- Güzeliş, M. Seçmen, N. Özkurt, 119C171 High-technology product development for diagnostic and detection purposes from sensor data using machine learning and signal processing methods, TUBITAK 2244 Industrial PhD program.
- Güzeliş, Development of the Machine Learning Based Joint Forecasting-Scheduling Method for Massive Access, Tübitak 1001. (Director-Volkan Rodoplu)
- Güzeliş, Development of a New Deep Learning Algorithm for Training Humanoid Robots, Tübitak 1003. (Director-Ayşegül Uçar)
- Güzeliş, Design and Applications of Online Robust Adaptive Controllers Ensuring Stability”, Supported by Scientific and Technological Research Council of Turkey, under grant TÜBİTAK 1001-116E170, 2019-2017. (As a researcher)
- Güzeliş, “Smart Supply Chain Management towards Industry 4.0”, Supported by Newton-Katip Çelebi Fund British Council- The Scientific and Technological Research Council of Turkey under grant TÜBİTAK 1601/2018/2 Industry-Academy Partnership Programme, 2020-2019. (As a researcher)
- Güzeliş, Developing a web-based apparel recommendation platform and apparel design algorithm using genetic search and incrementally learning neural classifier ensemble,” Supported by Scientific and Technological Research Council of Turkey, under grant TÜBİTAK 1001- 214M389, 2017-2015. (As a researcher)
- Güzeliş, Segmentation of Abdominal Organs from MR Images using Multi-level Hierarchical Classification System and Its Integration to a Medical Visualization,” Supported by Turkish Scientific and Technological Research Council of Turkey, under grant EEEAG 112E032, 2014-2012. (As a researcher)
- Güzeliş, Medical Volume Segmentation with Radial Basis Function Networks and Its Integration to a Medical Visualization Software Used in Clinical Applications”, Supported by Turkish Scientific and Technological Research Council of Turkey, under grant EEEAG 104E178, 2008-2005
- Güzeliş, Design of Binary Dynamical Associative Memory”, Supported by Dokuz Eylül University Research Fund, 2004-2002
- Güzeliş, New Methods for Data and Dimension Reduction”, Supported by Dokuz Eylül University Research Fund, 2003-2001
- Güzeliş, Signal Processing by Radial Basis Function Networks”, Supported by Turkish Scientific and Technological Research Council, under grant EEAG-217. 1999-1997
- Güzeliş, Musical Signal Processing by Artificial Neural Networks”, Supported by İstanbul Technical University Research Fund, 1996-1995
- Güzeliş, Image Processing by Cellular Neural Networks”, Supported by Turkish Scientific and Technological Research Council, under grant EEEAG-103, 1995-1993
- Demirkıran, Clothing Design Algorithm Based on Genetic Search and Incremental Learning Artificial Neural Network Classifier Communities and Development of a Web Based Clothing Recommendation Platform, Tübitak Project. (Director-Arzu Vuruşkan)
- Demirkıran, Metro Tunnel Media File Display Demo System Prototype Development Project, Higher Education Institutions Scientific Research Project.
- Karabulut, DYO Paint Production and Filling Line Optimization and Automation Project, Tübitak Project.
- Karabulut, Analysis and Increasing Efficiency of Material Handling Operations in Just-in-Time Production Environment, Ministry of Industry Project.
- S. Ünlütürk, Designing an Intelligent Automated Vehicle Storage and Towing System, Institutional Links Grants.
- S. Ünlütürk, Programs for Prediction of Model Appreciation Using Artificial Intelligence in the Ready-to-Wear Industry, Tübitak 1505.
- S. Ünlütürk, TUBITAK (Project No: 9150181) “ITEA3-ASSUME: Affordable Safe Secure Mobility Evolution”, 2017-2018, European Union.
- Özkurt, Wavelet Transform and Deep Learning Based Heart Arrhythmia Detection Method and FPGA Implementation for Remote Patient Monitoring Devices, Tübitak 1001.
- Özkurt, Occupational Health and Safety Platform for Instant Tracking of Workers at Construction Sites, Higher Education Institutions Scientific Research Project.
- Özkurt, Adaptive modeling of hand gestures for the brain computer interface, Higher Education Institutions Scientific Research Project.
- Rodoplu, MARIE CURIE FELLOWSHIP: Quality of Service for the Internet of Things in Smart Cities via Predictive Networks, H2020.
- Rodoplu, Development of the Machine Learning Based Joint Forecasting-Scheduling Method for Massive Access, Tübitak 1001.
- Rodoplu, NATIONAL SCIENCE FOUNDATION Grant: Automated Design of Medium Access Control Protocols.