Eğitim Bilgileri
2020 - 2024
2020 - 2024Doktora
Abdullah Gül Üniversitesi, Institute of Science, Electrical and Computer Engineering, Türkiye
2018 - 2020
2018 - 2020Yüksek Lisans
Abdullah Gül Üniversitesi, Institute of Science, Electrical and Computer Engineering, Türkiye
2011 - 2016
2011 - 2016Lisans
Erciyes Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği, Türkiye
Yaptığı Tezler
2024
2024Doktora
Machine learning approaches for internet of things based vehicle type classification and network anomaly detection
Abdullah Gül Üniversitesi
2020
2020Yüksek Lisans
Development of data mining methodologies and machine learning models to understand cardiovascular disease mechanisms
Abdullah Gül Üniversitesi
Akademik Ünvanlar / Görevler
2025 - Devam Ediyor
2025 - Devam EdiyorDr. Öğr. Üyesi
Kayseri Üniversitesi, Mühendislik, Mimarlık Ve Tasarım Fakültesi, Yazılım Mühendisliği Bölümü
2018 - 2025
2018 - 2025Araştırma Görevlisi
Abdullah Gül Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği
Yönetimsel Görevler
2025 - Devam Ediyor
2025 - Devam EdiyorBölüm Başkan Yardımcısı
Kayseri Üniversitesi, Mühendislik, Mimarlık Ve Tasarım Fakültesi, Yazılım Mühendisliği Bölümü
Makaleler
Tümü (14)
SCI-E, SSCI, AHCI (9)
SCI-E, SSCI, AHCI, ESCI (9)
Scopus (10)
TRDizin (2)
Diğer Yayınlar (2)
2025
20251. Investigating strain rate effects on damage mechanisms in hybrid laminated composites using acoustic emission
Gülşen A., Kolukısa B., Etcil M., Çalışkan U., Zafar H. M. N., Demirbaş M. D., et al.
APPLIED ACOUSTICS
, cilt.240, 2025 (SCI-Expanded, Scopus)
2025
20252. Enhancing Diagnostic Quality in Panoramic Radiography: A Comparative Evaluation of GAN Models for Image Restoration
Kolukisa B., Çelebi F., Ersu N., Yücel K. S., Canger E. M.
CONCURRENCY COMPUTATION PRACTICE AND EXPERIENCE , cilt.37, ss.70289, 2025 (SCI-Expanded, Scopus)
2025
20253. Breast Cancer Detection Using a New Parallel Hybrid Logistic Regression Model Trained by Particle Swarm Optimization and Clonal Selection Algorithms
Etcil M., Dedeturk B. K., Kolukisa B., Bakir‐Gungor B., Gungor V. C.
CONCURRENCY COMPUTATION PRACTICE AND EXPERIENCE , cilt.37, sa.12-14, ss.70107, 2025 (SCI-Expanded, Scopus)
2025
20254. Defect classification of composite materials using transfer learning methods
Gulsen A., Kolukisa B., ÖZDEMİR A. T., Bakir-Gungor B., Gungor V. C.
NONDESTRUCTIVE TESTING AND EVALUATION
, cilt.40, sa.9, ss.4338-4354, 2025 (SCI-Expanded, Scopus)
2024
20245. Ensemble Feature Selection for Clustering Damage Modes in Carbon Fiber-Reinforced Polymer Sandwich Composites Using Acoustic Emission
Gulsen A., Kolukisa B., ÇALIŞKAN U., Bakir-Gungor B., Gungor V. C.
ADVANCED ENGINEERING MATERIALS
, cilt.26, sa.22, 2024 (SCI-Expanded, Scopus)
2024
20246. An efficient network intrusion detection approach based on logistic regression model and parallel artificial bee colony algorithm
Kolukisa B., DEDETÜRK B. K., Hacilar H., Gungor V. C.
COMPUTER STANDARDS & INTERFACES
, cilt.89, 2024 (SCI-Expanded, Scopus)
2023
20237. CLUSTER-BASED CLONAL SELECTION ALGORITHM FOR VEHICLE ROUTING PROBLEMS WITH TIME WINDOWS
DEDETÜRK B. K., KOLUKISA B., ÖZMEN M.
Adıyaman Üniversitesi Mühendislik Bilimleri Dergisi
, cilt.10, sa.21, ss.307-320, 2023 (TRDizin)
2023
20238. Privacy-Preserving Wireless Indoor Localization Systems
ADANUR DEDETÜRK B., KOLUKISA B., TONYALI S.
Kocaeli Journal of Science and Engineering
, cilt.6, sa.2, ss.114-128, 2023 (TRDizin)
2023
20239. Ensemble feature selection and classification methods for machine learning-based coronary artery disease diagnosis
KOLUKISA B., Bakir-Gungor B.
