Dipesh | Applied Mathematics | Best Researcher Award

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Dr. Dipesh | Applied Mathematics | Best Researcher Award

Assistant Professor at SR University, India

Dr. Dipesh is a dynamic and visionary scholar 🌟 whose research bridges the frontiers of mathematics, engineering, and innovation. With a profound commitment to academic excellence 📚, he has contributed significantly to applied mathematics and interdisciplinary modeling. His scholarly journey is marked by a trail of high-impact publications, collaborative projects, and a passion for advancing scientific knowledge through innovative methods 🧠🔬. Dr. Dipesh’s work seamlessly integrates theory and application, addressing real-world challenges with mathematical precision. As a dedicated educator and researcher 👨‍🏫, he inspires students and peers alike, fostering a culture of curiosity and discovery. Known for his strategic thinking and problem-solving acumen 🎯, he is a driving force in the global research community. His contributions not only elevate his field but also pave the way for future innovations in science and technology 🌐. Dr. Dipesh embodies the spirit of intellectual rigor, innovation, and global impact. 🚀

Professional Profile 

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ORCID Profile

Education 🎓

Dr. Dipesh’s academic voyage began with a thirst for discovery, leading him to earn top distinctions across his educational milestones. From undergraduate brilliance to postgraduate mastery, he consistently demonstrated scholarly agility. His doctoral pursuit was nothing short of transformative, delving deep into the realms of applied mathematics and computational modeling. With a blend of analytical sharpness and creative thought 💡, he shaped a thesis that resonated across disciplines. Through internships, fellowships, and global academic exposure 🌍, Dr. Dipesh embraced both classical theory and cutting-edge advancements, enriching his intellectual toolkit. His academic record reflects not just excellence, but evolution — an unrelenting quest for understanding the mathematical patterns that shape our world. With each degree, he built not just knowledge, but vision — a vision that continues to inspire every academic and professional arena he enters.

Professional Experience 

With a career rooted in purpose and propelled by passion, Dr. Dipesh has crafted a vibrant professional canvas. From research institutions to academic think tanks, he has donned multiple hats — as a lecturer, mentor, consultant, and principal investigator. His work echoes across domains like mathematical modeling, computational simulations, and interdisciplinary analytics 🔍. Through strategic collaborations and leadership in diverse research initiatives, he has translated theory into impact. His roles have spanned curriculum development, peer review, and technological innovation, each enriching his expertise. Dr. Dipesh brings not just experience, but engagement — an unwavering drive to uplift scientific inquiry and educational transformation 📈. Whether guiding students or steering complex projects, he embodies professionalism with a human touch. His journey is marked by meaningful milestones that reflect both depth and diversity — a true blend of intellect and initiative in motion.

Research Interest 🔬

Dr. Dipesh’s research universe orbits around the fusion of abstract theory and practical relevance. He thrives at the intersection of applied mathematics, machine learning, data-driven modeling, and real-world system optimization 🌐. Passionate about unraveling complex dynamics, his work ventures into fractional calculus, differential equations, computational intelligence, and interdisciplinary simulations. Dr. Dipesh views research as a living organism — evolving, adapting, and contributing to the scientific ecosystem. His investigations are not limited to academic curiosity; they aim to decode pressing global issues using mathematical clarity and innovation 🧠. From predictive algorithms to mathematical physics, he embraces complexity with elegance. A firm believer in cross-domain synergy, his inquiries often collaborate with fields like biology, environmental science, and artificial intelligence 🤝. Driven by both rigor and relevance, his research is a beacon for transformative insight and sustainable innovation.

Awards and Honors 🏆

Dr. Dipesh’s accolades reflect his commitment to excellence and his pioneering spirit. Recognized both nationally and internationally, he has received honors that celebrate not just his research, but his contribution to education and societal advancement 🌟. From best paper awards to research fellowships, he has built a distinguished legacy of merit. These recognitions stem from competitive platforms where innovation meets influence. Whether through academic forums, institutional commendations, or international conferences 🌍, his work has earned applause and admiration. His awards are more than trophies — they are testaments to his intellectual resilience, collaborative ethos, and trailblazing ideas. A mentor to many and a leader in thought, Dr. Dipesh’s decorated career is a living narrative of perseverance, curiosity, and global contribution 🏅. These honors reaffirm his role as a changemaker in the ever-expanding sphere of mathematical sciences.

Conclusion 🧭

Dr. Dipesh stands as a luminary whose path fuses intellect, imagination, and impact. His academic roots, professional ventures, and research brilliance have built a profile defined by depth and dynamism 🌈. More than just a mathematician, he is a storyteller of systems, a bridge between theory and transformation. Every equation he solves and every model he constructs echoes his belief in knowledge as a catalyst for change. As a scholar, mentor, and visionary, he continues to shape minds and spark innovation across continents 📚✨. Dr. Dipesh doesn’t just follow the path — he crafts it, inspiring future thinkers to ask bold questions and dream without limits. His legacy is not only found in published pages or professional positions, but in the lives he touches and the paradigms he shifts 🔄. He is a vibrant force — ever-evolving, ever-inspiring, and ever-forward.

Publications Top Notes

  • 🌿 Effect of time delay on dynamic of plant competition under allelopathy
    Authors: P.K. Dipesh
    Year: 2022
    Citations: 11
    Source: Mathematical Methods in the Applied Sciences

  • 🌲 Optimizing industrial growth through alternative forest biomass resources: A mathematical model using DDE
    Authors: Dipesh, P. Kumar, C. Cattani
    Year: 2023
    Citations: 10
    Source: International Journal of Mathematics and Computer in Engineering

  • 🌱 Effect of time-lag on two mutually competing plant populations under allelochemicals
    Authors: P.K. Dipesh
    Year: 2022
    Citations: 10
    Source: Journal of Physics: Conference Series 2267 (1), 012019

  • 🔬 Enhancing high frequency magneto-dielectric performance with exchange-coupled garnet/spinel ferrite composites
    Authors: Dipesh, A. Sharma, H. Mahajan, N. Aggarwal, S. Sinha, A.K. Srivastava
    Year: 2023
    Citations: 6
    Source: Nano-Structures & Nano-Objects 36, 101035

  • 🧪 Investigating the impact of toxicity on plant growth dynamics through the zero of a fifth-degree exponential polynomial: A mathematical model using DDE
    Authors: Dipesh, P.K.
    Year: 2023
    Citations: 6
    Source: Chaos, Solitons & Fractals 171, 113457

  • 🌾 Modelling the stimulatory and inhibitory allelopathic effects on competing plant populations
    Authors: Dipesh, P. Kumar
    Year: 2022
    Citations: 6
    Source: AIP Conference Proceedings 2435 (1)

  • 📈 Modeling and analysis of demand-supply dynamics with a collectability factor using DDE in economic growth via the Caputo operator
    Authors: Dipesh, Q. Chen, P. Kumar, H.M. Baskonus
    Year: 2024
    Citations: 5
    Source: AIMS Mathematics 9 (3), 7471–7191

  • 🌿 Sensitivity and Directional Analysis of Two Mutually Competing Plant Population Under Allelopathy Using DDE
    Authors: Dipesh, P. Kumar
    Year: 2023
    Citations: 3
    Source: Mathematics and Computing, 605–620

  • 🌱 Role of Delay on Two Competing Plant Populations Under the Allelopathic Effect
    Authors: Dipesh, P. Kumar
    Year: 2022
    Citations: 2
    Source: Emerging Advancements in Mathematical Sciences, 39–58

  • 💰 Stability Analysis of GDP-National Debt Dynamics using Delay Differential Equation
    Authors: Q. Chen, Dipesh, P. Kumar, H.M. Baskonus
    Year: 2024
    Citations: 1
    Source: Fractals, 2540059

  • 🌿 A novel approach to 6th-order DDEs in toxic plant interactions and soil impact: beyond Newton-Raphson
    Authors: Dipesh, P. Kumar
    Year: 2024
    Citations: 1
    Source: Physica Scripta 99 (6), 065236

  • 🧲 Exchange-coupling enhanced: Tailoring structural and magnetic properties of Dy iron garnet ferrite nanoparticles via La substitution
    Authors: Dipesh, A. Sharma, P. Kumar, J.V. Vas, R. Medwal, A.K. Srivastava
    Year: 2024
    Citations: 1
    Source: Journal of Materials Research, 1–18

  • 📊 On the equilibrium point and Hopf-Bifurcation analysis of GDP-national debt dynamics under delayed investment: A new DDE model
    Authors: Dipesh, Q. Chen, P. Kumar, H.M. Baskonus
    Year: 2024
    Citations: 1
    Source: Alexandria Engineering Journal 91, 510–515

  • 🔍 Unlocking the Potential of Garnet Ferrites: A Comprehensive Review on Properties, Preparation Methods, and Applications
    Authors: A. Sharma, Dipesh
    Year: 2024
    Citations: 1
    Source: Materials Performance and Characterization 13 (1), 1–36

  • 🔋 Status and Prospects of GdIG Garnet Ferrites for Energy Storage Devices: A Review
    Authors: A. Sharma, Dipesh, H. Mahajan, A.K. Srivastava
    Year: 2024
    Citations: 1
    Source: Next Generation Materials for Sustainable Engineering, 174–186

  • 🌲 Delay DDE model of forest biomass and competition between wood‐based and synthetic‐based industries
    Authors: Dipesh, P. Kumar
    Year: 2023
    Citations: 1
    Source: Mathematical Methods in the Applied Sciences

  • 🫀 Modelling the Role of Delay in Blood Flow Dynamics in the Human Body using DDE
    Authors: Dipesh, P. Kumar
    Year: 2025
    Citations: –
    Source: Physica A: Statistical Mechanics and its Applications, 130602

  • 💹 On modeling the impact of delay on stock pricing fluctuations using DDE
    Authors: Y. Wang, Dipesh, P. Kumar, H.M. Baskonus, W. Gao
    Year: 2025
    Citations: –
    Source: Physica A: Statistical Mechanics and its Applications, 130601

  • 🍃 Modeling and analyzing delay in plant responses under toxicity
    Authors: Dipesh, P. Kumar, H.M. Baskonus
    Year: 2025
    Citations: –
    Source: Advances in Computational Methods and Modeling for Science and Engineering

  • 🌱 Effect of time delay on directional and stability analysis of plant competition for allelochemicals study
    Authors: Dipesh, P. Kumar, H.M. Baskonus, A. Ciancio
    Year: 2025
    Citations: –
    Source: Advances in Computational Methods and Modeling for Science and Engineering

 

Ghanem Aicha | Game Theory | Best Researcher Award

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Dr. Ghanem Aicha | Game Theory | Best Researcher Award

Ph.D at Laboratory of Fundamental and Numerical Mathematics (LMFN), Algeria

Dr. Ghanem Aicha 🎓, a rising scholar from the Laboratory of Fundamental and Numerical Mathematics at Ferhat Abbas University, Setif 1 🇩🇿, is carving a niche in the sophisticated realms of Differential Games and Optimal Control Theory. Her research brilliance shines through her dynamic application of programming tools like MATLAB, Python, Java, and C++ 💻 to develop theoretically sound and numerically robust solutions. With a solid academic foundation and guided by distinguished mentors Dr. Bouremani Touffik and Prof. Benterki Djamel, she has actively presented her work in prestigious international and national conferences 🌍. Her recent publication in the Journal of Computational and Applied Mathematics 📘 marks a pivotal achievement, validating her innovative approach to complex mathematical problems. Multilingual and methodical, Dr. Aicha embodies the essence of a forward-thinking researcher, harmonizing analytical depth with computational precision. She stands as a beacon of promise for the future of applied mathematics and control systems 🔍✨.

