Irek Gubaydullin | Mathematical Modeling | Best Researcher Award

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Prof. Dr. Irek Gubaydullin | Mathematical Modeling | Best Researcher Award

Prof. Dr. Irek Gubaydullin at Institute of Petrochemistry and Catalysis – Subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences, Russia

Dr. Irek Marsovich Gubaydullin, born on May 21, 1959, is a distinguished Doctor of Physics and Mathematical Sciences and a Professor at the Institute of Petrochemistry and Catalysis, part of the Ufa Federal Research Centre of the Russian Academy of Sciences. He has authored over 300 scientific articles, with more than 100 indexed in international databases such as Web of Science and Scopus, including 17 in Q1 and Q2 quartiles. Dr. Gubaydullin holds over 30 certificates for computer program registrations and has supervised 8 PhD and 1 Doctoral thesis. He has also led 14 scientific research projects funded by the Russian National Science Foundation and the Russian Foundation for Basic Research. His key scientific contributions include developing computational systems for inverse problems in chemical kinetics, creating kinetic models for industrially significant reactions, and constructing mathematical models for mass transfer in fractured-pore type collectors. Dr. Gubaydullin’s work has significantly advanced the understanding and application of complex chemical processes, reflecting a profound commitment to scientific excellence.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Dr. Irek Marsovich Gubaydullin earned his Doctorate in Physics and Mathematical Sciences, establishing a robust foundation for his extensive research in chemical kinetics and mathematical modeling. His academic journey has been pivotal in his role as a professor at the Institute of Petrochemistry and Catalysis, Ufa Federal Research Centre of the Russian Academy of Sciences. Throughout his career, Dr. Gubaydullin has contributed significantly to the fields of computational chemistry and chemical engineering, authoring over 300 scientific articles and leading numerous research projects. His educational background has been instrumental in developing innovative methodologies and supervising emerging scholars in the scientific community.

Professional Experience

Dr. Irek Marsovich Gubaydullin, born on May 21, 1959, is a distinguished Doctor of Physics and Mathematical Sciences and a Professor at the Institute of Petrochemistry and Catalysis, a subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences. Throughout his illustrious career, Dr. Gubaydullin has authored over 300 scientific articles, with more than 100 indexed in international databases such as Web of Science and Scopus, including 17 in Q1 and Q2 quartiles. He holds over 30 certificates for computer program registrations, reflecting his significant contributions to computational methodologies in chemical kinetics and mass transfer modeling. As a mentor, he has supervised 8 PhD candidates and 1 doctoral thesis, fostering the next generation of scientists. Dr. Gubaydullin has also led 14 scientific research projects funded by the Russian National Science Foundation and the Russian Foundation for Basic Research, underscoring his leadership in advancing research in chemical kinetics, catalytic processes, and mathematical modeling.

Research Interest

Dr. Irek Marsovich Gubaydullin’s research interests are centered on the development of computational methods and mathematical models to solve complex problems in chemical kinetics and fluid dynamics. He has made significant contributions to the numerical modeling of piezoconductive processes in fractured-pore type reservoirs, employing finite difference methods to simulate fluid flow and heat transfer in porous media. His work also encompasses the reduction of chemical reaction mechanisms through sensitivity analysis, aiming to simplify complex chemical systems while maintaining accuracy. Additionally, Dr. Gubaydullin has explored the application of mathematical models in the optimization of chemical processes and the development of algorithms for selecting systems of horizontal wells in unconventional reservoirs. His interdisciplinary approach integrates principles from physics, chemistry, and mathematics to address challenges in petrochemical processes and reservoir engineering.

Award and Honor

Dr. Irek Marsovich Gubaydullin, born on May 21, 1959, is a distinguished Doctor of Physics and Mathematical Sciences and a Professor at the Institute of Petrochemistry and Catalysis, a subdivision of the Ufa Federal Research Centre of the Russian Academy of Sciences. Throughout his illustrious career, Dr. Gubaydullin has been recognized for his significant contributions to chemical kinetics and mathematical modeling. He has authored over 300 scientific articles, with more than 100 indexed in international databases such as Web of Science and Scopus, including 17 in Q1 and Q2 quartiles. Dr. Gubaydullin holds over 30 certificates for computer program registrations and has supervised 8 PhD and 1 Doctoral thesis. He has also led 14 scientific research projects funded by the Russian National Science Foundation and the Russian Foundation for Basic Research. His work has significantly advanced the understanding and application of complex chemical processes, reflecting a profound commitment to scientific excellence.

Conclusion

Dr. Irek Marsovich Gubaydullin is a distinguished researcher whose contributions to chemical kinetics, mathematical modeling, and computational methods have significantly impacted the fields of petrochemistry and catalysis. With over 300 scientific publications, including more than 100 indexed in Web of Science and Scopus, his research has demonstrated both depth and global relevance. His leadership in 14 scientific projects funded by prestigious research foundations, supervision of multiple PhD and doctoral theses, and development of novel methodologies for kinetic modeling, mass transfer analysis, and optimization of chemical reactions underscore his expertise and influence. His work in parallel computing, numerical algorithms, and catalyst regeneration has advanced industrial applications and theoretical frameworks alike. Dr. Gubaydullin’s dedication to scientific excellence, innovation, and mentorship solidifies his standing as a leading researcher. His groundbreaking contributions make him a highly deserving candidate for the Best Researcher Award, recognizing his lasting impact on science and technology.

