ECE Senior Design Fall 2018 Booklet

Senior Design

Fall 2018 Senior Design Project Showcase Friday, November 30, 2018 | 1:30 to 4:30 pm FIU's Ocean Bank Convocation Center Modesto A. Maidique Campus 1180 SW 113th Avenue, Miami, FL 33199

Table of Contents 2 Message from Department Chair

13 Team 11: Smart People Counter System

3 Team 1: UAV RFID Logistics System

14 Team 12: A Video Game for Therapy and Rehabilitation of Children with Disabilities

4 Team 2: Pool Maintenance Controller 5 Team 3: Water Quality Sampling Drone

15 Team 13: Additive Manufacturing of Nano Material through Cold Atmospheric Plasma Improvements

6 Team 4: Supercapacitor Driven Drone 16 Team 14: Wearable Alcohol Sensor 7 Team 5: Autonomous Drone Module 17 Team 15: Smart Garage System 8 Team 6: Guitar Sheet Music Notator 18 Team 16: Smart Mailbox 9 Team 7: AFR System 10 Team 8: Quasi-Dynamic Wireless Power Transfer in Battery Electric Vehicles

19 Team 17: SmartNavi: An Electrical Mobile Aid for the Visually Impaired 20 Team 18: MowControl

11 Team 9: Predictive Geo Mapping Water Quality Vessel

21 Team 19: Edge IoT Based Smart Agri Sensor

12 Team 10: 3D Plasma Printer Control System 22 Team 20: D.A.R.K. Danger Zone Alert Ranging Kit 23 Senior Design Sponsorship Opportunities 24 New at ECE 25 ECE Quick Facts

Message from Department Chair Greetings!

Dear supporters of Senior Design, Welcome to the FIU College of Engineering & Computing's Senior Design Project Showcase!

As you spend time in this showcase, you will witness innovative Senior Design projects completed by more than 450 engineering seniors. The Department of Electrical and Computer Engineering has 20 Senior Design teams presenting.

Mentored by our faculty and industry leaders, our students have worked hard for two semesters by applying all the principles and theories they have learned at FIU to create solutions to real-world problems. From a fully functional wearable alcohol sensor that informs users of their alcohol intake to a water quality geo-mapping vessel that identifies where water pollution is most abundant, these students are making a difference.

As a supporter, I encourage you to talk with our students and learn what their project is about and how they made it come to life.

Students, I could not be more proud of each and every one of you. You embody to the fullest the drive to discover, create and inspire. The culmination of this Senior Design project marks a significant milestone in your life and your accomplishments at FIU. Not only were you able to apply the teachings and values we have instilled upon you, but you also learned how to work together in a collaborative effort.

I am confident that as you leave FIU, you will be prepared to achieve your next goal, whether that may be pursuing a master's or doctoral degree or working in the industry for top companies.

Congratulations class of 2018!

Shekhar Bhansali, Ph.D. Alcatel–Lucent Professor and Chair

FIU Electrical and Computer Engineering | 2

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Team Name: Team Uno Team Leader: Nicolas Hunter Team Members: Anthony Anyosa Noe Nunez Jason Rivas Jude Stervil Mentor: Kemal Akkaya, professor

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Team 1: UAV RFID Logistics System The UAV (unmanned aerial vehicle) RFID (radio-frequency identification) Logistics System is a new Internet of Things (IoT) device. IoT allows the interconnection via the Internet of computing devices embedded in everyday objects like light bulbs, thermostats, etc. Enabling them to send and receive data and communicate with each other and human beings. Our project helps companies, like Amazon, with inventory management. Our framework supports a UAV with smart tag sensor capabilities.

How does it work? The UAV flies in a controlled environment and scans nearby RFID tags. The smart tag sensor serves to identify and retrieve information from the device it is connected to. The smart tag stores relevant product information obtained from a Microsoft SQL Server database hosted on Amazon Web Services.

