Rahman Ullah Khan | Applied Mathematics | Best Researcher Award

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Dr. Rahman Ullah Khan | Applied Mathematics | Best Researcher Award

Ph.D at Quaid e Azam University Islamabad, Pakistan

Dr. Rahman Ullah Khan is an accomplished mathematician specializing in fractional differential equations and fixed point theory. 🎓 Currently pursuing his Ph.D. at Quaid-i-Azam University, Islamabad, his research focuses on the existence, uniqueness, and stability of solutions to complex fractional systems. His work combines rigorous mathematical theory with computational techniques, utilizing tools like MATLAB and Mathematica for numerical solutions. 💻 Dr. Khan has published several notable papers in high-impact journals, including Boundary Value Problems and Physica Scripta, showcasing his expertise in advanced mathematical analysis. 📚 He actively contributes to the academic community by presenting his findings at international conferences and engaging in teaching roles, mentoring future mathematicians. 🌍 Beyond his research, Dr. Khan has demonstrated leadership in organizing seminars and events to promote mathematical education and global collaborations. His dedication to advancing the field of pure mathematics, combined with his passion for knowledge-sharing, makes him a standout researcher. 🌟

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Education 📖🎓

Dr. Rahman Ullah Khan holds a Ph.D. in Mathematics from Quaid-i-Azam University, Islamabad, Pakistan, where he is currently conducting research on fractional differential equations and fixed point theory. 🎓 He completed his M.Phil. in Mathematics at the same institution, with an exceptional GPA, demonstrating his strong foundation in applied and pure mathematics. 📚 Throughout his academic journey, Dr. Khan’s thesis focused on solving fractional differential equations using advanced mathematical techniques, which showcased his commitment to solving complex mathematical problems.

Professional Experience ✨

Dr. Khan’s professional journey includes serving as a teaching assistant at Quaid-i-Azam University, where he taught fractional differential equations and applied mathematics. 📘 He has also worked as a private math tutor, helping students grasp complex mathematical concepts. Additionally, he has held leadership roles, including Vice President of the Quaidian Mathematical Society, and has organized seminars to enhance the academic community’s knowledge of mathematics. 🌐

Research Interests 🧮

Dr. Khan’s research interests are primarily centered on fractional differential equations and fixed point theory. 🧠 He focuses on solving fractional systems using fixed point theorems to establish solution existence, uniqueness, and stability. His work applies these concepts to real-world problems, using computational methods such as MATLAB to simulate and analyze results. 💡 His research aims to bridge the gap between theoretical mathematics and its applications in areas like engineering and physics, with an emphasis on making mathematical models more efficient and practical. 🔍

Awards and Honors 🏆

Dr. Khan has received recognition for his exceptional academic performance, including high GPAs in both his M.Phil. and Ph.D. programs. 🌟 His contributions to mathematics are widely respected, and his research articles have been published in reputable journals like Boundary Value Problems and Physica Scripta. 🏆 He has also been invited to present his findings at several international conferences, where his work on fractional differential equations has been well-received. 🌍

Conclusion🌍📚

Dr. Rahman Ullah Khan is a promising and passionate mathematician with a strong academic background and significant research contributions in the field of fractional differential equations and fixed point theory. 📈 His deep knowledge, combined with computational skills and leadership in the academic community, makes him an asset to the field of mathematics. With a commitment to advancing mathematical solutions for real-world problems, Dr. Khan is poised for further success in both research and teaching. 🌟 His dedication to knowledge-sharing and solving complex mathematical problems continues to inspire future generations of mathematicians.

Publications Top Notes

📘 On qualitative analysis of a fractional hybrid Langevin differential equation with novel boundary conditions
Authors: G Ali, RU Khan, Kamran, A Aloqaily, N Mlaiki
Year: 2024
Citation: Boundary Value Problems 2024 (1), 62
Source: Boundary Value Problems

🔍 The study of nonlinear fractional boundary value problems involving the p-Laplacian operator
Authors: AU Khan, RU Khan, G Ali, S Aljawi
Year: 2024
Citation: Physica Scripta 99 (8), 085221
Source: Physica Scripta

🌐 The Existence and Stability of Integral Fractional Differential Equations
Authors: RU Khan, IL Popa
Year: 2025
Citation: Fractal and Fractional 9 (5), 295
Source: Fractal and Fractional

