuated nonlinear systems via underactuated back-stepping. IEEE Transactions on Automatic Control, 66(11), 5429–5435.

Hu, J., Lin, Y., Li, J., Hou, Z., Chu, L., Zhao, D., Zhou, Q., Jiang, J., & Zhang, Y. (2024). Performance analysis of AI-based energy management in electric vehicles: A case study on classic reinforcement learning. Energy Conversion and Management, 300, 117964.

Gurmeet Kaur | Chemistry and Materials Science | Best Researcher Award

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Dr. Gurmeet Kaur | Chemistry and Materials Science | Best Researcher Award

Punjabi University | India

Dr. Gurmeet Kaur is a distinguished researcher and faculty member in the Department of Chemistry at Punjabi University, Patiala, specializing in organic synthesis and heterocyclic chemistry. With an impressive research portfolio, she has authored more than 65 publications, accumulating over 541 citations and maintaining an h-index of 14, reflecting her impactful contributions to chemical sciences. Dr. Kaur obtained her doctoral degree in Organic Chemistry and has since engaged in extensive postdoctoral and academic work focused on developing environmentally benign synthetic methodologies, coordination complexes, and bioactive compounds. Her research integrates green chemistry principles and advanced analytical techniques to explore molecular design for pharmaceutical and material applications. Throughout her career, she has mentored numerous postgraduate and doctoral students while collaborating with interdisciplinary teams on national and international projects. Her scholarly excellence has been recognized through several academic awards and research grants, acknowledging her innovation and dedication to sustainable chemistry. Dr. Gurmeet Kaur continues to advance the field through her publications, conferences, and contributions to chemical education, promoting scientific curiosity and sustainable research for future generations.

Profile : Scopus

Featured Publications

Kaur, G., & Goyal, B. (2025). Ligand-based virtual screening to discover potential inhibitors of SARS-CoV-2 main protease. Physical Chemistry Chemical Physics, 27, 19877–19897.

Garg, M., Sharma, D., Kaur, G., & others. (2024). Factor defining the effects of tetraalkylammonium chloride on stability, folding, and dynamics of horse cytochrome c. International Journal of Biological Macromolecules, 276.

Kaur, M., Rehman, H. M., Wu, Y., Kaur, G., Hammad, H. M., Usmani, Y. S., Kaur, A., & Bansal, M. (2025). Comprehensive analysis and outcomes of hybridization of physiologically active heterocycles targeting epidermal growth factor receptor (EGFR). Computers in Biology and Medicine, 184, 109347.

Kaur, G. (2025). Investigating the chemistry of newly synthesized acetamide linker based purines/pyrimidine derivatives towards DNA receptor site using in silico and in vitro studies. Journal of Biomolecular Structure & Dynamics.

Garg, M., Sharma, D., Kaur, G., & others. (2024). Factor defining the effects of tetraalkylammonium chloride on stability, folding, and dynamics of horse cytochrome c. International Journal of Biological Macromolecules, 276,

 

Wei Zhang | Electrical Engineering | Best Researcher Award

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Mr. Wei Zhang | Electrical Engineering | Best Researcher Award

Suzhou vocational University | China

Dr. Wei Zhang, a dedicated educator and researcher in power electronics at Suzhou Vocational University, holds a degree in Control Theory and Control Engineering from Suzhou University. He has established himself in the field of high-frequency isolated AC/AC conversion. His current research focuses on eliminating bulky DC intermediate energy storage and implementing soft-switching control strategies to reduce device switching losses, thereby improving converter efficiency and system reliability. He has published in respected journals such as the International Journal of Electronics and engages actively with industry through power-industry consultancy projects. As a teacher, he not only advances the academic frontier but also mentors students in hands-on converter design and simulation. His work has led to validated simulation and experimental results, demonstrating both theoretical correctness and practical feasibility. Looking ahead, Dr. Zhang aims to further transform power‐electronics architectures toward more compact, efficient, and digitally controlled systems, contributing to sustainable energy conversion and smarter power infrastructure.

Profiles : Orcid

Featured Publications

Zhang, W. (2025). A new structure for a high-frequency isolated AC/AC converter. International Journal of Electronics.

