Jafar Fathali | Operations Research | Best Researcher Award

Prof.Jafar Fathali | Operations Research | Best Researcher Award

University Professor at Shahrood University of Technology, Iran 

Professor Jafar Fathali 🎓 is a renowned academic in Operations Research and Applied Mathematics, currently serving as a Professor at the Faculty of Mathematical Sciences, Shahrood University of Technology, Iran 🇮🇷. With decades of contribution to location theory, heuristic optimization, and scheduling problems , he has become a distinguished figure in computational mathematics. A prolific researcher, Prof. Fathali has authored over 50+ peer-reviewed journal articles  in internationally recognized platforms such as EJOR, Soft Computing, and Computers & Industrial Engineering. He is actively involved in scholarly communities including the Iranian Mathematical Society and the Iranian Operations Research Society . Beyond research, he contributes as a referee for leading journals, mentoring students and advancing mathematical modeling in real-world applications. His academic journey is defined by innovation, persistence, and leadership , making him a vital contributor to the global research ecosystem .

🔹Professional Profile

SCOPUS

ORCID

📘 Education & Experience

Prof. Jafar Fathali holds a BSc in Applied Mathematics from Ferdowsi University of Mashhad , an MSc from Amirkabir University of Technology , and earned his Ph.D. in Applied Mathematics from Ferdowsi University in 2005 . With a solid foundation in mathematical theories, he began teaching at Shahrood University of Technology, where he advanced to a full professorship . Over the years, he has taught a wide array of undergraduate and graduate courses, including Operations Research, Advanced Linear & Nonlinear Programming, Combinatorial Optimization, and Numerical Analysis . His expertise spans both theoretical frameworks and practical applications, equipping students with problem-solving and analytical skills 🔍. With his academic and mentoring experience, Prof. Fathali has played a key role in shaping Iran’s next generation of mathematicians and operations research .

🚀 Professional Development

Professor Fathali has shown remarkable growth in academia through innovative research, interdisciplinary collaborations, and active journal reviewing . He has reviewed articles for top-tier journals such as European Journal of Operational Research, Transportation Research Part E, Soft Computing, and Optimization Methods and Software . He is a member of the Iranian Mathematical Society, Iranian Operations Research Society, and Iranian Statistics Society , reflecting his deep involvement in the academic community. His ability to integrate fuzzy logic, graph theory, and metaheuristic algorithms into practical models has enhanced decision-making strategies across industries . Prof. Fathali has also co-developed numerous hybrid algorithms involving genetic algorithms, ant colony optimization, and variable neighborhood search for solving complex problems . His active mentorship, editorial contributions, and research collaborations are key indicators of a career deeply committed to academic excellence, growth, and innovation .

🔬 Research Focus

Professor Jafar Fathali’s research is firmly rooted in Operations Research, with an emphasis on location theory , combinatorial optimization, and scheduling problems . He specializes in designing algorithms for complex decision-making models such as the p-median, p-center, and core location problems across graphs and trees . His methods employ heuristic techniques, metaheuristics (e.g., genetic algorithms , particle swarm optimization , and fuzzy logic  to model real-world uncertainties in logistics, network design, and resource allocation. Prof. Fathali has also explored inverse and semi-obnoxious location problems, expanding the scope of location models to account for service inefficiencies and backup facilities . His works address both theoretical and applied aspects, blending mathematical rigor with practical implementation . With continuous innovations in modeling and optimization, his contributions have significantly advanced the field of applied mathematics and operations research .

🏆 Awards & Honors

While specific awards and honors for Professor Jafar Fathali are not individually listed, his academic reputation is underscored by the impact and volume of his scholarly work . Having published in high-impact journals like European Journal of Operational Research and Soft Computing, his research has earned wide recognition and citation 🏆. Being a referee for over a dozen international journals and collaborating with well-known scholars such as R.E. Burkard, indicates peer acknowledgment and respect . His sustained publication record, editorial engagements, and frequent invitations to review complex mathematical models highlight his research excellence and international credibility . His contributions have helped define solutions for complex logistics and scheduling challenges, securing his place among Iran’s most influential operations research . With ongoing recognition from both academic institutions and scholarly circles, Prof. Fathali continues to be a role model for aspiring mathematicians and OR specialists globally .

