is a discipline that measures and evaluates
technological change with important policy implications
WE STUDY
TO PLAY WITH
FOR APPLICATIONS TO
KYU-WON LEE
Since 2018
HYEONG-JUN LEE
Since 2018
HEE-YOUNG PARK
Since 2018
YONG-SEOK JEON
Since 2018
Ye-Rim Choi
Since 2019
Seung-Min Paik
Since 2019
MOON-SU KIM
Since 2019
GYU-JIN KIM
Since 2020
HYUN-JIN JEONG
Since 2020
SOO-JEONG KWAK
Since 2020
ALUMNI
M.S. and Ph.D. Graduates
INSURTECH – A NEW VALUE CHAIN
: REALIZING THE SMART UNDERWRITING
– ESTIMATING LOSS/RETENTION RATIO FOR RISK ASSESSMENT
– RECOGNIZING HIDDEN PATTERNS IN APPLICATIONS & CLAIMS
– DISCOVERING NICHE SEGMENTS WITH ADAPTIVE PACKAGES
– REINFORCEMENT LEARNING ON FOREGONE TRAINING DATA
SMART MFG. – PREDICTIVE MAINT.
: FAULT DETECTION AND FAILURE PREDICTION
– ANOMALY DETECTION FOR BATTERY MANUFACTURING
– LOGISTICS OPTIMIZATION VIA PREDICTIVE MAINTENANCE
– DIGITAL TWIN PLATFORMS WITH PREDICTIVE ANALYTICS
SMART MFG. – INDEX DEVT.
: PRODUCTIVITY & ECONOMIC ASSESSMENT
– FORECASTING PRODUCTIVITY & ECONOMIC FEASIBILITY
– DECISION SUPPORT INDEX DEVELOPMENT WITH SIMULATION
– INTEGRATION OF THE INDEX INTO THE LEGACY SYSTEM
INDUSTRY 4.0s SMART SHIPYARD
– BUILDING SPEC MATCHING & RECOMMENDATION SYSTEM
– CHATBOT DEVELOPMENT FOR AUTOMATIC CORRESPONDENCE
– EARLY WARNING & OPTIMIZED SCHEDULING SYSTEM
– PREDICTION SYSTEM FOR SMART BIDDING
DJL package
Distance Measure Based
Judgment and Learning
GitHub repo
Feel Free to Reproduce
What We Have Published
TFDEA add-in
Technological Forecasting using
Data Envelopment Analysis
Technometrics @ 2020 All Rights Reserved