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Farbod Moghaddam

LOCATION

Washington D.C.

PROFESSION

Device Engineer

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 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.

Podcast: Matching "Unmatchable" Fingerprints

In this episode, we talk about MIT researchers making a smart tool (like a robot scientist) that uses AI to understand and explain how other AI brains (neural networks) work.

Podcast: AI Model Tests AI Models To Tell Us How They Work

In this episode, we discuss the breakthrough in tissue engineering from Rensselaer Polytechnic Institute which enables the creation of skin tissue with functional hair follicles and its benefits to the medical field.

Podcast: Step Aside Rogaine, 3D Printed Hair Is Here

In this episode, we dive into our favorite episodes from the last year and present the first annual saucy awards!

Podcast: 2023 Recap & First Annual Saucies!

In this episode, we discuss an additive manufacturing breakthrough from MIT that enables inkjet printers to print soft materials that were deemed unsuitable before, print more accurately, and print ~660 times faster than comparable printer technologies!

Podcast: The 3D Printer That Teaches Itself To Print

In this episode, we discuss how active noise canceling technology works, what makes it so complex yet so useful, and why it is the unsung and underappreciated hero in your car.

Podcast: How To Make a Honda As Quiet As a Rolls Royce