Fan Yang | Computational Mathematics | Best Researcher Award

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Prof. Fan Yang | Computational Mathematics | Best Researcher Award

Professor at Lanzhou University of Technology, China

Professor Fan Yang 🎓, born in April 1976, is a distinguished mathematician at the School of Science, Lanzhou University of Technology, China. With a solid academic foundation—earning his B.Sc., M.Sc., and Ph.D. from Lanzhou University—he has emerged as a notable expert in inverse problems 🔍 and fractional diffusion equations 🌐. His research contributions span over 14 impactful publications in internationally recognized journals, showcasing innovative regularization techniques like Tikhonov, mollification, and quasi-boundary methods 🧮. His work significantly enhances computational stability in solving complex physical models, particularly heat and Poisson equations 🔥➕. Professor Yang collaborates closely with scholars like Chu-Li Fu and Xiao-Xiao Li, reflecting his team-driven approach and scientific synergy 🤝. While his global visibility could be further amplified, his technical depth, precision, and dedication place him among the front-runners in applied mathematics. A trailblazer in mathematical physics, Prof. Yang continues to illuminate intricate problems with clarity and rigor ✨.

Professional Profile 

Scopus Profile
ORCID Profile

📘 Education

Professor Fan Yang 🎓 embarked on his academic path at Lanzhou University, a premier institution in China 🇨🇳. He obtained his Bachelor’s degree in Mathematics in 2000, deepening his analytical foundations. Committed to advancing knowledge, he earned his Master’s degree in 2007 and later achieved his Doctoral degree in 2014, specializing in mathematical physics equations. This progressive academic journey illustrates a firm dedication to mathematical excellence 📐. His scholarly roots at Lanzhou University equipped him with the skills to explore abstract theories and practical modeling 🧠. The consistent pursuit of higher education across nearly 15 years showcases his unwavering commitment to mastering complexity and innovation. His academic development has been vital in shaping him into a respected voice within the mathematical research community 🔍.

💼 Professional Experience

Professor Fan Yang currently holds a prestigious role at the School of Science, Lanzhou University of Technology 🏫, where he serves as a full professor. With a career rooted in academia, he has accumulated decades of teaching, mentorship, and research leadership 📊. Over the years, he has played a central role in guiding both undergraduate and postgraduate students, helping nurture the next generation of mathematical minds 👨‍🏫. His collaborative efforts with other scholars and his role in departmental research initiatives reflect his deep integration into academic life 🧩. Prof. Yang’s dedication to fostering scientific thought and problem-solving capacity makes him a pillar of his department. His evolving role from student to faculty leader exemplifies his rise through perseverance, expertise, and scholarly drive 🚀.

🔬 Research Interest

Prof. Fan Yang’s research orbits around inverse problems and fractional diffusion equations, niche yet powerful areas within applied mathematics 🧠. His work primarily addresses ill-posed problems in mathematical physics, especially those modeling heat and source detection phenomena 🔥🧊. His innovative application of regularization techniques—such as Tikhonov, truncation, and mollification—enhances stability and solution accuracy in computational models. He focuses on determining unknown parameters from partial data, contributing solutions to real-world problems in geophysics, medical imaging, and thermal analysis 🌍💡. This niche research supports the broader scientific community in understanding and interpreting complex systems. With publications in high-impact journals and a track record of meaningful inquiry, Prof. Yang continues to redefine mathematical boundaries, blending theory and application in impactful, forward-thinking ways 📈🔎.

🏅 Awards and Honors

Though specific awards and honors are not listed in detail, Professor Fan Yang’s academic recognition is evident through consistent publications in reputable international journals 📰. Journals such as Applied Mathematical Modelling, Journal of Inverse and Ill-Posed Problems, and Computational and Applied Mathematics have showcased his findings, underscoring the scholarly value of his work 🏆. His research has earned collaboration with distinguished mathematicians, a subtle indicator of peer recognition and respect 🤝. Serving as a professor at a top Chinese university further indicates institutional acknowledgment of his contributions 🎖️. While formal accolades may not be detailed here, Prof. Yang’s enduring presence in high-level research forums and his intellectual influence make him a quiet achiever whose work speaks volumes through citations and scholarly impact 🌟.

📌 Conclusion

Professor Fan Yang is a dedicated scholar whose academic path, professional evolution, and focused research agenda reflect a life devoted to scientific advancement 🔭. From tackling complex inverse problems to refining numerical solutions for fractional equations, his work resonates across mathematical physics and engineering realms 🌐. With a foundation built at Lanzhou University and a professorship at Lanzhou University of Technology, his influence continues to grow 📘💡. While he may remain understated in accolades, his scholarly contributions are undeniable—spanning critical journals and collaborative research 🧩. Prof. Yang exemplifies how dedication, precision, and thoughtful inquiry can shape the modern mathematical landscape. As a thinker, mentor, and innovator, he is undoubtedly a valuable figure in advancing computational mathematics and applied sciences 💫🧮.

