Communications Signal Processing and Networking Center

We are committed to providing the highest quality industry-driven education and research in CoSiNC group. We value applied research and committed to collaborate with the industry and government institutions.

CoSiNC research interests are on wireless communication systems, advanced signal processing techniques at the physical and medium access layer, and cross-layer design/optimization for networking adaptivity and Quality of Service (QoS) control. These are extremely exciting areas that have grown significantly over the past couple of decades.  Wireless communication (and in general wireless access) is becoming an integral part of many other research and applications, making it a truly multidisciplinary research area. Applications like non-invasive medical imaging and monitoring, medical and vehicular radar, wireless sensors for monitoring environments and for homeland security, reliable communications between robots for robotics applications, controlling and communication between unmanned vehicles, and communication in battlefields for military applications are some examples that show the interdisciplinary nature of the wireless communications.

Computational Cameras and Vision Research Lab

The Computational Cameras and Vision Research Lab (CCV Lab) focuses on (1) computational photography, (2) tools and methods for computer vision and image processing applications, and (3) inverse problems in image/video processing.

Computational Photography:

Computational photography enables exceeding the limitations of traditional cameras and paves way for new imaging applications.  Computational photography uses the computational resources, may involve multiple images and modifications to sensors, optics, and illumination.

Tools and Methods:

We develop tools and methods for computer vision and image processing applications. These are not necessarily specific to a certain application and can be used in a variety of computer vision and image processing applications, including low-level applications such as denoising and high-level applications such as object recognition.

Inverse Problems:

Inverse problems involve modeling of the imaging process and estimating the input image from degraded observation(s). The restoration process is essential in many applications, including digital photography, security/surveillance systems, medical imaging, and HDTV.

Director: Prof.Dr. Bahadır Kürşat GÜNTÜRK

Computer Vision and Artificial Intelligence Lab

The Computer Vision and Artificial Intelligence Lab (Vision AI) focuses on (1) tools and methods for computer vision and image processing applications, (2) inverse problems in image/video processing, (3) autonomous drones and vehicles, and (4) other applications of machine/deep learning.


Prof.Dr. Bahadır Kürşat GÜNTÜRK

Prof.Dr. Hasan Fehmi ATEŞ

 Innovative Polymer Nanotherapeutics Research Group

Welcome to Innovative Polymer Nanotherapeutic (IPONT) Research Group. The main focus of research carried out in the IPONT Lab is design and development of ideal polymeric carries for the cellular delivery of RNA and DNA for therapeutic purpose, the preparation of smart polymeric nanoparticles or platforms for control dual-drug delivery, development of new theranostics and improving biocompatibility and bioactivity of smart polymeric materials for desired biomedical applications. We follow a research track that includes design and synthesis of polymer nanotherapeutics, evaluation of their biological activities and crying these results to animal experiments to find a cure for life-threatening disease.

Director: Assoc.Prof.Dr. Yasemin YÜKSEL DURMAZ

Advanced Computational Biophysics Lab for Designing Targeted and Safe Therapeutic Molecules

 The main focus of Sensoy`s Lab is to understand the underlying molecular mechanisms of biologically relevant processes, determination of allosteric regions involved in the mechanism and design effective therapeutic molecules to modulate the function of the system. To do so, we make use of widely-used computational tools such as molecular dynamics (MD) simulations, homology modeling, molecular docking, free energy calculations, virtual screening, enhanced sampling techniques such as metadynamics, accelerated MD, steered MD, etc. We make close collaborations with biochemists, molecular biologists, biophysicists and medicinal chemists to provide them a molecular-level understanding of their results as well as to test our working hypotheses in vitro and in vivo.

Director: Asst. Prof. Dr. Ozge ŞENSOY

 Healthcare Systems Modeling and Simulation Group

 The Healthcare Systems Modeling and Simulation Research Group focuses on providing a foundation for modeling and simulation of healthcare systems and applications of Operations Research in Healthcare domain.

Director: Prof.Dr. Hakan TOZAN 

Neuroprosthetics Research Group

Our goal is to develop neurotechnologies to restore lost motor functions in paralyzed individuals. We use electrophysiology, voltammetry, electrical stimulation and mathematical modeling to understand how sensorimotor information is encoded and learning is achieved in the central nervous system of the rodents. We use computational neuroscience and machine learning techniques in order to develop adaptive and closed-loop neuroprosthetic systems.
Director: Asst. Prof. Mehmet KOCATÜRK