Project Support from TÜBİTAK to İTÜ Faculty Members

8 projects from İTÜ are granted support under TÜBİTAK Scientific and Technological Research Projects Support Program.

Scientific evaluation process of projects proposed to Research Support Programs Directorate (ARDEB) in the 1^stperiod of 2020within the scope of TÜBİTAK 1001 –Scientific and Technological Research Projects Support Program was completed and announced to the public by TÜBİTAK. 8 projects conducted by İTÜ faculty members are granted support under the program.

It was announced that a total of 1,964 project applications were made to the Support Program in the 1^stperiod of 2020. As a result of its evaluation, TÜBİTAK found 213 of these projects eligiblefor support. Among the accepted projects, there are 8 projects whose principal investigators are Istanbul Technical University faculty members. 

Projects granted support under TÜBİTAK 1001 whose principal investigators are Prof. Dr. Lütfiye Durak Ata, Prof. Dr. H. Serdar Akyüz, Prof. Dr. M. Serdar Çelebi, Prof. Dr. Lale Tükenmez Ergene, Prof. Dr. Hilmi Berk Çelikoğlu, Assoc. Prof. Dr. Mustafa Berke Yelten, Assoc. Prof. Dr. Ayça Sayı Yazgan, andAssoc. Prof. Dr. Işın Erer are listed as follows:

 

Principal Investigator: Prof. Dr. Lütfiye Durak Ata 

İTÜ Informatics Institute, Information and Communications Engineering

Project Title: Ultra-Connectivity for 6G Wireless Communications: UAV and Intelligent Reflective Surface Enabled Heterogeneous Network Design

Project Description: In this project, we propose a reliable, energy-efficient and effective vertical heterogeneous network (VHetNet)architecture. We aim to reveal the energy and spectral efficiency and physical layer security of VHetNet with unmanned aerial vehicles (UAVs) and intelligent reflecting surfaces (IRS) in terms of trajectory, location, and height. Additionally, communication channel estimation for UAV-assisted VHetNets and analysis of UAV trajectory design based on battery consumption model will be performed within the scope of the project. First of all, it is planned to make performance analyses for VHetNet using both classical and deep learning-based methodswith communication simulation considering peripheral effects of the channel. In battery consumption model, Markov fluid queue theory will be used. Then, UAV-assisted communication network analyses will be evaluated in terms of network clustering approach, UAV location, and behavior optimization. In the proposed project, UAV-based network scenarios will be discussed in order to maximize the coverage area, trajectory, location, height, and spectral efficiency. Energy-efficient signal processing approaches will be determined for VHetNets that also include IRSs.Finally, a graphical user interface design will be studied and a simulation library will be created to present the theoretical results of the analytical inferences and system simulation results.

 

Principal Investigator:Prof. Dr. H. Serdar Akyüz 

İTÜ Faculty of Mines, Geological Engineering Department

Project Title:Paleoseismologyand Tectonic Geomorphology of Central Anatolian Fault ZoneBetween Kayseri-Altınyayla (Sivas)

Project Description:The Central Anatolian Fault Zone (CAFZ) is an active fault zone and it is known that major earthquakes occurred on it in historical periods. In this project, through paleoseismological fault excavationsto be carried out in the section of CAFZ between Kayseri-Altınyayla (Sivas), the earthquake history of the fault segments in the region will be investigated. In addition, offset morphological structures on the faults in the study area will be determined, they will be aged by cosmogenic surface aging methods and geological slip rate will be found.

 

Principal Investigator: Prof. Dr. M. Serdar Çelebi

İTÜ Informatics Institute, Computational Science and Engineering Department

 

Project Title:Computational Hemodynamic Modeling of ProstheticHeart and Venous Valves 