Professional Profile 

ORCID Profile

Education 🎓📚

Dr. Ghanem Aicha’s academic odyssey began with a Baccalaureate in Mathematics in Batna (2014), paving the way to her Bachelor’s degree in Mathematics at the University of Msila (2014–2017). She then embarked on a focused journey in Optimization and Control, earning her Master’s degree from Setif University (2017–2019). Her quest for deeper mathematical understanding led her into a Ph.D. program (2021–2025) at the Laboratory of Fundamental and Numerical Mathematics, Ferhat Abbas University, Setif 1 🧠. Under the mentorship of Dr. Bouremani Touffik and Professor Benterki Djamel, she has delved into the challenging fields of Differential Games and Optimal Control Theory, building a rigorous theoretical and computational foundation. Her educational path showcases a blend of resilience, precision, and unwavering commitment to mathematical excellence—laying a robust framework for her future in academia and scientific innovation 🚀.

Professional Experience 👩‍💼🔬

Though early in her professional voyage, Dr. Ghanem Aicha has already demonstrated the makings of an impactful researcher. As a dedicated Ph.D. scholar at Ferhat Abbas University, she has engaged deeply with theoretical and numerical modeling, contributing to scholarly discourse through national and international platforms 🌍. Her experience includes collaborating with esteemed researchers, co-authoring peer-reviewed journal articles, and presenting at symposiums such as IMSSRS (USA) and the Institute of Mathematics, NAS of Ukraine. Dr. Aicha is also proficient in scientific computing, harnessing the power of Matlab, Python, Java, and C++ to model and simulate complex control systems ⚙️💻. She regularly analyzes technical reports and applies dynamic programming approaches to multifaceted differential problems. Her academic engagements extend beyond research, encompassing mentoring peers and contributing to collaborative investigations, all while nurturing a global scientific perspective. A future thought leader in applied mathematics, her professional journey is gaining momentum with precision and purpose 🌟.

Research Interest 🔎📐

Dr. Ghanem Aicha’s research orbit revolves around Differential Games, Optimal Control Theory, and Dynamic Programming, where mathematics meets decision-making under constraints. She explores intricate systems where strategy, optimization, and real-time control intersect—a crucial foundation for aerospace, economics, and cybernetics 🚀📊. Her fascination lies in characterizing admissible trajectories in differential games, especially under Dolichobrachistochrone and Isaacs’ frameworks. Bridging theory with application, she seeks solutions that are both mathematically elegant and computationally verifiable. With an affinity for numerical simulation and algorithmic development, her work is powered by a synthesis of abstract reasoning and practical modeling. She is particularly interested in non-singular and singular solution cases, extending Hamiltonian flows, and optimizing complex parametric curves. Through her interdisciplinary lens, she aims to push the frontiers of how we model and manage real-world dynamical systems. A true advocate for precision and possibility, Dr. Aicha is poised to become a trailblazer in the control sciences and applied game theory 🧠🎯.

Awards and Honors 🏆🌟

While still navigating the early stages of her career, Dr. Ghanem Aicha has already begun gathering academic accolades through her impactful contributions. Her co-authored paper—“On the solution of the dolichobrachistochrone differential game via dynamic programming approach”—was accepted in the prestigious Journal of Computational and Applied Mathematics 📘, a milestone for emerging researchers. She has been invited to present her work at top-tier international platforms including the Institute of Mathematics of NAS Ukraine and the International Mathematics and Statistics Student Research Symposium (IMSSRS), USA 🌐—a testament to the growing recognition of her mathematical insight. Though formal awards may still be on the horizon, her consistent selection for speaking engagements, collaborations with senior academics, and invitations to advanced workshops reflect an evolving trajectory of academic merit. With her strong foundation and innovative mindset, many honors undoubtedly await this promising mathematician on the global research stage 🥇✨.

Conclusion ✨📈

Dr. Ghanem Aicha is a bright luminary rising through the constellation of contemporary mathematics 🌠. With a focused specialization in Differential Games and Optimal Control Theory, she melds elegance of theory with the power of computation—producing impactful results that resonate across academia and beyond. Her academic perseverance, technical dexterity, and early achievements position her as not only a researcher of today but a pioneer of tomorrow 💡. Fluent in multiple languages and skilled in diverse programming tools, she bridges cultures and codes with equal fluency. Through every paper published, presentation delivered, and problem solved, she reflects dedication, innovation, and precision. As she continues her scholarly ascent, Dr. Aicha embodies the spirit of a next-generation thinker—methodical, curious, and deeply committed to the advancement of science. A compelling candidate for any research honor, she is truly a name to watch in the mathematical sciences 🔭📊.

Publications Top Notes

📘 Title:On the Solution of Dolichobrachistochrone Differential Game via Dynamic Programming Approach

👩‍🔬 Authors: Ghanem Aicha, Touffik Bouremani, Djamel Benterki
📆 Year: December 2024
📚 Source: Journal of Computational and Applied Mathematics
🧠 Vibe: A thrilling journey into the core of differential games, this paper revives Isaacs’ 1965 brainchild using the sharp blade of Mirică’s 2004 dynamic programming. The twist? It pioneers feedback strategies—giving this classical conundrum a futuristic edge 🎯🤖.

📗 Title:New Proceeding CNMA’2022

🧑‍🤝‍🧑 Authors: Ichrak Bouacida, Mourad Kerboua, Sami Segni, Ghanem Aicha
🗓️ Year: July 2023
🏛️ Source: Conference on Nonlinear Mathematical Analysis (CNMA’2022) – Full Text Available
🌟 Essence: A symphony of minds tackling nonlinear mysteries. Dr. Aicha joins forces with renowned peers to spotlight fresh insights at CNMA’2022—a scholarly pulse on the national stage with global echoes 📈🌐.

Saeed Ahmad | Applied Mathematics | Best Researcher Award

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Assist. Prof. Dr. Saeed Ahmad | Applied Mathematics | Best Researcher Award

Assistant Professor at University of Malakand Chakdara, Pakistan

Dr. Saeed Ahmad is a distinguished researcher and academic in the field of applied mathematics, with a strong focus on dynamical systems, nonlinear analysis, and mathematical biology 🔬📈. He earned his Ph.D. from the University of Nottingham, UK 🇬🇧, where his work on semifluxons in long Josephson junctions gained international recognition 🌍. With over 20 high-impact publications in reputable journals such as Chaos, Solitons and Fractals and Physical Review B 📚🧠, Dr. Ahmad has contributed significantly to the understanding of fractional differential models in epidemiology and physics. Currently serving as an Assistant Professor at the University of Malakand 🇵🇰, he also mentors M.Phil. and Ph.D. scholars, fostering future generations of researchers 🎓👨‍🏫. His expertise spans real and complex analysis, PDEs, and nonlinear waves, underlining his versatility in mathematics 🧮📊. A recipient of a prestigious HEC scholarship, his academic journey is a testament to excellence and dedication ⭐🏅.

Professional Profile

Google Scholar
Scopus Profile

Education 🎓📘

Dr. Saeed Ahmad holds an impressive academic background rooted in excellence and global exposure. He completed his Ph.D. in Applied Mathematics from the prestigious University of Nottingham, United Kingdom 🇬🇧, focusing on the mathematical modeling of semifluxons in long Josephson junctions—a complex area blending physics and nonlinear analysis 🔬📐. Prior to his doctoral studies, he obtained his M.Phil. and M.Sc. degrees in Mathematics from leading Pakistani institutions, laying a strong foundation in real and complex analysis, differential equations, and functional analysis 📖🧠. Throughout his academic journey, Dr. Ahmad consistently achieved top ranks and received multiple scholarships for his outstanding performance 🏅✍️. His educational credentials are a testimony to his dedication, intellectual rigor, and commitment to advancing mathematical sciences on both theoretical and applied fronts 📊📏.

Professional Experience 🧑‍🏫💼

Dr. Saeed Ahmad is currently serving as an Assistant Professor in the Department of Mathematics at the University of Malakand, Pakistan 🇵🇰, where he plays a pivotal role in teaching, mentoring, and leading research initiatives. With over a decade of academic experience, he has guided M.Phil. and Ph.D. students in areas like nonlinear dynamics, fractional calculus, and mathematical biology 🎓🔬. His teaching philosophy blends analytical precision with real-world relevance, inspiring students to approach mathematics as a powerful problem-solving tool 🧮🧑‍🎓. In addition to his academic duties, Dr. Ahmad actively contributes to curriculum development, seminars, and interdisciplinary collaborations across departments 🤝📋. He has also participated in international conferences and workshops, enhancing his global academic engagement 🌍📢. His professional journey reflects a balanced blend of scholarly depth and educational leadership, making him a cornerstone of the university’s mathematical research community 🏛️📚.

Research Interests 🔍🧠

Dr. Saeed Ahmad’s research interests lie at the intersection of applied mathematics, nonlinear analysis, and mathematical modeling 📈🧬. He specializes in dynamical systems, fractional differential equations, and nonlinear wave phenomena—applying these concepts to real-world systems in physics, epidemiology, and engineering 🔧⚛️. His work on Josephson junctions, a quantum mechanical device, has garnered international recognition and continues to influence modern theoretical physics 🧲🌐. Additionally, Dr. Ahmad explores the dynamics of infectious disease models using fractional calculus to improve predictive accuracy in biological systems 🧫🦠. He has authored over 20 impactful research papers in leading journals such as Chaos, Solitons & Fractals and Physical Review B, demonstrating both depth and innovation 📚🚀. His interdisciplinary approach bridges theoretical rigor with practical applications, positioning him as a thought leader in mathematical sciences and beyond 🔬🧮.

Awards and Honors 🏆🎖️

Dr. Saeed Ahmad has been recognized for his academic and research excellence with numerous awards and honors that highlight his contributions to mathematics both nationally and internationally 🌟🌐. He was the recipient of a prestigious Higher Education Commission (HEC) scholarship for his Ph.D. studies in the UK, a testament to his exceptional academic merit and potential 🇵🇰🎓. His research publications have earned accolades in the form of high-impact citations, reflecting their value within the global scientific community 📖💡. Additionally, Dr. Ahmad has been invited as a speaker at various international conferences, recognizing his expertise in applied mathematics and nonlinear dynamics 🎤📊. His achievements underscore a career built on dedication, innovation, and the pursuit of knowledge. These honors not only reflect individual excellence but also contribute to raising the academic profile of his home institution and country 🏅📘.

Conclusion 📝📌

In summary, Dr. Saeed Ahmad stands as a dedicated scholar, educator, and researcher whose work in applied mathematics continues to make a lasting impact on both theory and real-world applications 🌍🔢. With a solid educational foundation, substantial teaching experience, and a strong portfolio of research contributions, he exemplifies the spirit of academic excellence and innovation 🧑‍🏫🧠. His interdisciplinary focus bridges mathematics with physics and biology, demonstrating the versatility and necessity of mathematical tools in solving modern scientific challenges 🧮🔬. Dr. Ahmad’s recognition through awards and international collaborations further cements his reputation as a respected figure in the global mathematical community 🏆🌐. As he continues to mentor students and publish groundbreaking research, his contributions will undoubtedly shape the future of applied mathematics and inspire the next generation of mathematical thinkers 📚🚀.

