Cardoso, J. M. R.

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Name
Cardoso, J. M. R.
 
Variants
Cardoso, João Manuel
Cardoso, J. M. R.
Cardoso, J.
 
Unidade de I&D
 
Email
jmrcardoso@uc.pt
 
ORCID
 
Ciência ID
 
Scopus Author ID
 
Researcher ID
 
Status
UC Researcher
Biography
J. Cardoso background is in Nuclear Electronics Instrumentation and Processing for X and gamma ray spectroscopy. His PhD (2006), demonstrated that optimal signal analysis of X-ray semiconductor detector signals can be achieved for specific noise profiles of the front-end acquisition electronics. It was applied in the data processing of the Charge Radius Experiment with Muonic Atoms at Paul Scherrer Institut (PSI), in Switzerland, (the CREMA collaboration) with very high impact (Nature in 2010, Science in 2013 and high rank journals). In 2007 became involved in the XENON collaboration (Dark Matter Direct Search Experiment) which aims at directly detect the fraction of dark matter in the Universe by means of a xenon dual-phase ultra-pure time projection chamber installed in Laboratori Nazionali del Gran Sasso of INFN, Italy. His successful participation yielded the role of workgroup co-leader of the Slow Control System for the XENON1T phase, operating with 3.5-ton of liquid xenon. Currently is involved in the conception/commissioning of control system for 8-to-10 ton fiducial volume up-scale (XENONnT) and projecting the control for the ultimate detector for dark matter search with the DARWIN project. Since 2009, J Cardoso is deeply interested in data acquisition and processing, to the development of innovative instrumentation and methodologies in biomedical applications. He started by developing innovative non-invasive hemodynamics instruments for individual health condition assessment and population characterization, leading to the supervision of 4 PhD thesis concluded in 2013 (1), 2014 (2) and 2016 (1), and more than 29 MSc thesis. He also proposed a new method for reducing the rehabilitation time of cochlear implanted young patients by using eye-tracking techniques in open-field (as PI of a FCT funded project) and awarded with a University Ignite fund. Other ongoing works under his supervision include sleep apnea diagnosis with machine learning techniques using vectorized human snore sound analysis and optoelectronic single-pixel instrumentation for bio-marker distribution assessment. He is co-author of 112 papers (82 in Q1 journals) in international peer-reviewed journals, having published 41 since 2018. Considering WoS metrics, his works have over 10k citations with an h-index of 40 (i-10 of 46) (June 2023). Amongst the scientific production accomplished after his PhD works, J Cardoso co-authored 5 papers in major multidisciplinary journals, Nature (2010, 2019) and Science (2013, 2015 and 2016), while 30 papers were published in high impact factor journals in the area of Physics (Phys.Rev.Lett/Phys.Rev.D) and 8 in the area of Biomedical Engineering. Since 2013, J Cardoso concluded the supervision of 1 post-doctoral researcher, 4 PhDs (finished and approved with highest mark) and currently is co-supervisor of 2 PhD students (in biomedical engineering and computer science). He also supervised 44 MSc thesis (14 in the last 5 years, several with companies co-supervision, plus 3 currently underway). Considering thesis juries by invitation, J Cardoso participated in 6 PhD and 51 MSc juries. He currently holds 1 patents in co-authorship with one his former PhD students, under the scope of non-invasive continuous blood pressure assessment. He was the PI of a project that uses single-pixel techniques for imaging biomarkers (240k) and he is involved in 2 other projects that were assigned with similar funding: XENON1T/nT project (SAICT 28557 @20% time) and biomedical optical coherence elastography for imaging retina mechanical properties (SAICT 32162 @20% time). He collaborations with CITEUC (instrumentation for MAG-GIC PTDC/CTA-GEO/31744/2017), with Chemistry-Physics (VIBSonCancer development of instrumentation for Raman spectroscopy). He is Associate Professor from the Univ of Coimbra and is group leader for the biomedical engineering strand of LIBPhys.
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