    Project Description: In our project, it is aimed to create more realistic designs of prosthetic heart valves (PHV) and venous valves (PVV) with a computational hemodynamic model based on hemorheological reality.For the first time in the literature, the effects of shear stresses of blood in valve and valve design will be transferred to the model more realistically by combining two-phase blood flow (as plasma and RBC phases) with FSI technique. In addition, it is important to determine the stasis formation that will cause possible blood coagulation on and behind the valves both during the operation of the venous valves and during the movement of the mitral and aortic valves with a patient-specific computer model.In our study, 3D hemodynamic flow markers (left ventricular end-diastolic volume [EDV], end-sistolic volume [ESV], stroke volume [SV], cardiac output [CO], ejection fraction [EF]) obtained from 4D Cardiac Magnetic Resonance Imaging (CMR) will be compared with data obtained from simulations and patient-specific quantitative model verification will be done accompanied by the evaluation of the cardiologists and radiologists in our team. In this way, existing index models for Valvular Heart Disease (VHD) and Chronic Venous Insufficiency (CVI) based on person-specificsimulation will be calculated and compared with clinical CMR hemodynamic markers, and a new hemodynamic marker/index model for VHD will be proposed. Another goal of our study is to enable 3D bioprinting technology to print valves that will be developed specifically for patients with biocompatible materials.In this way, it will be possible to use valves that are optimized for the patient instead of standard produced valves.

 

 

Principal Investigator: Prof. Dr. Lale Tükenmez Ergene

İTÜ Faculty of Electrical and Electronics Engineering, Department of Electrical Engineering 

Project Title: Innovative Real-Time Model Identification and Control System Designfor White Goods Applications of PMaSynRM

 

Project Description:  In this project, an innovative electric motor control system is proposed. This system combines data-based model identification and parameter updating with the modern control methods Model Predictive Control (MPC) and Feedback Linearization (FBL). While data-based model identification is used to determine all parameter uncertainty, disturbanceand nonlinearities encountered in the control of the motor, MPC and FBL control systems will be used to generate control signals for high performance control of the motor in line with an innovative purpose function.

 

Principal Investigator: Prof. Dr. Hilmi Berk Celikoğlu

İTÜ Faculty of Civil Engineering, Department of Civil Engineering

Project Title:Effects of Cooperative Vehicle Dynamics on Traffic Flow Modeling: Simulation and Control

Project Description: In this study, a real-time and integrated traffic management system will be developed in order to improve traffic congestion by integrating vehicle-vehicle and vehicle-infrastructure systems into adaptive cruise control and vehicle groups into cooperative adaptive cruise control. The study focuses on detailed analysis of the effects of cooperative vehicle dynamics on traffic flow, especially in terms of modeling and control of traffic flow.

 

Principal Investigator:Assoc. Prof. Dr. Mustafa Berke Yelten

İTÜ Faculty of Electrical and Electronics Engineering, Electronics and Communication Engineering

Project Title:Design and Implementation of a Mixer-First Receiver for Cryogenic Communication Electronics

Project Description: In this project, a mixer-first receiver structure for space communication electronics will be developed. For this purpose, mixer, transition-impedance amplifier, voltage-controlled oscillator and analog-digital converter circuit blocks that will operate in the 2-3 GHz band will be designed. After the integration of the blocks, the circuit will be produced and the system performance will be determined as a result of the experimental characterization of the obtained prototype.

 

Principal Investigator: Assoc. Prof. Dr. Işın Erer

İTÜ Faculty of Electrical and Electronics Engineering, Electronics and Communication Engineering

Project Title:Efficient On-Site Clutter Removal and Target Detection with Low-Cost, Mobile Ground Penetrating Radar System

Project Description: In the project, on-site detection of underground targets will be carried out with a mobile radar system consisting of a System on Chip – SoC implemented on FPGA integrated to a low-cost compact radar module.Measurements taken from the mobile system outside the anechoic chamberwill be noisier compared to the laboratory measurements performed with vector network analyzers. Therefore, fast clutter removal and target detection methods that are based on dictionaries learned from data and deep learning, robust to noise, and suitable for real-time operation will be developed.

 

Principal Investigator: Assoc. Prof. Dr. Ayça Sayı Yazgan

İTÜ Faculty of Science and Letters, Department of Molecular Biology and Genetics

Project Title:Investigation of Immune Response ofCOVID-19 Diagnosed and RecoveredPediatric Patients to SARS-Cov2 

Project Description:Our project aims to determine how long the protective immunity against the SARS-CoV-2 virus will continue in children who have recovered from COVID-19.The information obtained as a result of our project will contribute to the determination of the probability of recovering children to be re-infected and to understand whether the COVID-19 vaccination will be protective for a long time.

You can access the full list of supported projects from the link below:

https://tubitak.gov.tr/sites/default/files/20689/1001_2020_1_degerlendirme_sonuclari.pdf