KİŞİSEL BİLGİLER
Adı Soyadı Doç. Dr. Utku KÖSE
Birimi Mühendislik Fakültesi
Bölüm Bilgisayar Mühendisliği Bölümü
Ana Bilim Dalı Bilgisayar Bilimleri Anabilim Dalı
Telefon 2462111391
E-Posta E-Posta Adresini Göster
Kişisel Web Sayfası http://www.utkukose.com
ORCID ID 0000-0002-9652-6415
Akademik Hesaplar image/svg+xml
Web Of Science ResearcherID
Google Scholar Hindex: 27
Alıntı Sayısı: 2693
Web Of Science Hindex: 15
Alıntı Sayısı: 625
Bu sayfadaki kişisel verilerin görünürlüğü KVKK 8. madde hükmü uyarınca ilgili kişinin açık rızası kapsamındadır. Kişisel verilerinizin görünürlüğünü veya hali hazırdaki verilerinizi Personel Bilgi Sistemi (PBS) ve Akademik Bilgi Sistemi (ABS) üzerinden düzenleyebilirsiniz.
ÖĞRENİM BİLGİLERİ
Lisans GAZİ ÜNİVERSİTESİ BİLGİSAYAR EĞİTİMİ BÖLÜMÜ 09.06.2008
Yüksek Lisans AFYON KOCATEPE ÜNİVERSİTESİ BİLGİSAYAR (YL) (TEZLİ) 08.06.2010
Doktora SELÇUK ÜNİVERSİTESİ BİLGİSAYAR MÜHENDİSLİĞİ (DR) 02.08.2017
AKADEMİK YAYIN ANALİZLERİ (Son 5 Yıl)
İLGİ ALANLARI
Yapay Zekâ,Makine Etiği,Yapay Zekâ Güvenliği,Optimizasyon,Bilgisayar Programlama,Kaos,Bilgisayar Eğitimi,E-Öğrenme,Uzaktan Eğitim,Bilgisayar Bilimleri
YAYINLAR
  • Uluslararası Hakemli Dergilerde Yayımlanan Makaleler
  • 1 Karaburun Ahmet Erkam, KÖSE UTKU, An Intelligent Fuzzy Logic Based Greenhouse System Modeling for the Antalya Area. International Journal of Engineering and Applied Sciences, 8(6), , 1-7. Doi: 10.31873/IJEAS.8.6.03, (2021), (Diğer)
  • 2 BARIN SEZİN, Sarıbaş Murat, Ciltaş Beyza Gülizar, GÜRAKSIN GÜR EMRE, KÖSE UTKU, Hybrid Convolutional Neural Network-Based Diagnosis System for Intracranial Hemorrhage. BRAIN-BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE, 12(4), , 1-27. Doi: 10.18662/brain/12.4/236, (2021), (ESCI: Emerging Sources Citation Index)
  • 3 TOKMAK MAHMUT, KÜÇÜKSİLLE Ecir Uğur, KÖSE UTKU, Deep Learning Based Malware Detection Tool Development for Android Operating System. BRAIN-BROAD RESEARCH IN ARTIFICIAL INTELLIGENCE AND NEUROSCIENCE, 12(4), , 28-56. Doi: 10.18662/brain/12.4/237, (2021), (ESCI: Emerging Sources Citation Index)
  • 4 ORMAN ABDULLAH, KÖSE Utku, YİĞİT Tuncay, Açıklanabilir Evrişimsel Sinir Ağları ile Beyin Tümörü Tespiti. El-Cezeri Fen ve Mühendislik Dergisi, 8(3), , 1323-1337. Doi: 10.31202/ecjse.924446, (2021), (TR DİZİN)
  • 5 Kumar Ambeshwar, Manikandan Ramachandran, KÖSE UTKU, Gupta Deepak, Satapathy Suresh C., Doctor's Dilemma: Evaluating an Explainable Subtractive Spatial Lightweight Convolutional Neural Network for Brain Tumor Diagnosis. ACM Transactions on Multimedia Computing, Communications, and Applications, 17(3), Doi: 10.1145/3457187, (2021), (SCI-Expanded)
  • 6 Issa Tomayess, Alqahtani Sulaiman Ghazi B., Al-Oqily Ibrahim, BALTACI ŞEHNAZ, KÖSE UTKU, Issa Theodora, Salih Bilal Abu, Almufaraj Waleed Khalid, Use of social networking in the Middle East: student perspectives in higher education. HELIYON, 7(4), Doi: 10.1016/j.heliyon.2021.e06676, (2021), (SCI-Expanded)
