Title: Associate Prof. Dr.Department: Computer Engineering DepartmentPosition: Academic StaffEmail: goularas@cse.yeditepe.edu.trTelephone: 1423Office: A-406Time: Full TimeAkademikResume Education: Ph.D.: Computer Engineering, Paris-Sud University: Paris XI M.Sc.: Computer Engineering, Paris-Sud University: Paris XI B.Sc.: Electrical and Computer Engineering, Aristotle University of Thessaloniki Research Area Image Processing, Artificial Intelligence, Audio Processing, Big Data Projects Erasmus+ In-VisIBLe: Inclusive and Innovative learning tool for Visually Impaired and Blind people. 2021-1-IT02-KA220-HED-000031139. Erasmus+ Timeline Travel: An Alternative Tool for Architectural History Learning and Teaching.2017-1-TR01-KA203-046818, Good Practice Example Award Patents C. Sirtori, D. Goularas, F. Labombarda, (2022) Ultrasound device for measuring the wall thickness of the left anterior descending, right, and circumflex coronary arteries. Patent No. FR-3106051. I. Özmen, C. Kahraman, Z.Z. Turgay, D. Goularas, I. Çebi, H. Küçükaydin İsmayilov (2020), Yeni mağaza yeri belirleme ve değerleme için karar destek sistemi, Patent No.: 2016/18104 PA-104-18. Supervised Theses PhD Yusuf Can Semerci (2021): Student learning analysis in e-learning using deep neural networks Füsun Er (2017): Computer aided diagnosis of cognitive disorders using neuropsychological and neuroimaging data Master Ufuk İlke Avcı (2024). Information Extraction from Scanned Invoice Documents Using Deep Learning Methods. Can Akkaya (2024). Comparison of Machine Learning and Deep Learning Methods for Fraud Detection Mehmet Ali Özer (2024). Generation of Image Series from a Sequence of Related Short Sentences Busra Temel Kaya (2024) Failure Prediction on Semiconductor Manufacturing by using Machine Learning Hatice Yüksel (2023) Musical Metaphors: Innate and Objective Gökhan Akgün (2022): Applying Continual Learning Strategies for Classification of Cervical Cells Alper Kaplan (2022): Image to music: Cross-modal automatic melody generation through superpixel-based image captioning Cavide Balki Gemirter (2021): A Turkish language factoid question answering system based on Deep Learning Neural Networks Kürşat Çinar (2019): Optical music recognition of Hamparsum note manuscripts Sani Kamiş (2019): Evaluation of deep learning algorithms in sentiment analysis İpek Çebi (2016): Determining best grocery store location based on a multi-objective optimization approach Yusuf Can Semerci (Co-supervisor) (2015): Self-localization by using artificial neural networks for humanoid robot NAO PublicationsJournal Papers Bayındır Goularas, G., Turkan İpek, I.Z., Erözer, E., Kocaman Mert, N. and Goularas, D., 2024. Political News Monitoring and Questioning the Trustworthiness of News among Turkish University Students in the Infodemic COVID-19 Environment. Journal of Applied Youth Studies, 7(1), pp.83-96. https://doi.org/10.1007/s43151-024-00117-2 Semerci, Y. C., & Goularas, D. (2020). Evaluation of Students’ Flow State in an E-learning Environment Through Activity and Performance Using Deep Learning Techniques. Journal of Educational Computing, Research, vol, 59, no 5. pp. 960-987 https://doi.org/10.1177/0735633120979836 Er, F., & Goularas, D. (2020). Predicting the prognosis of MCI patients using longitudinal MRI data. IEEE/ACM Transactions on Computational Biology and Bioinformatics., vol. 8, no. 3, pp. 1164-1173, https://doi.org/10.1109/TCBB.2020.3017872 Er, F., Iscen, P., Sahin, S., Çinar, N., Karsidag, S., & Goularas, D. (2017). Distinguishing age-related cognitive decline from dementias: A study based on machine learning algorithms. Journal of Clinical Neuroscience, 42, 186-192. Er, F., Goularas, D., & Ormeci, B. (2017). A novel Convolutional Neural Network Model Based on Voxel-based Morphometry of Imaging Data in Predicting the Prognosis of Patients with Mild Cognitive Impairment. Journal of Neurological Sciences, 34(1). Labombarda, F., Castelnuovo, S., Goularas, D., & Sirtori, C. R. (2015). Status and potential clinical value of a transthoracic evaluation of the coronary arteries. Cardiovascular ultrasound, 14(1), 5. Berge, C., & Goularas, D. (2010). A new reconstruction of Sts 14 pelvis (Australopithecus africanus) from computed tomography and three-dimensional modeling techniques. Journal of Human Evolution, 58(3), 262-272. Berge, C., Clarke, R. J., Goularas, D., & Kibii, J. M. (2007, December). The Australopithecus pelvic morphology (Stw 431 and Sts 14): The taxonomic evidence. In Journal of Morphology (Vol. 268, No. 12, pp. 1048-1049). Div John Wiley & Sons Inc, 111 River St, Hoboken, Nj 07030 USA: Wiley-Liss. Goularas, D., Djemal, K., & Mannoussakis, Y. (2007). 