Team 2:Â Pool Maintenance Controller According to the Association of Pool & Spa Professionals (APSP), there are more than 10 million swimming pools in the United States. Most swimming pools are residential, meaning owners need to pay a substantial amount of money from time to time for pool service companies to provide maintenance. This process may require someone to be in the house while the individual is doing the maintenance, and most of the time this person will not share the analytics of the pool with the owner. Our team has created a product that does the maintenance of the pool automatically, giving the customer access to the analytics of the pool as easy as opening a mobile application. Pool owners will get the pH and ORP levels of the water in the pool, helping them know if the water is clean and safe to get in it.Â

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Team Name: Aqui-Fi Team Leader: Aldo Apollini Team Members: Jonathan Dag Gabriel Gil Antonio Simon Huifang Yue Mentor: Amaury Caballero, university lecturer

Mentor: Dr. Alexander Perez-Pons Team Leader: Eli Ruiz Team Members: Fernando Machin Abbey Lehman Daniel Ladron Hector Sanabria

FIU Electrical and Computer Engineering | 4

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Team Name:Â Water Quality Sampling Drone Team Leader: Blake Gregorisch Team Members: Arsenio Bringas Natalia Coronado Dylan Myers Luis Ruiz Mentor: Shekhar Bhansali, AlcatelLucent professor and department chair

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Team 3:Â Water Quality Sampling Drone The Water Quality Sampling Drone tests the Electrical Conductivity (EC) properties on designated bodies of water.

The EC measurement of a water sample tells us about its ability to conduct an electric current. Salts, various other metals and chemicals break down in water and provide a path for electrical current to flow. Measuring the EC is an important metric in determining the water's overall purity. The drone achieves this task by landing on the body of water. It then takes a water sample with the designed system that is housed underneath the drone.

The water sample is mixed with a chemical solution and tested, providing, in a brief process, the EC properties of the water. The sample is then flushed to prevent cross-contamination, and another sample may be collected. This system is very useful for researchers in the aquatic field, National Park Service research teams and wildlife preservationists. Instead of bringing the water to the lab, the lab is brought to the water.

Team 4: Supercapacitor Driven Drone The Supercapacitor Driven Drone includes a graphene-based supercapacitor. This type of capacitor is better than traditional batteries. The supercapacitor is lighter, charges faster and is environmentally safe. It is installed on a drone with a hybrid system consisting of a battery and supercapacitor. The control system detects when the battery is at 10 percent and then a relay kicks in, switching over to the supercapacitor to power the drone.

With the Supercapacitor Driven Drone, there is a real opportunity to help society move in a new direction and forget about only using batteries. Another application of the Supercapacitor Driven Drone is for it to fly to an electric vehicle that has low or no charge battery and use the supercapacitor to charge the electric vehicle. After this, the drone would fly back to its home base and recharge for its next destination.

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Team Name: Team 4 Team Leader: Javier Izquierdo Team Members: Federico Capelleti Xiomara del Corral Oscar Garcia de Santamarina Mentor: Mubarak Mujawar, instructor

Mentor: Dr. Alexander Perez-Pons Team Leader: Eli Ruiz Team Members: Fernando Machin Abbey Lehman Daniel Ladron Hector Sanabria

FIU Electrical and Computer Engineering | 6

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Team Name:Â Autonomous Module Team Leader: Hector Fonseca Team Members: Alfredo Busutil Alberto Perez Chris Vega Mentor: Herman Watson, lecturer and undergraduate program director

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Team 5:Â Autonomous Drone Module Autonomous drone flight can be used in surveillance or payload delivery. Many high-end drones come with an automated flight feature, however less expensive middle tier drones do not.

The Autonomous Drone Module enables these types of drones for autonomous flight. The system is an add-on module that is controlled through a mobile application which specifies the desired path for the drone. The app communicates with the module through Wi-Fi and the app allows the user to input a destination coordinate and a desired altitude of flight. The module itself receives these instructions and using a microcontroller, it processes the data to track its location, destination and altitude. The controller can also send out flight control signals to the drone using an RF transmitter. The drone then operates controlled through the ground controller.

