Gierad Laput | Apple

About

Update: I'm grateful for several amazing tenure-track faculty and industry job offers. I'm thrilled to announce that I'm taking the leap and will be joining Apple AI/ML!

I lead an Interactive Sensing + ML research group at Apple. Our mission is to imagine and create interactive technologies that make a profound impact on people, fueled by research in AI and sensing, novel devices, and intelligent user interfaces. My group is part of Apple AI and Machine Learning.

My group is hiring. I have positions available for interns (all-year), post-docs, visiting scholars, research scientists, and engineers.

Research Overview

Prior to Apple, I have published over 30 papers in interactive sensing and applied machine learning. My dissertation is titled: Context-Driven Implicit Interactions. The map below illustrates the breadth and depth of topics I have explored. My dissertation (purple track) is a culmination of several projects on practical, high-fidelity, and privacy-sensitive contextual sensing.

SELECTED PUBLICATIONS

I publish at premier academic venues in Human-Computer Interaction. Below are highlights (note: projects have no connections with Apple unless specified). See CV for a full list.

SurfaceSight

A New Spin on Touch, User, and Object Sensing for IoT Experiences. CHI 2019.
Paper Video Project

Hand Activities

Sensing Fine-Grained Hand Activity with Smartwatches. CHI 2019.
Paper Video Project

ViBand

High-Fidelity Bio-Acoustic Sensing Using Commodity Smartwatch Accelerometers. UIST 2016.
Paper Video Project

EM-Sense

Touch Recognition of Uninstrumented Electrical and Electromechanical Objects. UIST 2015.
Paper Video Project

Synthetic Sensors

Towards General-Purpose Sensing. CHI 2017.
Paper Video Project

Ubicoustics

Plug-and-Play Acoustic Activity Recognition. UIST 2018.
Paper Video Project

Zensors

Adaptive, Rapidly Deployable, Human-Intelligent Sensor Feeds. CHI 2015.
Paper Video Project

Vibrosight

Long-Range Vibrometry for Smart Environment Sensing. UIST 2018.
Paper Video

Crowd-AI Sensing

Crowd-AI Camera Sensing in the Real World. UBICOMP 2018.
Paper

Deus EM Machina

On-Touch Contextual Functionality for Smart IoT Appliances. CHI 2017.
Paper Video

Electrick

Low-Cost Touch Sensing Using Electric Field Tomography. CHI 2017.
Paper Video

SkinTrack

Using the Body as an Electrical Waveguide for Finger Tracking on the Skin. CHI 2016.
Paper Video Project

Skin Buttons

Cheap, Small, Low-Power and Clickable Fixed-Icon Laser Projections. UIST 2014.
Paper Video Project

AuraSense

Enabling Around-Smartwatch Interactions with Electric Field Sensing. UIST 2016.
Paper Video

SweepSense

Ad-Hoc Configuration Sensing Using Swept-Frequency Ultrasonics. IUI 2016.
Paper Video Project

Smart WatchFace

Expanding the Input Expressivity of Smartwatches Using Mechanical Pan, Twist, Tilt, and Click. CHI 2014.
Paper Video Project

Join the Group

My group's research agenda at Apple, combined with unmatched access to many of the world's most innovative products, puts us in a unique position to impact millions of people. I am looking for driven, highly creative, and highly collaborative candidates. I have positions available for interns, post-docs, visiting researchers, research scientists, and research engineers. I welcome candidates with backgrounds in HCI, machine learning, computer science, electrical engineering, and related fields. I strongly encourage candidates from non-traditional and underrepresented backgrounds to apply.

We have positions available in Cupertino, Seattle, and Pittsburgh.

Apply

© 2019. Gierad Laput.

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