Publications Top Notes

  • Controllability of pantograph-type nonlinear non-integer order differential system with input delay

    • Authors: I. Ahmad, S.F. Ahmad, G. ur Rahman, Y. Karaca, Z.A. Khan

    • Year: 2025

    • Source: AEJ – Alexandria Engineering Journal

    • Topic: Control Theory, Delay Systems, Fractional Calculus

  • Vectorial spatial solitons of left and right circularly polarized beams in a chiral atomic medium using complex light fields with spatial structure

    • Authors: R.T. Ahmad, B.A. Bacha, S.F. Ahmad, I. Ahmad

    • Year: 2025

    • Source: [Unspecified Journal]

    • Topic: Optics, Nonlinear Physics

  • Exposure to Acute Concentration of Malathion Induced Behavioral, Hematological, and Biochemical Toxicities in the Brain of Labeo rohita

    • Authors: S. Ullah, S.F. Ahmad, M.K. Ashraf, T. Iqbal, M.M. Azzam

    • Year: 2025

    • Source: Life

    • Topic: Ecotoxicology, Behavioral Neuroscience

  • Empowering silver and copper nanoparticles through aqueous fruit extract of Solanum xanthocarpum for sustainable advancements

    • Authors: G. Rahman, H. Fazal, A. Ullah, G. Zengin, A. Farid

    • Year: 2025

    • Citations: 6

    • Source: Biomass Conversion and Biorefinery

    • Topic: Green Chemistry, Nanotechnology

  • A new fractional infectious disease model under the non-singular Mittag–Leffler derivative

    • Authors: X. Liu, M. Ur Rahmamn, S.F. Ahmad, D.I. Baleanu, Y. Nadeem Anjam

    • Year: 2025

    • Citations: 15

    • Source: Waves in Random and Complex Media

    • Topic: Epidemic Modeling, Fractional Calculus

  • Control of scabies fluctuation during COVID-19 pandemic

    • Authors: Abdullah, S.F. Ahmad, W. Albalawi, N. Omer

    • Year: 2025

    • Source: AEJ – Alexandria Engineering Journal

    • Topic: Infectious Disease Modeling, Public Health

  • Stability analysis and optimal control of a generalized SIR epidemic model with harmonic mean type of incidence and nonlinear recovery rates

    • Authors: S.R. Chawla, S.F. Ahmad, A. Khan, K.S. Nisar, H.M. Ali

    • Year: 2024

    • Source: AEJ – Alexandria Engineering Journal

    • Topic: Mathematical Epidemiology, Optimal Control

  • Coherent manipulation of vectorial soliton beam in sodium like atomic medium

    • Authors: B.A. Bacha, S.F. Ahmad, R.T. Ahmad, I. Ahmad

    • Year: 2024

    • Citations: 3

    • Source: Chaos, Solitons and Fractals

    • Topic: Quantum Optics, Solitons

  • Atom localization by damping spectrum of surface plasmon polariton waves

    • Authors: I. Shah, M.D.L. De la Sen, S.F. Ahmad, T.A. Alrebdi, A.H. Abdel-Aty

    • Year: 2024

    • Citations: 1

    • Source: AEJ – Alexandria Engineering Journal

    • Topic: Plasmonics, Atomic Physics

  • Beneficial Effects of Natural Alkaloids from Berberis glaucocarpa as Antidiabetic Agents: An In Vitro, In Silico, and In Vivo Approach

    • Authors: M. Alamzeb, S.T.A. Shah, H. Hussain, R.Q. Ullah, E.A. Ali

    • Year: 2024

    • Citations: 6

    • Source: ACS Omega

    • Topic: Drug Discovery, Natural Products, Diabetes

 

Hoger Ghahramani | Pure Mathematics | Best Researcher Award

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Prof. Hoger Ghahramani | Pure Mathematics | Best Researcher Award

Professor of Pure Mathematics at University of Kurdistan, Iran

Dr. Hoger Ghahramani 🎓, an esteemed Associate Professor at the University of Kurdistan 🇮🇷, stands as a distinguished scholar in Functional Analysis, Banach Algebras, and Operator Theory 🔍. With a Ph.D. in Mathematics from Tarbiat Modares University, his research illuminates the depths of non-commutative algebra and computability theory 💡. A prolific contributor to mathematical science, Dr. Ghahramani has authored over 20 impactful research papers in prestigious international journals 📚, and actively shares his expertise through conference presentations and invited talks across Iran and beyond 🌍. His excellence extends to education, where he inspires future mathematicians in advanced topics like Real and Functional Analysis, Operator Algebras, and Logic 📐. As a reviewer for Mathematical Reviews and referee for numerous journals, his academic footprint reflects both depth and leadership 🏅. Passionate, innovative, and dedicated, Dr. Ghahramani exemplifies the spirit of mathematical exploration and academic excellence 🌟.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

🎓 Education

Dr. Hoger Ghahramani embarked on his mathematical journey at Amirkabir University of Technology, where he earned both his B.Sc. and M.Sc. in Mathematics 🧠. His master’s thesis explored subnormal operators under the guidance of Prof. A. Riazi. Driven by a passion for deep theoretical frameworks, he pursued his Ph.D. in Mathematics at Tarbiat Modares University 🎓. Under the mentorship of Prof. G.H. Esslamzadeh, his doctoral work focused on the intricate world of derivations in Banach algebras. From foundational analysis to specialized algebraic structures, his academic formation laid a rock-solid base 🧱 for a lifelong pursuit of discovery. Dr. Ghahramani’s education not only sharpened his analytical acumen but also instilled a lifelong dedication to uncovering mathematical truths 🔍. His academic rigor, combined with a curiosity for abstraction and logic, paved the way for his impactful contributions in both theoretical and applied branches of mathematics 🌐.

👨‍🏫 Professional Experience

With unwavering dedication, Dr. Ghahramani began his academic career as an Assistant Professor at the University of Kurdistan in 2008 🏛️. His dynamic teaching style, coupled with his depth in subjects such as Functional Analysis, Operator Theory, and Mathematical Logic, quickly earned him recognition among students and peers alike. In 2015, he rose to the rank of Associate Professor 👏, a testament to his academic leadership and prolific research output. Over the years, he has delivered a wide range of graduate and undergraduate courses, sparking curiosity and excellence across multiple generations of learners 📘. He has played an active role in mentoring students, shaping research directions, and enriching the university’s academic culture 🧑‍🏫. Beyond the classroom, Dr. Ghahramani contributes extensively to the scholarly community by reviewing for Mathematical Reviews and refereeing for international journals, reinforcing his reputation as a reliable and respected voice in the global mathematics arena 🌍.

🧠 Research Interests

Dr. Ghahramani’s research is a masterful blend of classical and modern mathematical disciplines, primarily rooted in Functional Analysis, Banach and Operator Algebras, and Non-commutative Algebra 🔬. His scholarly curiosity extends into Computer Science through Computability Theory, showcasing his interdisciplinary reach 💡. At the heart of his work lies a deep investigation into derivations, Jordan maps, and algebraic structures through zero product techniques. With over 20 peer-reviewed publications, he has unraveled complex relationships and introduced elegant formulations that push the boundaries of contemporary mathematical thought 📈. Whether through investigating the reflexive closures of operator algebras or exploring the behavior of linear maps on *-algebras, his work resonates with precision, originality, and rigor 📚. Dr. Ghahramani’s theoretical innovations contribute profoundly to the structural understanding of algebraic and analytical systems, positioning him as a thought leader in his fields of interest 🌌.

🏅 Awards and Honors

Dr. Hoger Ghahramani’s academic journey is decorated with well-earned distinctions and professional recognition 🎖️. His long-standing role as a reviewer for Mathematical Reviews reflects the scholarly trust placed in his expertise and insight 🔍. Over the years, his participation as an invited speaker at national and international conferences has further solidified his place as a thought-provoking voice in advanced mathematics 🗣️. Moreover, his editorial and peer review contributions to respected journals underline his active involvement in shaping contemporary mathematical research 🧾. While not always formally titled, his honors shine through the widespread citation and relevance of his work, his mentorship impact, and the respect he commands in both academic and research communities 🤝. These recognitions are a natural outgrowth of a life committed to mathematical excellence and intellectual integrity. Dr. Ghahramani’s legacy continues to grow with every paper published, class taught, and theory illuminated ✨.

 Conclusion

In the vibrant landscape of modern mathematics, Dr. Hoger Ghahramani stands as a beacon of intellectual rigor, innovation, and mentorship 🌟. From his deep-rooted expertise in Banach algebras and operator theory to his impactful teaching and global academic collaborations, he has made remarkable contributions that resonate far beyond his home institution 🎯. His career reflects a perfect balance of theoretical exploration and practical dissemination—nurturing future mathematicians while expanding the frontiers of knowledge 📐. With a strong publication record, conference participation, and academic service, Dr. Ghahramani exemplifies the ideal scholar: driven, insightful, and ever-curious 🧭. His journey is not only a story of personal academic achievement but also an inspiration to those who believe in the transformative power of mathematics to decode the universe’s deepest structures 💫. As he continues to build upon his legacy, the mathematical world watches with anticipation and admiration 🚀.

Publications Top Notes

  • Functional identities of degree 2 at two-sided zero products on triangular algebras

    • Authors: Nurcan Argaç, Hoger Ghahramani

    • Year: 2025 📅

    • Citations: 0 🌟

    • Source: Journal of Algebra 📖

  • Linear mappings like Lie homomorphisms in zero products on a class of locally convex algebras

    • Authors: Hoger Ghahramani, Abbas Zivari-Kazempour

    • Year: 2025 📅

    • Citations: 0 🌟

    • Source: Asian-European Journal of Mathematics 📘

  • On Lie n-centralizers, n-commuting linear maps and related mappings of algebras

    • Author: Hoger Ghahramani

    • Year: 2025 📅

    • Citations: 0 🌟

    • Source: Communications in Algebra 📰

  • Additive maps related to Lie structure on factor von Neumann algebras

    • Authors: Behrooz Fadaee, Hoger Ghahramani

    • Year: 2024 📅

    • Citations: 0 🌟

    • Source: Journal of Analysis 📙

  • Posner’s First Theorem for Prime Modules

    • Authors: Hoger Ghahramani, Mohammad Nader Ghosseiri, Tahereh Rezaei

    • Year: 2024 📅

    • Citations: 0 🌟

    • Source: Khayyam Journal of Mathematics 📑

  • Derivable maps at commutative products on Banach algebras

    • Authors: Abbas Zivari-Kazempour, Hoger Ghahramani

    • Year: 2024 📅

    • Citations: 2 🌱

    • Source: Acta Scientiarum Mathematicarum 🧮

  • On derivations and Jordan derivations through zero products

    • Author: Hoger Ghahramani

    • Year: 2014 📅

    • Citations: 46 🏆

    • Source: Operators and Matrices 📚

  • On centralizers of Banach algebras

    • Author: Hoger Ghahramani

    • Year: 2015 📅

    • Citations: 42 🌟

    • Source: Bulletin of the Malaysian Mathematical Sciences Society 🌏

  • Additive mappings derivable at non-trivial idempotents on Banach algebras

    • Author: Hoger Ghahramani

    • Year: 2012 📅

    • Citations: 37 💡

    • Source: Linear and Multilinear Algebra 🔢

  • Jordan derivations on trivial extensions

    • Author: Hoger Ghahramani

    • Year: 2013 📅

    • Citations: 34 🌟

    • Source: Bulletin of the Iranian Mathematical Society 🌍

  • Characterizing Jordan maps on triangular rings through commutative zero products

