FIU's Department of Electrical and Computer Engineering - Spring 2019 Senior Design Booklet

SENIOR DESIGN

PROJECT SHOWCASE Spring 2019 ELECTRICAL AND COMPUTER ENGINEERING SENIORS

Thursday, April 18, 2019 1:30 to 4:30 PM FIU'S OCEAN BANK CONVOCATION CENTER MODESTO MAIDIQUE CAMPUS 1180 SW 113TH AVENUE MIAMI, FL 33199

Table of Contents 2 Message from the Department Chair

13 Team 11: Automated Roll-on Bottle Capper (AROBC)

3 Team 1: Fire Fuel Detection System for Wildfire Prevention

14 Team 12: Edge IoT Drone 15 Team 13: Smart Tank

4 Team 2: Wireless Kitchen Appliances

16 Team 14: SmartVAC System

5 Team 3: Efficient Electric Motor Control System for Eco Race Car

17 Team 15: The Health Bike Generator

6 Team 4: Perimeter Defense System

18 Team 16: Plot’Em!

7 Team 5: Tethered Drone

19 Team 17: S.P.A.R.K.S. (Solar Panel for All Rigorous .

Kinds of Storms)

8 Team 6: Robocart 9 Team 7: IoT Based Smart Agriculture

20 Team 18: Forensics Acquisition Analysis Communications Tool

10 Team 8: Ride Request Device

21 Team 19: Driver Aid Detection System (DADS)

11 Team 9: SmartRod

22 Team 20: Multi-Agent Simulation for Automotive Navigation

12 Team 10: 2019 IEEE Southeast Conference Robot Competition

23 Senior Design Sponsorship Opportunities 24 Department Quick Facts 25

Student Success

Message from the Department Chair 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 400 engineering seniors from six participating departments. 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 acquired at FIU to create solutions to real-world problems. As a supporter, I encourage you to talk with our students and learn what their projects are about and most importantly, learn about our students’ professional experiences. Our students have held internships at prestigious companies such as Intel, Northrop Grumman and Rockwell Collins.

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 in 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 going into the workforce.

Congratulations, class of 2019!

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

FIU Electrical and Computer Engineering | 2

Team 1: Fire Fuel Detection System for Wildfire Prevention

Team Leader: Alejandra Gamargo Team Members: Yury Afanasyev Alfredo Gonzalez Darwin Morales Steve Noriega Mentor: Elias Alwan, assistant professor

3 | Senior Design Showcase Spring 2019

Every wildfire comes with an associated cost due to the loss of lives and damaged infrastructure from which those affected must recover. These disasters drain an average of $2.5 billion a year from the United States. Most financial investments are in retention because the most effective way to prevent wildfires is through prescribed burns, a wildfire that is set intentionally for purposes of forest management. Although this method is shown to be effective, cost-efficiently finding these areas is non-existent.

Our system autonomously finds these areas so that local fire officials can better plan prescribed burns, effectively chipping away the fiscal burdens of wildfire retention.

These areas can be distinguished from lively vegetation, rocks and water by analyzing the near-infrared and red wavelengths that reflect off the area from incoming sunlight. By comparing the intensities of these wavelengths, the system finds areas with massive concentrations of dead vegetation that are capable of starting wildfires. After deciding if the area is wildfire prone, it assigns a ‘danger level’ to the area and transmits the images, the ‘danger rating’ and the GPS location to a chosen receiver. The receiver would be local fire officials.

Team 2:Â Wireless Kitchen Appliances Wireless Kitchen Appliances' goal is to wirelessly power one or more kitchen appliances using a resonant transmitter and receiver.

Wirelessly powered small appliances can eliminate any hazards related to cords, cable management and power socket utilization.

Additionally, the integrated system allows individuals to monitor power levels and ensure devices are turned off. The system lets the user remotely turn off their kitchen appliances. The system also provides countless possibilities for kitchen setups due to the absence of cord constraints.

The project entails the design of a small kitchen appliance and the receiving pad that charges the appliance. The design includes a custom-designed inverter to control better the frequency and a specially made transformer to control the voltage. This voltage is wirelessly transferred. The receiving pad consists of a coil and an additional inverter that then connects to the appliance. The successful power transfer is read within our integrated system and outputted via an application.

