I am currently a Ph.D. Student in Software Engineering at the Faculty of Informatics, Università della Svizzera Italiana (USI), in the beautiful city of Lugano - Switzerland. I also work as Research Assistant in the Reverse Engineering, Visualization, Evolution Analysis Lab - REVEAL research group. The supervisor of my academic and research activity is Prof. Dr. Michele Lanza, founder of the REVEAL research group and director of the Software Institute.
My research interests span from software development and its lifecycle to machine learning applied to software repository mining for code quality analysis.
I am also Teaching Assistant for the Fall semester in two courses for the Master in Software and Data Engineering: "Engineering of Domain Specific Languages" held by Prof. Dr. Andrea Mocci and "S&DE Atelier: Design 101" held by Prof. Dr. Michele Lanza.
I have many interests linked to software development and its tools. I am proficient with Java and C++. I enjoyed programming in Assembler in my youth. I'm currently (slowly) upgrading my python skills. I have a general tendency to solve problems by coding solutions that can adapt to new scenarios (because I'm lazy, if this makes sense). Even a simple browser game is a good excuse to develop a piece of software to automate the decision making process. This usually stops the fun in the game and transfers it in developing the tool...
I like to play different computer games but I'm particularly fond of simulations. Most of all racing and flying simulations. There's some magic in replicating the real world, every year more faithfully.
I've had my fair share of interests like photography and music but I would describe them as on/off short term passions.
Bachelor in Computer Science - 110/110 (Cum Laude) - University of Pisa, Pisa, Italy
Bachelor Thesis: plab: un sistema unificato per l'utilizzo di moduli CAMAC e VME
nella data acquisition per la fisica delle alte energie.
M.Sc. in Computer Science - 110/110 (Cum Laude) - University of Pisa, Pisa, Italy
M.Sc. Thesis: Surprise bayesiana in un modello bio-ispirato di visione bottom-up.
Un'implementazione real-time in CUDA per SABIAN.
- Cianferotti, L., Parri, S., Gronchi, G., Marcucci, G., Cipriani, C., Pepe, J., Raglianti, M., Minisola, S., & Brandi, M. L. (2018). Prevalence of Chronic Hypoparathyroidism in a Mediterranean Region as Estimated by the Analysis of Anonymous Healthcare Database. Calcified tissue international, 1-7.
- Gronchi, G., Raglianti, M., Noventa, S., Lazzeri, A., & Guazzini, A. (2016). Modeling the Overalternating Bias with an Asymmetric Entropy Measure. Frontiers in Psychology, 7, 1027.
- Corradi, F., Zambrano, D., Raglianti, M., Passetti, G., Laschi, C., & Indiveri, G. (2014). Towards a neuromorphic vestibular system. IEEE transactions on biomedical circuits and systems, 8(5), 669-680.
- Passetti, G., Corradi, F., Raglianti, M., Zambrano, D., Laschi, C., & Indiveri, G. (2013, October). Implementation of a neuromorphic vestibular sensor with analog VLSI neurons. In Biomedical Circuits and Systems Conference (BioCAS), 2013 IEEE (pp. 174-177). IEEE.
- Gronchi, G., & Raglianti, M. (2009). Modelling positive and negative recency effects with dynamically changing bias. Proceedings of the Joint Annual Convention of the Society for Mathematical Psychology and the European Mathematical Psychology Group (Amsterdam, 1-4 August).
If you need to contact me you can send an email to email@example.com
My office is located in Via La Santa 1, 6962 Lugano, Switzerland (3rd floor, room 3.05).