  • 7 Prakash U., Kottursamy Kottilingam, CENGİZ KORHAN, KÖSE UTKU, Hung Bui Thanh, 4x-expert systems for early prediction of osteoporosis using multi-model algorithms. MEASUREMENT Doi: 10.1016/j.measurement.2021.109543, (2021), (SCI-Expanded)
  • 8 Çağlıyan Beyda, KÖSE Utku, Epilepsi EEG Verilerinin Makine Öğrenmesi Teknikleriyle Sınıflandırılması. European Journal of Science and Technology , 163-172. Doi: 10.31590/ejosat.857507, (2021), (TR DİZİN)
  • 9 GORAL Sena, KÖSE Utku, Skolyoz için Kapsül Ağları Tabanlı Otomatik Ölçüm Sistemi. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 9(5), , 2087-2101. Doi: 10.29130/dubited.919890, (2021), (TR DİZİN)
  • 10 Sayın Hamdi, Salman Osamah Khaled Musleh, AKSOY BEKİR, KÖSE UTKU, EKG Sinyallerini kullanarak Kalp Ritimlerinin Yapay Zekâ ile Sınıflandırılması. Düzce Üniversitesi Bilim ve Teknoloji Dergisi, 9(1), , 7-15. Doi: 10.29130/dubited.824362, (2021), (TR DİZİN)
  • 11 Podder Prajoy, Bharati Subrato, Mondal M. Rubaiyat Hossain, Paul Pinto Kumar, KÖSE Utku, Artificial Neural Network for Cybersecurity: A Comprehensive Review. JOURNAL OF INFORMATION ASSURANCE AND SECURITY , 10-23. (2021), (ESCI: Emerging Sources Citation Index)
  • 12 KÖSE Utku, Vasant Pandian, Better campus life for visually impaired University students: intelligent social walking system with beacon and assistive technologies. WIRELESS NETWORKS , 4789-4803. Doi: 10.1007/s11276-018-1868-z, (2020), (SCI-Expanded)
  • 13 Winston J. Jenkin, Turker Gul Fatma, KÖSE Utku, Hemanth D. Jude, Novel Optimization Based Hybrid Self-Organizing Map Classifiers for Iris Image Recognition. INTERNATIONAL JOURNAL OF COMPUTATIONAL INTELLIGENCE SYSTEMS , 1048-1058. Doi: 10.2991/ijcis.d.200721.001, (2020), (SCI-Expanded)
  • 14 Aksoy Bekir, KÖSE Utku, Optimization of real-time wireless sensor based big data with deep autoencoder network: a tourism sector application with distributed computing. TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES , 3137-3153. Doi: 10.3906/elk-2001-156, (2020), (SCI-Expanded)
  • 15 Hemanth D. Jude, Deperlioglu Omer, KÖSE Utku, An enhanced diabetic retinopathy detection and classification approach using deep convolutional neural network. NEURAL COMPUTING & APPLICATIONS , 707-721. Doi: 10.1007/s00521-018-03974-0, (2020), (SCI-Expanded)
  • 16 Gochhayat Sarada Prasad, Lal Chhagan, Sharma Lokesh, Sharma D. P., Gupta Deepak, Saucedo Jose Antonio Marmolejo, KÖSE Utku, Reliable and secure data transfer in IoT networks. WIRELESS NETWORKS , 5689-5702. Doi: 10.1007/s11276-019-02036-0, (2020), (SCI-Expanded)
  • 17 Gezer Bahdisen, KÖSE Utku, Zubov Dmytro, Deperlioglu Omer, Vasant Pandian, Determining optimum carob powder adsorbtion for cleaning wastewater: intelligent optimization with electro-search algorithm. WIRELESS NETWORKS , 5665-5679. Doi: 10.1007/s11276-019-02035-1, (2020), (SCI-Expanded)
