Md Rasel Ahmed | Applied Mathematics | Best Researcher Award

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Mr. Md Rasel Ahmed | Applied Mathematics | Best Researcher Award

Uttara University | Bangladesh

Mr. Md Rasel Ahmed is an emerging researcher in applied mathematics with a growing academic footprint in numerical simulation, mathematical modeling, and differential equation–based analysis. His primary research focuses on multilane traffic flow modeling, where he has contributed a Q2 Elsevier-indexed journal article on exponential velocity–density–based macroscopic traffic models, demonstrating strong analytical and computational expertise. He has also expanded his work into epidemiological modeling, with an accepted publication that investigates the spread of COVID-19 in Bangladesh using the classical SIR model. His research experience includes developing algorithms for transportation problems and conducting advanced numerical simulations for real-world systems. He actively presents his work at international conferences and mathematical workshops, showcasing his commitment to academic dissemination and interdisciplinary modeling. Professionally, he contributes to academia as a university mathematics lecturer and maintains strong engagement in academic communities through presentations, leadership roles, and volunteer activities. Overall, he represents a promising early-career researcher with clear potential for impactful contributions in applied mathematics and computational modeling.

Profile: Orcid

Featured Publications

Ahmed, M. R., Joydhar, B., Andallah, M. L. S., Biswas, P., & Ferdous, J. (2025). Numerical simulation of multilane traffic flow model based on exponential velocity-density function. Partial Differential Equations in Applied Mathematics, 4, 101323.

Yong Xie | Dynamical systems | Best Researcher Award

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Prof. Yong Xie | Dynamical systems | Best Researcher Award

Prof. Yong Xie , Xi’an Jiaotong University, China

Prof. Yong Xie is a distinguished professor at Xi’an Jiaotong University, specializing in nonlinear oscillations and neurodynamics 🧠. He earned his B.S., M.S., and Ph.D. in Engineering Mechanics and Vibration from the same university 🎓. His research explores structural vibration modes and neuronal network dynamics with topological variations. Prof. Xie completed a postdoctoral fellowship at the University of Tokyo 🇯🇵 and has over 18 years of academic experience. He received the Excellent Doctoral Thesis Award (2004) and First Prize in Science & Technology from Shaanxi University (2017) 🏅. He remains dedicated to advancing interdisciplinary research in aerospace and neuroscience

Publication Profile

Scopus

💼 Professional Experience

Prof. Yong Xie has accumulated a wealth of academic and research experience over the past two decades 🧑‍🏫. Since 2006, he has served as an Associate Professor at the School of Aerospace Engineering, Xi’an Jiaotong University, China 🇨🇳. From 2006 to 2008, he was a Postdoctoral Researcher at the Laboratories for Mathematics, Lifesciences, and Informatics, University of Tokyo, Japan 🇯🇵, where he deepened his interdisciplinary expertise 🔬. Earlier in his career, from 2004 to 2005, he held the position of Lecturer at the MOE Key Laboratory for Strength and Vibration, contributing to foundational research in mechanical structures

🎓 Educational Background

Prof. Yong Xie has pursued his entire academic journey at Xi’an Jiaotong University 🇨🇳, building a strong foundation in engineering mechanics and vibration dynamics. He earned his Ph.D. (2000–2004) from the State Key Laboratory for Strength and Vibration of Mechanical Structures, School of Aerospace ✈️. Prior to that, he completed his M.S. (1997–2000) in the same prestigious laboratory 🛠️. His academic path began with a B.S. (1993–1997) from the Department of Engineering Mechanics, where he developed the core expertise that continues to drive his research in nonlinear systems and structural dynamics

🔬 Research Interests

Prof. Yong Xie’s research is centered on nonlinear oscillations and neurodynamics, blending principles of mechanics and neuroscience 🧠⚙️. His work delves into structural vibration modes, exploring how complex physical systems behave under oscillatory motion 🌐. A key focus lies in understanding the mechanisms behind neuronal firing patterns and how these contribute to signal transmission and processing in the brain 🔁. He also investigates the dynamic behavior of neuronal networks with diverse topological structures, aiming to uncover patterns and responses in interconnected neural systems 🧩. His interdisciplinary research bridges aerospace engineering and computational neuroscience effectively

