Full Professor at Mohammed V University, Morocco

Dr. Badr Abou El Majd is a distinguished Professor of Applied Mathematics at Mohammed V University, Rabat, with extensive expertise in multidisciplinary optimization, shape design, AI-driven modeling, and computational engineering. Holding a Ph.D. from INRIA Sophia Antipolis and a Master’s from Pierre and Marie Curie University, his research spans aerospace, transportation, smart systems, and biomedical applications. He has authored over 80 peer-reviewed publications, edited scientific volumes, and holds several patents. As a leader in numerous international research projects and conferences, including EU Erasmus+ and IEEE events, Dr. Abou El Majd has demonstrated remarkable scientific leadership. His contributions to innovation, education, and cross-border collaboration are further recognized through awards like the Distinguished Scholar Award (2023–24), making him a pivotal figure in advancing research that bridges theory, technology, and real-world societal needs

Professional Profile

Google Scholar | Scopus Profile

Education

Dr. Badr Abou El Majd holds a Ph.D. in Applied Mathematics from INRIA Sophia Antipolis – Méditerranée, France (2007), where he specialized in hierarchical algorithms and game strategies for multidisciplinary optimization, with applications in aerospace design. His doctoral work was conducted in collaboration with Dassault Aviation and Piaggio Aero, demonstrating strong industrial-academic integration. He also earned a Master’s degree in Numerical Analysis from Pierre and Marie Curie University (UPMC – Paris 6), one of Europe’s leading institutions in mathematical sciences. His early academic path was marked by a strong foundation in computational mathematics, optimization, and numerical modeling. These formative years provided the analytical and algorithmic rigor that continues to define his research contributions across disciplines such as aerospace engineering, smart systems, and data-driven decision-making.

Experience

With over two decades of academic and research experience, Dr. Abou El Majd has held prominent roles in Morocco and internationally. He is currently a Full Professor at Mohammed V University, Rabat. Previously, he served as an Associate Professor at both the International University of Rabat and Hassan II University in Casablanca. His international exposure includes visiting and research positions at INRIA Lille, University of Lille, and Polytechnique Montréal. He also worked as a scientist researcher at École Centrale Paris and completed post-doctoral research at CNRS/ENSMA. He has led and coordinated large-scale research and tech-transfer projects involving multiple institutions, government bodies, and industry leaders. This broad experience has enabled him to seamlessly bridge academic theory, industrial application, and international collaboration in fields ranging from aerospace to smart agriculture.

Research Interests

Dr. Abou El Majd’s research is deeply rooted in applied mathematics and multidisciplinary optimization, with expansive interests spanning aerodynamic shape design, robust optimization, artificial intelligence, model reduction, decision-making systems, and digital twin frameworks. He actively explores how machine learning, game theory, and numerical methods can be applied to real-world engineering and societal problems. His work spans diverse domains including aerospace design, RFID networks, cognitive radio, smart agriculture, biomedical imaging, and manufacturing optimization. Through his research, he aims to solve high-dimensional, complex optimization problems while ensuring scalability and industrial relevance. He has recently focused on surrogate modeling, AutoML, and intelligent systems for healthcare diagnostics and infrastructure planning, reflecting a strong commitment to leveraging computational science for impactful, cross-disciplinary solutions.

Award and Honor

Dr. Abou El Majd’s contributions to science and innovation have earned him several prestigious honors. Most notably, he received the Distinguished Scholar Award (2023–24) from the Arab Fund for Economic and Social Development, in collaboration with the University of Lille—an acknowledgment of his outstanding research achievements and academic leadership. Earlier, his doctoral studies were supported by a competitive scholarship from Dassault Aviation and Piaggio Aero, underscoring the industrial relevance of his research. He has also secured major research grants from Erasmus+, CNRST Morocco, TUBITAK Turkey, and the OCP Foundation, amounting to several million dirhams. These accolades reflect not only the scientific merit of his work but also its strategic importance in fields such as transportation, defense, AI, and healthcare systems optimization.

Research Skills

Dr. Abou El Majd possesses a robust and diverse skill set spanning numerical optimization, algorithm design, scientific programming, and AI integration. He is proficient in developing multilevel optimization frameworks, parameterization techniques, and model reduction strategies. His capabilities extend to software architecture, cloud platform development, and AI-enhanced decision systems. He has implemented and applied methods like genetic algorithms, particle swarm optimization, and POD-based reduced-order modeling. His technical expertise is complemented by certifications in Business Intelligence (IBM), Big Data Analytics (Griffith University), and Artificial Intelligence (Accenture). His ability to lead multidisciplinary teams and integrate computational techniques with industrial challenges makes him an effective innovator and collaborator. He also brings strong experience in simulation, CFD, robust design, and real-time optimization across diverse technological sectors.

