ITU - Contact:
Department of Computer Engineering
Office: 2218 / Phone: +90 212 285 7460
34469 Maslak, Istanbul / Turkey
EPFL - Contact:
Signal Processing Laboratory (LTS5)
Office: ELD 231 / Phone: +41 21 69 34663
CH-1015 Lausanne / Switzerland
Dr. Hazım Kemal Ekenel is a Professor at ITU Department of Computer Engineering, where he directs the Smart Interaction and Machine Intelligence Technologies (SiMiT) Lab. He is also with the Signal Processing Lab (LTS5) of EPFL as a host professor.
His aim is to leverage computer vision, machine learning, and deep learning techniques in order to build interactive and intelligent systems that ease people's lives and enhance their social interactions. He also focuses on assistive technologies for people with disabilities and healthcare applications.
He has over fifteen years of experience in computer vision and machine learning with a focus on face analysis and human perception. He has published more than 100 peer reviewed publications in prestigious international journals, conferences, and workshops in the related fields, which have received over 2800 citations. His h-index is 28.
His research has been funded through several funding bodies -the European Commission under the framework programmes, Scientific and Technological Research Council of Turkey (TUBITAK), German Research Foundation (DFG), German Federal Ministry of Education and Research (BMBF), German Academic Exchange Service (DAAD), French National Research Agency (ANR), French Agency for Innovation (OSEO), British Council- as well as by the industry -Avea, Turk Telekom, LC Waikiki, and Tüpraş.
Dr. Ekenel strongly believes in international cooperation. Besides his extensive research collaborations in Europe, he also has connections in the USA and Asia. He had a short stay in Pittsburgh, where he conducted joint research with his colleagues from Carnegie Mellon University (CMU) and published together. He also co-supervised a MS thesis with his colleagues from CMU and General Motors. In addition, he had stays in Hong Kong and Tokyo to establish research connections with the interACT partners Hong Kong University of Science and Technology (HKUST) and Waseda University in the domain of face processing, which has led to several joint publications.
His research achievements have been recognized by several national and international foundations. He has received Parlar Foundation Research Award and Outstanding Young Scientist (BAGEP) Award from the Science Academy, Turkey in 2018. He is a recipient of the Young Scientist of the Year Award 2016 from Bilim Kahramanları Derneği. He was awarded with a young investigator grant within the framework of the Excellence Initiative of German Research Foundation (DFG) in 2010, with which he has founded the Facial Image Processing and Analysis Group in Karlsruhe Institute of Technology (KIT), Germany. In 2008, he has received the EBF European Biometric Research Award for his contributions to the field of face recognition during his doctoral studies and, with his team, the Best Demo Award at the IEEE International Conference on Automatic Face and Gesture Recognition.
NEW! July 2019 - Our paper, titled, SROBB: Targeted Perceptual Loss for Single Image Super Resolution, is accepted @ Intl. Conf. on Computer Vision (ICCV) 2019.
NEW! July 2019 - Our paper, titled, Benefiting from Multitask Learning to Improve Single Image Super-Resolution, is accepted for publication @ Neurocomputing.
NEW! July 2019 - Our paper, titled, FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents, is accepted @ ICDAR-OST 2019.
NEW! July 2019 - Our paper, titled, Thermal to Visible Face Recognition Using Deep Autoencoders, is accepted @ IEEE Intl. Conf. on Biometrics SIG (BIOSIG) 2019.
NEW! July 2019 - Our paper, titled, Personalized Training in Fast-Food Restaurants Using Augmented Reality Glasses, has received the best paper award @ Intl. Symp. on Educational Technology 2019.
June 2019 - Our paper, titled, Learn to Synthesize and Synthesize to Learn, is published @ Computer Vision and Image Understanding.
June 2019 - Our paper, titled, DermoNet: Densely Linked Convolutional Neural Network for Efficient Skin Lesion Segmentation, is published @ EURASIP Journal on Image and Video Processing.
June 2019 - Our paper, titled, Exploring Factors for Improving Low Resolution Face Recognition, is presented @ CVPR Workshop on Biometrics 2019.
June 2019 - Our paper, titled, Multimodal Age and Gender Classification from Profile Face Images, is presented @ CVPR Workshop on Biometrics 2019.
June 2019 - We have organized the Unconstrained Ear Recognition Challenge (UERC) 2019 @ ICB 2019.
May 2019 - We have organized the FA4ADAS: Face Analysis for Advanced Driver Assistance Systems @ FG 2019.