Ramazan Katırcı

• Quantum Machine Learning, Transformer Models, Agent AI, Machine Learning Algorithms and Models, Physical Chemistry, Inorganic Chemistry, Analytical Chemistry, Electrochemistry, Materials Science, Corrosion, Thin Film Coatings, Photovoltaic Materials, Molecular modeling, Reaction mechanisms, Statistical analysis using Gaussian03, Spartan02, Matlab, and Minitab, Management of more than 10 projects from conception to completion, supported by T
• BİTAK, the Ministry of Industry, and KOSGEB., Over 50 international articles, presentations, and patents in SCI/SCI-Expanded indexes. Experience in reviewing and providing feedback for peer-reviewed journals., Expert-level operation and interpretation of results from analytical instruments such as XRD, SEM-EDX, Potentiostat/Galvanostat, HPLC, GC, UV-Vis, FT-IR, AAS, XRF., University-level teaching, leading research teams, and addressing knowledge gaps in the field.

2025

• Özçeşmeci, M., Katırcı, R., Yalçın, M. S., & Özdemir, S. (2025). Water-Soluble NNN-Type Pincer Ligand and Its Platinum, Copper, and Cobalt Complexes: Synthesis, Characterization, Biological Activity, and Computational Docking Study. ACS Omega.
• Bas, S., Aasim, M., Gumus, N. E., Katırcı, R., Ali, S. A., & Karatas, M. (2025). Genetic algorithms assisted machine learning algorithms to optimize nano-phytoremediation of cadmium designed by response surface methodology. International Journal of Phytoremediation, 27(8), 1057-1065.
• KATIRCI, R., & ÇELİK, H. (2025). LEARNING RATE SENSITIVITY IN TRANSFORMER MODELS: A CASE STUDY IN NEURAL MACHINE TRANSLATION.
• KATIRCI, R., & OĞUZ, T. (2025). THE EFFECT OF THE USE OF COMPLEXIFIERS ON CHEMICAL COMPOSITION IN Cr-Ni COATINGS.
• KATIRCI, R., & ÇELİK, H. (2025). ANALYZING THE IMPACT OF LANGUAGE PAIR AND DATASET SIZE ON TRANSFORMER-BASED MACHINE TRANSLATION PERFORMANCE.
• KATIRCI, R., & OĞUZ, T. (2025). QUANTUM ALGORITHMS AND APPLICATIONS. Artificial Intelligence: Foundations, Applications and Future Directions, 1.
• Dogan, Y., Katirci, R., & Erdogan, I. (2025). Machine learning-based optimization for D-shaped PCF SPR refractive index sensor. Optics Communications, 575, 131304.
• Katirci, R., Adem, K., Tatar, M., & Ölmez, F. (2025). Comparison of the performance of classical and quantum machine‐learning methods on the detection of sugar beet Cercospora leaf disease. Plant Pathology.

2024

• Katırcı, R., Aasim, M., Deveci, G., & Mustafa, Z. (2024). Comparing quantum machine learning and classical machine learning for in vitro regeneration of cowpea (Vigna unguiculata). Plant Cell, Tissue and Organ Culture (PCTOC), 159(2), 32.
• İşlek, B., Katirci, R., & Çelіk, H. (2024). Enhancing Question Answering Systems Through Optimal Hyperparameter Tuning in GRU. 2024 8th International Artificial Intelligence and Data Processing Symposium.
• Aasim, M., Katırcı, R., Acar, A. Ş., & Ali, S. A. (2024). A comparative and practical approach using quantum machine learning (QML) and support vector classifier (SVC) for Light emitting diodes mediated in vitro micropropagation of…. Industrial Crops and Products, 213, 118397.
• Katırcı, R., Soomro, S. N., Soomro, S. R., & Aasim, M. (2024). Optimization of In vitro regeneration of cowpea (Vigna unguiculata L.) using computational models. Journal of Global Innovations in Agricultural Sciences, 12(2), 285-291.
• KATIRCI, R., ÇELİK, H., & Bilim, S. (2024). TRANSFORMER MİMARİSİNDE DROPOUT ORANLARININ PERFORMANS ÜZERİNDEKİ ETKİSİ (THE EFFECT OF DROPOUT RATES ON PERFORMANCE IN TRANSFORMER ARCHITECTURE).
• KATIRCI, R., & OĞUZ, T. (2024). ABS PLASTİK YÜZEYLERDE METALİK KAPLAMA ÖN İŞLEMLERİN OPTİMİZASYONU (OPTIMIZATION OF METALLIC COATING PRE-TREATMENTS ON ABS PLASTIC SURFACES).
• KATIRCI, R., & OĞUZ, T. (2024). NEW OPPORTUNITIES AND CHALLENGES IN QUANTUM NATURAL LANGUAGE PROCESSING.
• KATIRCI, R., & ÇELİK, H. (2024). TRANSFORMER MİMARİSİ (TRANSFORMER ARCHITECTURE).
• ÇELİK, H., KATIRCI, R., & İŞLEK, B. (2024). EFFECT OF PARAMETERS ON PERFORMANCE IN QUESTION-ANSWER MODEL WITH SIMPLE RNN DEEP LEARNING METHOD.

