Chun Xu | Interdisciplinary Mathematics | Best Researcher Award

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Prof. Dr. Chun Xu | Interdisciplinary Mathematics | Best Researcher Award

Professor at Xinjiang University of Finance & Economics, China

Prof. Dr. Xu Chun 🎓, a distinguished scholar and PhD supervisor in the realm of Big Data Analysis and Applications 📊💡, exemplifies excellence in research and education. Earning his PhD from the University of Chinese Academy of Sciences in 2018, he has rapidly risen as a thought leader, recognized through the prestigious “Tianshan Talent” program 🌟. With over 40 impactful publications in leading journals 📚 and leadership of 13 major research projects, including those under the National Natural Science Foundation, Prof. Xu has significantly advanced data-driven innovation and technology. His accolades include top honors in national teaching and academic paper competitions 🏅, reflecting a rare fusion of pedagogical brilliance and scientific depth. Passionate about discovery, mentorship, and cross-disciplinary growth, he continues to inspire the scientific community with his visionary work and collaborative spirit 🤝. Prof. Xu Chun stands as a beacon of innovation, shaping the future of intelligent data applications.

Professional Profile 

Scopus Profile

🎓 Education

Prof. Dr. Xu Chun’s academic path is a story of dedication and precision. He earned his PhD in Computer Application Technology from the prestigious University of Chinese Academy of Sciences in 2018 🎓, laying a firm foundation in the ever-evolving domain of computational intelligence and big data. His education is steeped in rigorous analytical training, advanced machine learning, and algorithmic design. This academic odyssey empowered him with a multifaceted understanding of the data ecosystem—from raw datasets to real-world applications 📈. His scholarly journey reflects a commitment to lifelong learning, academic excellence, and technical innovation. With each milestone, Prof. Xu has cemented himself as a profound thinker, ready to tackle future challenges through a lens of scientific curiosity and intellectual precision 🧠🔍.

💼 Professional Experience

With an illustrious career marked by leadership and innovation, Prof. Xu Chun currently serves as a full Professor and PhD supervisor 🧑‍🏫. Over the years, he has cultivated an ecosystem of excellence in data science, guiding numerous doctoral students and researchers toward impactful academic and industry pursuits. He has successfully led 13 competitive projects including those from the National Natural Science Foundation, Xinjiang Aid Program, and the Xinjiang Natural Science Foundation 🔬💼. His professional experience combines high-stakes research management with grassroots mentorship, establishing him as a pillar of scholarly progress. Moreover, his role in academic development within the Xinjiang Uygur Autonomous Region has contributed significantly to regional scientific advancement 🧭. Prof. Xu is not only an academic leader but a visionary orchestrator of computational innovation—bridging institutional goals with the broader tech-research frontier. 🌐

🔬 Research Interest

Prof. Xu Chun’s research interests orbit around Big Data Analysis and Applications, an ever-expanding universe of digital insight 🚀📊. His work explores the convergence of algorithmic intelligence, machine learning, and large-scale data systems—striving to make sense of complexity through structured, meaningful interpretations. He delves into predictive analytics, pattern recognition, and intelligent computing, with a keen focus on real-world utility and interdisciplinary crossover 🌉. Xu’s research thrives on innovation—constantly pushing boundaries to unlock new knowledge and scalable solutions. Whether it’s optimizing data flow, improving data-driven decision-making, or constructing intelligent frameworks for industry applications, his research reflects both precision and creativity. Passionate about turning raw data into refined intelligence, Prof. Xu continues to illuminate pathways where technology, theory, and transformation intersect. 🧠💾✨

🏅 Awards and Honors

Prof. Xu Chun’s brilliance has been widely acknowledged through numerous accolades 🏆. A recipient of the esteemed “Tianshan Talent” award in the Xinjiang Uygur Autonomous Region 🌟, he has been recognized for both his intellectual depth and his regional impact. He has also earned the Third Prize in the National College Young Teachers Teaching Competition 🥉, and Second Prizes in the 9th and 12th Xinjiang Natural Science Outstanding Academic Papers 🥈—a testament to his scholarly excellence and research clarity. These honors underscore his rare ability to fuse research with education, thought with action, and theory with real-world benefit 📜💡. His achievements are more than accolades—they are milestones that reflect a lifelong devotion to discovery, teaching, and the betterment of society through scientific insight. Xu stands as an emblem of academic honor and progressive innovation in China’s research landscape. 🇨🇳🌐