📝 Some novel existence and stability results for a nonlinear implicit fractional differential equation with non-local boundary conditions
Authors: RU Khan, IL Popa
Year: 2025
Citation: Partial Differential Equations in Applied Mathematics 13, 101132
Source: Partial Differential Equations in Applied Mathematics

💡 New Results on the Stability and Existence of Langevin Fractional Differential Equations with Boundary Conditions
Authors: RU Khan, M Samreen, G Ali, IL Popa
Year: 2025
Citation: Fractal and Fractional 9 (2), 127
Source: Fractal and Fractional

🔬 Existence and Stability of Implicit Fractional Differential Equations Involving the p-Laplacian Operator and Their Applications
Authors: RU Khan, M Samreen, G Ali, IL Popa
Year: 2024
Citation: Physica Scripta
Source: Physica Scripta

🧮 On the qualitative analysis of the boundary value problem of the Ψ-Caputo implicit fractional pantograph differential equation
Authors: RU Khan, M Samreen, G Ali, I Argyros
Year: 2024
Citation: Journal of Applied Math 2 (6), 1977-1977
Source: Journal of Applied Math

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

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🎓 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.

Boris Kryzhanovsky | Applied Mathematics | Best Researcher Award

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Prof. Dr. Boris Kryzhanovsky | Applied Mathematics | Best Researcher Award

Chief researcher at Scientific Research Institute for System Analysis of the National Research Center “Kurchatov Institute”, Russia

Dr. Boris Kryzhanovsky is a distinguished researcher with over five decades of experience in the fields of quantum electrodynamics, laser physics, and mathematical methods in neural networks, statistical physics, and nanotechnology. He graduated from Yerevan State University in 1971 and has since contributed significantly to scientific advancements. His work includes pioneering research in nonstationary four-wave mixing, the development of vector neural networks with large memory, and innovative methods for calculating partition functions of spin systems. Dr. Kryzhanovsky has published over 200 articles in renowned journals and holds an h-index of 19, reflecting the impact of his research. He is also the Editor-in-Chief of Optical Memory and Neural Networks and a Corresponding Member of the Russian Academy of Sciences. His leadership and extensive collaboration with international scientific communities further underscore his prominent role in advancing research in his fields of expertise.

Professional Profile 

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Education

Dr. Boris Kryzhanovsky completed his education at Yerevan State University, Armenia, where he graduated from the Physical Department in 1971. His academic foundation laid the groundwork for a distinguished career in scientific research. Throughout his career, Dr. Kryzhanovsky has maintained a strong commitment to advancing his knowledge in complex scientific fields, particularly in quantum electrodynamics, laser physics, and mathematical methods applied to neural networks and statistical physics. His early training at one of Armenia’s most prestigious universities provided him with the critical thinking and theoretical skills that have shaped his extensive body of work in these areas.

Professional Experience

Dr. Kryzhanovsky’s professional career spans over five decades, starting as a scientific researcher at the Institute for Physical Research in Armenia (1971-1991). He later worked at the Institute for Optical-Neuron Technologies RAS (1996-2006) and currently holds a chief researcher position at the Scientific Research Institute for System Analysis RAS. His career has seen significant contributions to the fields of neural networks and statistical physics, with leadership roles including Editor-in-Chief of Optical Memory and Neural Networks. Dr. Kryzhanovsky’s work is widely recognized for its deep theoretical insights and practical applications in various scientific domains.

Research Interests

Dr. Kryzhanovsky’s research interests are diverse, encompassing neural networks, statistical physics, and nanotechnology. He has made groundbreaking contributions in developing mathematical methods for the analysis of neural networks, especially focusing on vector neural networks with large memory for recognizing noisy patterns. Additionally, his work on the theory of nonstationary processes in quantum electrodynamics and the development of methods for calculating partition functions of spin systems highlights his interdisciplinary approach. His research also explores nanotechnology, particularly in relation to statistical mechanics, contributing to advances in both theoretical and applied physics.

Awards and Honors

Dr. Kryzhanovsky has received numerous honors throughout his career, underpinned by his significant contributions to scientific research. He is a Corresponding Member of the Russian Academy of Sciences and holds leadership positions in various academic and scientific societies. His work is frequently cited, reflected in his impressive h-index of 19 on Google Scholar, and he has authored over 200 journal articles in reputable SCI and Scopus-indexed publications. His professional standing and achievements are also evident from his role as Editor-in-Chief of Optical Memory and Neural Networks, further cementing his reputation in the scientific community.

