8 Result(s)
Human Activity and Gesture Recognition Radar
MOTIVATED, CURIOUS STUDENTS SOUGHT Multiple positions available on a paid, course credit, or volunteer basis for students interested in getting involved in a multi-disciplinary research project relating to human gesture and activity recognition technologies using radar. No prior radar experience required. Depending on student interests and background, specific role in project will be designed and level of responsibility determined. Potential topics include - programming and experimentation with a variety of software defined radio platforms - human kinematic modeling and skeleton tracking using multiple Kinect sensors - machine learning algorithm development for activity and gesture recognition - radar signal processing and radar...
Preferred Majors
Electrical Engineering | Computer ScienceKeywords
radar | human kinematic modeling | machine learning | signal processing | programmingFaculty
Sevgi GurbuzMicrocontroller based sensors
There are multiple projects that deal with interfacing of sensors to microcontrollers (MSP430, STM32). Skills in hardware and software interfacing are needed. These skills may include: microcontroller programming, PCB design, 3D design, sensor prototyping, smartphone programming, etc. Some of the projects may be taken for class credit in the research scholars program, some are paid positions. The paid positions typically are on time cards, but do not pay for time, but rather for the final result. Previous projects like this resulted in students writing papers and presenting them at various conferences. One project took the second place at student paper competition at IEEE Southeastcon, another took 3rd place (and a $5000 award) at TI Innov...
Required Availability
The End of TimeCourse Credit?
Yes - Research ScholarsPaid Position?
Yes - $10/hrFaculty
Edward SazonovSearch for Magnetic Monopoles and other Exotics at the Large Hadron Collider and Beyond
Student can get involved in the following aspects of the project: 1. Development of novel radiation detectors optimized for the magnetic monopole searches. 2. Monte Carlo simulation and data analysis to support the current and planned searches for magnetic monopoles and other particles beyond the Standard Model of physics....
Preferred Majors
Physics | Aerospace Engineering | Applied Physics | Computer Science | Electrical Engineering | Aerospace Engineer & Mechanics | Computer ScienceKeywords
particle detectors | elementary particles | astrophysics | monte carlo simulation | machine learningFaculty
Igor OstrovskiyVarious paid engineering projects
We have a number of occasional paid tasks associated with research. This is a good opportunity to develop design skills. The availability and selection of tasks varies from time time to time. Examples include: - software design: microcontroller programming, Bluetooth stack design, Java/Javascript - electronic design: sensor design, FPGA programming - 3D design: enclosure design and prototyping - manufacturing tasks, assembly - assistance with conducting human experiments and annotation of data...
Faculty
Edward SazonovBiomedical sensors
We have several projects that deal with development and testing of biomedical instrumentation. Depending on the project, the students may participate in several related research activities: 1) Sensor design, manufacture and testing. Practical hands-on tasks that often need 3D design skills, working with plastics, resins and other materials. 2) Signal processing and pattern recognition of signals collected by our sensors. The sensors are used in the human studies and the collected data need to be processed to recognize events of interest in the sensor data. Either direction can be used as a credit in research scholars program or for conference paper preparation....
Preferred Majors
Electrical Engineering | Computer ScienceKeywords
machine learning | bioengineering | signal processing | pattern recognitionFaculty
Edward SazonovBattery State-Of-Health (SOH) Diagnosis, Management, and Customer Discovery
Participate in one or more of the following: (1) NSF I-Corps and Customer Discovery Activities, (2) Data collection and analysis for Battery State-Of-Health (SOH) Diagnosis and State-Of-Charge Estimation, (3) Design and Fabrication of electronic circuits for battery related measurements, (4) Artificial Intelligence (AI) or Machine Learning (ML) algorithms development for Battery Management Systems, and (5) Matlab Modeling or Programing for Battery Management Systems. The project is co-advised by Dr. Jaber Abu Qahouq (ECE, College of Engineering) and Dr. Rob Morgan (The Culverhouse College of Business). Additional information details are available upon request by contacting Dr. Jaber Abu Qahouq at jaberq@eng.ua.edu or Dr. Rob Morgan at ...
Required Availability
The End of TimeCourse Credit?
Yes - Research Scholars Course (Optional)Paid Position?
NoPreferred Majors
Electrical Engineering | Materials Metallurgical Engr | Mechanical Engineering | Computer Engineering | Computer ScienceKeywords
Battery | Customer Discovery | NSF | I-Corps | Computer | Customer | Circuits | Business | SOH | BMS | Battery Management Systems | Electronics | Matlab | artificial intelligence | machine learningFaculty
Jaber Abu QahouqAnalysis of physics data using deep learning methods
Students can work on the following projects: 1. Novel approaches to simulation of nuclear track detector data for the MoEDAL experiment at the Large Hadron Collider using Generative Adversarial Networks. 2. Position reconstruction of gamma and beta decays in the EXO-200 neutrinoless double-beta decay experiment using Convolutional Neural Networks. Fluency in Python, experience with Linux, and familiarity with deep learning methods and software (PyTorch) are strongly preferred. Access to a GPU computing system will be provided....
Preferred Majors
Physics | Applied Mathematics | Mathematics | Computer ScienceKeywords
neutrino physics | physics | particle physics | numerical analysisFaculty
Igor OstrovskiyAdaptive design of immersive e-learning lab (ADIE)
Our lab (ADIE) is looking for passionate undergraduate students working together! Our lab ADIE (adaptive design of immersive e-learning lab) is currently studying how immersive learning technologies support marginalized learners in STEM education. Educational technology is an academic discipline that addresses ways to utilize technologies to make our society, world, and education better. We believe that engaging digital platforms (e.g., VR and digital games) can help underrepresented students to be involved in education with pursuing the value of diversity, inclusion and equity. For instance, the major research project that our lab is doing is the design and development of a digital game-based learning platform aimed to enhance integrat...