Team 6: Guitar Sheet Music Notator Guitar Sheet Music Notator is a device that connects to an electric guitar, captures the musical notes being played and produces sheet music and tablature. This is done by sampling the analog sinusoidal signal produced by the electric guitar’s pickups at a rate of at least 48.1 kHz. Once the signal is converted into a digital signal, it is processed by a Raspberry Pi. The Raspberry Pi matches the binary values obtained with digitized musical notes, using a pre-defined table stored in memory with each digitized value. The Raspberry Pi simultaneously runs a GUI program to display the sheet music and tablature. The music notator has the capability of sending the sheet music or tabs to a smartphone application. Recording the guitar sound and playing it back was achieved by connecting a guitar to the Raspberry Pi (with Windows 10 IoT core OS) via a Behringer USB guitar media interface cable and running a Universal Windows 10 application, which records and plays back the sound.

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Team Name: Music Shredders Team Leader: Carlos Suarez Team Members: Aldo Amenta Giovanni Lorenzo Husain Mohammed Mentor: Gustavo Roig, professor

Mentor: Dr. Alexander Perez-Pons Team Leader: Eli Ruiz Team Members: Fernando Machin Abbey Lehman Daniel Ladron Hector Sanabria

FIU Electrical and Computer Engineering | 8

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Team Name: BitAFR Team Leader: Jonathon Losada Team Members: Kevin Baza Carlos Flores Haris Shaikh Kevin Silva Mentor: Gustavo Roig, professor

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Team 7: AFR System The Autonomous Finder Rover System (AFR System) is an unmanned vehicle that scans areas of debris and destruction to identify possible survivors during a catastrophic event. Its purpose is to be deployed by first responders or law enforcement personnel to aid them in the search of people in dangerous or hard-to-navigate environments. By deploying an AFR System, these people can limit their exposure to potentially life-threatening situations while still performing in an emergency response capacity. It is important to note that the AFR System is not just a single rover, rather a rover that is capable of communication with multiple rovers to efficiently search an area. This system provides the search crew with real-time feedback on the environment. To accomplish its goals, the AFR System builds upon the strides made in autonomous technology, such as the implementation of convolutional neural networks for computer vision and rover navigation. Furthermore, the components and material used to make the rover follow international standards, thus making the AFR System the opportunity to be a global product.

Team 8: Quasi-Dynamic Wireless Power Transfer in Battery Electric Vehicles With the Quasi-Dynamic Wireless Power Transfer System, an electric vehicle that is at a red traffic light or at a stop sign will charge while it is not moving. If this system is implemented all around the United States and developed countries, it will reduce the dependency of fossil fuels. The system includes modules installed in vehicles and on the roads. The design consists of two electromagnetic coils that when placed over each other transmit power. The system relays the charging status, battery level, voltage and current values to the Android app we’ve developed. The app displays real-time data and generates graphs for the user. Our team decided to pursue this project because it greatly impacts society. In the future, this project could be implemented in entire cities. When a vehicle approaches the red light, it will activate the charging pad and allow the current to flow, whereas when the light turns green and the car drives off the pad it will shut off to save power. This is a very efficient way to charge vehicles and by using this model, users will save time by not having to drive to a charging station.

Team Name: Mho5 Team Leader: Enrique Espinet Team Members: Eric Bacchus Mikhail Holmes Lucknell Madestin Italo Peirano Mentor: Osama Mohammed, associate dean of research and distinguished university professor

Mentor: Dr. Alexander Perez-Pons Team Leader: Eli Ruiz Team Members: Fernando Machin Abbey Lehman Daniel Ladron Hector Sanabria

FIU Electrical and Computer Engineering | 10

Team 9:Â Predictive Geo Mapping Water Quality Vessel Team Name: Ponstars Team Leader: Sabrina Caneja Team Members: Victor Gonzalez Maikel Jimenez Daniil Shklonik Kyle Smorenburg Mentor: Alexander Perez-Pons, instructor

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Water is essential to sustain life. Without water, no species will have the capacity to live on Earth. As human beings, it's our duty to take care of the water on our planet. There is where the Water Quality Geo-Mapping Vessel comes in. The Water Quality GeoMapping Vessel tests water from various locations of the same body of water in order to better comprehend where water pollution is most abundant. This system is simple to utilize compared to the typical costly methods for gathering water tests in various regions. The Water Quality Geo-Mapping Vessel is a completely waterproof framework fueled by a Raspberry Pi 3 that can be placed in a body of water and navigate around said body of water autonomously. The vessel includes an outlined sensor module that has the capacity to take conductivity tests along with NPK levels and send them back to a server which uses machine learning in order to better predict future attacks of water pollution along with storing data in graphs. This item will reform the way researchers test water for pollution.

