Junchang Li | Mathematical Modeling | Best Researcher Award

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Dr. Junchang Li | Mathematical Modeling | Best Researcher Award

Shanghai Polytechnic University | China

Dr. Junchang Li is a distinguished researcher in computer science and engineering with expertise in intelligent systems, data analytics, and advanced computing technologies. He holds a Ph.D. in Computer Science and has actively engaged in international collaborations that connect academia, industry, and research communities. His work is widely recognized through publications in reputed IEEE and Scopus-indexed journals and conferences, reflecting both depth and innovation. Alongside his scholarly achievements, Dr. Li has shown strong leadership through student mentorship, volunteer platforms, and active involvement in academic initiatives that promote knowledge sharing and professional growth. He is also a member of esteemed organizations such as IEEE and ACM, underscoring his global research engagement. With a blend of academic rigor and professional commitment, Dr. Li continues to contribute significantly to advancing research and society.

Professional Profiles

Scopus Profile | ORCID Profile 

Education

Dr. Junchang Li pursued his academic journey with a strong foundation in computer science and engineering, culminating in a Ph.D. in Computer Science from a reputed university. His doctoral research focused on advanced areas of intelligent systems, data processing, and computational models, providing him with deep expertise in both theoretical and applied dimensions of computer science. Prior to his Ph.D., he completed his undergraduate and master’s studies in related disciplines, building comprehensive knowledge in algorithms, programming, and emerging technologies. His education reflects a continuous pursuit of excellence and innovation, preparing him to tackle complex challenges in the digital era. By combining rigorous academic training with a passion for exploration, Dr. Li has established a strong scholarly background that supports his impactful research and professional accomplishments.

Experience

Dr. Junchang Li has built extensive professional experience as a researcher, academic, and collaborator in the field of computer science. He has been actively involved in leading and participating in international research projects, connecting global institutions and fostering innovation through cross-border collaborations. His academic journey has been complemented by teaching and mentoring roles, where he has guided students in research projects, publications, and professional growth. Dr. Li’s experience also includes active participation in conferences, workshops, and technical committees, where he has shared insights and contributed to shaping emerging research directions. Beyond academia, he has engaged with industry-oriented research, bridging theoretical knowledge with practical applications. His diverse experience highlights his ability to operate in multidisciplinary environments, lead collaborative efforts, and contribute meaningfully to the advancement of knowledge and technology.

Research Interest

Dr. Junchang Li’s research interests span multiple dynamic areas of computer science and engineering, with a focus on intelligent systems, data analytics, and advanced computational models. He is particularly interested in exploring how emerging technologies can be leveraged to solve complex real-world problems, with emphasis on efficiency, scalability, and innovation. His work addresses challenges in data-driven decision-making, algorithm optimization, and the integration of smart systems into modern digital infrastructures. He is also interested in interdisciplinary research that combines computer science with other domains, opening pathways to impactful applications across industries and society. Through these interests, Dr. Li aims to contribute to the evolution of next-generation technologies, enhance the role of computing in human-centered solutions, and promote knowledge that bridges theoretical concepts with practical implementation.

Awards and Honors

Dr. Junchang Li has received several awards and honors in recognition of his research excellence, academic achievements, and contributions to the global scientific community. His publications in IEEE and Scopus-indexed journals have been highly regarded, and his active involvement in international conferences has earned him appreciation from peers and experts in the field. He has also been recognized for his leadership in research collaborations, student mentorship, and contributions to academic development platforms. These honors reflect his dedication to advancing computer science through innovative and impactful work. In addition, his memberships in globally recognized organizations such as IEEE and ACM further highlight his professional standing and commitment to continuous growth. These recognitions collectively showcase his role as a highly accomplished researcher and respected academic professional.

Research Skill

Dr. Junchang Li possesses strong research skills that reflect both technical expertise and innovative problem-solving capabilities. He is proficient in designing, developing, and implementing advanced algorithms, as well as conducting data-driven analysis for intelligent systems. His skills extend to writing high-quality research papers, presenting at international conferences, and contributing to impactful publications. Dr. Li is experienced in managing collaborative projects, ensuring effective coordination between academic and industry partners to achieve significant research outcomes. He is adept in using modern research methodologies, analytical tools, and programming techniques to address complex computational challenges. In addition, his leadership skills allow him to mentor students and guide research groups effectively. This combination of technical proficiency, academic excellence, and collaborative ability makes him a well-rounded researcher with the capacity to deliver meaningful contributions.

