Prof. Magdalena Piasecka | Temperature Measurement | Excellence in Research

Prof. Magdalena Piasecka, Kielce University of Technology, Poland

Dr. Magdalena Piasecka is a Full Professor and Head of the Department of Mechanics and Thermal Processes at Kielce University of Technology, Poland. She earned her Ph.D. from Kielce University of Technology in 2002, followed by a habilitation from Koszalin University of Technology in 2015. In 2020, she was awarded the title of Professor in technical sciences by the President of Poland. Her research focuses on flow boiling heat transfer in minigaps, investigating the effects of geometry, spatial orientation, and thermal parameters on boiling processes. She specializes in enhanced heat transfer surfaces, advanced temperature measurement techniques such as liquid crystal and infrared thermography, and mathematical modeling of heat and fluid flow. With over 230 scientific publications, she has an H-index of 24 and more than 1,100 citations. She has authored three monographs and holds two patents. Dr. Piasecka has participated in 12 research projects, serving as Principal Investigator in five. Her contributions to thermodynamics, fluid mechanics, and renewable energy have earned her multiple awards and distinctions for scientific excellence.

Professional Profile:

SCOPUS

Summary of Suitability for Excellence in Research

Prof. Magdalena Piasecka is a highly deserving candidate for the Excellence in Research Award, given her outstanding contributions to heat transfer, thermodynamics, and fluid mechanics. Her extensive publication record, leadership in research projects, and impact on the scientific community demonstrate her exceptional research excellence.

🎓 Education & Academic Titles:

Ph.D. (2002) – Kielce University of Technology, Poland
Habilitation (2015) – Koszalin University of Technology, Poland
Professor Title (2020) – Conferred by the President of Poland in Technical Sciences

👩‍🏫 Work Experience:

Full Professor & Head of the Department of Mechanics and Thermal Processes – Kielce University of Technology, Poland

🏆 Achievements:

📚 230+ Scientific Publications in peer-reviewed journals & international conferences
📈 Web of Science Bibliometric Metrics:
- H-index: 24
- Total Citations: 1102 (480 excluding self-citations)
- Total Impact Factor (IF): 108.6 (current), 108.89 (5-year IF)
📖 Books & Patents:
- 2 Monographs (Author), 1 Monograph (Co-author)
- 1 Patent (Author), 1 Patent (Co-author)
🔬 Research Projects:
- Participated in 12 research projects (Principal Investigator in 5 projects)

🏅 Awards & Honors:

Multiple Awards & Distinctions for outstanding scientific achievements in heat transfer, thermodynamics, and renewable energy research

Publication Top Notes:

Laser Surface Texturing for the Intensification of Boiling Heat Transfer in a Minichannel

Contact temperature measurement using selected thermoelements for studies of heat transfer during fluid flow in minichannels – metrology investigations

Using the Monte Carlo method for estimation of temperature uncertainty due to infrared thermography and K-type thermoelement measurements

Homotopy Perturbation Method with Trefftz Functions and Simcenter STAR-CCM+ Used for the Analysis of Flow Boiling Heat Transfer

Using Quality Function Deployment to Assess the Efficiency of Mini-Channel Heat Exchangers

Investigations of Flow Boiling in Mini-Channels: Heat Transfer Calculations with Temperature Uncertainty Analyses

Mr. Olamilekan Shobayo, Sheffield Hallam University, United Kingdom

Olamilekan Shobayo (AFHEA) is a dedicated lecturer at Sheffield Hallam University, where he imparts advanced knowledge in data management, healthcare data analytics, and big data technologies. With over seven years of teaching experience, Dr. Shobayo specializes in machine learning, artificial intelligence, and data analytics. His expertise encompasses R programming, SQL, Python, Tableau, HDFS, Hive, and MATLAB. At Sheffield Hallam University, he teaches modules on data management, healthcare knowledge, and project management, while also supervising master’s projects focused on big data analytics in healthcare. Previously, he served as a Lecturer II at Covenant University in Nigeria, where he taught Python programming, Hadoop framework, and various networking modules. Dr. Shobayo has also contributed to The Brilliant Club as a PhD tutor, designing and delivering courses to inspire young students in STEM subjects. His robust academic background and practical teaching approach make him a valuable asset in advancing the field of data science and analytics.

Suitability for Best Researcher Award

Olamilekan Shobayo’s extensive research experience, including high-impact publications, innovative projects, and substantial teaching contributions, makes him a strong candidate for the Best Researcher Award. His work in data analytics, AI, and machine learning across various domains, combined with his leadership and teaching roles, underscores his suitability for this accolade.

🏢 Work Experience

Sheffield Hallam University, Sheffield, UK
Lecturer
Jan 2022 – Present

📚 Advanced Data Management Project: Teaching data warehouse building, ETL/ELT processes, big data analysis using Hadoop, Spark, Hive, HDFS, and R programming.

🏥 Health Care Knowledge and Data Management: Analyzing healthcare data with R, using Noe4j graph databases, and preparing data mining workflows.

💻 Introduction to Database and Big Data (IDBBD): Creating ERDs, writing SQL queries, implementing security features, and using MS Azure for database labs.

📈 Study Skills and Project Management (SSPM): Teaching study skills and project management with MS Project and JIRA.

🧠 Research Skills and Dissertation (RS&D): Guiding students in computing research and providing feedback.

📊 Master’s Project Supervision: Guiding big data analytics projects related to healthcare.

🏫 Foundation Year Databases Module: Teaching foundational database concepts.

🎓 Academic Adviser: Advising MSc computing students.