Publications Top Noted

  • Title: Parallel Algorithms for Solving Mass Transfer Equations in the “Fracture Set – Matrix System”
    Authors: Ravil Uzyanbaev, Yury Poveshchenko, Viktoriia Podryga, Sergey Polyakov, Yuliya Bobreneva, Parvin Rahimly, Irek Gubaydullin
    Year: 2025
    Source: Book Chapter (Crossref)
  • Title: Numerical modeling of piezoconductive processes in a two-dimensional formulation for a fractured-pore type reservoir
    Authors: Ravil Munirovich Uzyanbaev, Yuliya Olegovna Bobreneva, Yuri Andreevich Poveschenko, Victoria Olegovna Podryga, Sergey Vladimirovich Polyakov, Irek Marsovich Gubaydullin
    Year: 2024
    Source: Keldysh Institute Preprints (Crossref)
  • Title: Parallel Algorithm for Calculating Two-Phase Filtration Processes in a Carbonate Reservoir in Plane Geometry
    Authors: Ravil M. Uzyanbaev, Yury A. Poveshchenko, Yuliya O. Bobreneva, Parvin I. Rahimly, Irek M. Gubaydullin
    Year: 2024
    Source: Book Chapter (Crossref)
  • Title: Numerical Modeling of Two-Phase Fluid Filtration for Carbonate Reservoir in Two-Dimensional Formulation
    Authors: Ravil M. Uzyanbaev, Yuliya O. Bobreneva, Yury A. Poveshchenko, Viktoriia O. Podryga, Sergey V. Polyakov, Parvin I. Rahimly, Irek M. Gubaydullin
    Year: 2024
    Source: Mathematics (Crossref)
  • Title: Averaging of the model of a chemical process in a catalyst layer with a spherical grain
    Authors: O.S. Yazovtseva, I.M. Gubaydullin, I.G. Lapshin
    Year: 2024
    Source: Numerical Methods and Programming (Crossref)
  • Title: Modeling of Chemical Processes Based on Parallel Computing for Multicore Systems
    Authors: Zagir Telyavgulov, Ilnur Akhmetov, Irek Gubaydullin
    Year: 2023
    Source: Book Chapter (Crossref)
  • Title: Using Parallel Technologies to Calculate Fluid Dynamic Processes in a Fractured-Porous Reservoir Taking into Account Non-isothermality
    Authors: Ravil M. Uzyanbaev, Yury A. Poveshchenko, Viktoriia O. Podryga, Sergey V. Polyakov, Yuliya O. Bobreneva, Parvin I. Rahimly, Irek M. Gubaydullin
    Year: 2023
    Source: Book Chapter (Crossref)
  • Title: A Kinetic Model of Catalytic Homocondensation of Acetone into Mesitylene
    Authors: V. Yu. Kirsanov, N. G. Grigor’eva, B. I. Kutepov, L. F. Korzhova, S. G. Karchevskii, A. A. Usmanova, K. F. Koledina, I. M. Gubaidullin
    Year: 2023
    Source: Petroleum Chemistry (Crossref)
  • Title: One Approach to Numerical Modeling of the Heat and Mass Transfers of Two-Phase Fluids in Fractured-Porous Reservoirs
    Authors: Yuliya O. Bobreneva, Yury Poveshchenko, Viktoriia O. Podryga, Sergey V. Polyakov, Ravil M. Uzyanbaev, Parvin I. Rahimly, Ainur A. Mazitov, Irek M. Gubaydullin
    Year: 2023
    Source: Mathematics (Crossref)
  • Title: Mathematical modeling of a multiphase flow in a single-pore reservoir
    Authors: Ainur Asgatovich Mazitov, Yuliya Olegovna Bobreneva, Irek Marsovich Gubaydullin, Yuri Andreevich Poveschenko
    Year: 2022
    Source: Keldysh Institute Preprints (Crossref)
  • Title: Parallel Computing in Solving the Problem of Interval Multicriteria Optimization in Chemical Kinetics
    Authors: Sergey Koledin, Kamila Koledina, Irek Gubaydullin
    Year: 2022
    Source: Book Chapter (Crossref)
  • Title: Parallel Algorithm for Calculating the Radius of Stability in Multicriteria Optimization Conditions for Catalytic Reforming of Gasoline
    Authors: Kamila Koledina, Sergey Koledin, Irek Gubaydullin
    Year: 2021
    Source: Book Chapter (Crossref)
  • Title: Pareto Frontier in Multicriteria Optimization of Chemical Processes Based on a Kinetic Model
    Authors: Kamila Koledina, Sergey Koledin, Irek Gubaydullin
    Year: 2021
    Source: Book Chapter (Crossref)
  • Title: Study of a mathematical model of gasoline catalytic reforming by sensitivity analysis methods
    Authors: L.F. Safiullina, K.F. Koledina, I.M. Gubaydullin, R.Z. Zainullin
    Year: 2020
    Source: Numerical Methods and Programming (Crossref)
  • Title: Forecast of water-cut at wells under design by machine learning methods
    Authors: Enikeev, M.R.; Fazlytdinov, M.F.; Enikeeva, L.V.; Gubaidullin, I.M.
    Year: 2019
    Source: CEUR Workshop Proceedings (Scopus – Elsevier)
  • Title: Kinetics and Mechanism of the Synthesis of Benzylbutyl Ether in the Presence of Copper-Containing Catalysts
    Authors: Koledina, K.F.; Gubaidullin, I.M.; Koledin, S.N.; Baiguzina, A.R.; Gallyamova, L.I.; Khusnutdinov, R.I.
    Year: 2019
    Source: Russian Journal of Physical Chemistry A (Scopus – Elsevier)
  • Title: Numerical analysis of gas flow dynamics of propane pyrolysis
    Authors: I. M. Gubaydullin, L. F. Nurislamova
    Year: 2018
    Source: Vestnik of Don State Technical University (Crossref)
  • Title: Numerical analysis of parameter identifiability for a mathematical model of a chemical reaction
    Authors: L.F. Nurislamova, I.M. Gubaydullin
    Year: 2018
    Source: Numerical Methods and Programming (Crossref)
  • Title: Analysis of corrosion process development on metals by means of computer vision
    Authors: Enikeev, M.; Gubaydullin, I.; Maleeva, M.
    Year: 2017
    Source: Engineering Journal (Scopus – Elsevier)
  • Title: Interplay of Conformational and Chemical Transformations of Ortho-Substituted Aromatic Nitroso Oxides: Experimental and Theoretical Study
    Authors: Chainikova, E.M.; Yusupova, A.R.; Khursan, S.L.; Teregulova, A.N.; Lobov, A.N.; Abdullin, M.F.; Enikeeva, L.V.; Gubaydullin, I.M.; Safiullin, R.L.
    Year: 2017
    Source: Journal of Organic Chemistry (Scopus – Elsevier)

 

Maryam Alkandari | Pure Mathematics | Best Researcher Award

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Dr. Maryam Alkandari | Pure Mathematics | Best Researcher Award

 Associate Prof at Kuwait University, Kuwait

Dr. Maryam Mohammad Alkandari is an esteemed Associate Professor in the Department of Mathematics at Kuwait University, specializing in algebraic geometric coding theory, fractional calculus, and applied mathematics. She earned her Ph.D. from Imperial College London in 2003 and has since made significant contributions to mathematical research. With over 18 high-impact publications in renowned journals and a Springer Nature book, her work spans differential equations, operational calculus, and mathematical modeling. She has led seven major research projects, receiving multiple grants and awards. Dr. Alkandari is also dedicated to education, contributing to mathematics pedagogy and autism research. She has presented at international awards and collaborated on interdisciplinary projects. Her research continues to influence pure and applied mathematics, with potential for industrial applications. With a strong academic foundation and impactful contributions, she stands as a leading researcher in her field, making her an excellent candidate for prestigious research awards.

Professional Profile 

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Scopus Profile

Education

Dr. Maryam Mohammad Alkandari holds a Ph.D. in Algebraic Geometric Coding Theory from Imperial College London, UK, awarded in 2003. Alongside her doctorate, she earned a Diploma in Algebra from Imperial College the same year. She previously completed her M.S. in Pure Mathematics in 1997 and a B.S. in Mathematics in 1994, both from Kuwait University. Her doctoral research, titled “Decoding Partial Geometric Codes,” focused on advanced algebraic structures and coding theory, demonstrating her expertise in mathematical problem-solving. Over the years, she has expanded her research into applied mathematics, fractional calculus, and mathematical modeling. With a strong foundation in pure and applied mathematics, Dr. Alkandari has significantly contributed to her field through research, teaching, and mentorship. Her academic journey reflects a commitment to innovation, interdisciplinary studies, and advancing mathematical knowledge in both theoretical and practical applications.

Professional Experience

Dr. Maryam Mohammad Alkandari is an accomplished mathematician and Associate Professor at Kuwait University with over two decades of academic and research experience. She specializes in applied mathematics, algebraic geometric coding theory, and fractional calculus. Since earning her Ph.D. from Imperial College London in 2003, she has held key academic positions, contributing significantly to mathematical research and education. As a principal investigator, she has led multiple funded projects, including studies on fractional calculus, operational methods, and mathematical modeling. Dr. Alkandari has published extensively in high-impact journals and authored a book with Springer Nature Switzerland. She actively participates in international awards and collaborates on interdisciplinary research, including mathematics education and autism studies. Her mentorship, leadership in research, and commitment to advancing mathematical sciences have earned her prestigious grants and recognition. Dr. Alkandari continues to push the boundaries of mathematical applications, making significant contributions to both academia and industry.

Research Interest

Dr. Maryam Mohammad Alkandari’s research interests lie in applied mathematics, fractional calculus, algebraic geometric coding theory, and differential equations, with a strong focus on both theoretical advancements and practical applications. Her work extensively explores operational calculus, algebraic structures, and numerical methods for solving complex mathematical problems. She has made significant contributions to fractional differential equations, oscillation theory, and integral transforms, with applications in engineering, physics, and mathematical modeling. Dr. Alkandari is also interested in mathematics education and pedagogical approaches, particularly the integration of technology in learning and teaching methodologies. Her interdisciplinary research extends to mathematical models in autism education, demonstrating the societal impact of her work. Additionally, she is involved in research projects that explore novel mathematical techniques in oil production and refining. Through her prolific publications, funded research projects, and international collaborations, Dr. Alkandari continues to push the boundaries of applied mathematics and its real-world applications.

