Promoting Smart Technologies in Public Safety and Transportation to Improve Social and Economic Outcomes in a US EDA-Designated Critical Manufacturing Region
From a technical perspective, this project proposes to build a multidisciplinary research team by integrating different research groups with significant research strength in the areas of High Performance Computing (LSU CCT), Big Data Analysis and Cybersecurity (Computer Science), Sensors (Electrical Engineering), Violence Prevention (Social Work and Sociology), and Transportation (Civil Engineering). The intellectual goal is to define challenging problems and develop research concepts via offline workshops, tutorials, and an online Web portal, which allows an easy access to integrative cyberinfrastructure for computing, storage, and software tools. The software tools we plan to develop will enable predictive analyses on heterogeneous data collected from city infrastructure, public open data from the city of Baton Rouge, and relevant social network data. The developed research concepts will increase the research capacity of every individual research group, enhance the understanding of cross-disciplinary demands, and advance state-of-art technologies for the design of smart and connected communities.
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Performance PeriodSeptember 2017 - August 2019
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Louisiana State University
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Award Number1737557
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Lead PISeung-Jong Park
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Co-PIKisung Lee
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Co-PIJagannathan Ramanujam
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Co-PIJudith Rhodes
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Co-PICecile Guin
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Co-PIChester Wilmot
Project Material
- A hybrid and scalable error correction algorithm for indel and substitution errors of long reads
- Deep Learning-Based Spatial Analytics for Disaster-Related Tweets: An Experimental Study
- ParLECH: Parallel Long-Read Error Correction with Hadoop
- Deep Generative Breast Cancer Screening and Diagnosis
- Towards Distributed Cyberinfrastructure for Smart Cities Using Big Data and Deep Learning Technologies
- GPU-Accelerated Large-Scale Genome Assembly
- A Distributed Semi-Supervised Platform for DNase-Seq Data Analytics using Deep Generative Convolutional Networks
I am a professor of the Division of Computer Science and Engineering at Louisiana State University. And I served as an Associate Director at the Center for Computation and Technology and a graduate advisor for the graduate program of CSE division. I received my Ph.D. from the school of Electrical and Computer Engineering at Georgia Institute of Technology, 2004. Before that, I also received a B.S. degree from Computer Science at Korea University, Seoul, Korea and a M.S. degree in Computer Science from KAIST (Korea Advanced Institute of Science and Technology), Teajon, Korea in 1993 and 1995, respectively. From 1995 to 2000, I worked for Shinsegi Telecomm, which is the first CDMA cellular service provider in the world and now merged into the SK Telecom.