	Ana Aguiar's Homepage
Research Interests Publications MSc Thesis Projects Teaching Useful Stuff (DEEC)	Ongoing Projects VOCE VOCE shall develop methods and algorithms that enable the online classification of stress from live speech with the goal of providing feedback cues to the speaker in real-time to improve his communication skills. The work will focus on detecting and classifying stress in speech by leveraging advanced signal processing and machine learning techniques, complemented with psychological analysis of different aspects of stress perception. Vital Responder Working on the design of a wireless ad-hoc network for gathering vital signs and other information from a firemen team while fighting forest fires. Also working on the implementation of a prototype using Android mobile phones for collecting and forwarding the data. MISC Working on the design of an infra-structure to collect massive amounts of data from people and vehicles in an urban area. Also working on using that data to provide useful information to the inhabitants of the city and creating opportunities to improve their mobility footprint. Massive Urban Data Gathering using Vehicle to Vehicle Communication is also a topic of interest, which I am working on with a graduate student. Drive-In Working on better understanding how the wireless channel works in vehicular networks, and how it can be simulated " Architectural and Networking Aspects of Sensing Applications on Vehicular Networks " is the title of the work of Mohammad Nozari, a MAP-Tele graduate student under my supervision COHERENT Optimisation of communication for multi-homed wireless devices; opportunities for the use of network coding SHOWNET Optimisation of handovers in WiFi networks; opportunities for the use of network coding
Contacts Email: ana . aguiar at fe . up . pt LinkedIn: Ana Aguiar

Ana Aguiar's Homepage

Ongoing Projects

VOCE

VOCE shall develop methods and algorithms that enable the online classification of stress from live speech with the goal of providing feedback cues to the speaker in real-time to improve his communication skills. The work will focus on detecting and classifying stress in speech by leveraging advanced signal processing and machine learning techniques, complemented with psychological analysis of different aspects of stress perception.

Vital Responder
- Working on the design of a wireless ad-hoc network for gathering vital signs and other information from a firemen team while fighting forest fires. Also working on the implementation of a prototype using Android mobile phones for collecting and forwarding the data.
MISC
- Working on the design of an infra-structure to collect massive amounts of data from people and vehicles in an urban area. Also working on using that data to provide useful information to the inhabitants of the city and creating opportunities to improve their mobility footprint.
- Massive Urban Data Gathering using Vehicle to Vehicle Communication is also a topic of interest, which I am working on with a graduate student.
Drive-In
- Working on better understanding how the wireless channel works in vehicular networks, and how it can be simulated
" Architectural and Networking Aspects of Sensing Applications on Vehicular Networks " is the title of the work of Mohammad Nozari, a MAP-Tele graduate student under my supervision
COHERENT
- Optimisation of communication for multi-homed wireless devices; opportunities for the use of network coding
SHOWNET
- Optimisation of handovers in WiFi networks; opportunities for the use of network coding

Contacts

Email: ana . aguiar at fe . up . pt

LinkedIn: Ana Aguiar