Prof. Senjuti Basu Roy - Optimization for Collaborative Tasks

Organisé par : 

Sihem Amer-Yahia

Intervenant : 

Sihem Amer-Yahia (équipe SLIDE au LIG) et Prof. Senjuti Basu Roy (UW, USA)

Équipes : 
Information détaillée : 
Senjuti Basu Roy is an Assistant Professor at the Institute of Technology at the University of Washington Tacoma. Prior to joining UW in January 2012, she was a postdoctoral fellow at DIMACS at Rutgers University. Senjuti received her Ph.D. in Computer Science from UT Arlington in May 2011. Senjuti’s primary research interests lie in the area of data and content management with a focus on exploration, analytics, and algorithms. Her research has been published in premier database conferences and journals. Her past industrial experience includes working at Microsoft Research and IBM Research.


Résumé : 
In collaborative tasks, a group of individuals works together to achieve a common goal. 
Examples range from collaborative editing (e.g., paper co-authorship) to solution outsourcing (e.g., Netflix context).
Existing systems do not use the full potential of the available workforce to ensure low latency, low cost, high quality tasks and balanced load among workers.
We will describe ECCO our vision for a human-centric collaborative framework that offers new opportunities for formalizing optimization-guided collaboration.
We present task-centric and worker-centric optimization formulations and initial results for document translation and collaborative editing.