CISE Seed Grant Awards
The Center for Information and 系统工程 (CISE) awards seed grants to affiliated CISE faculty to enable new innovative collaborations and development of new research directions. The program is designed to help faculty further research goals by funding graduate student researchers. Investigators are awarded for projects that: (1) have potential for future external funding, (2) are contingent on gathering initial results, proof of concept or significant data collection, and (3) display intention to develop new innovative collaborations and research directions.
The solicitation period is currently closed. Check back for announcements on the next solicitation period.
Funded Research Projects
CISE-ENG Seed Awards – Spring 2021
Solicitation Theme: Intelligent, Autonomous, and Secure Systems
Securing Wireless Ingestible Medical Devices
Learning from Interactions with Blind Users for Customized and Scalable Navigation Assistance Systems
Task-Directed Semantic Exploration with Sparse Sensing
EasyCSPeasy: Automatic XSS Prevention
CISE Seed Awards – Spring 2018
Robust Predictive Models of Fertility
PI: Ioannis Ch. Paschalidis, Professor (ECE, BME, SE), Boston University School of Engineering, Director, Center for Information & 系统工程
Co-PI: Shruthi Mahalingaiah, Assistant Professor (Obstetrics & Gynecology), Boston University School of Medicine
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Overlapping Graph Partitioning for Distributed Graph Mining
PI: Lorenzo Orecchia, Assistant Professor (CS) Boston University School of Engineering, CISE Affiliated Faculty
Co-PI: Charalampos E. Tsourakakis, Assistant Professor (CS) Boston University School of Engineering
The investigators plan to design novel, practical approximation algorithm for the problem of overlapping graph partitioning, a variant of the classical graph partitioning problems in which clusters are allowed to overlap, i.e., some vertices may belong to more than one cluster. This problem is of interest in the context of mining large networks, such as social networks, in which vertices may naturally belong to more than one cluster, i.e. community. The technique underlying our approach is a novel semidefinite programming relaxation, which is efficiently solvable and provably captures various objectives for overlapping graph partitioning. PI Orecchia and PI Tsourakakis are using this project to start a broader collaboration on graph partitioning. The PIs envision future grant submissions to the “Information Integration and Informatics” and the “Algorithmic Foundations” core program within CISE at NSF.
CISE Seed Awards – Fall 2018
Mathematical Modeling and Algorithms for Speeding up the Process of New Materials Development and Engineering
PI: Pirooz Vakili, Associate Professor (ME/SE) Boston University School of Engineering, CISE Affiliated Faculty
Co-PIs: Emily Ryan, Assistant Professor (ME/MSE) Boston University School of Engineering and Keith Brown, Assistant Professor (ME/MSE/Physics) Boston University School of Engineering
The goal of this project is to develop a keen understanding of a range of computational and experimental approaches for new materials development and engineering in order to: (i) Investigate how these problems can be formulated mathematically as learning and optimization problems, and (ii) Develop effective algorithms for optimal learning and optimization to speed up the process. This domain of application is fairly new for the PI, and apparently, the Center for Information and 系统工程. As will be pointed out, some ground work for the proposed project has been laid through newly established interactions and collaborations with colleagues involved in new materials development and engineering research. The aim is to leverage the work on the proposed project to develop credibility and competence in order to submit proposals in this area for external funding by the end of the project.
Seed Grant Report: Mathematical Modeling and Algorithms for Speeding up the Process of New Materials Development and Engineering