Conclusion

Dr. Boris Kryzhanovsky is a highly respected researcher whose contributions to quantum electrodynamics, laser physics, neural networks, and statistical physics have had a profound impact on both theoretical and applied sciences. His academic background, coupled with extensive professional experience, has led to groundbreaking research that continues to shape the direction of several scientific fields. With a remarkable publication record and leadership roles within the scientific community, Dr. Kryzhanovsky remains a key figure in advancing knowledge and innovation. His achievements and dedication to research make him a standout in his field, deserving recognition for his substantial contributions to science.

Publications Top Noted

 

 

 

Samir Brahim Belhaouari | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Samir Brahim Belhaouari | Applied Mathematics | Best Researcher Award

Associate Prof at College of Science and Engineering /Hamad Bin Khalifa University, Qatar

Dr. Samir Brahim Belhaouari is an accomplished Associate Professor at Hamad Bin Khalifa University, specializing in applied mathematics, optimization, pattern recognition, and machine learning. He holds a Ph.D. in Mathematical Sciences from the prestigious Federal Polytechnic School of Lausanne and a Master’s degree in Networks and Telecommunications from INP/ENSEEIHT in France. Dr. Belhaouari has over 300 published research papers and has made significant contributions to areas such as sustainable AI, bio-inspired neural networks, time-frequency transformations for prediction, and cryptography. His work has earned him numerous accolades, including Gold and Silver Medals at international exhibitions. He has been actively involved in global academic initiatives, with research collaborations in Europe, the USA, and the Middle East, and has led impactful research projects, such as AI solutions for medical imaging. With over 3,800 citations and an H-index of 32, Dr. Belhaouari’s innovative work continues to shape the future of applied mathematics and AI.

Professional Profile 

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Education

Dr. Samir Brahim Belhaouari completed his Ph.D. in Mathematical Sciences, focusing on stochastic processes and their applications, at the prestigious Federal Polytechnic School of Lausanne (EPFL) in Switzerland in 2006. Prior to that, he earned a Master’s degree in Networks and Telecommunications, specializing in signal and image processing, from INP/ENSEEIHT in France in 2000. This strong educational foundation has been key to his outstanding career in applied mathematics, optimization, and machine learning. His educational journey reflects a commitment to excellence and a deep understanding of complex mathematical and computational theories, which he continues to apply in his innovative research projects.

Professional Experience

Dr. Belhaouari is an Associate Professor in the Division of Information and Computing Technology at Hamad Bin Khalifa University, Qatar. His career includes previous academic positions at the University of Sharjah, Radiological Technologies University-VT, and INNOPOLIS University in Russia. He has also worked with top institutions such as EPFL and INP. His professional experience spans various continents, providing a global perspective on educational and research practices. Additionally, his extensive involvement in research projects and university leadership showcases his dedication to advancing both academic and practical knowledge.

Research Interest

Dr. Samir Brahim Belhaouari’s research interests encompass a wide array of topics, primarily focusing on applied mathematics, AI, machine learning, and optimization. His work delves into stochastic processes, bio-inspired neural networks, time-frequency transformations for time-series prediction, cryptographic algorithms, and sustainable AI. Notable projects include the development of green AI technologies, new neural network architectures, and advanced algorithms for feature extraction and video summarization. His research aims to bridge theoretical mathematics with real-world applications, particularly in fields like medical imaging, bioinformatics, and cryptography, thus contributing to the advancement of science and technology.

Award and Honor

Dr. Belhaouari’s groundbreaking research has been recognized globally with multiple awards, including Gold and Silver Medals at international exhibitions. His contributions to the field of applied mathematics and AI have earned him high regard in academia. With an impressive citation index exceeding 3,800 and an H-index of 32, his work is highly influential in both theoretical and applied contexts. Furthermore, his leadership in various international academic initiatives and his role in establishing INNOPOLIS University highlight his commitment to advancing education and research worldwide.