3D image modelling and specific treatments in orthodontics domain. Applied Bionics and Biomechanics, 4(3), 111-124. National Journals D. Goularas, M. Ozkaya, T. Serif, and S. Goren, “A General Framework for Teaching Software Engineering and Improving Collaboration Skills in Multidisciplinary Teams”, Journal of Aeronautics and Space Technologies, vol. 14, no. 2, pp. 155-167, Jul. 2021. C. Gemirter and D. Goularas, "A Turkish Question Answering System Based on Deep Learning Neural Networks", Journal of Intelligent Systems: Theory and Applications, vol. 4, no. 2, pp. 65-75, Sep. 2021, doi:10.38016/jista.815823 Goularas, D., Atalay, Onbasioglu, B., Safak, E.K., Okyar, & Soydan, A., Sanal Cerrahi Uygulamalarinda Görsellestirme Altyapisi, TBV Bilgisayar Bilimleri ve Mühendisligi Dergisi, vol. 4, pp. 107-116, 2011 International Conference Papers: Akkaya C., Goularas D. Evaluation of Machine and Deep Learning Methods for Fraud Detection. (2024). In 2024 8th International Symposium on Multidisciplinary Studies and Innovative Technologies, (ISMSIT), Ankara, Turkey. IEEE. (Accepted) Avci U.I., Goularas D., Korkmaz E.E, Deveci B. (2024). Information Extraction from Scanned Invoice Documents Using Deep Learning Methods, In 2024 International Conference on Image Processing Theory, Tools and Applications (IPTA) , Rabat, Morocco. IEEE. (Accepted) Çebi I. & Goularas D. (November 2021). Location analysis for a grocery store based on a multi-objective optimization approach, 2021 International Conference on Computer, Information and Telecommunication Systems (CITS), pp. 1-5, Istanbul, Turkey. IEEE. Goularas, D., & Çınar, K. (2019, November). Optical Music Recognition of the Hamparsum Notation. In 2019 Ninth International Conference on Image Processing Theory, Tools and Applications (IPTA) (pp. 1-7), Istanbul, Turkey. IEEE. Kamis, S. & Goularas D. (2019, August). Evaluation of deep learning techniques in sentiment analysis from Twitter data. In 2019 International Conference on Deep Learning and Machine Learning in Emerging Applications (Deep-ML) (pp. 12-17). Istanbul, Turkey. IEEE. Tatlılıoğlu, S., & Goularas, D. (2019 April ) A Data Analysis and Behavior Model for Study of Consumer Service in the Financial Sector. In 2019 3rd International Symposium on Innovative Approaches in Scientific Studies, 4(1), (pp.180-183), Ankara, Turkey. ESMRMB 2016, F. Er, D. Goularas, B. Ormeci, "A voxel based morphometric approach to the progression of atrophy in Alzheimer's disease". In 33rd Annual Scientific Meeting, September 2016, Vienna, Austria. Akti, G., & Goularas, D. (2012, October). Frequency component extraction from color images for specific sound transformation and analysis. In 2012 3rd International Conference on Image Processing Theory, Tools and Applications (IPTA) (pp. 253-258). Istanbul, Turkey IEEE. Onbasıoğlu, E., Atalay, B. A., Goularas, D., Soydan, A. H., Şafak, K. K., & Okyar, F. (2010, January). Visualisation of burring operation in virtual surgery simulation. In Engineering Systems Design and Analysis (Vol. 49156, pp. 805-812), Istanbul, Turkey. Goularas, D., Djemal, K., & Mannoussakis, Y. (2007). Adaptive triangulation method for the management of the topology changes in 3D boundary reconstruction. In 2007 IEEE International Multi-Conference on Systems, Signals Devices, Communication and Signal Processing, 3. Hammamet, Tunisia Goularas, D., Djemal, K., Mannoussakis, Y., & Cosenza, C. (2006). Specific 3D Treatment in Orthodontics Domain. In International Symposium on Robotics and Automation (ISRA 2006), 1, (pp. 606-609), San Miguel Regla Hidalgo, Mexico. Goularas, D., Djemal, K., Manoussakis, Y., & Cosenza, C. (2005). DIVITOR Client/Server Application DIgitization, VIsualisation and Treatment in ORthodontics. In Proceedings of The Fifth International Network Conference 2005 (INC 2005) (pp. 369). Samos, Greece. National Conference Papers: Goularas, D., Serif, T., & Gören, S. (2018). Αn Interdisciplinary Approach In Software Engineering: Engineers Meet Designers. 12. Ulusal Yazılım Mühendisliği Sempozyumu (UYMS'18). Istanbul, Turkey Communications: MEF 2007, Berge C., Clark R.J., Goularas D. & Kibii J.M. (2007). Morphométrie du pelvis des Australopithèques: l’évidence taxonomique, Morphométrie et Evolution des Formes, Mars 2007, Paris. GALF 2005, Berge, C., Goularas, D. (2005). Reconstitution 3D du bassin Sts 14 (Australopithecus africanus) : Implication évolutive et fonctionnelle, Groupe des Anthropologues de Langue Française (GALF). Toulouse, Mai 2005. CP 1995, Goularas, D., Papanikolaou, G., & Bachtzetzis, S., (1995). Regeneration and rise of archaeological sites with the help of multimedia technology. Improving the cost effectiveness of Multimedia for education and training. Commet Program. Thessaloniki- Greece, Juin, 1995.
