|
Research Interests
The research activity of the past 10 years has been developed in different, complementary directions:
- Distributed algorithms and protocols for networking.
This work resulted in models of problems to be solved with
graph based theory approaches, optimization techniques
(Integer Linear Programming) and efficient algorithm
solutions;
- My activity then moved to wireless networking and self
organized networks, leading to strong constraints on the class of
algorithms that need to be designed. This work resulted in distributed
algorithms with self stabilization properties and analysis base on
stochastic geometry;
- Within wireless network context, I found very challenging to push my
research from theory to practice and fill the gap between pure theorems
and applications and investigate in situ experiments. It was a challenge
to develop and deploy large scale wireless sensor network
applications;
- Finally, these last years, based on the success of wireless sensor
networks, I moved naturally towards the analysis of the data collected
by such applications. I found very promising to tackle health and social
challenges and engage myself again in the development (both hardware and
software, both are chalenging and time consuming) of large scale
wireless sensor networks to measure human interactions within health
care units. Two deployments were done, one at Bichat Hospital and
another at Berck Hospital. The largest experiment was conducted at Berck
thanks to the MOSAR project5. In MOSAR project, all contacts between all
health care workers and patients -- 600 persons on total -- were
recorded every 30sec, 24/7, on a 6 month long period generating millions
of snapshots. Moreover, swabs were taken every week to detect
antimicrobial-resistant bacteria portages allowing us to track bacteria
propagation while following the dynamic of contacts.
The DANTE team is now working on the field of complex systems, with
an explicit input graph approaches and signal processing, a first step
towards a strong interdisciplinary approach.
|