Woohyung Lim is a renowned expert in AI and software engineering with an impressive academic and professional background.

He earned his Bachelor of Science degree in Electrical Engineering from Seoul National University (SNU) in 2000, followed by a Master’s (M.S.) and Ph.D. in Electrical Engineering and Computer Science from the same institution in 2002 and 2007, respectively.

His career began at Samsung Electronics, where he served as a Senior Software Engineer from September 2007 to April 2013. During this time, he made significant contributions to the development of multimedia and AI agent applications for Samsung's mobile devices.

In May 2013, he joined SK Telecom, dedicating nearly six years to advancing speech recognition research and leading the development of commercial voice agent services.

In March 2019, Woohyung became part of the LG Corporation group, and in December 2020, he joined LG AI Research as one of its founding members.

He currently serves as Head of LG AI Research, where he leads cutting-edge AI technology research and develops AI-driven solutions to optimize corporate decision-making and operational efficiency.

He has also been a general member of NAEK (the National Academy of Engineering of Korea) since January 2025.

His research interests include deep learning for prediction, optimization, representation learning, and other cutting-edge areas in AI, reflecting his commitment to advancing the field. He is confident that AI will bring about significant changes in society.

Data Intelligence (Intelligent Decision Making using AI)

• Artificial intelligence that helps make optimal decisions based on prediction, optimization, and reasoning techniques

  • Prediction

    • Prediction, Regression, Time-series Forecasting, Generative Models

  • Optimization

    • Deep Reinforcement Learning

  • Reasoning

    • Explainable AI, Causal Learning, Disentangled Representation Learning

  • Transfer Learning - Using knowledge with a lot of labelled data to a task with little labelled data

• Applications

  • Anomaly Detection, Demand/Sales/Raw Materials Price Forecasting, Process Optimization, Molecular Design, Reaction Prediction

Materials Intelligence (Materials Discovery and Design using AI)

• Artificial intelligence that helps make new materials based on prediction, and optimization techniques

• Applications

  • Universal Molecular Design, Neural Chemical Synthesis

LG AI Research (2025.07 ~ Present)

• Head of LG AI Research

The National Academy of Engineering of Korea (NAEK) (2025.01 ~ Present)

• General Member

LG AI Research (2022.12 ~ 2025.06)

• Research Group Leader / Vice President, Applied AI Research Group

• Time-Series Forecasting, Prediction, Anomaly Detection, Reinforcement Learning, Recommendation, Generative Models, Representation Learning

• Materials Intelligence, Materials Discovery, AI based Molecular Design, AI based Reaction Prediction, Pathology AI

• Vision Inspection, Document Understanding

• AI Service Platform

LG AI Research (2020.12 ~ 2022.11)

• Lab Leader / Vice President, Applied AI Research Lab

• Time-Series Forecasting, Prediction, Anomaly Detection, Reinforcement Learning, Recommendation, Generative Models, Representation Learning

LG Sciencepark (2020.09 ~ 2020.11)

• Lab Leader / Research Fellow, Data Intelligence Lab, AI Division

• Research Fellow

• Time-Series Forecasting, Prediction, Anomaly Detection, Reinforcement Learning, Generative Models, Representation Learning

LG Sciencepark (2019.03 ~ 2020.08)

• Research Fellow, AI Division

• Data Intelligence Task Leader

• Time-Series Forecasting, Prediction, Anomaly Detection, Reinforcement Learning, Generative Models, Representation Learning

SK Telecom (2013.05 ~ 2019.02)

• Principal Research Engineer, AI Tech. Unit

• Lead Acoustic Models and Front-end Processing Researcher

• Lead Speech Recognition Client/Server Software Architect

• NUGU Platform, Speech Recognition, Multi-Channel Speech Enhancement, Speech Recognition Client/Server

Samsung Electronics (2007.09 ~ 2013.04)

• Senior Software Engineer, Mobile Division

• S Voice (Speech Recognition and Natural Language Processing), S Translator (Machine Translation)

