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...
Course Credit?Yes - ECE 399
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...
Course Credit?Yes - Research Scholars
Paid Position?Yes - $10/hr
Student can get involved in the following aspects of the project: 1. Development of novel radiation detectors optimized for the magnetic monopole searches. The detectors are to be deployed at the Large Hadron Collider, CERN, and in space using CubeSat satellites. Experience with electronics (charge-sensitive amplifiers, impedance matching) and/or micro-fabrication techniques (physical vapor deposition, photolithography) is a plus. 2. Simulation of the galactic and solar magnetic fields to study propagation and detection of cosmological and astrophysical sources of magnetic monopoles....
Course Credit?Yes - PH495
Preferred MajorsPhysics | Aerospace Engineering | Applied Physics | Computer Science | Electrical Engineering | Aerospace Engineer & Mechanics | Computer Science
Keywordsparticle detectors | elementary particles | astrophysics | monte carlo simulation | microfabrication | machine learning
Paid Position?Yes - $10/hour
Self-regulation of walking Cadence using a WeArable device To Cross-validate and calibrate intensity Heuristics: The Cadence-WATCH study
Background: U.S. physical activity guidelines recommend that adults accumulate ≥ 150 minutes per week of moderate-to-vigorous intensity activity. However, it is difficult for individuals to ascertain their own intensity without the aid of complex (and often very expensive) exercise equipment/technologies that require requisite knowledge for interpretation of intensity metrics commonly examined under laboratory research conditions. Purpose: The proposed grant study will evaluate the ability of adults (18-80 years of age) to self-regulate their walking cadence (i.e., number of steps per minute) using a fitness watch to prescribed cadence targets in order to elicit a moderate-to-vigorous walking intensity. Method: A sex- and age balance samp...
Preferred MajorsStatistics | Undesignated Engineering | Applied Statistics | Athletic Training | Data Processing | Human Perf Exercise Science | Human Performance Non-Certifn | Human Perf Sports/Fitness Mgt | Human Performance | Population Health Sciences | Computer Science | General Health Studies | Human Performance
KeywordsHealth | physical activity | wearable technology | fitness watch | smart watch | aerobic exercise
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....
Course Credit?Yes - Research Scholars
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 email@example.com or Dr. Rob Morgan at ...
Course Credit?Yes - Research Scholars Course (Optional)
Preferred MajorsElectrical Engineering | Materials Metallurgical Engr | Mechanical Engineering | Computer Engineering | Computer Science
KeywordsBattery | Customer Discovery | NSF | I-Corps | Computer | Customer | Circuits | Business | SOH | BMS | Battery Management Systems | Electronics | Matlab | artificial intelligence | machine learning
FacultyJaber Abu Qahouq
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 programming languages (Python and/or C, Linux OS) are required. Familiarity with deep learning technique and relevant software (PyTorch, Keras) are preferred. Access to GPU computing system will be provided...
Course Credit?Yes - PH495
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...