Title

Smart Living: Cyber-Human Smart Environments Design

Presenter Information

El Hadji Malick Ndiaye

Department

Computer Science

Major

Computer Science

Research Advisor

Das, Sajal K.

Advisor's Department

Computer Science

Funding Source

National Science Foundation (NSF)

Abstract

Smart environments are systems in which both the environment and the user are in contact through several means, such as sensors, wearables, and mobile devices among others. The goal is to establish an environment in which, all the changes and conditions are not only based on the user’s preferences, but they also adapt and learn about the user as he/ she uses such system. Among several others, some of the main aspects of this project are the collection of the heterogeneous sensor data, storage, computation for intelligence, and visualization. Using a new open-source project called the Global Sensor Network (GSN), we aim to collect data from live sensors that are deployed in the user’s environment. Using such data and combining it with the powerful tool that is GSN, it is possible to harness information about the surroundings and also identify more efficient ways to constantly make the environment smarter.

Biography

Malick is a junior in computer Science and is currently working as an REU at the Crewman Lab at Missouri S&T. The Smart Living Project, which he is currently working on, is part of the National Science Foundation initiative for Undergraduate Research. He is working under the supervision of Dr. Sajal Das and Dr. Debraj De.

Research Category

Sciences

Presentation Type

Poster Presentation

Document Type

Poster

Location

Upper Atrium/Hall

Presentation Date

15 Apr 2015, 9:00 am - 11:45 am

Comments

Joint project with Adam Evans, Ashley Painter

This document is currently not available here.

Share

COinS
 
Apr 15th, 9:00 AM Apr 15th, 11:45 AM

Smart Living: Cyber-Human Smart Environments Design

Upper Atrium/Hall

Smart environments are systems in which both the environment and the user are in contact through several means, such as sensors, wearables, and mobile devices among others. The goal is to establish an environment in which, all the changes and conditions are not only based on the user’s preferences, but they also adapt and learn about the user as he/ she uses such system. Among several others, some of the main aspects of this project are the collection of the heterogeneous sensor data, storage, computation for intelligence, and visualization. Using a new open-source project called the Global Sensor Network (GSN), we aim to collect data from live sensors that are deployed in the user’s environment. Using such data and combining it with the powerful tool that is GSN, it is possible to harness information about the surroundings and also identify more efficient ways to constantly make the environment smarter.