Team Leader: Nivea Tejada Team Members: Adrian Bennet Dante Gonzales Carlos Falkenhagen Stefany Rosario 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 | 4

Team 3:Â Efficient Electric Motor Control System for Eco Race Car Team Leader: Fiamma Fernandez Team Members: Gavin Chin David Garcia Alex Rivero Mentor: Atoussa Tehrani, lecturer

5 | Senior Design Showcase Spring 2019

As residents of this planet, we want life on Earth to be sustainable for as long as possible. Therefore, we are taking measures to be able to do just that. The Efficient Electric Motor Control System for Eco Race Car takes advantage of programming logic to maintain a smooth experience for the user driving the car while finding the best settings for performing efficiency. With this system, we will contribute to having more efficient electric vehicles on the streets.

Our team has collaborated with another senior design team from FIU's Department of Mechanical and Materials Engineering. We have created an electric vehicle that is efficient in its battery use. The electrical and computer engineering team handled the control system for the car and managed how the car accelerates, stops and operates. The mechanical engineering team worked on the frame, movement and aerodynamics of the car. The idea for this project came from FIU's Eco Club.

Team 4:Â Perimeter Defense System The Perimeter Defense System is an enhanced camera system with facial recognition and a triggering system to protect against intruders.

The physical system shoots paint onto any person who is not a member of the household and tries to tamper with the system. The idea came from our teammate Gabriela, as she was unhappy with her current security system at home. This project is beneficial because it allows for an intruder to be spotted by the police even if they leave the premises of the house, as the paint does not easily come off.

We worked with facial recognition technology and other hardware parts to integrate movement sensors. We also used a water pump that ejects paint once someone comes within three to six feet of the camera. The facial recognition works using a camera and the Python 3 library for OpenCV, a computer vision and machine learning software library. We integrated the work on the code with a water pump, and have a Raspberry Pi in the middle of it all to manage, receive and send the data. We also used two PIR sensors for movement and one ultrasonic transducer to measure distance.

Team Leader: Ivette Prieto Castro Team Members: Alfredo Albuerne Alain Granda Gabriela Lopez Sanfiel Frank Pazos Mentor: Alexander Perez-Pons, instructor

FIU Electrical and Computer Engineering | 6

Team 5:Â Tethered Drone Drone applications have increased exponentially in recent years.

Many corporations invest time and money into these technologies to determine how drones can best work for them. Florida Power & Light (FPL), the principal subsidiary of NextEra Energy Inc., is one of these companies, and they understand the limitations of a common battery-powered drone.

Team Leader: Andres Ovalle Team Members: Lissy Diaz Mateus Dos Santos Leo Estevez Merlyk Hernandez Mentor: Gustavo Chaparro, instructor Project sponsored by Florida Power & Light (FPL)

7 | Senior Design Showcase Spring 2019

Most drones have to land after a few minutes of flying because they are out of power. This, in turn, hampers several useful applications that require extended flight times. The Tethered Drone boasts unlimited flight time because it is connected physically to ground sourced power, hence “tethered." It features thermal and visual imaging equipment, which provides real-time video transmission to the user. We took regular household power (120VAC) and turned it into usable drone fuel. This project explores the design, planning and implementation of a groundpowered drone.

Team 6: Robocart Robocart is an autonomous shopping cart that carries items and follows the user, making shopping faster and more comfortable. It also helps the elderly and people with arthritis shop in a more convenient way. The user carries an ultra-wide band (UWB) token connected to anchors on the Robocart. Through trilateration, the Robocart can determine the person’s position and then follow them, while avoiding obstacles in its path using ultrasound sensors.

Trilateration is the location algorithm we have used to find the location of the person. Using one ultra-wide band anchor on the Robocart and one ultra-wide band tag on the person, we are able to determine the distance between the cart and the person. Using two or more UWB anchors creates three circles that intersect each other at one point, which is the exact location of the person.

