Senol Celik – Statistics – Best Researcher Award

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Dr.  Senol celik  distinguished academic and researcher in the field Statistics. He has held academic positions at Bingöl University, Faculty of Agriculture, Department of Animal Science, Biometry and Genetics. He was appointed as an Associate Professor on January 27, 2014, and later became a Doctoral Lecturer on March 25, 2020. Throughout his tenure, he has supervised several Master’s theses. In 2019, he supervised the thesis of Birsen Gök, titled “Examination of Data on Large and Small Livestock Farming in Turkey Using Alternative Regression Methods,” which was completed under the Zootechnics Department at Bingöl University’s Institute of Natural and Applied Sciences.

In 2018, he oversaw Gamze Azak’s thesis, which focused on the “Multivariate Analysis of Milk Yields of Culture, Hybrid, and Native Cattle Breeds in Turkey,” also completed within the Zootechnics Department at the same institute. Additionally, in 2014, he guided Mehmet Dinler’s thesis, titled “Comparative Analysis of Clustering Methods in Livestock Data,” which was successfully defended at Bingöl University’s Institute of Natural and Applied Sciences.

 

🌐 Professional Profiles

 

Educations📚📚📚

He completed his undergraduate degree in Statistics at Anadolu University, Faculty of Science and Literature, in July 1992. Subsequently, he pursued his first Master’s degree in Statistics at Ankara University, Institute of Science, graduating on June 19, 2003, with a non-thesis program. In 2004, he continued his academic journey at the same institution, completing another Master’s degree in Statistics, this time with a thesis titled “Normal Distribution and Inferences Related to Normal Distribution” under the supervision of Fahrettin Arslan. Moving forward, he embarked on his doctoral studies in Zootechnics (Agricultural Sciences) at Ankara University, Institute of Science, and successfully defended his dissertation titled “Time Series Analysis and its Application to Traffic Accident Data” under the guidance of Zahide Kocabas on July 25, 2013.

Conference

He presented several papers at international scientific conferences and had them published in proceedings. In 2021, Şenol Çelik contributed to various fields such as organic farming, health, economics, and artificial intelligence. For instance, he explored students’ perspectives on their respective departments in organic farming management in a paper published in the Euroasia Journal of Mathematics-Engineering Natural & Medical Sciences. Additionally, he investigated health-related studies using the Multivariate Adaptive Regression Splines (MARS) method, as well as the relationship between inflation and unemployment rates in Turkey using the inverse regression model, both presented at the III. International Congress on Creative and Innovative Approaches. Furthermore, he delved into artificial neural networks for modelling and predicting stock closing values and trends in agriculture, demonstrating applications in animal production and suicide rate prediction in Turkey and three major cities using artificial neural networks, presented at the II. International Applied Statistics Conference and the XXI. International Symposium on Econometric Operations Research and Statistics, respectively. Additionally, he contributed to animal science research by investigating the effects of vitamin E and selenium supplementation on the fertility and hatchability of partridges, presented at the III International and XII National Animal Science Conference.

 

Research 

He has contributed extensively to national peer-reviewed journals and presented papers at various national scientific conferences. In his publications, Şenol Çelik has covered a wide range of topics including path analysis of carcass measurements in Japanese quails, analysis of body measurements in Turkish Arabian horses, and investigation of egg quality traits and feather color effects on egg weight in Japanese quails. Additionally, he has presented findings on subjects such as honey production comparisons across regions in Turkey, utilization of spline functions in modelling live weight in organic chickens, and estimation of live weight in chickens by age using Newton interpolation method. Furthermore, his research extends to fields such as dairy production economics, climate effects on crop yields, and the relationship between livestock and forage crop production, among others. He has also authored technical notes and short articles on predictive modelling in goat growth and technologies in smallholder poultry development. Moreover, he has served as an editor for several publications focused on statistical research in various fields including agriculture, engineering, and natural sciences.

International peer-reviewed journals:
  • Azak Gamze, ÇELİK ŞENOL (2019). Investigation of milk yield from culture, cross-bred and native cattle breeds in Turkey by multivariate analysis of variance (MANOVA). APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 17(6), 14945-14959.
  • Can Ağırbaş Nihal, ÇELİK ŞENOL, Sapmaz Kadriye (2019). MODELING FORAGE CROPS PRODUCTION USING THE TIME SERIES METHOD. Fresenius Environmental Bulletin, 28(11), 7763-7776.
  • ÇELİK ŞENOL (2019). Modeling and Estimation of Potato Production in Turkey with Time Series Analysis. International Journal of Trend in Research and Development (IJTRD), 6(5), 111-116.
  • ÇELİK ŞENOL (2019). Prediction of Mandarin Production in Turkey through Artificial Neural Networks and Time-Series Analysis. International Journal of Trend in Research and Development, 6(5), 85-90.
  • ÖZTÜRK YASİN, ÇELİK ŞENOL, ŞAHİN EMRE, AÇIK MEHMET NURİ, ÇETİNKAYA BURHAN (2019). Assessment of Farmers’ Knowledge, Attitudes and Practices on Antibiotics and Antimicrobial Resistance. ANIMALS, 9(9), 653.
  • ÇELİK ŞENOL, ŞENGÜL TURGAY, ŞENGÜL AHMET YUSUF (2019). Relationships between Egg Quality Traits in Quails Examined with Data Mining Methods. Yüzüncü Yıl Üniversitesi Tarım Bilimleri Dergisi, 29(3), 433-439.
  • ÇELİK ŞENOL (2019). ESTIMATION OF THE ORANGE PRODUCTION IN TURKEY BY MEANS OF ARTIFICIAL NEURAL NETWORKS. GLOBAL JOURNAL OF ENGINEERING SCIENCE AND RESEARCHES, 6(9), 10-16.
  • ÇELİK ŞENOL (2019). Logistic Regression Analysis and An Application Regarding Students’ Success. Journal of Multidisciplinary Engineering Science Studies (JMESS, 5(6), 2628-2631.
  • ÇELİK ŞENOL (2019). Comparing Predictive Performances of Tree-Based Data Mining Algorithms and MARS Algorithm in the Prediction of Live Body Weight from Body Traits in Pakistan Goats. Pakistan Journal of Zoology (PJZ), 51(4), 1447-1456.
  • ÇELİK ŞENOL, BOYDAK ERKAN (2019). Determination Of Several Plant Characteristics Affecting Yield Per Decare In Peanut Using Different Regression Models. Journal of Multidisciplinary Engineering Science Studies (JMESS), 5(3), 2540-2544.
  • ÇELİK ŞENOL (2018). Using Lagrange interpolation to determine the milk production amount by the number of milked animals. American Journal of Engineering Research (AJER), 7(8), 264-271.
  • ÇELİK ŞENOL, ŞENGÜL TURGAY, SÖĞÜT BÜNYAMİN, ŞENGÜL ÖMER, İNCİ HAKAN (2018). Çanakkale ilinde sağılan koyun sayısı, süt üretimi, dolar kuru ve altın fiyatı ilişkisi: ARDL Bound testi yaklaşımı. JOURNAL OF AWARENESS, 3, 173-180.
 Publication📚✨📚✨