Hariri Institute Award
The Rafik B. Hariri Institute for Computing and Computational Science & Engineering Summer Research Award is granted to individuals using data-driven or computational approaches in conducting research.
The Hariri Institute initiates, catalyzes, and propels collaborative, interdisciplinary research and training initiatives for a better society by promoting discovery and innovations through the use of computational and data-driven approaches, and advances in the science of computing inspired by challenges in arts and sciences, engineering, and management disciplines. The Institute strives to create and sustain a community of scholars who believe in the transformative potential of computational perspectives in research and education. Visit their website for more information: http://www.bu.edu/hic/
Summer 2016 Awardees
Project Title: The American Sign Language STEM Concept Learning Resource: Development of a Web-Based Educational Resource in the Fields of Science, Technology, Engineering, and Mathematics (STEM) for Deaf and Hard-of-Hearing students
Description: Lawrence will be researching and developing computer-based language learning tools for American Sign Language (ASL) students.
Mentor: Robert Hoffmeister, SED Deaf Studies
Project Title: Simulation of Aftershocks in the Olami-Feder-Christensen (OFC) earthquake model to find Omori’s Law’s critical exponent
Description: Using Computational Methods to analyze earthquakes and better understand Omori’s law of aftershocks, Sakib will be using the Olami-Feder-Christensen model to study the relationship between asperity distribution and periodicity and scaling for earthquakes.
Mentor: William Klein, CAS Physics
Project Title: Integration of the Datacenter Physical Layer into the MOC Monitoring System
Description: Currently, the data collected from the physical sensors within the MGHPCC (Massachusetts Green High Performance Computing Center: the datacenter which runs the MOC) is stored in a Redis database in a MGHPCC server, and duplicated in a server in Amazon Web Services. Trishita’s project involves integrating this data into the monitoring framework that PEAC Lab is building for the MOC (Massachusetts Open Cloud).
Mentor: Ayse Coskun, ENG Electrical & Computer Engineering