Team Leader: Nicholas DeMello Team Members: Motaeb Allshibanei Mubashir Hussain Magno Melo Rich Saint Fleur Mentor: Armando Barreto, professor

FIU Electrical and Computer Engineering | 8

Team 7:Â IoT Based Smart Agriculture

Team Leader: Andres Gomez Team Members: Andrew Martinez Carlos Sarria Kristian Porro Reginald Sylney Mentor: Yemeserach Mekonnen

The Internet of Things (IoT) Based Smart Agriculture system allows users to monitor the growth of crops and use machine learning to predict when to harvest the crops. The system works by collecting sensor data such as temperature, soil moisture, sunlight and humidity from the plants themselves. The data is displayed in a custom developed app, and the machine learning happens in the background, becoming more accurate with each harvest.

As the population grows, food production and energy consumption will become much larger concerns for the human race. We need to be proactive about minimizing our energy footprint while maximizing crop yield. We aim to do just that by monitoring this relationship. We are working with Libelium hardware such as Waspmote sensor boards and a Meshlium hub to collect the data and store it in an online database.

Source: Canva

9 | Senior Design Showcase Spring 2019

Team 8:Â Ride Request Device The Ride Request Device reproduces the functionality of the Uber and Lyft application services while requiring fewer resources that are currently needed to use these kinds of services. While using the same Uber and Lyft interfaces, this is a dedicated device that runs on a different network, meaning a user does not need to use a cellphone to request a ride. Most smartphones connect to the 4G LTE network, which requires a large amount of bandwidth to function correctly. To use Uber services, one must have that smartphone.

Our device minimizes the amount of data that is inherently needed, while providing the same functionally of an Uber application. The invention is a Raspberry Pi computer interfaced with an Android version of the operating system installed. The Raspberry Pi is operated using the Raspian Operating system which is a form of Linux. The device is entirely independent of any Wi-Fi since it connects to the network from a 3G modem. The application was developed using Uber’s Software Development Kit to create Uber Ride requests using Android Studio.

Team Leader: Austin Deleon Guerrero Team Members: Mohammad Almutairi Raheel Kapadia Mentor: Herman Watson, lecturer and undergraduate program director

FIU Electrical and Computer Engineering | 10

Team 9:Â SmartRod

Team Leader: Yordano Nicle Team Members: Can Cevik Cennet Cevik Humberto Perez Banner Vidal Mentors: Ou Bai, assistant professor, and Robert Hacker, co-founder and director of StartUP FIU

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SmartRod is all about assisting technicians who perform cabling installations. Its function is to help technicians in the most arduous part of their job. At the front of the SmartRod system, a camera sends a transmission to the user who views any potential blockage. Connected to the camera is a servo that allows one hundred and eighty degrees of movement. This range of articulation enables the user to shift the cabling rod up and over the potential blockage.

With these functions, technicians will not only save time but lower the health risks of having to go into unsecured areas such as attics. SmartRod helps technicians stay safe and efficient. This product also potentially helps reduce the installation processes and operation time by more than half the time.

Team 10: 2019 IEEE Southeast Conference Robot Competition The Autonomous Robotic Object Collection System (AROCS) is an autonomous robot participating in the annual hardware competition of the IEEE (Institute of Electrical and Electronics Engineers) SouthEast Conference. This year’s theme is “First 50 years in Space, next 50 years in Space,” and the challenge for the robot is to grab spheres and cubes that are laid out in a playing field, imitating debris in space. AROCS has three systems: computer vision, navigation and mechanical. The computer vision detects objects based on their shapes and color. The navigation controls the movement of the robot receiving information from the computer vision, avoiding collision with other robots and objects on the field. Lastly, the mechanical aspect of AROCS includes the chassis, arm and wheels. Our project is sponsored by FIU’s IEEE branch and individual donors. This robot and its technology can be retrofitted to benefit society in real-world situations such as assisting the elderly or the disabled by picking objects from hard to reach places. It can also be used to handle dangerous materials by picking up the item and autonomously transferring it to a designated safe location.

