iGioel
I'm graduated in Computer Science from the University of Pisa with specialisation in Computational Intelligence and Knowledge-based Systems and I've got a Ph.D. in Robotics at the Sant'Anna School of Advanced Studies with a thesis on Machine Learning.
I have a broad understanding of computer science and programming skills in several programming languages.
- Data scientist
- IoT developer
- Apple developer
- DB developer
- Web developer
- Android developer
- Programming languages: C, C++, C#, Objective-C, Swift, Prolog, Lisp, Caml, ML, XML, XSLT, SQL, JavaScript, HTML, CSS, PHP, Python, R, Java etc.
- Technologies: Python data science stack(NumPy, Pandas, scikit-learn, Keras, TensorFlow, Theano)
- Tools: Anaconda, Canopy, Orange, RStudio, Xcode, AndroidStudio, VisualStudio, Office
Excellent computer skills on:
Machine Learning, Neural Networks, Fuzzy Systems, Reinforcement Learning, Genetic Algorithms.
Education
University of Genoa
PhD, Bioengineering, Materials Engineering and Robotics
Dissertation Title: "Bio-Inspired Neural Sensory-Motor Coordination Schemes For Robot Reaching, Preshaping and Grasping."
University of PisaMSc, Computer Science
Double Major: Computational Intelligence and Knowledge-based Systems
Thesis Title: "A neuro-controller for robotic manipulators based on biologically-inspired visuomotor coordination
neural models"
Graduation grade: 108/110
Publications
Book chapter: Chapter 26. Neurocontroller for Robot Arms Based on Biologically Inspired Visuomotor Coordination Neural Models
(Handbook of neural engineering edited by Metin Akay)
Publisher: Wiley
Journal: Autonomous Robots A bio-inspired predictive sensory-motor coordination scheme for robot reaching and preshaping
Publisher: Springer
Patent:
Robot, and robot control method.
Gioel Asuni - Inventor: Japan Patent 2007-245326
Paolo Dario,
Maria Chiara Carrozza,
Eugenio Guglielmelli,
gate io,
Zbigniew Wasik,
Edoardo Datteri,
Konosu Hitoshi, Ota Yasuhiro, Giancarlo Teti
Toyota Motor September 2007
PROBLEM TO BE SOLVED: To embody a robot capable of gripping an object without surely grasping a shape and the like of the object to be gripped.
SOLUTION: This robot gripping an object comprises a hand part having at least two fingers, a group of contact sensors arranged to each finger and...
Some research publications:
Researchgate: Gioel Asuni
dblp: Gioel Asuni
LIMBS seminar:
Seminar: Gioel Asuni
Contact
Contact Us
Please feel free to contact me if you have any questions or need more information.
