Shafquat Hussain | Mathematical Modeling | Best Researcher Award

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Dr. Shafquat Hussain | Mathematical Modeling | Best Researcher Award

Ph.D Student at University of Genova, Italy

Shafquat Hussain 🎓 is a dynamic and forward-looking researcher in Power Electronics, Power Systems, and Control Systems ⚡. Currently pursuing his Ph.D. at the University of Genova 🇮🇹, he specializes in cutting-edge control techniques like FCS-MPC, IDA-PBC, PI, and Model-Free Control 🔧. With a strong foundation from Mehran University 🇵🇰, he has contributed significantly through hands-on experience in FPGA-based controller design and multilevel converters. Shafquat’s research spans innovative inverter technologies, UPS control strategies, and hybrid electric systems 🚗🔋. His scholarly work is published in reputed journals like Energies and IEEE 🧠📚. Technically proficient in MATLAB, Typhoon HIL, and FPGA co-simulations, he demonstrates a robust ability to model, simulate, and implement real-world power conversion solutions. Passionate about sustainable energy and intelligent control, he continues to develop practical and impactful solutions 🔋🌍. Shafquat exemplifies the spirit of innovation and academic excellence, making him a promising candidate for top-tier research recognition 🏅.

Professional Profile

 Scopus Profile

Education 🎓📘

Shafquat Hussain has pursued a richly layered academic journey rooted in electrical engineering and powered by passion ⚡. He earned his Bachelor’s and Master’s degrees from Mehran University of Engineering and Technology, Pakistan 🇵🇰, with specialization in Electrical Power, securing top-tier grades and excelling in advanced power electronics. During his Master’s, he ventured into FPGA design and real-time simulations, developing innovative PID controllers for buck converters using Xilinx System Generator. He is currently a Ph.D. scholar at the University of Genova, Italy 🇮🇹, working in PETRA LAB, diving deep into advanced control strategies such as FCS-MPC, IDA-PBC, PI, and Model-Free Control for Voltage Source Inverters and multilevel converters like FCC, NPC, and multiplexed topologies. His academic background reflects a strong blend of theory, simulation, and hardware experimentation 🧠💡. Shafquat’s educational profile showcases a continuous ascent toward excellence and innovation in energy systems and power control 🔋.

Professional Experience 💼🔧

Shafquat brings a wealth of hands-on teaching and research experience to the table. As a Lecturer at Indus University, Pakistan 🇵🇰 (2018–2022), he honed his expertise in power converter design and experimental hardware setups 🔬. His role extended beyond classroom instruction—he actively engaged students in practical labs, mentored final-year projects, and innovated in controller design for power electronics. His lab proficiency spans DC-DC converters, FPGA integration, and the use of MATLAB Simulink for advanced simulations 📊. Now, as a Ph.D. researcher at the University of Genova 🇮🇹, he collaborates with leading scholars in Europe, working on real-time implementations using TI C2000 and FPGA boards, exploring novel controller topologies like PR controllers, IDA-PBC, and Model-Free Controllers. His transition from educator to cutting-edge researcher underscores his multi-dimensional professional journey. Shafquat’s experience bridges academic theory and real-world application seamlessly, enhancing his profile as a leader in the evolving energy technology sector 🔌🌍.

Research Interest 🧪🔋

Shafquat Hussain’s research compass points firmly toward Power Electronics, Control Systems, and Sustainable Energy Conversion 🌱. He is passionate about developing smarter, faster, and more efficient control techniques for power converters and inverters—particularly those utilized in UPS systems, electric vehicles, and renewable energy setups ☀️🚗. His expertise includes Finite Control Set Model Predictive Control (FCS-MPC), Passivity-Based Control (IDA-PBC), and Model-Free Controllers, with application across multilevel inverters, Z-source inverters, and hybrid power systems 🔄. Shafquat also focuses on integrating FPGA hardware co-simulations and digital controllers like PR control into practical energy systems, leveraging tools like MATLAB, Typhoon HIL, and Qspice. His research not only contributes to academic literature but also to real-world implementations of resilient, high-performance power infrastructure 💡🏭. By exploring intersections of control theory, simulation, and hardware design, Shafquat aims to push the frontiers of future-proof power system solutions 🌐⚡.

