© 2019 Strange Loop
Let's get started with Deep Learning and the Internet of Things! We'll do hands-on exercises: you'll use a webcam and a neural network to recognize images, aggregate data, and run real-time IoT analytics. Our goal is to get you excited about IoT and Deep Learning, and to set you up for success with maker projects in your community after the conference.
Anoush Najarian is a Software Engineering Manager at MathWorks where she leads the MATLAB Performance Team. Anoush holds Master's degrees in Computer Science and Mathematics from the University of Illinois at Urbana-Champaign, and a Math and CS degree with Distinction from Yerevan State University in Armenia.
Anoush is the incoming Chair of the Board of Directors of CMG, professional organization of Performance Engineers, and the organizer of IMPACT conference, virtual conferences and hackathons on performance engineering.
Anoush taught maker classes Fun with Raspberry Pi and Robot Control with Simulink to hundreds of engineers, served as a STEM Ambassador at MIT Science Trivia Night and Boston Mini-Maker Faire. She owns a parsley plant connected to the Internet of Things via an Arduino, a Minecraft Server on Raspberry Pi, has integrated littleBits hardware with Minecraft worlds, built Google Cardboard VR games in Unity 3D, worked with AIY kits for image and voice recognition via cloud APIs, the Arduino Engineering Kit, LEGO Mindstorms and Sphero, and is exploring AI with Parrot mini-drones and mini-self-driving cars right now. More in blog posts: AI Hacks for the New Year and 12 Magic Maker Moments of the Year
Anoush was a speaker at GHC18, Grace Hopper Celebration of Women in Computing, where her team built the highly successful workshop Hands on with Deep Learning and IoT, two large sessions and awesome feedback, invited to universities and conferences, notably: