Eduard Llobet

IEEE Senior Member, PhD from the UPC-Barcelona Tech (1997). Full Professor of Electronics (2009). Distinguished Professor (2019). Group Leader with research interests in nanomaterials (metal oxide nanowires, 2D and 3D transition metal di-chalcogenides, functionalized graphene) and their integration in microsystems for detecting pollutant/hazardous gases at trace levels. From 2010 to 2014 he was the Director of the Centre for Research in Materials Engineering and Micro / Nano Systems (URV) and vice-president of the Spanish IEEE Sensor Chapter. President of the Spanish Network of Microsystems and Nanotechnology (IBERNAM). Co-author of over 250 peer-reviewed journal papers (h = 56), editor of 3 books, has given some 35 invited lectures at international conferences and led over 35 regional, national and international projects. Founder of the spinoff Green Smart Data. In 2012 he received the URV’s RQR award and the ICREA Academia award (in 2012 and 2018).

M.P. Pina

Is vice-President of the Spanish Network of Microsystems and Nanotechnology (IBERNAM) and deputy director of the Instituto de Nanociencia y Materiales de Aragón (CSIC-Unizar). She has co-authored over 80 peer-reviewed journal papers, 7 book chapters and holds 4 patents. Principal investigator of over 30 regional, national and international competitive projects and research contracts (a dozen related to Security and Defence Applications). Her research efforts are focused on the development of microdevices for the molecular recognition of hazardous compounds and toxic chemicals at trace level where pre-concentration, orthogonal detection and identification using SERS Spectroscopy (Surface Enhanced Raman Spectroscopy) are carried out. Her main contributions involve the use of ordered nanoporous materials, i.e. zeolites, M41S and MOFs, in combination with metallic nanostructures to promote synergetic effects. This line arises from the need to create multi-sensor platforms that are not only sensitive, robust, fast and low cost, but also highly selective, capable of discriminating the analyte of interest in complex mixtures.