Adding new mentor and project URL

Author: grasseau

_gsocprojects/2018/project_HAhRD.md

@@ -3,11 +3,7 @@ project: HAhRD
 layout: default
 logo: HAhRD-logo.jpg
 description: |
-  HPC Algorithms for high Resolution Detectors (HAhRD). The aim of this project is to investigate new methods based on 
-  statistics, Machine Learning, and/or image processing for high resolution detectors or sub-detectors in HEP. In addition, 
-  the studied algorithms must have all the good properties (parallel and vectorized) to run efficiently on extensible 
-  processor and GPU platforms (High Performance Computing). This project will be achieved with a strong collaboration 
-  with physicists.
+  The [HAhRD](https://github.com/grasseau/HAhRD/wiki) (HPC Algorithms for high Resolution Detectors) aims to investigate new methods based on statistics, Machine Learning, and/or image processing for high resolution detectors of sub-detectors in HEP. In addition, the studied algorithms must have all the good properties (parallel and vectorized) to run efficiently on extensible processor and GPU platforms (High Performance Computing). This project will be achieved with a strong collaboration with physicists.
 ---
 
 {% include gsoc_project.ext %}

_gsocproposals/2018/proposal_HAhRD3D-Clustering.md

@@ -8,7 +8,7 @@ organization:
 ---
 
 ## Description
-The challenge of HAhRD project is to implement new algorithms to classify 
+The challenge of [HAhRD](https://github.com/grasseau/HAhRD/wiki) project is to implement new algorithms to classify 
 objects from 3D images-like coming from the data acquisition of the 
 [future sub-detector of CMS](https://cds.cern.ch/record/2020886). This 
 detector that contains about 6 million channels will be used to reconstruct 
@@ -29,7 +29,7 @@ classification performed by the DNN/CNN.
  * Train the CNN with different objectives (different kind of objects to 
    identify).
  * Optimize the efficiency of the whole process.
- * Extend the application to different DNN/CNN architectures or propose a 
+ * Extend the application to different CNN architectures or propose a 
    software architecture
 
 
@@ -42,5 +42,6 @@ or image processing or statistics would be appreciated.
   * [Florian Beaudette](mailto:[email protected]), senior physicist
   * [Artur Lobanov](mailto:[email protected]), physicist
   * [Arnaud Chiron](mailto:[email protected]), computer scientist, CMS software expert
+  * [Andrea Sartirana](mailto:[email protected]), computer scientist, Software environment expert (containers, ...)
   * [Gilles Grasseau](mailto:[email protected]), computer scientist and image processing