preloder

is a discipline that measures and evaluates
technological change with important policy implications

WE STUDY

tatistics
p t i m i z a t i o n

TO PLAY WITH

TR CS CONOM
DATA
A NG RN LE NE CH M

FOR APPLICATIONS TO

FORECASTING TECHNOLOGICAL
DEVELOPMENT NEW PRODUCT
MANAGEMENT OPERATIONS
KWL

KYU-WON LEE

leekw1994@skku.edu
Since 2018
HJL

HYEONG-JUN LEE

dylan1216@skku.edu
Since 2018
HYP

HEE-YOUNG PARK

qkrgmldud9@skku.edu
Since 2018
YSJ

YONG-SEOK JEON

flywade@skku.edu
Since 2018
YRC

Ye-Rim Choi

lvaidpy@g.skku.edu
Since 2019
SMB

Seung-Min Paik

smp1995@skku.edu
Since 2019
MSK

MOON-SU KIM

krk702@skku.edu
Since 2019
GJK

GYU-JIN KIM

gjkim0113@skku.edu
Since 2020
HJJ

HYUN-JIN JEONG

hyunjinjeong@skku.edu
Since 2020
SJK

SOO-JEONG KWAK

soojek48@skku.edu
Since 2020
Artboard 1

ALUMNI

TECHNOMETRICS Certified
M.S. and Ph.D. Graduates
R

DJL package

Distance Measure Based
Judgment and Learning

GitHub

GitHub repo

Feel Free to Reproduce
What We Have Published

TFDEA add-in

Technological Forecasting using
Data Envelopment Analysis

Technometrics @ 2020 All Rights Reserved