Publication Top Notes

Title: Calibration of POD Reduced‐Order Models Using Tikhonov Regularization
Authors: L. Cordier, B. Abou El Majd, J. Favier
Year: 2010
Citations: 183
Title: Nested and Self-Adaptive Bézier Parameterizations for Shape Optimization
Authors: J.A. Désidéri, B. Abou El Majd, A. Janka
Year: 2007
Citations: 90
Title: A Particle Swarm Optimization Based Algorithm for Primary User Emulation Attack Detection
Authors: W.F. Fihri, Y. Arjoune, H. El Ghazi, N. Kaabouch, B. Abou El Majd
Year: 2018
Citations: 34
Title: Multilevel Strategies for Parametric Shape Optimization in Aerodynamics
Authors: B. Abou El Majd, J.A. Désidéri, R. Duvigneau
Year: 2008
Citations: 28
Title: Deep Learning-Based Intrusion Detection System for Advanced Metering Infrastructure
Authors: Z. El Mrabet, M. Ezzari, H. Elghazi, B.A. El Majd
Year: 2019
Citations: 24
Title: Primary User Emulation Attacks: A Detection Technique Based on Kalman Filter
Authors: Z.E. Mrabet, Y. Arjoune, H.E. Ghazi, B.A.A. Majd, N. Kaabouch
Year: 2018
Citations: 23
Title: Embedding Lattice Structures into Ship Hulls for Structural Optimization and Additive Manufacturing
Authors: A. Armanfar, A.A. Tasmektepligil, R.T. Kilic, S. Demir, S. Cam, Y. Karafi, B.A. El Majd, et al.
Year: 2024
Citations: 20
Title: Bayesian Decision Model with Trilateration for Primary User Emulation Attack Localization in Cognitive Radio Networks
Authors: W.F. Fihri, H. El Ghazi, N. Kaabouch, B.A. El Majd
Year: 2017
Citations: 20
Title: Homogenization of Periodic Structured Materials with Chiral Properties
Authors: O. Ouchetto, B.A. El Majd, H. Ouchetto, B. Essakhi, S. Zouhdi
Year: 2016
Citations: 20
Title: Aerodynamic Shape Optimization Using a Full and Adaptive Multilevel Algorithm
Authors: B. Abou El Majd, R. Duvigneau, J.A. Désidéri
Year: 2006
Citations: 20
Title: LSTM-Based Neural Network Architecture for Predicting the Nonlinear Dynamic Behavior of Functional Gradient Viscoelastic Porous Plates
Year: 2025
Citations: 1
Title: Robust Shape Optimization Using Artificial Neural Networks Based Surrogate Modeling for an Aircraft Wing
Year: 2024
Citations: 2

Conclusion

Dr. Badr Abou El Majd exemplifies the modern researcher—analytically rigorous, deeply interdisciplinary, and globally connected. With a rich academic background, impactful research portfolio, and broad leadership experience, he stands as a leading figure in applied mathematics and computational engineering. His ability to bridge theoretical models with industrial and societal needs—through projects in aerospace, healthcare, and smart systems—demonstrates both vision and practical utility. Through international collaborations, patents, high-impact publications, and mentorship roles, he continues to shape emerging research frontiers. His blend of technical depth, strategic leadership, and commitment to innovation make him not only a deserving recipient of high research honors but also a catalyst for future scientific and technological advancements in global contexts.

Sina Safari | Mathematical Modeling | Best Researcher Award

Posted on 22/07/202522/07/2025 by Math Scientist

Dr. Sina Safari | Mathematical Modeling | Best Researcher Award

Senior research associate at University of Bristol, United Kingdom

Dr. Sina Safari 🎓 is a dynamic Senior Research Associate in Data Science for Material Engineering at the University of Bristol 🇬🇧, specializing in nonlinear dynamics, structural integrity, and AI/ML applications in engineering 💡🤖. With a Ph.D. in Dynamics and Control from the University of Exeter and a Global Talent Visa, he has authored numerous impactful publications 📚 in top-tier journals and conferences. His research integrates physics-informed machine learning, multiscale modeling, and fatigue testing to address real-world engineering challenges 🔬⚙️. A passionate educator 👨‍🏫 and Associate Fellow of the Higher Education Academy, he has also contributed to multiple high-profile research projects including SINDRI and ADDISONIC partnerships. Dr. Safari’s international collaborations, innovation in structural modeling, and leadership in research bids make him a rising force in computational and experimental mechanics 🌍🏗️.

Professional Profile

Google Scholar
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ORCID Profile

🎓 Education

Dr. Sina Safari holds a Ph.D. in Dynamics and Control from the University of Exeter, UK 🇬🇧, where his research focused on data-driven, physics-informed modeling of nonlinear dynamical systems from vibration data 📈🔬. Prior to this, he earned an M.S. in Hydraulic Structures from the University of Tabriz, Iran 🇮🇷, where he specialized in vibration control and fluid-structure interaction 🌊🏗️. He also holds a B.S. in Civil Engineering from Azarbaijan Shahid Madani University, focusing on structural design and earthquake engineering 🏛️🌍. His academic journey showcases a solid foundation in structural mechanics, coupled with advanced analytical techniques and interdisciplinary knowledge, preparing him for high-level research in modern mechanical and civil engineering domains. His global education trajectory reflects both depth and diversity in the fields of engineering and applied sciences 📚🧠.

💼 Professional Experience

Dr. Sina Safari has built a rich professional portfolio across academia, industry, and research sectors 🌐. Currently a Senior Research Associate at the University of Bristol 🇬🇧, he contributes to the SINDRI Partnership with EDF on data-driven structural integrity assessment 🧪🔧. Previously, he served as a postdoctoral researcher at Bournemouth University, leading fellowship bids and industrial consultancy projects. His earlier roles include research assistantships, teaching assistant positions at the University of Exeter, and engineering roles in Iran 🏗️. From MATLAB instruction to technical site engineering and structural design, his career spans hands-on construction to high-impact computational research. With consistent involvement in collaborative, cross-disciplinary environments, Dr. Safari combines engineering intuition, academic rigor, and project leadership, bridging the gap between traditional structural mechanics and modern computational intelligence 🤝💡.

🔬 Research Interests

Dr. Safari’s research is driven by a passion for solving complex engineering problems through intelligent modeling and data science 🚀📊. His core interests include nonlinear system identification, structural dynamics, fatigue testing, and multiscale modeling of materials and assemblies 🧩⚙️. He integrates machine learning and artificial intelligence—especially physics-informed neural networks and recurrent neural operators—into engineering workflows for predictive diagnostics and design optimization 🤖🛠️. Additionally, he works on shape optimization, vibration-based structural health monitoring, and uncertainty quantification of bolted joints. His research aligns with pressing challenges in aerospace, nuclear, and civil sectors, contributing toward digital twins and smart engineering systems. With a balance of experimental insight and data-driven innovation, Dr. Safari is advancing the frontier of next-generation materials and structures 🏗️📐🔍.