2023

• Katirci, R., & Danaci, K. I. (2023). The optimization of nickel electroplating process parameters with artificial intelligence methods. Journal of Applied Electrochemistry, 53(10), 2077-2089.
• Katırcı, R., & Yıldız, B. K. (2023). Prediction of fracture behavior of Al2O3-Cr2O3 ceramics in different Cr2O3 ratios under flexure load using machine learning methods. Computational Materials Science, 228, 112362.
• Aasim, M., Ayhan, A., Katırcı, R., Acar, A. Ş., & Ali, S. A. (2023). Computing artificial neural network and genetic algorithm for the feature optimization of basal salts and cytokinin-auxin for in vitro organogenesis of royal purple (Cotinus…). Industrial Crops and Products, 199, 116718.
• Katirci, R., Onel, M. N., Danaci, I., Danaci, K. I., Ozbay, S., & Erden, F. (2023). Fabrication of CZTS Films through a Combined Electrodeposition and Solution Process: An Experimental and First‐Principles Study. ChemElectroChem, 10(14), e202300162.
• KATIRCI, R., ZONTUL, M., & KAYNAR, O. (2023). HİPERPARAMETRELERİN LSTM TABANLI DOĞAL DİL İŞLEME MODELLERİ ÜZERİNDEKİ ETKİSİNİN İNCELENMESİ (INVESTIGATION OF THE EFFECT OF HYPERPARAMETERS ON LSTM-BASED NATURAL LANGUAGE PROCESSING MODELS). 5th INTERNATIONAL MARMARA SCIENTIFIC RESEARCH AND INNOVATION CONGRESS.
• Dogan, Y., Katirci, R., Erdogan, I., & Yartasi, E. (2023). Artificial neural network based optimization for Ag grated D-shaped optical fiber surface plasmon resonance refractive index sensor. Optics Communications, 534, 129332.
• Kaşıkçı, A., Katırcı, R., Özdemir, S., Yalçın, M. S., & Özçeşmeci, M. (2023). Glycerol group substituted bis (2-pyridylimino) isoindoline (BPI) complexes: synthesis, characterization and investigation of their biological properties. Dalton Transactions, 52(29), 9993-10004.
• Mirza, K., Aasim, M., Katırcı, R., Karataş, M., & Ali, S. A. (2023). Machine Learning and Artificial Neural Networks-Based Approach to Model and Optimize Ethyl Methanesulfonate and Sodium Azide Induced In Vitro Regeneration and Morphogenic…. Journal of Plant Growth Regulation, 1-15.

