Nicolás Guil Mata

Nicolás Guil Mata

Full Professor

Scalable AI Computing group (SAIC)
Department of Computer Architecture
University of Malaga, Spain.

Contact Information
  • E-mail: [email protected]
  • Phone: +34 952133327
  • Office: 2.2.48 (E.T.S.I. Informática), Málaga, Spain

I received a B.S. in Physics from the University of Sevilla, Spain, in 1986 and a Ph.D. in Computer Science from the University of Málaga in 1995. I am a full professor in the Department of Computer Architecture at the University of Málaga, and currently I am the Head of this Department. I belong to the UMA Institute of Mechatronics Engineering and Cyberphysics Systems.

Because of my research activity, I have published more than 120 papers (over 45 in JRC Journals) and per-reviewed International Conferences and established links with other international groups such as the Robotics Institute at the University of Carnegie-Mellon, Coordinated Science Laboratory at the University of Illinois at Urbana Champaign, and THOTH group at INRIA in Grenoble. I have also evaluated 28 projects for the ANEP Spanish agency.

My research has been uninterruptedly founded by national research projects within the group “Parallel algorithms and architectures” (registered as TIC-113 in the official catalog of research groups of Andalusia, Spain). I have also led five regional projects and participated in several EuroHPC Benchmark Access Calls, where I received nine positive evaluations of different projects, being awarded with computing time in the most potent European supercomputers such as Leonardo, Vega, LUMI-G, and Meluxina.

I have also been involved in technology transference activities. Thus, I was founding partner of the company Tedial (Tecnologias Digitales Audiovisual) in 2000, where I performed advising tasks in developing video processing tools until 2012. I have also participated in other technology transfer activities with companies such as AERTEC, AirBus, Torresol, and SeaBery.

Research Interests
My research is focused on two main topics:
  • High-Performance Computing (HPC): Regarding the first field, I have been working with accelerators in the last few years, mainly discrete GPUs, proposing new application scheduling techniques to increase the execution performance of a batch of applications.
  • Computer Vision and Deep Learning Optimization: In the Computer Vision field, I have been developing models for people identification using specific biometrics such as gait and object detection. Also, I have been working on optimizing deep learning models to be deployed in embedded heterogeneous architectures for inference to reduce complexity, latency, and power consumption.

Publications (154)

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