Tomasz Lechowicz | Network Research | Excellence in Innovation 

Published on by Network Science

Dr. Tomasz Lechowicz | Network Research | Excellence in Innovation 

University of Business (WSB-NLU) - Study, Nowy Sacz | Poland

Dr. Tomasz Lechowicz is an accomplished academic and economist who began his educational journey with a Licencjat degree in Management and Marketing from Małopolska Wyższa Szkoła Ekonomiczna in Tarnów in 2000, followed by a Magister degree in Economics from Akademia Ekonomiczna in Kraków in 2003, and later earned the title of Doctor of Economic Sciences in Economics and Finance from the University of Rzeszów in 2023. Over the years, he has built a diverse professional career in Poland and the United Kingdom, holding key positions in organizations including Dextra Group PLC, Johnsons Stalbridge Linen Services, Addo Food Group as Deputy Shift Manager, TDP Sp. z o.o. as Shift Manager, BRUK-BET as Production Champion, DALIANT TALENT as Shift Manager, and later as Owner of PKO BP Agent. Since 2020 he has remained active in higher education, serving as an Assistant Professor at the National Louis University Business School in Nowy Sącz and as a Lecturer at Tarnów University since 2024, teaching a wide spectrum of subjects such as Team Management, HR Strategies and Processes, Management Concepts, Basics of Economics and Management, Managerial Economics, Logistics, Human Resource Management, Corporate Finance, Basics of Finance, and Banking. With fluent English skills confirmed by the University of Cambridge ESOL Skills for Life certificate obtained in 2006, Dr. Lechowicz has also established himself as an influential researcher in the fields of finance and the real estate market, authoring two scientific books and more than twenty articles published in renowned academic journals and publishing houses, with his research focusing particularly on real estate financing, the banking sector, financial crises, and the impact of monetary policy on housing markets in Poland and the United Kingdom.

Profiles: Scopus | Orcid

Featured Publications

"Assessment of the Association Between Industrial Production Indicators and Business Expectations: Implications for Sustainable Economic Development", Serhii Kozlovskyi; Oleksandr Dluhopolskyi; Volodymyr Kozlovskyi; Anna Sabat; Tomasz Lechowicz; Ivan Zayukov; Larysa Oliinyk, Sustainability, 2025.

"Synergy of Energy-Efficient and Low-Carbon Management of the Logistics Chains Within Developing Distributed Generation of Electric Power: The EU Evidence for Ukraine", Olena Borysiak; Vasyl Brych; Volodymyr Manzhula; Tomasz Lechowicz; Tetiana Dluhopolska; Petro Putsenteilo, Energies, 2025.

"Unveiling Tipping Points in European Sustainability: A Nonlinear MARS Approach to People, Planet, and Prosperity", Oksana Liashenko; Olena Pavlova; Kostiantyn Pavlov; Tomasz Lechowicz; Robert Szarota; Maryna Nagara; Nataliia Hrytsiyk, Sustainability, 2025.

"Characteristics of the housing loan market in Poland and Great Britain in 2003–2017", Tomasz Lechowicz, Problems of Economics and Law, 2024.

"Economic situation on the residential real estate market and the housing loan market in Poland and Great Britain", Tomasz Lechowicz, Problems of Economics and Law, 2023.

Bin Song | Technological Networks | Best Researcher Award

Published on by Network Science

Dr. Bin Song | Technological Networks | Best Researcher Award

Southwest Petroleum University | China

Dr. Bin Song, Doctor of Engineering, is an Associate Researcher and Master's Supervisor at Southwest Petroleum University. His research is dedicated to gas safety and integrity assessment, hydrogen storage and transportation, and efficient utilization. He has authored more than 20 high-level academic papers, with 16 indexed in SCI, and holds 4 national invention patents, including one that has successfully undergone technological transformation. In addition, he has contributed to the compilation of 2 industry/township standards, reflecting his active role in advancing research and practice in the field.

Profiles: Orcid ID

Featured Publications

"Experimental and numerical study on explosion characteristics and hazards of methane-air mixtures in a chamber"

"Gas dispersion and non-uniform explosion characteristics in large dining venues: numerical simulation and experimental validation"

"Quantitative risk assessment of gas leakage and explosion in open kitchens and partitioned kitchens"

Mahdieh Azizian | Machine Learning | Best Researcher Award

Published on by Network Science

Dr. Mahdieh Azizian | Machine Learning | Best Researcher Award

Kerman University of Medical Sciences | Iran

Dr. Mahdieh Azizian is an accomplished scholar in Applied Mathematics with a Ph.D. in Numerical Analysis from Shahid Bahonar University of Kerman, where her doctoral research focused on optimizing dynamical models of tumor control using fuzzy dynamical systems. Building on her earlier M.Sc. and B.Sc. degrees in Applied Mathematics from the same university, she has developed a strong expertise in mathematical modeling, bioinformatics, epidemiology, and cancer research. Over the years, Dr. Azizian has actively contributed as a lecturer and workshop instructor in numerous national and international academic forums, covering topics such as cancer mathematical modeling, numerical methods, data mining, and interdisciplinary applications of mathematics in medical sciences. She has also held key academic and administrative roles, including membership in the Research Council of the School of Medicine and serving as Superintendent of the Statistics Department at Kerman University of Medical Sciences. Recognized for her teaching excellence, she was honored as a Superior Instructor in 2014, in addition to receiving distinctions as a top student during her academic studies. Through her extensive teaching, research, and administrative experiences, Dr. Azizian has established herself as a dedicated educator and researcher at the intersection of mathematics and medical sciences.

Profiles: Scopus | Orcid | Google Scholar

Featured Publications

"An interval version of Black–Scholes European option pricing model and its numerical solution"

"Time Series Model for Forecasting the Prevalence of Some Important Parasitic Infections in Slaughtered Sheep in North-Central Iran"

"Estimating the Number of COVID-19 Cases and Impact of New COVID-19 Variants and Vaccination on the Population in Kerman, Iran: A Mathematical Modeling Study"

"A Brief History of Listening Comprehension in Second Language Teaching and Learning"

"An Empirical Study on the Effects of Using Kahoot as a Game-Based Learning Tool on EFL Learners’ Vocabulary Recall and Retention"