Sangjin Kim, Ph.D.

•  Education      

  •   PhD in Statistics, University of Georgia, 2015 (Dissertation:  "Prioritizing Hypothesis Tests for High Throughput Data     with Multiple Testing    Methods"; Advisor:  Dr. Paul   Schiliekelman) 

  •  MS in Biostatistics, Brown University, 2009 (Thesis: "Confidence Interval for Coherence based on Bootstrap"; Advisor: Dr. Hernando Ombao)

  •  ScM in Computer Science, Brown University, 2008 (Thesis: A Global Credibility Measurein Pairwise Sequence Alignment"; Advisor: Dr. William Thompson)

  •   BA in Computer Science, City College of New York,      2005

• Career

  • University of Texas at El Paso: Department of Mathematical Sciecnes, Teneur Track Assistant professor(2017-2020)

  • Duke University: Department of Biostatistics & Bioinformatics, Postdoctoral Associate(2015-2017) 

•   Research

  •  Big Data Analysis

  •  Machine/Deep Learning Modeling 

 - Image, NLP, Sound, Object Detection, Outlier                   Detection, Recommendation System Modeling, LLM

• Editorial Board:

  • Measurement Journal, 한국지능정보시스템학회

• Guest Editor:

  •  Applied Sciences, Symmetry

•   Referee

  •   Mathematics, Electronics, Healthcare, Applied Sciences, International Journal of Evnironmental and Public Health

  • Financial Innovation, Scientific Reports

• Evaluation Committee

  •  IITP, TTA, BIPA, NRFK, Gyeongnam-TP, Pusan-TP,

  • 조달청 평가위원

  • 정보통신산업진흥원(NIPA) 평가위원

  • 범부처평가위원