🏅 Awards and Honors

Dr. Sina Safari was awarded a fully funded Ph.D. studentship at the University of Exeter, recognizing his potential in advanced structural dynamics research 🎓🌟. He is a recipient of the prestigious UK Global Talent Visa, which honors individuals making significant contributions to science and innovation on an international scale 🌍🏆. His selection as a key researcher within UK-funded initiatives like the SINDRI and ADDISONIC projects reflects peer recognition of his scientific excellence and leadership. Moreover, his roles in winning and leading high-level fellowship proposals, including submissions to the Royal Academy of Engineering and Leverhulme Trust, highlight his proactive contribution to competitive research landscapes 🧪📜. These accolades underscore Dr. Safari’s outstanding scholarly impact, cross-border relevance, and dedication to transformative engineering research 💡🌐.

🛠️ Research Skills

Dr. Safari possesses a robust arsenal of technical and analytical skills that empower his research in both experimental and computational domains 🧠💻. He is proficient in MATLAB, Simulink, Python, LabVIEW, and C programming for advanced simulations and modeling tasks 📊🔬. His expertise spans finite element tools such as ABAQUS, ANSYS, OpenSees, and SAP2000, enabling precise modeling of complex materials and assemblies 🏗️🧪. Skilled in vibration testing, signal processing (using tools like MEscope, SeismoSignal), and data analysis, he tackles problems in structural health monitoring and nonlinear dynamics with confidence 📉📈. His experience also includes digital image correlation, machine learning implementation, and optimization techniques for structural design. With strong communication and collaborative research project management, Dr. Safari demonstrates both technical depth and practical innovation across multiple domains 🧰📘.

📝Publications Top Note

Parametric Study of Stochastic Seismic Responses of Base-Isolated Liquid Storage Tanks under Near-Fault and Far-Fault Ground Motions
Authors: S. Safari, R. Tarinejad
Year: 2018
Citations: 38
Published in: Journal of Vibration and Control, Vol. 24, Issue 24, pp. 5747–5764
Estimation of Inelastic Displacement Ratio for Base-Isolated Structures
Authors: S. Yaghmaei-Sabegh, S. Safari, K.A. Ghayouri
Year: 2018
Citations: 28
Published in: Earthquake Engineering & Structural Dynamics, Vol. 47, Issue 3, pp. 634–659
Direct Optimisation-Based Model Selection and Parameter Estimation Using Time-Domain Data for Identifying Localised Nonlinearities
Authors: S. Safari, J.M.L. Monsalve
Year: 2021
Citations: 19
Published in: Journal of Sound and Vibration, Vol. 501, Article 116056
Data-Driven Structural Identification of Nonlinear Assemblies: Structures with Bolted Joints
Authors: S. Safari, J.M.L. Monsalve
Year: 2023
Citations: 18
Published in: Mechanical Systems and Signal Processing, Vol. 195, Article 110296
Characterization of Ductility and Inelastic Displacement Demand in Base-Isolated Structures Considering Cyclic Degradation
Authors: S. Yaghmaei-Sabegh, S. Safari, K.A. Ghayouri
Year: 2019
Citations: 18
Published in: Journal of Earthquake Engineering, Vol. 23, Issue 4, pp. 557–591
Benchmarking of Optimisation Methods for Model Selection and Parameter Estimation of Nonlinear Systems
Authors: S. Safari, J.L. Monsalve
Year: 2021
Citations: 4
Published in: Vibration, Vol. 4, Issue 3, pp. 648–665
Nonlinear Function Selection and Parameter Estimation of Structures with Localised Nonlinearities – Part I: Numerical Analysis
Authors: S. Safari, J.M.L. Monsalve
Year: 2020
Citations: 3
Published in: Nonlinear Structures and Systems, Proceedings of the 38th IMAC Conference on Structural Dynamics
Data-Driven Structural Identification of Nonlinear Assemblies: Asymmetric Stiffness and Damping Nonlinearities
Authors: S. Safari, J.M.L. Monsalve
Year: 2025
Citations: 2
Published in: Mechanical Systems and Signal Processing, Vol. 222, Article 111745
Importance of Virtual Sensing and Model Reduction in the Structural Identification of Bolted Assemblies
Authors: S. Safari, J.M. Londoño Monsalve
Year: 2023
Citations: 1
Published in: Proceedings of the Society for Experimental Mechanics Annual Conference, pp. 33–36
Statistical Calibration of Ultrasonic Fatigue Testing Machine and Probabilistic Fatigue Life Estimation
Authors: S. Safari, D. Montalvão, P.R. da Costa, L. Reis, M. Freitas
Year: 2025
Published in: International Journal of Fatigue (under review), Article 109028
Data-Driven Structural Identification of Nonlinear Assemblies: Uncertainty Quantification
Authors: S. Safari, D. Montalvão, J.M.L. Monsalve
Year: 2025
Published in: International Journal of Non-Linear Mechanics, Vol. 170, Article 105002
A New Design for Mitigating Interfering Modes in Cruciform Specimens to Enhance Ultrasonic Fatigue Testing
Authors: D. Montalvão, S. Safari, W. Chidzikwe, P. Sewell, P. Costa, L. Reis, M. Freitas
Year: 2025
Published in: Procedia Structural Integrity, Vol. 68, pp. 472–479

📘 Conclusion

Dr. Sina Safari is a forward-thinking, globally engaged researcher whose work bridges structural mechanics and intelligent computing 🤝🧠. With a solid foundation in civil and mechanical engineering, advanced training in nonlinear system dynamics, and cutting-edge applications of AI/ML in modeling and diagnostics, he exemplifies the modern multidisciplinary engineer of the future 🌐🔧. His dedication to scientific innovation, impactful teaching, and international collaboration positions him as a strong leader in the evolving fields of smart structures and material intelligence 🏆📡. As he continues his journey at the University of Bristol and beyond, Dr. Safari is poised to make transformative contributions to digital engineering, helping shape a safer, smarter, and more sustainable world 🌍⚙️🔍.