🧩 Conclusion

Prof. Dr. Xu Chun stands at the confluence of intellect, innovation, and influence 🧠🌟. With a strong academic foundation, a wealth of professional experience, and a laser focus on future-forward research, he epitomizes the modern scientific leader. His ability to bridge data science theory with real-world application not only inspires his peers but also empowers the next generation of thinkers and doers 📚🤝. The impact of his work ripples across academic communities and technological frontiers alike, establishing him as an ideal candidate for the Best Researcher Award 🏅. Through his awards, projects, and publications, he has created a legacy grounded in excellence and guided by vision. As a champion of knowledge and a cultivator of potential, Prof. Xu Chun’s contributions transcend boundaries—making him not only a researcher of the present but a pioneer for tomorrow’s scientific world 🌍🚀.

Publications Top Notes

 

Majid Jabbari | Applied Mathematics | Best Researcher Award

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Dr. Majid Jabbari | Applied Mathematics | Best Researcher Award

Faculty member at iaukhsh, Iran

Dr. Majid Jabbari 🛠️ is a distinguished Assistant Professor in Mechanical Engineering at Islamic Azad University of Khomainishahr, renowned for his pioneering research in vibration-based energy harvesting ⚡, piezoelectric materials, and fracture mechanics. With a Ph.D. from Isfahan University of Technology 🎓, he has contributed impactful publications in top-tier journals and presented at prestigious global forums. His engineering acumen extends to advanced mechanical design projects, including aerospace structures ✈️ and industrial damping systems. Dr. Jabbari’s academic journey is marked by excellence in teaching cutting-edge software tools 💻 and mentoring future engineers with vision. Decorated with multiple accolades 🏅 from the aviation and mining industries, he exemplifies the fusion of theoretical depth and practical innovation. His authorship of specialized books and close collaborations with leading research institutes reflect a career committed to scientific advancement 🔬 and societal benefit. Dr. Jabbari is a dynamic force in modern mechanical research and a deserving candidate for global recognition 🌍.

Professional Profile

Google Scholar
Scopus Profile

🎓 Education

Dr. Majid Jabbari’s academic pathway is a seamless blend of precision, passion, and perseverance. He completed all his higher education at the prestigious Isfahan University of Technology, Iran — earning a Bachelor’s, Master’s, and Ph.D. in Mechanical Engineering 🛠️. His master’s thesis explored “Crack Detection by Using Vibration Behavior,” while his doctoral dissertation ventured into the dynamic world of “Energy Harvesting from Vibration of Piezoelectric Multilayer Structures,” merging experimentation with numerical analysis 🔍. This robust foundation laid the groundwork for his future as a mechanical innovator. Throughout his studies, Dr. Jabbari received multiple academic distinctions 🏆, including superior student awards. His educational journey reflects a rare blend of theoretical depth, hands-on expertise, and a forward-thinking mindset, positioning him at the intersection of structural mechanics, materials science, and dynamic systems. His solid academic background empowers his future contributions to global mechanical advancements 🌐.

💼 Professional Experience

Dr. Majid Jabbari brings over two decades of hands-on teaching, research, and industry collaboration experience in mechanical engineering 🔧. Currently an Assistant Professor at the Islamic Azad University of Khomainishahr, he has served as a trusted instructor for numerous specialized subjects such as Fatigue and Fracture, Finite Element Methods, and Computer-Aided Machine Design 🖥️. He is also a software-savvy educator, proficient in CATIA, ADAMS, ANSYS, MARC, and PATRAN/NASTRAN, equipping students with essential industry tools. His engineering footprint spans across diverse sectors, including steel, automotive, aviation, and maritime domains 🛳️. Dr. Jabbari has led and supported major design projects such as airplane surface design, flutter analysis, and structural optimization. His collaborations with renowned universities and industrial giants like Foolad Mobarakeh Steel Company and PTDI Indonesia reflect his versatile professional scope. With practical brilliance and academic depth, Dr. Jabbari exemplifies a career driven by innovation, integrity, and interdisciplinary synergy 🚀.