Awards and Honors 🏅📜

While Shafquat’s formal accolades are still in development, his trajectory is rich with academic achievements and scholarly milestones that highlight his upward momentum 🌟. His Master’s thesis received recognition for its innovative use of FPGA to design PID and fuzzy logic controllers for DC-DC converters—an achievement that laid the groundwork for future publications 📘. He has authored and co-authored multiple peer-reviewed articles in reputed journals like Energies (MDPI) and IEEE conferences, showcasing novel control comparisons and power conversion strategies 🧠📑. He has also earned certificates from prestigious Coursera courses, covering Power Electronics, Converter Control, and Magnetics for PE 🖥️. These accolades underscore his commitment to continuous learning and expertise enhancement. While he awaits high-profile awards, Shafquat’s consistent record of research productivity, innovation, and impactful solutions speaks volumes. He is undoubtedly on the path to earning prestigious research awards in power electronics and intelligent control 🌍🏆.

Conclusion 🎯📈

Shafquat Hussain is a rising innovator in the domains of Power Electronics and Control Systems—driven by passion, precision, and persistence 🔍⚙️. From his early academic foundations in Pakistan to his current research at the University of Genova, Italy, he has demonstrated unwavering dedication to crafting intelligent solutions for real-world energy challenges 🌐🔋. With a portfolio brimming with practical projects, simulations, and high-impact publications, he embodies the qualities of a next-generation scholar. Shafquat’s skills in MATLAB, FPGA, Typhoon HIL, and predictive control techniques make him a versatile and future-ready researcher 🌟. His vision to optimize inverter technologies and controller dynamics aligns with the global call for smarter energy systems. As he continues advancing the field through innovation and collaborative research, he proves to be a compelling candidate for recognition as a Best Researcher 🥇. Shafquat’s journey is only beginning—and the best is yet to come 🚀📚.

Publications Top Notes

📗 Comparative Study of Passivity, Model Predictive, and Passivity-Based Model Predictive Controllers in Uninterruptible Power Supply Applications

  • 👨‍🔬 Authors: Hussain, S.; Bakeer, A.; Mohamed, I.S.; Marchesoni, M.; Vaccaro, L.

  • 📅 Year: 2023

  • 📖 Citation: Energies, 16, 5594

  • 🔗 Source: DOI: 10.3390/en16155594

  • 📚 Focus: Evaluation of advanced control strategies for UPS performance optimization 🔌🔍.

📘 Efficiency Performance of 7-Level Multiplexed and 3-Level Neutral Point Clamped (NPC) Converters

  • 👨‍🔬 Authors: Hussain, S.; Cosso, S.; Passalacqua, M.; Vaccaro, L.R.; Formentini, A.; Marchesoni, M.

  • 📅 Year: 2025

  • 📖 Citation: Energies, 18, 2161

  • 🔗 Source: DOI: 10.3390/en18092161

  • 📚 Focus: Comparative efficiency assessment of high-level inverter topologies in power systems ⚡🔋.

📘 Simulative Analysis of Power Conversion System for Hybrid Electric Vehicles Based on Dual Input Sources Including Charging from Solar Panel

  • 👨‍🔬 Authors: Hussain, S. et al.

  • 📅 Year: 2020

  • 📖 Citation: Pakistan Journal of Engineering & Technology, 3(3), 14–19

  • 🔗 Source: Published in Pakistan J Engg & Tech

  • 📚 Focus: Solar-assisted dual input system modeling for electric vehicle energy management 🚗☀️.

📙 Comparative Analysis of PID and Fuzzy Logic Controller for Buck Converter (Master’s Thesis)

  • 👨‍🔬 Authors: Shafquat Hussain Bhellar, Zubair Ahmed Memon, Tayab Din Memon, Yasir Bhutto, Abdul Majeed

  • 📅 Year: 2018

  • 📖 Citation: ESTIRJ, March Issue

  • 🔗 Source: ESTIRJ

  • 📚 Focus: Intelligent vs. classical control method study in DC-DC buck converters 🤖📉.