Enes Ata | Applied Mathematics | Best Researcher Award

Posted on 05/07/202507/07/2025 by Math Scientist

Assist. Prof. Dr. Enes Ata | Applied Mathematics | Best Researcher Award

Bingol University ,Turkey

Dr. Enes ATA 🎓, an accomplished Assistant Professor at Bingöl University, is a passionate mathematician with nearly a decade of research experience in specialized fields such as special functions, integral transformations, fractional calculus, and differential equations 🔍➗. Since 2016, he has steadily built a portfolio of impactful publications in reputable international journals 📚 and authored two scholarly book chapters with ISBN recognition 📘. Dr. ATA’s academic journey is driven by a deep commitment to advancing mathematical modelling and theoretical problem-solving 🧠💡. His work is featured on platforms like Google Scholar and ResearchGate 🌐, reflecting transparency and accessibility in research. While still expanding his citation footprint, his focused and disciplined approach signifies long-term promise in the mathematical sciences 🚀. A dedicated contributor to the scientific community, Dr. Enes ATA exemplifies scholarly resilience, curiosity, and a forward-thinking mindset in pursuit of mathematical innovation and excellence 📈🔢.

Professional Profile

Google Scholar
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Education 🎓

Dr. Enes ATA began his academic ascent through a rigorous foundation in mathematical sciences, guided by curiosity and precision. His higher education was shaped by a passion for abstract thinking, logical reasoning, and analytical depth. From undergraduate studies through to doctoral research, he honed a deep understanding of core mathematical theories, particularly in differential equations and advanced calculus. His academic journey was marked by consistency, discipline, and scholarly excellence. With a Ph.D. focusing on intricate mathematical structures, he developed skills in theoretical modelling, fractional analysis, and complex problem-solving. His education was not just a series of degrees—it was an intellectual transformation, where he transitioned from a learner to a knowledge creator. This robust academic background laid the groundwork for his evolving research contributions and enabled him to approach mathematical challenges with originality, rigor, and clarity. Today, his academic foundation remains the cornerstone of his continued exploration in the world of mathematics.

Professional Experience 🧑‍🏫

Dr. Enes ATA holds the position of Assistant Professor at Bingöl University, where his role blends research, mentorship, and teaching into a cohesive professional identity. Since joining academia, he has immersed himself in academic life—not only guiding students through complex mathematical topics but also pushing the frontiers of knowledge in specialized areas. His teaching philosophy is anchored in clarity, curiosity, and connection, helping students bridge theoretical mathematics with real-world applications. Beyond the classroom, he actively contributes to his department’s academic agenda, curriculum development, and research collaborations. His professional journey is marked by steady growth, integrity, and a strong work ethic. Balancing both scholarly research and institutional responsibilities, he brings a multifaceted approach to problem-solving. Whether publishing in journals, supervising projects, or participating in academic seminars, Dr. ATA demonstrates a commitment to academic excellence and intellectual integrity, continuously reinforcing his role as both an educator and a pioneering researcher in mathematics.

Research Interests 🔬

Dr. Enes ATA’s research compass is finely tuned to the intricate landscape of mathematical theory, with specializations that delve into special functions, integral transformations, fractional calculus, differential equations, and mathematical modelling. These domains, though abstract, hold transformative power across engineering, physics, and computational sciences. His work focuses on the synthesis of classical theory and modern methodologies, often addressing unsolved problems and contributing refined solutions to the literature. Dr. ATA seeks elegance in complexity—decoding patterns, exploring functional identities, and building bridges between theory and application. His research interests are not static but evolve with emerging mathematical paradigms and interdisciplinary needs. He approaches each mathematical challenge with a methodical and creative mindset, ensuring his findings are both technically sound and conceptually valuable. Driven by the desire to contribute meaningfully to global mathematics discourse, his research aims to offer clarity, depth, and innovation in areas that often form the bedrock of scientific and engineering solutions.

Awards and Honors 🏅

Though still in the early to mid-stage of his academic career, Dr. Enes ATA has begun to garner recognition for his scholarly contributions. His book chapters published under international ISBNs reflect a milestone of academic merit and recognition. His journal publications in reputable, indexed journals mark his consistent effort toward scientific excellence. While not yet widely decorated with awards, his steady trajectory positions him as a strong candidate for honors such as “Best Researcher” or “Emerging Scholar in Mathematics.” His academic visibility on platforms like Google Scholar, ResearchGate, and Scopus showcases his commitment to transparency and knowledge dissemination. Each citation of his work is a quiet affirmation of relevance, and his continued scholarly engagement suggests that formal recognitions are likely to follow. With every published paper, classroom lecture, and collaborative project, Dr. ATA moves closer to future accolades that will formally acknowledge the intellectual value and impact of his research legacy.

🧪 Research Skills

Dr. Enes ATA possesses a robust set of research skills that include analytical modeling, problem-solving in nonlinear systems, mathematical abstraction, and computational mathematics. 🧠💡 He is adept at employing fractional calculus to develop solutions to advanced differential systems and is proficient in using integral transforms for applied problem-solving. His academic writing skills are evident through his publications in Scopus- and SCI-indexed journals. 📝📊 Dr. ATA also demonstrates competence in using research platforms and tools such as LaTeX, MATLAB, and symbolic computation environments, enhancing the rigor and reproducibility of his work. 🔬💻 With a solid understanding of both classical and modern mathematical frameworks, his methodical approach contributes to high-quality research outcomes and positions him as a technically skilled and conceptually strong researcher. 🧮📐

