Associate Professor
(+34) 91 3944372
Office 227, Physics Faculty
Contact Alberto A. Del Barrio

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 Arithmetic, High-Level Synthesis (HLS) and Deep Neural Networks (DNNs). He is also working in Quantum and Analog Computing, Video Processing and eHealth modelling and prediction techniques. He has collaborations with the Northwestern University of Evanston, the University of California at Irvine as well as the University of California at Los Angeles.

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), CODES+ISSS, IEEE/IFIP EUC, SummerSim (General co-chair, Track and Publicity Chair) and SpringSim (Proceedings Chair) conferences. 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.

E-mail: abarriog [at] ucm.es

You can also find me at

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PhD. Thesis

Integration of Next Generation Arithmetic in Parallel Architectures based on RISC-V. Mario Alonso Núñez (2025-)

Design of Algorithms and Compilers for QML with Neutral Atoms Technology. Fernando Zotes Flores (co-advised with Guillermo Botella, 2025-)

Exploring Quantum Solutions for Advanced Financial Challenges: Current Developments and Future Prospects. Inmaculada García Hernández (co-advised with Guillermo Botella, 2024-)

Application of Quantum Computing and Classical Quantum-Inspired Computing to Solving Financial Problems. Escolástico Sánchez (co-advised with Guillermo Botella, 2023-)

Development of a Toolchain for the Optimization of Circuits in Quantum Processors. Jefferson Andrés Bravo Montes (co-advised with Guillermo Botella and Francisco García Herrero, 2023-)

Hardware Platform for the Study of Posit Arithmetic. David Mallasén Quintana (co-advised with Manuel Prieto, 2022-2024, Summa Cum Laude)

Posit Arithmetic and its Applications. Raúl Murillo Montero (co-advised with Guillermo Botella, 2021-2024, Summa Cum Laude, Awarded with the Best Thesis Award in Jornadas SARTECO’24)

An Analog Cluster for Accelerating Neural Networks. Daniel García Moreno (co-advised with Guillermo Botella, 2020-2025, Summa Cum Laude)

Application of Emerging Quantum Technologies to Financial Problems. Ginés Carrascal de las Heras (co-advised with Guillermo Botella, 2020-2025, Summa Cum Laude)

An Intelligent Baby Monitoring System for the IoT Era. Hesham Fahmy (co-advised with Guillermo Botella and Sherif Fadel, 2018-2024, Notable)

Hiding Information for the H265/HEVC standard. David Rodríguez Galiano (co-advised with Guillermo Botella and David Cuesta, 2017-2021, Summa Cum Laude)

E-Health Data Processing Methodologies for the Categorization of Therapeutic Responses in Migraine Patients. Franklin Parrales (co-advised with José Ayala, 2016-2020, Sobresaliente)

Hybrid Architecture for the video compression H265/HEVC standard. Guillermo Fernández (co-advised with Guillermo Botella, 2015-2019, Summa Cum Laude. First PhD Thesis ever at UCM with Mention of Industrial Doctorate)

MSc. Thesis

CS Master

Deployment of Neural Networks through PYNQ. Wenbo Sun (Sept. 2023, 5, AP)

LibelulaX aeronautical autopilot. Antonio Vázquez Pérez (co-advised with Guillermo Botella, July 2022, 9, SB)

Low-cost system to detect people who wear a mask and their temperature through neural networks. Vinicio José Valbuena (co-advised with Guillermo Botella, July 2021, 9, SB)

Leveraging Posit Arithmetic in Deep Neural Networks. Raúl Murillo Montero (co-advised with Guillermo Botella, Jan. 2021, 10, MH, Awarded with High Honors, Best MSc. Thesis in the SARTECO Conference)

Inference acceleration in Deep Neural Networks on low-cost and low-consumption devices. Juan Mas Aguilar (co-advised with Guillermo Botella, Jan. 2020, 10, SB, Nominated for High Honors)

Smart Management of I/O in Advanced Logistics Centers. Iván Aguilera Calle (co-advised with Guillermo Botella, Sept. 2019, 9.5, SB)

Cluster of FPAAs to Recognize Images using Neural Networks. Daniel García Moreno (co-advised with Guillermo Botella, Sept. 2019, 9, SB)

A Domotic Application in the IoT Context. Javier Emilio Luis Longo Imedio (co-advised with Guillermo Botella, Jan. 2019, 6.5, AP)

Creation of a Scientific Computing Cluster based on Low-Cost and Low-Power FPGAs. Mariano Hernández (co-advised with Guillermo Botella, June 2017, 10, SB, Nominated for High Honors)