Patricia Fernandes | Biology and Life Sciences | Best Researcher Award

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Prof. Dr. Patricia Fernandes | Biology and Life Sciences | Best Researcher Award

Federal University of Rio de Janeiro | Brazil

Patricia Dias Fernandes is a distinguished Full Professor at the Federal University of Rio de Janeiro, Brazil, recognized for her pioneering contributions to pharmacology and inflammation research.  she has established herself as a leading figure in experimental pharmacology. Her academic background and research career focus on preclinical models of chronic inflammatory diseases, including Crohn’s disease, endometriosis, cancer, and SARS-CoV-2-induced pneumonia. She leads several multidisciplinary projects exploring novel diagnostic markers and therapeutic agents through integrative biochemical and omics approaches. Prof. Fernandes has registered multiple patents on innovative antiviral compounds, highlighting her translational impact from laboratory to clinical relevance. As an Associate Editor of the Journal of Ethnopharmacology, she actively promotes scientific excellence and innovation in drug discovery. Her collaborations with prominent researchers worldwide, including Pierre Sirois, Fabio Boylan, and Claudio Viegas, strengthen her global scientific network. Recipient of numerous national and institutional recognitions, Prof. Fernandes continues to advance the field of pharmacology by searching for new bioactive and synthetic compounds to treat chronic inflammatory diseases, shaping the next generation of therapeutic strategies.

Profile : Orcid

Featured Publications

Franco, G. D. R. R., Gontijo, V. S., Viegas, F. P. D., Silva, M. D. F., Ortiz, C. J. C., Damásio, C. M., Silva, I. M. F., Campos, T. G., Reis, E. V. S., Clarindo, F. A., et al. (2025). Novel multifunctional cannabidiol-based analogues with in silico, in vitro, and in vivo anti-SARS-CoV-2 effect. Pharmaceuticals, 18(10), 1565.

Moraes, R. S. M., Botelho, A. B. M., Pinto, G. T. A., Rodrigues, S. C., Martins, M. T. M., Soares, D. L. A., Cruz, C. C., Pinto, A. D. A., Dias, F. R. F., Fernandes, P. D., et al. (2025). Chemistry, applications, and synthesis methods of indole derivatives: A comprehensive review. The Chemical Record. Advance online publication.

Guerra, F. S., Freitas, R. H. C. N., Moldovan, F., Rocha, D. R. D., Carvalho, R. S., & Fernandes, P. D. (2025). Design, synthesis, and bioactivity assessment of modified vemurafenib analog. Pharmaceuticals, 18(8), 1161.

de Souza, M. L., de Paiva, J. P. B., Franco, G. D. R. R., Gontijo, V. S., Alves, M. A., de Souza, H. M. R., Lontra, A. C. P., de Oliveira, E. A., Giorno, T. B. S., Guedes, I. A., et al. (2025). Design, synthesis, and evaluation of antinociceptive properties of novel CBD-based terpene-cinnamoyl-acyl-hydrazone analogues. Pharmaceuticals, 18(5), 755.

França, P. R. C., de Paiva, J. P. B., de Carvalho, R. R., Figueiredo, C. P., Sirois, P., & Fernandes, P. D. (2024). R-954, a bradykinin B1 receptor antagonist, as a potential therapy in a preclinical endometriosis model. Peptides, 171, 171294.

Neus Baena | Genetics and Genomics | Best Researcher Award

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Prof. Dr. Neus Baena | Genetics and Genomics | Best Researcher Award

Consorci Corporacio Parc Tauli | Spain

Prof. Dr Neus Baena with a strong academic foundation in genetics, anthropology, and biomedical sciences, this scholar has made remarkable contributions to the fields of human genetics, embryology, and molecular diagnostics. With a portfolio of 44 documents, 1048 citations, and an h-index of 17, their research emphasizes the genetic and neurobiological mechanisms underlying human development and disease. Educated and trained at leading Catalonian institutions such as the Universitat Autònoma de Barcelona, Universitat de Barcelona, and the Institut Universitari Dexeus, they have completed advanced coursework in biochemistry of reproduction, prenatal diagnosis, neurobiology, genetic engineering, and clinical cytogenetics. Their professional experience spans genetics, anthropology, and clinical biology, reflecting an interdisciplinary approach bridging molecular science and human evolution. Research interests include cytogenetics, genetic pathology, embryological development, and neurogenetics, with a focus on disease mechanisms and evolutionary implications. The researcher has actively participated in specialized programs led by prominent professors like Dr. J.M. Dexeus, Dr. L. Vilageliu, and Dr. R. Miró. Recognized for academic excellence and continuous professional development, they have contributed to expanding the understanding of human biology through rigorous study and laboratory innovation, embodying a commitment to advancing biomedical and anthropological sciences.

Profiles : Scopus | Orcid

Featured Publications

Blanco, J., Gabau, E., Gómez, D., Baena, N., Guitart, M., Egozcue, J., & Vidal, F. (1998). Chromosome 21 disomy in the spermatozoa of the fathers of children with trisomy 21, in a population with a high prevalence of Down syndrome: Increased incidence in cases of paternal origin. American Journal of Human Genetics, 63(4), 1067–1072.