📕 Power Quality Improvement in Power System Network using Unified Power Flow Controller

  • 👨‍🔬 Authors: Abdul Majeed Khaskheli, Mukhtiar Ahmed Mahar, Abdul Sattar Larki, Shafquat Hussain Bhellar

  • 📅 Year: 2018

  • 📖 Citation: IEEE Conference Publication

  • 🔗 Source: IEEE Xplore

  • 📚 Focus: Implementation of UPFC for enhancing network reliability and voltage quality 🌐⚙️.

📘 Analysis of Photovoltaic System at Various Sites of Pakistan Using Retscreen Software

  • 👨‍🔬 Authors: Yasir Ali Bhutto, Mukhtiar Ahmed Mahar, Abdul Sattar Larik, Shafquat Hussain Bhellar, Assadullah Khuhawar

  • 📅 Year: 2018

  • 📖 Citation: ESTIRJ, 2018

  • 🔗 Source: ESTIRJ

  • 📚 Focus: RETScreen-based feasibility studies of solar power deployment across Pakistan 🛰️📍.

📙 Unified Power Flow Controller Application for Power Quality Improvement in Power System Network

  • 👨‍🔬 Authors: Same contributors as prior UPFC study

  • 📅 Year: Possibly 2018

  • 📖 Citation: Likely a restructured or complementary work from IEEE

  • 📚 Focus: Reinforces practical implications of UPFC in grid enhancement scenarios ⚡🛠️.

📒 Analysis of Efficient FPGA-Based PID Controller for DC-DC Buck Boost Converter Using Hardware Co-Simulation Setup

  • 👨‍🔬 Authors: Shafquat Hussain et al.

  • 📅 Year: Not specified

  • 📖 Citation: Published in Sukkur IBA Journal

  • 🔗 Source: Sukkur IBA University

  • 📚 Focus: Real-time implementation of PID via FPGA in converter circuits using hardware simulation 🧩⚙️.

 

Katlego Sebogodi | Mathematical Modeling | Best Researcher Award

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Dr. Katlego Sebogodi | Mathematical Modeling | Best Researcher Award

Lecturer at University of South Africa, South Africa

Dr. Katlego Sebogodi is a distinguished mathematician and educator with a PhD in Mathematics from the University of Witwatersrand. His research focuses on asymmetric topology, modular quasi-metric spaces, fluid mechanics, and AI-driven mathematical modeling. He has published in reputable journals and supervises postgraduate students in advanced mathematical research. With extensive teaching experience at institutions like the University of South Africa and the University of Johannesburg, he has contributed significantly to mathematics education. A recipient of the 2021 UJ Community Engagement Prize and the 2024 Department of Mathematics Educhanger of the Month award, Dr. Sebogodi actively fosters STEM education through his NPO, MATHSCIEMATICS, and authorship of STAR MATHS and STAR PHYSICS study guides. His leadership roles in academic committees, peer review contributions, and participation in national and international awards highlight his commitment to advancing mathematical sciences. His research, mentorship, and outreach efforts make him a strong candidate for the Best Researcher Award.

Professional Profile

 Scopus Profile

Education

Dr. Katlego Sebogodi pursued his academic journey in mathematics with a strong foundation at North-West University, where he earned a BSc in Mathematical Sciences (2012-2013), followed by a BSc Honours in Mathematics and Applied Mathematics (2014). He further specialized with an MSc in Mathematics (2015-2016), focusing on advanced mathematical structures. Driven by a passion for mathematical research, he completed his PhD at the University of Witwatersrand (2018-2019) under the supervision of Prof. Olivier Olela Otafudu. His doctoral research explored topological aspects of modular quasi-metric spaces, contributing to the broader understanding of asymmetric topology and metric structures. His academic progression showcases a commitment to deepening his expertise in mathematical sciences, laying a strong foundation for his subsequent teaching, research, and professional contributions. His educational background is complemented by active participation in mathematical awards and workshops, ensuring continuous engagement with emerging trends in the field.

