Vladimir Kodnyanko | Applied Mathematics | Best Researcher Award

Dr. Vladimir Kodnyanko | Applied Mathematics | Best Researcher Award

Professor at Siberian Federal University, Russia

Professor Vladimir Kodnyanko, a Doctor of Technical Sciences, serves as a Professor in the Department of Standardization, Metrology, and Quality Management at the Polytechnic Institute of Siberian Federal University. Born on October 26, 1951, in Podtiosovo, Krasnoyarsk Territory, he graduated from Krasnoyarsk State University in 1974 with a degree in Mathematics. His career at Krasnoyarsk Polytechnic Institute began in 1974, progressing from junior researcher to full professor by 2002. Professor Kodnyanko earned his Ph.D. in 1983 from the Research Institute of Mechanical Engineering, Moscow, and his Doctorate in Technical Sciences in 2005 from Krasnoyarsk State Technical University. His research focuses on rapid mathematical modeling and the development of gas-static and hydrostatic bearings, leading to 186 publications, including six monographs, and 39 patents. He has been recognized with multiple honors, such as the honorary title of professor at KSTU in 2001 and an honorary diploma from the Russian Union of Industrialists and Entrepreneurs in 2011. In 2015, he joined the joint dissertation council at SFU and the Institute of Mathematical Modeling SB RAS.

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Education

Professor Vladimir Kodnyanko was born on October 26, 1951, in Podtiosovo, Krasnoyarsk Territory. He pursued higher education at Krasnoyarsk State University, earning a degree in Mathematics in 1974. His academic journey continued with postgraduate studies, leading to a Ph.D. in 1983 from the Research Institute of Mechanical Engineering, Moscow. Demonstrating his commitment to scientific advancement, he obtained his Doctorate in Technical Sciences in 2005 from Krasnoyarsk State Technical University. Throughout his educational journey, Professor Kodnyanko developed a strong foundation in mathematical modeling and engineering applications, which later became central to his research. His expertise in applied mathematics and mechanical engineering has greatly contributed to his innovative approaches in the field of gas-static and hydrostatic bearings. His educational achievements laid the groundwork for a distinguished career in academia, research, and technological development, positioning him as a leading expert in standardization, metrology, and quality management.

Professional Experience

Professor Vladimir Kodnyanko’s professional career spans several decades, beginning in 1974 when he joined Krasnoyarsk Polytechnic Institute as a junior researcher. Over the years, he steadily advanced through academic ranks, serving as an assistant, associate professor, and eventually earning the title of full professor in 2002. His expertise and contributions led him to the Polytechnic Institute of Siberian Federal University, where he currently serves as a professor in the Department of Standardization, Metrology, and Quality Management. His career is marked by active participation in academic councils and professional organizations, including his role in the joint dissertation council at SFU and the Institute of Mathematical Modeling SB RAS. Professor Kodnyanko has also been instrumental in mentoring young researchers, supervising doctoral students, and leading research projects in applied mathematics and engineering. His dedication to academia has significantly influenced the development of precision engineering and mathematical modeling techniques.

Research Interest

Professor Vladimir Kodnyanko’s research focuses on rapid mathematical modeling, with a particular emphasis on gas-static and hydrostatic bearings. His work integrates applied mathematics and engineering principles to enhance the efficiency and performance of high-precision mechanical systems. His studies explore the dynamics of fluid lubrication, optimization of bearing structures, and the application of mathematical models to predict system behavior under various operating conditions. His research has practical applications in aerospace, automotive, and industrial machinery, where high-performance bearings are critical for operational reliability. Professor Kodnyanko has authored 186 scientific publications, including six monographs, and holds 39 patents related to his innovations in mechanical engineering. His pioneering work has contributed significantly to advancing the field of tribology, improving the design and functionality of precision bearings used in various industries. Through his research, he continues to bridge the gap between theoretical mathematics and practical engineering applications.

Awards and Honors

Throughout his distinguished career, Professor Vladimir Kodnyanko has received numerous awards and honors recognizing his contributions to science and engineering. In 2001, he was awarded the honorary title of professor at Krasnoyarsk State Technical University in acknowledgment of his academic and research achievements. His dedication to advancing mathematical modeling and mechanical engineering earned him an honorary diploma from the Russian Union of Industrialists and Entrepreneurs in 2011. His contributions to the field of precision engineering and bearing technology have positioned him as a leading expert in his domain. In addition to institutional honors, he has been actively involved in national and international scientific communities, further solidifying his influence in engineering research. His recognition extends beyond academia, as his work has practical industrial applications that have improved the efficiency and reliability of mechanical systems. His awards reflect his lasting impact on science, engineering, and technological innovation.