🔬 Research Interests

Dr. Majid Jabbari’s research interests orbit around the intricate mechanics of materials, dynamic systems, and smart structures 🌟. His expertise thrives in vibration-based crack detection, piezoelectric energy harvesting, nonlinear dynamic analysis, and finite element modeling 📊. At the heart of his work lies the desire to convert ambient vibrations into usable energy, a frontier technology in sustainable engineering. He is also deeply invested in the study of fatigue, fracture behavior, and stress analysis under complex conditions — paving the way for safer and smarter mechanical designs 🧠. His explorations into advanced coatings, such as TiO2/SiC/SiO2 layers for graphite electrodes, signal a strong focus on durability and innovation in manufacturing. Bridging theory and practice, Dr. Jabbari seamlessly integrates computational simulations with experimental validation 🔎. His dynamic portfolio reflects a forward-looking vision aimed at enhancing structural health monitoring, energy efficiency, and robust mechanical systems that meet future industrial demands ⚙️.

🏅 Awards and Honors

Dr. Majid Jabbari is the recipient of numerous awards that celebrate both academic excellence and industrial innovation 🎖️. He earned the prestigious Superior Student Award and multiple research grants during his academic years at Isfahan University of Technology. His exceptional work in the aviation industry has been recognized multiple times — securing accolades in 2000, 2001, 2003, 2004, 2005, and 2006 for his outstanding design and technical contributions ✈️. In addition, he has been honored with the Top Expert Award from the Aviation Industry and received recognition from the mining sector for his applied engineering solutions ⛏️. His commitment to research excellence is further validated by accolades from Islamic Azad University and internationally recognized certification programs from Russia and Germany. These distinctions reflect not only his deep technical competence but also his role as a bridge between academia and industry. Dr. Jabbari’s accolades are a testimony to his dedication, brilliance, and visionary impact 🌐.

Conclusion

Dr. Majid Jabbari emerges as a multi-dimensional engineer, educator, and researcher whose career radiates intellectual brilliance and practical ingenuity 🔧. His journey—from a passionate student to a nationally and internationally recognized scholar—reflects consistency in excellence and a commitment to innovation. With extensive academic credentials, hands-on industrial involvement, and cutting-edge research, he has impacted fields ranging from energy harvesting to structural integrity. His published works, teaching legacy, and collaborative projects across top institutions and industries illustrate a profile that is both inspiring and influential 📘. Dr. Jabbari stands as a role model in engineering education, known not just for problem-solving but for visionary foresight. His work pushes the envelope in mechanical systems and sustainable design, making him a compelling contender for any prestigious recognition 🏆. As technology evolves, his contributions continue to shine as a beacon for emerging researchers and engineers ready to shape the future 💡.

Publications Top Notes

  • 🛠️ Crack Detection in Beams Using Experimental Modal Data and Finite Element Model
    Authors: H. Nahvi, M. Jabbari
    Year: 2005
    Citations: 341
    Published In: International Journal of Mechanical Sciences, Vol. 47(10), pp. 1477–1497
    📌 Summary: A pioneering study combining vibration analysis with FEM to identify structural cracks in beams.

  • 🔥 Effects of TiO₂/SiC/SiO₂ Coating on Graphite Electrode Consumption in Sublimation and Oxidation States via EAF Simulation and Experimentation
    Authors: H.A. Moghadam, M. Jabbari, S. Daneshmand, S.R. Jazi, A. Khosravi
    Year: 2021
    Citations: 12
    Published In: Surface and Coatings Technology, Vol. 420, Article 127340
    📌 Summary: Investigates triple-layer coatings on electrodes to reduce wear in high-temperature environments.

  • 🎢 Experimental and Numerical Insights into the Dynamics of a Nonlinear Piezoelectric Beam
    Authors: M. Jabbari, M. Ghayour, H.R. Mirdamadi
    Year: 2016
    Citations: 12
    Published In: Mechanics of Advanced Materials and Structures, Vol. 23(8), pp. 853–864
    📌 Summary: Explores complex vibrational behavior in smart piezoelectric structures under dynamic conditions.