Conclusion

Dr. Samir Brahim Belhaouari is a distinguished academic and researcher whose work has made a significant impact on applied mathematics, AI, and machine learning. His expertise spans a wide range of subjects, from stochastic processes and optimization to cryptography and bioinformatics. His extensive professional experience and global research collaborations have cemented his reputation as a thought leader in his field. Through his dedication to both teaching and groundbreaking research, Dr. Belhaouari continues to contribute to the advancement of knowledge and the development of innovative solutions to real-world challenges. His recognition with numerous awards and honors serves as a testament to his excellence and lasting influence.

Publications Top Noted

  • Title: t-SNE-PSO: Optimizing t-SNE using particle swarm optimization
    Authors: M. Allaoui, S. Birahim Belhaouari, R. Hedjam, K. Bouanane, M.L. Kherfi
    Year: 2025
    Source: Expert Systems with Applications

  • Title: KNNOR-Reg: A python package for oversampling in imbalanced regression
    Authors: S. Birahim Belhaouari, A. Islam, K. Kassoul, A.I. Al-Fuqaha, A. Bouzerdoum
    Year: 2025
    Source: Software Impacts

  • Title: Intelligent mask image reconstruction for cardiac image segmentation through local–global fusion
    Authors: A. Boukhamla, A. Nabiha, S. Birahim Belhaouari
    Year: 2025
    Source: Applied Intelligence

  • Title: G-EEGCS: Graph-based optimum electroencephalogram channel selection
    Authors: I. Faye, M.Z. Yusoff, S. Birahim Belhaouari
    Year: 2024
    Source: Biomedical Signal Processing and Control

  • Title: Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection
    Authors: A.U. Rehman, S. Birahim Belhaouari, A. Bermak
    Year: 2024
    Citations: 2
    Source: Swarm and Evolutionary Computation

  • Title: Defense against adversarial attacks: robust and efficient compressed optimized neural networks
    Authors: I. Kraidia, A. Ghenai, S. Birahim Belhaouari
    Year: 2024
    Citations: 3
    Source: Scientific Reports

  • Title: Exploring new horizons in neuroscience disease detection through innovative visual signal analysis
    Authors: N.S. Amer, S. Birahim Belhaouari
    Year: 2024
    Citations: 6
    Source: Scientific Reports

  • Title: A novel few shot learning derived architecture for long-term HbA1c prediction
    Authors: M.K. Qaraqe, A. Elzein, S. Birahim Belhaouari, M.S. Ilam, G. Petrovski
    Year: 2024
    Citations: 2
    Source: Scientific Reports

  • Title: Elevating recommender systems: Cutting-edge transfer learning and embedding solutions
    Authors: A. Fareed, S. Hassan, S. Birahim Belhaouari, Z. Halim
    Year: 2024
    Citations: 1
    Source: Applied Soft Computing Journal

  • Title: FairColor: An efficient algorithm for the Balanced and Fair Reviewer Assignment Problem
    Authors: K. Bouanane, A.N. Medakene, A. Benbelghit, S. Birahim Belhaouari
    Year: 2024
    Citations: 1
    Source: Information Processing and Management

 

Pedro Américo Júnior | Numerical Analysis | Numerical Analysis Research Award

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Prof. Dr. Pedro Américo Júnior | Numerical Analysis | Numerical Analysis Research Award

Professor at PucMinas, Brazil

Pedro Américo Almeida Magalhães Júnior is a distinguished researcher with expertise spanning Electrical Engineering, Computer Science, Civil Engineering, and Mechanical Engineering. He holds multiple degrees, including a Ph.D. in Mechanical Engineering, a master’s in Electrical Engineering, and bachelor’s degrees in Electrical Engineering and Computer Science. His research focuses on numerical analysis, structural analysis, artificial intelligence, software engineering, optical metrology, and mechanical fatigue. As the creator of VCN-Visual Cálculo Numérico, he has contributed to computational advancements in numerical calculations. With extensive experience in academia and industry, he has taught subjects such as artificial intelligence, digital circuits, and computational applications. His work integrates mathematical modeling, engineering principles, and cutting-edge technologies. While his interdisciplinary expertise is impressive, further details on his publication record, research impact, and funding achievements would strengthen his profile for prestigious research awards. His contributions demonstrate innovation, technical depth, and a commitment to advancing engineering and applied mathematics.

