Yuhao Dong, PhD candidate
David R. Cheriton School of Computer Science
Steven Y. Feng
David R. Cheriton School of Computer Science
Zuhair AlSader, Master’s candidate
David. R. Cheriton School of Computer Science
Shane McIntosh, Department of Electrical and Computer Engineering
McGill University
Sachin Vernekar, Master’s candidate
David R. Cheriton School of Computer Science
Khaled Ammar, PhD candidate
David R. Cheriton School of Computer Science
Differential Computation (DC) has shown strong performance for maintaining the answer of different data flow queries as data change over time.
Ashish Gaurav, Master’s candidate
David R. Cheriton School of Computer Science
Aravind Balakrishnan, Master’s candidate
David R. Cheriton School of Computer Science
Jacob Gardner, Research Scientist
Uber AI Labs
Wei Tao Chen, Master’s candidate
David R. Cheriton School of Computer Science
Ivana Kajić, PhD candidate
David R. Cheriton School of Computer Science
Ryan Smith, Associate investigator
Laureate Institute for Brain Research
Meng Xu, School of Computer Science
Georgia Institute of Technology
Silvia Abrahão, Department of Computer Science
Universitat Politècnica de València
Alex Williams, PhD candidate
David R. Cheriton School of Computer Science
Peoples’ work lives have become ever-populated with transitions across tasks, devices, and environments. Despite their ubiquitous nature, managing transitions across these three domains has remained a significant challenge. Current systems and interfaces for managing transitions have explored approaches that allow users to track work-related information or automatically capture or infer context, but do little to support user autonomy at its fullest.
Sajjad Rizvi, PhD candidate
David R. Cheriton School of Computer Science
Alex Williams, PhD candidate
David R. Cheriton School of Computer Science