Team 10: 3D Plasma Printer Control System The 3D Plasma Printer Control System consists of a repurposed 3D printer that is retrofitted to print plasma. The plasma deposits a material that is fused to a substrate by the conductance of the plasma. We built and designed a control system that handles the plasma initiation process more uniformly and efficiently. This system will allow people to make computer chips at a smaller scale and cheaper than before, as well as expand the capabilities of printers in general. This will expand the number of people that have access to this type of printing. The system combines two amazing technologies: plasma research and 3D printing. The fusion of the two technologies offers an incredibly interesting possibility for printing specialized devices.

Team Name: Molecule Blender Team Leader: Filippo Benigni Team Members: Jordan Chen Karolis Paulauskas Mentor: Shekhar Bhansali, AlcatelLucent professor and department chair

Mentor: Dr. Alexander Perez-Pons Team Leader: Eli Ruiz Team Members: Fernando Machin Abbey Lehman Daniel Ladron Hector Sanabria

FIU Electrical and Computer Engineering | 12

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Team Name: SPCS Team Leader: Alireza Entessari Team Members: Mario Lam Aaron Le Yetsey Suero-Perez Xue Yan Mentor: Atoussa Tehrani, lecturer

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Team 11: Smart People Counter System The Smart People Counter System (SPCS) counts the number of people that enter and exit a room. This device is microcontrollerbased, and users of the system are notified of the occupancy of their space on their mobile phone using Bluetooth communication.

The app we developed displays on a smartphone, in real time, the people count and the readings of a temperature sensor. The SPCS helps the community as businesses can utilize the system’s safety features in order to protect the safety of customers.

These features can prevent the overcrowding of a business as it can notify business owners of when a certain room is filled to overcapacity. The people counter feature can also provide an added degree of safety by notifying businesses of when a certain room is occupied when it shouldn't, for instance, after the closing time of the business. Our team was inspired to pursue this project after reading about the large loss of life occurring in Brazil due to a nightclub fire. People were unable to evacuate, resulting in hundreds of fatalities due to smoke inhalation and severe burns.

The authorities noted that the loss of life was a result of the fact that the number of people inside the nightclub exceeded the maximum capacity. The SPCS was designed to prevent this type of tragedy from happening again.

Team 12: A Video Game for Therapy and Rehabilitation of Children with Disabilities As technology improves and smart devices become ubiquitous, so will gaming, but not just because players want to get a high score. People will also be gaming for their health, well-being and personal development. Our project focuses on developing a game for physical therapy to help children with disabilities improve in learning. We came up with a design for a game in which the child looks for letters in the screen and drags them to a specific location to spell out a word. The video game includes visual and audio effects which provide feedback for the child and make the game entertaining. The game is intuitive, simple and easy to use. The game is customizable so that the parent or person in charge of the child can enter different words.

The child will have to find and place the letters of the word in a specific location, and receive positive feedback when they do it correctly. An analysis of multiple topics, such as physical assumptions and limitations, social impact, ethical consideration, and legal aspects were performed to yield a complete spectrum of our design implications.