Award and Honor

Dr. Maryam Mohammad Alkandari has received numerous awards and honors in recognition of her outstanding contributions to applied mathematics, fractional calculus, and algebraic geometric coding theory. She has been the Principal Investigator (PI) on seven major research projects funded by Kuwait University, including groundbreaking studies on operational methods in fractional calculus and mathematical modeling in oil production. Her excellence in research has been acknowledged through multiple grant awards, including the prestigious Project Award for Operational Method in Fractional Calculus (SM01/17, SM01/20). Additionally, she has been honored with unfunded rewarded papers from Kuwait University’s Research Sector, highlighting her influential publications in top-tier journals. Dr. Alkandari has presented her work at international awards in Turkey, Taiwan, and Kuwait, further solidifying her global academic reputation. With her extensive contributions to research, education, and mentorship, she continues to be a leading figure in applied mathematics, earning well-deserved recognition and respect in the field.

Conclusion

Dr. Maryam Mohammad Alkandari is an accomplished researcher and academic in applied mathematics, specializing in algebraic geometric coding theory, fractional calculus, and differential equations. With a Ph.D. from Imperial College London and over two decades of experience at Kuwait University, she has made significant contributions through numerous high-impact publications, funded research projects, and international award presentations. Her work spans theoretical advancements and practical applications, including innovative mathematical methods in education and autism research. Recognized with multiple research grants and awards, she has demonstrated leadership in interdisciplinary studies and academic mentorship. While her research impact is commendable, further international collaborations, industry applications, and editorial leadership could elevate her global influence. Dr. Alkandari’s dedication to advancing mathematical sciences and her contributions to education make her a strong candidate for prestigious research awards, positioning her as a leading figure in applied mathematics with the potential to make lasting global contributions.

Publications Top Noted

  • Operational Calculus for the General Fractional Derivatives of Arbitrary Order
    • Authors: M. Al-Kandari, L.A.M. Hanna, Y. Luchko
    • Year: 2022
    • Citations: 18
  • Operational Method for Solving Fractional Differential Equations with the Left-and Right-Hand Sided Erdélyi-Kober Fractional Derivatives
    • Authors: L.A.M. Hanna, M. Al-Kandari, Y. Luchko
    • Year: 2020
    • Citations: 16
  • A Fuzzy-Statistical Tolerance Interval from Residuals of Crisp Linear Regression Models
    • Authors: M. Al-Kandari, K. Adjenughwure, K. Papadopoulos
    • Year: 2020
    • Citations: 13
  • Half-Linear Differential Equations of Fourth Order: Oscillation Criteria of Solutions
    • Authors: O. Bazighifan, K.S. Al-Ghafri, M. Al-Kandari, F. Ghanim, F. Mofarreh
    • Year: 2022
    • Citations: 7
  • Delay Differential Equations of Fourth-Order: Oscillation and Asymptotic Properties of Solutions
    • Authors: O. Bazighifan, M. Al-Kandari, K.S. Al-Ghafri, F. Ghanim, S. Askar, G.I. Oros
    • Year: 2021
    • Citations: 7
  • Calculus 1 College Students’ Concept of Function
    • Authors: A.H. Alajmi, M.M. Al-Kandari
    • Year: 2022
    • Citations: 5
  • New Criteria for Oscillation of Half-Linear Differential Equations with p-Laplacian-like Operators
    • Authors: O. Bazighifan, F. Ghanim, J. Awrejcewicz, K.S. Al-Ghafri, M. Al-Kandari
    • Year: 2021
    • Citations: 4
  • Enhancing Kuwaiti Teachers’ Technology-Assisted Mathematics Teaching Practices
    • Authors: M. Soliman, Z. Lavicza, T. Prodromou, M. Al-Kandari, T. Houghton
    • Year: 2019
    • Citations: 4
  • Some Oscillation Results for Even-Order Differential Equations with Neutral Term
    • Authors: M. Al-Kandari, O. Bazighifan
    • Year: 2021
    • Citations: 3
  • On an Extension of the Mikusiński Type Operational Calculus for the Caputo Fractional Derivative
    • Authors: M. Al-Kandari, L.A.M. Hanna, Y. Luchko
    • Year: 2021
    • Citations: 3
  • A Convolution Family in the Dimovski Sense for the Composed Erdélyi-Kober Fractional Integrals
    • Authors: M. Al-Kandari, L.A.M. Hanna, Y.F. Luchko
    • Year: 2019
    • Citations: 3
  • Operational Calculus for the 1st Level General Fractional Derivatives and its Applications
    • Authors: M. Al-Kandari, Y. Luchko
    • Year: 2024
    • Citations: 2
  • A New Modification of an Iterative Method Based on Inverse Polynomial for Solving Cauchy Problems
    • Authors: A.H. Ali, O. Alabdali, M.T. Yaseen, M. Al-Kandari, O. Bazighifan
    • Year: 2023
    • Citations: 1

 

 

Muhammad Nasim Aftab | Applied Mathematics | Best Researcher Award

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Prof. Muhammad Nasim Aftab | Applied Mathematics | Best Researcher Award

Lecturer at Punjab group of colleges, Okara campus Pakistan

Muhammad Nasim Aftab is a dedicated mathematician and researcher specializing in Quantum Calculus, Integral Inequalities, and Algebra. He holds an MS in Mathematics from COMSATS University, Lahore, with a GPA of 3.62/4.00, and an M.Sc. in Mathematics from University of Education, Lahore. His research contributions include multiple publications in reputed journals, such as AIMS Mathematics, Mathematics, and the Journal of Inequalities and Applications, with several additional manuscripts under review. He has been a lecturer at Punjab Group of Colleges, Okara Campus, since 2014, teaching a wide range of mathematical subjects. His expertise extends to LaTeX, MATLAB, and Python, enhancing his computational research skills. Passionate about academia, he actively engages in problem-solving and mathematical innovations. While his work is commendable, furthering international collaborations, high-impact journal publications, and award participation could elevate his research impact. His dedication to mathematics and education makes him a strong contender for research excellence awards.

Professional Profile 

Google Scholar

Education

Muhammad Nasim Aftab holds a strong academic background in Mathematics, with both MS and MSc degrees in the field. He earned his Master of Science (MSc) in Mathematics from the University of Education, Lahore (Okara Campus) in 2016, securing a 3.40/4.00 GPA. His coursework covered advanced topics, including Real Analysis, Complex Analysis, Functional Analysis, Numerical Analysis, Differential Geometry, and Graph Theory. Pursuing further specialization, he completed his MS in Mathematics from COMSATS University, Islamabad (Lahore Campus) in 2021, achieving a 3.62/4.00 GPA. His MS thesis, titled “Cohen-Macaulayness in Codimension for Line Simplicial Complexes,” focused on algebraic and combinatorial aspects of simplicial complexes. Throughout his education, he excelled in subjects like Graph Theory, Fuzzy Logic, Fixed Point Theory, Mathematical Analysis, and Topology. His academic journey reflects a deep commitment to mathematical research, analytical thinking, and problem-solving, making him a strong researcher in the field.

Professional Experience

Muhammad Nasim Aftab has been serving as a Lecturer in Mathematics at Punjab Group of Colleges, Okara Campus, since 2014, where he has taught a diverse range of mathematical subjects, including Calculus, Abstract Algebra, Linear Algebra, Graph Theory, Number Theory, Differential Equations, and Mathematical Analysis. His extensive teaching experience spans both undergraduate and intermediate levels, reflecting his strong command over mathematical concepts and pedagogy. In addition to his teaching responsibilities, he has been actively engaged in research, publishing papers in reputed journals on topics such as Quantum Calculus, Integral Inequalities, and Algebra. His ability to integrate advanced mathematical theories with real-world applications showcases his expertise and dedication to the field. Furthermore, his proficiency in LaTeX, MATLAB, and Python enhances his ability to conduct numerical simulations and research-driven computations. His commitment to academia, research, and innovation makes him a valuable contributor to the field of mathematics.

Research Interest

Muhammad Nasim Aftab’s research interests lie in the fields of Quantum Calculus, Integral Inequalities, Algebra, and Graph Theory, with a strong focus on Symmetric Quantum Calculus and its Applications. His work explores Cohen-Macaulayness in Codimension for Line Simplicial Complexes, advancing algebraic topology and combinatorial mathematics. He is particularly interested in developing new mathematical inequalities in quantum and post-quantum settings, contributing to the theoretical foundations of applied mathematics. His recent research on symmetric Hahn calculus, Z-transforms in quantum calculus, and post-quantum integral inequalities highlights his dedication to expanding mathematical frameworks. Additionally, he is keen on exploring the interplay between advanced algebraic structures and real-world applications, particularly in optimization, numerical analysis, and cryptographic systems. With a strong background in functional analysis, topology, and differential geometry, he aims to contribute innovative solutions to complex mathematical problems while fostering interdisciplinary research collaborations.

