PhD candidate: 

• Hà Lê Ngọc Dung (Can Tho University, Can Tho City, Vietnam)

  • Duration: 11.2022 - present

  • Major: Information Systems. Topic: Motion Detection and Transfer Learning.

  • My role: co-supervision with Prof. Dr. Hiep Xuan Huynh

  • Publication: 

Master's Theses

2024

1. Ronak Gajjar (IU International University of Applied Sciences, Berlin Campus, Germany)

   • Duration: 05.2024 - 09.2024

   • Major: Data Science. Revolutionizing E-commerce Search: Comparing Diverse Machine Learning Methods for Automated Product Tagging and User Experience Enhancement.

2. Nicole Agnes Yiega Muswanya (IU International University of Applied Sciences, Berlin Campus, Germany)

   • Duration: 05.2024 - 09.2024

   • Major: Data Science. Enhancing Breast Cancer Diagnosis through Deep Learning-Based Classification of Mammograms.

3. Serkan Dikici (IU International University of Applied Sciences, Berlin Campus, Germany)

   • Duration: 04.2024 - 08.2024

   • Major: Data Science. Evaluating Amazon DeepAR and Meta Prophet in Electricity Demand Forecasting: A Practical Approach.

4. Mustafa Dogruer (IU International University of Applied Sciences, Berlin Campus, Germany)

   • Duration: 02.2024 - 07.2024

   • Major: Data Science. Topic: Fine Tuning Large Language Models for Scientific Domain Content Generation Using Low-Rank Adaptation (LoRa).

5. Aleksandra Nekhviadovich (RWTH Aachen University, Germany)

   • Duration: 02.2024 - 07.2024

   • Major: Computer Science. Topic: Psychomotor Feedback Engine: From Motion Distance to Error Detection.

   • Co-supervisor with Prof. Dr. Stefan Decker.

6. Samer El Hajj Hassan (IU International University of Applied Sciences, Berlin Campus, Germany)

   • Duration: 01.2024 - 04.2024

   • Major: Data Science. Topic:  The Digital Guardian: Leveraging Machine Learning for Identifying and Classifying Cyber Threats in Network Environments.

   • Publication:

     • Samer El Hajj Hassan, Nghia Duong-Trung (2024). Machine Learning in Cybersecurity: Advanced Detection and Classification Techniques for Network Traffic Environments. EAI Endorsed Transactions on Industrial Networks and Intelligent Systems (INIS). Q2 SCImago. link. DOI.

7. Hitesh Kotte (Saarland University, Saarbrücken, Germany)

1. • Duration: 09.2023 - 05.2024.

   • Major: Computer Science. Topic: Real-time Pose Estimation in Fitness.

   • Second examiner (Co-supervisor with Dr. Milos Kravcik and Prof. Dr. Antonio Krüger).

   • Publications:

     1. Abhishek Samanta, Hitesh Kotte, Patrick Handwerk, Khaleel Asyraaf Mat Sanusi, Mai Geisen, Milos Kravcik, Nghia Duong-Trung (2024). IMPECT-POSE: A Complete Front-end and Back-end Architecture for Pose Tracking and Feedback. In Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2024). ACM Digital Library. 1 - 4 July 2024. Cagliari, Sardinia, Italy. link. DOI.

     2. Hitesh Kotte, Florian Daiber, Milos Kravcik and Nghia Duong-Trung (2024). FitSight: Tracking and Feedback Engine for Personalized Fitness Training. In Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization (ACM UMAP 2024). ACM Digital Library. 1 - 4 July 2024. Cagliari, Sardinia, Italy. Acceptance ratio 22.6%.  link. DOI.

     3. Hitesh Kotte, Milos Kravcik, Nghia Duong-Trung (2023). Real-Time Posture Correction in Gym Exercises: A Computer Vision-Based Approach for Performance Analysis, Error Classification and Feedback. MILeS 2023 International Multimodal Immersive Learning Systems Workshop at Eighteenth European Conference on Technology Enhanced Learning (ECTEL 2023). September 4-6, 2023, Aveiro, Portugal. link.

     4. Nghia Duong-Trung, Hitesh Kotte, Milos Kravcik (2023). Augmented Intelligence in Tutoring Systems: A Case Study in Real-time Pose Tracking to Enhance the Self-Learning of Fitness Exercises. In Proceedings of the Eighteenth European Conference on Technology Enhanced Learning (ECTEL 2023). September 4-6, 2023, Aveiro, Portugal. link. DOI. Q2 SCImago.

2020

1. Trần Tú (Can Tho University, Can Tho City, Vietnam. M2518031)

   • Duration: 03.2020 - 10.2020

   • Major: Information Systems. Topic: Xây dựng hệ thống tư vấn học tốt bài trắc nghiệm khách quan.

   • Publication: Nghia Duong-Trung, Quynh Nhut Nguyen, Hiep Xuan Huynh (2020). Design and Implementation of an Intelligent Tutoring System for High-school Informatics Course. Hội thảo quốc gia lần thứ XXIII: Một số vấn đề chọn lọc của Công nghệ thông tin và truyền thông. November 5-6, 2020. Ha Long University, Quang Ninh, Vietnam.

2. Lâm Thanh Phương (Can Tho University, Can Tho City, Vietnam. M2518026)

   • Duration: 03.2020 - 10.2020

   • Major: Information Systems. Topic: Nhận dạng lá cây thuốc Nam với Deep Learning.

Bachelor's Theses

2019

• Trần Ngọc Tuyền (KHMT 2015)

  • Topic: Kết hợp mô hình học sâu và học chuyển cho bài toán phân loại hình ảnh x-quang chẩn đoán bệnh ung thư phổi.

  • Publication: Nghia Duong-Trung, Tuyen Tran Ngoc, Hiep Xuan Huynh (2019): Automated Pneumonia Detection in X-Ray Images via Depthwise Separable Convolution Based Learning. FAIR-Fundamental And Applied IT Research 2019. Hue, Vietnam.

• Đặng Thiên Tân (KHMT 2015)

  • Topic: Xây dựng mô hình máy học dự đoán hành vi mua sắm các sản phẩm ngày Black Friday của người dùng.

  • Publication: Nghia Duong-Trung, Tan Dang Thien, Tien-Dao Luu, Hiep Xuan Huynh (2019): Black Friday Sale Prediction via Extreme Gradient Boosted Trees. FAIR-Fundamental And Applied IT Research 2019. Hue, Vietnam.

• Bùi Thị Tú Trinh (KHMT 2015), Nguyễn Hoàng Xuân (KHMT 2015).

  • Co-supervision with Nguyễn Minh Kỳ (FPT Software, Can Tho city)

  • Topic: Xây dựng ứng dụng hỗ trợ chẩn đoán tình trạng sức khỏe dựa trên một số giải thuật học có giám sát.

  • Publication: Nghia Duong-Trung, Xuan Nguyen Hoang, Trinh Bui Thi Tu, Ky Nguyen Minh, Van Ut Tran, Tien-Dao Luu (2019). Blueprinting the Workflow of Medical Diagnosis through the Lens of Machine Learning Perspective. The 13th International Conference on Advanced Computing and Applications (ACOMP 2019). November 27-29, 2019. Ho Chi Minh city, Vietnam.

• Nguyễn Dương Thành Trí (KHMT2015)

  • Co-supervision with Nguyễn Minh Kỳ (FPT Software, Can Tho city)

  • Topic: Xây dựng ứng dụng Chatbot và hệ thống gợi ý vào chuỗi cửa hàng đồ ăn và thức uống