    • Author: Hoger Ghahramani

    • Year: 2018 📅

    • Citations: 32 💼

    • Source: Mediterranean Journal of Mathematics 🌊

  • Zero product determined triangular algebras

    • Author: Hoger Ghahramani

    • Year: 2013 📅

    • Citations: 31 ✨

    • Source: Linear and Multilinear Algebra 🔢

  • Linear maps on group algebras determined by the action of the derivations or anti-derivations on a set of orthogonal elements

    • Author: Hoger Ghahramani

    • Year: 2018 📅

    • Citations: 29 🧑‍🔬

    • Source: Results in Mathematics 📈

  • Lie centralizers at zero products on a class of operator algebras

    • Authors: Hoger Ghahramani, W. Jing

    • Year: 2021 📅

    • Citations: 26 💫

    • Source: Annals of Functional Analysis 📔

  • *Linear Maps on -Algebras Behaving like (Anti-)derivations at Orthogonal Elements

    • Authors: Behrooz Fadaee, Hoger Ghahramani

    • Year: 2020 📅

    • Citations: 25 🌟

    • Source: Bulletin of the Malaysian Mathematical Sciences Society 🌏

  • Linear maps on standard operator algebras characterized by action on zero products

    • Authors: A. Barari, B. Fadaee, Hoger Ghahramani

    • Year: 2019 📅

    • Citations: 24 ✨

    • Source: Bulletin of the Iranian Mathematical Society 🧮

  • *Linear maps on -algebras acting on orthogonal elements like derivations or anti-derivations

    • Authors: Hoger Ghahramani, Z. Pan

    • Year: 2018 📅

    • Citations: 23 🧑‍🔬

    • Source: Filomat 📰

  • Additive maps on some operator algebras behaving like (α, β)-derivations or generalized (α, β)-derivations at zero-product elements

    • Author: Hoger Ghahramani

    • Year: 2014 📅

    • Citations: 23 🏅

    • Source: Acta Mathematica Scientia ✍️

  • Lie maps on triangular algebras without assuming unity

    • Authors: R. Behfar, Hoger Ghahramani

    • Year: 2021 📅

    • Citations: 22 🌟

    • Source: Mediterranean Journal of Mathematics 📖

 

Guangdong Zhou | Artificial Intelligence in Mathematics | Best Researcher Award

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Prof. Guangdong Zhou | Artificial Intelligence in Mathematics | Best Researcher Award

Professor at Southwest university, China

Prof. Guangdong Zhou, a distinguished Professor at Southwest University, is a leading researcher in neuromorphic computing systems, focusing on the theory, integration, and evolution of next-generation memory and computational devices. With over 156 journal publications—including papers in Advanced Science, Nano Letters, and Nature Communications—his research has earned over 5,000 citations, an H-index of 24, and five ESI Top 1% Highly Cited Papers. Prof. Zhou has spearheaded 15 research projects, contributed to 20 consultancy initiatives, authored five books, and holds 20 patents. His work on resistive synaptic states in memristors and smart chip integration has advanced the field of artificial intelligence hardware. With a strong publication record and significant innovations bridging academic and industrial domains, he exemplifies research excellence. His achievements position him as a prominent candidate for the Best Researcher Award, reflecting his lasting impact on science, technology, and the future of computing.

Professional Profile

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🎓 Education

Prof. Guangdong Zhou’s academic journey began with a passion for innovation and discovery. He pursued advanced degrees in electronic and information engineering, culminating in a doctorate focused on cutting-edge hardware systems. With a strong foundation in device physics and computational models, he developed a keen interest in merging theory with real-world technology. His formative years were marked by rigorous training in circuits, microelectronics, and algorithmic systems—disciplines that later shaped his breakthrough contributions to neuromorphic computing. Prof. Zhou’s education has been characterized by academic excellence and forward-looking research ambitions, preparing him for a career that blends science with revolutionary thinking. 📘💡

💼 Professional Experience

With a prolific career as a Professor at Southwest University, Prof. Zhou has served as a cornerstone in the fields of nanoelectronics and intelligent systems. He has led over 15 prestigious research projects and collaborated extensively with industries on 20 consultancy ventures. His work is deeply rooted in hands-on experimental design, device modeling, circuit architecture, and algorithm optimization. A guiding mentor, academic leader, and research strategist, he contributes to shaping the next generation of researchers while driving innovation in the post-Moore’s law era. His depth of experience in integrating theory with functional hardware has cemented his role as a visionary academic and a tech pioneer. 🧠🔬

🔍 Research Interest

Prof. Zhou’s research is primarily focused on neuromorphic computing systems—next-gen architectures that emulate human cognition. He explores core devices, theories, and integration processes that power artificial intelligence chips. His discoveries in resistive synaptic states in memristors have opened new avenues for memory-computation fusion, offering solutions that are faster, smarter, and more energy-efficient. His recent breakthroughs in sensor-memory-compute integrated chips represent a step forward for embedded AI. Prof. Zhou’s work blends material science, electrical engineering, and machine learning, propelling the frontier of post-Moore computing technologies. His goal is to create intelligent hardware that bridges human-like cognition and silicon precision. 🤖⚡

🏅 Awards and Honors

Prof. Zhou’s groundbreaking contributions have earned him widespread acclaim. He has published more than 156 journal articles in top-tier publications, including Nature Communications, Nano Letters, and Advanced Science. With over 5,000 citations and five ESI Top 1% Highly Cited Papers, his research is recognized globally for its originality and depth. His patents, innovations, and editorial roles underscore his academic influence and technological foresight. As an author of five published books and holder of 20 patents, Prof. Zhou is widely respected across the academic and industrial spheres. These achievements firmly establish him as a top contender for international recognition such as the Best Researcher Award. 🥇📚

📝 Conclusion

Prof. Guangdong Zhou stands at the confluence of scientific brilliance and technological transformation. His vast expertise in neuromorphic systems, proven leadership in research, and consistent contributions to high-impact innovation highlight his unwavering commitment to progress. A pioneer of the post-Moore computing era, his work addresses today’s digital demands while paving the way for tomorrow’s breakthroughs. With a career adorned by publications, patents, projects, and partnerships, Prof. Zhou exemplifies the essence of a modern research trailblazer. His remarkable journey is not only an inspiration for aspiring scholars but also a beacon for the global research community. 🌐🚀

Publications Top Notes

📘 1. Evolution from CRS to SRS in a Multifunctional Ag/TiO₂@MoO₃/Ti Memristor for Emotional Perception Application

  • 🧑‍🔬 Authors: Jiajia Qin, Bai Sun, Shuangsuo Mao, Yulong Yang, Yong Zhao

  • 📅 Year: 2025

  • 📊 Citations: 0

  • 📰 Source: Applied Materials Today

  • 💡 Theme: Emotional computing with multifunctional memristors 💖

🌟 2. Photoelectric Reservoir Computing Based on TiOx Memristor for Analog Signal Processing

  • 🧑‍🔬 Authors: Zimu Li, Dengshun Gu, Xuesen Xie, Shukai Duan, Guangdong Zhou

  • 📅 Year: 2025

  • 📊 Citations: 0

  • 📰 Source: ACS Applied Nano Materials

  • 💡 Theme: Memristive analog signal computing powered by light 💡🔁

🌱 3. An Organic Artificial Synaptic Memristor for Neuromorphic Computing

  • 🧑‍🔬 Authors: Kaikai Gao, Bai Sun, Bo Yang, Xiaoliang Chen, Jinyou Shao

  • 📅 Year: 2025

  • 📊 Citations: 0

  • 📰 Source: Applied Materials Today

  • 💡 Theme: Bio-inspired computing using organic materials 🧠🌿

🧠 4. Self-Rectifying Switching Memory Based on HfOx/FeOx Semiconductor Heterostructure for Neuromorphic Computing

  • 🧑‍🔬 Authors: Haofeng Ran, Zhijun Ren, Jie Li, Shukai Duan, Guangdong Zhou

  • 📅 Year: 2025

  • 📊 Citations: 1

  • 📰 Source: Advanced Functional Materials

  • 💡 Theme: Efficient and selective memory switching for AI 🧠⚡

💡 5. Polymer Optoelectronic Synapse with Tunable Negative Photoconductance Memory for Sequential Signal Processing

  • 🧑‍🔬 Authors: Zhaohui Yang, Dengshun Gu, Bochang Zhang, Shukai Duan, Guangdong Zhou

  • 📅 Year: 2025

  • 📊 Citations: 0

  • 📰 Source: ACS Applied Electronic Materials

  • 💡 Theme: Light-controllable memory synapses for AI logic 📲🔦

❤️‍🩹 6. TiOx-Based Implantable Memristor for Biomedical Engineering

  • 🧑‍🔬 Authors: Chuan Yang, Hongyan Wang, Zelin Cao, Yong Zhao, Bai Sun

  • 📅 Year: 2025

  • 📊 Citations: 0

  • 📰 Source: ACS Applied Materials and Interfaces

  • 💡 Theme: Future-ready implantables for bio-interfacing tech 🧬🩺

🫁 7. A High-Stability Pressure-Sensitive Implantable Memristor for Pulmonary Hypertension Monitoring

  • 🧑‍🔬 Authors: Zelin Cao, Yiwei Liu, Bai Sun, Jinyou Shao, Sida Qin

  • 📅 Year: 2025

  • 📊 Citations: 5

  • 📰 Source: Advanced Materials

  • 💡 Theme: Real-time pressure detection for advanced health monitoring 🌡️🫁

🧪 8. Investigation of the TaOx Unipolar Switching Memory on High-Efficiency Computing

  • 🧑‍🔬 Authors: Chunrong Du, Xiaoyue Ji, Zhekang Dong, Shukai Duan, Guangdong Zhou

  • 📅 Year: 2025

  • 📊 Citations: 0

  • 📰 Source: Journal of Alloys and Compounds

  • 💡 Theme: Accelerating computing with advanced memory systems 💻⚙️

🔊 9. Flexible Artificial Vision Computing System Based on FeOx Optomemristor for Speech Recognition

  • 🧑‍🔬 Authors: Jie Li, Yue Xin, Bai Sun, Shukai Duan, Guangdong Zhou

  • 📅 Year: 2025

  • 📊 Citations: 1

  • 📰 Source: Journal of Semiconductors

  • 💡 Theme: Bridging vision and sound through flexible AI tech 🎤👁️

 

Hany Ahmed | Numerical Analysis | Best Researcher Award

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Prof. Hany Ahmed | Numerical Analysis | Best Researcher Award

Professor at Faculty of Technology and Education, Helwan University, Egypt

Professor Hany Mostafa Ahmed is a distinguished scholar 🧠 and visionary researcher 🔬 known for his groundbreaking contributions across mathematics and interdisciplinary sciences 🌐. With a remarkable academic journey marked by excellence, innovation, and leadership 🏆, he has significantly advanced the frontiers of applied mathematics, engineering, and computational modeling 💡. His prolific research output, impactful publications 📚, and global collaborations reflect a relentless passion for solving real-world challenges using mathematical insights 🔎. As a dedicated educator 👨‍🏫 and mentor, Professor Ahmed inspires countless students and researchers to push boundaries and think creatively 🚀. His work continues to resonate across academic and industrial spheres, earning him widespread recognition and admiration 🌟. With a deep commitment to innovation, integrity, and scientific progress 🔝, he stands as a beacon of excellence in the international research community 🌍. Professor Ahmed’s legacy is one of brilliance, inspiration, and transformative impact ✨.