🔹Publication of Top Notes

1.Convexity and sensitivity analysis of the median line location problem

Authors: Mehdi Golpayegani, Jafar Fathali
Year: 2025
Journal: International Journal of Systems Science: Operations & Logistics
DOI: 10.1080/23302674.2025.2529967

2.Greedy algorithms for the inverse center line location problem

Authors: Mehdi Golpayegani, Jafar Fathali
Year: 2025
Journal: Expert Systems with Applications
DOI: 10.1016/j.eswa.2025.129064

3.Fuzzy balanced allocation problem with efficiency on facilities

Authors: Azam Azodi, Jafar Fathali, Mojtaba Ghiyasi, Tahereh Sayar
Year: 2023
Journal: Soft Computing
DOI: 10.1007/s00500-022-07695-4

4.The balanced 2-median and 2-maxian problems on a tree

Authors: Jafar Fathali, Mehdi Zaferanieh
Year: 2023
Journal: Journal of Combinatorial Optimization
DOI: 10.1007/s10878-023-00997-9

5.Finding the absolute and vertex center of a fuzzy tree

Authors: Fatemeh Taleshian, Jafar Fathali, Nemat Allah Taghi-Nezhad
Year: 2022
Journal: Transportation Letters
DOI: 10.1080/19427867.2021.1909797

6.The minimum information approach to the uncapacitated p-median facility location problem

Authors: Mehdi Zaferanieh, Maryam Abareshi, Jafar Fathali
Year: 2022
Journal: Transportation Letters
DOI: 10.1080/19427867.2020.1864595

7.Fuzzy Balanced Allocation Problem with Efficiency on Servers

Authors: Azam Azodi, Jafar Fathali, Mojtaba Ghiyasi, Tahereh Sayar
Year: 2021
Type: Preprint
DOI: 10.21203/rs.3.rs-444116/v1

8.Inverse and reverse balanced facility location problems with variable edge lengths on trees

Authors: Shahede Omidi, Jafar Fathali, Morteza Nazari
Year: 2020
Journal: OPSEARCH
DOI: 10.1007/s12597-019-00428-6

9.Finding an optimal core on a tree network with M/G/c/c state-dependent queues

Authors: Mehrdad Moshtagh, Jafar Fathali, James MacGregor Smith, Nezam Mahdavi-Amiri
Year: 2019
Journal: Mathematical Methods of Operations Research
DOI: 10.1007/s00186-018-0651-3

10.The Stochastic Queue Core problem, evacuation networks, and state-dependent queues

Authors: Mehrdad Moshtagh, Jafar Fathali, J. MacGregor Smith
Year: 2018
 Journal: European Journal of Operational Research
 DOI: 10.1016/j.ejor.2018.02.026

🏁Conclusion

Professor Fathali’s research stands out due to its mathematical rigor, practical relevance, and algorithmic innovation. His work significantly advances the optimization and decision sciences field, contributing both theoretical frameworks and practical solutions. These qualities, combined with his sustained academic output, collaborative spirit, and international impact, make him an ideal candidate for the Best Researcher Award.

Dr Muhammad Bilal | Applied Mathematics | Best Researcher Award

Dr Muhammad Bilal | Applied Mathematics | Best Researcher Award

Researcher , Shanghai University , China

Dr. Muhammad Bilal 🎓 is a dynamic researcher in applied mathematics with a passion for solving real-world problems through advanced mathematical frameworks 🧠.  authored over 60 peer-reviewed articles 📚 in high-impact journals. Currently associated with Shanghai University 🇨🇳, Dr. Bilal is dedicated to fostering global collaboration 🌍 and mentoring future mathematicians. His core interest lies in partial differential equations, with a vision to enhance scientific innovation for societal well-being 🔬💡. Known for his interdisciplinary approach, he strives to make mathematics more applicable, accessible, and impactful in today’s rapidly evolving world 🌐.

