In this episode, we discuss research coming out of George Mason University which could provide an affordable and accessible way to get clean water using spent coffee grounds as a filter!
15 minutes read
Farbod Moghaddam
About
Hello and thank you for visiting my profile! I'm a recent Mechanical Engineering graduate from George Mason University currently employed as a Device Engineer with a focus on automation at a leading international IoT company - Alarm.com. During my undergraduate career, I worked on sensor development using carbon nanomaterials (most notably graphene) and developed a corrosion detection robot for the DoD Corrosion Policy and Oversight Office for my senior year capstone project. My involvement with interdisciplinary projects further grew my curiosity about all STEM disciplines and I enjoy increasing the breadth of my knowledge through interacting with the STEM community and sharing newfound knowledge. If you're interested in collaborating on a project with me, or just discussing any of my interests (horology, cooking, and all things engineering) please shoot me a message! Best, Farbod
Latest Posts
In this episode, we discuss research coming out of George Mason University where the RobotiXX lab has been training robots to drive more like humans
16 minutes read
In this episode, we discuss a breakthrough from ETH Zurich to mimic natural foot signals to the brain using state of the art neuroprosthetics.
14 minutes read
In this episode, we discuss how CalTech researchers have created bionic jellyfish to help us explore the oceans and better understand the impacts of climate change.
16 minutes read
In this episode, we discuss how Dyson - the company best known for their vacuum cleaners - has created an automated and sustainable farm to harvest the best possible strawberries with the least amount of environmental impact.
19 minutes read
In this episode, we talk about how a driven undergraduate student from Columbia University mapped fingerprints from different fingers of the same person - which was widely known to be impossible by the experts in the field - using publicly available data and machine learning.
15 minutes read