Professional Profile 

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Education

Pedro Américo Almeida Magalhães Júnior has a diverse and extensive educational background spanning multiple engineering and computational disciplines. He earned a bachelor’s degree in Electrical Engineering from the Federal University of Minas Gerais (1989) and a bachelor’s degree in Computer Science from the Pontifical Catholic University of Minas Gerais (1989). Further expanding his expertise, he completed a specialization in Civil Engineering at Fundação Educacional Minas Gerais (1993). His academic journey continued with a master’s degree in Electrical Engineering from Pontifical Catholic University of Minas Gerais (2001), where he focused on finite element methods in undergraduate education. He later pursued a Ph.D. in Mechanical Engineering at the same institution (2009), with research centered on the Moiré shadow technique with phase shift using the generalization of the Carré algorithm. This multidisciplinary education has provided him with a strong foundation in numerical analysis, structural engineering, artificial intelligence, and computational methodologies, shaping his contributions to research and academia.

Professional Experience

Pedro Américo Almeida Magalhães Júnior has a diverse and extensive professional background spanning academia, research, and industry. He has worked as a professor at institutions such as Centro Universitário Unihorizontes and Pontifícia Universidade Católica do Paraná, teaching subjects in artificial intelligence, robotics, computer architecture, electrical materials, and numerical analysis. His expertise extends to engineering, where he has contributed to structural analysis, finite element methods, metrology, and computational modeling. He developed the VCN-Visual Cálculo Numérico software, demonstrating his proficiency in numerical computing. Pedro has also held positions in systems development, technology management, and data processing, working with companies like Gama Construtora Ltda and Sid Microelectronics. With a strong multidisciplinary foundation in electrical, mechanical, and civil engineering, as well as computer science, his career reflects a commitment to advancing knowledge in mathematical modeling, experimental mechanics, and industrial applications, reinforcing his contributions to both academia and practical engineering solutions.

Research Interest

Pedro Américo Almeida Magalhães Júnior’s research interests span multiple disciplines, reflecting his strong background in engineering, mathematics, and computational sciences. His work primarily focuses on numerical analysis, structural analysis, differential equations, statistical methods, and finite element modeling, with applications in mechanical and civil engineering. He is particularly interested in developing and refining computational techniques for solving complex mathematical and engineering problems, including optical metrology, mechanical fatigue, and resistance of materials. As the creator of VCN-Visual Cálculo Numérico, he has contributed to advancing numerical computing methodologies. His research also extends to artificial intelligence, software engineering, and industrial process optimization, demonstrating a multidisciplinary approach to solving real-world challenges. Additionally, his expertise in project management and metrology supports applied research in engineering innovation. Through his academic contributions, he aims to bridge the gap between theoretical advancements and practical applications, fostering technological progress in various engineering domains.

Award and Honor

Pedro Américo Almeida Magalhães Júnior has been recognized for his significant contributions to engineering, applied mathematics, and computational sciences. As a CNPq Level 2 Research Productivity Fellow, he has demonstrated excellence in research, innovation, and academia. His multidisciplinary expertise in numerical analysis, structural engineering, artificial intelligence, and computational modeling has earned him respect in the scientific community. The development of VCN-Visual Cálculo Numérico stands as a testament to his contributions to computational tools in engineering and mathematics. His dedication to advancing knowledge is reflected in his roles as a professor and researcher, shaping future generations of engineers and scientists. While specific awards and honors are not detailed in the available information, his extensive academic background, research output, and influence in multiple disciplines highlight his impact. His work continues to shape industry practices and academic methodologies, making him a distinguished figure in applied mathematics and engineering research.

Conclusion

Pedro Américo Almeida Magalhães Júnior is a distinguished researcher with a multidisciplinary background spanning electrical engineering, computer science, mechanical engineering, and civil engineering. His expertise in numerical analysis, structural analysis, artificial intelligence, and software engineering demonstrates a strong foundation in both theoretical and applied research. As the creator of VCN-Visual Cálculo Numérico, he has contributed to computational advancements in numerical calculations. His teaching experience in artificial intelligence, digital circuits, and engineering systems further reflects his commitment to knowledge dissemination. While his diverse expertise strengthens his candidacy for the Best Researcher Award, a more detailed record of high-impact publications, research citations, and funded projects would further reinforce his research influence. Highlighting specific contributions, innovations, and real-world applications of his work would enhance his recognition within the academic community. Overall, Pedro’s broad research scope and technical contributions make him a strong candidate, with opportunities to further solidify his academic impact.