Award and Honor

Muhammad Nasim Aftab has demonstrated exceptional dedication to the field of Mathematics, earning recognition for his contributions to Quantum Calculus, Integral Inequalities, and Algebra. As a lecturer at Punjab Group of Colleges, he has played a pivotal role in shaping young mathematical minds. His academic excellence, reflected in his MS in Mathematics with a 3.62/4.00 GPA from COMSATS University, has laid a strong foundation for his research career. His contributions to high-impact journals such as AIMS Mathematics, Mathematics, and the Journal of Inequalities and Applications highlight his research prowess, while multiple manuscripts under review further demonstrate his active engagement in advancing mathematical knowledge. Under the mentorship of Dr. Saad Ihsan Butt, he has published groundbreaking work on symmetric quantum inequalities. His proficiency in LaTeX, MATLAB, and Python adds a computational edge to his expertise. With a strong research portfolio and commitment to academia, he is a deserving candidate for prestigious awards and honors.

Conclusion

Muhammad Nasim Aftab is a dedicated researcher in mathematics with a strong academic background, evidenced by his MS in Mathematics from COMSATS University and a commendable research portfolio in Quantum Calculus, Integral Inequalities, and Graph Theory. His publications in reputable journals, along with multiple submitted manuscripts, highlight his commitment to advancing mathematical sciences. As a lecturer at Punjab Group of Colleges since 2014, he has significantly contributed to mathematics education, shaping the next generation of scholars. His proficiency in LaTeX, MATLAB, and Python enhances his computational research capabilities. While his research contributions are impressive, expanding collaborations, targeting high-impact journals, and increasing participation in international awards could further solidify his reputation. Pursuing a Ph.D. would also elevate his expertise and professional standing. Overall, his dedication to mathematical research and education makes him a strong candidate for recognition, and he holds great potential for further contributions to the field.

Publications Top Noted

  • Title: Some Hermite-Hadamard and Midpoint Type Inequalities in Symmetric Quantum Calculus
    • Authors: S.I. Butt, M.N. Aftab, H.A. Nabwey, S. Etemad
    • Year: 2024
    • Citations: 5
  • Title: Symmetric Quantum Inequalities on Finite Rectangular Plane
    • Authors: S.I. Butt, M.N. Aftab, Y. Seol
    • Year: 2024
    • Citations: 3
  • Title: Novel Notions of Symmetric Hahn Calculus and Related Inequalities
    • Authors: S.I. Butt, M.N. Aftab, A. Fahad, Y. Wang, B.B. Mohsin
    • Year: 2024
  • Title: Cohen-Macaulayness in Codimension for Line Simplicial Complexes
    • Authors: M.N. Aftab
    • Year: 2021

 

 

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

 

 

Aviv Gibali | Applied Mathematics | Best Researcher Award

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Prof. Aviv Gibali | Applied Mathematics | Best Researcher Award

Researcher at Holon Institute of Technology, Israel

Dr. Aviv Gibali is a distinguished mathematician and researcher specializing in applied mathematics, optimization, and variational inequalities. He holds a Ph.D. from the Technion – Israel Institute of Technology and has completed postdoctoral studies at the Fraunhofer Institute for Industrial Mathematics in Germany. Currently serving as the Head of the Department of Applied Mathematics at HIT – Holon Institute of Technology, he has previously held leadership roles at ORT Braude College of Engineering. Dr. Gibali has made significant contributions through numerous scholarly publications, award presentations, and editorial positions in prestigious journals. His expertise spans optimization algorithms, superiorization techniques, and mathematical modeling with applications in science and engineering. Actively engaged in international collaborations and academic committees, he has also received multiple awards for his impactful research. His dedication to advancing mathematical methodologies and their real-world applications establishes him as a leading figure in the field.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Dr. Aviv Gibali holds a strong academic background in mathematics, with degrees from prestigious institutions. He earned his Ph.D. in Mathematics from the Technion – Israel Institute of Technology in 2012, where his doctoral research focused on algorithms for solving variational inequalities and their applications under the supervision of Prof. Simeon Reich and Prof. Yair Censor. Prior to that, he completed his M.Sc. in Mathematics at the University of Haifa in 2008, working on iterative algorithms for solving variational inequality problems under the guidance of Prof. Yair Censor. His academic journey began with a B.Sc. in Mathematics from the University of Haifa in 2005. Following his Ph.D., Dr. Gibali pursued postdoctoral research in optimization at the Fraunhofer Institute for Industrial Mathematics (ITWM) in Kaiserslautern, Germany, from 2012 to 2014. His educational foundation has equipped him with deep expertise in mathematical modeling, optimization, and computational algorithms.

Professional Experience

Dr. Aviv Gibali is an accomplished mathematician and researcher specializing in optimization, variational inequalities, and applied mathematics. He currently serves as the Head of the Department of Applied Mathematics at HIT – Holon Institute of Technology and holds the rank of Associate Professor. Previously, he was an Associate Professor and Head of the Mathematics Department at ORT Braude College of Engineering. Dr. Gibali completed his Ph.D. at The Technion – Israel Institute of Technology and pursued postdoctoral research at the Fraunhofer Institute for Industrial Mathematics in Germany. His extensive academic contributions include serving as an associate editor for multiple prestigious journals, organizing international awards, and collaborating with leading institutions worldwide. With numerous invited talks, scientific visits, and interdisciplinary research projects, he has significantly advanced the field of mathematical optimization. His expertise spans theoretical advancements and industrial applications, earning him multiple awards and recognition in applied and computational mathematics.

Research Interest

Dr. Aviv Gibali’s research interests lie at the intersection of applied mathematics, optimization, and computational methods, with a strong focus on projection algorithms, variational inequalities, and convex feasibility problems. His work spans both theoretical advancements and real-world applications, particularly in industrial mathematics, medical imaging, radiation therapy planning, and data science. He has made significant contributions to superiorization techniques, an innovative approach to improving iterative algorithms for constrained optimization problems. Dr. Gibali is also actively engaged in developing and analyzing numerical algorithms for large-scale optimization, leveraging mathematical modeling to solve complex problems in engineering, machine learning, and healthcare. His interdisciplinary collaborations with international research institutions and industry partners enhance the practical impact of his studies. With a keen interest in mathematical education, he also contributes to innovative pedagogical methods, fostering a new generation of researchers in applied and computational mathematics.

Award and Honor

Dr. Aviv Gibali, a distinguished mathematician and researcher, has been widely recognized for his outstanding contributions to applied mathematics and optimization. He has received numerous accolades, including the prestigious Fourth Most Cited Article Award from Optimization Methods and Software in 2021, highlighting the impact of his research. In 2020, he secured First Prize in the Hackathon on Free Writing Home Exams, organized by Tel-Aviv University and Shenkar, demonstrating his innovative approach to education. His scholarly excellence has also been acknowledged through esteemed fellowships such as the Mathematics for Industry Network’s Short-Term Scientific Mission (2018) in Germany and the Austria-Israel Academic Network Innsbruck (AIANI) Fellowship (2017). With an extensive academic career, editorial roles in leading journals, and significant contributions to industrial mathematics, Dr. Gibali’s work continues to shape the field, earning him widespread recognition and respect within the global mathematical community.

Conclusion

Dr. Aviv Gibali is a distinguished researcher in applied mathematics, with a prolific academic career spanning optimization, variational inequalities, and superiorization techniques. His extensive contributions include over a decade of impactful research, international collaborations, editorial roles in leading mathematical journals, and leadership positions in academia. As an associate professor and head of the Department of Applied Mathematics at HIT – Holon Institute of Technology, Dr. Gibali has played a pivotal role in advancing mathematical research and fostering industry-academic partnerships. His numerous scientific visits, award organizations, and editorial engagements reflect his dedication to global knowledge dissemination. Recognized with prestigious awards and citations, he has demonstrated excellence in both theoretical advancements and real-world applications. While his achievements are remarkable, continued exploration of interdisciplinary applications and mentorship initiatives could further enhance his academic influence. Dr. Gibali’s scholarly impact and leadership make him a highly deserving candidate for the Best Researcher Award.

