Difference between revisions of "Main Page"

From Daniele Grosso
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I live in continuous [[Daniele_Grosso:Interesting_courses|learning]] mode: here some usefull (to me) stuff: [[Daniele_Grosso_notebooks|notes]], [[Daniele_Grosso_howto|howto]], [[Daniele_Grosso_links|links]], [[Daniele_Grosso_web links|web links]], [[Daniele_Grosso_lists|lists]] and [[Daniele_Grosso_software|software]] sections.
 
I live in continuous [[Daniele_Grosso:Interesting_courses|learning]] mode: here some usefull (to me) stuff: [[Daniele_Grosso_notebooks|notes]], [[Daniele_Grosso_howto|howto]], [[Daniele_Grosso_links|links]], [[Daniele_Grosso_web links|web links]], [[Daniele_Grosso_lists|lists]] and [[Daniele_Grosso_software|software]] sections.
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To know more about '''my last preprints''', please visit one of the following:
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'''the Collatz-ion'''
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* https://doi.org/10.5281/zenodo.14217848 [[A Simple binary analysis of the Collatz Conjecture]]
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* https://doi.org/10.5281/zenodo.14219218 [[Numerical Analysis of Collatz Sequences Using Binary Representation]]
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* https://doi.org/10.5281/zenodo.14252942 [[Statistical Analysis of Binary Length Evolution in Collatz Sequences]]
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* https://doi.org/10.5281/zenodo.14543277 [[A Comprehensive analysis of the Collatz conjecture]]
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* https://doi.org/10.5281/zenodo.14711287 [[Divergent binary length growth in the 5x+1 problem]]
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* https://doi.org/10.5281/zenodo.14778057 [[Analysis of the 7x + 1 problem as a boundary case]]
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* https://doi.org/10.5281/zenodo.14789415 [[Analysis of the kx+1 Problem for k greater than 7]]
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* https://doi.org/10.5281/zenodo.14696864 [[Exploring the Collatz Conjecture with an arduino collatzer]]
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* https://doi.org/10.5281/zenodo.14852361 [[The arduino based K-Collatzer A Hardware Implementation for Exploring the 5x+1 and kx+1 sequences]]
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'''Physics'''
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... (to come soon)
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'''AI'''
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* https://doi.org/10= An (almost) ''updated'' list from common search engines =
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* [https://www.researchgate.net/profile/Daniele_Grosso/publications from Researchgate]
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* [http://unige-it1.academia.edu/DanieleGrosso from Academia.edu]
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* [https://scholar.google.it/citations?user=Aor5MDEAAAAJ&hl=it from Google scholar]
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* [https://iris.unige.it/simple-search?query=daniele+grosso#.WG4pebGZPcM from IRIS].5281/zenodo.14499715 [[Coevolution of AI and Humans. Challenges and opportunities]]
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* https://doi.org/10.5281/zenodo.14499896 [[Principles for a Balanced Coevolution]]
 
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You may '''contact me''' at the following address:
 
You may '''contact me''' at the following address:

Revision as of 10:20, 26 February 2025

Welcome to my website!

I am a physicst. I work at the Department of Physics, University of genoa.

An overview of my training and former positions can be found in brief biography and/or CV.

My main interests are in Research and Development, Didactics and the Societal impact of Research and Didactics.

Areas of interests are mainly (but not only): medical physics, imaging, statistics, data analysis, computational physics, physical computing, astrophysics, nuclear physics, robotics, vision, ML,AI

Information on my activities can be found here: projects, publications, teachings.

I live in continuous learning mode: here some usefull (to me) stuff: notes, howto, links, web links, lists and software sections.


To know more about my last preprints, please visit one of the following:

the Collatz-ion

Physics ... (to come soon)

AI


You may contact me at the following address:

Daniele Grosso (Ph.D)
LTD LAB (Low Temperature Detectors LAB)
DIFI (Department of Physics, University of genoa)
INFN (INFN section of Genoa) 
v. Dodecaneso 33, 16146 Genova (GE) - IT 
Tel. +39.347.496.5037
Skype: daniele.grosso.genova
daniele.grosso@unige.it, daniele.grosso@ge.infn.it
daniele.grosso.genova@gmail.com