At imec, Body Area Networks
Background and problem statement
With the advent of commercial wearable devices, the amount of physiological data gathered from our body is exponentially increasing. This thesis wants to explore the feasibility of aggregating data from heterogeneous datasets to be used for standard analytic tools.
Fluent in MATLAB/Python or Java
Strong Background on Data Mining and Information Theory
Knowledge of Big-data Analysis is highly valuable
Knowledge of Distributed Computing is highly valuable
Motivated student eager to work independently and expand knowledge in the field
Good written and verbal English skills
We live in the digital era where the amount of data created is of the order of several Exabyte per day (Exabyte = 10^18 bytes). With this amount of data to be analyzed, Big-data tools allow the aggregation and fusion of data from heterogeneous sources.
Computer Science / Software Engineering
Principal Investigator track
B.J. van Beijnum?
Supervision and info
For all inquiries, please contact:
Ms Sandra Maas, Management Assistant Human Resources.
Telephone number: +31 (0)40 40 20 500