Research Projects

Our funded research in machine learning, 1D/2D/3D/4D signal processing, and IoT.

Current Active Projects

ONGOING

WiFi Based Activity Recognition and Human Count

Using wireless signals to detect human presence, count, and activity patterns without the need for wearable devices or cameras. This research focuses on privacy-preserving sensing technologies.

Completed Projects & Grants

Sustainable Urbanization with Innovative Technologies (SUIT)

TUBİTAK 1004 Platform - Smart Cities Initiative.

Graphical Modeling of Neural Signals

Newton Mobility Grant – University of York, UK.

Mapping Mathematical Learning Disabilities (Dyscalculia)

TUBITAK 214S069 - Circuit Models of Numerical Functions. 2015.

Mice-Mimic: Pain-Related Facial Expressions

TUBITAK 115E248 - Automatic Evaluation in Mice. 2015-2018.

Wireless System for EEG Motor Imagery

BAP-03-2016-003. 2016.

Deep Learning on Parallel GPUs

BAP-03-01-2016-002 - Artificial Neural Networks optimization. 2016.

Developmental Dyslexia & EEG

A.U. BAP 10B3030001 - Defining relations between linguistics and EEG. 2009-2013.

Automatic Target Detection (Infrared)

SAYP – Detection from Infrared Images with varying backgrounds.

Railroad Quality Control by Vision

TUBITAK 1505 - Real Time and Automatic Defect Detection.

Automatic Target Detection (Aerial)

AGÜDOS - Recognition from Aerial Images (HASAT).

3D Human Head Modeling

TUBITAK 1001 - Fusion of hard/soft tissue & photographic view.

Video Analysis for Security (HAVELSAN)

SANTEZ – HVAS System.

Personal Video Info Management

TUBITAK 1001 - Framework development.

ULISAR: Underwater Vehicle

TUBITAK 1001 - Multipurpose Automatic Underwater Vehicle.

Object Recognition in 3D Scenes

BAP 2008 – Segmentation and Categorization.

FPGA Stereo Algorithms

BAP 2009 - Implementation of Stereo Vision.

Stock Market Hypothesis Testing

BAP 2010 - Signal Processing applied to US/UK/Japan markets.

Facial Soft Tissue Modeling

BAP 2008 - Inverse problem solution & optimization.

Active Reconstruction for 3D Modelling

BAP 2005.

Camera Calibration (Indoor)

BAP 2004 - For Active 3D Reconstruction.

Active Robot Vision

BAP 2002.

Face Recognition and Modelling

BAP 2002.

Active Vision in Virtual Environment

AFP 2000 - Navigation in 3D Virtual Environment.

REAL Lab

Bridging the gap between simulation and reality using Reinforcement Learning.

Contact Us

A-403, Dept of EEE, METU
Ankara, Turkiye

reallab@metu.edu.tr