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Team Name: GJ3 Team Leader: Junior Quintana Team Members: Giannina Carpio Jonathan Gonzalez Jorge Lima Mentor: Ahmed Ibrahim, assistant professor

Mentor: Dr. Alexander Perez-Pons Team Leader: Eli Ruiz Team Members: Fernando Machin Abbey Lehman Daniel Ladron Hector Sanabria

FIU Electrical and Computer Engineering | 14

Team Name: 13 Team Leader: Marila Fernandez Team Members: Francisco Arizaleta Corina Pollini Mentor: Shekhar Bhansali, AltacelLucent professor and department chair

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Team 13:Â Additive Manufacturing of Nano Material through Cold Atmospheric Plasma Improvements This project consists of printing lines of graphene on a surface in order to manufacture a supercapacitor. The system works using plasma from graphene nanoparticles and parts of a 3D printer.

The purpose is to print multiple lines that create a square shape to form the supercapacitor. The project has an impact at all levels since the main purpose is to be able to print electronic devices at the nano/micro level with a minimum cost, and the current methods are way more expensive, and the technology is so advanced that only very well-developed companies have access to it. With this project, any engineer or individual needing to print electronic devices (transistors, capacitors, etc.) at the nano level, would have access to the technology at an affordable price.Â

Team 14: Wearable Alcohol Sensor The Wearable Alcohol Sensor (WAS) is a transdermal alcohol sensing wearable product that generates accurate blood alcohol content (BAC) levels. The device collects the alcohol measurements from the sweat, which is non-invasive and not noticeable by the user. The WAS converts the data collected into BAC levels and displays it to the user in real time. The fully functional wearable alcohol sensor fits on the wearer's wrist. It relays data to the user on an app. This device is intended to provide safety to the user and society. The WAS hopes to lower the risk of accidents caused by drunk drivers and helps prevent alcohol-related problems like violent acts. We wanted to pursue this project because we were inspired by our mentor, and because of the unfortunate accidents associated with over drinking. We believe this project could bring about lowering the rates of accidents related to alcohol and perhaps even save lives.

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Team Name: Team 14 Team Leader: Camilo Londono Team Members: John Mayo Julian Monteserin Andres Varela Juan Varela Mentor: Mubarak Mujawar, instructor

Mentor: Dr. Alexander Perez-Pons Team Leader: Eli Ruiz Team Members: Fernando Machin Abbey Lehman Daniel Ladron Hector Sanabria

FIU Electrical and Computer Engineering | 16

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Team Name: ICParking Team Leader: Christopher Palma Team Members: Iskander Caballero Duong Truong Mentor: Herman Watson, lecturer and undergraduate program director

17 | Senior Design Expo Fall 2018

Team 15: Smart Garage System The Smart Garage System addresses the problem of finding available parking in a quicker and more efficient manner than what it takes today. The system consists of vehicle detectors that relay the information of the car being stationed in a parking space to a network that updates the availability of parking spots in real-time. The networking devices will connect onto a server, which connects to a user’s smartphone via an app. Current systems like this were explored in an effort to determine which features were missing to maximize user satisfaction, energy and savings. Through our research, we concluded that the Smart Garage System has a real opportunity to help thousands get to their destination on time, while simultaneously reducing the stress of finding parking.

Team 16: Smart Mailbox Online shopping is growing every year as it has many advantages. Consumers save time and are guaranteed the product of their needs. Many people purchase textbooks, supplies, gifts and expensive gadgets via the Internet. These online purchases are placed near the resident's door and can easily be stolen by anyone. Delivery services guarantee consumers' mail and purchased items to be delivered to their home, but they do not guarantee the items not to be stolen. The Smart Mailbox improves the experience of receiving mail and packages in a person's home by adding an electronic security system. If an outsider attempts to steal someone's product, the Smart Mailbox will notify the owner's phone and will send them a screenshot of the outsider. The Smart Mailbox ensures products are safely at home, prevents products from being stolen and decreases the number of stolen goods in communities. We built a vertical wall mount style mailbox that allows space for installing the hardware components into the mailbox. The vertical wall mount style mailbox is designed to be installed near a resident’s door, which will result in a stronger Bluetooth connection and view angle for the camera.