Publications Top Noted

  • Behavior study of prestressed concrete wind-turbine tower in circular cross-section
    JA de Lana, PAAM Júnior, CA Magalhães, ALMA Magalhães, …
    Year: 2021 | Citations: 54
  • Mandibular canine intrusion with the segmented arch technique: A finite element method study
    GM Caballero, OA de Carvalho Filho, BO Hargreaves, HH de Araújo Brito, …
    Year: 2015 | Citations: 43
  • Stress‐Strain Compression of AA6082‐T6 Aluminum Alloy at Room Temperature
    AS Scari, BC Pockszevnicki, J Landre Junior, PAA Magalhães Junior
    Year: 2014 | Citations: 33
  • Study of Diamond-Like Carbon coating application on carbide substrate for cutting tools used in the drilling process of an Al–Si alloy at high cutting speeds
    PS Martins, PAAM Júnior, JRG Carneiro, ECT Ba, VF Vieira
    Year: 2022 | Citations: 32
  • Numerical analysis of the air flow in internal combustion engine intake ducts using Herschel-Quincke tubes
    RS Mazzaro, S de Morais Hanriot, RJ Amorim, PAAM Júnior
    Year: 2020 | Citations: 19
  • Numerical method to digital photoelasticity using plane polariscope
    PAAM Júnior, FG Vieira, CA Magalhães, JS Ribeiro, IG Rios
    Year: 2016 | Citations: 13
  • Analysis of stresses in a tapered roller bearing using three-dimensional photoelasticity and stereolithography
    FG Vieira, AS Scari, PAA Magalhães Júnior, JSR Martins, CA Magalhães
    Year: 2019 | Citations: 12
  • New numerical methods for the photoelastic technique with high accuracy
    C Almeida Magalhaes, P Americo Almeida Magalhaes
    Year: 2012 | Citations: 12
  • Mathematical Model and Programming in VBA Excel for Package Calculation
    JDR Lessa, PFR Lessa, PA Almeida, M Junior, HV Guimarães
    Year: 2016 | Citations: 7
  • Design of lattice wind turbine towers with structural optimization
    P Junior, IG Rios, TS Ferreira, ACDA Júnior, OA De Carvalho Filho, …
    Year: 2014 | Citations: 7
  • Higher-Order Newton-Cotes Formulas
    PAA Magalhaes, CA Magalhaes
    Year: 2010 | Citations: 7
  • New formulas of numerical quadrature using spline interpolation
    PAA Magalhaes, PAAM Junior, CA Magalhaes, ALMA Magalhaes
    Year: 2021 | Citations: 6
  • Structural analysis and structural optimization of self-supporting truss towers to support a large wind turbine
    JPAA MAGALHAES, IG Rios, TS Ferreira, JAC DE ANDRADE, …
    Year: 2014 | Citations: 6
  • Higher-order Newton-Cotes formulas
    PAAM Junior, CA Magalhaes
    Year: 2010 | Citations: 5
  • Generalization of Carre algorithm
    PAAM JUNIOR, PS NETO, CS de Barcellos
    Year: 2009 | Citations: 5
  • Evaluation of the stiffness effect of pipe supports in relation to static and dynamic loads in a flexibility analysis
    PAAM Junior, TM Portela
    Year: 2018 | Citations: 4
  • Separation of isochromatics and isoclinics phasemaps for the photoelastic technique with use phase shifting and a large number of high precision images
    CA Magalhães, PS Neto, A Magalhaes Jr PA, CS de Barcellos
    Year: 2013 | Citations: 4
  • New numerical method for the photoelastic technique
    PAA M Júnior, CA Magalhães, P Smith Neto
    Year: 2012 | Citations: 4
  • Generalization of Carré equation
    PAAM Junior, PS Neto, CS De Barcellos
    Year: 2011 | Citations: 4
  • New Carré equation
    P Magalhaes, P Neto, C Magalhães
    Year: 2010 | Citations: 4

 

 