2022

• Gümrükçü, S., Katırcı, R., Özçeşmeci, M., Ünlü, C., & Özçeşmeci, İ. (2022). Energy transfer processes in 1, 3-bis (pyridyl) iminoisoindoline based donor–acceptor system–Synthesis, photophysics, and TD-DFT study. Inorganic Chemistry Communications, 146, 110215.
• Yakut, M., Yılmaz, M., Pekel, T., Erkan, S., Katırcı, R., & Bicer, E. (2022). Manganese (III) Acetate‐Based Radical Cyclization Reactions for Pyranocoumarin and Pyranoquinoline Compounds: Synthesis, DFT and Molecular Docking Studies. ChemistrySelect, 7(44), e202202787.
• Aasim, M., Katirci, R., Baloch, F. S., Mustafa, Z., Bakhsh, A., Nadeem, M. A., Ali, S. A., ... (2022). Innovation in the Breeding of Common Bean Through a Combined Approach of in vitro Regeneration and Machine Learning Algorithms. Frontiers in Genetics, 13, 897696.
• Aasim, M., Katırcı, R., Akgur, O., Yildirim, B., Mustafa, Z., Nadeem, M. A., ... (2022). Machine learning (ML) algorithms and artificial neural network for optimizing in vitro germination and growth indices of industrial hemp (Cannabis sativa L.). Industrial Crops and Products, 181, 114801.
• Kirtis, A., Aasim, M., & Katırcı, R. (2022). Application of artificial neural network and machine learning algorithms for modeling the in vitro regeneration of chickpea (Cicer arietinum L.). Plant Cell, Tissue and Organ Culture (PCTOC), 150(1), 141-152.
• Özçeşmeci, İ., Katırcı, R., & Sesalan, B. S. (2022). The analysis of interactions between DNA and small molecules: proposals for binding mechanisms based on computational data. Monatshefte für Chemie-Chemical Monthly, 1-12.

2021

• Katırcı, R., Yılmaz, E. K., Kaynar, O., & Zontul, M. (2021). Automated evaluation of Cr-III coated parts using Mask RCNN and ML methods. Surface and Coatings Technology, 422, 127571.
• KATIRCI, R. (2021). Cr (VI) Elektrokaplama Banyolarının Cr (III) Banyolarına Dönüştürülmesinde Etkin Faktörlerin Belirlenmesi (Determination of Effective Factors in the Conversion of Cr (VI) Electroplating Baths to Cr (III) Baths). İmalat Teknolojileri ve Uygulamaları, 2(2), 30-40.
• Katirci, R., Aktas, H., & Zontul, M. (2021). The prediction of the ZnNi thickness and Ni% of ZnNi alloy electroplating using a machine learning method. Transactions of the IMF, 99(3), 162-168.
• Katirci, R., & ÖZBAY, S. (2021). Kinetic Study of the Free Radical Copolymerization of Methyl Methacrylate with 2-Perfluorooctyl Ethyl Methacrylate by Quantum Computational Approach. Journal of the Turkish Chemical Society Section A: Chemistry, 8(4), 1263-1274.
• Yabaş, E., Biçer, E., & Katırcı, R. (2021). Experimental and In Silico studies on optical properties of new thiadiazole tetrasubstituted metal-free and zinc phthalocyanine compounds. Optical Materials, 111808.
• Katırcı, R., & Takcı, H. (2021). Makine Öğrenmesi Kullanarak Krom Kaplama Örtme Gücünün Tahmin Edilmesi (Prediction of Chrome Plating Covering Power Using Machine Learning). Fırat Üniversitesi Mühendislik Bilimleri Dergisi, 33(2), 709-719.

2020

• Dahil, L., Katirci, R., & Sümbül, H. İ. (2020). Effect of Artificial Aging Process on Aluminum Foam Made of Etial 160. Transactions of the Indian Institute of Metals, 73(11), 2739-2745.
• Kul, M., Oskay, K. O., Erden, F., Akça, E., Katırcı, R., Köksaı, E., & Akıncı, E. (2020). Effect of process parameters on the electrodeposition of zinc on 1010 steel: central composite design optimization. International Journal of Electrochemical Science, 15(10), 9779-9795.
• Sorar, İ., Özçeşmeci, İ., Katırcı, R., & Gül, A. (2020). Optical and morphological properties and in silico studies on metallophthalocyanines containing pyridyloxy moieties. Journal of Molecular Structure, 1212, 128132.
• Katırcı, R., & Dahil, L. (2020). Spectrophotometric determination and computational study of fluoride in hexavalent chromium electroplating bath. Journal of Fluorine Chemistry, 231, 109462.
• Katirci, R., & Altınsarı, A. (2020). The conversion of the waste Cr (VI) electroplating bath to Cr (III) electroplating bath.