Sevcan Aytac | Sustainability Strategies | Best Researcher Award

Assoc. Prof. Dr. Sevcan Aytac | Sustainability Strategies | Best Researcher Award

Assoc. Prof. Dr. Sevcan Aytac | Sustainability Strategies | Best Researcher Award | Academician | Fırat University | Turkey

Assoc. Prof. Dr. Sevcan Aytac is an accomplished academic who currently holds a faculty position in the Electronics Technologies Programme at the Elazığ Organized Industrial Zone Vocational School of Fırat University, Turkey. She completed her doctoral studies in Electrical and Electronics Engineering (Ph.D.) and holds earlier degrees in the same or related engineering fields. Over the course of her career she has served in teaching and research roles, led curriculum development in her department, and taken on administrative responsibilities such as chairing the Social Activity Commission at the university. Dr. Aytac’s research interests include sustainable development, artificial intelligence applications in engineering, signal processing, and machine learning methods for quality assessment and decision-support in industrial systems. Her research skills span advanced programming (MATLAB, Python), wavelet transform and pattern-recognition algorithms (e.g., Naive Bayes, K-Means), classifier design, dimensionality-reduction techniques (such as LPP, LBP), and data analytics applied in engineering contexts. Her achievements include peer-reviewed publications in reputable engineering journals, citation metrics reflecting emerging impact, and her appointment to the doçent (associate professor) rank at Fırat University as confirmed by the university board. Dr. Aytac also engages in professional service — for example, as chair of her faculty’s committee on social activities and as mentor for student projects — reflecting her commitment to academic community involvement. Looking ahead, she is building international collaborations and expanding her research portfolio to integrate AI and sustainable engineering systems. In summary, Dr. Sevcan Aytac is a dedicated scholar-educator whose engineering expertise, research output, and leadership roles position her as a rising contributor to the field of applied engineering intelligence.

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Featured Publications

  1. Aytaç Korkmaz, S. (2018). Comparison of performance on the different classifiers of the Locating Protected Projection (LPP) dimension reduction method based LBP features. Sakarya University Journal of Science, 22(4), 1101-1108. (Citations: not available)

  2. Aytaç, S. (2025). DALGACIK dönüşümü tabanlı Naïve Bayes sınıflandırıcı ile Türkiye’nin tamamını içeren bölgelerdeki linyit kömürünün kalite tespiti. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 28(1), 403-413. (Citations: not available)

  3. Aytaç, S. (2020). Grade level of lignite coal datasets in the different areas with decision tree, random forest, and discriminant analysis methods. Applied Artificial Intelligence, 34(11), 755-776. (Citations: not provided)

Chuangwei Liu | Sustainable development | Best Researcher Award

Prof. Dr. Chuangwei Liu  – Sustainable development  –  Best Researcher Award

Alignment with Award Category

Dr. Chuangwei Liu’s groundbreaking research in sustainable catalysis, computational materials science, and machine learning-based modeling aligns perfectly with awards recognizing excellence in Sustainable Development, Computational Chemistry, and Advanced Materials Research. His innovative approach contributes directly to green energy solutions, carbon reduction, and industrial efficiency, making him a prime candidate for such accolades.

 

Chinese Academy of Sciences | China

Profile

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🎓Early Academic Pursuits 

Education and Training

Chuangwei Liu’s academic journey began at Northeastern University, China, where he earned a Bachelor of Science in Metallurgical Engineering (2008–2012). His undergraduate studies laid a strong foundation in materials science, thermodynamics, and process engineering, igniting his passion for advanced materials research.

💼Professional Endeavors 

Academic Positions

Dr. Liu’s career has spanned multiple countries and industries, reflecting his versatility and global impact. Mechanical Engineer, Helios Oil and Gas Equipment, Houston, USA (2014–2016): Before his Ph.D., he worked on advanced mechanical systems, gaining hands-on experience in industrial applications of materials science. Postdoctoral Fellow, Technical University of Denmark (2019–2022): He further refined his expertise in computational materials science, focusing on catalyst design and sustainable energy applications. Associate Professor, Northeastern University, Shenyang, China (2022–2023): Returning to China, he took on a faculty role, mentoring students and leading cutting-edge research in computational chemistry. Professor, Chinese Academy of Sciences, Dalian, China (2023–Present): Currently, he is a full professor at one of China’s premier research institutions, where he continues to push the boundaries of catalyst design and materials theory.