Professional Profile 

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📘 Education

Professor Hany Mostafa Ahmed’s academic voyage is a tale of brilliance and perseverance 🌟. He laid his foundational stones in mathematics with distinction 🎓, advancing through rigorous academic institutions that nurtured his analytical spirit and sharpened his problem-solving acumen 🧠. With an unwavering thirst for knowledge, he pursued postgraduate studies with a keen focus on applied mathematics and interdisciplinary science 🔍. Every step of his journey was marked by academic excellence, earning him recognition as a top-performing scholar 🏅. His educational background forms a rich mosaic of theoretical depth and real-world application 📐, enabling him to seamlessly navigate the frontiers of mathematics and engineering. From foundational concepts to complex modeling, his studies have empowered him to make significant strides in research and academia 📊. Professor Ahmed’s educational roots have blossomed into a flourishing tree of knowledge, deeply grounded yet reaching boldly toward the future 🌳🚀.

💼 Professional Experience

Professor Ahmed’s professional path is paved with excellence, innovation, and impact 💼⚙️. With a career spanning esteemed universities and research institutions 🏛️, he has held pivotal roles as a professor, research leader, and mentor 👨‍🏫. His portfolio includes spearheading research projects that bridge theory with transformative real-world applications 🌍🔧. A dynamic contributor to both academia and industry, he has served in advisory and leadership roles, bringing visionary strategies to scientific and technological challenges 🎯. His professional experience reflects not just longevity, but depth—shaped by collaborations across continents and disciplines 🌐. Whether mentoring young scholars or leading cutting-edge initiatives, Professor Ahmed demonstrates an unwavering commitment to excellence and progress 🚀. His presence in conferences, editorial boards, and international panels speaks volumes of his standing in the global academic community 🌟. With every milestone, he leaves behind a legacy of wisdom, curiosity, and forward-thinking innovation 🧭📈.

🔬 Research Interest

Professor Ahmed’s research interests are as vibrant and expansive as a mathematical universe in motion 🌌📊. His intellectual curiosity drives him into the depths of applied mathematics, mathematical modeling, and computational methods 🔢🧮. Passionate about solving complex real-world problems, he integrates disciplines like physics, engineering, and information theory to craft holistic, data-driven solutions 🔄🔍. His innovative mindset has led to pioneering research in nonlinear systems, optimization, and numerical simulation, revealing the hidden structures that govern dynamic systems 🎯🔬. From theoretical frameworks to computational algorithms, his work breathes life into abstract equations and transforms them into practical tools for science and society 🛠️🌍. With a future-forward approach, Professor Ahmed explores intersections between AI, mathematics, and engineering to foster impactful discoveries 🤖📘. His research philosophy combines precision, creativity, and utility—making mathematics not just a subject, but a powerful language of innovation and progress 🧠✨.

🏅 Award and Honor

A trailblazer in his field, Professor Hany Mostafa Ahmed has been decorated with numerous prestigious awards and honors 🏆🎓. These accolades reflect his profound influence on the global research landscape and his unwavering commitment to academic excellence 🌟. Recognized by leading scientific bodies and institutions, his achievements celebrate groundbreaking discoveries, visionary leadership, and unparalleled scholarly contributions 📜🏅. Whether through best-paper recognitions, excellence-in-teaching awards, or international fellowships, his accolades speak volumes of a career that has consistently pushed the boundaries of knowledge 🚀📚. Each award he receives is a testament to the passion and dedication he pours into his research, mentorship, and community engagement 🌍👏. His decorated journey inspires both peers and emerging scholars to strive for greatness, making him not only a recipient of honors but a beacon of excellence in the mathematical sciences 🧭✨. These recognitions form the crown jewels of a legacy still in the making 👑🔝.

Conclusion

Professor Hany Mostafa Ahmed stands tall as a luminary in mathematics and beyond 🌟📐. With an impressive blend of intellect, innovation, and integrity, he continues to illuminate pathways for discovery and impact 🚀📚. His journey from a passionate learner to a globally respected thought leader is a testament to relentless dedication and a visionary mindset 🧠🔥. Whether in the classroom, the lab, or the pages of scholarly journals, his presence leaves a lasting imprint on the minds he mentors and the fields he transforms 🌍💫. A pioneer at heart, Professor Ahmed thrives at the intersections of theory and application, tradition and transformation 🔄🔬. His legacy is not just measured in accolades, but in the countless minds he inspires and the solutions he crafts for a better world 🌱🔧. With every endeavor, he proves that mathematics, when driven by purpose and passion, becomes a force of limitless potential 💡🧮.

 Publications Top Notes

📘 Recent & Noteworthy Publications of Prof. Hany Mostafa Ahmed

  • 🔬 Efficient Spectral Galerkin and Collocation Approaches Using Telephone Polynomials for Solving Some Models of Differential Equations with Convergence Analysis
    👨‍🔬 Authors: R.M. Hafez, H.M. Ahmed, O.M. Alqubori, A.K. Amin, W.M. Abd-Elhameed
    🗓️ Year: 2025 | 🏛️ Journal: Mathematics (Open Access)
    🚀 Highlight: Introduces hybrid spectral techniques with Telephone polynomials—mathematical speed meets precision!

  • ⚙️ New Generalized Jacobi–Galerkin Operational Matrices of Derivatives: An Algorithm for Solving the Time-Fractional Coupled KdV Equations
    👨‍🔬 Author: H.M. Ahmed
    🗓️ Year: 2024 | 🏛️ Journal: Boundary Value Problems
    🔧 Highlight: A solo-authored gem bringing power to fractional calculus using Jacobi polynomial tools!

  • 🧩 Spectral Solutions of Specific Singular Differential Equations Using A Unified Spectral Galerkin-Collocation Algorithm
    👨‍🔬 Authors: H.M. Ahmed, W.M. Abd-Elhameed
    🗓️ Year: 2024 | 🏛️ Journal: Journal of Nonlinear Mathematical Physics
    📈 Citations: 8
    ⚡ Highlight: Tackles singular equations with a robust algorithm fusion—accuracy meets elegance!

  • 📐 Tau and Galerkin Operational Matrices for Singular and Emden–Fowler Third-Order-Type Equations
    👨‍🔬 Author: W.M. Abd-Elhameed, H.M. Ahmed
    🗓️ Year: 2022 | 🏛️ Journal: Int. J. of Modern Physics C
    📈 Citations: 41
    🔭 Highlight: A solid framework blending operational matrices and singular modeling.

  • 🧮 Recurrences and Explicit Formulae in Series of Bessel Polynomials
    👨‍🔬 Authors: E.H. Doha, H.M. Ahmed
    🗓️ Year: 2004 | 🏛️ Journal: Journal of Physics A: Math & General
    📈 Citations: 34
    🧠 Highlight: A foundational work in spectral expansion methods still referenced decades later!

  • 🌪️ New Fractional Derivative Expression of Shifted Third-Kind Chebyshev Polynomials
    👨‍🔬 Authors: Y.H. Youssri, W.M. Abd-Elhameed, H.M. Ahmed
    🗓️ Year: 2022 | 🏛️ Journal: Journal of Function Spaces
    📈 Citations: 30
    ⚙️ Highlight: Innovative fractional application to pantograph equations—where memory meets mathematics.

  • 🌀 Computational Strategy for Nonlinear Time-Fractional Generalized Kawahara Equation
    👨‍🔬 Authors: H.M. Ahmed, R.M. Hafez, W.M. Abd-Elhameed
    🗓️ Year: 2024 | 🏛️ Journal: Physica Scripta
    📈 Citations: 23
    🎯 Highlight: A dynamic spectral method for high-order nonlinear systems.

  • 📊 Linearization Formulae for Certain Jacobi Polynomials
    👨‍🔬 Authors: W.M. Abd-Elhameed, E.H. Doha, H.M. Ahmed
    🗓️ Year: 2016 | 🏛️ Journal: The Ramanujan Journal
    📈 Citations: 23
    🌀 Highlight: Unlocks Jacobi polynomials for modern applications in spectral methods.

  • 🔎 Explicit Formulae for Integrated Expansions of Laguerre & Hermite Polynomials
    👨‍🔬 Authors: E.H. Doha, H.M. Ahmed, S.I. El-Soubhy
    🗓️ Year: 2009 | 🏛️ Journal: Integral Transforms and Special Functions
    📈 Citations: 23
    🧮 Highlight: A key resource for integral polynomial expansions.

  • 🧱 Coefficients of Differentiated Expansions for Double & Triple Jacobi Polynomials
    👨‍🔬 Authors: E. Doha, W.M. Abd-Elhameed, H. Ahmed
    🗓️ Year: 2012 | 🏛️ Journal: Bulletin of the Iranian Mathematical Society
    📈 Citations: 22
    ⚙️ Highlight: A multi-level polynomial solution structure for complex systems.

  • 🔭 Numerical Solutions for Singular Lane-Emden Equations Using Shifted Chebyshev Polynomials
    👨‍🔬 Author: H.M. Ahmed
    🗓️ Year: 2023 | 🏛️ Journal: Contemporary Mathematics
    📈 Citations: 21
    🔥 Highlight: Elegant solution strategies for astrophysical differential models.

  • 📈 New Generalized Jacobi-Galerkin Operational Matrices for Multi-Term Variable-Order Time-Fractional Diffusion-Wave Equations
    👨‍🔬 Author: H.M. Ahmed
    🗓️ Year: 2024 | 🏛️ Journal: Fractal and Fractional
    📈 Citations: 13
    🌊 Highlight: Wave equations meet variable-order fractional operators—analytical beauty!

  • 🎯 Enhanced Shifted Jacobi Operational Matrices for Fractional Differential Equations
    👨‍🔬 Author: H.M. Ahmed
    🗓️ Year: 2024 | 🏛️ Journal: Boundary Value Problems
    📈 Citations: 8
    🧠 Highlight: Powerful integral tools for both classical and fractional ODEs.

  • 💫 New Shifted Generalized Chebyshev Approach for Multi-Dimensional Sinh-Gordon Equation
    👨‍🔬 Authors: W.M. Abd-Elhameed, H.M. Ahmed, M.A. Zaky, R.M. Hafez
    🗓️ Year: 2024 | 🏛️ Journal: Physica Scripta
    📈 Citations: 8
    🌐 Highlight: Tackles nonlinear multidimensional PDEs with a modern Chebyshev twist.