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Team Name: Smart Mailbox Team Team Leader: Roberto Vazquez Team Members: Laura Coronado Brian Henriquez Pedro Moncado Osvaldo Perez Mentor: Gustavo Roig, professor

Mentor: Dr. Alexander Perez-Pons Team Leader: Eli Ruiz Team Members: Fernando Machin Abbey Lehman Daniel Ladron Hector Sanabria

FIU Electrical and Computer Engineering | 18

Team 17: SmartNavi: An Electrical Mobile Aid for the Visually Impaired Team Name: Smart Navigators Team Leader: Andrew Perez Team Members: Dante Figueroa Osarymwense GaiusObaseki Sharoz Mazumder Kevin Ugaz Mentor: Gustavo Roig, professor

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According to the World Health Organization, it is estimated that approximately 1.3 billion people live with some form of distance or near vision impairment. This can range from being partially visually impaired to completely blind. We have designed a smart system for visually impaired individuals to use for safe transportation. The SmartNavi provides sensory feedback to help users identify distances to obstacles and alert them if they’re closing in on an obstacle. This is accomplished with the use of vibration motors triggered by ultrasonic sensors, and predefined distances. Each ultrasonic sensor is tied to its own vibration motor. The SmartNavi smartphone application is connected to the SmartNavi cane to provide extra features to its users. This electrical mobile aid will help out the visually impaired.

Team 18: MowControl MowControl consists of an autonomous lawnmower that is able to detect and avoid obstacles, as well as accept manual directional control from the user. MowControl moves in all four directions (forward, backward, left, and right) both through a preset program and manual inputs from a computer through a USB cable. Our project helps the community by providing a lowcost option to automate a time consuming and an exhausting chore. The design provides an immediate solution to smallscale projects involving the average lawn. MowControl can serve as the basis for expanding the capability of technology to accomplish much greater tasks, such as providing public parks, universities and schools with lawn maintenance. Traditional lawn mowing can be dangerous, time-consuming and exhausting for the average person. However, failure to properly mow your lawn can result in killing your yard or allowing too many weeds to grow.

This design eliminates the task of manual lawn maintenance with an autonomous design. An autonomous, remote controllable lawn mower will free the user from this physically demanding and time-consuming chore, help individuals with physical limitations who cannot complete this chore on their own and finally provide all users with more free time.

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Team Name: MowControl Team Leader: Priscilla Quijano Team Members: Juan Castillo Ziyu Du Andres Rodriguez Mentor: Atoussa Tehrani, lecturer

FIU Electrical and Computer Engineering | 20

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Team Name: AgriEdgeDevelopers Team Leader: Jose Alegre Team Members: Anthony Gonzalez Weiyu Han Dui Luo Sen Wang Mentor: Mubarak Mujawar, instructor

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Team 19: Edge IoT Based Smart Agri Sensor According to the Food Aid Foundation, approximately one in every nine people worldwide do not have access to enough food to live a healthy life. The unfortunate thing about this situation is that there is more than enough food to feed everyone, however, the cost of constantly exporting food to underdeveloped countries is very high. The solution to this problem is not to give them food directly, but to provide producers with the tools needed to grow their own food. Our invention, the Agricultural Land Detector, is composed of sensors that can detect if a particular area of land is suitable for plant growth. The sensors read data for temperature, humidity, pH, pressure, nitride and phosphate levels. This data is sent to the user’s smartphone to display the levels of each parameter that was measured. Based on the recorded levels, the application will let the user know if the specific land tested is suitable for plant growth or not.

The cloud will be used to store only new data from the sensors using Internet of Things (IoT) edge concepts, in order to save battery consumption from the devices sending sensor readings to the cloud.

Team 20: D.A.R.K. Danger Zone Alert Ranging Kit When a person goes to work, the last thing that individual should have to worry about is if that job will cost that person's life.

Danger Zone Alert Ranging Kit addresses this reality and aims to minimize the overall danger. Utilizing the ultra-wideband radio, the kit allows for real-time communication with on-site individuals. It also creates an extra layer of checks and balances to ensure everyone has been made aware that heavy machinery is operating or is going to start operating.

The system works by sending the low-frequency waves in pulses.

