În data de 23 octombrie 2019, ora 14 în Amfiteatrul K1 din cladirea Bibliotecii UPT s-a desfăşurat conferinţa “Surfing the Technology Wave 2019 and Algorithm-Hardware Co-Design - Industry Perspective” susţinută de Sergiu Goma, IEEE Distinguished Industry Speaker.
Conferinţa a fost organizată sub egida ASTR Filiala Timisoara, Chapter-ul IEEE SSIT Timişoara şi Departamentul Calculatoare şi Tehnologia Informaţiei al UPT.
IEEE Distinguished Industry Speaker, Sergiu Goma: Surfing the Technology Wave 2019 and Algorithm-Hardware Co-Design - Industry Perspective
Abstract: Discussing current trends in silicon technology influencing image sensor design - stacking silicon is a way to mitigate moving technology to a next silicon node while maintaining the trend of density increase in integrated circuits. Several examples of stacked image sensors will be discussed. Stacking image sensors with computational elements can be an optimized way of implementing computational imaging but a next step would be a joint optimization of the layers in this stack - this is a new approach to implement computational image elements: algorithm-hardware co-design. One implementation example of hardware-algorithm co-design is based on stacking a programmable hardware architecture with a BSI image sensor resulting in a customizable monolithic computational sensor.
Short Bio: Sergio Goma (SM) received the B.S., M.S. and PhD degrees from the “Univesitatea Politehnica Timisoara” University, Timisoara, Romania, in 1994, 1995 and 1998 respectively, all in computer engineering. Since 2008, Dr. Goma is the Senior Director of Technology at Qualcomm Technologies where he leads the R&D and standardization group for imaging. Previously, Dr. Goma was the Principal Member of Technical Staff at AMD and prior to AMD, Dr. Goma was the Architect of the imaging processing solution present in the Imageon series of chips at ATI.
Dr. Goma has received the 2014 Society for Imaging and Technology Service Award for serving as the 2014 Electronic Imaging Symposium Chair and for leading the efforts for IS&T sole management of the Symposium beginning in 2016.
Dr. Goma’s research interests include programmable hardware architectures and hardware accelerators for imaging, computational photography and integrated imaging sensors, image quality, image processing and computer vision.
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