I am a graduate student studying Robotics in the Laboratory of Computational Sensing and Robotics at Johns Hopkins University, passionate about designing technologies that enable increased accessibility. My current research focuses on designing cognitive workload aware dynamic interfaces to improve human-computer interaction.

My prior experiences involve research in point-of-care diagnostic device design and industry experience in technologies enabling accelerated R&D at global medical device and biotechnology companies.

I am seeking full-time research opportunities on human-computer interaction or AI teams focused on improving accessibility of AI applications. Please contact me if you have opportunities within this space at kshah31@jhu.edu.


Johns Hopkins University

Whiting School of Engineering, Laboratory for Computational Sensing and Robotics
M.S.E. in Robotics
Master’s Thesis: Cognitive Load Aware User Interfaces for Mixed Reality Environments

University of Pennsylvania

The Wharton School
B.S. in Economics, Concentration in Operations and Information Management

School of Engineering and Applied Sciences
B.S.E. in Bioengineering
Senior Desisgn: Automated Pancreatic Cancer Diagnostic

Recent News

My thesis work was accepted as a poster presentation at the 2020 Women in Machine Learning (WiML) workshop, co-located with NeurIPS.

Our paper, Feasibility of Image-based Augmented Reality Guidance of Total Shoulder Arthroplasty Using Microsoft HoloLens 1 wins Outstanding Paper Award at the MICCAI 2020 Joint Workshop on Augmented Environments for Computer Assisted Interventions

Our COVID-19 county-level summaries dataset wins the Kaggle COVID-19 Dataset Award

Our machine readable COVID-19 county-level summaries dataset aggregating data for 300+ variables is now available on Github. We hope that this dataset can support COVID-19 research.
Dataset Link
Paper Link

Our paper Proposing a framework for evaluating haptic feedback as a modality for velocity guidance is accepted to the Work-in-Progress track of the 2020 Haptics Symposium!
Paper Link