
Dr. Carlo Giuseppe Luigi Isnardi
Fähigkeiten und Kenntnisse
Werdegang
Berufserfahrung von Carlo Giuseppe Luigi Isnardi
- Bis heute
senior software engineer (embedded systems), physicist, meteorologist,
unemployed
Embedded Software Engineer (Device Drivers development and testing for Hardware components; design and development of control processes for GSM and UMTS telecommunications equipments) • Analysis of requirements and of software and SW-HW interfaces • SW Design • SW coding in C, C++, TNSDL, Assembler • Unit Test • Target tests • technical documentation • Technical management of problems detected by system test or found by the customer • “Agile” methodology
- 2 Jahre und 9 Monate, Apr. 1990 - Dez. 1992
Researcher and software developer
SIAP Sistemi
Two-year validation of the deterministic crop model Ceres-Maize for the simulation of growth and yield of maize crops and water soil balance. Simulations were performed by means of daily meteorological data, and of phenological/agronomic data related to 3 maize varieties (experimental parcels). Different types of soil and 2 irrigation levels were adopted as sources of variation. SW development for an agro-meteorological network and decision support system for crop irrigation: Design,coding (C,C++),debug
- 2 Jahre und 4 Monate, Dez. 1987 - März 1990
SW designer
Italtel Telesis
Software Engineer Actvities: • Analysis of requirements • Detailed system specifications: o Remote sensing of air and water quality o Supervisory Control And Data Acquisition (SCADA) systems for aqueducts o Agrometeorological networks • Software design • Technical management of external software providers (according to our specifications) • Study of elementary mathematical models (for example: frosts prediction)
Source coding of remote control and building automation software (in RTL/2 language)
Ausbildung von Carlo Giuseppe Luigi Isnardi
- 7 Jahre und 7 Monate, Sep. 1978 - März 1986
Physics
Università degli Studi di Milano
Meteorology/geophysics(grade 101/110) Experimental graduation thesis: “Influence of atmospheric tides on precipitations” at CNR. Two long time series of daily precipitation data were processed through statistical methods (Fourier transform, autocorrelation, moving averages).
Sprachen
Englisch
Gut
Deutsch
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