As a rising star, perovskite-based photovoltaics have been demonstrated to be the most promising solar technology for low-cost mass production through high-speed printing. The certified champion power-conversion efficiency (PCE) of perovskite solar cells (PVSCs) has been boosted to 25.7%, which is on par with the best performance of dominating silicon solar cells. However, PVSCs still must overcome a few obstacles before becoming economically competitive in the photovoltaic market. The primary challenges include instability causing reduction in lifetimes and lengthy annealing times limiting the mass production. In this project, undergraduate students research fellow will work with graduate students and postdoctoral research fellows to explo...
Course Credit?Yes - ECE 399 - 017
Dr. Cheng is looking for motivated undergraduate students to join his group. The students will participate in several projects funded by NSF, GLPF and UA. As an example, his group is developing new implantable material, sensors and machine learning algorithms in order to remotely monitor people with disabilities. The students should be familiar with engineering principles, programming and problem solving....
Paid Position?Yes - $10/hr
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
I am looking for a student who is interested in learning 3D modeling, CNC machining and extrusion molding. My lab has a very nice CNC machine, Tormach 440 (see here https://www.tormach.com/pcnc-440/). I plan to utilize this CNC machine to make plastic enclosures for the small wearable sensors. First, 3D models of enclosures and molds to make these enclosures need to be designed in Fusion 360 software. Then the molds need to be machined out of wax and tested. When the molds are fully tested, we will need to machine them from aluminum. The machined molds then will be used with a plastic extrusion machine to make enclosures. This is a rather involved project but a fun learning experience for anyone interested in advanced manufacturing....
The primary goal of this research is to conceptualize, design, fabricate, and deploy a robotic arm driven by the principles of tensegrity structures, providing a unique approach to robotic movement, flexibility, and adaptability. Tensegrity, a portmanteau of "tension" and "integrity", refers to structural systems that derive their stability from a balance between tension and compression components. In recent years, there has been a growing interest in applying the principles of tensegrity to the realm of robotics, primarily due to its potential advantages such as lightweight structures, increased flexibility, and adaptive resilience. Scope: Literature Review: Investigation of existing research related to tensegrity robotics, its prin...