🏆 Honors and Awards

Prof. Yong Xie has been recognized for his exceptional academic and research contributions 🎖️. In 2004, he received the Excellent Doctorate Thesis Award from Xi’an Jiaotong University, a prestigious recognition of his scholarly excellence during his Ph.D. studies 📘🎓. Further cementing his impact in the scientific community, he was honored with the First Prize in the Science and Technology Award by Shaanxi University in 2017 🥇🔬. These accolades reflect his consistent pursuit of innovation and his contributions to both the academic and technological advancement of engineering and neurodynamics in China

🧪 Research Focus

Prof. Yong Xie’s research lies at the intersection of computational physics, neurodynamics, and thermal engineering 🧠🌡️. He specializes in nonlinear systems, focusing on neuronal network modeling, chimera states, and synchronization behavior 🔁. Additionally, his work extends to thermal conductivity modeling in multi-phase and hybrid composite materials, using advanced homogenization techniques 🔬⚙️. His interdisciplinary studies bridge engineering mechanics, material science, and complex systems theory 🧩. These efforts contribute to innovations in aerospace, neuroscience, and applied physics, reflecting a research focus in nonlinear dynamics, materials engineering, and computational modeling

Publication Top Notes

📄 Unified homogenization model for accurate prediction of effective thermal conductivity in multi-phase particle-reinforced composites – Materials Today Communications, 2025 | 📚 Cited by: 0 📅
🧠 Power spectrum based early warning signal of neuronal firing – Wuli Xuebao Acta Physica Sinica, 2025 | 📚 Cited by: 0 📅
🌀 A review on methods for localization of hidden attractors – Journal name not listed, Year not listed | 📚 Cited by: 0 📅
🔥 Modeling of the effective thermal conductivity of multi-phase particle and core-shell hybrid composites by homogenization method – Int. Comm. in Heat and Mass Transfer, 2024 | 📚 Cited by: 1 📅
🧬 Alternating chimera states and synchronization in multilayer neuronal networks with ephaptic intralayer coupling – Cognitive Neurodynamics, 2024 | 📚 Cited by: 0 📅

Muhammad Bilal | Mathematical Physics | Best Researcher Award

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Dr. Muhammad Bilal | Mathematical Physics | Best Researcher Award

Dr. Muhammad Bilal, Shanghai University, China

Dr. Muhammad Bilal (b. 1988) is a dedicated researcher in Applied Mathematics, with a Ph.D. from Zhengzhou University, China 🇨🇳, specializing in soliton solutions for nonlinear dynamical models. His passion lies in advancing partial differential equations to solve real-world challenges 🌍. With over 60 peer-reviewed publications 📚, Dr. Bilal is committed to global knowledge dissemination, interdisciplinary innovation, and mathematical mentorship 🧠. He holds multiple degrees from Pakistan 🇵🇰, including M.Phil. and M.Sc. in Mathematics. Actively collaborating internationally, he aims to influence policy and promote the societal impact of mathematics.

Publication Profile

Google Scholar

Educational Background

Dr. Muhammad Bilal holds a Ph.D. in Applied Mathematics 🎓 from Zhengzhou University, China 🇨🇳 (2019–2023), where he explored exact soliton solutions for nonlinear dynamical models under Prof. Dr. Jingli Ren. He earned his M.Phil. in Mathematics 📐 from Minhaj University Lahore (2015–2017), focusing on differential equations in optical fibers. Earlier, he completed an M.Sc. and B.Sc. in Mathematics 📊, and a B.Ed. in professional education, all from the University of the Punjab 🇵🇰. His academic journey began with F.Sc. in Pre-Engineering and Matriculation 🧮 from B.I.S.E. Gujranwala, showcasing his strong foundation in science and mathematics.