Team Leader: Abdul Alrashide Team Members: Alejandro Cruz Marina Labib Andy Lau Mentor: Wilmer Arellano, senior 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 | 12

Team 11:Â Automated Roll-on Bottle Capper (AROBC)

Team Leader: Ernesto Rodriguez Team Members: Cadel Hernandez Erick Lopez Chabely Rivera Mentor: Amaury Caballero, university lecturer

13 | Senior Design Showcase Spring 2019

The Automated Roll-on Bottle Capper (AROBC) is an autonomous system that caps bottles in an industrial environment. The system works by having bottles travel along a conveyor belt with two rails on the side, which serves the purpose of keeping the bottles in the center. This mechanism holds the bottle in place as the bottle is brought under a drill press, where a sensor detects and seals it. As the drill press spins fast, the holding mechanism keeps the bottle still so that it won't fly out.

Our modular system is easy to repair and saves thousands of dollars by increasing production quantity while maintaining the same quality. Originally bottles were capped by hand, by placing the ball on the bottle after it has been filled on a separate machine and then pushing the ball into the bottle with force. Then the cap would need to be twisted to the bottle by hand. By eliminating the procedure, our system will give more time to employees to work on other tasks.

Team 12: Edge IoT Drone The Edge IoT Drone is a system that attaches to any drone in which the data that it collects, is analyzed at the “edge,” meaning it will take gathered data and process it locally, skipping the process of sending the data to data centers for processing. The Edge IoT Drone uses a transmitter on top of the drone and the receiver, to gather the analyzed data. The Edge IoT Drone helps agriculturalists, students, researchers and meteorologists know the ambient environment with a series of Edge IoT Drone connected systems.

The data is sent to users in real-time.

An example of our system in use can be for farming implementations. Our sensors continuously gather data. If any of our sensors determine that environmental conditions within a certain area are deemed unsafe for a farmer’s production, then our system will be able to let them know in real time to make any adjustments necessary. This will help agriculturalists potentially save their production and in turn, will ensure that there will always be a healthy supply of products to cater to societies’ demands.

Team Leader: Yeison Luis Team Members: Juan Barreto Erick Marrero Jimmy Rodriguez Sebastian Vallejo Mentor: Shekhar Bhansali, AltacelLucent professor and chair

FIU Electrical and Computer Engineering | 14

Team 13:Â Smart Tank

Team Leader: Emely Martinez

Smart Tank consists of an application, which allows customers to view the status of their fish tank from any location, and an attachment to the fish tank, with lights and a food dispenser included. The app lets people monitor their fish, which can potentially lead to less fish dying due to people forgetting to check their fish tanks.

Team Members: Patxi Francisco Milian Giancarlos Mairena Alexander Ramos Danny Ruiz

The attachment installed in the fish tank performs several functions. It monitors the pH levels of the water, it reads the temperature of the water, it can control the lights in the tank, and it can also feed the fish. The Smart Tank is connected to Wi-Fi so that the user can access and change the system remotely.

Mentor: Amaury Caballero, university lecturer

15 | Senior Design Showcase Spring 2019

Team 14:Â SmartVAC System The SmartVAC is a Smart Heating Ventilation and Air Conditioning (HVAC) system. It consists of three main units: variable dampers, atmospheric sensing and logic control. This system lets people set specific temperatures throughout their home, allowing users to manage their heating and cooling efficiency better. Ultimately, this leads to less run time and increased savings on electricity.

Most people spend 60 to 70 percent of their electrical cost on cooling and heating their homes. The SmartVAC system will help society by requiring less power from power companies while easing the costs of electricity on users. We used a scale model, which includes two room floors and an attic.

Team Leader: Carlos Velez Team Members: Aimara Fontalva Norka Haiek Edward Sanchez Julio Zapata Mentor: Gustavo Roig, professor

FIU Electrical and Computer Engineering | 16

Team 15:Â The Health Bike Generator

Team Leader: Camilo Arias Guisao Team Members: Nicholas Catin Robert Nguyen Lenin Santos Mentor: Samy Gamal Faddel Mohamed

17 | Senior Design Showcase Spring 2019

The Health Bike Generator is an efficient electrical generator attached to a static exercise bicycle. The system consists of using the energy gathered to power several small electronics. The entire generator kit includes options to power devices including cellphones, laptops, small LCD screens, vital sign readers and LED lights. The primary objective of the Health Bike Generator is to make already built bicycles a self-sustainable source of clean energy. For instance, with this system, a user at home can have an extended workout session with full-built in entertainment without having to consume power from the main grid.

