Prof. Dr. Lech Sitnik | Discrete Modelling Awards | Excellence in Research

Prof. Dr. Lech SITNIK , Wroclaw University of Science and Technology , Tonga

Prof. Lech J. Sitnik, PhD, DSc, is a renowned researcher with a robust background in scientific theory and applied mathematics. He has developed several key theories, including those on cumulative degradation of solids, cavitation erosion mechanisms, and fatigue impact of liquid streams on solid materials. His work also covers the theory of cumulative energy consumption in vehicles and fluid filtration. Prof. Sitnik has extensive experience in designing and analyzing experiments, mathematical modeling, and applying various advanced mathematical methods, including artificial intelligence and optimization techniques. He has led numerous research projects both locally and in the EU, and has been involved in patenting innovations with 13 granted patents and 33 applications. His expertise extends to creating new technologies, training on innovation implementation, and organizing conferences. Prof. Sitnik is also an experienced educator, conducting classes in Polish, German, and English

Professional Profile:

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🎓Education:

Prof. Lech J. Sitnik holds a Doctor of Science (DSc) degree and a Doctor of Philosophy (PhD). While specific details regarding the institutions and dates for these degrees are not provided, his advanced academic qualifications underpin his extensive expertise in scientific theory and applied mathematics.

🏢Work Experience:

Prof. Lech J. Sitnik is a distinguished researcher and theorist known for developing groundbreaking theories on cumulative degradation of solids, cavitation erosion, fatigue impact of liquid streams, cumulative energy consumption in vehicles, and fluid filtration. His extensive research experience includes mathematical design of experiments, mathematical modeling, and the application of advanced methods such as artificial intelligence, fuzzy algebra, genetic algorithms, and Monte Carlo methods. As a project leader, he has spearheaded numerous research initiatives both locally and within the EU, focusing on new technology development, patenting innovations, and implementing training programs. Additionally, Prof. Sitnik has conducted training in durability, reliability, vehicle diagnostics, and waste-to-fuel technologies, and has organized various international and national conferences. His teaching career spans multiple languages, including Polish, German, and English, reflecting his broad educational impact.

🏆Awards:

Prof. Lech J. Sitnik has an impressive portfolio of intellectual property, including 13 granted patents, 33 patent applications, and 3 utility models. This extensive collection underscores his significant contributions to innovation and technology.

Publication Top Notes:

Title: Assessment of Energy Footprint of Pure Hydrogen-Supplied Vehicles in Real Conditions of Long-Term Operation

Mr. Vishnu Prathapan | Discrete Modelling | Best Researcher Award

Mr. Vishnu Prathapan, Medical School Hamburg, Germany

Vishnu Prathapan is a results-driven biomedical engineer with a focus on computational modeling and medical imaging. His expertise lies in extracting and analyzing brain dynamics through advanced image processing and numerical simulations, particularly in the context of human brain diseases. Currently, he is actively involved in research on Multiple Sclerosis disease progression across brain regions using computer simulation techniques.

📚 Educational Background:

M.Sc. in Computational Science and Engineering (Specialization in Mechanical) from Universität Rostock, Germany (04/2016-03/2019). His coursework included computational fluid dynamics, fluid dynamics, modeling and simulation of turbulence, modern wind turbines, and high-performance computing.

B.E. in Mechanical Engineering from Park College of Technology, Anna University, Chennai, India (07/2011-06/2015).

👨‍💼 Experience:

Research Assistant at Medical School Hamburg (10/2021-present) and Institute for Anatomy, Universitätsmedizin Rostock, Germany (11/2019-10/2021). He is tasked with computing dynamical changes in neural activity to predict disease progression in Multiple Sclerosis by applying the Hodgkin Huxley equation in the connectome network using Python environment. He has contributed to a publication titled “Modeling and simulation for prediction of multiple sclerosis progression: A review and perspective” in Computers in Biology and Medicine.

Master Thesis at Chair of Fluid Mechanics, Universität Rostock, Germany (10/2018-03/2019), focusing on the construction of a 3D surface model of blood vessels in the brain from medical image data and the analysis of simulation results.

Student Research Assistant at Institute of General Electrical Engineering, Universität Rostock, Germany (04/2018-06/2018), where he worked on the electromechanical model of Nerve Pulse propagation using Matlab and Finite Difference Method.