  • 🔋 Energy Harvesting of a Multilayer Piezoelectric Beam: Resonant vs Off-Resonant Behavior
    Authors: M. Jabbari, M. Ghayour, H.R. Mirdamadi
    Year: 2017
    Citations: 10
    Published In: Journal of Engineering Materials and Technology, Vol. 139(3), Article 031008
    📌 Summary: Evaluates how multi-layer designs affect energy capture from mechanical oscillations.

  • 🎯 Strain Nodes and Their Influence on Energy Output of Cantilever Piezoelectric Beams Under Modal Excitation
    Author: M. Jabbari
    Year: 2018
    Citations: 9
    Published In: Modares Mechanical Engineering, Vol. 17(10), pp. 65–72
    📌 Summary: Targets optimal energy zones in beam configurations based on nodal strain distribution.

  • 🧪 Free Vibration Analysis of Piezoelectric Actuators with Graded BN Nanotube Reinforcements via Timoshenko Theory
    Authors: R. Abdellahi, M. Jabbari, A. Shamshiri
    Year: 2024
    Citations: 4
    Published In: Results in Engineering, Vol. 23, Article 102374
    📌 Summary: Blends functional nanotech with classic mechanics to study smart actuator dynamics.

  • ⚙️ Impact of TiO₂/SiC/SiO₂ Coating on Wear Resistance of Needle Graphite Electrodes in EDM Context
    Authors: H.A. Moghadam, M. Jabbari, S. Daneshmand, S.R. Jazi, A. Khosravi
    Year: 2021
    Citations: 2
    Published In: International Journal of Advanced Design & Manufacturing Technology, Vol. 14(2)
    📌 Summary: Applies coating science to improve endurance during electrical discharge machining.

  • 🧪 Fabrication of Protective SiC/TiO₂/SiO₂ Coating for Graphite Electrodes
    Authors: H.A. Moghadam, M. Jabbari, S. Daneshmand, S.R. Jazi, A. Khosravi
    Year: 2021
    Citations: 2
    Published In: Surface Review and Letters, Vol. 28(05), Article 2150038
    📌 Summary: Describes the synthesis and performance evaluation of multilayer protective coatings.

  • 🔄 Enhancing Energy Harvesting through Vibration Mode Shape Optimization
    Authors: M. Jabbari, M. Ghayour, H.R. Mirdamadi
    Year: 2016
    Citations: 2
    Published In: Advanced Computational Design, Vol. 1(2), pp. 155–173
    📌 Summary: Focuses on maximizing piezoelectric beam output by tuning vibrational response.

  • 🔍 Finite Element Analysis of Transient and Steady Dynamics in Nonlinear Piezoelectric Beams
    Authors: M. Jabbari, M. Ghayour, H.R. Mirdamadi
    Year: 2016
    Citations: 2
    Published In: Journal of Solid Mechanics, Vol. 8(2), pp. 247–261
    📌 Summary: Delivers an in-depth simulation approach to nonlinear smart beam behavior.

  • 🧠 Optimization of Piezoelectric MEMS for Power Output via Genetic Algorithms
    Authors: M. Jabbari, M. Eghdami
    Year: 2023
    Citations: 1
    Published In: Aerospace Knowledge and Technology Journal, Vol. 11(2), pp. 165–181
    📌 Summary: Introduces AI-driven material and shape tuning for better MEMS energy conversion.

  • ⚡ Dynamic Stiffness-Based Electric Response Prediction in Piezoelectric Beams
    Authors: M. Jabbari, B. Ahmadi
    Year: 2020
    Citations: 1
    Published In: Journal of Applied and Computational Sciences in Mechanics, Vol. 31(2)
    📌 Summary: Models the electrical reaction of smart materials under dynamic excitation using advanced stiffness methods.

Saif Ur Rehman | Applied Mathematics | Best Researcher Award

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Dr. Saif Ur Rehman | Applied Mathematics | Best Researcher Award

Research Assistant at Consiglio Nazionale delle Ricerche (CNR), Genoa, Italy, Pakistan.