Publication Top Notes

  • Title: Dynamic Pricing for Internet Service Platforms with Initial Demand Constraints: Unified or Differentiated Pricing?
    Authors: Junchang Li; Jiaqing Sun; Jiantong Zhang
    Year: 2025
    Citation: Journal of Theoretical and Applied Electronic Commerce Research, Journal Article, 2025-09-01

  • Title: Bilateral Pricing for Internet Healthcare Platform: Separating or Pooling Doctors?
    Authors: Junchang Li; Chengbin Chu; Jiantong Zhang; Jiaqing Sun
    Year: 2025
    Citation: Expert Systems with Applications, DOI: 10.1016/j.eswa.2025.128717, 2025-06-24

  • Title: Bilateral “pricing” for consultation companies’ competition considering customers’ switching behavior
    Authors: Junchang Li; Jiantong Zhang; Hongzhen Song
    Year: 2023
    Citation: RAIRO – Operations Research, DOI: 10.1051/ro/2023076, July 2023

  • Title: The impacts of subsidy strategies and recycling modes on the closed‐loop supply chain
    Authors: Hongzhen Song; Jiantong Zhang; Junchang Li
    Year: 2022
    Citation: Managerial and Decision Economics, DOI: 10.1002/mde.3658, December 2022

  • Title: Uncertain Multiplicative Language Decision Method Based on Group Compromise Framework for Evaluation of Mobile Medical APPs in China
    Authors: Junchang Li; Jiantong Zhang; Ye Ding
    Year: 2020
    Citation: International Journal of Environmental Research and Public Health, DOI: 10.3390/ijerph17082858, April 2020

Conclusion

Dr. Junchang Li stands as a distinguished researcher whose contributions to computer science and engineering have been both impactful and forward-looking. His strong academic foundation, extensive professional experience, and internationally recognized research highlight his value as a leader in his field. Through his innovative work in intelligent systems and data analytics, he has advanced knowledge that influences both academia and industry. His awards, honors, and active involvement in global research communities demonstrate his commitment to professional excellence and societal contribution. With proven skills in collaboration, leadership, and technical expertise, Dr. Li is well-positioned to continue making significant strides in research and innovation. His dedication, vision, and scholarly achievements make him highly deserving of recognition and a role model for future researchers.

Dragan Randelovic | Mathematical Modeling | Mathematical Modeling Breakthrough Award

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Prof. Dr. Dragan Randelovic | Mathematical Modeling | Mathematical Modeling Breakthrough Award

Full Professor at University Union Nikola Tesla, Faculty for diplomacy and security, Serbia

Prof. Dr. Dragan Ranđelović, Full Professor at Union University – Nikola Tesla, Faculty of Diplomacy and Security, is a renowned expert in Information Technology, Informatics, and Mathematics with over 45 years of academic and research experience. Earning his Ph.D. from the University of Pristina, he has led and contributed to numerous national and international projects, applying mathematical modeling to biological, economic, and sociological systems. Author of over 300 publications, including 40 Web of Science-indexed papers, 15 university textbooks, and co-editor of international volumes, he has over 400 citations with an h-index above 10. A mentor to more than 50 postgraduate candidates, he serves on editorial boards of multiple international journals and continues to influence research, education, and interdisciplinary innovation on a global scale.

Professional Profile

Google Scholar | Scopus Profile  

Education

Prof. Dr. Dragan Ranđelović earned his degree in Electronics from the Faculty of Electronics, Niš, Graduating first in his class ahead of schedule. He completed his master’s degree at the same faculty and obtained his Ph.D. from the Faculty of Science and Mathematics, University of Pristina. His academic journey reflects a deep integration of mathematics, informatics, and technology, forming the foundation for his multidisciplinary expertise. Over the years, he has also pursued continuous academic engagement through teaching, research, and scholarly collaborations. His educational achievements, rooted in rigorous technical disciplines, have underpinned a career dedicated to advancing both theoretical and applied aspects of information technology, with a strong emphasis on the role of mathematical modeling in solving complex, real-world challenges.

Experience

With over 45 years of professional experience, Prof. Dr. Ranđelović has seamlessly bridged academia, industry, and research institutions. He began as a high school teacher before joining the Institute of Electronic Industry in Niš as a development engineer, later managing one of its key research laboratories. He held senior leadership roles in various factories under Elektronska Industrija Niš, followed by significant academic appointments. His tenure includes assistant, associate, and full professorships across universities in Serbia, including the University of Pristina, University of Belgrade, University of Novi Sad, and the University of Criminalistics and Police Studies. Currently, he is Full Professor and Head of the Department of Software Engineering and IT at Union University – Nikola Tesla, Faculty of Diplomacy and Security.

Research Interest

Prof. Dr. Ranđelović’s research interests span information technology, informatics, applied mathematics, and advanced computational methods. He has focused on mathematical modeling for decision-making processes across diverse domains, including biological, economic, and sociological systems. His work integrates statistical analysis, experimental design, and simulation models to develop innovative solutions to complex interdisciplinary problems. He is particularly engaged in research on analytical decision-making frameworks that leverage modern information technologies for real-world applications. His interests also include artificial intelligence applications, data-driven methodologies, and the integration of mathematical models in policy-making and industrial optimization. Through his extensive projects and editorial work, he continuously advances the application of mathematical principles in emerging technology-driven environments, influencing both academic research and industry practices.

