Ahmet Tezcan Tekin

ahmettezcan.tekin@boun.edu.tr

6536

B300

Dr.

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Eğitim

Ph.D. in Management Engineering, 2021, Istanbul Technical University.

MSc. in Management Engineering, 2017, Istanbul Technical University.

BSc. in Information Systems Engineering, 2013, Istanbul Technical University.

BSc. in Computer Science and Information Systems Engineering, 2013, (SUNY) Binghamton University.

Araştırma

Araştırma Alanları:

Machine Learning

Artificial Intelligence

Big Data

Fuzzy Logic

Industry 4.0.

Publications

Tekin A.T., Çebi F. (2020) Click and Sales Prediction for OTA’s Digital Advertisements: Fuzzy Clustering Based Approach. Journal of Intelligent & Fuzzy Systems, 39(5), 6619-6627
Tekin A.T., Kaya T., Çebi F. (2021) Customer Lifetime Value Prediction for Gaming Industry: Fuzzy Clustering Based Approach. Journal of Intelligent & Fuzzy Systems, Pre-press, 1-10
Şahinarslan F.V, Tekin A.T., Çebi F. (2022). Machine Learning Approach to Forecast Population: Turkey Example. International Journal of Data Science. Pre-press, Pre-press.
Demirel, Ç., Tokuç, A. A., & Tekin, A. T. (2022). Click prediction boosting via Bayesian hyperparameter optimization based ensemble learning pipelines. arXiv. https://doi.org/10.48550/arXiv.2206.03592
Tekin A.T., Ayhan, G., Ozkale N.L., (2018). Turkish Automotive Industry and Preparation for Industry 4.0. In International Engineering and Technology Management Summit (ETMS 2018), pp. 1-8
Çakmak, T., Tekin, A.T., Şenel, Ç., Çoban T., Şakar, C. (2019). Accurate Prediction of Advertisement Clicks based on Impression and Click-Through Rate using Extreme Gradient Boosting. In Proceedings of the 8th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2019), pages 621-629.
Şahinarslan F.V, Tekin A.T., Çebi F. (2019). Machine Learning Algorithms to Forecast Population: Turkey Example. In International Engineering and Technology Management Summit (ETMS 2019), pp. 279-286
İdemen Tuğcu, B., Tekin A.T. (2019). Effects of Information Technologies Developments on Business Life Conditions. In International Engineering and Technology Management Summit (ETMS 2019), pp. 112-120
Tekin A.T., Cebi F. (2020) Click and Sales Prediction for Digital Advertisements: Real World Application for OTAs. In: Kahraman C., Cebi S., Cevik Onar S., Oztaysi B., Tolga A., Sari I. (eds) Intelligent and Fuzzy Techniques in Big Data Analytics and Decision Making. INFUS 2019. Advances in Intelligent Systems and Computing, vol 1029. Springer, Cham.
Tekin A.T., Kaya T., Çebi F. (2021) Click Prediction in Digital Advertisements: A Fuzzy Approach to Model Selection. In: Kahraman C., Cevik Onar S., Oztaysi B., Sari I., Cebi S., Tolga A. (eds) Intelligent and Fuzzy Techniques: Smart and Innovative Solutions. INFUS 2020. Advances in Intelligent Systems and Computing, vol 1197. Springer, Cham.
Tekin A.T., Çebi F., Kaya T. (2022). Retention Prediction in the Gaming Industry: Fuzzy Machine Learning Approach. Industrial Engineering in the Big Age of Business Intelligence, (Ed.s) Calisir, F. Pre-press, Pre-press.
Tekin A.T., Çebi F., Kaya T. (2022). Stock Price Prediction: Fuzzy Clustering Based Approach. In: Wang J (eds). Encyclopedia of Data Science and Machine Learning, Pre-press, Pre-press. IGI-Global.
Öztayşi, B., Tekin, A. T., Özdikicioğlu, C., & Tümkaya, K. C. (2017). Personalized Content Recommendation Engine for Web Publishing Services Using Textmining and Predictive Analytics. In R. Sahu, M. Dash, & A. Kumar (eds), Applying Predictive Analytics Within the Service Sector, IGI Global, (pp. 113-124).
Tekin A.T., Ozkale N.L., Oztaysi B. (2019) Big Data Concept in Small and Medium Enterprises: How Big Data Effects Productivity. In: Calisir F., Cevikcan E., Camgoz Akdag H. (eds) Industrial Engineering in the Big Data Era. Lecture Notes in Management and Industrial Engineering. Springer, Cham.
Tokuç A. A., Uran Z. E., Tekin A.T. (2019) Management of Big Data Projects: PMI Approach for Success. In Bolat H. B., Temur G. T. (eds) Agile Approaches for Successfully Managing and Executing Projects in the Fourth Industrial Revolution, IGI Global, 2019, pp. 279-293. http://doi:10.4018/978-1-5225-7865-9.ch015
Tekin A.T., Özkale L., Gültekin-Karakaş D. (2020) The Turkish Automotive Industry in the Era of Digital Technologies and Autonomous Cars. In: Durakbasa N., Gençyılmaz M. (eds) Proceedings of the International Symposium for Production Research 2019. ISPR 2019, ISPR 2019. Lecture Notes in Mechanical Engineering. Springer, Cham.
Özgün K., Aklan S.C., Tekin A.T., Çebi F. (2021) Malfunction Detection on Production Line Using Machine Learning: Case Study in Wood Industry. In: Kahraman C., Cevik Onar S., Oztaysi B., Sari I., Cebi S., Tolga A. (eds) Intelligent and Fuzzy Techniques: Smart and Innovative Solutions. INFUS 2020. Advances in Intelligent Systems and Computing, vol 1197. Springer, Cham.
Altınok N., Farrokhizadeh E., Tekin A.T., Khameneh S.G., et al. (2022) Predicting Performance of Legal Debt Collection Agency. In: Kahraman C., Cebi S., Cevik Onar S., Oztaysi B., Tolga A.C., Sari I.U. (eds) Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation. INFUS 2021. Lecture Notes in Networks and Systems, vol 308. Springer, Cham.
Yağcıoğlu E., Tekin A.T., Çebi F. (2022) Demand Forecasting of a Company that Produces by Mass Customization with Machine Learning. In: Kahraman C., Cebi S., Cevik Onar S., Oztaysi B., Tolga A.C., Sari I.U. (eds) Intelligent and Fuzzy Techniques for Emerging Conditions and Digital Transformation. INFUS 2021. Lecture Notes in Networks and Systems, vol 308. Springer, Cham.
Farrokhizadeh, E., Ghazanfari Khameneh, S., Altinok, N., Tekin, A. T., Oztaysi, B., Kabak, Ö., ... & Öztürk, E. (2022). Fair Assignment of Debt Cases to Legal Debt Collection Centers. In New Perspectives in Operations Research and Management Science (pp. 1-29). Springer, Cham.
Tekin, A.T., Sarı, C. (2022). Store-based Demand Forecasting of a Company via Ensemble Learning. In: Kahraman, C., Tolga, A.C., Cevik Onar, S., Cebi, S., Oztaysi, B., Sari, I.U. (eds) Intelligent and Fuzzy Systems. INFUS 2022. Lecture Notes in Networks and Systems, vol 505. Springer, Cham. https://doi.org/10.1007/978-3-031-09176-6_2
Tekin, A.T. (2022). Game Level Design in Mobile Gaming Industry: Fuzzy Pythagorean Similarity Approach. In: Kahraman, C., Tolga, A.C., Cevik Onar, S., Cebi, S., Oztaysi, B., Sari, I.U. (eds) Intelligent and Fuzzy Systems. INFUS 2022. Lecture Notes in Networks and Systems, vol 505. Springer, Cham. https://doi.org/10.1007/978-3-031-09176-6_75