• Mobile Phone Multimedia Software Development (Video/Music Player, Video Telephony) 

Doctor of Philosophy, Machine Learning / Speech Recognition, Seoul National University (2007.08)

• Dissertation: "Statistical Approaches to Robust Speech Recognition in Adverse Environments"

• Projects: Robust Speech Recognition, Speech Enhancement, Speaker Adaptation, Audio Codec, Speech Synthesis, Disease of Vocal Cord and Larynx Detection, Cochlear Implant

Master's degree, Machine Learning / Speech Recognition, Seoul National University (2002.02)

• Thesis: "Score Normalization for Text-Independent Speaker Verification Systems"

• Projects: Robust Speech Recognition, Speech Synthesis, Cochlear Implant

Bachelor's degree, Electrical and Computer Engineering, Seoul National University (2000.02)

LG AI Research

• Document Understanding, 2024 ~

• Vision Inspection, 2024 ~

• Naphtha Scheduling Optimization, 2022 ~

• AI Based PCB Layout Design, 2021 ~

• Recommendation, 2021 ~

• Music Composer, 2021 ~

• Demand/Sales Forecasting, 2021 ~

• Battery Anomaly Detection, 2020 ~

• AI Materials Discovery, 2020 ~

• Battery Discharge Capacity Prediction, 2020 ~ 2022

• Network Quality Anomaly Detection, 2020 ~ 2021

• Battery Cycle-life Prediction, 2020 ~ 2021

• AI Drug Discovery, 2020 ~ 2021

SK Telecom

• NUGU Speech Recognition , 2015 ~ 2019

• T-map Speech Recognition, 2014 ~ 2019

• SK Broadband Settop Box Speech Recognition, 2014 ~ 2019

• FPGA Accelerator for Speech Recognition, 2017 ~ 2019

• Contact Center Speech-to-Text Solution, 2014 ~ 2019

• Voice Phishing Detection, 2018 ~ 2019

Samsung Electronics

• S Translator (Galaxy S4 ~), 2012 ~ 2013

• S Voice (Galaxy S3 ~), 2012 ~ 2013

• Multimedia Framework, 2007 ~ 2012

Google Scholar (https://scholar.google.co.kr/citations?user=gtvxdcUAAAAJ)

• H. Ihm, S. Han, W. Lim, "Composer AI with tap-to-pitch generator," Neurips Workshop on Machine Learning for Creativity and Design, Dec. 2021.

• S. Han, H. Ihm, W. Lim, "Symbolic Music Loop Generation with VQ-VAE," arXiv:2111.07657, Nov. 2021.

• S. S. Han, I. J. Moon, S. H. Kim, J.-I. Na, M. S. Kim, G. H. Park, I. Park, K. Kim, W. Lim, J. H. Lee, S. E. Chang, "Assessment of deep neural networks for the diagnosis of benign and malignant skin neoplasms in comparison with dermatologists: A retrospective validation study," PLoS medicine, Nov. 2020.

• S. S. Han, I. Park, S. E. Chang, W. Lim, M. S. Kim, G. H. Park, J. B. Chae, C. H. Huh, J.-I. Na, "Augmented Intelligence Dermatology: Deep Neural Networks Empower Medical Professionals in Diagnosing Skin Cancer and Predicting Treatment Options for 134 Skin Disorders," Journal of Investigative Dermatology, Mar. 2020.

• S. S. Han, I. J. Moon, W. Lim, I. S. Suh, S. Y. Lee, J.-I. Na, S. H. Kim, S. E. Chang, "Keratinocytic Skin Cancer Detection on the Face Using Region-based Convolutional Neural Network," JAMA Dermatology, Jan. 2020.

• M. Ahn, S. J. Hwang, W. Kim, S. Jung, Y. Lee, M. Chung, W. Lim, Y. Kim, "AIX: A High Performance and Energy Efficient Inference Accelerator on FPGA for a DNN-based Commercial Speech Recognition," Design, Automation & Test in Europe Conference & Exhibition, Mar. 2019.

