El-Cezeri Cybernetics and Robotics Laboratory Research Group

• Machine learning
• Deep Learning
• Biometric Recognition
• Hyperspectral Imaging
• Image Processing
• Artificial Intelligence
• Artificial Neural Networks
• Pattern Recognition
• Robotics
• Virtual reality
• Augmented Reality
• Food Safety
• Precision Agriculture
• Autonomous Vehicles
• Modeling and Simulation

• Teknofest Robotaksi-Binek Otonom Araç Yarışması
• Fıstık Sınıflandırma Sistemi
• Gıdalarda Aflatoksin Tespiti
• Open Jazari Library
• SİU-BAP, "Otonom Araç Yazılımı Geliştirme Projesi (Cezeri Campus Car)"

• TUBITAK ARDEB, 1001, 104M569,"Robotlarda Görme ve Ses Algılama Becerilerinin Dinamik Çevre Şartlarında Geliştirilmesi", (2007)
• TÜBİTAK ARDEB, 1005, 113E620,"Siirt Fıstığının Bilgisayarlı Görü Sistemi Kullanılarak Otomatik Olarak Sınıflandırılması", 2013-2015
• TÜBİTAK ARDEB, 1003, 113E040,"Karma Gerçeklik (Mixed Reality) Teknolojisi ile Eğitmenlerin Eğitilmesi Projesi", 2013-2016
• TÜBITAK TEYDEB 1512, 2150154,"Bilgisayar Destekli Fıstık Sınıflandırma Sistemi", 2016-2017
• SİU-BAP, SİÜ-FEB-21 ,"İHA İmgelerinden Bilgisayar Görüsü Kullanılarak Ağaç Sayısı Kestirimi"", 2017-2018

• Ataş, M., Yardımcı Y., Temizel, A., "Aflatoksinli Biberlerin Hiperspektral Görüntülerinin Sınıflandırılmasında Yeni Yaklaşımlar", Dokuz Eylül Mühendislik Fakültesi Fen Bilimleri Dergisi. 12(3), (2010).
• Ataş, Musa, Yardimci, Yasemin., Temizel, Alptekin. "A New Approach to Aflatoxin Detection in Chili Pepper by Machine Vision", Computers and Electronics in Agriculture, Volume 87, p. 129-141.(2012) http://dx.doi.org/10.1016/j.compag.2012.06.001
• Doğan, Y., Ataş, M. and Özdemir, C. "A new approach for plotting raster based image files," 2014 22nd Signal Processing and Communications Applications Conference (SIU), Trabzon, 2014, pp. 1027-1030. doi: 10.1109/SIU.2014.6830407
• Ataş, M., Dogan, Y. and Ataş, İ., "Chess playing robotic arm," 2014 22nd Signal Processing and Communications Applications Conference (SIU), Trabzon, 2014, pp. 1171-1174. doi: 10.1109/SIU.2014.6830443
• Ataş, M., Doğan, Y., Ataş, İ., "Fast Weighing of Pistachio Nuts by Vibration Sensor Array", ICACTE (2015), Berlin.
• Doğan, Y. and M. Ataş, "Prediction of adaptive exposure time in hyperspectral bands for industrial cameras," 2015 23nd Signal Processing and Communications Applications Conference (SIU), Malatya, 2015, pp. 657-660. doi: 10.1109/SIU.2015.7129910
• Ataş, M. and Doğan, Y. "Adaptive High Dynamic Range," 2015 23nd Signal Processing and Communications Applications Conference (SIU), Malatya, 2015, pp. 411-414. doi: 10.1109/SIU.2015.7129846
• Ataş, M., Doğan, Y., "Classification of Closed and Open Shell Pistachio Nuts by Machine Vision", ICAT'2015, (2016), Antalya.
• Ataş, Musa. "Open Cezeri Library: A novel java based matrix and computer vision framework." Computer Applications in Engineering Education 24.5 (2016): 736-743. http://dx.doi.org/10.1002/cae.21745
• Ataş, Musa, et al. "Use of interactive multisensor snow and ice mapping system snow cover maps (IMS) and artificial neural networks for simulating river discharges in Eastern Turkey." Arabian Journal of Geosciences 9.2 (2016): 1-17. DOI: 10.1007/s12517-015-2074-2
• Ataş, Musa. "Fıstık sınıflandırma sistemi için Siirt fıstığı imgelerinden gürbüz özniteliklerin çıkarılması." Dicle Üniversitesi Mühendislik Dergisi (2016), Cilt:7, Sayı:1, Sayfa:93-107.
• Ataş, M., Doğan, Y., "Detection of Aflatoxin Signature with Hyperspectral Imaging", IDAP'2016, (2016), Malatya.
• Doğan, Y., Ataş, M. "Classification of Siirt and Antep Pistachio nuts based on Computer Visio", IDAP'2016, (2016), Malatya.
• Ataş, Musa. "Hand Tremor Based Biometric Recognition Using Leap Motion Device," in IEEE Access, vol. PP, no. 99, pp. 1-1. doi: 10.1109/ACCESS.2017.2764471
• Ataş, Musa, Mehmet İrfan Yeşilnacar, and Ayşegül Demir Yetiş. "Novel machine learning techniques based hybrid models (LR-KNN-ANN and SVM) in prediction of dental fluorosis in groundwater." Environmental Geochemistry and Health (2021): 1-15.
• Yetis, Aysegul Demir, Mehmet Irfan Yesilnacar, and Musa Atas. "A machine learning approach to dental fluorosis classification." Arabian Journal of Geosciences 14.2 (2021): 1-12.