📚Contributions and Research Focus on Sustainable development

Dr. Liu’s research centers on multi-scale quantum mechanics simulations to understand reaction mechanisms at an atomic level and rationally design advanced materials for industrial catalysts. His key contributions include: Development of materials theory for designing new catalysts, which has led to improved industrial processes and energy-efficient solutions. Accelerated discovery of novel materials through computational modeling, bridging theory and real-world applications. Computational method development using machine learning, enabling predictive modeling for materials science.

🏆Accolades and Recognition 

Dr. Liu’s work has been widely recognized through prestigious awards: JACS Young Investigators 2020 by the Journal of The American Chemical Society – A prestigious recognition of outstanding contributions to chemistry. Most Popular Article in 2019 for Journal of Materials Chemistry A, awarded by the Royal Society of Chemistry. Postgraduate Publications Award (PPA), Monash University (2019) – Recognizing his groundbreaking Ph.D. research.

🌍 Impact and Influence 

Community Impact

As a researcher and educator, Dr. Liu has significantly influenced both academia and industry: Teaching & Mentorship: He has guided numerous undergraduate and graduate students, teaching courses in Physical Chemistry and Computational Materials Science at Northeastern University. Research Leadership: As the Principal Investigator (PI) of major research projects, he has secured substantial funding, including:

    • China’s National Key R&D Programme (2024–2026): A$ 680,000
    • Start-up Funding of Northeastern University (2023–2025): A$ 170,000
    • Fundamental Research Funds for Central Universities (2023–2024): A$ 21,000

 

🔮Legacy and Future Contributions 

Dr. Liu’s pioneering research is set to leave a lasting impact in the fields of sustainable materials science and computational chemistry. His future contributions are expected to: Advance machine learning-driven catalyst design, optimizing reaction pathways for cleaner energy production. Enhance global collaboration, bringing together researchers from China, Europe, and the U.S. Train the next generation of scientists, ensuring continuity in cutting-edge materials research.

Conclusion

Dr. Chuangwei Liu exemplifies the fusion of academic excellence, scientific innovation, and industrial impact. With a distinguished career spanning multiple disciplines and institutions, his research in computational chemistry and sustainable catalysis continues to shape the future of energy and materials science. As a professor, mentor, and thought leader, he remains dedicated to advancing knowledge, fostering innovation, and contributing to a more sustainable world.

📚Publications

2D, Metal‐Free Electrocatalysts for the Nitrogen Reduction Reaction

Authors:  Chuangwei Liu; Ang Tian; Qinye Li; Tianyi Wang; Gaowu Qin; Song Li; Chenghua Sun

Journals: Advanced Functional Materials

Knowledge‐Driven Design and Lab‐Based Evaluation of B‐doped TiO2 Photocatalysts for Ammonia Synthesis

Authors: Chuangwei Liu; Derek Hao; Jin Ye; Sheng Ye; Fengling Zhou; Hongbo Xie; Gaowu Qin; Jiating Xu; Jian Liu; Song Li et al.

Journals: Advanced Energy Materials

Bulk-immiscible CuAg alloy nanorods prepared by phase transition from oxides for electrochemical CO2 reduction

Authors:  Yihong Yu; Di Wang; Yimeng Hong; Teng Zhang; Chuangwei Liu; Jing Chen; Gaowu Qin; Song Li

Journals: Chemical Communications

Oxygen-regulated carbon quantum dots as an efficient metal-free electrocatalyst for nitrogen reduction

Authors:  Yaqian Han; Xiaoteng Ding; Jingrui Han; Yanfeng Fang; Zhaoyong Jin; Wenhan Kong; Chuangwei Liu

Journals: Nanoscale