Yayınlar:

Araştırma Projeleri:

Dersler

INTT 125 - Information Systems for Trade

Deneyim

Soft Towel Games - Co-founder and Head of Data – (2020 – Present)

Cerebro – CTO and R&D Manager – (2018-2020)

Kontra – Head of Data – (2015-2018)

Kontra – Database Administrator – (2013-2015)

Biyografi

Dr. Ahmet Tezcan Tekin is one of the co-founders of Soft Towel Games, and he is responsible for data and financial operations in the company. He is an adjunct professor at Boğaziçi University and Bahçeşehir University. He has also been an Istanbul Technical University Continuing Education Centre instructor since 2017.

As an adjunct professor, Dr. Tekin teaches “Information Systems for Trade” at Boğaziçi University’s Department of International Trade and “Big Data Management in Industry” at Bahçeşehir University.

His academic interest focuses on big data management in industry, ensemble learning, artificial intelligence and fuzzy logic. In this respect, he published more than twenty publications in these fields.

Dr. Tekin has completed his undergraduate studies at Istanbul Technical University and SUNY Binghamton University. He received his MS.c at Istanbul Technical University Management Engineering Program in 2017 and his Ph.D. at Istanbul Technical University Management Engineering Program in 2021 on the research on Machine Learning and Fuzzy Logic.

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Ahmet Tezcan Tekin

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