Dr. sc. ing. Roberts Kadiķis

Roberts Kadiķis is a senior researcher and head of Robotics and Machine Perception laboratory at EDI, where he works since 2011. The main research areas are artificial intelligence, computer vision, and machine learning, while specific interests include deep neural networks (convolutional neural networks CNN, recurrent neural networks RNN, generative adversarial networks GAN), the learning of meaningful embeddings, explainable AI, generation of synthetic training data, bio-inspired learning systems, and computationally efficient vision algorithms. The applied experience of using deep models and other image processing tools includes the development of object detection, tracking, and image segmentation methods for tasks in transportation, mobility, biomedicine, and industry. The efficiency of the object detection algorithms was the main emphasis of the PhD thesis that was defended in the field of electronics at Riga Technical University in 2018.