Award and Honor

Prof. Dr. Ranđelović’s distinguished career has been marked by significant academic and professional recognition. He has been invited to serve on the editorial boards of multiple international journals, such as Artificial Intelligence Advances and Mathematics and Computer Science, reflecting his scholarly authority. His role as Guest Editor for a special issue of the prestigious Symmetry journal highlights his continued leadership in the academic community. Additionally, his contributions as a mentor to over 50 master’s and specialist candidates, as well as doctoral students, demonstrate his commitment to developing future scholars. His long-standing involvement in high-impact national and international projects further attests to his professional standing and the respect he commands in the fields of information technology and mathematical modeling.

Research Skill

Prof. Dr. Ranđelović possesses an exceptional combination of theoretical expertise and applied research skills. His proficiency includes advanced mathematical modeling, algorithm design, data analytics, simulation techniques, and the development of decision-support systems. He has significant experience in managing interdisciplinary research projects, coordinating teams, and integrating complex datasets into actionable insights. His skill set extends to academic writing, peer reviewing, and editorial leadership, supported by over 300 publications and 150 review assignments. His ability to translate mathematical frameworks into practical applications across varied fields—from economics to security—has positioned him as a versatile researcher. These competencies, coupled with his leadership in both academic and industrial settings, underscore his capacity to address emerging challenges through innovative and methodical approaches.

Publication Top Notes

  • Title: Triple Modular Redundancy Optimization for Threshold Determination in Intrusion Detection Systems
    Authors: I. Babić, A. Miljković, M. Čabarkapa, V. Nikolić, A. Đorđević, M. Ranđelović, …
    Year: 2021
    Citations: 14

  • Title: Determining VLSI Array Size for One Class of Nested Loop Algorithms
    Authors: E. I. M. Titokic, I. Z. Milovanović, D. M. Randjelović
    Year: 1998
    Citations: 13*

  • Title: Challenging Ergonomics Risks with Smart Wearable Extension Sensors
    Authors: N. Maksimović, M. Čabarkapa, M. Tanasković, D. Randjelović
    Year: 2022
    Citations: 12

  • Title: Prediction of Important Factors for Bleeding in Liver Cirrhosis Disease Using Ensemble Data Mining Approach
    Authors: A. Aleksić, S. Nedeljković, M. Jovanović, M. Ranđelović, M. Vuković, …
    Year: 2020
    Citations: 12

  • Title: Use of Determination of the Importance of Criteria in Business-Friendly Certification of Cities as Sustainable Local Economic Development Planning Tool
    Authors: M. Ranđelović, S. Nedeljković, M. Jovanović, M. Čabarkapa, V. Stojanović, …
    Year: 2020
    Citations: 12

  • Title: SOSerbia: Android-Based Software Platform for Sending Emergency Messages
    Authors: M. Jovanović, I. Babić, M. Čabarkapa, J. Mišić, S. Mijalković, V. Nikolić, …
    Year: 2018
    Citations: 12

  • Title: A Multicriteria Decision Aid-Based Model for Measuring the Efficiency of Business-Friendly Cities
    Authors: M. Jovanović, S. Nedeljković, M. Ranđelović, G. Savić, V. Stojanović, …
    Year: 2020
    Citations: 11

  • Title: An Advanced Quick-Answering System Intended for the e-Government Service in the Republic of Serbia
    Authors: S. Nedeljković, V. Nikolić, M. Čabarkapa, J. Mišić, D. Ranđelović
    Year: 2019
    Citations: 11

  • Title: The Design of the Personal Enemy-MIMLebot as an Intelligent Agent in a Game-Based Learning Environment
    Authors: K. Kuk, I. Z. Milentijević, D. Ranđelović, B. M. Popović, P. Čisar
    Year: 2017
    Citations: 11

  • Title: Intelligent Agents and Game-Based Learning Modules in a Learning Management System
    Authors: K. Kuk, D. Rančić, O. Pronić-Rančić, D. Ranđelović
    Year: 2016
    Citations: 11

  • Title: Study Program Selection by Aggregated DEA-AHP Measure
    Authors: G. Savić, D. Makajić-Nikolić, D. Ranđelović, M. Ranđelović
    Year: 2013
    Citations: 11

  • Title: Determination of Invariant Measures: An Approach Based on Homotopy Perturbations
    Authors: V. Stojanović, T. Kevkić, G. Jelić, D. Ranđelović
    Year: 2018
    Citations: 8

  • Title: Different Methods for Fingerprint Image Orientation Estimation
    Authors: B. M. Popović, M. V. Bandur, A. M. Raičević, D. Ranđelović
    Year: 2012
    Citations: 8

Conclusion

Prof. Dr. Dragan Ranđelović’s illustrious career stands as a testament to his dedication to advancing information technology, mathematics, and interdisciplinary research. His educational foundation, vast professional experience, and prolific scholarly output have left a lasting impact on both academia and industry. Through decades of research, teaching, and leadership, he has fostered innovation in mathematical modeling and its real-world applications. His mentorship of future professionals and active engagement in editorial and collaborative roles exemplify his commitment to the global academic community. Looking forward, his expertise and vision position him to continue contributing groundbreaking work, further solidifying his reputation as a leader in integrating mathematical and technological solutions to address complex societal and scientific challenges.

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)