Publications Top Noted

  • Multidimensional Evolution Effects on Non-Cooperative Strategic Games
    Authors: Shipra Singh, Aviv Gibali, Simeon Reich
    Year: 2024
    Source: Mathematics
  • Resolvent-Free Method for Solving Monotone Inclusions
    Authors: Yan Tang, Aviv Gibali
    Year: 2023
    Source: Axioms
  • Special Issue “Symmetry in Optimization and Control with Real-World Applications”
    Authors: Kok Lay Teo, Aviv Gibali, Yong Wu
    Year: 2022
    Source: Symmetry
  • New Self-Adaptive Inertial-Like Proximal Point Methods for the Split Common Null Point Problem
    Authors: Yan Tang, Yeyu Zhang, Aviv Gibali
    Year: 2021
    Source: Symmetry
  • Multi-Time Generalized Nash Equilibria with Dynamic Flow Applications
    Authors: Shipra Singh, Aviv Gibali, Simeon Reich
    Year: 2021
    Source: Mathematics
  • An Analytic and Numerical Investigation of a Differential Game
    Authors: Aviv Gibali, Oleg Kelis
    Year: 2021
    Source: Axioms
  • Projected-Reflected Subgradient-Extragradient Method and Its Real-World Applications
    Authors: Aviv Gibali, O.S. Iyiola, Lanre Akinyemi, Yekini
    Year: 2021
    Source: Symmetry
  • A Symmetric FBF Method for Solving Monotone Inclusions
    Authors: Aviv Gibali, Yekini
    Year: 2020
    Source: Symmetry
  • Inertial Krasnoselskii–Mann Method in Banach Spaces
    Authors: Yekini Shehu, Aviv Gibali
    Year: 2020
    Source: Mathematics

 

Navneet Kumar Lamba | Applied Mathematics | Best Researcher Award | 2055

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Assist. Prof. Dr. Navneet Kumar Lamba | Applied Mathematics | Best Researcher Award

 Assistant Professor at Shri Lemdeo Patil Mahavidyalaya, Mandhal India

Dr. Navneet Kumar Lamba is an accomplished mathematician and researcher, currently serving as an Assistant Professor in the Department of Mathematics at Shri Lemdeo Patil Mahavidyalaya, Mandhal. With over 13 years of teaching and research experience, he specializes in Operations Research, Mathematical Modeling, Optimization Problems, and Solid Mechanics. He has published 60 research papers in peer-reviewed, Scopus, and Web of Science journals, authored 9 books, and contributed 3 book chapters. His research on infectious disease modeling, particularly COVID-19, has been widely recognized. He has received prestigious accolades, including the Research Excellence Award-2021 (UK) and multiple Best Paper Awards. Dr. Lamba has successfully supervised Ph.D. scholars and plays a key role in various academic committees. An active member of multiple professional bodies, he has also organized national awards. His commitment to research and academia makes him a distinguished scholar in the field of Computational Mathematics.

Professional Profile 

Scopus Profile
ORCID Profile 

Education

Dr. Navneet Kumar Lamba holds a Ph.D. in Mathematics from R.T.M. Nagpur University, awarded in 2013, demonstrating his expertise in advanced mathematical research. He earned his Master of Science (M.Sc.) in Mathematics from the same university in 2007, securing the 3rd Merit position at the university level with an impressive 67.7%. His Bachelor of Science (B.Sc.) degree, with a focus on Physics, Chemistry, and Mathematics, was completed at D.A.V. College, Jalandhar, under Guru Nanak Dev University, Amritsar, in 2005 with 63.5% (First Division). His early education includes Higher Secondary (XII) from St. Thomas School, Jalandhar (CBSE, New Delhi), where he scored 60.5%, and Secondary Education (X) from Bright Buds School, Jaipur (Rajasthan Board) with 59.33%. His strong academic foundation, coupled with continuous research and teaching excellence, has contributed significantly to his standing as a distinguished mathematician and educator.

Professional Experience

Dr. Navneet Kumar Lamba is a distinguished academician and researcher with over 13 years and 2 months of experience in teaching and research. Currently serving as an Assistant Professor and Head of the Department of Mathematics at Shri Lemdeo Patil Mahavidyalaya, Mandhal, he has made significant contributions to the fields of Operations Research, Mathematical Modeling, and Solid Mechanics. His professional journey includes teaching positions at Dronacharya College of Engineering, Gurugram, Priyadarshini Institute of Engineering & Technology, Nagpur, and Nagarjuna Institute of Engineering, Technology, and Management, Nagpur. He has guided Ph.D. scholars, authored 9 books and 60+ research papers, and actively participates in academic leadership roles such as IQAC Cell, Research & Development Cell, and Teacher Guardian Scheme. His work has earned him multiple accolades, including the Research Excellence Award-2021 and Best Paper Awards (2021, 2023), solidifying his reputation as a leading researcher in applied mathematics.

Research Interest

Dr. Navneet Kumar Lamba’s research interests span a broad spectrum of fundamental and applied mathematics, focusing primarily on Operations Research, Mathematical Modeling, Optimization Problems, and Solid Mechanics. His work in linear programming and algorithmic methodologies has contributed to developing efficient problem-solving techniques. He has also made significant strides in boundary value problems, applied modeling of infectious diseases, and thermal stress analysis in solid mechanics, particularly in studying memory-dependent thermoelastic responses. His recent research delves into the fractional-order heat conduction models, hygrothermal effects in materials, and thermosensitive structures. Additionally, Dr. Lamba has explored the mathematical modeling of COVID-19 transmission dynamics, providing valuable insights into epidemiological trends. With over 60 research publications in Scopus, Web of Science, and UGC Care-listed journals, his work continues to impact both theoretical and applied aspects of mathematics. His research aims to bridge gaps between mathematical theory and real-world applications, fostering innovation and problem-solving in diverse domains.

Award and Honor

Dr. Navneet Kumar Lamba has been recognized for his outstanding contributions to research and academia with several prestigious awards and honors. He received the Research Excellence Award-2021 from the National Health Service England (UK) and Chintamani Mahavidyalaya, acknowledging his significant research in mathematics and its applications. His exceptional scholarly work has also earned him Best Paper Awards in 2021 and 2023 at the International Conference on Advancement in Science, Technology, and Management. With a distinguished academic career spanning over 13 years, Dr. Lamba has authored 60 research papers in reputed peer-reviewed journals, 9 books, and 3 book chapters, further cementing his position as a leading researcher in mathematics. Additionally, he has guided Ph.D. scholars, actively participated in national and international awards, and contributed to institutional development through key academic committees. His dedication to mathematical research, teaching, and mentorship has earned him widespread recognition in the academic community.

Conclusion

Dr. Navneet Kumar Lamba is a distinguished academician and researcher with over 13 years of experience in mathematics, specializing in operations research, mathematical modeling, and optimization problems. His impressive portfolio includes 60 peer-reviewed research papers, 9 authored books, and multiple accolades such as the Research Excellence Award-2021 and Best Paper Awards in 2021 and 2023. As an Assistant Professor and Head of Department, he has contributed significantly to academia through research supervision, professional memberships, and leadership roles in various academic committees. His work on infectious disease modeling, particularly COVID-19, highlights his commitment to applied research. While his contributions are exemplary, further enhancements in citation impact, global collaborations, and research grants would strengthen his research influence. Overall, Dr. Lamba’s dedication to research, teaching, and academic leadership makes him a strong contender for the Best Researcher Award, recognizing his invaluable contributions to mathematics and scientific advancements.