🔍 Research Focus

Dr. Muhammad Bilal’s research is deeply rooted in Applied Mathematics 🧮, particularly the study of nonlinear partial differential equations (PDEs) and soliton theory 🌊. His work explores optical solitons, modulation instability, and analytical wave structures in nonlinear optical fibers, plasma physics, and ferromagnetic materials 🔬. With applications in nonlinear optics, fiber communication, and quantum electronics ⚡, he employs advanced analytical and computational methods to model and solve complex dynamical systems. His highly cited publications reflect interdisciplinary impact across physics, engineering, and mathematical modeling 📈, highlighting his contribution to theoretical innovation and applied science.

🏆 Conclusion

Dr. Muhammad Bilal is highly suitable for the Research for Best Researcher Award. His profile embodies the values of scholarly excellence, global relevance, and real-world impact—core pillars of this prestigious recognition.

Publication Top Notes

📘 Dispersive wave solutions to DGH system and MI analysis, 130 citations 📊, 2021 📅
📘 Analytical wave structures in plasma via Gilson-Pickering equation, 125 citations 📊, 2021 📅
📘 Modulation instability & solutions to modified NLS equation, 109 citations 📊, 2020 📅
📘 Optical bright–dark & Gaussian solitons with TOD, 96 citations 📊, 2017 📅
📘 Exact wave solutions to (2+1)D Chiral NLS equation, 72 citations 📊, 2021 📅
📘 Exact solitons in monomode optical fibers, 64 citations 📊, 2023 📅
📘 Wave structures to Chen–Lee–Liu equation & MI analysis, 56 citations 📊, 2021 📅
📘 Solitary waves in 3D-FWBBM shallow water model, 54 citations 📊, 2021 📅
📘 Lump & breather solutions to Pavlov equation, 53 citations 📊, 2022 📅
📘 Pure-cubic optical solitons & stability, 52 citations 📊, 2021 📅
📘 Solitons in nonlinear Schrödinger model, 48 citations 📊, 2021 📅
📘 Optical solitons in birefringent fibers with FWM, 46 citations 📊, 2020 📅
📘 Solitary wave solutions in conformable Schrödinger system, 45 citations 📊, 2022 📅
📘 Soliton structures in double dispersive equation, 43 citations 📊, 2022 📅

Yehu Lv | Dynamical Systems | Best Researcher Award

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Dr. Yehu Lv | Dynamical Systems | Best Researcher Award

Lecturer, School of Mathematical Sciences, University of Jinan, China

Yehu Lv, born on December 9, 1994, in Shandong Province, China, is a dedicated researcher and lecturer in mathematical sciences. With a strong academic foundation and passion for advanced mathematical modeling, he has contributed extensively to the field of bifurcation theory, random diffusion systems, and image restoration techniques. Currently serving as a Lecturer at the University of Jinan since July 2023, Lv’s academic journey spans top Chinese universities and multiple high-impact publications. His research is characterized by its deep mathematical rigor and relevance to real-world phenomena in ecological modeling and image processing. A multilingual scholar fluent in Chinese and English, Lv also brings strong computational and presentation skills to his academic work. He actively contributes to the international academic community through journals and collaborations, with a growing reputation in applied and theoretical mathematics. Outside academia, he enjoys reading, soccer, and traveling, balancing his professional pursuits with a rich set of personal interests.

Publication Profile

Scopus

ORCID

🎓 Education

Yehu Lv has a well-rounded academic background in mathematics and computing. He began his academic journey with a Bachelor’s degree in Information and Computing Science at the School of Mathematical Sciences, Dezhou University (2013–2017). He then pursued his Master’s degree in Computational Mathematics at Hebei University of Technology (2017–2020), further deepening his understanding of numerical analysis and applied mathematics. Lv recently earned his Ph.D. in Fundamental Mathematics from the School of Mathematical Sciences at Beijing Normal University (2020–2023), under the supervision of Professor Zhihua Liu. His doctoral research focused on bifurcation analysis in random diffusion systems and systems with spatial memory diffusion—demonstrating his expertise in both deterministic and stochastic dynamic systems. His multidisciplinary education has equipped him with a robust skillset in theoretical analysis, modeling, and computation, preparing him for impactful contributions in both academia and applied research.

