TRADIGO GIUSEPPE

Contract at the IRPI-CNR, Institute for Research and Hydrogeological Protection - National Research Council, Rende, IT, in a project about the development of a web-based software for remote sensing and environmental data management for acquiring, processing and rendering sensor data, from a distributed GSM/satellite sensor network, remotely monitoring landslide fronts on the territory

He designed and implemented a geographic information system for clinical data called GeoMedica, which helps physicians with the discovery of correlations among data (e.g. clinical warehouse) and locations (e.g. polluting sites, radio sources, coast lines).

He has been leading the Research & Development activities between Relatech S.P.A., an ICT Company, and its research Partners, actively participating in the design and planning of a number of innovative and industrial research projects including microservice orchestration, data integration and artificial intelligence platforms

He participated to a scientific collaboration under the supervision of Prof. C. Indolfi, Director of the Hemodynamics Dept. at University of Catanzaro, IT, where he designed and implemented a software tool for the pre-implant stent deployment analysis, supporting angioplastic surgery procedures. The system is currently in use in the surgery room of the hemodynamics department

He participated to the COFIN project, working on the design and implementation of MS-Analyzer, a software tool for mass spectrometry data pre-processing

He participated to the FIRB (enabling software platforms for high performance grid computing) project, where he designed and implemented a tool for managing sensor data streams in computational grid environments on Globus, and enabling platform for Grid Computing

He participated to the IX and X International CASP (Critical Assessment of protein Structure Prediction) competitions in 2010 and 2012, with a joint project between the AmMBio Lab. at University College Dublin, leaded by Prof. Gianluca Pollastri, and the Bioinformatics Lab. at University of Catanzaro. The XXStout system is an ensemble of 2D recursive neural network models trained to predict multi-class protein contact maps In particular he investigated on the use of Carbon-α, Carbon-β, 2- and 4-classes contact maps and the use of distance maps to improve three-d protein structure prediction for both template-based and ab-initio proteins. The proposed system has been presented at the CASP9 international conference held in Asilomar, Pacific Grove, California in December 2010. The XXStout server ranked third among the 32 participating ab initio servers in CASP 2010. The same server scored first among the native predictors in CASP 2012

He participated to the P2P-CKMS-SSDM (collaborative models and technologies supporting distributed clinical systems) project, funded by POR European funds, at Univ. of Catanzaro, IT, Dept. of Medicine and Clinical Medicine. He participated to the design and implementation of SIGMCC, a peer-to-peer technology-based software system enabling information exchange among oncology departments

He participated to the “LOGICA” research project, at University of Catanzaro, IT, Dept. of Science and History of Law, where he designed and implemented a software prototype for continuous sensor data streams as a component of a broader system for the management of the Gioia Tauro commercial harbor

He participated to the “MESSIAH” (MEthodologieS, tools and ServIce for underwater ArcHeology) project at University of Catanzaro, IT, Dept. of Experimental and Clinical Medicine

In collaboration with ICS S.r.l., a company offering technical and professional consultancy in renewable energy, environmental technology and engineering, he cured and taught a course on “The use of drones in emergency for the management of fires and the control of territory” at the Consortium for Land and Water Sanitation for the Basins of Tirreno Cosentino, Praia a Mare, IT.

Invited lecture at the Ph.D. Course in Medicinal Chemistry by Prof. Stefano Alcaro with a talk entitled “Machine Learning approaches for contact maps prediction in CASP experiment” on the protein folding problem with the use of protein contact maps predicted with recursive neural networks

Postdoc at DIMES, Department of Computer Science, Modeling, Electronics and Systems Engineering, University of Calabria, IT, with a grant from the European project “PON01 02833 CARDIOTECH”, with title “Modelling and Integration of Biological and Clinical Data to support decisional processes in cardiology” where he designed and implemented a software system able to acquire and perform differential blood pressure signal analysis in the hemodynamics surgery room

Postdoc at DIMES, Department of Computer Science, Modeling, Electronics and Systems Engineering, University of Calabria, project: “PON BA2Know - Business Analytics to Knowledge”

Postdoc at DIMES, Department of Computer Science, Modeling, Electronics and Systems Engineering, University of Calabria, project: “PRIN 2010 Data-Centric Genomic Computing (GenData 2020)”, where he participated to the European project PRIN Data-Centric Genomic Computing (GenData 2020) where he designed and implemented a predictor for G-Quadruplex DNA/RNA structures

Research & Development Director at South Ventures Inc., a Silicon Valley startup, where he was responsible for the company’s innovation. He wrote projects and won European Community grants, worth 300K euros, to build the Analytics system of the Soundtracker geo location-based radio service and coordinated the research, planning and implementation phases of the project

Research contract at University Magna Graecia of Catanzaro, Department of Surgical and Medical Science on the project: “Spatial Data Analysis Algorithms and GIS Systems”

Research contract at the ICAR-CNR, Institute for High Performance Computing and Net- working - National Research Council, Rende, IT, project on Computational Grid Environments

Research contract at the ICAR-CNR, Institute for High Performance Computing and Networking - National Research Council, Rende IT. He contributed to the definition and implementation of modules in a Globus-based software prototype for grid computing and sensor data streams

Research on various aspects of the SARS-CoV-2 (Covid-19) pandemics

Visiting Research Fellow at Epidemiology Department, University of Florida, project: “Endotype discovery in prostate cancer and multi-domain analysis of age-related comorbidities”, where he worked on a project on Prostate Cancer where co-morbidity network models are created from a large database of phenotypical and genotypical features with GWAS (Genome-Wide Association Study) analysis. He has also submitted grants, both to NFS (National Science Foundation) and NIH (National Institutes of Health) calls, for the study of particular DNA/RNA foldings, called G-quadruplexes, which are promising binding sites for drugs and can act as molecular devices to inhibit genes related to known pathologies