Gómez, D., Solsona, E., Guitart, M., Baena, N., Gabau, E., Egozcue, J., & Caballín, M. R. (2000). Origin of trisomy 21 in Down syndrome cases from a Spanish population registry. Annales de Génétique, 43(1), 23–28.

De Vigan, C., Baena, N., Cariati, E., Clementi, M., & Stoll, C.; EUROSCAN Working Group. (2001). Contribution of ultrasonographic examination to the prenatal detection of chromosomal abnormalities in 19 centres across Europe. Annales de Génétique, 44(4), 209–217.

Baena, N., Guitart, M., Ferreres, J. C., Gabau, E., Corona, M., Mellado, F., Egozcue, J., & Caballín, M. R. (2001). Fetal and placenta chromosome constitution in 237 pregnancy losses. Annales de Génétique, 44(2), 83–88.

Baena, N., De Vigan, C., Cariati, E., Clementi, M., Stoll, C., Caballín, M. R., & Guitart, M.; EUROSCAN Working Group. (2003). Prenatal detection of rare chromosomal autosomal abnormalities in Europe. American Journal of Medical Genetics Part A, 118A(4), 319–327.

Muhammad Riaz | Biology and Life Sciences | Best Researcher Award

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Dr. Muhammad Riaz | Biology and Life Sciences | Best Researcher Award

Rehman Medical Institute | Pakistan

Dr. Muhammad Riaz is a distinguished microbiologist with over eleven years of progressive experience in clinical laboratory diagnostics and supervision. He earned his PhD in Microbiology from Sarhad University of Science & Information Technology, an MPhil in Medical Microbiology from the University of Peshawar, an MSc in Microbiology from the University of Karachi, and a BSc in Medical Laboratory Technology. His career has spanned roles such as Senior Laboratory Technologist, Laboratory Supervisor, and Lecturer, in which he has overseen bacterial culture, isolation, biochemical identification, antimicrobial susceptibility testing (following CLSI & EUCAST standards), molecular diagnostics (PCR), media preparation, staining, biochemical testing, and quality assurance under regulated biosafety conditions. His research has focused on antimicrobial resistance—studies include works on Salmonella Typhi, Klebsiella pneumoniae, Multidrug-Resistant Mycobacterium tuberculosis, Extensively Drug-Resistant Typhi, and Candida auris. He has participated in conferences, training workshops (e.g. ISO 15189, Infection Prevention & Control), and published multiple peer-reviewed articles; his work has accrued dozens of documents and citations in national and international journals. Dr. Riaz is also engaged in mentoring, outbreak preparedness, and diagnostic stewardship. His research interests include resistome profiling, molecular epidemiology, antimicrobial resistance surveillance, diagnostic innovation, and public health microbiology. He has received recognition for his commitment to laboratory excellence and continues to contribute to improvements in diagnostics, patient care, and infection control.

Profile : Orcid

Featured Publications

Riaz, M., Ahmad, S., Sattar, F., Li, G., Din, Z. U., Ahmad, S., Azra, A., Waheed, A., Ul Haq, I., & Phelan, J. E. (2025). Whole-genome sequencing analysis of drug-resistant Salmonella Typhi in children. Pathogens, 14(10), 967.

Din, Z. U., Ullah, F., Khan, A. S., Ahmad, S., Azra, A., Waheed, A., Muhammad, N., Ali, F., Khattak, F. A., Rani, G. F., & Riaz, M. (2025). Genomic insights into pyrazinamide and fluoroquinolone resistance in multidrug-resistant tuberculosis in Khyber Pakhtunkhwa, Pakistan.International Journal of Medical Microbiology.

Khan, M., Khattak, M. T., Gul, A., Riaz, M., & Zahra, F. T. (2024). A comparable risk of extensively drug-resistant typhoid fever in the pediatric cohort during the COVID-19 pandemic. International Journal of Health Sciences.

Riaz, M., Khan, I., Khan, S., Sattar, F., & Khan, M. I. (2023). Study on multidrug, extensive drug and pan drug resistance in septicemic infants. IPS Journal of Applied Microbiology and Biotechnology, 2(1), 12.

Riaz, M. (2017). Outcome of 12-weeks triple therapy (TT), including sofosbuvir (SOF), ribavirin and pegylated interferon-alfa in all non-cirrhotic patients with chronic hepatitis-C genotype-3 infection. Medical Forum, 28(7).