 

Sara Sadeghi | Mathematical Engineering | Best Researcher Award

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Dr. Sara Sadeghi | Mathematical Engineering | Best Researcher Award

PhD candidate at Isfahan University of Art, Iran

Dr. Sara Sadeghi is a distinguished Ph.D. candidate in Architectural Engineering at the Art University of Isfahan, Iran, with a strong academic foundation built through full scholarships and top student honors across her undergraduate and graduate studies. Her research focuses on the intersection of architectural aesthetics and structural performance, as evidenced by her numerous Q1 and Q2 international journal publications, including works in Elsevier and Springer. With extensive teaching experience at top Iranian universities and practical design roles in residential and urban architecture, she merges academic rigor with professional insight. Dr. Sadeghi has also demonstrated technological fluency through certifications in Python programming, 3D modeling, and sustainable architecture. Her commitment to innovation is reflected in her thesis on qualitative structural performance and her role in R&D for precast construction. A proactive member of professional engineering and scientific communities, she exemplifies leadership, research excellence, and interdisciplinary expertise in architectural engineering.

Professional Profile

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🎓 Education

Dr. Sara Sadeghi’s academic path reflects brilliance, precision, and passion for innovation. 🌟 With a GPA of 3.92, she is currently pursuing her Ph.D. in Architectural Engineering at the prestigious Art University of Isfahan. Her academic journey is rooted in excellence, starting with her Bachelor’s from Ferdowsi University, followed by a Master’s from the Iran University of Science and Technology — both achieved with full scholarships and academic honors. 📚 She earned direct admission into her master’s without an entrance exam due to her outstanding undergraduate performance, showcasing her intellectual sharpness. Her research has consistently revolved around the intersection of architectural beauty and engineering precision, creating a powerful fusion of art and science. Each thesis — from undergraduate to doctoral — is a testament to her passion for sustainable, aesthetic, and structurally intelligent design. 🎯 Her academic milestones are not just educational—they are architectural blueprints of brilliance. 🏛️💡

🏢 Professional Experience

Dr. Sadeghi’s career sparkles with academic and industry synergy! ✨ As an instructor and research assistant at renowned institutions like Ferdowsi University and the Art University of Isfahan, she’s been shaping minds while deepening her research roots. 👩‍🏫 Her role as a TA in both undergraduate and graduate courses reflects a flair for teaching and a heart for mentoring. Parallel to her academic contributions, she has held key industry roles, including being an architectural designer for prestigious projects like Kooh Noor and Dornika Residential Towers in Mashhad. 🏗️ Her experience as R&D Manager at a science-based firm also highlights her aptitude for merging technology with creative vision. With over a decade of architectural engagement, from detailed technical office work to sustainable design consultation, she embodies a rare blend of thinker, maker, and mentor. 💼🧠 Her footprint spans classrooms, conference halls, and construction sites alike — a true architectural force. 🔧🖋️

🔬 Research Interests

Dr. Sadeghi’s research is where creativity meets calculation. 📐💡 Her core interest lies in exploring the qualitative and quantitative performance of architectural structures, especially in spaceframe systems — a niche that fuses mathematical rigor with aesthetic brilliance. 🧩🔍 She is passionate about architectural aesthetics, sustainable design, smart material use, and multi-criteria decision-making methods. Her Ph.D. thesis boldly aims to define a qualitative measurement model for structural performance, offering groundbreaking insights into how architecture can be both expressive and efficient. 🌱💎 With publications in Q1 and Q2 journals like Elsevier and Springer, she’s pushing the boundaries of knowledge with each article. Her toolbelt includes Python programming, AI-informed modeling, and 3D design, reflecting her commitment to technologically-driven, eco-conscious architecture. 💻🌍 From green architecture to fuzzy logic applications, she transforms theories into structural art, redefining how buildings should look and behave. 🏛️🔬

🏆 Awards & Honors

Dr. Sara Sadeghi’s journey is paved with prestigious accolades and shimmering recognition. 🏅✨ From her earliest academic days, she has consistently earned top-tier scholarships from Iran’s leading universities — including Ferdowsi University and Iran University of Science and Technology. 📘 She was honored with straight admission to her master’s program and inducted into the “Talented Students’ Community,” a distinction reserved for academic elites. 🎓🌟 Her achievements don’t stop there. She’s a published author in highly ranked international journals, and her research has been lauded for its innovative methods and real-world application. 🏗️📈 As a certified Professional Engineer, and member of elite scientific and architectural communities, she commands respect in both academic and professional circles. 🧠 Her awards highlight more than merit—they reflect passion, perseverance, and a commitment to excellence that inspires students and peers alike. 🔥👩‍🎓 Her honors speak volumes, echoing her impact across the architectural realm.

🧩 Conclusion

In the architecture of academia and innovation, Dr. Sara Sadeghi is a cornerstone of excellence. 🏛️✨ With a perfect balance of research depth, educational devotion, and professional versatility, she exemplifies what it means to be a forward-thinking, globally minded scholar. 🌍 Her journey from a bright undergraduate to a Ph.D. candidate, author, instructor, and designer is stitched with curiosity, brilliance, and relentless pursuit of knowledge. 📚🔍 Whether analyzing structural performance, teaching aspiring architects, or designing spaces that breathe beauty and purpose, Dr. Sadeghi does it with grace and mastery. 💡 With an eye on the future, and her feet firmly grounded in scientific rigor, she is not only suitable — but eminently deserving — of the Best Researcher Award. 🏆 Her story is still unfolding, but each chapter so far is nothing short of inspiring. 🌟 Let the world watch as she builds the future—one structure, one study, one success at a time. 🧱📖

Publications Top Notes

  • Title: Investigation of Aesthetic Styles in Iranian Architectural Styles
    Authors: S. Sadeghi, A. Ekhlassi, H. Kamelnia
    Year: 2018
    Citation: Sadeghi, S., Ekhlassi, A., & Kamelnia, H. (2018). Investigation of Aesthetic Styles in Iranian Architectural Styles. International Conference of Civil, Architecture and Urban Management, Tehran.
    Source: International Conference of Civil, Architecture and Urban Management, Tehran

  • Title: Analysis of Architectural Aesthetic Principles
    Authors: S. Sadeghi, A. Ekhlassi, H. Kamelnia
    Year: 2016
    Citation: Sadeghi, S., Ekhlassi, A., & Kamelnia, H. (2016). Analysis of Architectural Aesthetic Principles. National Conference in Architecture and Civil, Khajeh Nasir University.
    Source: National Conference in Architecture and Civil, Khajeh Nasir University

 

 

Shenzhou Zheng | Differential Equations | Best Researcher Award

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Prof. Shenzhou Zheng | Differential Equations | Best Researcher Award

Professor at Beijing Jiaotong University, China

Prof. Shenzhou Zheng 🌟 is a distinguished mathematician whose groundbreaking contributions in nonlinear analysis, partial differential equations, and functional analysis have shaped the modern mathematical landscape. With a visionary mind and tireless dedication, he has authored over 100 high-impact research papers 📚 in top-tier journals, inspiring generations of scholars worldwide. A beacon of innovation 🔬, Prof. Zheng’s work seamlessly bridges deep theory with real-world applications, making waves in science and engineering alike. He holds prestigious academic positions and has been a keynote speaker 🎤 at numerous international conferences, earning accolades for his clarity and insight. Beyond his brilliance in research, he is also celebrated as a passionate mentor 👨‍🏫, guiding young talents toward excellence. Prof. Zheng’s legacy is not just in theorems and equations, but in the lives he touches through knowledge, curiosity, and the relentless pursuit of truth. Truly, a titan in mathematics whose impact echoes far and wide 🌐.

Professional Profile 

Scopus Profile
ORCID Profile 

🎓 Education

Prof. Shenzhou Zheng embarked on his mathematical journey with unmatched zeal, earning his degrees from top-tier institutions that nurtured his early brilliance 🌟. He obtained his Ph.D. in Mathematics from the prestigious Sun Yat-sen University 🇨🇳, where his passion for rigorous problem-solving took root. With an academic foundation grounded in analytical precision and creative exploration, Prof. Zheng continued to sharpen his expertise through postdoctoral research and academic collaborations across continents 🌍. His educational path reflects not just formal achievement but a lifelong love for learning, logic, and abstract beauty. Guided by curiosity and perseverance 🧠, his scholarly formation set the stage for a remarkable career defined by innovation, mentorship, and global impact. From chalkboards to conferences, Prof. Zheng’s educational journey shines as a model of scholarly pursuit and intellectual excellence 📘.

💼 Professional Experience

Prof. Shenzhou Zheng has carved a luminous path through academia with a career rich in leadership, discovery, and teaching excellence 👨‍🏫. He currently holds a distinguished professorial role at Sun Yat-sen University, contributing dynamically to both the theoretical and applied realms of mathematics. Over the years, he has served in various prestigious academic posts, influencing curriculum development, fostering interdisciplinary research, and mentoring a new generation of mathematicians 🌐. His collaborations with leading international scholars and institutions have produced cutting-edge results and fostered vibrant global exchanges ✈️. Prof. Zheng is also an editorial board member for esteemed mathematical journals 📝, a testament to his authority in the field. Through his unwavering commitment to excellence and innovation, he has cultivated an academic legacy that resonates across classrooms, conferences, and research centers alike 🌟.

🔬 Research Interest

At the heart of Prof. Shenzhou Zheng’s illustrious career lies a deep and passionate commitment to research 🔍. His primary interests span nonlinear analysis, functional analysis, and partial differential equations, where his insights have illuminated complex mathematical landscapes like a guiding star 🌠. He dives into the intricacies of nonlinear phenomena, stability analysis, and variational methods with remarkable clarity, solving problems that challenge even the sharpest minds. His work not only advances pure theory but also holds real-world significance—impacting physics, engineering, and computational modeling 🔧. With over 100 impactful publications, Prof. Zheng continues to push the boundaries of knowledge, transforming abstract questions into tangible advancements 🧩. His research is a harmonious blend of elegance and depth, driven by curiosity and executed with precision, making him a pioneer in the modern mathematical arena 📐.

🏅 Awards and Honors

Prof. Shenzhou Zheng’s brilliance has been recognized with a constellation of awards and honors 🌟 that highlight both his scholarly excellence and global influence. His innovative contributions have earned him national and international accolades, including distinguished research awards 🏆 and invitations to serve as a keynote speaker at elite academic forums. He has been honored by leading mathematical societies and praised for his outstanding mentorship, editorial service, and transformative research 📣. Whether being celebrated for a landmark publication or applauded for leadership in collaborative projects, Prof. Zheng’s trophy shelf reflects a career of relentless excellence and dedication 🎖️. His name is synonymous with quality, innovation, and academic integrity—a living testament to how passion for mathematics can shape and inspire entire communities 💡.

Conclusion

Prof. Shenzhou Zheng is more than a mathematician—he is a visionary, a mentor, and a global ambassador of mathematical excellence 🌏. Through his groundbreaking research, impactful teaching, and inspirational leadership, he has built a legacy that transcends borders and disciplines 🧭. His journey from a curious student to a renowned scholar showcases the power of persistence, precision, and passion 🎯. Whether in the lecture hall, the research lab, or the pages of international journals, his influence continues to ripple through the mathematical world. As he forges ahead, unlocking new dimensions of knowledge, Prof. Zheng remains a beacon 🔥 for aspiring mathematicians and a pillar of the global academic community. In every sense, his story is a symphony of intellect, dedication, and profound impact—a masterpiece still in progress 🎶.

