preloder

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

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
GJK

GYU-JIN KIM

gyujin.kim@technometrics.biz
Since 2020
HJJ

HYUN-JIN JEONG

hyunjinjeong@skku.edu
Since 2020
SHS_bg

SEONG-HYUN SEO

seopd0901@g.skku.edu
Since 2022
DHY

DONG-HYUK YANG

wayne0831@g.skku.edu
Since 2023
JSJ_intern

JUN-SIK JEONG

jjs353928@g.skku.edu
Since 2024
JWS

JEONG-UK SEO

seojwjwjw@g.skku.edu
Since 2024
HSY_intern

HYE-SUNG YOO

yoohms@g.skku.edu
Since 2024
SJL

SUNG-JUNE LEE

lsjjack@g.skku.edu
Since 2024
SHK_bg

SEO-HYUN KIM

ashley5017@g.skku.edu
Since 2024
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 @ 2024 All Rights Reserved