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 expected. 2. Applying Deep Learning techniques to the data analysis of the MoEDAL experiment at the LHC. The work involves operation of a GPU based computing system, application of convolutional neural networks for event classification. Prior experience with machine learning methods and/or with programming l...
Required AvailabilitySummer 2022
Course Credit?Yes - PH495
Preferred MajorsAerospace Engineer & Mechanics | Electrical Engineering Tech | Applied Physics | Computer Science | Physics | Aerospace Engineering | Computer Science | Electrical Engineering
Keywordsmachine learning | particle detectors | elementary particles | microfabrication
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....