The process starts by harvesting the energy from the bicycle by using a drive belt attached to the main motor. The rotation from the wheel activates the motor, which transforms the kinetic energy into electrical current. The 12-Volts rated motor then charges a battery pack. The DC energy harvested is then passed through an inverter to obtain a clean 144-Volts AC. The inverter powers all the electronics. All the components and parts are inside a case, which includes a proper cooling system. The project aims to benefit the planet by researching and providing alternatives to gather clean energy. The idea came from team member Lenin Santos, who takes spinning classes and one day considered how much energy could be harvested from these places.

Team 16: Plot'Em! Plot’Em! is a new device that prints art designs to a chalkboard, such as menus for restaurants or signs for weddings. With Plot'Em!, store owners would not need to depend on artistically inclined employees to write their menu for them. With a push of a button, owners can have any design they want. This will improve the look and feel of the store.

Our device is in the shape of a T. The top horizontal rail is stationary, and a carriage that holds the Y rail moves left and right. On the Y rail is a marker holder device that moves up and down. The marker holder device grips the marker and precisely lifts it up and down using a servo motor. There are two NEMA 17 motors, one to move the carriage in the X rail and another to move the pen holder device in the Y rail. All of the parts, other than the motors, servo, wheels, bearings and the rails themselves are 3D printed. Regarding the software aspect, the motors and servo are controlled using an Arduino Uno that has an open source program called GRBL installed on it. GRBL takes G-code, a programming language, to control the movement of the motors.

Having this device will save businesses time and money.

Team Leader: Adan Feliz Team Members: Dominick DeJesus Barrington Guthrie Bryan Maldonado Adrian Martinez Mentor: Herman Watson, lecturer and undergraduate program director

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: S.P.A.R.K.S. (Solar Panel for All Rigorous Kinds of Storms) Team Leader: Aldo Egas Team Members: Daniel Aldecoa Gabriela Nunez Alejandro Valle Mentor: Arif Sarwat, associate professor

19 | Senior Design Showcase Spring 2019

S.P.A.R.K.S. (Solar Panel for All Rigorous Kinds of Storms) provides a smart energy management system, that can replace gas or diesel generators. The project consists of a battery bank, solar panels and an electrical power grid. The smart system automatically charges the battery bank and reserves the power for when it is needed. This results in peak load shaving which will provide PV / battery grid-tie systems with more substantial flexibility and reliability. Making peak load shaving a priority based on time of use pricing will allow the utility to easily predict when they can expect discharge onto the grid, as well as turn on as soon as it is needed. One of the project’s functions features a web portal that shows the system’s data and status. The software of the product predicts when to buy or sell energy from the grid, optimizing the user’s power to dollar ratio.

Team 18:Â Forensics Acquisition Analysis Communications Tool Every day brings improvements to the inter-connectivity between vehicles. Dedicated Short Range Communication Onboard Units (DSRC OBU) and Roadside Units (DSRC RSU) are a prime example of this. DSRC OBUs are specifically designed to be in constant communication with RSUs, and other OBUs mounted in other vehicles. Forensics Acquisition Analysis Communications Tool (FAACT) is a powerful forensic tool to aid in vehicular accidents.

This tool gives more insight to law enforcement, insurance companies and individuals to find out what happened during certain vehicular accidents. This will save investigations from law enforcement and save time and money for insurance companies.

Our project works by using DSRC devices to record various data from a vehicle, such as speed and tire pressure. The data is then sent and stored onto a computer. It can also be stored on a smartphone. With this tool, forensic analysis of traffic accidents will be enhanced.

