Krzysztof Wislocki | Engineering | Best Researcher Award

Prof Dr. Krzysztof Wislocki | Engineering | Best Researcher Award

Professor, Poznan University of Technology, Poland

👨‍🏫 Krzysztof Wisłocki, born in 1955, is a distinguished professor at Poznan University of Technology, specializing in combustion engines and thermal processes. With over four decades of academic and research experience, he has made significant contributions to engineering, both as a scholar and mentor. Prof. Wisłocki holds leadership positions in national and international research institutions and remains deeply involved in both education and scientific innovation.

Publication Profile

ORCID

Education

🎓 Prof. Wisłocki earned his Master of Engineering degree in 1979 from Poznan University of Technology. He obtained his Doctor of Engineering in 1987, followed by a Doctor of Science title in 2005. In 2014, he was awarded the prestigious title of full professor.

Experience

💼 Prof. Wisłocki is currently employed at the Institute of Powertrains and Aviation, Faculty of Civil and Transport Engineering, Poznan University of Technology. He previously held positions at various international institutions, including RWTH Aachen and FEV-Institute. His extensive teaching career spans decades, having lectured in both German and English on subjects such as supercharging, combustion, and scientific methodology.

Research Focus

🔬 His research expertise covers a wide range of topics related to thermal processes in combustion engines, turbocharging, direct injection in CI engines, and optical studies of combustion. He is also passionate about the history of thermal machines and engines.

Awards and Honors

🏅 Prof. Wisłocki has received numerous accolades, including the Medal of the Commission of National Education and the Gold Cross of Merit from the Republic of Poland. He is a prominent member of the Polish Scientific Society of Combustion Engines and currently serves as president of the Council of the National Museum of Agriculture and Food Industry.

Publications (Top Notes)

Analysis of Energy Transfer in the Ignition System for High-Speed Combustion Engines

Optimization of Two-Stage Combustion System Fueled by Lean-Burn Compressed Natural Gas Mixtures for Light-Duty Vehicle Engines

Experimental Study on Ignitability of Lean CNG/Air Mixture in the Multi-Stage Cascade Engine Combustion System

Optimization of Two-Stage Combustion System Fueled by Lean-Burn Compressed Natural Gas Mixtures for Light-Duty Vehicle Engines

 

Jinwei Bu | Engineering | Best Researcher Award

Dr. Jinwei Bu | Engineering | Best Researcher Award

Master Supervisor, Kunming University of Science and Technology, China

👨‍🏫  Dr. Jinwei Bu, a dedicated researcher and member of IEEE, is currently a Master Supervisor at the Faculty of Land Resource Engineering, Kunming University of Science and Technology, Kunming, China. With a robust academic and research background, Dr. Bu has significantly contributed to the fields of geodesy and surveying engineering through his extensive publications and active involvement in the scientific community.

Profile

Google Scholar

 

Strengths for the Award

  1. Strong Academic Background: Jinwei Bu has a solid educational foundation in surveying and mapping engineering, geodesy, and surveying engineering, which are crucial for research impacting communities through environmental and spatial informatics.
  2. Extensive Research Experience: With over 50 refereed journal articles authored or coauthored, Dr. Bu has made significant contributions to his field. His publications indicate a robust research portfolio.
  3. International Collaboration: His experience as a Visiting Ph.D. Student at the Universitat Politècnica de Catalunya (UPC) in Spain highlights his international research exposure and collaboration.
  4. Leadership in Academia: Currently serving as a Master Supervisor at Kunming University of Science and Technology, Dr. Bu is in a position to mentor the next generation of researchers, amplifying his impact on the community.
  5. Reviewer for Prestigious Journals: Serving as a reviewer for over 10 international journals underscores his expertise and recognition in the academic community.
  6. Research Interests with Community Impact: His focus on Global Navigation Satellite Systems (GNSS) reflectometry, atmospheric remote sensing, precision positioning, and machine/deep learning has direct applications in improving navigation, environmental monitoring, and disaster management, all of which have significant community impacts.

Areas for Improvement

  1. Direct Community Engagement: While his research has potential community impact, there could be more direct evidence of engagement with community projects or initiatives that translate his research into tangible community benefits.
  2. Interdisciplinary Collaborations: Increasing collaborations with experts from other fields such as public health, urban planning, and environmental science could broaden the application of his research and enhance its community impact.
  3. Public Outreach and Education: Engaging in more public outreach, workshops, and educational programs to disseminate his research findings to a broader audience, including policymakers and community leaders, could increase the practical application and visibility of his work.

🎓 Education:

Dr. Jinwei Bu received his B.S. degree in Surveying and Mapping Engineering (2016) and his M.S. degree in Geodesy and Surveying Engineering (2018) from Kunming University of Science and Technology, Kunming, China. He earned his Ph.D. degree in Geodesy and Surveying Engineering from the School of Environmental Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, China, in 2022.

💼 Experience:

Dr. Bu has held various academic positions, including a Visiting Ph.D. Student role at the Department of Signal Theory and Communications, Universitat Politècnica de Catalunya (UPC), Barcelona, Spain, from November 2021 to November 2022. Currently, he is serving as a Master Supervisor with the Faculty of Land Resource Engineering at Kunming University of Science and Technology. He has authored or coauthored over 50 refereed journal articles and serves as a reviewer for more than 10 international journals.

🔬 Research Interests:

Dr. Jinwei Bu’s research interests include Global Navigation Satellite Systems (GNSS) reflectometry, GNSS atmospheric remote sensing, GNSS precision positioning, and the application of machine/deep learning techniques in these areas. He is particularly focused on developing and testing models for sea surface wind speed estimation with GNSS-R delay Doppler maps and delay waveforms.

🏆 Awards:

Dr. Bu’s excellence in research and contributions to the field have earned him recognition and accolades within the scientific community, underscoring his commitment and impact in geodesy and surveying engineering.

Publications

  1. An indoor Wi-Fi localization algorithm using ranging model constructed with transformed RSSI and BP neural network – IEEE Transactions on Communications, 2022. Cited by: 29
    • Prompt: An innovative approach to indoor Wi-Fi localization using RSSI and neural networks.
  2. Developing and testing models for sea surface wind speed estimation with GNSS-R delay Doppler maps and delay waveforms – Remote Sensing, 2020. Cited by: 25
    • Prompt: Breakthrough in sea surface wind speed estimation using GNSS-R technology.
  3. Multi-classification of UWB signal propagation channels based on one-dimensional wavelet packet analysis and CNN – IEEE Transactions on Vehicular Technology, 2022. Cited by: 23
    • Prompt: Cutting-edge multi-classification of UWB signals utilizing wavelet analysis and CNN.
  4. Performance assessment of positioning based on multi-frequency multi-GNSS observations: signal quality, PPP, and baseline solution – IEEE Access, 2020. Cited by: 20
    • Prompt: Comprehensive evaluation of multi-GNSS positioning performance and solutions.
  5. Sea surface rainfall detection and intensity retrieval based on GNSS-reflectometry data from the CYGNSS mission – Publication details pending.
    • Prompt: Novel methodology for sea surface rainfall detection and intensity estimation using GNSS-reflectometry.