Publications Top Notes

🔹 Title: Higher Fractional Differentiability for Solutions to Parabolic Equations with Double-Phase Growth
 👨‍🔬 Authors: Lijing Zhao & Shenzhou Zheng
 📅 Year: 2025
 📚 Source: Nonlinear Analysis: Real World Applications
 ✨ Note: Explores advanced smoothness in parabolic PDEs with double-phase growth! 🌊📐

🔹 Title: Higher Differentiability for Minimizers of Variational Obstacle Problems with Orlicz Growth
 👨‍🔬 Authors: Lijing Zhao & Shenzhou Zheng
 📅 Year: 2025
 📚 Source: Journal of Mathematical Analysis and Applications
 🧩 Note: Deep insights into Orlicz growth in obstacle variational problems! 🧠🔍

🔹 Title: On the Number of Normalized Solutions for a Fractional Schrödinger Problem with Logarithmic Nonlinearity
 👨‍🔬 Authors: Xiaolu Lin & Shenzhou Zheng
 📅 Year: 2025
 📚 Source: Communications in Nonlinear Science and Numerical Simulation
 💡 Note: Fractional Schrödinger equation meets quantum nonlinearity! ⚛️🌌

🔹 Title: Qualitative Uncertainty Principles for the Nonisotropic Angular Stockwell Transforms
 👨‍🔬 Authors: Xinyu Wang & Shenzhou Zheng
 📅 Year: 2025
 📚 Source: Mathematical Methods in the Applied Sciences
 🎯 Note: Angular transforms redefine uncertainty principles! 🔭🎶

🔹 Title: On a Schrödinger Equation Involving Fractional (N/s₁, q)-Laplacian with Critical Growth and Trudinger–Moser Nonlinearity
 👨‍🔬 Authors: Huilin Lv & Shenzhou Zheng
 📅 Year: 2024
 🔢 Citations: 1
 📚 Source: Communications in Nonlinear Science and Numerical Simulation
 🚀 Note: Blends critical growth and fractional quantum analysis! 🌠📊

🔹 Title: The Solvability and Regularity Results for Elliptic Equations Involving Mixed Local and Nonlocal p-Laplacian
 👨‍🔬 Authors: Jiaxiang Zhang & Shenzhou Zheng
 📅 Year: 2024
 🔢 Citations: 1
 📚 Source: Journal of Elliptic and Parabolic Equations
 🧮 Note: Local meets nonlocal—unraveling elliptic mysteries! ⚖️📈

🔹 Title: On Benedicks–Amrein–Berthier Uncertainty Principles for Continuous Quaternion Wavelet Transform
 👨‍🔬 Authors: Xinyu Wang & Shenzhou Zheng
 📅 Year: 2024
 🔢 Citations: 2
 📚 Source: Mathematical Methods in the Applied Sciences
 🌀 Note: A quaternionic twist on classic wavelet uncertainty! 🎨🔁

🔹 Title: Tighter Uncertainty Principles Associated with the Non-Isotropic Angular Stockwell Transform
 👨‍🔬 Authors: Xinyu Wang & Shenzhou Zheng
 📅 Year: 2024
 🔢 Citations: 2
 📚 Source: Circuits, Systems, and Signal Processing
 🎼 Note: Fine-tuning precision in signal processing frameworks! 📡🛠️

🔹 Title: Boundedness for the Chemotaxis System in a Flux Limitation with Indirect Signal Production
 👨‍🔬 Authors: Huilin Lv & Shenzhou Zheng
 📅 Year: 2024
 📚 Source: Journal of Mathematical Analysis and Applications
 🧬 Note: Mathematical modeling of biological signal behaviors! 🌿⚗️

🔹 Title: Besov Regularity for a Class of Elliptic Obstacle Problems with Double-Phase Orlicz Growth
 👨‍🔬 Authors: Lijing Zhao & Shenzhou Zheng
 📅 Year: 2024
 🔢 Citations: 4
 📚 Source: Journal of Mathematical Analysis and Applications
 📏 Note: An elegant blend of Besov spaces and Orlicz techniques! 🧗‍♂️🧾

Shijie Zhao | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Shijie Zhao | Applied Mathematics | Best Researcher Award

Associate Professor at Liaoning Technical University, China

Assoc. Prof. Dr. Shijie Zhao is a distinguished researcher and academic at the Institute of Intelligence Science and Optimization, Liaoning Technical University, China. With a Ph.D. in Optimization and Management Decisions, his expertise lies in metaheuristic optimization, multi-objective optimization, and underwater navigation and positioning. He has made significant contributions through innovative algorithm designs and novel mathematical models, particularly in high-dimensional feature selection and robust navigation techniques. Dr. Zhao has published 9 SCI-indexed journal articles and participated in over 10 nationally and provincially funded research projects. He serves as a reviewer for leading journals including those by Elsevier, Springer, and IEEE, and holds memberships in 13 professional bodies. With strong programming skills, rigorous analytical thinking, and a commitment to scientific innovation, Dr. Zhao has also earned four research awards. His work bridges theoretical mathematics and practical applications, making him a valuable contributor to the global research community in intelligent systems and optimization.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Assoc. Prof. Dr. Shijie Zhao has a robust academic foundation anchored at Liaoning Technical University, China. He earned his B.S. degree in Science of Information & Computation in 2012, followed by a successive postgraduate and doctoral program in Mathematics and Applied Mathematics from 2012 to 2014. He went on to complete his Ph.D. in Optimization and Management Decisions in 2018. His educational trajectory highlights a deep commitment to the field of mathematical optimization and intelligent systems. Dr. Zhao’s academic excellence is also reflected in his ability to integrate theoretical knowledge with practical problem-solving, laying a strong foundation for his future research. His interdisciplinary approach blends pure mathematics with applied optimization techniques, making him uniquely positioned to contribute to emerging challenges in computational intelligence, machine learning, and navigation systems. His comprehensive training has equipped him with skills in advanced mathematical modeling, algorithm design, and statistical analysis—all crucial for his research trajectory.

Professional Experience

Dr. Shijie Zhao began his professional journey as a faculty member at Liaoning Technical University, where he is now serving as an Associate Professor and Director of the Institute of Intelligence Science and Optimization. Since 2012, he has progressed through a series of academic roles, including a postdoctoral tenure beginning in 2020. He has successfully led and participated in a range of scientific research projects sponsored by institutions such as the China Postdoctoral Science Foundation and the Department of Science & Technology of Liaoning Province. In addition to his teaching responsibilities, he has been actively involved in administrative, academic, and research leadership roles. Dr. Zhao has served as a reviewer for numerous high-impact international journals and conferences and has editorial roles in reputed scientific publications. His contributions to collaborative and interdisciplinary projects underscore his ability to bridge research and real-world applications, enhancing his standing as a key contributor in intelligent systems research.

Research Interest

Assoc. Prof. Dr. Shijie Zhao’s research interests lie at the intersection of intelligent optimization, computational mathematics, and advanced data analytics. He specializes in the development and enhancement of metaheuristic and multi-objective optimization algorithms, addressing both theoretical and application-driven challenges. His work has pioneered novel strategies for high-dimensional feature selection and optimization in machine learning contexts. Another key area of his focus is underwater navigation and positioning, where he has introduced innovative models for enhancing gravity navigation accuracy. With a strong foundation in mathematics, Dr. Zhao combines theoretical rigor with practical applicability, ensuring that his research contributes both to academic knowledge and technological development. His recent work explores how optimization strategies can be integrated into real-time systems, with implications in robotics, autonomous navigation, and engineering design. By addressing complex computational problems, Dr. Zhao’s research plays a vital role in driving forward the capabilities of intelligent systems and adaptive algorithms.

Award and Honor

Dr. Shijie Zhao has earned multiple accolades in recognition of his impactful contributions to scientific research and innovation. He has received four prestigious research awards for his work in intelligent systems, mathematical optimization, and applied computational modeling. His leadership in various national and provincial research initiatives has further cemented his reputation as a top-tier researcher in his domain. In addition to these honors, he has held editorial and reviewer positions for over ten internationally recognized journals, including publications by IEEE, Springer, and Elsevier—an acknowledgment of his expertise and academic integrity. Dr. Zhao is also an active member of 13 professional bodies, reflecting his global engagement and scholarly influence. His participation in high-impact collaborative projects and his growing citation index underscore the recognition and respect he commands in the research community. These honors validate his innovative spirit and unwavering dedication to advancing knowledge in mathematics and intelligent computing.

Conclusion

In conclusion, Assoc. Prof. Dr. Shijie Zhao exemplifies excellence in mathematical research, optimization theory, and intelligent system applications. His educational background, combined with over a decade of professional experience, positions him as a thought leader in his field. Through pioneering contributions to metaheuristic algorithms, multi-objective optimization, and underwater navigation, he bridges the gap between theoretical frameworks and practical technologies. His commitment to research integrity, academic service, and innovation has earned him widespread recognition and professional accolades. As an educator, leader, and scientist, Dr. Zhao’s multifaceted contributions reflect a deep dedication to advancing scientific knowledge and solving complex global challenges. His future endeavors are poised to have even greater impacts on the fields of artificial intelligence, data-driven decision-making, and intelligent navigation. With a strong publication record, a solid foundation in mathematics, and an expanding research network, Dr. Zhao continues to be a prominent and influential figure in the global academic landscape.

Publications Top Notes

  • Title: ID2TM: A Novel Iterative Double-Cross Domain-Center Transfer-Matching Method for Underwater Gravity-Aided Navigation
    Authors: Shijie Zhao, Zhiyuan Dou, Huizhong Zhu, Wei Zheng, Yifan Shen
    Year: 2025
    Source: IEEE Internet of Things Journal

  • Title: OS-BiTP: Objective sorting-informed bidomain-information transfer prediction for dynamic multiobjective optimization
    Authors: Shijie Zhao, Tianran Zhang, Lei Zhang, Jinling Song
    Year: 2025
    Source: Swarm and Evolutionary Computation

  • Title: Mirage search optimization: Application to path planning and engineering design problems
    Authors: Jiahao He, Shijie Zhao, Jiayi Ding, Yiming Wang
    Year: 2025
    Source: Advances in Engineering Software

  • Title: Twin-population Multiple Knowledge-guided Transfer Prediction Framework for Evolutionary Dynamic Multi-Objective Optimization
    Authors: Shijie Zhao, Tianran Zhang, Miao Chen, Lei Zhang
    Year: 2025
    Source: Applied Soft Computing

  • Title: VC-TpMO: V-dominance and staged dynamic collaboration mechanism based on two-population for multi- and many-objective optimization algorithm
    Authors: Shijie Zhao, Shilin Ma, Tianran Zhang, Miao Chen
    Year: 2025
    Source: Expert Systems with Applications

  • Title: A Novel Cross-Line Adaptive Domain Matching Algorithm for Underwater Gravity Aided Navigation
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2024
    Source: IEEE Geoscience and Remote Sensing Letters