  • 18 Rajesh Ganesan, Raajini Xavier Mercilin, Sagayam Kulandairaj Martin, Bhushan Bharat, KÖSE Utku, Fuzzy genetic based dynamic spectrum allocation approach for cognitive radio sensor networks. TURKISH JOURNAL OF ELECTRICAL ENGINEERING AND COMPUTER SCIENCES , 2416-2432. Doi: 10.3906/elk-1907-206, (2020), (SCI-Expanded)
  • 19 Birogul Serdar, Temur Gunay, KÖSE Utku, YOLO Object Recognition Algorithm and "Buy-Sell Decision" Model Over 2D Candlestick Charts. IEEE ACCESS , 91894-91915. Doi: 10.1109/ACCESS.2020.2994282, (2020), (SCI-Expanded)
  • 20 Gheisari Mehdi, Alzubi Jafar, Zhang Xiaobo, KÖSE Utku, Marmolejo Saucedo Jose Antonio, A new algorithm for optimization of quality of service in peer to peer wireless mesh networks. WIRELESS NETWORKS , 4965-4973. Doi: 10.1007/s11276-019-01982-z, (2020), (SCI-Expanded)
  • 21 Tayal Akash, KÖSE Utku, Solanki Arun, Nayyar Anand, Marmolejo Saucedo Jose Antonio, Efficiency analysis for stochastic dynamic facility layout problem using meta-heuristic, data envelopment analysis and machine learning. COMPUTATIONAL INTELLIGENCE , 172-202. Doi: 10.1111/coin.12251, (2020), (SCI-Expanded)
  • 22 Hemanth Jude D., KÖSE Utku, Deperlioglu Omer, de Albuquerque Victor Hugo C., An augmented reality-supported mobile application for diagnosis of heart diseases. JOURNAL OF SUPERCOMPUTING , 1242-1267. Doi: 10.1007/s11227-018-2483-6, (2020), (SCI-Expanded)
  • 23 Deperlioglu Omer, KÖSE Utku, Gupta Deepak, Khanna Ashish, Sangaiah Arun Kumar, Diagnosis of heart diseases by a secure Internet of Health Things system based on Autoencoder Deep Neural Network. COMPUTER COMMUNICATIONS , 31-50. Doi: 10.1016/j.comcom.2020.08.011, (2020), (SCI-Expanded)
  • 24 Calp M. Hanefi, KÖSE Utku, Estimation of Burned Areas In Forest Fires Using Artificial Neural Networks. INGENIERIA SOLIDARIA Doi: 10.16925/2357-6014.2020.03.08, (2020), (ESCI: Emerging Sources Citation Index)
  • 25 KÖSE UTKU, An Ant-Lion Optimizer-Trained Artificial Neural Network System for Chaotic Electroencephalogram (EEG) Prediction. Applied Sciences-Basel, 8(9), Doi: 10.3390/app8091613, (2018), (SCI-Expanded)
  • 26 BOZ HAKAN, KÖSE UTKU, Emotion Extraction from Facial Expressions by Using Artificial Intelligence Techniques. Broad Research in Artificial Intelligence and Neuroscience, 9(1), , 5-16. (2018), (Diğer)
  • 27 KÖSE Utku, ARSLAN AHMET, Optimization of self learning in computer engineering courses An intelligent software system supported by artificial neural network and vortex optimization algorithm. Computer Applications in Engineering Education, 25(1), , 142-156. Doi: 10.1002/cae.21787, (2017), (SCI-Expanded)
  • 28 FURDU IULIAN, TOMOZEI COSMIN, KÖSE UTKU, Pros and Cons Gamification and Gaming in Classroom. Broad Research in Artificial Intelligence and Neuroscience, 8(2), , 56-62. (2017), (ESCI: Emerging Sources Citation Index)
  • 29 VASANT PANDIAN, KÖSE UTKU, WATADA JUNZO, Metaheuristic techniques in enhancing the efficiency and performance of thermo-electric cooling devices. Energies, 10(11), Doi: 10.3390/en10111703, (2017), (SCI-Expanded)