• S. S. Han, W. Lim, M. S. Kim, I. Park, G. H. Park, S. E. Chang, "Interpretation of the Outputs of a Deep Learning Model Trained with a Skin Cancer Dataset," Journal of Investigative Dermatology, Oct. 2018.

• S. S. Han, M. S. Kim, W. Lim, G. H. Park, I. Park, S. E. Chang, "Classification of the Clinical Images for Benign and Malignant Cutaneous Tumors Using a Deep Learning Algorithm," Journal of Investigative Dermatology, Feb. 2018.

• S. S. Han, G. H. Park, W. Lim, M. S. Kim, J.-I. Na, I. Park, S. E. Chang, "Deep Neural Networks Show an Equivalent and Often Superior Performance to Dermatologists in Onychomycosis Diagnosis: Automatic Construction of Onychomycosis Datasets by Region-based Convolutional Deep Neural Network," PLOS ONE, Jan. 2018.

• W. Lim, C. W. Han, N. S. Kim, "Computationally Efficient Cepstral Domain Feature Compensation," IEICE TRANS. INF. & SYST., Jan. 2009.

• W. Lim, C. W. Han, J. W. Shin, N. S. Kim, "Cepstral Domain Feature Compensation based on Diagonal Approximation," ICASSP, Mar. 2008.

• K.-H. Lee, W. Lim, N.-S. Kim, J.-H. Chang, "GMM-Based Gender Identification Employing Group Delay," The Journal of the Acoustical Society of Korea, Aug. 2007.

• J. W. Shin, W. Lim, J. Sung, N. S. Kim, "Speech Reinforcement based on Partial Specific Loudness," INTERSPEECH, Aug. 2007.

• W. Lim, N. S. Kim, "Feature Compensation Incorporating Modeling Error Statistics," IEEE Signal Processing Letters, Jun. 2007.

• W. Lim, J. K. Kim, N. S. Kim, "Feature Compensation using More Accurate Statistics of Modeling Error," ICASSP, Apr. 2007.

• J.-H. Chang, W. Lim, N. S. Kim, "Signal Modification Incorporating Perceptual Weighting Filter," INTERSPEECH, Sep. 2006.

• Y. J. Kim, W. Lim, N. S. Kim, "Clean Speech Feature Estimation based on Soft Spectral Masking," INTERSPEECH, Sep. 2006.

• W. Lim, B. K. Kim, N. S. Kim, "Feature Compensation based on Switching Linear Dynamic Model and Soft Decision," INTERSPEECH, Sep. 2005.

• N. S. Kim, D. J. Seo, W. Lim, "An Approach to Robust Unsupervised Speaker Adaptation," IEEE Signal Processing Letters, May 2005.

• N. S. Kim, W. Lim, R. M. Stern, "Feature Compensation based on Switching Linear Dynamic Model," IEEE Signal Processing Letters, May 2005.

• Y. J. Kim, H. W. Kim, W. Lim, N. S. Kim, "Feature Compensation Technique for Robust Speech Recognition in Noisy Environments," INTERSPEECH, Sep. 2003.

• D. K. Kim, Y. J. Kim, W. Lim, N. S. Kim, "Online Adaptation using Speatransformation Space Model Evolution," ICASSP, Apr. 2003.

• W. Lim, N. S. Kim, "Bayesian Approach to Text Independent Speaker Verification," ICSP, Aug. 2001.

Google Scholar 

• "Apparatus for Cancellation of Acoustic Echo and Computer Program Therefore," Korea Patent, 2017.

• "Method and System for Supporting a Translation-based Communication Service and Terminal Supporting the Service," US Patent, 2016.

• "Method for Extracting Feature Parameter of Speech Recognition and Apparatus using the Same," Korea Patent, 2013.

• "Supporting Method And System For Communication Service, and Electronic Device Supporting the Same," Korea Patent, 2013.