Mehmet Bilgili | Mechanical Engineering | Best Researcher Award

Prof. Dr. Mehmet Bilgili | Mechanical Engineering | Best Researcher Award

Professor at Cukurova University, Turkey

Prof. Mehmet Bilgili is a distinguished academic in mechanical engineering, currently serving at Cukurova University. With decades of experience in renewable energy, thermodynamics, and fluid mechanics, his work bridges traditional engineering with cutting-edge technologies like artificial intelligence and machine learning. He has contributed significantly to global scientific literature, particularly in wind and solar energy forecasting, and is recognized for his role in sustainable technology development. His interdisciplinary approach and leadership in both academic and research settings have earned him widespread respect. Prof. Bilgili is dedicated to educating future engineers while driving innovation in energy systems and environmental technologies.

Publication Profile

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Academic Background

Prof. Mehmet Bilgili earned all his academic degrees from Cukurova University in Turkey. He completed his undergraduate studies in Mechanical Engineering in 1992, followed by a postgraduate degree in 2003, and a Ph.D. in 2007. His doctoral research focused on predicting wind speed and power potential using artificial neural networks, while his postgraduate thesis explored wind energy potential in various Turkish locations. His education reflects a strong foundation in engineering fundamentals, enriched with advanced data-driven research methods. Prof. Bilgili has continuously applied and expanded this knowledge in his teaching, research, and scholarly contributions to the field of energy systems.

Professional Background

Prof. Bilgili has held academic positions at Cukurova University for over two decades, progressing from lecturer to full professor. He served in various roles at the university’s Ceyhan Engineering Faculty and Adana Vocational School, leading departments and shaping academic programs. His experience includes teaching core mechanical engineering subjects and supervising both undergraduate and postgraduate research. He has also contributed administratively by supporting faculty development and curriculum design. Known for integrating theory with practice, Prof. Bilgili consistently brings real-world applications into his teaching and has guided numerous engineering projects, especially in energy systems and thermal sciences.

Awards and Honors

Although specific individual awards are not explicitly listed, Prof. Mehmet Bilgili’s continuous publication in top-tier SCI journals, contributions to international conferences, and involvement in books with major publishers like SpringerNature indicate high recognition within his field. His promotion to full professor and repeated collaborations with fellow experts suggest institutional and peer acknowledgment of his impact. His recent studies on climate forecasting and machine learning models in energy systems also reflect cutting-edge innovation, often associated with research excellence. Given this academic trajectory, he is a strong candidate for honors such as the Best Researcher Award.

Research Focus

Prof. Mehmet Bilgili’s research focuses on renewable energy systems, with specialization in wind and solar power. He applies artificial intelligence and machine learning methods, such as neural networks and deep learning models (LSTM, CNN, GRU), to forecast climate patterns, optimize power generation, and improve system performance. His work spans across heat transfer, fluid mechanics, thermodynamics, HVAC, and environmental sustainability. Recently, he has explored sea currents, temperature forecasting, and hybrid energy systems. Prof. Bilgili is driven by the goal of achieving cleaner, smarter, and more efficient energy systems for the future, merging engineering principles with computational innovation.

Publication Top Notes

📘Offshore wind power development in Europe and its comparison with onshore counterpart
Year: 2011 | Cited by: 631 | 🌊💨⚡🌍

📘 Application of artificial neural networks for the wind speed prediction of target station using reference stations data
Year: 2007 | Cited by: 386 | 🤖💨📈🌐

📘 An overview of renewable electric power capacity and progress in new technologies in the world
Year: 2015 | Cited by: 297 | 🌱🔋🌎📊

📘 Comparison of linear regression and artificial neural network model of a diesel engine fueled with biodiesel-   alcohol mixtures
Year: 2016 | Cited by: 198 | 🚗⚗️🧠📉

Conclusion

Prof. Mehmet Bilgili is an outstanding candidate for the Best Researcher Award, with over two decades of academic service and a distinguished research career in mechanical engineering and renewable energy systems. His work spans critical areas such as wind and solar energy, thermodynamics, and the integration of artificial intelligence in energy modeling—fields of immense global relevance. With a prolific publication record in SCI-expanded journals, authorship of influential books, and regular participation in international conferences, Prof. Bilgili demonstrates a consistent commitment to scientific advancement and knowledge dissemination. His interdisciplinary research, combined with impactful teaching and mentoring, firmly establishes him as a leading figure in energy sustainability and engineering innovation.

