GED+PS

CV Prof. Miguel Alcañiz Fillol

Miguel holds a Ph.D. in Electronic Engineering and is a tenured professor in the Department of Electronic Engineering at the UPV; he has led the GEDPS research group since 2016.

His research focuses on the development of electronic systems for various applications, such as electronic tongues, corrosion monitoring systems for reinforced concrete, neurotransmitter measurement systems, electrostimulation systems for cell regeneration, and others.

He has participated in 28 competitive projects at the national, regional, and university levels, as well as in 9 non-competitive projects; he has served as Principal Investigator on 5 of them (5 in the last 5 years). He is a party to 4 patents, 1 of which has a licensing agreement. He is the co-author of 50 articles in indexed international journals.


Prof. Eduardo García  Breijo​ 


Associate Prof. Luis Gil Sánchez​ 


Associate Prof. Rafael  Masot Peris​ 


Associate Prof. Francisco Javier Ibañez  Civera​ 


Associate Prof. Laura  Contat  Rodrigo​ 


Associate Prof. Patricia Noguera Murray​ 


Associate Prof. Cristian Ariel Olguín Pinatti​ 


Assistant Prof. Javier Monreal Trigo 


Roberto  Vengut  Tro 


Vicent Beltrán Morte 


Marcos Cantero García​ 


Serigraphy and impressed electronics​.

Therapeutic systems for biomedical applications.

Bio-microelectronics.

Biosensors.

Monitoring the condition of reinforced.

Sistemas electrónicos de detección y terapéuticos para aplicaciones intracorporales, extracorporales y wearables

  • Ref: PID2024-155683OB-C44
  • Period: 2025–2028
  • PI: Miguel Alcañiz

Nuevos materiales, sondas y sistemas electrónicos para la detección de drogas y aplicaciones biomédicas

  • Ref: PID2021-126304OB-C44
  • Period: 2022–2026
  • PI: Miguel Alcañiz

Sistema multi-sensor de bajo coste basado en matrices de transistores de efecto de campo (FET) funcionalizados para aplicaciones biomédicas

  • PI: Miguel Alcañiz
  • Ref: GV/2020/214
  • Period: 2020–2021

Inductor-Based Biosensors for Real-Time Monitoring in the Liquid Phase

  • Biosensors (2026)
  • DOI: 10.3390/bios16020079

Machine-learning-guided design of electroanalytical pulse waveforms

  • Digital Discovery (2025)
  • DOI: 10.1039/D5DD00005J

SeroWare: An Open-Source Software Suite for Voltammetry Data Acquisition and Analysis

  • ACS Chemical Neuroscience (2025)
  • DOI: 10.1021/acschemneuro.4c00799

LC biosensors (Bio-LC): new resonant sensors for direct detection of airborne viruses

  • Talanta (2025)
  • DOI: 10.1016/j.talanta.2025.128192

Maximizing Electrochemical Information: A Perspective on Background-Inclusive Fast Voltammetry

  • DOI: 10.1021/acs.analchem.3c04938
  • Analytical Chemistry (2024)