Saif Ur Rehman is a dedicated researcher in Computational Fluid Dynamics (CFD), Numerical Analysis, and Partial Differential Equations, with a strong academic and research background. He has worked as a Research Assistant at the National Research Council, Italy, and previously at the University of Calabria, Italy, and the University of Management and Technology, Pakistan. His research focuses on nanofluid dynamics, MHD flows, bioconvection, and heat transfer, leading to multiple Q1 and Q2 publications in high-impact journals such as Nanomaterials, Mathematics, and Waves in Random and Complex Media. He has received merit-based scholarships and a Research Publication Award, demonstrating his academic excellence. Additionally, he possesses strong technical skills in Python, MATLAB, C++, and LaTeX, aiding in his numerical modeling research. With international research exposure and a growing publication record, Saif Ur Rehman is an emerging scholar in applied mathematics, aiming to expand his contributions to mathematical modeling and computational sciences.

Professional Profile 

Google Scholar

Education

Saif Ur Rehman holds a Master of Science in Mathematics from the University of Management and Technology, Lahore, Pakistan (2019–2021), where he specialized in Advanced Numerical Analysis, Fluid Dynamics, and Differential Equations. His master’s thesis focused on the MHD Williamson Nanofluid Flow over a Slender Elastic Sheet in the Presence of Bioconvection. Before this, he earned a Bachelor of Science in Mathematics from Government College University, Faisalabad (2015–2019), securing a 3.55/4.00 GPA. His undergraduate studies included Fluid Mechanics, Numerical Analysis, Real and Complex Analysis, and C++ Programming, laying a strong foundation for his research in computational mathematics. Throughout his academic journey, he received multiple merit-based scholarships, including the Punjab Education Endowment Fund Scholarship (PEEF) and a fully funded master’s scholarship, reflecting his dedication and academic excellence. His education has equipped him with expertise in mathematical modeling, numerical simulations, and applied mathematics, which he continues to explore in his research.

Professional Experience

Saif Ur Rehman has gained extensive research experience through multiple roles at renowned international institutions. He is currently a Research Assistant at the National Research Council, Genoa, Italy (2024–Present), working on Optimal Robust Shape Control for Distributed Parameter Systems. Previously, he was a University Research Assistant at the University of Calabria, Italy (2023–2024), focusing on applications of heat and mass transfer. His earlier role as a Research Assistant at the University of Management and Technology, Pakistan (2021–2023) involved a major research project on Numerical Methods for Partial Differential Equations, where he contributed to multiple high-impact publications. Alongside research, he worked as a Visiting Lecturer in Mathematics (2021–2022), teaching Calculus, Linear Algebra, Fluid Dynamics, and Numerical Analysis at the undergraduate level. His professional experience demonstrates his ability to conduct applied mathematics research, develop numerical solutions, and contribute to theoretical and computational fluid dynamics.

Research Interest

Saif Ur Rehman’s research is deeply rooted in Computational Fluid Dynamics (CFD), Numerical Analysis, and Partial Differential Equations (PDEs), with a strong focus on heat and mass transfer, MHD flows, and bioconvection. He has extensively studied the dynamics of nanofluids, micropolar fluids, and dusty fluids under various physical constraints, contributing significantly to theoretical and computational modeling in applied mathematics. His work integrates Artificial Neural Networks (ANNs) and Machine Learning techniques to enhance numerical simulations and solve complex mathematical physics problems. His research contributions, published in Q1 and Q2 impact factor journals, cover topics such as the effects of Lorentz and Coriolis forces, Darcy–Forchheimer flow models, and stability analysis of fluid flows. With expertise in Python, MATLAB, C++, and LaTeX, he continues to explore innovative numerical methods for solving real-world mathematical problems, aiming to bridge the gap between theory and industrial applications.

Awards and Honors

Saif Ur Rehman has received multiple scholarships and research excellence awards in recognition of his academic achievements. He was honored with the Research Publication Award (2022) at the University of Management and Technology, Pakistan, for his outstanding contributions to applied mathematics research. His academic journey has been supported by fully funded merit-based scholarships, including the Punjab Education Endowment Fund Scholarship (PEEF) during his bachelor’s studies and a fully funded master’s scholarship for his postgraduate studies. Additionally, he was awarded a Prime Minister’s Laptop under the Government of Pakistan’s Higher Education Initiative, recognizing his academic excellence. Beyond research, he has demonstrated leadership and management skills, serving as a class representative throughout his bachelor’s studies and actively participating in academic societies and awards. His awards reflect his dedication to mathematical research, academic excellence, and contributions to the global scientific community.