COMPUTER STANDARDS & INTERFACES
, cilt.84, 2023 (SCI-Expanded, Scopus)
2023
202310. A deep neural network approach with hyper-parameter optimization for vehicle type classification using 3-D magnetic sensor
Kolukisa B., Yildirim V. C., Ayyildiz C., Gungor V. C.
COMPUTER STANDARDS & INTERFACES
, cilt.84, 2023 (SCI-Expanded, Scopus)
2022
202211. Deep learning approaches for vehicle type classification with 3-D magnetic sensor
KOLUKISA B., Yildirim V. C., Elmas B., Ayyildiz C., GÜNGÖR V. Ç.
COMPUTER NETWORKS
, 2022 (SCI-Expanded, Scopus)
2020
202012. Coronary Artery Disease Diagnosis Using Optimized Adaptive Ensemble Machine Learning Algorithm
KOLUKISA B., YAVUZ L., SORAN A., GÜNGÖR B., Tuncer D., ÖNEN A., et al.
International Journal of Bioscience, Biochemistry and Bioinformatics , cilt.10, 2020 (Hakemli Dergi)
2019
201913. Weighted Association Rules and Scoring Methodology for Cardiovascular Diseases
GÖY G., KOLUKISA B., GÜNGÖR B., Uğur İ., GÜNGÖR V. Ç.
International Journal of Bioscience, Biochemistry and Bioinformatics , cilt.9, sa.4, ss.222-230, 2019 (Hakemli Dergi)
2019
201914. Diagnosis of Coronary Heart Disease via Classification Algorithms and a New Feature Selection Methodology
KOLUKISA B., HACILAR H., GÖY G., Kuş M., GÜNGÖR B., ARAL A., et al.
INTERNATIONAL JOURNAL OF DATA ANALYSIS TECHNIQUES AND STRATEGIES , cilt.1, sa.1, ss.8-15, 2019 (Scopus)
Hakemli Bilimsel Toplantılarda Yayımlanmış Bildiriler
2024
20241. ATGRUVAE: Reducing Noise and Improving Forecasting Performance in Stock Data
AKKAŞ H., KOLUKISA B., GÜNGÖR B.
2024 9th International Conference on Computer Science and Engineering (UBMK), 26 - 28 Ekim 2024, (Tam Metin Bildiri)
2024
20242. Evaluating the Impact of Sentiment Analysis on Deep Reinforcement Learning-Based Trading Strategies
ETCİL M., KOLUKISA B., GÜNGÖR B.
2024 9th International Conference on Computer Science and Engineering (UBMK), 26 - 28 Ekim 2024, (Tam Metin Bildiri)
2024
20243. A Federated Learning Framework for Classifying the Images in Ultrasonic Nondestructive Testing
GÜLŞEN A., HACILAR H., KOLUKISA B., GÜNGÖR B.
9th International Conference on Computer Science and Engineering, UBMK 2024, Antalya, Türkiye, 26 - 28 Ekim 2024, ss.360-364, (Tam Metin Bildiri)
2022
20224. A Transfer Learning Approach for Skin Cancer Subtype Detection
KOLUKISA B., GÖRMEZ Y., AYDIN Z.
4th International Conference on Artificial Intelligence and Applied Mathematics in Engineering, Azerbaycan, 20 - 22 Mayıs 2022, (Tam Metin Bildiri)
2021
20215. A Comparative Analysis on Medical Article Classification Using Text Mining & Machine Learning Algorithms
KOLUKISA B., DEDETÜRK B. K., Dedeturk B. A., Gulsen A., BAKAL M. G.
2021 6th International Conference on Computer Science and Engineering (UBMK), Ankara, Türkiye, 15 - 17 Eylül 2021, ss.360-365, (Tam Metin Bildiri)
2020
20206. An Ensemble Feature Selection Methodology That Incorporates Domain Knowledge for Cardiovascular Disease Diagnosis
KOLUKISA B., GÜNGÖR V. Ç., GÜNGÖR B.
28th Signal Processing and Communications Applications Conference (SIU), Gaziantep, Türkiye, 5 - 07 Ekim 2020, ss.1-4, (Tam Metin Bildiri)
2020
20207. Ensemble Churn Prediction for Internet Service Provider with Machine Learning Techniques
GÖY G., KOLUKISA B., BAHÇEVAN C., GÜNGÖR V. Ç.
5th International Conference on Computer Science and Engineering (UBMK), Diyarbakır, Türkiye, 9 - 11 Eylül 2020, ss.248-253, (Tam Metin Bildiri)
2018
20188. Evaluation of Classification Algorithms, Linear Discriminant Analysis and a New Hybrid Feature Selection Methodology for the Diagnosis of Coronary Artery Disease
KOLUKISA B., HACILAR H., GÖY G., KUŞ M., GÜNGÖR B., ARAL A., et al.
IEEE International Conference on Big Data, Seattle, WA, Amerika Birleşik Devletleri, 10 - 13 Aralık 2018, ss.2232-2238, (Tam Metin Bildiri)