I'm a PhD student at the L3S Research Center, Leibniz University Hannover, under the supervision of Prof. Eirini Ntoutsi.
My research interests are Fairness in Educational Data Mining and Learning Analytics.
| Authors | Title | Venue | Year | Link |
|---|---|---|---|---|
| Tai Le Quy, Arjun Roy, Vasileios Iosifidis, Wenbin Zhang, Eirini Ntoutsi | A survey on datasets for fairness-aware machine learning | WIREs Data Mining and Knowledge Discovery | 2022 |
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| Tai Le Quy, Arjun Roy, Gunnar Friege, Eirini Ntoutsi | Fair-Capacitated Clustering | The 14th International Conference on Educational Data Mining (EDM 2021) | 2021 |
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| Tai Le Quy, Eirini Ntoutsi | Towards fair, explainable and actionable clustering for learning analytics | The 14th International Conference on Educational Data Mining (EDM 2021) | 2021 |
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| Huyen Giang Thi Thu, Thuy Nguyen Thanh, Tai Le Quy | A Neighborhood Deep Neural Network Model using Sliding Window for Stock Price Prediction | International Conference on Big Data and Smart Computing (BIGCOMP 2021) | 2021 |
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| Bahman Askari, Tai Le Quy, Eirini Ntoutsi | Taxi Demand Prediction using an LSTM-based Deep Sequence Model and Points of Interest | 2020 IEEE 44th Annual Computers, Software, and Applications Conference (COMPSAC) | 2020 |
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| Tai Le Quy, Wolfgang Nejdl, Myra Spiliopoulou, Eirini Ntoutsi | A Neighborhood-Augmented LSTM Model for Taxi-Passenger Demand Prediction | International Workshop on Multiple-Aspect Analysis of Semantic Trajectories @ ECML-PKDD 2019 | 2019 |
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| Tai Le Quy, Sergej Zerr, Eirini Ntoutsiand, Wolfgang Nejdl | Data augmentation for dealing with low sampling rates in NILM | Proceedings of the 4th International Workshop on Non-Intrusive Load Monitoring, University of Texas, Austin, TX, USA | 2018 |
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Machine Learning
Data Mining
Fairness
Learning Analytics
Educational Data Mining
Time series
Spatio - Temporal Data Mining
IEEE BigData 2021 Student Travel Award
The PhD programme "LernMINT: Data-assisted teaching in the MINT subjects" supported by the Ministry of Science and Culture of Lower Saxony, Germany
The project on training PhD lecturers for universities and colleges in the period from 2010 to 2020 (Project 911), supported by the Ministry of Education and Training of Vietnam
Thesis title: Natural language processing in Vietnamese text summarization
Supervisors: Prof. Dr. Pham Bao SonThesis title: Data compression with error detection and correction
Supervisor: Dr. Nguyen Van Truong
Teaching assisstant
▪ Data Mining Lab (WS19/20)
▪ Seminar Data Mining (SS19)
▪ Data Mining I (SS17, SS18, SS19 )
▪ Seminar Advance Topic in Data Mining(WS17/18)
Student supervision
▪ B.Sc Thi Tu Nguyen, “Analysis of energy consumption data stream with deep learning”, WS 17/18
▪ M.Sc Bahman Askari, “Prediction of Taxi-Passenger Demand using Recurrent Neural Network", SS19
Teaching
▪ Programming fundamentals with C/C++
▪ Windows Programming with C#
▪ Data Structure and Algorithm
▪ Introduction to Informatics
Student supervision
▪ B.Sc Huong Nguyen Thu, “Decision trees in internal credit ratings”, 2012
▪ B.Sc Tinh Nguyen Thi, “Analysis and design of personal loan management system at Military Bank – West Hanoi Branch”, 2013
▪ B.Sc Huong Nguyen Thi, “ Analysis and design of cash accounting software for small and medium enterprises in Vietnam”, 2014
▪ B.Sc Trang Ngo Thi, “Analysis and design of warehouse management software at Tam Phuc Co., Ltd”, 2014
▪ B.Sc Van Bui Quynh, “ Developing the system of valuable paper depository at the State Bank of Vietnam”, 2015
▪ B.Sc Huyen Le Thi Thanh, “ Developing the one-stop administrative procedures software at the Department of Natural Resources and Environment of Bac Giang Province”, 2015
Our article A survey on datasets for fairness-aware machine learning has been published in Wiley Online Library.
I got the IEEE BigData 2021 Student Travel Award
Our research paper Fair-capacitated clustering has been accepted in the 14th International Conference on Educational Data Mining 2021.