Professional Profile

GOOGLE SCHOLAR

Education and Experience 

Dr. Bilal’s educational journey began in applied mathematics 🧮, earning his Ph.D. from Zhengzhou University, China (2019–2023) 🎓🇨🇳. His doctoral research focused on complex differential equations and real-world problem modeling. He continues his academic pursuit at Shanghai University as a postdoctoral researcher (2024–present) 📘. Dr. Bilal has more than 5 years of experience in mathematical research, teaching, and academic publishing ✍️. With active roles in the global research community, he brings a rich blend of theory, practice, and innovation to every project, backed by international collaboration and mentorship 🌏🤝.

Professional Development 

Dr. Muhammad Bilal is deeply committed to academic excellence and global research outreach 🌍. He has published 60+ high-impact articles in international journals 📖, contributed to interdisciplinary applications, and developed innovative solutions using PDEs and mathematical modeling 🧠💡. He is actively engaging in research dissemination through platforms like ResearchGate and Google Scholar 🔗, with a growing citation impact. Dr. Bilal aims to influence policymaking through data-driven research and to secure long-term funding for sustainable mathematical development 💼💰. His ongoing mentorship and project involvement help nurture emerging scholars in applied and computational mathematics 🎯👨‍🏫.

Research Focus

Dr. Bilal’s research is centered on Applied Mathematics, particularly Partial Differential Equations (PDEs), their analytical properties, and real-world applications 🧪🧩. His work intersects fields such as fluid dynamics, mathematical biology, and engineering processes 🌊🔬. He focuses on developing analytical and numerical methods that help address pressing global challenges through precise modeling 🧠💻. His category of research falls under “Best Researcher in Applied and Computational Mathematics” 🏅. His contributions have not only enhanced theoretical knowledge but also enriched interdisciplinary scientific collaboration and solution-driven problem solving across academia and industry 🤝📈.

Awards and Honors 

While specific awards were not detailed in the available information, Dr. Bilal’s significant scholarly output 📚—including 60+ published papers—and his roles in prestigious institutions reflect a high level of recognition 🌟. His research contributions are highly cited and well-regarded in the global mathematics community 🌐. Dr. Bilal is also a recipient of academic support from top Chinese institutions 🇨🇳. His inclusion in international collaborations and ongoing projects showcases his value as a top-tier researcher 🏆. It is anticipated that he will be a strong contender for future Best Researcher, Young Scientist, or Excellence in Mathematics Awards 🥇🎖️.

Publication Top Notes

1. Dispersive of propagation wave solutions to unidirectional shallow water wave Dullin–Gottwald–Holm system and modulation instability analysis

Citation: 130 (2021)
Journal: Mathematical Methods in the Applied Sciences, 44(5), 4094–4104
Authors: M. Bilal, A.R. Seadawy, M. Younis, S.T.R. Rizvi, H. Zahed
Summary: This work investigates the dispersive wave characteristics in shallow water modeled by the DGH system. The authors derive analytical solutions and perform modulation instability analysis, providing insight into fluid dynamics applications and enhancing the understanding of nonlinear wave behaviors in geophysical flows.

2. Analytical wave structures in plasma physics modeled by Gilson-Pickering equation by two integration norms

Citation: 125 (2021)
Journal: Results in Physics, 23, 103959
Authors: M. Bilal, A.R. Seadawy, M. Younis, S.T.R. Rizvi, K. El-Rashidy, S.F. Mahmoud
Summary: The study applies analytical methods to solve the Gilson-Pickering equation, relevant in plasma physics. Using two integration approaches, the authors present various types of wave solutions, supporting future research in laser-plasma interactions.

3. Modulation instability analysis, optical and other solutions to the modified nonlinear Schrödinger equation

Citation: 109 (2020)
Journal: Communications in Theoretical Physics, 72(6), 065001
Authors: M. Younis, T.A. Sulaiman, M. Bilal, S.U. Rehman, U. Younas
Summary: The paper offers modulation instability analysis and diverse optical solutions for the MNLS equation, which is crucial in nonlinear fiber optics. The study aids in the prediction of rogue waves and optical soliton behavior.