Publications Top Notes

🔹 Title: Simultaneous Inversion of the Source Term and Initial Value of the Multi-Term Time Fractional Slow Diffusion Equation
Authors: L. Qiao, R. Li, Fan Yang, X. Li
Year: 2025 🗓️
Journal: Journal of Applied Analysis and Computation 🏫📚

🔹 Title: Fractional Landweber Regularization Method for Identifying the Source Term of the Time Fractional Diffusion-Wave Equation
Authors: Z. Liang, Q. Jiang, Q. Liu, L. Xu, Fan Yang
Year: 2025 🗓️
Journal: Symmetry 📐📚

🔹 Title: PINN Neural Network Method for Solving the Forward and Inverse Problem of Time-Fractional Telegraph Equation
Authors: Fan Yang, H. Liu, X. Li, J. Cao
Year: 2025 🗓️
Citations: 2 📚
Journal: Results in Engineering ⚙️

🔹 Title: Two Regularization Methods for Identifying the Initial Value of Time-Fractional Telegraph Equation
Authors: Y. Liang, Fan Yang, X. Li
Year: 2025 🗓️
Citations: 2 📚
Journal: Computational Methods in Applied Mathematics 📊

🔹 Title: Two Regularization Methods for Identifying the Unknown Source of Sobolev Equation with Fractional Laplacian
Authors: Fan Yang, L.L. Yan, H. Liu, X. Li
Year: 2025 🗓️
Citations: 4 📚
Journal: Journal of Applied Analysis and Computation 🏫

🔹 Title: Two Regularization Methods for Identifying the Source Term of Caputo-Hadamard Type Time Fractional Diffusion-Wave Equation
Authors: Fan Yang, R. Li, Y. Gao, X. Li
Year: 2025 🗓️
Journal: Journal of Inverse and Ill-Posed Problems 🔄📚

🔹 Title: Effect of Surface Effect on Linear Bending Behavior of Nano-Switch Structure
Authors: Fan Yang, X. Wang, C. Li
Year: 2024 🗓️
Journal: Yingyong Lixue Xuebao (Chinese Journal of Applied Mechanics) 🔧📚

🔹 Title: Simultaneous Identification of the Unknown Source Term and Initial Value for the Time Fractional Diffusion Equation with Local and Nonlocal Operators
Authors: L. Qiao, Fan Yang, X. Li
Year: 2024 🗓️
Citations: 3 📚
Journal: Chaos, Solitons and Fractals 🌀

🔹 Title: Analysis of Nonlinear Bending Behavior of Nano-Switches Considering Surface Effects
Authors: Fan Yang, X. Wang, X. Song, W. Yang
Year: 2024 🗓️
Journal: Discover Nano 🔬📚

Sayed Saber | Computational Mathematics | Best Researcher Award

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Prof. Sayed Saber | Computational Mathematics | Best Researcher Award

Professor at Faculty of Science, Al-Baha University, Saudi Arabia.

Prof. Sayed Saber Ali Ahmed is a distinguished mathematician and professor with over 20 years of experience in teaching and research. Specializing in Complex Analysis and Mathematical Modeling, his work bridges several fields including applied mathematics, biomathematics, and medicine. With a Ph.D. from Beni-Suef University, he has contributed to solving pseudoconvex domain problems and developed models for diseases like COVID-19 and glucose-insulin interactions. His research is published in high-impact journals and indexed in Scopus and Web of Science. 🧠📚 Prof. Saber is an invited speaker at international conferences and serves as an editor for multiple journals, further demonstrating his leadership in the academic community. While his work is already highly regarded, expanding his collaborations globally and enhancing the visibility of his research could elevate his impact even further. 🌍✨ His passion for teaching and innovation makes him an exceptional candidate for any academic recognition. 👏🎓

Professional Profile

Google Scholar
Scopus Profile
ORCID Profile

Education 🎓

Prof. Sayed Saber Ali Ahmed earned his Ph.D. in Complex Analysis from Beni-Suef University, Egypt, in 2007. His dissertation focused on existence theorems for the 𝜕-equation with estimates on complex manifolds. He also holds an M.Sc. in Complex Analysis from Cairo University (2001) and a B.Sc. in Mathematics from Cairo University (1994), graduating with honors. His solid academic foundation has paved the way for a career marked by deep exploration in mathematical theory and modeling. 📘🔬

Professional Experience 👨‍🏫

Prof. Saber has over 20 years of experience in academia, teaching at institutions like Cairo University, Beni-Suef University, and Al-Baha University. He currently holds the position of Professor at Beni-Suef University, Egypt, and Umm Al-Qura University, Saudi Arabia. He has mentored many undergraduate and graduate students, guiding them in mathematical research, especially in complex analysis and biomathematics. His teaching spans across mathematics, physics, and statistics, making him an educator with diverse expertise. 👩‍🏫📊

Research Interest 🔍

Prof. Saber’s research lies at the intersection of Complex Analysis and Applied Mathematics, with an emphasis on mathematical modeling. His work includes pseudoconvex domains, function theory, and partial differential equations. He’s also made significant contributions to biomathematics, including COVID-19 modeling and glucose-insulin interaction models. Prof. Saber’s studies bridge theoretical mathematics with practical applications in biology, medicine, and economics, providing valuable insights for global health challenges. 🌐💡