A Complete Blood Classifier Using a Low-Cost FPGA, MATLAB and Simulink. Daniel Fariña (co-advised with Guillermo Botella, June 2017, 8, NT)

Improvement and Classification of biomedical images using Automatic HDL Code Generation tool. Hermenegildo Fabregat (co-advised with Guillermo Botella, June 2017, 8, NT)

Optimizing Mechanisms for the H.265/HEVC Preprocessing Stage. Fernando Sánchez Pastor (co-advised with Guillermo Botella, Sept. 2016, 8.2, NT)

A HW/SW Platform to Manage Fireworks. Jesús Martín (Awarded with Silvia Del Pino HW Design Prize, June 2016, 9.5, SB)

A Wireless Sensor Network for the Smart Cities. José Olavo (co-advised with José Miguel Montañana, Sept. 2015, 5, AP)

Support System to Help Parkinson’s Patients Read Books. Franklin Parrales (June 2015, 8, NT)

IoT Master

Smart Greenhouse Using ESP-MESH and AWS. Miguel Ángel Pérez Díaz (co-advised with Guillermo Botella, Jul. 2020, 7, NT)

Deployment of a Wireless Sensor Networks based on ESP8266 chips. Alda Martín Muñoz (co-advised with Guillermo Botella, Jan. 2020, 8, NT)

Intelligent Street Lighting System. Emanuel Georgian Stanescu (co-advised with Guillermo Botella, Jan. 2019, 7, NT)

Highschool Teaching Master

Analysis about duplicity of contents between vocational training courses within the IT branch Pablo Ortiz (June 2023, 6.5, AP)

The Teaching of Computational Thinking through the Development of Video Games Miguel Ángel Gremo (June 2021, 7.5, NT)

From Arduino to the Electricity Bill. Digitalization in the Learning Process Carlos Ruiz Jiménez (July 2020, 7, NT)

Methodological Strategies Based on the Gamification of Technology Teaching with Non-Motivated Students. Antonio Martín Joven (June 2019, 8, NT)

Posters and Free Software: Exploring new Learning Resources Using ICT. Marta De Las Heras (Highschool Teaching Master, June 2018, 8.5, NT)

Motivation in the Classroom through Multimedia Contents. Ana Isabel Del Pino (June 2018, 8, NT)

BSc. Thesis

Quantum Computing applied to Chemistry. Colomán Samprón (Degree in Computer Science, co-advised with Guillermo Botella, Sept. 2024, 9, SB)

Quantum Implementation of NP Problems modeled as Ising Hamiltonians. Daniel Gómez (Double Degree in Physics and Mathematics, co-advised with Guillermo Botella, July 2024, 10, SB)

Fabricating a RISC-V Core by means of Open-Source Tools. Ilya Lapshin (Degree in Electronic Communications Engineering, co-advised with David Mallasén, July 2024, 5.7, AP)

Quantum Implementation of NP Problems modeled as Ising Hamiltonians. Jorge González (Degree in Physics, co-advised with Guillermo Botella, June 2024, 8.6, NT)

Quantum Annealing for Optimization Problems. Daniel Yllana (Degree in Computer Science, co-advised with Guillermo Botella, June 2024, 9, SB)

Practical Implementation of LiveChess2FEN. David Rodríguez, Alonso Vives (Double Degree in Computer Science and Business Administration and Management, co-advised with David Mallasén, June 2024, 8.5, NT)

Fabricating a RISC-V Core by means of Open-Source Tools. Ilya Lapshin (Degree in Computer Science, co-advised with David Mallasén, Sept. 2023, 9, SB)

Classes of Quantum Complexity. Javier Lobillo (Double Degree in Computer Science and Mathematics, co-advised with Ángelo Lucía, Sept. 2023, 9, SB)

Quantum Computing applied to Finances. Cintia María Herrera (Degree in Computer Science, co-advised with Guillermo Botella, Sept. 2023, 9, SB)

Quantum Implementation of NP Problems modeled as Ising Hamiltonians. Jaime Navarro (Degree in Physics, co-advised with Guillermo Botella, July 2023, 9.7, SB)

Quantum Implementation of NP Problems modeled as Ising Hamiltonians. Xiaoye Wu (Degree in Physics, co-advised with Guillermo Botella, June 2023, 9.7, SB)

Floating-point extensions for the SweRV EH1 core. Alejandro Perea (Degree in Computer Engineering, co-advised with Daniel Chaver, June 2023, 9.5, SB)

Study and Application of Quantum Optimization Algorithms. Rebeca Alarcón (Degree in Computer Science, co-advised with Guillermo Botella, June 2022, 9, SB)