Conclusion

Saif Ur Rehman is an emerging researcher in Computational Fluid Dynamics, Numerical Analysis, and Partial Differential Equations, with a strong academic background and international research exposure. His work in nanofluid dynamics, MHD flows, and heat transfer has resulted in high-impact publications and significant contributions to applied mathematics. His expertise in Python, MATLAB, and numerical modeling techniques has strengthened his research capabilities. Having worked at renowned institutions in Italy and Pakistan, he has gained experience in both theoretical and applied research, positioning himself as a promising scholar in mathematical modeling and computational sciences. His awards, scholarships, and research achievements demonstrate his dedication to scientific innovation. Moving forward, he aims to further his research in numerical simulations, machine learning applications in CFD, and advanced mathematical modeling, contributing to both academic advancements and real-world engineering applications.

Publications Top Noted

  • Title: Insight into significance of bioconvection on MHD tangent hyperbolic nanofluid flow of irregular thickness across a slender elastic surface

    • Authors: MZ Ashraf, SU Rehman, S Farid, AK Hussein, B Ali, NA Shah, W Weera
    • Year: 2022
    • Citations: 92
    • Source: Mathematics, 10(15), 2592

  • Title: Numerical computation of buoyancy and radiation effects on MHD micropolar nanofluid flow over a stretching/shrinking sheet with heat source

    • Authors: SU Rehman, A Mariam, A Ullah, MI Asjad, MY Bajuri, BA Pansera, et al.
    • Year: 2021
    • Citations: 86
    • Source: Case Studies in Thermal Engineering, 25, 100867

  • Title: Micropolar dusty fluid: Coriolis force effects on dynamics of MHD rotating fluid when Lorentz force is significant

    • Authors: Q Lou, B Ali, SU Rehman, D Habib, S Abdal, NA Shah, JD Chung
    • Year: 2022
    • Citations: 84
    • Source: Mathematics, 10(15), 2630

  • Title: The Casson dusty nanofluid: Significance of Darcy–Forchheimer law, magnetic field, and non-Fourier heat flux model subject to stretch surface

    • Authors: SU Rehman, N Fatima, B Ali, M Imran, L Ali, NA Shah, JD Chung
    • Year: 2022
    • Citations: 72
    • Source: Mathematics, 10(16), 2877

  • Title: MHD Williamson nanofluid flow over a slender elastic sheet of irregular thickness in the presence of bioconvection

    • Authors: F Wang, MI Asjad, SU Rehman, B Ali, S Hussain, TN Gia, T Muhammad
    • Year: 2021
    • Citations: 63
    • Source: Nanomaterials, 11(9), 2297

  • Title: Significance of dust particles, nanoparticles radius, Coriolis and Lorentz forces: The case of Maxwell dusty fluid

    • Authors: Y Wei, SU Rehman, N Fatima, B Ali, L Ali, JD Chung, NA Shah
    • Year: 2022
    • Citations: 36
    • Source: Nanomaterials, 12(9), 1512

  • Title: Computational analysis for bioconvection of microorganisms in Prandtl nanofluid Darcy–Forchheimer flow across an inclined sheet

    • Authors: J Wang, Z Mustafa, I Siddique, M Ajmal, MMM Jaradat, SU Rehman, B Ali, et al.
    • Year: 2022
    • Citations: 23
    • Source: Nanomaterials, 12(11), 1791

  • Title: First solution of fractional bioconvection with power law kernel for a vertical surface

    • Authors: MI Asjad, S Ur Rehman, A Ahmadian, S Salahshour, M Salimi
    • Year: 2021
    • Citations: 18
    • Source: Mathematics, 9(12), 1366

  • Title: Dynamics of Eyring–Powell nanofluids when bioconvection and Lorentz forces are significant: The case of a slender elastic sheet of variable thickness with porous medium

    • Authors: A Manan, SU Rehman, N Fatima, M Imran, B Ali, NA Shah, JD Chung
    • Year: 2022
    • Citations: 13
    • Source: Mathematics, 10(17), 3039

  • Title: Hydrodynamical study of couple stress fluid flow in a linearly permeable rectangular channel subject to Darcy porous medium and no-slip boundary conditions

    • Authors: M Ishaq, SU Rehman, MB Riaz, M Zahid
    • Year: 2024
    • Citations: 10
    • Source: Alexandria Engineering Journal, 91, 50-69