Team Leader: Christopher Ballesteros Team Members: Fernando Carbonell Mike Mendez Adrian Rodriguez Alexander Rodriguez Mentor: Kemal Akkaya, professor

FIU Electrical and Computer Engineering | 20

Team 19:Â Driver Aid Detection System (DADS) Team Leader: Robert Gaters Team Members: Fayez Alghamdi Jingni Fu Kevin Hamel Dave Scott Mentor: Hai Deng, associate professor

The Driver Aid Detection System (DADS) serves as an aid for tractor trailer drivers to help prevent accidents. DADS measures the distance from a commercial trailer, like an 18 wheeler for companies like FedEx or UPS, to whatever object is nearby. DADS helps eliminate blind spots and reduces human error. Our team designed a circuit that detects nearby objects and gives a beeping response based on how close that object is. It uses ultrasonic sensors which connect to the Arduino Uno to send a wireless signal to an application that can be downloaded to any Android device. Once the app is downloaded, it connects via Bluetooth and the sensor transmits the distance to the application, letting the driver know how close they are to hitting an object. The device gives the driver an accurate measurement of how close their trailer is to striking an object.

We conducted some secondary research and found out that there is a need for such a system because there are many reported tractor trailer accidents that occur yearly. We conducted primary research by giving surveys to trailer drivers from companies like FedEx Express and approximately 70 percent of the drivers who answered our survey found the DADS system to be helpful. The system is easy to install and user-friendly.

Source: Canva

21 | Senior Design Showcase Spring 2019

Team 20:Â Multi-Agent Simulation for Automotive Navigation Multi Agent Simulation for Automotive Navigation (MSAN) integrates a Multi-Agent simulation system, NetLogo, and a vehicular traffic simulation platform, SUMO. MSAN extends NetLogo to give users control over a SUMO and creates a bidirectional communication between the two platforms. We aim at enabling vehicular traffic optimization applications by message passing among the vehicles. This optimization is now possible due to the two-way communication between the simulators. This allows intelligent agents (cars) to change their driving behavior based on current traffic conditions in SUMO. Python is used to establish a connection between the two platforms and adding buttons and sliders to manipulate the simulation based on different scenarios and options.

Team Leader: Kevin Hoekstra Team Members: Carlos Frisbee Lisset Morales Gabriel Pareja Alex Rodrigues Mentor: Mubarak Mujawar, instructor, and Wilmer Arellano, senior instructor

Our goal in creating this extension is to give researchers more options to explore while looking into issues relating to traffic and navigation. This extension tackles a problem in where most of the options currently available to perform such complex simulations require higher than average hardware and resources to run.

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 Team Leader: partners 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.

SPONSORSHIP BENEFITS 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 or the prospective risks involved with traditional product development in a corporate setting.

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

Endorsement: Our students, faculty and staff will share their positive experiences with peers and spread 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!

23 | Senior Design Showcase Spring 2019

Department Quickfacts Research

Rankings

Awards

#13

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

2016-2017

$6,416,383 2017-2018

#29 #54

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

for best online graduate engineering degree program: master's in computer engineering: network security Per U.S. News & World Report 2019

Research Areas

$10,053,116

Total Student Enrollment

1,088

Faculty & Patents

40

total faculty members

for spring 2019

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

FIU Electrical and Computer Engineering | 24

Student Success ALDO AMENTA Aldo Amenta suffered a severe spinal injury and was left paralyzed. Through FIU’s Ignite Campaign, Amenta received a full-tuition scholarship and graduated this past December with a bachelor’s degree in electrical engineering. He made not just national news, but international news, by using an exoskeleton to walk across the stage. Read more on ECE News: ece.fiu.edu/news

ANTONIO RUBIO

During summer 2018, electrical engineering student Antonio Rubio, had the opportunity to intern at Northrop Grumman as an electrical engineering intern. There, Rubio worked with the Master Engineering Data List Team in support of the Minuteman III missile system, a land-based missile in service with the Air Force. To read more about his experience, visit FIU News.

APARAJITA SINGH

Aparajita Singh was born in India and earned her bachelor's and master's degree in physics. She joined FIU to pursue a doctoral degree in electrical engineering. Since graduating from FIU, Singh has been working for Intel as a technology development process engineer. On a daily basis, Singh reviews the quality that goes into making computer chips. Read more at FIU News.

25 | Senior Design Showcase Spring 2019

SENIOR DESIGN PROJECT SHOWCASE

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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