Mr. Nurettin Abut | Energy Control | Best Scholar Award

Posted on by Academic achievements

Mr. Nurettin Abut | Energy Control | Best Scholar Award

Mr. Nurettin Abut | Energy Control – PhD at Kocaeli University, Turkey

Prof. Dr. Nurettin ABUT is a distinguished academic in the field of Electrical and Electronics Engineering, renowned for his lifelong dedication to power electronics, electric drives, and intelligent control systems. With over three decades of academic and research experience, he has played a key role in advancing electric vehicle technologies and modern transportation systems. He is a full professor at Kocaeli University and has significantly contributed to both national and international research communities through his innovative work, publications, and mentorship. A pioneer in integrating fuzzy logic with electric motor control, Prof. Abut’s work is driven by the pursuit of sustainable, intelligent energy solutions.

Profile:

Orcid | Google Scholar

Education:

Prof. Abut earned all his academic degrees – B.Sc., M.Sc., and Ph.D. – in Electrical Engineering from Yildiz Technical University, one of Turkey’s premier institutions. His educational foundation laid the groundwork for a career that bridges both theoretical rigor and practical engineering applications. His doctoral research reflected early interests in system control and motor design, which he further advanced through international collaboration and hands-on experimentation.

Experience:

Prof. Abut has built a formidable academic career marked by progressive roles in research and leadership. He began as an Assistant Professor in 1988 and later served as the Research Manager of the Electric Machines Drive and Transportation Systems Research Centre. In 2004, he became a full professor at Kocaeli University. His experience also includes a formative research period in Germany focusing on MAGLEV systems, which broadened his international perspective and solidified his technical expertise in electromagnetic levitation and advanced control devices. His career reflects a balanced blend of teaching, research, and innovation, fostering interdisciplinary research environments.

Research Interests:

Prof. Abut’s primary research interests include electric drives, power electronics in transportation systems, fuzzy logic controllers, modeling of power converters, and smart motor control systems such as PM motors, switched reluctance motors (SR), and linear motors. He is particularly known for integrating intelligent algorithms such as fuzzy control and neural networks with motor drive systems to enhance performance and energy efficiency. Additionally, his work on simulation tools and control devices has supported innovation in electric vehicle propulsion and renewable energy systems.

Awards:

While specific named awards are not listed in his profile, Prof. Abut’s nomination for the Best Researcher Award reflects his deep and consistent contributions to engineering research, mentoring, and scientific advancement. His leadership in electric machine systems and control innovations, combined with a strong record of applied research, makes him a deserving candidate for such recognition.

Publications:

Prof. Abut has authored numerous technical papers across conferences and journals, with several gaining recognition for their practical applications and originality. Below are selected publications highlighting his impact:

  • 📘 “Switched reluctance motor drive by using fuzzy controller” (IECON’97, 1997) – Cited by 21 articles.
  • 📗 “Kharitonov’s theorem: A good starting point for robust control” (Int. Journal of Electrical Engineering & Education, 2021) – Cited by 13 articles.
  • 🤖 “Hybrid spiral STC-hedge algebras model in knowledge reasonings for robot coverage path planning” (Applied Sciences, 2019) – Cited by 13 articles.
  • ⚙️ “DC motor control by using computer based fuzzy technique” (APEC’99, 1999) – Cited by 13 articles.
  • 🚆 “Fuzzy control application of SR motor drive for transportation systems” (Conference on Intelligent Transportation Systems, 1997) – Cited by 11 articles.
  • 💡 “The Role of Energy Management in Microgrids With Hybrid Power Generation System” (Bitlis Eren University Journal of Science and Technology, 2015) – Cited by 8 articles.
  • 🔧 “An efficient approach to modelling and analysis of power electronic circuit” (APEC’98, 1998) – Cited by 9 articles.

Conclusion:

Prof. Dr. Nurettin Abut’s comprehensive expertise, research leadership, and practical innovations position him as a strong nominee for the Best Researcher Award. His dedication to developing sustainable energy and transportation solutions, along with his deep integration of advanced control methods in power electronics, demonstrate an impactful academic career that bridges research and real-world application. His work continues to inspire young researchers and contribute meaningfully to the future of intelligent transportation and energy systems.

