logo   Seung-Jong (Jay) Park
Dr. Fred H. Fenn Memorial Professor

Computer Science
Louisiana State University

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Since January 2021, I have been working as a Program Director at Computer and Information Science and Engineering (CISE) of National Science Foundation (NSF). And I am finding a graduate student(Ph.D. student) who has a capability to do research on Big Data, Deep Learning, networking and Cloud Computing areas. If you have interest, please send your resume describing your research experience.


E-mail : sjpark(at)lsu_dot_edu
Phone : 225.578.2209
Fax : 225.578.1465
Offices : Computer Science Offie at 3272B, Patrick Taylor Hall, Computer Science, Louisiana State University
CCT Office at 2009, Digital Media Center, Louisiana State University

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.


In general, I am interested in issues involving Networking and Data Intensive Computing.

  • Data Science based on Bigdata and Deep Learning
    • Developing large-scale distribtued data analysis tools for De Novo Whole Genome Assemblers and Error Corrections for 2nd and 3rd generation genome sequence data
    • Developing biomedical data (e.g. Mammogram, ECG, EEG) analysis tools based Deep Learning and high performance computing
  • Cyberinfrastructure for Data Intensive Computing
    • Developing frameworks for large-scale scientific applications (such as Computational Biology, Chemistry) using data intensive computing frameworks (such as Hadoop and Pregel) over cloud computing and high performance computing infrastructures
  • High Speed Networks for High Performance Computing
    • Designing new transport layer protocols and topology control schemes for High Performance Computing Applications over high speed networks, such as National Lamda Rail and LONI (Louisiana Optical Network Initiative)
  • Wireless Sensor/Ad-hoc Networks
    • Energy efficient reliable transport protocol
    • data dissemination using graph theory and optimal control
    • Improvement of transport protocol over ad hoc networks