💼 Experience

Yehu Lv is currently a Lecturer at the School of Mathematical Sciences, University of Jinan, a position he has held since July 2023. His role includes teaching advanced mathematics courses, mentoring students, and conducting high-level research. Prior to his appointment, he developed a strong foundation in both teaching and independent research during his postgraduate and doctoral studies. Though early in his formal professional career, Lv has already published extensively, reflecting deep engagement in research during his academic training. His Master’s research focused on image denoising and restoration using total generalized variation methods, while his Ph.D. work explored bifurcation phenomena in systems with diffusion and memory. This dual focus on theory and application sets him apart as a versatile mathematician. His work continues to influence topics in ecological modeling and pattern formation, and he remains committed to research excellence and knowledge dissemination.

🔬 Research Focus

Yehu Lv’s research focus lies at the intersection of applied mathematics, bifurcation theory, and diffusion systems. His work investigates complex dynamical behaviors in reaction-diffusion systems, predator-prey models, and memory-based systems. Specifically, he has extensively studied Turing-Hopf, Hopf-Hopf, and Bogdanov-Takens bifurcations in systems influenced by spatial effects, delay, taxis, and nonlocal interactions. His PhD research explored bifurcation analysis in random diffusion and memory-driven systems, offering insight into pattern formation, stability, and oscillatory dynamics. In parallel, during his Master’s studies, he explored advanced image denoising and restoration methods based on total generalized variation (TGV), demonstrating his proficiency in numerical techniques and functional analysis. Lv’s research is highly relevant to both theoretical advancements and practical applications, such as ecological modeling, pattern formation, and digital image processing. His continued exploration of multi-scale and multi-effect mathematical models makes his work essential to understanding dynamic processes in biology, physics, and engineering.

🏆 Awards and Honors 

While the provided profile does not explicitly list specific awards or honors, Yehu Lv’s academic achievements and publication record speak volumes about his excellence and recognition in the field. Publishing over 10 high-quality articles in reputable international journals such as Chaos, Solitons & Fractals, Nonlinear Dynamics, and Mathematical Methods in the Applied Sciences is a remarkable accomplishment, particularly for an early-career researcher. His work is frequently published in top-tier, peer-reviewed outlets, indicating strong peer recognition and validation of his research contributions. Being supervised by esteemed scholars like Prof. Zhihua Liu at Beijing Normal University further highlights his academic standing. Additionally, his appointment as a Lecturer at the University of Jinan reflects institutional trust and recognition of his potential. Future honors and awards are likely to follow as his research impact continues to grow. This publication and career trajectory indicates a bright future in mathematical sciences and applied research.

Conclusion

Dr. Yehu Lv demonstrates exceptional promise as a young researcher in the field of mathematical modeling and bifurcation theory. His strong publication output, innovative approaches, and academic rigor make him a highly suitable candidate for the Best Researcher Award, particularly in the early-career category. With expanded collaborative work and deeper involvement in applied or interdisciplinary projects, he is well on track to becoming a leading figure in his field.

Publication Top Notes

​Influence of predator–taxis and time delay on the dynamical behavior of a predator–prey model with prey refuge and predator harvesting

Author: Yehu Lv

Year: 2025

Citations: Data not available​

​Turing-Hopf bifurcation analysis and normal form of a diffusive Brusselator model with gene expression time delay

Authors: Yehu Lv, Zhihua Liu

Year: 2021

Citations: Data not available​

​Turing-Hopf bifurcation in the predator-prey model with cross-diffusion considering two different prey behaviours’ transition

Author: Yehu Lv

Year: 2022

Citations: Data not available​

​The spatially homogeneous Hopf bifurcation induced jointly by memory and general delays in a diffusive system

Author: Yehu Lv

Year: 2022

Citations: Data not available​

​Bogdanov-Takens bifurcation for a diffusive predator-prey system with nonlocal effect and prey refuge

Author: Yehu Lv

Year: 2023

Citations: Data not available​

​Turing-Hopf bifurcation of a diffusive Holling-Tanner model with nonlocal effect and digestion time delay

Author: Yehu Lv

Year: 2023

​Turing-Turing bifurcation in an activator-inhibitor system with gene expression time delay