Awards and Honors 🏆

Although specific awards are not listed, Prof. Saber’s extensive academic accomplishments and contributions to mathematical theory and applied research reflect his standing as a recognized scholar. His publications in high-impact journals, his invited talks at international conferences, and his active role as an editor for leading journals in mathematics exemplify his scholarly excellence. His work, especially in complex analysis and mathematical modeling, is highly regarded worldwide. 🌟📈

Conclusion 🌟

Prof. Sayed Saber Ali Ahmed is an accomplished scholar whose work blends theory and application to address complex mathematical challenges. His leadership in academia, coupled with his contributions to applied mathematics and biomathematical research, makes him a highly respected figure in his field. With a passion for teaching, mentoring, and international collaboration, Prof. Saber continues to inspire students and peers alike. His broad research interests, solid professional experience, and commitment to academic excellence make him a standout figure in the academic community. 🌍💪

Publications Top Notes

Title: Understanding zoonotic disease spread with a fractional order epidemic model
Authors: M. Althubyani, Mohammed; H.D.S. Adam, Haroun Doud Soliman; A. Alalyani, Ahmad; S. Saber, Sayed
Year: 2025
Source: Scientific Reports
Link: (Open Access)

Title: Analyzing fractional glucose-insulin dynamics using Laplace residual power series methods via the Caputo operator: stability and chaotic behavior
Authors: S. Saber, Sayed; S.M. M Mirgani, Safa M.
Year: 2025
Citations: 1
Source: Beni-Suef University Journal of Basic and Applied Sciences
Link: (Open Access)

Title: Glucose-insulin regulatory system: Chaos control and stability analysis via Atangana–Baleanu fractal-fractional derivatives
Authors: M. Alhazmi, Muflih; S. Saber, Sayed
Year: 2025
Citations: 3
Source: AEJ – Alexandria Engineering Journal
Link: (Open Access)

Title: The Generalized Euler Method for Analyzing Zoonotic Disease Dynamics in Baboon–Human Populations
Authors: S. Saber, Sayed; E.M. Solouma, Emad M.
Year: 2025
Source: Symmetry
Link: (Open Access)

Title: An application of Newton’s interpolation polynomials to the zoonotic disease transmission between humans and baboons system based on a time-fractal fractional derivative with a power-law kernel
Authors: H.D.S. Adam, Haroun Doud Soliman; M. Althubyani, Mohammed; S.M. M Mirgani, Safa M.; S. Saber, Sayed
Year: 2025
Source: AIP Advances
Link: (Open Access)

Title: A Caputo (discretization) fractional-order model of glucose-insulin interaction: numerical solution and comparisons with experimental data
Authors: MH Alshehri, FZ Duraihem, A Alalyani, S Saber
Year: 2021
Citations: 38
Source: Journal of Taibah University for Science
Link: Link

Title: Control of Chaos in the Burke-Shaw system of fractal-fractional order in the sense of Caputo-Fabrizio
Author: S. Saber
Year: 2024
Citations: 33
Source: Journal of Applied Mathematics and Computational Mechanics
Link: Link

Title: Different strategies for diabetes by mathematical modeling: Applications of fractal–fractional derivatives in the sense of Atangana–Baleanu
Authors: KIA Ahmed, HDS Adam, MY Youssif, S. Saber
Year: 2023
Citations: 33
Source: Results in Physics
Link: Link

Title: Application of a time-fractal fractional derivative with a power-law kernel to the Burke-Shaw system based on Newton’s interpolation polynomials
Authors: N. Almutairi, S. Saber
Year: 2024
Citations: 30
Source: MethodsX
Link: Link

Title: On chaos control of nonlinear fractional Newton-Leipnik system via fractional Caputo-Fabrizio derivatives
Authors: N. Almutairi, S. Saber
Year: 2023
Citations: 27
Source: Scientific Reports
Link: Link

Title: Different strategies for diabetes by mathematical modeling: modified minimal model
Authors: KIA Ahmed, HDS Adam, MY Youssif, S. Saber
Year: 2023
Citations: 27
Source: Alexandria Engineering Journal
Link: Link

Title: Dynamical analysis of fractional-order of IVGTT glucose–insulin interaction
Authors: MH Alshehri, S. Saber, FZ Duraihem
Year: 2023
Citations: 27
Source: International Journal of Nonlinear Sciences and Numerical Simulation
Link: Link

Title: The fractal-fractional Atangana-Baleanu operator for pneumonia disease: stability, statistical and numerical analyses
Authors: N. Almutairi, S. Saber, H. Ahmad
Year: 2023
Citations: 27
Source: AIMS Mathematics
Link: Link

Title: Chaos control and numerical solution of time-varying fractional Newton-Leipnik system using fractional Atangana-Baleanu derivatives
Authors: N. Almutairi, S. Saber
Year: 2023
Citations: 26
Source: AIMS Mathematics
Link: Link

 

 

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)