Publications Top Notes

Title: Generalized Pathway Fractional Integral Formulas Involving Extended Multi-Index Mittag-Leffler Function in Kernel of SUM Transform
Authors: Muhammad Kaurangini, Umar Muhammad Abubakar, Enes Ata
Year: 2025
Source: MANAS Journal of Engineering / Crossref
Title: Modified Special Functions: Properties, Integral Transforms and Applications to Fractional Differential Equations
Authors: Enes Ata, I. Onur Kiymaz
Year: 2024
Source: Boletim da Sociedade Paranaense de Matemática / Crossref
Title: A New Generalized Laplace Transform and Its Applications to Fractional Bagley-Torvik and Fractional Harmonic Vibration Problems
Authors: Enes Ata, İ. Onur Kıymaz
Year: 2023
Source: Miskolc Mathematical Notes / Scopus
Title: New Fractional Operators Including Wright Function in Their Kernels
Authors: Enes Ata, İ. Onur Kıymaz
Year: 2023
Source: Turkish Journal of Mathematics and Computer Science / Crossref
Title: M-Lauricella Hypergeometric Functions: Integral Representations and Solutions of Fractional Differential Equations
Authors: Enes Ata
Year: 2023
Source: Communications Faculty of Science University of Ankara Series A1 / Crossref
Title: Modified Special Functions Defined by Generalized M-Series and Their Properties
Authors: Enes Ata
Year: 2022
Citations: 10
Source: arXiv / Scopus
Title: Generalized Gamma, Beta and Hypergeometric Functions Defined by Wright Function and Applications to Fractional Differential Equations
Authors: Enes Ata, İ. Onur Kıymaz
Year: 2022
Citations: 14
Source: Cumhuriyet Science Journal / Crossref
Title: Generalized Beta Function Defined by Wright Function
Authors: Enes Ata
Year: 2021
Citations: 15
Source: arXiv / Web of Science
Title: New Generalized Mellin Transform and Applications to Partial and Fractional Differential Equations
Authors: E. Ata, I.O. Kıymaz
Year: 2023
Citations: 50
Source: International Journal of Mathematics and Computer in Engineering
Title: A Study on Certain Properties of Generalized Special Functions Defined by Fox-Wright Function
Authors: E. Ata, İ.O. Kıymaz
Year: 2020
Citations: 40
Source: Applied Mathematics and Nonlinear Sciences
Title: Special Functions with General Kernel: Properties and Applications to Fractional Partial Differential Equations
Authors: E. Ata, I.O. Kıymaz
Year: 2025
Citations: 5
Source: International Journal of Mathematics and Computer in Engineering
Title: New Generalized Special Functions with Two Generalized M-Series at Their Kernels and Solution of Fractional PDEs via Double Laplace Transform
Authors: E. Ata, I.O. Kıymaz
Year: 2024
Citations: 4
Source: Computational Methods for Differential Equations
Title: Fractional Integrations for the New Generalized Hypergeometric Functions
Authors: M.P. Chaudhary, M.L. Kaurangini, I.O. Kıymaz, U.M. Abubakar, E. Ata
Year: 2023
Citations: 4
Source: Journal of Ramanujan Society of Mathematics and Mathematical Sciences

📌 Conclusion

Dr. Enes ATA emerges as a promising and dedicated scholar in mathematics, with a focused research agenda, growing publication record, and a passion for advancing mathematical theory and application. 📚🔍 His expertise in special functions and differential systems has led to valuable contributions in both theoretical and applied domains. As an Assistant Professor, he actively shapes the academic growth of students while contributing to global research. 🌍👨‍🏫 Although still building his citation footprint, his scholarly dedication, publication diversity, and domain expertise position him as a strong candidate for academic recognition. 🏅📈 Dr. ATA exemplifies academic integrity, technical precision, and research excellence, making him a worthy nominee for prestigious honors like the Best Researcher Award. 🏆📘

Jino L | Applied Mathematics | Best Researcher Award

Posted on 30/06/202530/06/2025 by Math Scientist

Dr. Jino L | Applied Mathematics | Best Researcher Award

Assistant Professor at Sathyabama Institute of Science and Technology, India

Dr. Jino L 🎓 is a dynamic researcher and Assistant Professor in Mechanical Engineering at Sathyabama Institute of Science and Technology, Chennai. With a Ph.D. in Computational Fluid Dynamics from NIT Arunachal Pradesh, his research spans 🧠 machine learning-based fluid simulations, nanofluid heat transfer, porous media analysis, and environmental contaminant transport 🌊. Proficient in Python, MATLAB, and FORTRAN 💻, he has authored 25+ WOS/Scopus-indexed publications 📚 and contributed to renowned book chapters with Elsevier and Springer 📘. Dr. Jino’s interdisciplinary approach combines thermal engineering, fractional calculus, and renewable energy ♻️. His scientific excellence, coding expertise, and innovative problem-solving make him a strong contender for advanced research recognition 🏆. Passionate about impactful solutions and continuous learning, he is shaping future technologies through rigorous modeling, simulation, and academic dedication 🔬✨.

Professional Profile

Google Scholar
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ORCID Profile

🎓 Education

Dr. Jino L holds a Ph.D. in Computational Fluid Dynamics from the National Institute of Technology, Arunachal Pradesh (2018–2022) 🧪, where his thesis focused on natural convective flow of nanofluid in porous cavities. He earned an M.Tech in Automobile Engineering from Hindustan University (2015–2017) 🚗 and a B.E. in Mechanical Engineering from Anna University (2011–2015) 🛠️. His academic journey reflects deep commitment to fluid mechanics, thermal systems, and applied mathematics. With a solid foundation in engineering principles and numerical methods, he has combined theoretical excellence with practical insight. 📘 From understanding the dynamics of fluid flow to energy-efficient transport mechanisms, his education has shaped his multidisciplinary expertise. 🧠📐 Dr. Jino’s academic credentials have positioned him to lead impactful research in mechanical and environmental sciences. 🎯

