Christian Huacón is currently an undergraduate electrical engineering student at the City College of New York (CCNY), City University of New York. He earned an Associate of Science degree in Electrical Engineering at Hostos Community College (HCC), City University of New York.
During his undergraduate studies, Christian has been participating in several research programs such as the Collegiate Science and Technology Entry Program (CSTEP) at HCC, The 2019 NSF REU Program in Data Science at Worcester Polytechnic Institute (WPI), and the Summer Undergraduate Research in Engineering/Sciences (S.U.R.E.) program at Georgia Institute of Technology.
Electrical Engineering
The City College of New York (CCNY), May 2020
Electrical Engineering
Hostos Community College (HCC), May 2017
Structural Health Monitoring (SHM) is an emerging field that leverage state of the art sensing technologies for identifying and characterizing the performance and/or possible deterioration of a structural system. Therefore, a wireless mobile sensor was developed to navigate to targeted locations and measure the acceleration response of steel structures. The wireless mobile uses an edge detection mechanism to prevent it from falling off the steel structure as it navigates to targeted locations. In addition, a push and pull electromagnet solenoid hammer-controlled system was implemented for impacting the steel structure. The simultaneously vibration response excited by the hammer-controlled system can provide indication on dangerous crack formation in the excited area.
As the elderly population continues to grow, nursing homes, hospitals, and caregivers will find it increasingly difficult to ensure their patients don’t go missing. This is especially important for patients who suffer from medical and/or mental disorders. To solve this issue, Bluetooth Low Energy (BLE) devices such as Estimote beacons and Raspberry pi 3 (RPi3) scanners are used to track the whereabouts of elderly patients. BLE beacons store patients' information. A database stores personal and medical information such as age, address, medical records, health conditions, and contact information. Information from multiple beacons can be organized by the beacons major ID and stored on the database accessible to Emergency Medical Services (EMS).
To be Updated!
With the increasingly widespread use of embedded sensor technology within cities, an abundance of heterogeneous spatio-temporal data, such as vehicle trajectories, points of interests and more has been generated. It is challenging to visualize and analyze those data for more effective urban planning. For such reason, SURV - a scalable and interactive visualization system for massive urban data was developed. SURV handles big data by using the functionalities of Mapbox and Carto for rendering and databases, respectively. With both Mapbox and Carto, modification in the open source code allows both massive urban data handling and provides the user with the dynamics of data visualization such as heatmaps, data animation and three-dimensional (3-D) urban modeling.
Due to the advancement in technology and increase in economic growth, environmental pollution impacts indoor and outdoor surroundings, technical, scientific and social fields. Thus the design of a low-cost, Cloud-based Environment Smart Device (CEMSD) was required to monitor different environmental parameters such as air quality, noise, temperature and humidity. The CEMSD collects and sends the environment data from targeted measurement locations through wireless or cellular network to a cloud server, where the data is stored, processed and can be accessed using a computer or any smart device. The CEMSD can be integrated into the making of Smart Cities which would help reduce level of pollution, save energy and provide an overall living environment enhancement.
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