Livija Cveticanin | Applied Mathematics | Best Researcher Award

Posted on by Math Scientist

Prof. Dr. Livija Cveticanin | Applied Mathematics | Best Researcher Award

Professor at Faculty of Technical Sciences, University of Novi Sad, Serbia

Prof. Livija Cveticanin is a distinguished academic and researcher, currently holding positions at the University of Novi Sad, Obuda University, and the Polytechnic University in Temisoara. She has made significant contributions to the fields of rotor dynamics and nonlinear vibrations, publishing over 200 journal papers, six monographs with renowned publishers, and co-authoring six textbooks. Prof. Cveticanin is known for developing the “Cveticanin Method,” a groundbreaking procedure for solving nonlinear differential equations in vibration analysis. Her research has garnered international recognition, placing her among the top 2% of most cited scientists globally according to Stanford University’s rankings. She has been an invited speaker at numerous international awards and is involved in high-profile projects such as COST CA15125 and the European SenVibe project. In addition to her research, Prof. Cveticanin is an active leader in scientific communities, serving as president of the Academy of Sciences of Vojvodina and editor-in-chief of the Analecta Technica Szegedinensia.

Professional Profile 

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Education

Prof. Livija Cveticanin’s educational journey reflects a distinguished academic path in mechanical engineering and nonlinear dynamics. She graduated with a degree in Mechanical Engineering from the University of Novi Sad, Serbia. Building on this solid foundation, she pursued advanced studies at the same institution, earning her PhD at the University of Novi Sad. Her academic ambitions further led her to the Hungarian Academy of Sciences in Budapest, where she obtained the prestigious Doctor of Science degree. Prof. Cveticanin’s academic expertise spans the fields of rotor dynamics, nonlinear vibrations, and complex mechanical systems, with significant contributions to solving strong nonlinear differential equations. She continues to shape the future of engineering education as a member of the Doctoral School of Safety and Security Sciences at Obuda University in Budapest and as a faculty member at various esteemed institutions in Europe. Her academic achievements are a testament to her commitment to excellence in both research and education.

Professional Experience

Prof. Livija Cveticanin has an illustrious academic career, holding prestigious positions at multiple renowned institutions. She is a Professor Emeritus at the University of Novi Sad in Serbia, a Professor at Obuda University in Hungary, and an Honorary Professor at the Polytechnic University in Timisoara, Romania. She earned her PhD at the University of Novi Sad and her Doctor of Science degree at the Hungarian Academy of Sciences in Budapest. Prof. Cveticanin has made significant contributions to the fields of rotor dynamics, nonlinear vibrations, and mechanical engineering, publishing over 200 journal papers, six monographs, and several chapters in international books. She developed the innovative “Cveticanin Method” for solving nonlinear differential equations of vibration. As a respected leader in her field, she has been a plenary speaker at numerous international awards, led international research projects, and served as Editor-in-Chief of Analecta Technica Szegedinensia. Her work has earned her recognition as one of the top 2% scientists globally.

Research Interest

Prof. Livija Cveticanin’s research interests primarily focus on the dynamics of rotors and machines with variable mass, as well as nonlinear vibrations in mechanical systems. Her pioneering work addresses the challenges of solving strong nonlinear differential equations of vibration, for which she developed the widely recognized Cveticanin Method. This method has become an important tool in the study of nonlinear vibrations. Prof. Cveticanin’s contributions extend to areas such as the application of analytical techniques to dynamic systems, including machinery and mechanical components subjected to complex, time-varying forces. Her expertise also covers the behavior of nonlinear dynamic systems under different operational conditions, which is crucial for designing more efficient and reliable mechanical systems. Prof. Cveticanin is involved in both theoretical research and practical applications, with significant contributions to engineering design, machine dynamics, and the development of methodologies for tackling difficult vibration problems.

Award and Honor

Prof. Livija Cveticanin has received numerous prestigious awards and honors throughout her distinguished career, recognizing her groundbreaking contributions to the field of nonlinear dynamics and mechanical engineering. Notably, she has been included in the Stanford University Ranking of the top 2% most influential scientists in the world, based on her lifetime publication and citation records. In 2001, Thomson Reuters awarded her for publishing the most cited one-author paper in Serbia, which was also ranked among the top 1% of the most cited papers in physics. Additionally, she has been honored with leadership roles, including being the president of the Academy of Sciences of Vojvodina and holding positions in several esteemed scientific organizations such as GAMM and IFToMM. Her remarkable achievements and contributions to academia have earned her international recognition, with invitations to lecture at renowned institutions, such as CISM in Udine, Italy, and the International PhD School of Nonlinear Sciences in São Paulo, Brazil.