Author: Yehu Lv

Year: 2024

Citations: Data not available​

​Normal form of Turing-Turing bifurcation for the diffusive Bazykin system with prey-taxis

Author: Yehu Lv

Year: 2024

Citations: Data not available​

​Turing-Hopf bifurcation analysis and normal form in delayed diffusive predator-prey system with taxis and fear effect

Author: Yehu Lv

Year: 2024

Citations: Data not available​

Inhomogeneous Hopf bifurcation in a diffusive predator-prey system with indirect predator-taxis

Author: Yehu Lv

Year: 2025

Citations: Data not available

Riccardo Sacco | Mathematical Modeling | Best Researcher Award

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Assoc. Prof. Dr. Riccardo Sacco | Mathematical Modeling | Best Researcher Award

Assoc. Prof. Dr. Riccardo Sacco, Icahn School of Madicine at Mount Sinai Hospital New York, United States

Dr. Riccardo Sacco is an expert in numerical analysis, computational modeling, and biomathematics. Previously, he served as Associate Professor at Politecnico di Milano (2001–2024). His research spans ophthalmology, bioelectronics, and fluid dynamics, with 269 publications, an h-index of 31, and over 7,300 citations. He has authored 7 books, including one translated into five languages. Dr. Sacco has secured $784,000 in research funding, mentored 60+ master’s and 7 PhD students, and serves as an editor for multiple journals. He has held visiting positions at AT&T Bell Labs, Georgia Tech, and Strasbourg University.

Publication Profile

Google Scholar

Academic Journey

Assoc. Prof. Dr. Riccardo Sacco is a distinguished researcher in Numerical Analysis. Since November 2024, he has been serving as an Associate Scientist at the Icahn School of Medicine, Mount Sinai Hospital, New York, USA 🏥. Prior to this, he dedicated over two decades (2001-2024) as an Associate Professor at Politecnico di Milano (PoliMi), Italy 🎓. His expertise was further recognized in March 2017, when he earned the Habilitation at the rank of Full Professor in Numerical Analysis 📊. Dr. Sacco’s contributions continue to shape computational mathematics and biomedical applications. 🔬💡

🎓 Teaching & Mentorship

Assoc. Prof. Dr. Riccardo Sacco is actively engaged in teaching and mentoring at Politecnico di Milano (PoliMi) 🏛️. In the current academic year, he teaches Numerical Analysis 📊 (Fall Semester, MS in Civil Engineering, 160 students) and Computational Modeling in Electronics & Biomathematics 🧬⚡ (Spring Semester, MS in various engineering fields, 40 students). He also teaches Numerical Analysis (Spring Semester, BS in Electronic Engineering, 100 students). Since 2000, he has mentored 6 undergraduate students, 60+ MS students (including 20 females), and 7 PhD candidates (including 4 females) 🎯📖.

🏆 Honors & Awards

Assoc. Prof. Dr. Riccardo Sacco has received prestigious recognitions for his contributions to numerical analysis and computational modeling 🏅. In 2001, he was included in Who’s Who in the World 2001 📖 (18th Edition, p. 1877, New Providence, NJ). In 2010, he co-authored the “Most Downloaded Article” in Computer Methods in Applied Mechanics and Engineering (CMAME) 📊. The paper, titled “Analytical and numerical study of photocurrent transients in organic polymer solar cells”, was published in Volume 199 (2010), Pages 1722-1732, showcasing his impactful research in computational electromagnetics ⚡🔬.

📜 Professional Records

Assoc. Prof. Dr. Riccardo Sacco holds a B.Sc./M.Sc. in Electronic Engineering (PoliMi, 1989) 🎓 and a Ph.D. in Applied Mathematics (UniMi, 1993) 📊. He pursued postdoctoral research at CNR and UniMi (1993-1995) 🔬. His career spans roles as lecturer, researcher, and scientific consultant in academia and industry 🏛️💡. He has been a visiting scientist at AT&T Bell Labs, Georgia Tech, and European/US universities 🌎. Additionally, he has served on editorial and PhD boards and moderated international conferences 🎤. He is a reviewer for over 30 high-impact journals, contributing to numerical analysis, biomathematics, and computational modeling 🏆📖.

