As the Principal Scientist/Researcher on Ofinno’s Video Compression team, Damian primarily works on video compression standards as VVC, HEVC, and AV1, focusing on intra prediction optimization, screen content coding algorithms, and computational complexity reduction using Machine Learning models. Damian is an author of over 30 journals and conference papers in the field of image and video compression and five patent or provisional patents.
Before joining Ofinno, he was a professor at the Signal Processing department of the Universidad Rey Juan Carlos, and a researcher at research labs from Polytechnic University of Valencia and Polytechnic University of Madrid, Spain. He was invited to research stay at the Florida Atlantic University (FAU), Florida, U.S. Damian has also directed more than 10 Bachelor and Ph.D. Thesis and was Principal Investigator in six competitive R&D projects of both private and public funding.
In his stage in the industry, he was a member of international technical committees at the DVB (Digital Video Broadcasting), the EBU (European Broadcasting Union), and the DigiTAG (Digital Terrestrial Television Action Group).
Damian holds a B.S. and M.S. in Telecommunications from the Polytechnic University of Madrid in Spain and a Ph.D. in Technology information from the Castilla La-Mancha University.