Dr. Kaivan Mohammadi | Mathematics | Best Researcher Award

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Dr. Kaivan Mohammadi | Mathematics | Best Researcher Award

University of kurdistan | Iran

Dr. Mohammad kaivan is an Associate Professor in the Department of Mathematics at the University of Kurdistan, Iran, with a PhD in Applied Mathematics (Numerical Analysis) from Iran University of Science and Technology. h-index-4, citiation-31, total Documents-7. He has developed expertise in numerical analysis, especially in sinc‐based and collocation methods, integro‐differential equations, singular boundary value problems, and singularly perturbed systems, as evidenced by his work in nonclassical sinc-collocation, double sinc methods, SE- and DE-sinc collocation, and Volterra–Fredholm integrodifferential equations (as in the list of seven articles you provided). He teaches advanced numerical methods, differential equations, and computational mathematics courses. While explicit awards are not publicly listed, his sustained contributions and multiple publications in international journals reflect recognition within his field. His research interests span numerical methods for singular, integro-differential, and boundary value problems, exponential convergence analyses, and applications in physiology and engineering. In summary, Dr. Ghasemi is a prominent researcher in sinc-collocation numerical methods, contributing theoretical advances and computational techniques valuable to applied mathematics and scientific modeling.

Profile : Scopus

Featured Publications

Mohammadi, K., Alipanah, A., & Ghasemi, M. (2022). A non-classical sinc-collocation method for the solution of singular boundary value problems arising in physiology. International Journal of Computer Mathematics, 99(8), 1941–1967.

Alipanah, A., Mohammadi, K., & Ghasemi, M. (2023). Numerical solution of third-order boundary value problems using non-classical sinc-collocation method. Computational Methods for Differential Equations, 11(3), 643–663.*

Ghasemi, M., Mohammadi, K., & Alipanah, A. (2023). Numerical solution of system of second-order integro-differential equations using nonclassical sinc collocation method. Boundary Value Problems, 38(1), 1–24.*

Mohammadi, K., & Alipanah, A. (2023). Numerical solution of the system of second-order integro-differential equations using non-classical double sinc method. Results in Applied Mathematics, 19, 100381.*

Alipanah, A., Mohammadi, K., & Shiralizadeh, M. (2023). Numerical solution of third-order singular boundary value problems with nonclassical SE-sinc-collocation and nonclassical DE-sinc-collocation. Results in Applied Mathematics, 20, 100403

Yosef Wubet | Electrical Engineering | Young Scientist Award

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Mr. Yosef Wubet | Electrical Engineering | Young Scientist Award

University of Gondar Institute of Technology | Ethiopia

Yosef Birara Wubet is a lecturer and researcher in Electrical and Computer Engineering, specializing in power systems and renewable energy. He holds a Master of Science in Power System Engineering and a Bachelor of Science in Electrical Power and Control Engineering, both from Bahir Dar University, Ethiopia. Since joining the University of Gondar as Lecturer (previously Assistant Lecturer), he has taught, supervised undergraduate projects and internships, reviewed journals, managed team projects, and contributed to practical works in both academic and industrial settings. His research interests span transient stability analysis using machine learning (notably artificial neural networks), fault classification and detection, solar power system design, smart grid technologies, modeling and design of controllers, system stability and forecasting, and modeling renewable energy integration. He has published multiple articles in peer-reviewed journals, including “Transient Stability Assessment and Enhancement of Hydropower Plant Using Artificial Neural Network” and “Design and modeling of ANN-based automatic generation control and voltage regulator for integrated hydropower plants in Ethiopia.” His honors include high academic distinctions (CGPA 3.96/4.0 in MSc, “Very great distinction”), the “Best Project of the Year 2018” at Bahir Dar Institute of Technology, and an Electrical Installation License from the Ethiopian Petroleum and Energy Authority. Yosef’s work contributes both theoretically and practically toward more stable, reliable, and renewable-energy-enabled power systems in Ethiopia and beyond.

Profile : Google Scholar

Featured Publications

Wubet, Y. B., Getahun, H. M., Alemu, Y. A., & Gela, T. T. (2025). Transient stability assessment and enhancement of hydropower plant using artificial neural network. Scientific African, Elsevier.

Wubet, Y. B., Gela, T. T., & Getahun, H. M. (2025). Design and modeling of ANN-based automatic generation control and automatic voltage regulator for two integrated hydro power plants in Ethiopia. Scientific African, Elsevier.