Publications Top Noted

  • A Sustainable Inventory Model with Advertisement Effort for Imperfect Quality Items under Learning in Fuzzy Monsoon Demand
    • Authors: Alamri, O.A.; Lamba, N.K.; Jayaswal, M.K.; Mittal, M.
    • Year: 2024
  • Memory Dependent Response in an Infinitely Long Thermoelastic Solid Circular Cylinder
    • Authors: Lamba, N.K.; Deshmukh, K.C.
    • Year: 2024
  • Quasi-static Thermal Response of a Circular Plate due to the Influence of Memory-dependent Derivatives
    • Authors: Lamba, N.K.
    • Year: 2024
  • Thermal Characteristics of a Multilayered Annular Disk with Thermosensitive Features using a Fractional-order Heat Conduction Model
    • Authors: Lamba, N.K.; Manthena, V.R.; Bhad, P.P.; Srinivas, V.B.; Abouelregal, A.E.
    • Year: 2024
  • Thermal Stresses Associated with a Thermosensitive Multilayered Disc Analysed Due to Point Heating
    • Authors: Srinivas, V.B.; Manthena, V.R.; Warbhe, S.D.; Kedar, G.D.; Lamba, N.K.
    • Year: 2024
  • Memory-based Thermoelastic Modelling of an Annular Disc under Heating and Cooling Processes
    • Authors: Lamba, N.K.; Varhadpande, I.; Murty, V.R.K.
    • Year: 2024
  • Impact of Memory-dependent Response of a Thermoelastic Thick Solid Cylinder
    • Authors: Lamba, N.K.
    • Year: 2023
  • Hygrothermoelastic Response of a Finite Hollow Circular Cylinder
    • Authors: Lamba, N.K.; Deshmukh, K.C.
    • Year: 2022
  • Memory Impact of Hygrothermal Effect in a Hollow Cylinder by Theory of Uncoupled-Coupled Heat and Moisture
    • Authors: Verma, J.; Lamba, N.K.; Deshmukh, K.C.
    • Year: 2022
  • Thermosensitive Response of a Functionally Graded Cylinder with Fractional Order Derivative
    • Authors: Lamba, N.K.
    • Year: 2022
  • A Comparative Study of COVID-19 Pandemic in Rajasthan, India
    • Authors: Jayaswal, M.K.; Lamba, N.K.; Yadav, R.; Mittal, M.
    • Year: 2021
  • Impact of COVID-19: A Mathematical Model
    • Authors: Warbhe, S.D.; Lamba, N.K.; Deshmukh, K.C.
    • Year: 2021
  • Mathematical Modelling of COVID-19 in Pregnant Women and Newly Borns
    • Authors: Lamba, N.K.; Warbhe, S.D.; Deshmukh, K.C.
    • Year: 2021
  • Hygrothermoelastic Response of a Finite Solid Circular Cylinder
    • Authors: Lamba, N.K.; Deshmukh, K.C.
    • Year: 2020
  • Thermal Behavior of a Finite Hollow Cylinder in Context of Fractional Thermoelasticity with Convection Boundary Conditions
    • Authors: Kumar, N.; Kamdi, D.B.
    • Year: 2020

DEEPA R | Computational Mathematics | Women Researcher Award

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Dr. DEEPA R | Computational Mathematics | Women Researcher Award

Professor at Nehru Institute of Engineering and Technology, India

Dr. R. Deepa is a distinguished academic leader and researcher in Electronics and Communication Engineering with extensive expertise in next-generation communication systems, signal processing, and AI-driven healthcare. Serving as the Head of Academic Affairs and Director of IQAC, she has been instrumental in driving strategic accreditation, curriculum innovation, and research excellence. She has secured multiple research grants, holds patents in advanced sensor and medical technologies, and has an impressive portfolio of Q1 and Q2 journal publications. Her contributions extend to industry collaborations, editorial board memberships, and faculty upskilling programs. Recognized with prestigious awards, including the United Nations Award for Human Excellence in Education, Dr. Deepa actively mentors doctoral scholars and champions student entrepreneurship initiatives. With a forward-thinking approach, she continues to shape academic policies, foster interdisciplinary research, and bridge the gap between academia and industry, making a significant impact on education and technological advancements.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile 

Education

Dr. R. Deepa holds a Ph.D. in Information & Communication Engineering from Anna University, Chennai, awarded in March 2013. Her dissertation focused on “Certain Investigations on Power Allocation Schemes for Transmission of JPEG Compressed Images Using MIMO-OFDM Systems,” under the guidance of Dr. K. Baskaran. She earned her Master of Engineering (M.E.) in Communication Systems from PSG College of Technology, Coimbatore, in June 2002, where she worked on the implementation of a USB device controller for her thesis. She completed her Bachelor of Engineering (B.E.) in Electronics & Communication Engineering from Sri Ramakrishna Engineering College, Coimbatore, in March 2000, with a thesis on the speed control of a DC motor using fuzzy logic. Dr. Deepa’s strong academic foundation in communication systems, signal processing, and emerging technologies has paved the way for her extensive contributions to research, innovation, and academic leadership in higher education institutions.

Professional Experience

Dr. R. Deepa is a distinguished academician and researcher with extensive experience in electronics and communication engineering. Currently serving as the Head of Academics, Director of IQAC, and Professor at the Nehru Institute of Engineering and Technology, she has played a pivotal role in academic leadership, quality assurance, and curriculum innovation. With a career spanning over two decades, she has held key positions, including Professor & Head at Nehru Institute of Technology and Assistant Professor at Amrita Vishwa Vidyapeetham. Her expertise lies in strategic academic planning, research promotion, and skill development in AI, IoT, and Industry 4.0 technologies. She has been instrumental in fostering student engagement, industry collaboration, and entrepreneurship through initiatives like NGI-TBI and NewGen IEDC. Additionally, she has served as a mentor, consultant, and editorial board member, contributing significantly to institutional growth, research advancements, and the holistic development of students and faculty.

Research Interest

Dr. R. Deepa’s research interests span next-generation communication systems, signal processing algorithms, and AI-driven healthcare. Her work focuses on advancing MIMO-OFDM systems, adaptive power allocation, and channel equalization techniques to enhance wireless communication efficiency. She explores artificial intelligence applications in medical diagnostics, particularly in early detection of diseases such as skin cancer, cardiovascular conditions, and diabetic retinopathy. Her research also includes AI-driven predictive analytics for market trends, UAV-based beamforming optimization, and blockchain-based cybersecurity frameworks for IoT networks. With numerous publications in reputed journals, she has contributed significantly to the intersection of communication engineering and intelligent systems. Additionally, her patents and funded projects reflect her commitment to developing real-world solutions, including assistive devices for the visually impaired and AI-powered medical instruments. Through her multidisciplinary approach, Dr. Deepa aims to bridge technological advancements with societal impact, fostering innovation in healthcare, cybersecurity, and wireless communication.

Award and Honor

Dr. R. Deepa has been recognized for her outstanding contributions to academia, research, and innovation through numerous prestigious awards and honors. She received a United Nations Award for Human Excellence in Education and Humanitarian Works (2018) and the NGI Women Excellence Award (2024) for her exceptional leadership in education. Her dedication to research and innovation was acknowledged with multiple research grants, including ₹10 lakhs from the Ministry of Consumer Affairs, India (2024) and ₹2.5 lakhs from NewGEN IEDC, DST, New Delhi (2022) for her startup idea “INTELLILENS.” She was also honored as an Advanced Institute Ambassador under the Institute Innovation Council (2025) and serves as a mentor for the Coimbatore BIS Standards Club, Ministry of Consumer Affairs, India (2024). Additionally, she holds editorial positions in esteemed journals, including being an Editorial Board Member of Math Scientist Awards (2025) and an Editor for Inderscience Journal Special Issues (2016).

Conclusion

Dr. R. Deepa is a distinguished academician, researcher, and leader in electronics and communication engineering, with a strong commitment to academic excellence, research innovation, and institutional quality enhancement. Her extensive experience in academic governance, curriculum development, and research promotion has significantly contributed to the advancement of higher education. She has secured multiple research grants, published extensively in reputed journals, and actively contributed as an editor and reviewer for leading scientific publications. Her expertise in next-generation communication systems, AI-driven healthcare, and signal processing has led to impactful innovations, including patents and consultancy roles in industry collaborations. Dr. Deepa’s dedication to student development, skill enhancement, and fostering research culture is evident in her leadership of various institutional initiatives. With numerous accolades, including the United Nations Award for Human Excellence in Education, she continues to shape the future of academia with her visionary approach and unwavering commitment to excellence.