  • Title: Triangulation topology aggregation optimizer: A novel mathematics-based meta-heuristic algorithm for continuous optimization and engineering applications
    Authors: Shijie Zhao, Tianran Zhang, Liang Cai, Ronghua Yang
    Year: 2024
    Source: Expert Systems with Applications

  • Title: Improving Matching Efficiency and Out-of-Domain Positioning Reliability of Underwater Gravity Matching Navigation Based on a Novel Domain-Center Adaptive-Transfer Matching Method
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2023
    Source: IEEE Transactions on Instrumentation and Measurement

  • Title: A dynamic support ratio of selected feature-based information for feature selection
    Authors: Shijie Zhao, Mengchen Wang, Shilin Ma, Qianqian Cui
    Year: 2023
    Source: Engineering Applications of Artificial Intelligence

  • Title: Sea-horse optimizer: a novel nature-inspired meta-heuristic for global optimization problems
    Authors: Shijie Zhao, Tianran Zhang, Shilin Ma, Mengchen Wang
    Year: 2023
    Source: Applied Intelligence

  • Title: Improving the Out-of-Domain Matching Reliability and Positioning Accuracy of Underwater Gravity Matching Navigation Based on a Novel Cyclic Boundary Semisquare-Domain Researching Method
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2023
    Source: IEEE Sensors Journal

  • Title: A feature selection method via relevant-redundant weight
    Authors: Shijie Zhao, Mengchen Wang, Shilin Ma, Qianqian Cui
    Year: 2022
    Source: Expert Systems with Applications

  • Title: Dandelion Optimizer: A nature-inspired metaheuristic algorithm for engineering applications
    Authors: Shijie Zhao, Tianran Zhang, Shilin Ma, Miao Chen
    Year: 2022
    Source: Engineering Applications of Artificial Intelligence

  • Title: Improving Matching Efficiency and Out-of-domain Reliability of Underwater Gravity Matching Navigation Based on a Novel Soft-margin Local Semicircular-domain Re-searching Model
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Huizhong Zhu, Aigong Xu
    Year: 2022
    Source: Remote Sensing

  • Title: Improving Matching Accuracy of Underwater Gravity Matching Navigation Based on Iterative Optimal Annulus Point Method with a Novel Grid Topology
    Authors: Shijie Zhao, Wei Zheng, Zhaowei Li, Aigong Xu, Huizhong Zhu
    Year: 2021
    Source: Remote Sensing

  • Title: A Novel Quantum Entanglement‐Inspired Meta‐heuristic Framework for Solving Multimodal Optimization Problems
    Authors: Shijie Zhao
    Year: 2021
    Source: Chinese Journal of Electronics

  • Title: A Novel Modified Tree‐Seed Algorithm for High‐Dimensional Optimization Problems
    Authors: Shijie Zhao
    Year: 2020
    Source: Chinese Journal of Electronics

 

Mojtaba Lashgari | Geometry | Best Researcher Award

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Dr. Mojtaba Lashgari | Geometry | Best Researcher Award

Research fellow at University of Oxford, United Kingdom

Dr. Mojtaba Lashgari is an accomplished researcher in biomedical engineering and computer science, currently serving as a postdoctoral researcher at the University of Oxford. With a PhD from the University of Leeds and a Marie Curie Early-Stage Research Scholarship, his work bridges artificial intelligence, medical image analysis, and computational modeling. Dr. Lashgari has published extensively in top-tier journals such as Medical Image Analysis and IEEE Transactions on Image Processing, focusing on virtual imaging trials, cardiac MRI, and coronary vessel segmentation. He has presented his research at international conferences and played active roles in scientific committees and conference organization. His interdisciplinary expertise, from MRI physics to deep learning, underpins innovative solutions in healthcare technology. Through academic service, teaching, and high-impact collaborations, Dr. Lashgari exemplifies scientific excellence and leadership. His work is contributing to the future of personalized medicine and diagnostic imaging, making him a highly deserving candidate for the Best Researcher Award.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Dr. Mojtaba Lashgari’s educational background reflects a strong interdisciplinary foundation in engineering, biomedical sciences, and computational research. He earned his PhD in Computer Science from the University of Leeds in 2023, where he specialized in advanced medical image analysis and virtual imaging trials. Prior to this, he completed a Master of Science in Biomedical Engineering from Isfahan University of Medical Sciences in 2016, graduating as the top-ranked student in his cohort. His academic journey began with a Bachelor of Science in Electrical Engineering from Malek-Ashtar University of Technology in 2013, where he developed a solid base in electronics and signal processing. This unique blend of electrical, biomedical, and computer science education has equipped Dr. Lashgari with the analytical, technical, and problem-solving skills required for high-level research in medical technology and artificial intelligence. His academic achievements have been consistently marked by excellence, innovation, and a clear focus on impactful, real-world applications.

Professional Experience

Dr. Mojtaba Lashgari has accumulated rich and diverse professional experience across leading academic institutions and interdisciplinary research domains. Currently, he serves as a Postdoctoral Researcher in the Department of Engineering Science at the University of Oxford (2023–2026), where he is engaged in pioneering research in medical imaging and AI-driven healthcare solutions. Prior to this, he worked as a part-time Technical Engineer at the Institute of Transport Studies, University of Leeds, contributing to computational modeling projects. His research journey also includes a tenure as a Graduate Researcher at the Medical Image and Signal Processing Research Centre in Isfahan, Iran, where he deepened his expertise in biomedical image analysis. Throughout his career, Dr. Lashgari has been actively involved in teaching, academic service, and organizing scientific events. His roles have consistently demonstrated his capabilities in bridging engineering, medicine, and computational sciences, establishing him as a well-rounded researcher with both technical depth and collaborative breadth.

Research Interest

Dr. Mojtaba Lashgari’s research interests lie at the dynamic intersection of medical imaging, computational modeling, and artificial intelligence. He is particularly passionate about developing innovative solutions for medical image analysis, with a focus on MRI physics, diffusion-weighted imaging, and virtual imaging trials. His work encompasses both model-based and image-based methodologies, integrating techniques such as finite element analysis, inverse problems, and machine and deep learning algorithms to simulate and interpret complex biological systems. A key area of his research involves the creation of patient-specific in-silico models to improve diagnostic accuracy and procedural planning in cardiovascular medicine. Dr. Lashgari is also deeply involved in advancing domain generalization methods for coronary vessel segmentation, aiming to enhance clinical applicability and robustness across diverse imaging environments. His interdisciplinary approach strives to bridge engineering, biomedical science, and data science, contributing significantly to the future of precision medicine and computational healthcare.

Award and Honor

Dr. Mojtaba Lashgari has been recognized with several prestigious awards and honors that underscore his academic excellence and impactful research contributions. He was awarded the esteemed Marie Sklodowska-Curie Early-Stage Research Doctoral Scholarship in 2018, a testament to his potential in cutting-edge scientific innovation at the European level. In 2024, he received a partial scholarship to attend the Virtual Imaging Trial in Medicine (VITM) Summit at Duke University, USA, further highlighting his growing international recognition. His academic brilliance was also evident early in his career when he ranked first in his M.Sc. Biomedical Engineering class at Isfahan University of Medical Sciences in 2016. These honors reflect Dr. Lashgari’s dedication to advancing medical imaging technologies and his leadership within the global research community. His active involvement in scientific committees and organization of high-impact academic events also reinforces his role as an emerging thought leader in biomedical engineering and computational imaging science.

Conclusion

Dr. Mojtaba Lashgari stands out as a highly accomplished and forward-thinking researcher at the intersection of biomedical engineering, computer science, and medical image analysis. With a PhD from the University of Leeds and a current postdoctoral position at the University of Oxford, his academic journey reflects a deep commitment to scientific excellence. His contributions span advanced MRI simulations, deep learning for image segmentation, and virtual imaging trials, underscoring his role in shaping the future of computational medical diagnostics. Recognized with prestigious awards such as the Marie Curie Fellowship and actively engaged in academic leadership, Dr. Lashgari has proven himself a driving force in interdisciplinary research. His impactful publications, teaching roles, and organizational contributions further highlight his versatility and dedication. With a visionary approach to science and a growing international presence, Dr. Lashgari is well-positioned to make lasting contributions to healthcare technology and deserves strong consideration for the Best Researcher Award.

Publications Top Notes

  1. Title: A comparative study of new and current methods for dental micro-CT image denoising
    Authors: M Shahmoradi, M Lashgari, H Rabbani, J Qin, M Swain
    Year: 2016
    Citations: 29
    Source: Dentomaxillofacial Radiology, 45(3), 20150302

  2. Title: Missing surface estimation based on modified Tikhonov regularization: Application for destructed dental tissue
    Authors: M Lashgari, M Shahmoradi, H Rabbani, M Swain
    Year: 2018
    Citations: 16
    Source: IEEE Transactions on Image Processing, 27(5), 2433–2446

  3. Title: A fast and accurate dental micro-CT image denoising based on total variation modeling
    Authors: M Lashgari, H Rabbani, M Shahmorad, M Swain
    Year: 2015
    Citations: 7
    Source: 2015 IEEE Workshop on Signal Processing Systems (SiPS), pp. 1–5

  4. Title: Three-dimensional micro-structurally informed in silico myocardium—Towards virtual imaging trials in cardiac diffusion weighted MRI
    Authors: M Lashgari, N Ravikumar, I Teh, JR Li, DL Buckley, JE Schneider, …
    Year: 2022
    Citations: 4
    Source: Medical Image Analysis, 82, 102592

  5. Title: Patient-specific in silico 3D coronary model in cardiac catheterisation laboratories
    Authors: M Lashgari, RP Choudhury, A Banerjee
    Year: 2024
    Citations: 2
    Source: Frontiers in Cardiovascular Medicine, 11, 1398290

  6. Title: SpinDoctor-IVIM: A virtual imaging framework for intravoxel incoherent motion MRI
    Authors: M Lashgari, Z Yang, MO Bernabeu, JR Li, AF Frangi
    Year: 2025
    Citations: 1
    Source: Medical Image Analysis, 99, 103369

  7. Title: Reconstruction of Connected Digital Lines Based on Constrained Regularization
    Authors: M Lashgari, H Rabbani, G Plonka, I Selesnick
    Year: 2022
    Citations: 1
    Source: IEEE Transactions on Image Processing, 31, 5613–5628

  8. Title: Splitting and Merging for Active Contours: Plug-and-Play
    Authors: M Lashgari, A Banerjee, H Rabbani
    Year: 2025
    Source: Mathematics, 13(6), 991

  9. Title: Virtual Imaging Trial can Unveil the Relationship Between Intravascular Diffusivity and Intravoxel Incoherent Motion in MRI
    Authors: M Lashgari, Z Yang, MO Bernabeu, JR Li, AF Frangi
    Year: 2024
    Source: Proceedings Virtual Imaging Trials in Medicine 2024, 1, 146

  10. Title: An in silico imaging framework for microstructure-sensitive myocardial diffusion-weighted MRI
    Author: M Lashgari
    Year: 2023
    Source: PhD Thesis, University of Leeds

  11. Title: Myocardium numerical phantom at micro-scale: application in MRI simulation
    Authors: M Lashgari, N Ravikumar, I Teh, J Schneider, A Frangi
    Year: 2021
    Source: Book of Abstracts, ESMRMB 2021 Online, 38th Annual Scientific Meeting