Professional Experience

Dr. Sebogodi has extensive teaching and academic experience across various institutions. Currently, he is a faculty member at the University of South Africa (2025–present), where he lectures on Pre-Calculus. Previously, he served at the University of Johannesburg (2018–2024), delivering courses such as Multivariable Calculus, Topology, and Linear Algebra. His earlier teaching roles include Sol Plaatje University (2018), North-West University (2015, 2017), and multiple secondary schools, where he facilitated mathematics courses for different levels. Beyond teaching, he has played leadership roles in academic committees, including serving as Head of Community Engagement and Tutor Management at the University of Johannesburg. Additionally, he actively supervises postgraduate research, guiding students in fields such as modular metric spaces, AI applications in fluid mechanics, and mathematical modeling for sustainability. His professional trajectory demonstrates a commitment to advancing mathematical education, mentoring young researchers, and contributing to institutional academic excellence.

Research Interests

Dr. Sebogodi’s research spans multiple domains within mathematics and applied sciences. His primary focus is asymmetric topology, particularly modular quasi-pseudometric spaces, contributing to advancements in non-standard metric structures. Additionally, he explores the intersection of mathematics and technology, with interests in data science, machine learning, and artificial intelligence. His work on fluid mechanics involves utilizing physics-informed neural networks (PINNs) to solve complex mathematical models, including rogue wave phenomena. In biomathematics, he investigates mathematical models for sustainability, crime cycles, and resource management. His interdisciplinary approach enables him to bridge theoretical mathematics with practical applications, fostering collaborations across scientific domains. His research outputs include publications in peer-reviewed journals, award presentations, and ongoing supervision of student projects in AI-driven mathematical modeling. Through his research, Dr. Sebogodi aims to contribute innovative mathematical solutions to real-world problems while expanding the frontiers of modern mathematical sciences.

Awards and Honors

Dr. Sebogodi has been recognized for his outstanding contributions to mathematics and education. In 2021, he received the University of Johannesburg Community Engagement Prize for his dedication to outreach and mentorship in mathematics. His commitment to excellence in teaching earned him the 2024 Department of Mathematics Educhanger of the Month award, acknowledging his role as a transformative educator. Beyond institutional recognition, he has been actively involved in community-driven initiatives, such as authoring the STAR MATHS and STAR PHYSICS study guides for high school students. He is also the founder and CEO of MATHSCIEMATICS, an NPO dedicated to supporting mathematics and science education. His contributions to academic service include refereeing for mathematical journals, organizing awards, and serving on curriculum development committees. These accolades reflect his passion for education, research, and community impact, positioning him as an influential figure in mathematical sciences.

Conclusion

Dr. Katlego Sebogodi exemplifies a distinguished scholar and educator committed to advancing mathematics through research, teaching, and community engagement. His academic journey, from earning a PhD in mathematics to mentoring postgraduate students, highlights his dedication to knowledge creation and dissemination. His expertise in asymmetric topology, data science, and mathematical modeling reflects his ability to bridge theoretical mathematics with real-world applications. Beyond academia, his community outreach initiatives and leadership roles showcase his commitment to empowering students and researchers. Recognized for his excellence in teaching and research, he has received multiple awards for his contributions to education and mathematical sciences. As an active researcher, mentor, and educator, Dr. Sebogodi continues to shape the mathematical landscape, making him a deserving candidate for prestigious research and academic awards. His work serves as an inspiration for the next generation of mathematicians, reinforcing the critical role of mathematical sciences in technological and societal advancements.

Publications Top Noted

Title: A Simple Model of the Draupner Wave Experiment
Authors: G.C. Hocking, E. Nel, A. Markham, S. Ahmedai, N. Freeman
Year: 2025
Citations: 0 (as of now)
Source: Partial Differential Equations in Applied Mathematics

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)