Publications Top Noted

  • Division Multiplexing System Using Arithmetic Optimization Algorithm
    • Authors: R Deepa, R Karthick, J Velusamy, R Senthilkumar
    • Year: 2025
    • Citations: 31
  • Study of Spatial Diversity Schemes in Multiple Antenna Systems
    • Authors: R Deepa, K Baskaran, P Unnikrishnan, A Kumar
    • Year: 2009
    • Citations: 20
  • Healthcare’s New Frontier: AI-driven Early Cancer Detection for Improved Well-being
    • Authors: R Deepa, S Arunkumar, V Jayaraj, A Sivasamy
    • Year: 2023
    • Citations: 8
  • Patient Counselling at Aravind Eye Hospital
    • Authors: R Deepa, P Pradhan
    • Year: 2002
    • Citations: 8
  • Advancements in Early Detection of Diabetes and Diabetic Retinopathy Screening Using Artificial Intelligence
    • Authors: DAS Dr. R. Deepa
    • Year: 2023
    • Citations: 7
  • Performance Analysis of Decoding Algorithms in Multiple Antenna Systems
    • Authors: I Ammu, R Deepa
    • Year: 2011
    • Citations: 6
  • Performance of Possible Combinations of Detection Schemes with V-BLAST for MIMO OFDM Systems
    • Authors: R Deepa, S Iswarya, G DivyaShri, P MahathiKeshav, P JaganyaVasan
    • Year: IEEE
    • Citations: 6
  • MIMO Based Efficient JPEG Image Transmission and Reception by Multistage Receivers
    • Authors: R Deepa, K Baskaran
    • Year: 2010
    • Citations: 5
  • Early Detection of Skin Cancer Using AI: Deciphering Dermatology Images for Melanoma Detection
    • Authors: Dr. Deepa Rangasamy
    • Year: 2024
    • Citations: 3

 

Aleksandar Senić | Mathematical Engineering | Best Researcher Award | 2039

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Mr. Aleksandar Senić | Mathematical Engineering | Best Researcher Award

Assistant Lecturer at Faculty of Civil Engineering, Belgrade, Serbia

Aleksandar Senić is a researcher and expert in risk management for infrastructure projects, specializing in the application of fuzzy logic and machine learning to predict delays and cost overruns. As an Assistant Lecturer at the Faculty of Civil Engineering, University of Belgrade, he actively contributes to research on risk assessment and decision-making optimization. He has authored eight journal papers in indexed databases and a book on infrastructure project management. With over 30 industry projects, he plays a key role in translating research into practical solutions. As Director of the Construction Management Sector at Koridori Srbije, he oversees infrastructure projects worth €5 billion, ensuring efficient execution and risk mitigation. His work on hybrid risk assessment models and clustering risk factors has improved project planning and preventive strategies. Through collaborations with leading researchers, his contributions have gained international recognition, influencing best practices in construction risk management and decision-making in large-scale projects.

Professional Profile

Scopus Profile
ORCID Profile 

Education

Aleksandar Senić holds a strong academic background in civil engineering and risk management. He earned his Bachelor’s and Master’s degrees from the Faculty of Civil Engineering, University of Belgrade, specializing in construction management and infrastructure project risk assessment. His postgraduate research focused on applying fuzzy logic and machine learning techniques to predict delays and cost overruns in large-scale infrastructure projects. He pursued a Ph.D. in Civil Engineering, further advancing his expertise in hybrid risk assessment models integrating artificial intelligence and expert systems for optimizing decision-making in construction. Throughout his academic journey, he actively collaborated with leading researchers, contributing to cutting-edge methodologies in risk quantification and mitigation. His educational foundation, combined with extensive industry exposure, enables him to bridge the gap between theoretical research and practical application, making significant advancements in infrastructure project management. His academic credentials and research output have positioned him as a key contributor to the field of risk management in civil engineering.

Professional Experience

Aleksandar Senić is an Assistant Lecturer at the Faculty of Civil Engineering, University of Belgrade, and a leading expert in risk management for infrastructure projects. With extensive experience in applying fuzzy logic and machine learning, he specializes in predicting delays and cost overruns in large-scale road construction. As the Director of the Construction Management Sector at Koridori Srbije, he oversees the execution of €5 billion infrastructure projects, ensuring efficient delivery and risk mitigation. His expertise extends to industry consultancy, having contributed to over 30 projects focused on risk assessment and preventive strategies. He has authored a book on infrastructure project management and published 8 journal papers in indexed databases. His research, widely cited internationally, integrates hybrid risk assessment models to optimize decision-making. A member of the Serbian Chamber of Engineers, he actively collaborates with leading researchers, advancing best practices in construction risk management and preventive methodologies.

Research Interest

Aleksandar Senić’s research interests focus on advancing risk management methodologies in infrastructure projects through the integration of machine learning, fuzzy logic, and expert-driven models. His work aims to enhance predictive analytics for cost overruns and time extensions in road construction, enabling more efficient project planning and execution. He specializes in hybrid risk assessment models, combining statistical techniques with artificial intelligence to improve decision-making in large-scale infrastructure development. Additionally, his research explores preventive measures in project management, optimizing risk quantification frameworks to minimize uncertainties and enhance project resilience. His contributions also extend to construction project complexity analysis, where he clusters risk factors to prioritize interventions, reducing budget deviations and schedule delays. Through collaborations with leading researchers and industry professionals, he strives to develop innovative strategies for risk mitigation, ensuring sustainable and cost-effective infrastructure development while bridging the gap between academic research and practical engineering applications.

Award and Honor

Aleksandar Senić is a distinguished researcher and industry expert in risk management for infrastructure projects, recognized for his significant contributions to the field of construction engineering. As an Assistant Lecturer at the Faculty of Civil Engineering, University of Belgrade, and Director of the Construction Management Sector at Koridori Srbije, he has played a pivotal role in advancing methodologies for risk assessment, predictive modeling, and decision-making optimization. His research integrates machine learning, fuzzy logic, and expert surveys to enhance risk evaluation, leading to improved efficiency in large-scale infrastructure projects. With numerous publications in high-impact journals, his work has gained international recognition, influencing best practices in risk mitigation. His leadership in managing projects worth €5 billion underscores his practical expertise. Through active collaboration with leading researchers and contributions to industry projects, he continues to shape the future of infrastructure risk management, making him a deserving candidate for prestigious academic and professional honors.

Conclusion

Aleksandar Senić is a distinguished researcher in risk management for infrastructure projects, combining academic expertise with extensive industry experience. His contributions to integrating machine learning and fuzzy logic into risk assessment models have significantly advanced methodologies for predicting delays and cost overruns in large-scale construction projects. As a lecturer at the University of Belgrade and Director at Koridori Srbije, he bridges the gap between research and real-world applications, overseeing infrastructure projects worth €5 billion. With eight journal publications, a book, and collaborations with esteemed researchers, his work has gained international recognition. While his citation index and h-index indicate a growing impact, further engagement in high-impact research, patents, and editorial roles could enhance his profile. His expertise, leadership, and commitment to innovation in construction risk management make him a strong candidate for the Best Researcher Award, reflecting both his scholarly excellence and his contributions to improving infrastructure project outcomes.