Conclusion

Professor Vladimir Kodnyanko’s career exemplifies dedication to research, education, and technological advancement. With a strong foundation in mathematics and engineering, he has made groundbreaking contributions to rapid mathematical modeling and the development of gas-static and hydrostatic bearings. His extensive body of work, including 186 scientific publications and 39 patents, showcases his influence in precision engineering. As a professor at the Polytechnic Institute of Siberian Federal University, he continues to shape the next generation of researchers and engineers. His leadership in academic councils, research institutions, and industrial collaborations highlights his commitment to advancing scientific knowledge and engineering applications. Recognized with multiple prestigious awards, he remains a respected authority in his field. Through his research, mentorship, and professional contributions, Professor Kodnyanko has left an indelible mark on applied mathematics and mechanical engineering, inspiring future innovations in the field.

Publications Top Noted

  • Title: Theoretical Study of the Static and Dynamic Characteristics of a Slotted Adaptive Hydrostatic Thrust Bearing with a Regulator of the Lubricant Output Flow
    Authors: V.A. Kodnyanko, A.S. Kurzakov, A.V. Surovtsev, S. Belyakova, L. Gogol
    Year: 2022
    Citations: 1
    Source: Mathematics

  • Title: Theoretical Study on Compliance and Stability of Active Gas-Static Journal Bearing with Output Flow Rate Restriction and Damping Chambers
    Authors: V.A. Kodnyanko, A.S. Kurzakov, O. Grigorieva, A.V. Surovtsev, L.V. Strok
    Year: 2021
    Citations: Not specified
    Source: Lubricants

  • Title: Theoretical Study on Dynamics Quality of Aerostatic Thrust Bearing with External Combined Throttling
    Authors: V.A. Kodnyanko, S.N. Shatokhin
    Year: 2020
    Citations: 21
    Source: FME Transactions 48 (2)

  • Title: Mathematical Modeling on Statics and Dynamics of Aerostatic Thrust Bearing with External Combined Throttling and Elastic Orifice Fluid Flow Regulation
    Authors: V. Kodnyanko, S. Shatokhin, A. Kurzakov, Y. Pikalov
    Year: 2020
    Citations: 16
    Source: Lubricants 8 (5), 57

  • Title: Method for Calculating the Static Characteristics of Radial Hydrostatic Compensator of Machine Tool Bearings Deformation
    Authors: V.A. Kodnyanko
    Year: 2021
    Citations: 4
    Source: Periodica Polytechnica Transportation Engineering 49 (2), 114-119

  • Title: Compliance of Gas-Dynamic Bearing with Elastic Compensator of Movement
    Authors: V.A. Kodnyanko, A.S. Kurzakov
    Year: 2017
    Citations: 3
    Source: Journal of Siberian Federal University. Engineering & Technologies 10 (5), 657

  • Title: Directional Splines for Economic Analytics
    Authors: V. Kodnyanko
    Year: 2020
    Citations: 2
    Source: Economic Computation & Economic Cybernetics Studies & Research 54 (3)

  • Title: On Computational Redundancy of the Dichotomous Search and Conditional Minimization of Unimodal Functions by the Economical Dichotomous Search
    Authors: V.A. Kodnyanko
    Year: 2019
    Citations: 2
    Source: Sistemy i Sredstva Informatiki [Systems and Means of Informatics] 29 (1)

  • Title: Stability of Energy-Saving Adaptive Journal Hydrostatic Bearing with a Restriction of the Output Lubricant Stream
    Authors: V.A. Kodnyanko
    Year: 2012
    Citations: 2
    Source: Engineering & Technologies 4 (6), 674-684

 

Samir Brahim Belhaouari | Applied Mathematics | Best Researcher Award

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

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

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

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Education

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

Professional Experience

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

Research Interest

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

Award and Honor

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

Conclusion

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

Publications Top Noted

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

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

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

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

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

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

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

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

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

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