Laszlo Kovacs

Laszlo Kovacs

lkovacs3_web2_standard_sizeLászló Kovács received his MSc degree in computer science from the University of Debrecen, Hungary, in 2010. In 2010 he started his PhD studies in Computer Science at the University of Debrecen, Hungary. Currently he is a doctorate candidate at University of Debrecen, Faculty of Informatics. During his studies he won several grants and prizes (XXX-th National Scientific Students’ Associations, special prize; Best poster award, 3rd place: High Performance Computing with Mathematical Applications; Scientific Publication of the Year Prize, University of Debrecen; Campus Hungary Short term mobility grants; “János Csere Apáczai” PhD scholarship of the National Excellence Program; “Ányos Jedlik” PhD candidate scholarship of the National Excellence Program). He was included as Ph.D researcher in several projects (OTKA, NK101680, Mathematical modelling of clinical observations for improved melanoma detection, HURO/1001/283/2.3.1, Cross border academic development of an image-based recommendation system for regional educational purposes, TECH08-2 grant of the Hungarian National Office for Research and Technology (NKTH), DRSCREEN – Developing a computer-based image processing system for diabetic retinopathy screening), wherein his main role was to research and take part in the creation of prototypes. Mainly he worked with majority voting systems and the high performance demands. He is a member of the Institute of Electrical and Electronics Engineers (IEEE), John von Neumann Computer Society (Hungary) and of the Hungarian Association for Image Analysis and Pattern Recognition. He has authored/co-authored 2 journal papers, 7 conference papers and 1 poster. His main interest lies in discrete mathematics, digital image processing, and high performance computing.

During the Summer of HPC program he will work with the researcher team of IT4I National Supercomputing Center at VSB – Technical University of Ostrava. He is taking part in the project titled “Medical image segmentation and visualization” (MEDIVIS). The main goal is creating algorithms to process and visualize Compute Tomography (CT) images in 3D using HPC. He looks forward to the project since this is a good chance to gain experience in the field of HPC, moreover the results could be used in real practice of medicine to support the doctors during patient treatment.

Laszlo is very interested in sports. In the last years he has taken up several hobbies such as regular swimming and aquascaping.

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