Jaewoo Shin

305 N. University Street · West Lafayette, IN 47907
shin152 .at. purdue .dot. edu

I am a Ph.D. candidate in Computer Science at Purdue University under the supervision of Walid G. Aref and Jianguo Wang. I am interested in database systems, query processing and data indexing, specifically for spatial data. Currently, my research focus is on efficient secondary-key indexing techniques for update-intensive workloads in database systems. I am also working as a full-stack developer in Rosen Center for Advanced Computing at Purdue University and collaborating with researchers in various fields.

Education

Purdue University

Ph.D. Candidate in Computer Science
GPA: 3.94 / 4.0

West Lafayette, IN

August 2013 - Present

Stony Brook University

B.S. in Computer Science
GPA: 3.75 / 4.0

Stony Brook, NY

August 2011 - August 2013

Ajou University

B.S. in Information and Computer Engineering
GPA: 4.21 / 4.5

S. Korea

March 2006 - August 2011

Experience

Research Assistant

Purdue University
  • Thesis: Efficient LSM Secondary Indexing for Update-intensive Workloads
    Work on LSM indexing techniques to enhance update performance of the data indexed on the secondary key. ()
  • Provided an efficient indexing technique for spatial query processing by proposing a new data structure to achieve performance enhancements in distributed computing environments. ()
  • Developed LIMO (Learning Programming using Interactive Map Activities) system offering an environment for students to learn how to program by providing interactive map operations. (SIGSPATIAL2015 , )
  • Implemented a parallel computing framework using Apache Hadoop and Spark for Similarity Group-by operator, which extends the semantics of the standard SQL Group-by query.
August 2014 - Present

Senior Computational Scientist

Rosen Center for Advanced Computing (RCAC), Purdue University
  • Create software solutions for data-centric research applications and tools in collaboration with research groups.
  • Lead software developments that collect and manage large volumes of scientific data in a variety of formats and make the data usable for analysis, computation, and visualization by researchers.
  • Develop web-based science gateways that can index large volumes of scientific data efficiently to support interactive query, process, and delivery of data to end users.
October 2022 - Present

Graduate Administrative/Professional

Rosen Center for Advanced Computing (RCAC), Purdue University
  • Develop services for researchers in non-CS fields to manage, analyze and visualize data.
  • Perform requirements analysis, service design, and back-end/front-end developments using various frameworks, software, and environments.
  • List of projects that I am fully or partially involved:
  • Gallery
August 2014 - September 2022

Publications

  • Enabling Scalable and Reliable Real Time Data Services for Sensors and Devices in StreamCI

    Jaewoo Shin, Lan Zhao, Carol X. Song, Rajesh Kalyanam, Jian Jin, Jacob D. Hosen, Ananth Grama, and Dongyan Xu
    Gateways, 2022

  • PIOT-Hub: a collaborative cloud tool for generation of physical input–output tables using mechanistic engineering models

    Venkata Sai Gargeya Vunnava, Jaewoo Shin, Lan Zhao, and Shweta Singh
    Journal of Industrial Ecology, 2022

  • The LSM RUM-Tree: A Log Structured Merge R-Tree for Update-intensive Spatial Workloads

    Jaewoo Shin, Jianguo Wang, and Walid G. Aref
    Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE), 2021

  • An Investigation of Grid-enabled Tree Indexes for Spatial Query Processing

    Jaewoo Shin, Ahmed R Mahmood, and Walid G Aref
    Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2019

  • MyGeoHub — A Austainable and Evolving Geospatial Science Gateway

    Rajesh Kalyanam, Lan Zhao, Carol Song, Larry Biehl, Derrick Kearney, I. Luk Kim, Jaewoo Shin, Nelson Villoria, and Venkatesh Merwade
    Future Generation Computer Systems, 2019

  • Web-based Access, Aggregation, and Visualization of Future Climate Projections with Emphasis on Agricultural Assessments

    Nelson B Villoria, Joshua Elliott, Christoph Müller, Jaewoo Shin, Lan Zhao, and Carol Song
    SoftwareX, 2018

  • GABBs — Reusable Geospatial Data Analysis Building Blocks for Science Gateways

    Lan Zhao, Carol Song, Rajesh Kalyanam, Larry Biehl, Robert Campbell, Leif Delgass, Derrick Kearney, Wei Wan, Jaewoo Shin, I Luk Kim, et al.
    9th International Workshop on Science Gateways (IWSG), 2017

  • Rapid Aggregation of Global Gridded Crop Model Outputs to Facilitate Cross-disciplinary Analysis of Climate Change Impacts in Agriculture

    Nelson B Villoria, Joshua Elliott, Christoph Müller, Jaewoo Shin, Lan Zhao, and Carol Song
    Environmental Modelling & Software, 2016

  • LIMO: Learning Programming Using Interactive Map Activities

    Ruby Y Tahboub, Jaewoo Shin, Aya Abdelsalam, Jalaleldeen W. Aref, Walid G. Aref, and Sunil Prabhakar
    Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2015

  • On Map-centric Programming Environments: Vision Paper

    Walid G Aref, Sunil Prabhakar, Jaewoo Shin, Ruby Y Tahboub, Aya Abdelsalam, and Jalaleldeen W. Aref
    Proceedings of the 23rd SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL), 2015

Skills

Programming Languages
  • Java, Python, C/C++, JavaScript, PHP, HTML/CSS, Scala, R
Systems, Frameworks, and Libraries
  • Kubernetes, Docker
  • Hadoop, Spark, AsterixDB, MongoDB, MySQL, PostgreSQL, RabbitMQ, Grafana
  • AsterixDB, MongoDB, MySQL, PostgreSQL, InfluxDB
  • Node.js, OpenStreetMap, Leaflet

Honors and Awards

  • Young Professional of the Year Award

    Science Gateways Community Institute, 2018

  • Best Demonstration Award

    ACM SIGSPATIAL, 2015

  • Outstanding Academic Achievement Award

    Stony Brook University, 2012

  • Academic Scholarships

    Ajou University, 2009-2011