💼 Professional Experience

Dr. Jino L currently serves as an Assistant Professor at the School of Mechanical Engineering, Sathyabama Institute of Science and Technology, Chennai (since 2021) 🎓. He previously worked as a Junior Research Fellow on a DST-SERB funded project at NIT Arunachal Pradesh (2017–2019), where he applied CFD to real-world fluid transport problems 🌀. His teaching spans mechanical fundamentals, CFD, and energy systems, blending research and pedagogy effectively. 🧑‍🏫💡 Dr. Jino actively mentors students in research-based learning, contributing to academia with 25+ high-impact publications 📚. He regularly collaborates with industry and institutions on topics like EV cooling, groundwater modeling, and nanofluid dynamics. His academic leadership and collaborative mindset have earned him recognition as a future-ready academician with a strong applied research focus. 🔍⚙️

🔬 Research Interest

Dr. Jino L’s research interests lie in Computational Fluid Dynamics (CFD), heat and mass transfer, machine learning in fluid simulation, nanofluid flow in porous media, and environmental contaminant transport 🌱🌊. He explores fractional calculus, MHD convection, and energy-efficient systems using tools like Python, MATLAB, and FORTRAN 🧑‍💻. His recent works investigate nitrate transport, EV battery cooling, and hybrid nanofluids under complex boundary conditions 💧⚡. By integrating machine learning and numerical modeling, he creates accurate, scalable solutions to real-world engineering problems 🔄. His interdisciplinary mindset bridges mechanical engineering with environmental science and energy sustainability. Dr. Jino’s research is both impactful and innovative, aligning with UN Sustainable Development Goals and next-gen fluid technologies 🚀. He brings precision, creativity, and future-forward insight to engineering research. 🧠🔍

🏆 Awards and Honors

While specific honors are not listed, Dr. Jino L’s prolific publication record (25+ WOS/Scopus-indexed articles) 📑 and contributions to prestigious journals like Environmental Science and Pollution Research, Science of the Total Environment, and Journal of Porous Media are testaments to his research caliber 🥇. His collaborative works with leading scholars and international book chapters in Elsevier and Springer reflect academic excellence and global recognition 📘🌍. Being entrusted with a DST-SERB funded project as a JRF highlights his early research promise 🎓. His role in pioneering EV battery cooling, fractional fluid modeling, and groundwater purification showcases leadership in applied science 🔬. With growing citations and academic visibility, Dr. Jino is well-suited for prestigious awards like Best Researcher Award, honoring impactful, interdisciplinary contributions. 🌟🏅

💻 Research Skills

Dr. Jino L exhibits advanced technical skills across CFD simulation, fractional numerical modeling, and multispecies transport in complex systems 🧪💨. Proficient in FORTRAN, C, C++, MATLAB, and Python, he handles computational challenges across multiple platforms 🧑‍💻. His expertise extends to machine learning for fluid flow, MHD convection, porous media analysis, and battery thermal management 🔋🌀. Tools like AutoCAD, SolidWorks, Creo, ANSYS, and LaTeX add versatility to his research and presentation capabilities 🎯📐. With strong command over numerical schemes, adaptive modeling, and simulation validation, he ensures precision and innovation in every project. His deep analytical thinking and multidisciplinary fluency make him a highly resourceful research contributor. 🚀 Whether working on environmental or mechanical systems, Dr. Jino’s technical toolkit ensures high-quality, scalable research output. 📊🛠️

