Ali Hamadi Dicko


My name is Dicko Ali Hamadi, I hold a PhD in Applied Mathematics and Computer Science from the University of Grenoble, France.

My thesis was on the construction of musculoskeletal systems for anatomical simulation under the supervision of the Professor François FAURE, the Professor and Neurosurgeon Olivier PALOMBI and the CNRS Researcher Benjamin GILLES.

I am actually in a postdoctoral position at the INRIA Rhone-Alpes laboratory, as a member of the IMAGINE team.

I’am working on the modelling and simulation of human body part to help the design and conception of medical devices. 

My research topics are :

  • Ontology based modeling
  • Anatomical modeling and simulation
  • Registration of anatomical models


Contact : ali-hamadi.dicko(at)inria(dot)fr

Adresse : 655 Avenue de l’Europe, 38330 Montbonnot-Saint-Martin

Téléphone 04 76 61 52 00

Research topic

Modelling and simulation of musculoskeletal system
simulation Modeling and simulation of the musculoskeletal system have many important roles to play in computer graphics, surgery assistance, study of movement and biomedical engineering in general way. These kind of applications motives us to work on this topic.Our main goal is to introduce a novel framework to model and simulate human body function for a specific person by using anatomical knowledge coupled to a sophisticated registration algorithm.

We also work on different representation of entities composed our body (muscles, bones, joint,skin …) to get the the most realistic simulation depending on the phenomenon we wishes to simulate

Modelling using anatomic database knowledge organized by an ontology
ontology Ontology can be defined as a structured specification of the concepts and semantic, intelligent relations in a field [Grüber (Stanford University)].

Knowing that we can represent the anatomical knowledge as a network of relations between entities. We define an anatomical ontology as a set of taxonomies where anatomical entities are organized as a formal vocabulary in data structures. Through this organization, it is easily processed by computers.

We use that anatomical ontology as a base describing our anatomy to model body part for simulation in order to ease and speed up the modelling and setup of our simulation. 

Registration methods
ontology Registration methods are the process of transforming multiple 3D datasets into the same coordinate system to align overlapping components of these sets.

In the context of our work, it much more represents the process which given a source and a target inputs, find a motion that optimally positions points on the source surface into the scene in which the target data lies.

We have some interest in registration methods since they greatly accelarate the creation of geometrical data required for the simulation setups. Being able to automate this process of creating anatomical data specific to an individual represents a great tool in the modeling process.



I also worked at the University Pierre Mendes France as a monitor. I taught computer science in licence 1 and licence 2 during school years 2011-2012 and 2012-2013.


Here is the list of my publications: