Sajid Sadi is Vice President of Research at Samsung Research America and head of the Think Tank Team, a truly multidisciplinary team with a mandate to create new business opportunities and models for Samsung. He focuses on tapping into new insights from the realms of science, technology, design, and strategy; creating business opportunities from cutting edge technologies; and solving complex technical and design challenges to make those opportunities achievable. His direct insights and contributions range from the introduction of wearables to Samsung (including the ring interface of the Gear S2), to professional 360/3D imaging, to health-sensing algorithms, interaction technologies, user experience, and mechanical engineering and more, and has led to 70+ patent applications and many new product verticals for Samsung. Most recently, he has brought his focus to the area of consumer robotics, and is working to bring practical robotic technology to the home. Before joining Samsung, he co-founded and served as CTO at his startup, Tikatok, which was successfully acquired by Barnes & Noble. While there, he did pioneering work in HTML5 and Web 2.0 technologies, and evangelized and drove the recommendation-driven UI released in the Nook e-reader device in 2011. To this day, Tikatok continues to inspire millions of children across the US to better learn Social Studies.  Sajid holds a MS and PhD from the MIT Media Lab, and a BS in computer science from Columbia University. His doctoral research used advanced smart devices to change human behavior based on subtle nudges delivered in real time and was shown to be effective for eco-awareness, online behavior, spending, and even eating habits. During his time at MIT, he worked with companies such as Proctor & Gamble, Hallmark, Bank of America, and many others and also showcased his word around the world in forums such as Ars Electronica Linz, CES, and many others. Before the Media Lab, he researched AR interaction at Columbia University, and developed techniques to understand functional near-infrared imaging data at the University of Pennsylvania.