 

 

Roda Bounaceur | Energy | Best Researcher Award

Posted on by Academic achievements

Mr. Roda Bounaceur | Energy | Best Researcher Award

Mr. Roda Bounaceur | Energy – Reactions and Process Engineering Laboratory (LRGP) at France


Roda Bounaceur is a highly accomplished Research Engineer 1st Class at the French National Centre for Scientific Research (CNRS), currently affiliated with the Laboratory of Reactions and Process Engineering (LRGP UMR 7274) at the University of Lorraine. With over two decades of expertise in process engineering, kinetic modeling, and combustion chemistry, he has made enduring contributions to both academic and industrial advancements. His career is distinguished by a rare blend of deep theoretical knowledge and impactful industrial collaboration, particularly in the modeling of complex chemical reactions, pollutant reduction, and thermal stability of hydrocarbons.

Profile Verified 

ORCID | Scopus

Education

Dr. Bounaceur holds a PhD in Process Engineering and Chemical Engineering from the Institut National Polytechnique de Lorraine (INPL), awarded in 2001 for his groundbreaking work on the kinetic modeling of petroleum thermal evolution in oil reservoirs. His doctoral research was conducted in partnership with Total Exploration Production and earned high academic distinction, receiving the “mention très honorable avec les félicitations du jury.” He also holds a DEA (equivalent to MSc) in Process Engineering from INPL, with a focus on thermodynamic property estimation software, and an engineering degree in Chemical Engineering from ENSIC Nancy, completed in 1993.

Professional Experience

Since 2005, Dr. Bounaceur has served as a Senior Research Engineer at CNRS, leading multiple high-impact projects at LRGP. His responsibilities include advanced scientific computing, artificial intelligence integration into chemical modeling, and simulation of industrial-scale reactors. Previously, between 2001 and 2004, he worked as a contract research engineer at PROGEPI, where he spearheaded R&D projects for industrial partners, focusing on pyrolysis, hydrocarbon oxidation, and computational modeling. His engineering insights are routinely applied to solve real-world challenges in the chemical industry.

Research Interests

Dr. Bounaceur’s research revolves around combustion kinetics, pollutant formation, and the optimization of thermal processes. He is particularly known for his detailed kinetic modeling of biomass combustion, pyrolysis of high-pressure fluids, and the simulation of pollutant emissions in domestic heating systems. His interests extend to the development of computational tools for reaction modeling, as well as the implementation of artificial intelligence in chemical process simulation. His interdisciplinary expertise bridges the gap between laboratory research and industrial application.

Awards and Recognition

While specific awards are not listed, Dr. Bounaceur’s academic credentials, peer-reviewed contributions, and sustained leadership in collaborative research with institutions such as TOTAL, CSTB, and IFP Energies Nouvelles underscore his reputation as a trusted scientific authority. His work has influenced national research priorities in sustainable energy and environmental protection.

Selected Publications 📚

Dr. Bounaceur has published over 90 peer-reviewed journal articles, with a notable h-index of 30, reflecting the scientific impact of his work. Below are selected highlights:

  • 🔥 “Detailed kinetic modeling of biomass combustion in domestic appliances” (2019, Energy & Fuels) – Cited by 87 articles, this work aids emission reduction strategies in residential heating.
  • ⚛️ “Pyrolysis of alkyl-cyclanes under high-pressure/high-temperature conditions” (2016, Journal of Analytical and Applied Pyrolysis) – Cited by 64 articles; vital for petroleum refining and fuel stability.
  • 🌍 “Modeling pollutant formation during wood combustion: A kinetic approach” (2015, Combustion and Flame) – Cited by 102 articles; supports environmental policy development.
  • 🛢️ “Maximum carbon number for GC analysis of heavy hydrocarbons” (2013, Fuel) – Cited by 58 articles; improved oil analysis standards.
  • 🔬 “Kinetic modeling of hydrocarbon oxidation in industrial reactors” (2012, Industrial & Engineering Chemistry Research) – Cited by 70 articles; supports reactor optimization.
  • 💨 “1D/3D modeling of combustion and pollutants in exhaust systems” (2009, Energy Conversion and Management) – Cited by 93 articles; improves vehicle emission control.
  • 🪐 “Photochemistry of hot exoplanets: modeling and experiments” (2012, Astrophysical Journal) – Cited by 120 articles; intersects astrochemistry and atmospheric science.

Conclusion

Dr. Roda Bounaceur is a leading figure in process and chemical reaction engineering, whose research has significantly advanced the understanding of complex thermal and chemical systems. Through his collaborations with industrial giants, mentorship of doctoral candidates, and prolific academic output, he embodies the highest standards of scientific excellence and practical impact. His contributions continue to shape the future of clean energy, advanced combustion systems, and computational modeling in chemical engineering.