NCSA Announces 2018-2019 Illinois Faculty Fellows

April 23, 2018

April 23, 2018 — The National Center for Supercomputing Applications (NCSA) at the University of Illinois at Urbana-Champaign has named Faculty Fellowship awardees for 2018-2019. These six Illinois faculty members will work with NCSA to investigate a wide array of subjects including cancer, agriculture, cinema, economics, civil infrastructure and more.

Each faculty member will work closely with experts at NCSA on a project that aligns with research focus areas and/or major projects (i.e., the Blue Waters projectXSEDE, the Midwest Big Data HubIndustry program).

2018-2019 NCSA Faculty Fellows

HETEROGENEOUS DATA ANALYTICS FRAMEWORK FOR PREDICTING THE DETERIORATION OF CIVIL INFRASTRUCTURE SYSTEMS

Nora El-GoharyCivil and Environmental Engineering
Civil infrastructure systems (CIS) data, like structured bridge inventory data, unstructured textual bridge inspection reports, traffic and weather data, etc. are most often analyzed in isolation by CIS decision makers. The overarching goal of El-Gohary’s project is to develop a novel computational data analytics framework which could be used for learning from multi-source heterogeneous data to enhance civil infrastructure system deterioration prediction and maintenance decision making.

LEARNING HUGE-SCALE DIFFUSION NETWORKS IN REAL-TIME

Niao HeIndustrial and Enterprise Systems Engineering
Current approaches to modeling and learning the temporal dynamics and recurrent behaviors of huge-scale diffusion networks, such as social networks, disease networks, and cyber-crime networks typically lack the flexibility and/or scalability to accommodate ever-growing massive event data. This leads to poor predictions of abnormal events, while accurate prediction is crucial in life-death related contexts such as healthcare and crime. He’s project aims to establish statistically and computationally efficient approaches that enable flexible modeling of diffusion processes using deep neural networks and to reinforce their scalability and wide applicability in the emerging healthcare and security analytics.

DEVELOPMENT OF MACHINE LEARNING-BASED ANALYTICS AND VISUALIZATION APPROACHES FOR PREDICTIVE TOXICOLOGY

Zeynep Madak-ErdoganFood Science and Human Nutrition
As new molecules such as pesticides are developed for the agriculture industry, they must be rigorously assessed for acute to chronic mammalian toxicity and risk to human health. In many cases, toxicity to human health is only detected during late stage of product development, resulting in major setbacks to agricultural R&D pipelines. Returning NCSA Faculty Fellow Madak-Erdogan aims to develop a machine learning approach for early prediction of mammalian toxicity of small molecules using gene expression data, specifically to identify early biomarkers of liver cancer due to liver toxicant exposure, a critical problem at the intersection of the agriculture industry and human health today.

INDIAN CINEMA IN CONTEXT: INTERACTIVE FILM HISTORY ARCHIVE AND TOOLS

Rini MehtaComparative and World Literature
Indian cinema, born in the early 1900s, has had a unique and interesting history, particularly with the recent and popular development of Bollywood, the Hindi film industry based in Bombay. The project Indian Cinema in Context (ICIC) proposes to build a set of tools to study the history and evolution of Indian cinema, the world’s largest film industry which produces more films annually than the combined output of the second and third nations on the list (U.S. and China).

A WORKSHOP TO JUMPSTART HIGH-PERFORMANCE COMPUTING IN FINANCE

Mao YeFinance
Modern financial markets generate vast amounts of data, and industry practitioners routinely apply big-data techniques to guide their decision. However, financial economists’ empirical tools have not kept pace with the markets they analyze. Ye’s project aims to stimulate collaborations among financial economists and high-performance computing experts via a workshop this summer, in hopes of catalyzing a solution for how supercomputing resources can be used to address new questions in financial economics.

OMIX DEVELOPMENT: A VISUAL ANALYTICS PLATFORM FOR MULTI-OMIC MICROBIOME DATA

Ruoqing ZhuStatistics 
Microbial communities have a significant impact on human health. Growing research has demonstrated the influence of the host microbiota in cancer and the interaction with the human immune system, which impacts potential diagnosis and treatment. Also, gastrointestinal microbiome perturbations and diet are independently linked to public health issues including obesity, nonalcoholic fatty liver disease, and type 2 diabetes. Zhu’s project aims to advance the development of the NCSA VI-Bio group’s prototype OmiX, an informatics tool which will enable scientists to study and better understand the microbiome-human interaction.

About the Faculty Fellows Program

The Faculty Fellows Program at NCSA provides an opportunity for faculty and researchers at the University of Illinois at Urbana-Champaign to catalyze and develop long-term research collaborations between Illinois departments, research units, and NCSA. This competitive program provides seed funding for demonstration or start-up projects, workshops, and/or other activities with the potential to lead to longer-term collaborations around research, development and education. Learn more about the Faculty Fellows program.

About NCSA

The National Center for Supercomputing Applications (NCSA) is a hub of transdisciplinary research and digital scholarship where University of Illinois faculty, staff, and students, and collaborators from around the globe, unite to address research grand challenges for the benefit of science and society. Current research focus areas are Bioinformatics and Health Sciences, Computing and Data Sciences, Culture and Society, Earth and Environment, Materials and Manufacturing, and Physics and Astronomy. Learn more about NCSA.


Source: NCSA

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