See veebileht kasutab küpsiseid kasutaja sessiooni andmete hoidmiseks. Veebilehe kasutamisega nõustute ETISe kasutustingimustega. Loe rohkem
Olen nõus
31.08.1984
yeongwook.yang@ut.ee
I am a senior researcher in the Center of Educational Technology at University of Tartu. My research is in Machine Learning and Artificial Intelligence, particularly recommender systems, adaptive systems, educational data mining, and information filtering system.

I received my bachelor and master degree in Software Engineering and Computer Science Education from Hanshin and Korea University in South Korea, respectively. My Ph.D is from Computer Science and Engineering Department at Korea University, South Korea, in 2018 with a thesis on recommender systems.

Before coming to Estonia, I had worked as a Research Professor and a part time lecturer in Computer Science Department at Korea University in Seoul, South Korea.

Teenistuskäik

Töökohad ja ametid
13.09.2019–31.08.2020   
Tartu Ülikool, Sotsiaalteaduste valdkond, haridusteaduste instituut, õpianalüütika vanemteadur (1,00)
01.09.2018–01.09.2019   
Department of Computer Science and Engineering, Korea University, Research Professor in Human Inspired AI & Computing (1,00)
31.12.2011–31.08.2018   
Department of Computer Science and Engineering, Korea University, Research and Development in Natural Language Processing & AI lab (1,00)
 
 
Haridustee
2011–25.08.2018   
Ph. D. in Computer Science and Engineering, Korea University, Seoul, Korea
01.03.2009–25.08.2011   
M.S. in Computer Science Education, Korea University, Seoul, Korea
01.03.2003–27.08.2009   
B.S. in Software, Hanshin University, Osan, Korea
 
 
Teadusorganisatsiooniline ja -administratiivne tegevus
2019−...   
Educational Data Mining
2018−2018   
A research on personalized recommendation algorithm based on deep-learning
2018−2019   
Research and Development of Human-inspired multiple intelligence
2016−2018   
A Development of UI/UX Technology Adapted on Cognitive Response for enjoying culture of Smart Senior
2016−2019   
Building a training data set and development of end-to-end learning based Korea dialog system for sustainable improvement of domain oriented Korea dialog system
2016−2019   
A research and development of the personalized content consumption path recommendation model considering the change of user preference
2014−2017   
Development of distribution and diffusion service technology through individual and collective Intelligence to digital contents
2011−2013   
Development of plug-in structured software for Smart Education

Kvalifikatsioon

Teadustöö põhisuunad
ETIS KLASSIFIKAATOR: 4. Loodusteadused ja tehnika; 4.6. Arvutiteadused; CERCS KLASSIFIKAATOR: P176 Tehisintellekt ; TÄPSUSTUS: Recommender System, Information Filtering system, User Modeling, Applied Machine learning, Educational data mining

Publikatsioonid

Klass
Aasta
Publikatsioon
 
1.1.
2020
1.1.
2020
1.1.
2020
1.1.
2020
1.1.
2020
1.1.
2020
1.1.
2019
1.1.
2019
1.1.
2019
1.1.
2019
1.2.
2018
1.1.
2016
1.1.
2016
2.07.2020
31.08.1984
yeongwook.yang@ut.ee
I am a senior researcher in the Center of Educational Technology at University of Tartu. My research is in Machine Learning and Artificial Intelligence, particularly recommender systems, adaptive systems, educational data mining, and information filtering system.

I received my bachelor and master degree in Software Engineering and Computer Science Education from Hanshin and Korea University in South Korea, respectively. My Ph.D is from Computer Science and Engineering Department at Korea University, South Korea, in 2018 with a thesis on recommender systems.

Before coming to Estonia, I had worked as a Research Professor and a part time lecturer in Computer Science Department at Korea University in Seoul, South Korea.

Career

Institutions and positions
13.09.2019–31.08.2020   
University of Tartu, Faculty of Social Sciences, Institute of Education, Senior Research Fellow in Learning Analytics (1,00)
01.09.2018–01.09.2019   
Department of Computer Science and Engineering, Korea University, Research Professor in Human Inspired AI & Computing (1,00)
31.12.2011–31.08.2018   
Department of Computer Science and Engineering, Korea University, Research and Development in Natural Language Processing & AI lab (1,00)
 
 
Education
2011–25.08.2018   
Ph. D. in Computer Science and Engineering, Korea University, Seoul, Korea
01.03.2009–25.08.2011   
M.S. in Computer Science Education, Korea University, Seoul, Korea
01.03.2003–27.08.2009   
B.S. in Software, Hanshin University, Osan, Korea
 
 
R&D related managerial and administrative work
2019−...   
Educational Data Mining
2018−2018   
A research on personalized recommendation algorithm based on deep-learning
2018−2019   
Research and Development of Human-inspired multiple intelligence
2016−2018   
A Development of UI/UX Technology Adapted on Cognitive Response for enjoying culture of Smart Senior
2016−2019   
Building a training data set and development of end-to-end learning based Korea dialog system for sustainable improvement of domain oriented Korea dialog system
2016−2019   
A research and development of the personalized content consumption path recommendation model considering the change of user preference
2014−2017   
Development of distribution and diffusion service technology through individual and collective Intelligence to digital contents
2011−2013   
Development of plug-in structured software for Smart Education

