Demmelash Mollalign Moges | Mathematics | Editorial Board Member

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Dr. Demmelash Mollalign Moges | Mathematics | Editorial Board Member

Dr. Demmelash Mollalign Moges | Hawassa University | Ethiopia

Dr. Demmelash Mollalign Moges is a dedicated researcher in the field of optimization, with extensive contributions to intuitionistic fuzzy systems, multi-objective decision models, and fractional programming. His work focuses on developing advanced mathematical frameworks that address complex real-world optimization challenges, particularly those involving uncertainty, multi-level decision structures, and competing objectives. He has produced influential research on intuitionistic fuzzy multi-objective linear fractional optimization, proposing new methods that have been successfully applied to agricultural land allocation and transportation systems. His studies extend to multi-objective multilevel programming, where he has introduced two-phase intuitionistic fuzzy goal programming approaches capable of handling hierarchical decision environments. Dr. Moges has also advanced the application of neutrosophic parameters within multilevel multi-objective fractional optimization, offering efficient algorithms that improve model robustness under indeterminate conditions. His contributions include compensatory intuitionistic fuzzy mathematical techniques for solving decentralized bi-level decision-making problems, broadening the applicability of fuzzy-based optimization in distributed systems. Beyond theoretical developments, he has collaborated on interdisciplinary research, including the design of an optimized YOLO NAS-based framework for real-time object detection, demonstrating his versatility and ability to apply analytical principles to modern computational challenges. His published works in leading journals such as Information Sciences, Journal of Computational Science, and Expert Systems with Applications highlight his consistent engagement with high-impact research that enhances the understanding and applicability of fuzzy optimization, multi-objective fractional models, and advanced decision-making methodologies. Through his continuous efforts, Dr. Moges contributes to shaping the evolving landscape of optimization theory and its practical implementation across diverse problem domains.

Profile: Scopus | ORCID | Google Scholar

Featured Publications

Moges, D. M., Mushi, A. R., & Wordofa, B. G. (2023). A new method for intuitionistic fuzzy multi-objective linear fractional optimization problem and its application in agricultural land allocation problem. Information Sciences, 625, 457–475.

Mollalign, D., Mushi, A., & Guta, B. (2022). Solving multi-objective multilevel programming problems using two-phase intuitionistic fuzzy goal programming method. Journal of Computational Science, 63, 101786.

Moges, D. M., & Wordofa, B. G. (2024). An efficient algorithm for solving multilevel multi-objective linear fractional optimization problem with neutrosophic parameters. Expert Systems with Applications, 257, 125122.

Moges, D. M., Wordofa, B. G., & Mushi, A. R. (2023). Solving multi-objective linear fractional decentralized bi-level decision-making problems through compensatory intuitionistic fuzzy mathematical method. Journal of Computational Science, 71, 102075.

Gupta, C., Gill, N. S., Gulia, P., Kumar, A., Karamti, H., & Moges, D. M. (2025). An optimized YOLO NAS based framework for realtime object detection. Scientific Reports, 15(1), 32903.

Fikadu Tasgera Tolasa | Mathematics | Best Researcher Award

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Mr. Fikadu Tasgera Tolasa | Mathematics | Best Researcher Award

Lecturer and Assistant professor at Wollaga University, 

Fikadu Tasgera Tolesa is a dedicated academic and researcher with a robust background in mathematics and computational science. With years of teaching and research experience, he has made significant contributions to mathematical modeling, topological indices, and the study of complex networks. His commitment to advancing knowledge is reflected in his extensive publication record and active involvement in the academic community. Fikadu’s expertise spans applied mathematics, data analysis, and decision-making models, making him a prominent figure in his field.

Profile

ORCID

🎓 Education

Fikadu Tasgera holds a Bachelor of Science (BSc) degree from Gondar University, Ethiopia, earned between August 2012 and July 2015. He further pursued a Master of Science (MSc) degree at Debre Markos University, Ethiopia, from November 2015 to June 2017. His academic journey culminated with a Doctor of Philosophy (PhD) degree from Wallaga University, Ethiopia, which he is expected to complete by November 2024​.

💼 Experience

Fikadu has a rich professional background in academia, holding multiple roles at Dambi Dollo University. His journey began as a Lecturer and Assistant Professor from February 2017, where he taught and advised both undergraduate and postgraduate students. Between October 2019 and April 2022, he served as the Head of the Department of Mathematics, where he led the department’s academic and administrative functions. From April 2022 to February 2023, he worked as the Education Quality Assurance Coordinator, ensuring the university’s academic standards. Since February 2023, he has resumed his role as the Head of the Department of Mathematics​.

🔍 Research Interests

Fikadu’s research focuses on applied mathematics, mathematical modeling, topological indices, decision-making models, and data analysis. He explores areas such as the mathematical modeling of diseases, graph theory, and the application of machine learning algorithms in computational science. His work often involves using statistical models and optimization techniques to solve real-world problems​.

🏅 Awards

Fikadu has earned several recognitions and certifications throughout his career. He holds a Higher Diploma Program Certificate, an Induction Training Certificate, and an English Language Improvement Certificate from Dambi Dollo University. These certifications highlight his continuous efforts to enhance his professional qualifications and teaching competencies​

📄 Selected Publications

Fikadu Tasgera has authored numerous papers in high-impact journals. Here are seven notable publications:

  1. Distance and Degree-Based Topological Characterization, Spectral and Energetic Properties, and 13C NMR Signals of Holey Nanographene

    • Journal: Q1 Journal, 2025
    • DOI​

  2. Mathematical Modeling and Estimation of Physicochemical Characteristics of Pneumonia Treatment Drugs Through a Novel Approach K-Banhatti Topological Descriptors

    • Journal: Frontiers in Chemistry, 2025
    • DOI​

  3. Complex Diophantine Interval-Valued Pythagorean Normal Set for Decision-Making Processes

    • Journal: Scientific Reports, 2025
    • DOI​

  4. Valency-Based Novel Quantitative Structure Property Relationship (QSPR) Approach for Predicting Physical Properties of Polycyclic Chemical Compounds

    • Journal: Scientific Reports, 2024
    • DOI​

  5. On Characterization of Entropy Measure Using Logarithmic Regression Model for Copper(II) Fluoride

    • Journal: PLOS ONE, 2024
    • DOI​

  6. QSPR/QSAR Study of Antiviral Drugs Modeled as Multigraphs by Using TI’s and MLR Method to Treat COVID-19 Disease

    • Journal: Scientific Reports, 2024
    • DOI​

  7. Reverse Degree-Based Topological Indices Study of Molecular Structure in Triangular γ-Graphyne and Triangular γ-Graphyne Chain

    • Journal: Frontiers in Physics, 2024
    • DOI​

✅ Conclusion

Fikadu Tasgera Tolesa’s extensive research output, high-impact publications, technical proficiency, and leadership roles make him an exemplary candidate for the Best Researcher Award. His innovative contributions to mathematical modeling, decision-making processes, and topological indices reflect a strong commitment to advancing scientific knowledge. Furthermore, his academic leadership and community involvement demonstrate a well-rounded and impactful research career, making him a deserving nominee for this prestigious recognition.