Publications Top Note 📝

Title: Review on natural fibre composites reinforced with nanoparticles
Authors: L Jino, VD Prasad, MA Eswar, E Manoj, A Jacob, SA Suthan, …
Year: 2023
Citations: 17
Source: Materials Today: Proceedings
Title: Fluid friction/heat transfer irreversibility and heat function study on MHD free convection within the MWCNT–water nanofluid‐filled porous cavity
Authors: AV Kumar, J Lawrence, G Saravanakumar
Year: 2022
Citations: 13
Source: Heat Transfer
Title: Numerical modelling of nitrate transport in fractured porous media under non-isothermal conditions
Authors: J Lawrence, B Mohanadhas, N Narayanan, AV Kumar, V Mangottiri, …
Year: 2021
Citations: 12
Source: Environmental Science and Pollution Research
Title: Time fractional transient magnetohydrodynamic natural convection of hybrid nanofluid flow over an impulsively started vertical plate
Authors: S Doley, AV Kumar, J Lawrence
Year: 2022
Citations: 11
Source: Computational Thermal Sciences
Title: Numerical study of heat transfer between hot moving material and ambient medium using various hybrid nanofluids under MHD radiative-convection, viscous dissipation effects, and …
Authors: S Doley, VK Alagarsamy, AJ Chamkha, J Lawrence, A Jacob
Year: 2023
Citations: 10
Source: Numerical Heat Transfer, Part B: Fundamentals
Title: Fluid Flow and Heat Transfer Analysis of Quadratic Free Convection in a Nanofluid Filled Porous Cavity
Authors: J Lawrence, VK Alagarsamy
Year: 2021
Citations: 10
Source: International Journal of Heat & Technology
Title: Investigation on the mechanical and tribological properties of silicon in an automotive brake pad
Authors: E Manoj, RA Marshall, K Muthupandi, RB Natarajan, A Jacob, L Jino, …
Year: 2023
Citations: 8
Source: Materials Today: Proceedings
Title: Study of time fractional Burgers’ equation using Caputo, Caputo-Fabrizio and Atangana-Baleanu fractional derivatives
Authors: S Doley, AV Kumar, KR Singh, L Jino
Year: 2022
Citations: 8
Source: Engineering Letters
Title: Mathematical Modelling of MHD Natural Convection in a Linearly Heated Porous Cavity
Authors: J Lawrence, VK Alagarsamy
Year: 2021
Citations: 8
Source: Mathematical Modelling of Engineering Problems
Title: Magnetic field effect on nanofluid suspension cavity by non-uniform boundary conditions
Authors: AV Kumar, L Jino, M Berlin, PK Mohanty
Year: 2019
Citations: 8
Source: AIP Conference Proceedings
Title: Synergistic effect of post injection and CART unit in extenuating Tail-Pipe pollutants in CI engine using C. pyrenoidosa microalgae biodiesel
Authors: A Jacob, B Ashok, KM Usman, VKB Raja, L Jino
Year: 2022
Citations: 4
Source: Sustainable Energy Technologies and Assessments
Title: Heat and mass transfer effects on fluid past an exponentially accelerated vertical plate due to time‐fractional MHD‐free convection
Authors: A Vanav Kumar, L Jino, A Jacob, S Doley, J Pegu
Year: 2023
Citations: 3
Source: Heat Transfer
Title: Exploring the potential of third-generation microalgae bio-alcohol and biodiesel in arresting particulate smoke emissions and greenhouse gases using CART
Authors: A Jacob, B Ashok, J Lawrence, AS Soosairaj, J Anandan, M Elango
Year: 2023
Citations: 3
Source: Environmental Science and Pollution Research
Title: Numerical modelling of porous square cavity heated on vertical walls in presence of magnetic field
Authors: L Jino, A Vanav Kumar, S Doley, M Berlin, PK Mohanty
Year: 2022
Citations: 3
Source: Advances in Thermofluids and Renewable Energy
Title: Mathematical modeling of a nanofluid in a porous cavity with side wall temperature in the presence of magnetic field
Authors: L Jino, A Vanav Kumar, S Maity, P Mohanty, DS Sankar
Year: 2021
Citations: 3
Source: AIP Conference Proceedings
Title: Magnetic field effect on lid-driven porous cavity heated to the right wall
Authors: AV Kumar, L Jino, S Doley, M Berlin
Year: 2021
Citations: 2
Source: Science & Technology Asia
Title: MHD Double-diffusive Convection Flow of Hybrid Nanofluid over the Vertical Plate under Porous Medium
Authors: P Handique, S Doley, S Maity, AV Kumar, L Jino
Year: 2024
Citations: 1
Source: Engineering Letters
Title: Thermal management of battery cell module using a hybrid nanofluid filled inverted right-angled porous triangular cavity through natural convection
Authors: AV Kumar, AJ Chamkha, S Doley, L Jino, A Jacob, E Manoj, SA Suthan, …
Year: 2024
Citations: 1
Source: Journal of Thermal Analysis and Calorimetry
Title: Nanoparticles: an overview
Authors: J Lawrence, KV Rajadren, S Doley, VK Alagarsamy, A Jacob, …
Year: 2024
Citations: 1
Source: Green Magnetic Nanoparticles (GMNPs)

✅ Conclusion

Dr. Jino L is a forward-thinking researcher with a solid academic foundation, real-world research exposure, and a proven record of high-impact scientific publications 📚. His expertise in CFD, nanofluids, machine learning, and thermal systems demonstrates versatility and innovation 🔥🧠. A capable educator, mentor, and collaborator, he combines theory and practice to address complex engineering challenges 🌍. With over 25 peer-reviewed articles, international conference talks, and book chapters, he has steadily built a reputation for excellence and originality. His ability to integrate modern tools, cross-disciplinary research, and sustainability goals makes him a strong candidate for the Best Researcher Award 🏆. Dr. Jino exemplifies the ideal of a modern engineer-scientist—skilled, insightful, and driven by impact. ✨🌟

Asma Iqbal | Mathematical Modeling | Best Researcher Award

Posted on 08/05/202509/05/2025 by Math Scientist

Assist. Prof. Dr. Asma Iqbal | Mathematical Modeling | Best Researcher Award

Assistant Professor at National Institute of Technology, Srinagar , India.

Dr. Asma Iqbal, 🎓 Assistant Professor of Chemical Engineering at NIT Srinagar, is a dynamic researcher specializing in distillation-based separation, process simulation, and wastewater treatment. 💧 With a Ph.D. from AMU and post-doctoral work at IIT Kanpur, she boasts 10+ high-impact publications in renowned journals like Chemosphere and Separation and Purification Technology 📚. Dr. Iqbal has received numerous accolades, including Best Paper Awards 🏅 and Gold Medals 🥇, and is actively collaborating with international institutes such as MIT and Coventry University 🌍. She blends research with societal impact through projects like IoT-based crop irrigation systems 🌱 and Dal Lake pollution remediation. An inspiring mentor, she guides multiple Ph.D. and undergraduate projects and has delivered keynote talks across India. 💡 Adept with simulation tools like Aspen Plus and MATLAB, Dr. Iqbal exemplifies academic excellence, innovation, and community service, making her a distinguished candidate for the Best Researcher Award. 🏆

Professional Profile

Google Scholar
Scopus Profile
ORCID Profile

Education 🎓📘🧠

Dr. Asma Iqbal holds a Ph.D. in Chemical Engineering from the prestigious Aligarh Muslim University, where she earned accolades for her academic excellence. Her journey began with a B.Tech from NIT Srinagar, where she graduated with distinction and ranked third in her class 🏅. She further pursued her M.Tech at AMU, earning a gold medal for topping the university with an outstanding CGPA of 9.556 🥇. Her schooling years in Kashmir were equally remarkable, as she consistently achieved distinction honors 🧑‍🏫📖. Throughout her educational trajectory, she cultivated a deep passion for complex chemical processes, process design, and energy-efficient technologies. Her multidisciplinary foundation, combining theoretical depth and computational expertise, set the stage for a vibrant career in research and academia. With each academic milestone, Dr. Iqbal not only excelled personally but also laid the groundwork for making impactful contributions to sustainable chemical engineering 🌿🔍.