  • 30 YALÇIN NURSEL, ALTUN YALÇIN, KÖSE Utku, Educational material development model for teaching computer network and system management. COMPUTER APPLICATIONS IN ENGINEERING EDUCATION, 23(4), , 621-629. Doi: 10.1002/cae.21636, (2015), (SCI-Expanded)
  • 31 DEPERLİOĞLU ÖMER, KÖSE Utku, The effectiveness and experiences of blended learning approaches to computer programming education. Computer Applications in Engineering Education, 21(2), , 328-342. Doi: 10.1002/cae.20476, (2013), (SCI-Expanded)
  • 32 TÜFEKÇİ ASLIHAN, KÖSE Utku, Bilgisayar programlama öğretiminde yapay zekâ tabanlı bir yazılım sisteminin geliştirilmesi ve değerlendirilmesi. Hacettepe University Journal of Education, 28(2), , 469-481. (2013), (SSCI)
  • 33 YALÇIN NURSEL, KÖSE Utku, What is search engine optimization: SEO?. Procedia - Social and Behavioral Sciences , 487-493. Doi: 10.1016/j.sbspro.2010.12.185, (2011), (Alan Endeksleri)
  • 34 KÖSE Utku, A blended learning model supported with Web 2 0 technologies. Procedia - Social and Behavioral Sciences, 2(2), , 2794-2802. Doi: 10.1016/j.sbspro.2010.03.417, (2010), (Alan Endeksleri)
  • Ulusal Hakemli Dergilerde Yayımlanan Makaleler
  • 1 KÖSE UTKU, YAPAY ZEKA ETİĞİ ÇERÇEVESİNDE GELECEĞİN İŞLETMELERİ: DÖNÜŞÜM VE PARADİGMA DEĞİŞİKLİKLERİ. Mühendislik Bilimleri ve Tasarım Dergisi, 8(5), , 290-305. Doi: 10.21923/jesd.833224, (2020), (TR DİZİN)
  • Kitap
  • 1 KÖSE UTKU, DEPERLİOĞLU ÖMER, Alzubi Jafar, Patrut Bogdan, Deep Learning for Medical Decision Support Systems(2021). Springer, Tümü, (ULUSLARARASI)
  • 2 KÖSE Utku, Deperlioğlu Ömer, Augmented Reality in Educational Settings(2020). Brill Sense, Bölüm, (ULUSLARARASI)
  • 3 GÜRAKSIN GÜR EMRE, DEPERLİOĞLU ÖMER, KÖSE UTKU, Nature Inspired Optimization Techniques for Image Processing Applications(2019). Springer, Bölüm, (ULUSLARARASI)
  • Editörlük
  • 1 Eğitimde Zeki ve Esnek Teknolojiler, Araştırma Kitabı, Editör, 01.01.2021 - Devam Ediyor (ULUSLARARASI)
  • 2 Evde Eğitim ve Öğretim İçin Teknoloji Kullanımı: Teori, Uygulamalar ve Geleceğe Bakış, Araştırma Kitabı, Editör, 01.01.2021 - Devam Ediyor (ULUSLARARASI)
  • 3 Yapay Zekâ Etiği, Araştırma Kitabı, Editör, 01.01.2021 - Devam Ediyor (ULUSLARARASI)
  • 4 Data Science for COVID-19 Volume 2: Societal and Medical Perspectives, Araştırma Kitabı, Editör, 01.01.2021 - Devam Ediyor (ULUSLARARASI)
  • 5 Data Science for COVID-19 Volume 1 Computational Perspectives, Araştırma Kitabı, Editör, 01.01.2021 - Devam Ediyor (ULUSLARARASI)
  • 6 Artificial Intelligence for Data-Driven Medical Diagnosis, Araştırma Kitabı, Editör, 01.01.2021 - Devam Ediyor (ULUSLARARASI)
  • 7 Deep Learning for Biomedical Applications, Araştırma Kitabı, Editör, 01.01.2021 - Devam Ediyor (ULUSLARARASI)
  • 8 Deep Learning for Cancer Diagnosis, Araştırma Kitabı, Editör, 01.01.2021 - Devam Ediyor (ULUSLARARASI)
  • 9 Artificial Intelligence and Applied Mathematics in Engineering Problems, Araştırma Kitabı, Editör, 15.01.2020 - 31.03.2020 (ULUSLARARASI)
VERDİĞİ DERSLER
 
Bu İçeriği Paylaş!