Publications Top Noted

  • Prioritization of Preventive Measures: A Multi-Criteria Approach to Risk Mitigation in Road Infrastructure Projects
    • Authors: Aleksandar Senić, Marija Ivanović, Momčilo Dobrodolac, Zoran Stojadinović
    • Year: 2025
  • A Comprehensive Analysis of Road Crashes at Characteristic Infrastructural Locations: Integrating Data, Expert Assessments, and Artificial Intelligence
    • Authors: T. Ivanišević, M. Vujanić, A. Senić, A. Trifunović, S. Čičević
    • Year: 2024
  • Predicting Extension of Time and Increasing Contract Price in Road Infrastructure Projects Using a Sugeno Fuzzy Logic Model
    • Authors: Aleksandar Senić, Momčilo Dobrodolac, Zoran Stojadinović
    • Year: 2024
  • Development of Risk Quantification Models in Road Infrastructure Projects
    • Authors: Aleksandar Senić, Momčilo Dobrodolac, Zoran Stojadinović
    • Year: 2024
  • Evaluating the Road Environment Through the Lens of Professional Drivers: A Traffic Safety Perspective
    • Authors: Aleksandar Senić
    • Year: 2024
  • Early Highway Construction Cost Estimation: Selection of Key Cost Drivers
    • Authors: N. Simić, N. Ivanišević, Ð. Nedeljković, A. Senić, Z. Stojadinović, M. Ivanović
    • Year: 2023
  • Assessment of Concrete Compressive Strength Using Different Maturity Functions: Case Study
    • Authors: Dragan Bojović, Nevena Bašić, Ksenija Janković, Aleksandar Senić
    • Year: 2018
  • Determination of the In Situ Coefficient of Friction and Imperfection of Prestressing Cables
    • Authors: Dragan Bojović, Bojan Aranđelović, Ksenija Janković, Aleksandar Senić, Marko Stojanović
    • Year: 2017
  • Značaj Arhitektonskog Koncepta za Rentabilnost Projekata
    • Authors: Aleksandar Senić
    • Year: 2014

Peng Yue | Pure Mathematics | Best Researcher Award

Published on by Math Scientist

Prof. Dr. Peng Yue | Pure Mathematics | Best Researcher Award

Dr. at Ocean University of China, China

Prof. Dr. Peng Yue is a distinguished academic currently serving as a professor at the School of Physics and Optoelectronic Engineering, Ocean University of China. With a solid educational foundation, he earned his bachelor’s, master’s, and Ph.D. degrees in mechanics from the National Aerospace University “Kharkov Aviation Institute.” Prof. Yue’s research focuses on developing mathematical and mechanical theories and models related to nonlinear and complex systems, bridging mathematics, physics, and engineering. His notable contributions include several publications in prestigious journals, including works on fluid dynamics, aerodynamics, and mathematical models for flow field separation. Additionally, Prof. Yue has been an active participant in international awards, often presenting as a keynote speaker. He is a member of several academic societies, including the Chinese Mathematical Society and the Chinese Society of Industrial and Applied Mathematics. His interdisciplinary work and leadership in the field make him a prominent figure in applied mathematics and engineering.

Professional Profile 

Scopus Profile
ORCID Profile 

Education

Prof. Dr. Peng Yue’s educational journey reflects his dedication to advancing the fields of mathematics, mechanics, and physics. He began his academic path at the National Aerospace University “Kharkov Aviation Institute” where he earned his bachelor’s degree in theoretical and applied mechanics in 2011. His passion for mechanics led him to pursue a master’s degree in the same field, which he completed in 2013. Demonstrating exceptional academic ability and a deep interest in complex systems, Prof. Yue continued his studies at the same institution and earned his Ph.D. in mechanics in 2017. This rigorous academic foundation laid the groundwork for his subsequent research career. His advanced education provided him with a comprehensive understanding of mathematical and mechanical theories, equipping him with the skills necessary to develop models and algorithms for nonlinear and complex systems.

Professional Experience

Prof. Dr. Peng Yue has an extensive professional background that spans academia and research in the fields of mathematics, mechanics, and engineering. He currently serves as a professor at the School of Physics and Optoelectronic Engineering, College of Information Science and Engineering, Ocean University of China. Prior to 2023, he held significant academic and research positions at the University of Electronic Science and Technology of China and the China Aerodynamics Research and Development Center, where he contributed extensively to the study of nonlinear and complex systems. Prof. Yue’s expertise also includes developing practical models and algorithms for mathematical and mechanical theories. He earned his bachelor’s, master’s, and Ph.D. degrees from the National Aerospace University “Kharkov Aviation Institute.” Throughout his career, Prof. Yue has been actively involved in numerous projects and awards, including as a keynote speaker at prestigious international events like the 13th International Conference on Computational Mechanics.

Research Interest

Prof. Dr. Peng Yue’s research interests primarily focus on the development of mathematical and mechanical theories applied to nonlinear and complex systems. He explores practical models and algorithms that bridge the gap between theoretical mechanics and real-world engineering problems. His work is at the intersection of mathematics, physics, and engineering, with particular emphasis on the modeling and analysis of fluid dynamics, flow separation, and multi-field coupling mechanisms. Prof. Yue is also dedicated to advancing numerical methods such as the boundary element method for determining aerodynamic characteristics and improving techniques in Cartesian tensor analysis. His research aims to enhance understanding of the behavior of complex physical systems, with applications in aerodynamics, mechanics, and technology. By developing new mathematical models, he strives to solve practical challenges faced by modern engineering, contributing to the broader understanding of nonlinear phenomena and pushing the boundaries of applied mathematics and mechanical systems.

Award and Honor

Prof. Dr. Peng Yue has earned significant recognition throughout his academic career, marking him as a distinguished figure in the fields of applied mathematics, mechanics, and engineering. As a member of the Chinese Mathematical Society, the Chinese Society for Industrial and Applied Mathematics, and the Chinese Society of Mechanics, his contributions to mathematical modeling and nonlinear systems have been widely acknowledged. He has held important academic positions, including as a professor at the Institute of Space Technology at the China Aerodynamics Research and Development Center, and more recently at Ocean University of China. His research has led to numerous high-impact journal publications, with key articles on complex fluid dynamics, aerodynamics, and tensor analysis. Prof. Yue has also made significant contributions to international awards, delivering keynote addresses, such as at the 13th International Conference on Computational Mechanics. His honors reflect both his scholarly achievements and his leadership in advancing scientific and engineering knowledge.

Conclusion

Prof. Dr. Peng Yue has proven to be an exceptional researcher, blending advanced mathematical, mechanical, and physical theories with practical models and algorithms. His academic journey, from earning a Ph.D. at the National Aerospace University “Kharkov Aviation Institute” to holding prominent positions at renowned institutions like the University of Electronic Science and Technology of China and the Ocean University of China, showcases his deep expertise. Prof. Yue’s extensive publication record, including high-quality journal articles on nonlinear systems and fluid dynamics, as well as his role as a keynote speaker at international awards, reflects his influential contributions to his fields. His involvement in major scientific societies such as the Chinese Mathematical Society further emphasizes his academic prominence. While continuing to expand the reach of his research, Prof. Yue’s exceptional scholarship, leadership, and interdisciplinary work solidify his standing as a distinguished figure in applied mathematics and mechanics.

Publications Top Noted

  • Title: Surface Pressure Calculation Method of Multi-Field Coupling Mechanism under the Action of Flow Field
    Authors: Zhang, J., Wei, S., Yue, P., Kulik, A.S., Li, G.
    Year: 2023
    Citations: 1
  • Title: Mathematical Model for Excited State Fluid Dynamics
    Authors: Yue, P., Zhang, J., Wei, S.
    Year: 2023
    Citations: 0
  • Title: Mathematical Principle Analysis of Transition Point Prediction
    Authors: Yue, P., Zhang, J., Peng, D., Wei, S.
    Year: 2022
    Citations: 0
  • Title: Mathematical Principle Analysis of Separation Point Prediction
    Authors: Yue, P., Zhang, J., Peng, D., Wei, S.
    Year: 2021
    Citations: 0
  • Title: Mathematical Model and Analysis Method for Flowfield Separation and Transition
    Authors: Yue, P., Xiao, J., Xu, K., Lu, Y., Peng, D.
    Year: 2021
    Citations: 5
  • Title: Numerical Implementation of Boundary Element Method for Determining Aerodynamic Characteristics around Airfoil System by Viscous Media
    Authors: Xu, K., Yue, P., Liu, Q., Lu, Y., Zhang, J.
    Year: 2020
    Citations: 3
  • Title: Extension of Calculus Operations in Cartesian Tensor Analysis
    Authors: Lu, Y., Yue, P., Wei, S.
    Year: 2020
    Citations: 1

 

Livija Cveticanin | Applied Mathematics | Best Researcher Award

Published 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 

Google Scholar

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