🎓 Teaching Records

Assoc. Prof. Dr. Riccardo Sacco has been actively involved in teaching at Politecnico di Milano (PoliMi) since 1989 📚. He has taught Calculus and Numerical Analysis to undergraduate and graduate students in Engineering and Architecture 🏗️. From 1995-2001, he expanded his focus to Numerical Methods for Engineering, covering Mechanical, Aerospace, and Electronic Engineering ✈️⚙️. Since 2001, he has led courses in Computational Modeling, Functional and Numerical Methods, and Biomathematics for students in Mechanical, Civil, Electronic, Mathematical, and Physics Engineering 📊🔬. His extensive teaching experience has contributed to the development of future engineers and researchers.

🔬 Research Focus

Assoc. Prof. Dr. Riccardo Sacco’s research spans numerical mathematics 🧮, computational modeling 🖥️, and scientific computing 📊. His work includes finite element methods, discontinuous Galerkin methods, and multiphysics modeling for engineering applications. He has contributed to semiconductor physics ⚡, poroelasticity in biomechanics 🏥, and blood flow mechanics ❤️. His studies also extend to quantum-corrected drift-diffusion models and biomechanics of the optic nerve 👁️. With highly cited works on numerical methods in engineering, computational electronics, and biomedical applications, his research bridges applied mathematics, physics, and bioengineering for advancing computational science.

Publication Top Notes

  • Numerical mathematics
    Cited by: 3901
    Year: 2010 📘
  • Matematica numerica
    Cited by: 236
    Year: 2010 📘
  • A hybridizable discontinuous Galerkin method for steady-state convection-diffusion-reaction problems
    Cited by: 228
    Year: 2009 🖥️
  • Méthodes Numériques: Algorithmes, analyse et applications
    Cited by: 222
    Year: 2007 📚
  • Numerische Mathematik 2
    Cited by: 163
    Year: 2013 📖
  • Quantum-corrected drift-diffusion models for transport in semiconductor devices
    Cited by: 150
    Year: 2005 ⚡
  • Méthodes numériques pour le calcul scientifique: programmes en MATLAB
    Cited by: 111
    Year: 2000 💻
  • A poroelastic model for the perfusion of the lamina cribrosa in the optic nerve head
    Cited by: 90
    Year: 2014 👁️
  • A semi-Lagrangian discontinuous Galerkin method for scalar advection by incompressible flows
    Cited by: 90
    Year: 2006 🌊
  • Discretization of semiconductor device problems (I)
    Cited by: 87
    Year: 2005 ⚙️
  • Analysis of nonlinear poro-elastic and poro-visco-elastic models
    Cited by: 84
    Year: 2016 🏥
  • Blood flow mechanics and oxygen transport and delivery in the retinal microcirculation: multiscale mathematical modeling and numerical simulation
    Cited by: 82
    Year: 2016 ❤️
  • The discontinuous Petrov–Galerkin method for elliptic problems
    Cited by: 79
    Year: 2002 🔢
  • A multiphysics/multiscale 2D numerical simulation of scaffold-based cartilage regeneration under interstitial perfusion in a bioreactor
    Cited by: 74
    Year: 2011 🦠
  • Cardiovascular function and ballistocardiogram: A relationship interpreted via mathematical modeling
    Cited by: 59
    Year: 2019 ❤️
  • Mixed finite volume methods for semiconductor device simulation
    Cited by: 58
    Year: 1997 ⚙️
  • A new Galerkin framework for the drift-diffusion equation in semiconductors
    Cited by: 54
    Year: 1998 ⚡
  • Global weak solutions for an incompressible charged fluid with multi-scale couplings: initial–boundary-value problem
    Cited by: 53
    Year: 2009 🌐
  • Light-induced charge generation in polymeric nanoparticles restores vision in advanced-stage retinitis pigmentosa rats
    Cited by: 46
    Year: 2022 👁️
  • Atomic migration in phase change materials
    Cited by: 45
    Year: 2013 ⚡