Department: Arquitectura de Computadores y Automática

Faculty: Informática

Area: Computer Architecture and Technology

Research group: ARTECS Arquitectura y tecnología de sistemas informáticos/ Architecture and Technology of Computing Systems

Email: abarriog@ucm.es

Personal web: https://artecs.dacya.ucm.es/artecs-team/alberto-a-del-bar...

Doctor by the Universidad Complutense de Madrid with the thesis Utilización de unidades especulativas en síntesis de alto nivel 2011. Supervised by Dr. M. Carmen Molina Prego, Dr. Román Hermida Correa, Dr. José Manuel Mendías Cuadros.

Alberto A. Del Barrio received the M.Sc. and the PhD. degrees in Computer Science from the Complutense University of Madrid (UCM), Spain, in 2007 and 2011, respectively. Since mid 2021, he is an Associate Professor of Computer Science at UCM (tenured, civil-servant). His main research interests include Approximate and New Generation Arithmetic, High-Level Synthesis (HLS) and Deep Neural Networks (DNNs). He is also working in Quantum and Analog Computing. Some of his contributions can be found at: https://github.com/albertodbg/. He has collaborations with several recognized international centers, like Northwestern University of Evanston, the University of California at Irvine, the University of California at Los Angeles, or Dankook University. Dr. Del Barrio usually serves/has served as reviewer in TC, TETC, TCAS-I, TCAD, TCASAI, DSP, COMPELECENG, TRETS and TODAES journals, as well as DAC, ICCAD (TPC), DATE (TPC), ARITH (Publicity and Proceedings Chair), CODES+ISSS, or ISCAS. Furthermore, since 2019 he has become an IEEE Senior Member and since 2020 an ACM Senior Member. Dr. Del Barrio is currently the PI of the ASIMOV national project (PID2021-123041OB-I00), focused on the development of specialized architectures for scientific and technical applications. Furthermore, he was the PI of the PARNASO project, funded by the Leonardo Grants program by FBBVA, focused on deploying a HW platform for performing posit-based DNN training and inference.