April 01, 2019
Welcome to the Data Analytics Lab!
As members of the University of Geneva (GSEM and EPLG), we aim at contributing, through our teaching and research missions, to the advancement of the digital economy, by delivering interdisciplinary advancements within the fields of statistical methodology, data analysis and computing. Our contributions are open source and we welcome any type of collaboration that can be integrated within the scopes of our missions .
Highlights
Our paper: Targeting Hallmarks of Cancer with a Food System-based Approach has been accepted in Nutrition.
LinkAugust 05, 2019
Our paper: Multivariate Signal Modelling with Applications to Inertial Sensor Calibration has been accepted in IEEE Transactions on Signal Processing.
LinkAugust 05, 2019
Our paper: Worldwide Predictions of Earthquake Casualty Rates with Seismic Intensity Measure and Socioeconomic Data: A Fragility-Based Formulation has been accepted in Natural Hazards Review.
LinkJuly 25, 2019
Our paper: A Multisignal Wavelet Variance-Based Framework for Inertial Sensor Stochastic Error Modeling has been accepted in IEEE Transactions on Instrumentation and Measurement.
LinkMarch 15, 2019
Our paper: Predicting Fatality Rates Due to Earthquakes Accounting for Community Vulnerability been accepted in Earthquake Spectra.
LinkNovember 01, 2018
Our paper: Use of a new online calibration platform with applications to inertial sensors been accepted in IEEE Aerospace and Electronic Systems Magazine.
LinkAugust 08, 2018
Our paper: Simulation based Bias Correction Methods for Complex Models has been accepted in Journal of the American Statistical Association.
LinkJune 28, 2018
News
We are delighted to welcome Mehran Khaghani, who recently joined us as Postdoctoral Researcher. Mehran received a PhD in Robotics, Control, and Intelligent Systems from Swiss Federal Institute of Technology in Lausanne (EPFL) and his research interests are principally in Robotics, Navigation, Sensor Fusion, Data Science and Machine Learning. Welcome to the team Mehran!