Muhammad Amer Qureshi | Biomedical Engineering | Best Researcher Award

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Assoc. Prof. Dr. Muhammad Amer Qureshi | Biomedical Engineering | Best Researcher Award

University of Nizwa | Oman

Associate Professor Muhammad Amer Qureshi is a distinguished mathematician. He holds a Ph.D. in Mathematics , an M.S. in Engineering Sciences , and an M.Sc. in Computational Mathematics . His academic career has spanned roles as Associate Professor at the University of Nizwa (Oman), Associate and Assistant Professor at KFUPM (Saudi Arabia), and earlier appointments at GIK Institute and the University of Auckland. His research interests lie in numerical methods for ordinary differential equations (including one-step and multistep integrators, symplectic schemes), computational fluid dynamics (especially nano-hybrid fluids and heat transfer modeling), and the application of symmetries in general relativity (Noether’s theorem, space–time symmetries). He has supervised numerous undergraduate and graduate research projects, secured multiple externally funded grants, and published extensively in ISI/Scopus journals. Among his honors are repeated recognition in the Top 2% of global scientists, an Excellence in Teaching Award, and merit-based scholarships for Ph.D. and MS studies. In sum, his multifaceted contributions to theory, computation, and pedagogy mark him as a leading researcher and educator dedicated to advancing mathematics and engineering science.

Profile : Google Scholar

Featured Publications

Qureshi, M. A., & Hussain, S., & Sadiq, M. A. (2021). Numerical simulations of MHD mixed convection of hybrid nanofluid flow in a horizontal channel with cavity: Impact on heat transfer and hydrodynamic forces. Case Studies in Thermal Engineering, 27, 101321.

Qureshi, M. A. (2022). Thermal capability and entropy optimization for Prandtl–Eyring hybrid nanofluid flow in solar aircraft implementation. Alexandria Engineering Journal, 61(7), 5295–5307.

Qureshi, M. A. (2020). Numerical simulation of heat transfer flow subject to MHD of Williamson nanofluid with thermal radiation. Symmetry, 13(1), 10.

Qureshi, M. A. (2021). A case study of MHD driven Prandtl–Eyring hybrid nanofluid flow over a stretching sheet with thermal jump conditions. Case Studies in Thermal Engineering, 28, 101581.

Shahzad, F., Jamshed, W., Ibrahim, R. W., Nisar, K. S., & Qureshi, M. A., et al. (2021). Comparative numerical study of thermal features analysis between Oldroyd-B copper and molybdenum disulfide nanoparticles in engine-oil-based nanofluids flow. Coatings, 11(10), 1196.

Tesfamichael Derso | Social Sciences | Young Researcher Award

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Mr. Tesfamichael Derso | Social Sciences | Young Researcher Award

Bahir Dar University | Ethiopia

Mr. Tesfamichael Derso is a historian and researcher specializing in Ethiopian history, heritage management, and social integration, with more than nine years of experience in teaching, research, and community service. He holds a MA in History from the University of Gondar and a BA in History and Heritage Management from Wolita Sodo University. Since he has taught history at the secondary level, and since he has served as a university lecturer at Bahir Dar University, where he delivers lectures, designs and grades assessments, leads review sessions, supervises student learning, and carries out scholarly research. His publications include four articles in peer-reviewed and Scopus-indexed journals on topics such as ethnic interaction, Iddir institutions, forestry history, infrastructure development, and the impact of the Fascist Italian occupation in Gondar. His research interests include interethnic relations, heritage and indigenous institutions, environmental history, colonial and wartime impacts, and local community identity. He has also participated in seminars and training in research ethics, conservation, leadership, and manuscript restoration. Among his recognitions is the Young African Fellowships Award from CODESRIA and the Mastercard Foundation.

Profile : Orcid

Featured Publications

Derso, T. F. (2025). Fascist Italian occupation and its impact on Ethiopia: The case of Gondar, 1936 to 1941. National Identities, 24(4), 1–24.

Derso, T. F. (2024). Ethnic interaction and integration in Gondär (Ethiopia): The case of the Amhara and Tigre, 1930–1970s. Cogent Arts & Humanities, 11(1), 2330177.

Derso, T. F. (2024). Forest and forestry in Gondar (Ethiopia) from 1938 to 1991: Utilization, opportunities, and constraints. Israel Journal of Ecology and Evolution, 1–10.

Fentie, T. (2023). Iddir in Gondar: Historical development and its role in promoting social interaction among different ‘ethno-linguistic’ groups (1936–1994). Ethiopian Journal of Social Sciences, 9(1), 45–63.

Fentie, T. (2023). An assessment of road and bridge construction in Simen and Begemider province, 1963–1991. Ethiopian Journal of Social Sciences, 9(2), 75–90.