Real-time chess piece recognition software. Ángel Molina, Carlos Plaza and Katya Rengel (Degree in Computer Science, co-advised with Manuel Prieto, Jan. 2022, 10 (SB), 8 (NT), 8 (NT))

P-IBEX 2.0: Posit Accelerator based on the IBEX core. Ignacio Francisco Corrales (Degree in Computer Science, co-advised with Guillermo Botella, Sept. 2021, 8, NT)

Acceleration techniques for chess piece recognition. David Mallasén Quintana (Double Degree in Computer Science and Mathematics, co-advised with Manuel Prieto, June 2020, 10, MH, Awarded with High Honors, NVIDIA project of the month, Feb. 2022, Echoes from Seeed Studio)

P-IBEX: Posit Accelerator based on RISC-V platform. Jaime del Rey and Ángel Cruz (Degree in Computer Science, co-advised with Guillermo Botella, June 2020, 8, NT)

Design of Quantum Algorithms and Circuits. Jonathan J. Jiménez, Amalia Regueira and Jairo J. Sánchez (Degree in Computer Science/Software Engineering, co-advised with Guillermo Botella, June. 2020, 6.5, AP)

Hardware Acceleration in Cybersecurity Environments. Jorge Burgaleta, Luis Muñoz and Diego Maestre (Degree in Computer Science, co-advised with Guillermo Botella, Sept. 2019, 6, AP)

Study of the Posit Number System: a Practical Approach. Raúl Murillo Montero (Double Degree in Computer Science and Mathematics, co-advised with Guillermo Botella, June 2019, 10, SB, Nominated for High Honors)

Quantum Functional Units Design: a Logarithmic Multiplier. Antonio Valdivia de la Torre (Double Degree in Computer Science and Mathematics, co-advised with Guillermo Botella, June 2019, 10, SB, Nominated for High Honors)

Quantum Functional Units Implementation with Qiskit: a Logarithmic Multiplier. Daniel David Abellán Serrano (Degree in Computer Science, co-advised with Guillermo Botella, June 2019, 9.5, SB)

Quantum Computing Paradigm Proof of Concept: a Tools Comparison. Diego Martín Guzmán (Degree in Electronic Communications, co-advised with Guillermo Botella, June 2019, 7.5, NT)

RFID-based System for Sport Competitions. Alejandro Donaire and Rayner Tan (Degree in Computer Science, co-advised with Guillermo Botella, June 2018, 9, SB)

Driving Assisted by Drone with HW Support for Vision. Víctor Vicente (Degree in Computer Science, co-advised with Guillermo Botella, Sept. 2017, 9.5, SB)

Scipion Web: a Web Application for Processing 3DEM Images. José Gutiérrez (Degree in Computer Science, co-advised with José María Carazo, Sept. 2015, 10, SB)

Design Automation Tool. Ignacio Blanco, Enrique Campollo and Francisco de Borja Palazón (Degree in Computer Science, co-advised with Guillermo Botella, June 2014, 7, NT)

Software Emulator for Calculating Mersenne’s Primes. Cristina María Esteban and Pablo Cerro (Degree in Computer Science, June 2013, 10, SB)

Teaching Innovation Projects

• SUPERSONIC-V: deSarrollo de entornos virtUales Para dEspliegue de haRdware baSadO eN rIsC-V (PI, 2022-2023),
• K-R Hub: Knowledge Hub to promote the transition towards resilient cities and communities (WG5 and UCM node coordinator, 2021-2022, UNA Europa Seed Funding).
• EMPATIA: Practical quantum computing teaching for Computer science students: Architecture and programming (Collaborator, 2020-2021), PIMCD-2020-398
• TRANSFORM: Technology for teaching in disability scenarios based on artificial intelligence in real-time: Multichannel sign interpreter (Collaborator, 2019-2020), PIMCD-2019-209
• RECONNECT: Inclusive Adapted Practices for the Development of Emerging Tecnologies in ITC Teaching (Collaborator, 2018-2019), PIMCD-2018-315
• ALLIANCE: Framework for the Agile Development of RTL code oriented to Software Programmers (Collaborator, 2017-2018), PIMCD-2017-217
• Free Framework to Develop Applications in the IoT Scenario (PI, 2016-2017), PIMCD-2016-5
• Construction of a Graduate On-Line/Blended Learning Scheme Based on Inverted Class and Self-Learning (Collaborator, 2015-2016), PIMCD-2015-265
• Dynamic Architectures for Free Band Wireless Networks to Illustrate Transmission Concepts in “IoT” Applications (Collaborator, 2015-2016) PIMCD-2015-290
• Low Cost Software Receiver and Computerized Interface for the Practical Study of Radioelectric Communications (PI, 2014-2015), PIMCD-2014-18