 

 

Adib Mahmoodi Nasrabadi | Mechanical Engineering | Best Researcher Award

Mr. Adib Mahmoodi Nasrabadi | Mechanical Engineering | Best Researcher Award

Mr. Adib Mahmoodi Nasrabadi,Florida Atlantic University, United States

Dr. Adib Mahmoodi Nasrabadi is a Mechanical Engineering Ph.D. graduate from Florida Atlantic University (2023). He holds a Master’s degree in Mechanical Engineering from Iran University of Science and Technology (2019-2022), and a Bachelor’s degree from the University of Kurdistan (2009-2013). His research focuses on thermodynamics, renewable energy, and optimization, with expertise in CFD, micro and nanofluids, and thermal management. Adib has published several papers in prestigious journals, including the International Journal of Hydrogen Energy. He is proficient in various software tools like ANSYS-Fluent and Solidworks and programming languages like MATLAB and Python. 🛠️📊📚

 

Publication Profile

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🎓 Education

Adib Mahmoodi Nasrabadi holds a Ph.D. in Mechanical Engineering from Florida Atlantic University (2023), an MSc in Mechanical Engineering from Iran University of Science and Technology (2019-2022, GPA: 3.87/4), and a BSc in Mechanical Engineering from the University of Kurdistan (2009-2013, GPA: 3/4).

🏅 Honors and Awards

Adib has achieved significant academic honors, including top ranks in national exams and competitions.

 

Research Focus

Adib Mahmoodi Nasrabadi is a mechanical engineer specializing in thermodynamics, renewable energy, and thermal management. His research includes optimization using neural networks and genetic algorithms, focusing on micro and nano fluids and computational fluid dynamics (CFD). Adib’s work is characterized by a strong emphasis on energy systems, particularly microfluidic microbial fuel cells and renewable-based power generation. His expertise extends to software tools like ANSYS-Fluent and Solidworks, and programming languages such as MATLAB and Python. Adib’s contributions are reflected in numerous publications on energy analysis and optimization. 🌍🔋🧪💻📊.

Publication Top Notes

  • Design, modeling and optimization of a renewable-based system for power generation and hydrogen production – JR Mehrenjani, A Gharehghani, AM Nasrabadi, M Moghimi. International Journal of Hydrogen Energy 47 (31), 14225-14242. Cited by: 51 (2022) 🌍🔋
  • Energy analysis and optimization of a biosensor-based microfluidic microbial fuel cell using both genetic algorithm and neural network PSO – AM Nasrabadi, M Moghimi. International Journal of Hydrogen Energy 47 (7), 4854-4867. Cited by: 29 (2022) 🧪🤖
  • Techno-economic analysis and optimization of a proposed solar-wind-driven multigeneration system; case study of Iran – AM Nasrabadi, M Korpeh. International Journal of Hydrogen Energy 48 (36), 13343-13361. Cited by: 26 (2023) ☀️🌬️
  • Deep learning optimization of a combined CCHP and greenhouse for CO2 capturing; case study of Tehran – AM Nasrabadi, O Malaie, M Moghimi, S Sadeghi, SM Hosseinalipour. Energy Conversion and Management 267, 115946. Cited by: 25 (2022) 🌱🏡
  • Experimental investigation of factors affecting the micro microbial fuel cells’ main outputs – AM Nasrabadi, M Moghimi. Journal of Power Sources 564, 232871. Cited by: 10 (2023) 🧫🔋
  • 4E analysis of stacked microbial fuel cell as a component in power plants for power generation and water treatment; with a cost-benefit perspective – AM Nasrabadi, M Moghimi. Sustainable Energy Technologies and Assessments 53, 102742. Cited by: 9 (2022) 🌊⚡
  • Full analysis and deep learning optimization of a sustainable and eco-friendly power plant to generate green hydrogen and electricity; a zero-carbon approach – P Asadbagi, AM Nasrabadi, CM Hall. Process Safety and Environmental Protection. 2024 🌿🔋