Qualifications

Fields of research
ETIS CLASSIFICATION: 4. Natural Sciences and Engineering; 4.6. Computer Sciences; CERCS CLASSIFICATION: P176 Artificial intelligence ; SPECIFICATION: Recommender System, Information Filtering system, User Modeling, Applied Machine learning, Educational data mining

Publications

Category
Year
Publication
 
1.1.
2020
1.1.
2020
1.1.
2020
1.1.
2020
1.1.
2020
1.1.
2020
1.1.
2019
1.1.
2019
1.1.
2019
1.1.
2019
1.2.
2018
1.1.
2016
1.1.
2016
2.07.2020

Otsi publikatsiooni

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PublikatsioonAutoridAastaVäljaande pealkiriKlassifikaatorFailAsutused
A group preference-based item similarity model: comparison of clustering techniques in ambient and context-aware recommender systemsYang,Yeongwook; Hooshyar, Danial; Jo, Jaechoon; Lim, Heuiseok 2020Journal of Ambient Intelligence and Humanized Computing1.1.Tartu Ülikool, Sotsiaalteaduste valdkond, haridusteaduste instituut
Ancient Korean Neural Machine TranslationPark, Chanjun; Lee, Chanhee; Yang, Yeongwook; Lim, Heuiseok2020IEEE Access1.1.Tartu Ülikool, Sotsiaalteaduste valdkond, haridusteaduste instituut
Comparison of the Evaluation Metrics for Neural Grammatical Error Correction With OvercorrectionPark, Chanjun; Yang, Yeongwook; Lee, Chanhee; Lim, Heuiseok2020IEEE Access1.1.Tartu Ülikool, Sotsiaalteaduste valdkond, haridusteaduste instituut
Neural spelling correction: translating incorrect sentences to correct sentences for multimediaPark, Chanjun; Kim, Kuekyeng; Yang, YeongWook; Kang, Minho; Lim, Heuiseok2020Multimedia Tools and Applications1.1.Tartu Ülikool, Sotsiaalteaduste valdkond, haridusteaduste instituut
Prediction of students’ procrastination behaviour through their submission behavioural pattern in online learningYang, Yeongwook; Hooshyar, Danial; Pedaste, Margus; Wang, Minhong; Huang, Yueh-Min; Lim, Heuiseok2020Journal of Ambient Intelligence and Humanized Computing1.1.Tartu Ülikool, Sotsiaalteaduste valdkond, haridusteaduste instituut
Unifying user preference and item knowledge-based similarity models for top-N recommendationYang, Yeongwook; Jo, Jaechoon; Lim, Heuiseok2020Personal and Ubiquitous Computing1.1.Tartu Ülikool, Sotsiaalteaduste valdkond, haridusteaduste instituut
AutoThinking: An Adaptive Computational Thinking GameHooshyar, Danial; Lim, Heuiseok; Pedaste, Margus; Yang, Kisu; Fathi, Moein; Yang, Yeongwook2019Innovative Technologies and Learning1.1.Tartu Ülikool, Sotsiaalteaduste valdkond, haridusteaduste instituut
GPS: Factorized group preference-based similarity models for sparse sequential recommendationYang, Yeongwook; Hooshyar, Danial; Lim, Heui Seok2019Information Sciences1.1.Tartu Ülikool, Sotsiaalteaduste valdkond, haridusteaduste instituut
Long-term effects of adaptive customization support on elderly peopleHooshyar, Danial; Lee, Seolhwa; Yang, YeongWook; Jo, Jaechoon; Lim, Heuiseok2019Cognition, Technology & Work1.1.Tartu Ülikool, Sotsiaalteaduste valdkond, haridusteaduste instituut
Mining Educational Data to Predict Students’ Performance through Procrastination BehaviorHooshyar, Danial; Pedaste, Margus; Yang, Yeongwook2019Entropy1.1.Tartu Ülikool, Sotsiaalteaduste valdkond, haridusteaduste instituut
A Study on the Development of Game-Based Mind Wandering Judgment Model in Video Lecture-Based EducationJaechoon Jo; Yeongwook Yang; Heuiseok Lim2018Proceedings of Engineering and Technology Innovation1.2.Tartu Ülikool, Sotsiaalteaduste valdkond, haridusteaduste instituut
A study on factor analysis to support knowledge based decisions for a smart classJo, Jaechoon; Park, Jeongbae; Ji, Hyesung; Yang, Yeongwook; Lim, Heuiseok2016Information Technology and Management1.1.Tartu Ülikool, Sotsiaalteaduste valdkond, haridusteaduste instituut
Predicting Second Language Proficiency Level Using Linguistic Cognitive Task and Machine Learning TechniquesYang, YeongWook; Yu, WonHee; Lim, HeuiSeok2016Wireless Personal Communications1.1.Tartu Ülikool, Sotsiaalteaduste valdkond, haridusteaduste instituut