It connects to nodes using these frequencies and keeps track of their three-dimensional position from the hub. The hub requests clearance from nodes that are directly in an affected area. The circuit of the machinery requesting clearance will not be allowed to complete until either there is no one in the affected area or all nodes in the affected area acknowledge that they are aware of the machinery.

Team Name: D.A.R.K. Devs Team Leader: Luckson Madestin Team Members: Micadel Hazell Elie Octave Maria Quijano Malek Saleh Mentor: Alexander Perez-Pons, instructor

Mentor: Dr. Alexander Perez-Pons Team Leader: Eli Ruiz Team Members: Fernando Machin Abbey Lehman Daniel Ladron Hector Sanabria

FIU Electrical and Computer Engineering | 22

Sponsorship Opportunities We are seeking industrial partners Team Leader: to join our student teams and build a Team Members: relationship that will bring your organization Mentor: and our students together to collaborate on problem-solving projects. This practical, hands-on experience will further develop their engineering skills and expertise.

Why sponsor?

Recruiting: Sponsors have the chance to collaborate with our electrical and computer engineering senior students as prospective employees. Preexisting relationships can increase successful hiring decisions.

Exploration of New Product Development: Senior Design teams provide an alternative way for companies to discover innovative ideas, without a large venture and prospective risks involved with new product development in a corporate setting.

Collaboration: Sponsors have the opportunity to collaborate with students and faculty. In addition, they have access to use state-of-the-art equipment housed within our college.

Endorsement: Our students, faculty and staff will share their positive experiences with peers and spread superior awareness of your company.

For more information on becoming a sponsor, contact Dr. Herman Watson hwatson@fiu.edu | (305) 348-3018 We look forward to collaborating!

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New at ECE Team Leader: Team Members: Mentor:

All ECE bachelor's degrees are available fully online As of fall 2018, all bachelor's degrees offered within FIU's Department of Electrical and Computer Engineering (bachelor's degree in electrical engineering, bachelor's degree in computer engineering and bachelor's degree in Internet of Things) are available fully online. In 2018, FIU became the first university in the nation to offer a bachelor's degree in Internet of Things (IoT). Now, the degree is also offered fully online. Students will learn how these smart devices "talk" to each other through complex wireless networks.

New 10-month RF track under the master's degree in electrical engineering Graduate students in the new RF (Radio Frequency) and Microwave engineering track are working on improving the speed and performance of IoT technologies, wireless communications and Wi-Fi. The program is designed for graduate students with an interest in antennas, radio frequency and 5G. The accelerated program is offered both online and in-person.

To stay up-to-date with the latest news For more information on becoming a sponsor, from FIU's Department of Electrical and Computer Engineering, contact Dr.visit Herman Watson ece.fiu.edu our website: hwatson@fiu.edu | (305) 348-3018 like us on Facebook: facebook.com/ecefiu or follow us on Twitter @FIUECE We look forward to collaborating!

FIU Electrical and Computer Engineering | 24

ECE Quick Facts Rankings #13 #29 #14

for computer engineering bachelor's degrees awarded by school Per the American Society for Engineering Education (ASEE) 2016-2017

for electrical engineering bachelor's degrees awarded by school Per the American Society for Engineering Education (ASEE) 2016-2017

for best online master's degree programs in engineering (master's degree in computer engineering: network security) Per Best College Reviews, 2018

Research Areas

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Research Awards 2016-2017

$6,416,383

2017-2018

$10,053,116

Total Student Enrollment

986 Fall 2017

Faculty & Patents

36

total faculty members

23

U.S. Patents awarded (2017-2018)

Bioengineering, Communications, Computer Architecture & Microprocessor Design, Control Systems, Cybersecurity, Data Systems, Embedded Systems, Human Cyber-physical Systems, Integrated Nano-technology, Internet of Things (IoT), Networking & Security, Power & Energy, Radio Frequency (RF) & Microwave, Smart Infrastructure

Senior Design

Florida International University College of Engineering & Computing Department of Electrical and Computer Engineering 10555 West Flagler Street, EC 3900, Miami, FL 33174 (305) 348-2807 | eceinfo@fiu.edu | ece.fiu.edu

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