Krzysztof Wislocki | Engineering | Best Researcher Award

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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

 

Najmeh Zamani | Engineering | Best Researcher Award

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Dr. Najmeh Zamani | Engineering | Best Researcher Award 

Postdoc researcher, Concordia university, Canada

🌟 Najmeh Zamani (b. 29th July 1989) is a dedicated researcher in the field of electrical and computer engineering. She is currently a Postdoctoral Researcher at Concordia University, Canada, with a strong academic background from Isfahan University of Technology, Iran. Najmeh’s expertise spans control systems, nonlinear multi-agent systems, and deep learning applications. Married and proficient in both Persian and English, she is recognized for her significant contributions to her field.

 

Profile

Google Scholar

 

Education

🎓 Najmeh Zamani has an impressive academic record, starting with a Bachelor’s degree in Electrical Engineering from Isfahan University (2007-2011), where she ranked 1st. She continued at the same university for her Master’s degree (2011-2014), ranking 3rd, and then pursued a Ph.D. in Electrical Engineering at Isfahan University of Technology (2015-2021), achieving a GPA of 19/20. Her Ph.D. dissertation focused on the “Consensus of Nonlinear Multi-Agent Systems with Time-Delays and Actuator Faults.” Najmeh also completed postdoctoral research at Concordia University, Canada, in 2023.

Experience

💼 Najmeh Zamani has a robust professional background, including roles as a researcher at Isfahan University of Technology, an R&D researcher at Control Farayand Pasargad Company, and an electronic designer at Sirco Company. Her experience spans industrial projects like COVID-19 pandemic prediction models and power electronic boost converter design. Najmeh has also served as a visiting professor and teaching assistant in various institutions, sharing her expertise in control systems and electronics.

Research Interests

🔬 Najmeh Zamani‘s research interests are diverse and cutting-edge. They include distributed control systems and multi-agent systems, adaptive control of nonlinear systems with time-delays and faults, fault estimation and control theory, and control of distributed applications like mobile sensors. She is also passionate about deep learning, probabilistic graphical models (PGM), data-driven control, reinforcement learning, and data analysis.

Awards

🏆 Najmeh Zamani has received several accolades throughout her academic journey. She was ranked 1st among all graduated students in Electrical and Computer Engineering at Isfahan University in 2011. She was also recognized as an outstanding B.Sc. and M.Sc. student from 2007 to 2014. Notably, she received admission offers for both her graduate and doctoral studies at Isfahan University of Technology without needing to take the National Entrance Exam for Graduate Schools.

Publications

N. Zamani, M. Ataei, M. Niroomand, “Analysis and Control of Chaotic Behavior in Boost Converter by Ramp Compensation Based on Lyapunov Exponents Assignment: Theoretical and Experimental Investigation”, Chaos, Solitons and Fractals, 2015, cited by 20 articles. Link.

N. Zamani, J. Askari, M. Kamali, A. Aghdam, “Distributed adaptive consensus tracking control for non-linear multi-agent systems with time-varying delays”, IET Control Theory & Applications, 2020, cited by 15 articles. Link.

H. Kalantari, M. Mojiri, S. Dubljevic, N. Zamani, “Fast l1-MPC Based on Sensitivity Analysis Strategy”, IET Control Theory & Applications, 2020, cited by 10 articles. Link.

N. Zamani, J. Askari, M. Kamali, H. Kalantari, A. Aghdam, “Adaptive Tracking Control for Nonlinear Multi-Agent Systems with Stuck Failures and Unknown Control Directions”, Journal of the Franklin Institute, 2024. Link.

H. Kalantari, M. Mojiri, Najmeh Zamani, “Urban Traffic Control By Fast l1 Model Predictive Control Based on Sensitivity Analysis”, IET Control Theory & Applications, 2024. Link.