Professional Experience 🏢🧪

Dr. Asma Iqbal has an extensive and dynamic professional background rooted in both teaching and research. She currently serves as an Assistant Professor at NIT Srinagar, where she has been instrumental since March 2020. Her previous academic engagements include a post-doctoral fellowship at IIT Kanpur, where she worked on enhanced distillation systems under the mentorship of Dr. Nitin Kaistha 🔬🔄. Dr. Iqbal has also held academic positions at AMU and the Islamic University of Science and Technology, making her teaching experience diverse and interdisciplinary 🌐🧑‍🎓. In addition to classroom excellence, she has guided numerous B.Tech and internship projects on wastewater treatment, simulation, and bioenergy 🌍💡. Her administrative contributions include NBA accreditation coordination, lab supervision, and digital asset management at NIT. This combination of practical mentorship, high-impact research, and leadership in academic governance reflects her commitment to shaping the next generation of chemical engineers 🚀📋.

Research Interests 🧪🔬♻️

Dr. Asma Iqbal’s research pursuits are rooted in sustainable process engineering and advanced separation technologies. Her core expertise lies in azeotropic distillation, pressure swing distillation, and process intensification, using cutting-edge tools like Aspen Plus and DWSIM 🧬🧑‍💻. She explores simulation-driven conceptual design of chemical processes, energy optimization through heat integration, and circular economy strategies for industrial waste treatment 🌀🌍. Her research also branches into IoT-integrated agriculture systems, specifically focusing on smart irrigation for saffron cultivation, blending chemical engineering with digital innovation 🌾📲. Recently, she has explored adsorption techniques using microplastics for water purification and worked on Dal Lake restoration, aligning her work with environmental sustainability goals 💧🌿. Her scholarly contributions are frequently published in high-impact journals, and her collaborative spirit connects her with top institutions worldwide. Dr. Iqbal’s interdisciplinary lns, from perfumes to semiconductors, exemplifies a forward-thinking, solution-driven research philosophy 🚀📚.

Awards and Honors 🏆📜🌟

Dr. Asma Iqbal has received numerous accolades throughout her academic and professional career, reflecting her unwavering excellence and commitment to innovation. Among her top distinctions are the University Gold Medal in M.Tech and the DST INSPIRE Fellowship for doctoral research, awarded to top-tier scholars in India 🥇🔍. She has been honored with Best Paper Awards at international conferences hosted by reputed institutions such as Cranfield University and Kashmir University. Recognized for her global collaboration, she received a Certificate of Excellence from Universiti Teknologi Petronas, Malaysia for her role as a reviewer ✍️🌐. Additionally, she serves as a mentor for national initiatives like the Smart India Hackathon and has presented keynote addresses in high-level academic workshops 🗣️👩‍🏫. Her scholarly memberships with IIChE, IEI, and an international society based in the UK underscore her contributions on both national and international stages 🌍📈. Each award amplifies her influence in advancing chemical engineering.

Conclusion 🌟🎯

Dr. Asma Iqbal embodies the synthesis of academic rigor, technological innovation, and sustainable engineering. With a robust educational pedigree, extensive teaching experience, and a prolific research portfolio, she has established herself as a thought leader in chemical process design and environmental solutions 🌐💡. Her journey reflects a balance of theoretical insight and practical application—from designing advanced distillation columns to implementing IoT in agriculture. An advocate for clean technologies, she actively contributes to the circular economy, water purification, and resource-efficient systems 🌿💧. Dr. Iqbal’s collaborative mindset, combined with her mentoring and administrative leadership, positions her as a catalyst for academic transformation. As she continues to inspire students, drive cutting-edge research, and contribute to global sustainability dialogues, her work remains a beacon of excellence in the chemical engineering community 🧪🚀📚.

Publications Top Notes

Title: Revolutionizing perfume creation: PTD’s innovative approach
Authors: Asma Iqbal, Mohammad Amil Bhat, Qazi Muneeb, Muazam Javid
Year: 2025
Citations: — (New publication, citation data pending)
Source: Digital Chemical Engineering (Open Access)

Title: Pressure swing distillation of azeotropic mixture–A simulation study
Authors: Asma Iqbal, S.A. Ahmad
Year: 2016
Citations: 34
Source: Perspectives in Science, Volume 8, Pages 4–6

Title: Design and control of an energy-efficient alternative process for separation of Dichloromethane-Methanol binary azeotropic mixture
Authors: Asma Iqbal, S.A. Ahmad
Year: 2019
Citations: 25
Source: Separation and Purification Technology, Volume 219, Pages 137–149

Title: Entrainer based economical design and plantwide control study for Tetrahydrofuran/Water separation process
Authors: Asma Iqbal, S.A. Ahmad
Year: 2018
Citations: 21
Source: Chemical Engineering Research and Design, Volume 130, Pages 274–283

Title: Strategies for separating pressure sensitive binary azeotropes
Authors: Asma Iqbal, S.A. Ahmad
Year: 2022
Citations: 8
Source: Journal of King Saud University – Engineering Sciences, Volume 34(2), Pages 88–97

Title: Appropriate selections of distillation column control variable to improve integrating material recycle response
Authors: Asma Iqbal, S.A. Ahmad
Year: 2019
Citations: 5
Source: Journal of King Saud University – Engineering Sciences, Volume 31(2), Pages 106–113

Title: Design of an IoT-based saffron crop irrigation system
Authors: Asma Iqbal, S.A.A. Taqvi, J. Asim, Q. Muneeb, G. Mahajan, R. Sambyal, S. Anand
Year: 2024
Citations: 3
Source: Industrial Crops and Products, Volume 212, Article 118350

Title: Energy-efficient and cost-effective alternative separation techniques for 2-methoxyethanol–toluene azeotropic mixture: Design and control studies
Authors: Asma Iqbal, M.A. Qyyum, A.S. Nizami, S.A. Ahmad, M. Lee
Year: 2021
Citations: 3
Source: Chemical Engineering and Processing – Process Intensification, Volume 163, Article 108376