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[Colloquium] Scalable paradigms for scientific discovery and time-sensitive decision making in the era of Big Data

February 26, 2013

Watch Colloquium: 

M4V file (616 MB)

  • Date: Tuesday, February 26, 2013 
  • Time: 11:00 am — 11:50 am
  • Place: Mechanical Engineering 218

Trilce Estrada
University of Delaware Post-doctoral Researcher 

Nowadays, emerging distributed technologies enable the scientific community to perform large-scale simulations at a rate never seen before. The pressure those systems put on the scientists is twofold. First, they need to analyze the massive amount of data generated as a consequence of those computations. Second, scientists need to make sure they achieve meaningful scientific conclusions with the available resources, oftentimes by changing the course of an experiment at run-time. The first challenge implies the need of new and more efficient clustering and classification techniques that require at most linear time with respect to the amount of data generated. While the second challenge needs algorithms able to build knowledge from the data and make decisions on the fly, in a time-sensitive scenario.

In this talk I will present scalable algorithms that address both challenges; the first one in the context of a high-throughput protein-ligand docking application, and the second in the context of a Volunteer Computing system. I will conclude the talk with future directions of my research including an application for cancer detection that uses crowd sourcing to build its knowledge incrementally.


Bio: Trilce Estrada is currently a post-doctoral researcher in the Computer and Information Science Department at the University of Delaware, where she earned her PhD in 2012. Her research includes real-time decision-making for high-throughput multi-scale applications, scalable analysis of very large molecular datasets for drug design, and emulation of heterogeneous distributed systems for performance optimization. Trilce earned her MS in Computer Science and BS in Informatics from INAOE and Universidad de Guadalajara, Mexico, respectively. She is an active advocate of women in computing and current mentor of CISters@UD, a student initiative that promotes the participation of women in technology-related fields at her university.