Category: Seed Projects

Artificial Intelligence Augmented Microscopy:

Deep Learning Enabled Digital Immuno-Fluorescence Labeling for Intelligent Cell Phenotyping (Aim-Dif)

FALL 2018 RESEARCH INCUBATION AWARDEE PI: Lei Tian, Assistant Professor, Electrical and Computer Engineering Co-PI: Yi Ji, Assistant Professor, Medicine What is the Challenge? The specific problem we aim to tackle in this project is the fundamental multiplexing limitation in immunofluorescence (IF) microscopy that restricts imaging only a few types of molecular targets on the same biological sample […]

Spatial Dynamics of Private Land Conservation and Use: Towards Large-Scale Hypothesis Testing

FALL 2018 RESEARCH INCUBATION AWARDEE PI: Christoph Nolte, Assistant Professor, Earth & Environment Co-PI: Curtis Woodcock, Professor, Earth & Environment What is the Challenge? Voluntary private land protection is the single largest driver for the expansion of conserved land in the United States today, but significant concerns exist regarding its cost-effectiveness. Empirical studies have not […]

Towards Data Driven, Inexpensive and Reusable Sensors for Water Contamination Detection

FALL 2018 RESEARCH INCUBATION AWARDEE PI: Renato Mancuso, Assistant Professor, Computer Science Co-PI: Xi Ling, Assistant Professor, Chemistry What is the Challenge? Drinking water contamination is, sadly, a surprisingly widespread issue. According to a recently published report [1], nearly 77 million people in the U.S. — about a quarter of the total population — in 2015 […]

The China Christian Database: An Essential Digital Tool for the Cartography and Prosopography of Christianity in China

SPRING 2018 RESEARCH INCUBATION AWARDEE PI: Daryl Ireland, Research Assistant, Professor of Mission What is the Challenge? The study of Christianity in China is often met with the question, “What does Beijing have to do with Jerusalem?” Nationalist historiography and post-colonial theory have tended to relegate Christianity to the status of “foreign,” thus rendering it […]

Machine Learning for Multi-Functional Kirigami Metamaterials

SPRING 2018 RESEARCH INCUBATION AWARDEE PI: David Campbell, Professor, Physics, CAS What is the Challenge? Atomically thin two-dimensional (2D) materials such as graphene and MoS2 have been studied extensively due to their exceptional physical properties (mechanical strength, electrical and thermal conductivity, etc.). Recently, the PIs were among the first to investigate “kirigami”-based 2D metamaterials. These […]

Frontier Culture and Modern Politics in the U.S.: A Data-Driven Approach

SPRING 2018 RESEARCH INCUBATION AWARDEE PI: Samuel Bazzi, Assistant Professor, Economics Co-PI: Martin Fiszbein, Professor, Economics What is the Challenge? What is the influence of the American Frontier on historical culture and modern politics in the United States? New data shows that the American frontier fostered individualism and opposition to redistribution. In particular, previous work shows that these attributes, […]

Tools for Detection of DNA Genomic Structural Variants and Application to the Analysis of Human Whole Genome Sequencing Datasets

SPRING 2018 RESEARCH INCUBATION AWARDEES Pl: Gary Benson, Bioinformatics, Computer Science, Biology, CAS Collaborators: Paola Sebastiani, School of Public Health, SPH; Uwe Beffer, Biology, CAS The project aims to develop the mathematical tools necessary to assess and correct read mapping accuracy in repeat rich genomic regions. Additionally, the goal is to develop efficient algorithms to […]

SeCNet: Synthesis and Control for Networks of Trust

SPRING 2018 RESEARCH INCUBATION AWARDEES Pl: Wenchao Li, Electrical and Computer Engineering, ENG Co-Pl: Roberto Tron, Mechanical Engineering, ENG By taking advantage of the physical-sensing capabilities of robots, it is possible to craft a cyber-resilient network that can provide strong guarantees on the safety, reliability, security, and performance of the overall system. At the core […]

Team Formation: Algorithms and Practical Applications

SPRING 2018 RESEARCH INCUBATION AWARDEES Pl: Evimaria Terzi, Computer Science, CAS Co-Pl: Ziba Cranmer, Spark! The project aims to close the loop between the theory and practice of team-formation by developing the necessary computational concepts and eventual software that will enable the application of the team-recommendation algorithms to a variety of educational scenarios. Doing so will then […]

Data-Driven Design of Tough 3D Printed Structures

SPRING 2018 RESEARCH INCUBATION AWARDEES Pl: Emily Whiting, Computer Science, CAS Co-Pls: Keith Brown, Mechanical Engineering, ENG; Elise Morgan, Mechanical Engineering, ENG The project converges machine learning, physical experimentation, and design to address the general question of how to optimize a design when the fitness function can only be reliably determined through physical experimentation. Using a data-driven approach, it […]