4. Optical bright–dark and Gaussian soliton with third-order dispersion

Citation: 96 (2017)
Journal: Optik, 134, 233–238
Authors: M. Younis, U. Younas, S. ur Rehman, M. Bilal, A. Waheed
Summary: This early work discusses soliton behavior with third-order dispersion in optical media, particularly bright–dark and Gaussian solitons. These findings are essential for optical communication system modeling.

5. New exact traveling wave solutions to the (2+1)-dimensional Chiral nonlinear Schrödinger equation

Citation: 72 (2021)
Journal: Mathematical Modelling of Natural Phenomena, 16, 38
Authors: H. Rezazadeh, M. Younis, M. Eslami, M. Bilal, U. Younas
Summary: The paper introduces new exact solutions for the chiral NLSE, applicable in fluid dynamics and condensed matter physics. It expands analytical methods available for modeling complex nonlinear systems.

6. The analysis of exact solitons solutions in monomode optical fibers to the generalized nonlinear Schrödinger system

Citation: 64 (2023)
Journal: Int. J. Math. Comput. Eng., 1(2), 149–170
Authors: M. Bilal, H. Haris, A. Waheed, M. Faheem
Summary: Focusing on solitons in monomode fibers, this research provides exact solutions for GNLS systems and proposes analytical methods for signal integrity in optical communications.

7. Different wave structures to the Chen–Lee–Liu equation of monomode fibers and its modulation instability analysis

Citation: 56 (2021)
Journal: The European Physical Journal Plus, 136(4), 385
Authors: M. Bilal, W. Hu, J. Ren
Summary: Investigating the Chen–Lee–Liu equation, the authors present soliton and periodic wave solutions with instability analysis, useful for understanding energy transfer in nonlinear optics.

8. New exact solitary wave solutions for the 3D-FWBBM model in arising shallow water waves

Citation: 54 (2021)
Journal: Results in Physics, 25, 104230
Authors: M. Bilal, J. Ahmad
Summary: Using two analytical techniques, this paper solves the 3D-FWBBM model, relevant in modeling shallow water wave dynamics. It adds to predictive modeling in geophysical fluid flows.

9. Lump solutions and stability analysis of dimensional Pavlov equation

Citation: 53 (2022)
Journal: Modern Physics Letters B, 36(14), 2250084
Authors: U. Younas, J. Ren, T.A. Sulaiman, M. Bilal, A. Yusuf
Summary: The paper offers lump, breather, and two-wave solutions with stability for the Pavlov equation, advancing understanding of integrable models in physics.

10. Propagation of pure-cubic optical solitons without chromatic dispersion

Citation: 52 (2021)
Journal: Optical and Quantum Electronics, 53, 1–25
Authors: U. Younas, M. Bilal, J. Ren
Summary: The work focuses on optical solitons governed by pure-cubic nonlinearity, aiding efficient modeling of fiber-optic networks.

11. Soliton solutions for NLSE with computational techniques

Citation: 48 (2021)
Journal: Optical and Quantum Electronics, 53, 1–19
Authors: M. Bilal, J. Ren, U. Younas
Summary: This study proposes computational approaches to find soliton solutions in nonlinear Schrödinger models, significant in photonics research.

12. Investigation of optical solitons in birefringent fibers with four-wave mixing

Citation: 46 (2020)
Journal: International Journal of Modern Physics B, 34(11), 2050113
Authors: M. Younis, M. Bilal, S. ur Rehman, U. Younas, S.T.R. Rizvi
Summary: The authors examine solitons in birefringent fibers with nonlinear effects like four-wave mixing, essential in ultrafast fiber optics.

13. Study of solitary waves in time conformable Schrödinger system

Citation: 45 (2022)
Journal: Optical and Quantum Electronics, 54(4), 228
Authors: S.U. Rehman, M. Bilal, J. Ahmad
Summary: The paper analyzes conformable derivatives in Schrödinger systems and their impact on wave propagation in nonlinear environments.

Conclusion

Dr. Muhammad Bilal is highly suitable for the Best Researcher Award given his impactful publication record, clarity of research vision, and dedication to solving complex societal problems through mathematics. His sustained excellence, innovative mindset, and growing citation footprint mark him as a research leader in the making, deserving formal recognition at an international level. 🥇🌐