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Computational Epidemiology, Data and Disaster Intelligence Lab
Sampson Akwafuo, PhD
Director, CEDDI Lab
Assistant Professor,
Department of Computer Science
College of Engineering and Computer Science
Projects:
Computational Epidemiology
Development of data-driven computational models and tools for studying disease spread patterns.
Development of algorithms and simulation tools for evaluating the effects of disease intervention strategies
Using machine learning models to predict potential outbreaks of specific diseases in localities of interests
mHealth: Developing mobile apps to improve health solutions in LMICs
Development of mobile apps for early detection of Lassa Fever in rural areas of West Africa
Adaptation of mobile apps to improve reporting of Gender-Based Violence (GBV) and treatment/care amongst HIV+ in rural LMICs
Emergency Response and Disaster Management
Adaptation of machine learning algorithms for geo-clustering of cities and pre-positioning of depots
Social Networks and Data Analytics
Development of tools for misinformation source detection in social networks
Real-time early detection of possible disease outbreaks using social networks
Associate Members
Lohuwa Mamudu, PhD
Assistant Professor
Department of Public Health
College of Health and Human Development
Christopher Ihinegbu
Doctoral Fellow
Urban and Environmental (Disaster) Planning.
University of California, Irvine
Doina Bein, PhD
Professor
Department of Computer Science
College of Engineering and Computer Science
Current Student Members
Bharti Moryani
Pratik Bagmare
Daniel Quezada
Mrunal Kakiwar
Eric Nguyen
Former Student Members
Aniket Wattamwar
Samarth Halyal
Amit Mittal
Ali Hussain
Emily Le
Vritik Mistry
CEDDI Lab is looking for Research Assistants:
Machine learning models development, training and utilization for the prediction of events
Development of Mobile Apps
Dashboard development and integration of real-time data studio into the dashboard
Contact CEDDI, if you are interested in any of the projects
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