Conclusion

Prof. Livija Cveticanin stands as an outstanding figure in the field of mechanical engineering and nonlinear dynamics, making profound contributions to rotor dynamics, vibrations, and differential equations. With over 200 journal papers and six monographs published by renowned publishers such as Springer, her work has earned global recognition. Notably, her innovative “Cveticanin Method” has become a fundamental tool in solving nonlinear vibration equations. Prof. Cveticanin’s leadership and involvement in international projects, such as COST CA15125 (DENORMS) and SenVibe, further solidify her status as a driving force in advancing the field. As the president of the Academy of Sciences of Vojvodina and Editor-in-Chief of Analecta Technica Szegedinensia, her influence extends beyond research into academia and international collaborations. Her recognition in the Stanford University ranking of the top 2% of most cited scientists globally exemplifies her lasting impact and underscores her eligibility for the Best Researcher Award.

Publications Top Noted

  • Title: Homotopy–perturbation method for pure nonlinear differential equation
    Authors: L. Cveticanin
    Year: 2006
    Citations: 330
  • Title: Dynamic modeling of a pneumatic muscle actuator with two-direction motion
    Authors: J. Sárosi, I. Biro, J. Nemeth, L. Cveticanin
    Year: 2015
    Citations: 131
  • Title: Oscillator with fraction order restoring force
    Authors: L. Cveticanin
    Year: 2009
    Citations: 110
  • Title: Strong nonlinear oscillators
    Authors: L. Cveticanin
    Year: 2018
    Citations: 108
  • Title: Dynamics of machines with variable mass
    Authors: L. Cveticanin
    Year: 2022
    Citations: 98
  • Title: Dynamic characterization and simulation of two-link soft robot arm with pneumatic muscles
    Authors: A. Hošovský, J. Piteľ, K. Židek, M. Tóthová, J. Sárosi, L. Cveticanin
    Year: 2016
    Citations: 89
  • Title: Oscillator with strong quadratic damping force
    Authors: L. Cveticanin
    Year: 2009
    Citations: 78
  • Title: Jacobi elliptic functions: a review of nonlinear oscillatory application problems
    Authors: I. Kovacic, L. Cveticanin, M. Zukovic, Z. Rakaric
    Year: 2016
    Citations: 75
  • Title: The homotopy-perturbation method applied for solving complex-valued differential equations with strong cubic nonlinearity
    Authors: L. Cveticanin
    Year: 2005
    Citations: 70
  • Title: Oscillator with a Sum of Noninteger‐Order Nonlinearities
    Authors: L. Cveticanin, T. Pogany
    Year: 2012
    Citations: 67
  • Title: Resonant vibrations of nonlinear rotors
    Authors: L. Cveticanin
    Year: 1995
    Citations: 66
  • Title: Dynamics of mechanical systems with non-ideal excitation
    Authors: L. Cveticanin, M. Zukovic, J. M. Balthazar
    Year: 2018
    Citations: 64
  • Title: Dynamics of the non-ideal mechanical systems: A review
    Authors: L. Cveticanin
    Year: 2010
    Citations: 62
  • Title: Vibrations of a coupled two-degree-of-freedom system
    Authors: L. Cveticanin
    Year: 2001
    Citations: 61
  • Title: Chaos in non-ideal mechanical system with clearance
    Authors: M. Zukovic, L. Cveticanin
    Year: 2009
    Citations: 59
  • Title: The motion of a two-mass system with non-linear connection
    Authors: L. Cveticanin
    Year: 2002
    Citations: 59
  • Title: Free vibration of a Jeffcott rotor with pure cubic non-linear elastic property of the shaft
    Authors: L. Cveticanin
    Year: 2005
    Citations: 55
  • Title: Conservation laws in systems with variable mass
    Authors: L. Cveticanin
    Year: 1993
    Citations: 55
  • Title: Sorption behavior of polycyclic aromatic hydrocarbons on biodegradable polylactic acid and various nondegradable microplastics: Model fitting and mechanism analysis
    Authors: M. Lončarski, V. Gvoić, M. Prica, L. Cveticanin, J. Agbaba, A. Tubić
    Year: 2021
    Citations: 53
  • Title: Approximate analytical solutions to a class of non-linear equations with complex functions
    Authors: L. Cveticanin
    Year: 1992
    Citations: 52