Duy-Linh Nguyen

(Nguyễn Duy Linh)

About

Dr. Duy-Linh Nguyen

(Nguyễn Duy Linh)

  • Birthday: 30 Jan 1985
  • Phone: +82 010 5953 5249
  • Email: ndlinh301@mail.ulsan.ac.kr nguyenduylinhqbu@gmail.com
  • Address: 7-104, University of Ulsan, South Korea
  • Country: Vietnam
  • Hobby: Research, Sport, Music
  • Research Interest: Computer Vision, Machine Learning, Images Processing

Dr. DUY-LINH NGUYEN received a Bachelor of Engineering degree in Applied Informatics from the Vinh University of Technology Education, Vinh, Vietnam, in 2010; a Master’s in Computer Science from the University of Danang, Danang, Vietnam, in 2014; and a Ph.D. in Electrical Engineering from the Department of Electrical, Electronic, and Computer Engineering, University of Ulsan, Ulsan, South Korea, in 2023. After earning his Bachelor’s degree, he joined the Information Technology and Electrical Engineering Department, Quang Binh University (QBU), Quang Binh Province, Vietnam, as a Lecturer. He currently is with the Intelligent System Laboratory (ISLab), Department of Electrical, Electronic, and Computer Engineering, University of Ulsan. His research interests include object detection and recognition in computer vision based on machine learning.

Publications

Citations

H-index

i10-index

International Journal

2024

  1. Muhamad Dwisnanto Putro, Adri Priadana, Duy-Linh Nguyen, Kang-Hyun Jo, EMOTIZER: A Multi-pose Facial Emotion Recognizer Using RGB Camera Sensor on Low-cost Devices, IEEE Sensors, pp.1-11, November 2024.
  2. Duy-Linh Nguyen, Xuan-Thuy Vo, Adri Priadana, Jehwan Choi, Kang-Hyun Jo, An Efficient Detector for Automatic Tomato Classification Systems, IEEE Access, 2024.

2023

  1. Duy-Linh Nguyen, Muhamad Dwisnanto Putro and Kang-Hyun Jo, Lightweight CNN-Based Driver Eye Status Surveillance for Smart Vehicles, IEEE Transactions on Industrial Informatics, 2023.
  2. Duy-Linh Nguyen, Muhamad Dwisnanto Putro, Kang-Hyun Jo, Lightweight Convolutional Neural Network for Fire Classification in Surveillance System, IEEE Access, 2023.
  3. Duy-Linh Nguyen, Xuan-Thuy Vo, Adri Priadana, Kang-Hyun Jo, Car Detection for Smart Parking Systems Based on Improved YOLOv5, Vietnam Journal of Computer science, 2023.

2022

  1. Duy-Linh Nguyen, Muhamad Dwisnanto Putro, Kang-Hyun Jo, Facemask Wearing Alert System Based on Simple Architecture with Low-Computing Devices, IEEE Access, Vol.10, pp.29972-29981, 3 2022.
  2. Duy-Linh Nguyen, Muhamad Dwisnanto Putro, Kang-Hyun Jo, Driver Behaviors Recognizer based on Light-weight Convolutional Neural Network Architecture and Attention Mechanism, IEEE Access, Vol.10, pp.71019 - 71029, 6 2022.
  3. Muhamad Dwisnanto Putro, Duy-Linh Nguyen, Kang-Hyun Jo, An Efficient Face Detector on a CPU Using Dual-Camera Sensors for Intelligent Surveillance Systems, IEEE Sensors, Vol.22, No.1, pp.565 - 574, 1 2022.
  4. Muhamad Dwisnanto Putro, Duy-Linh Nguyen, Kang-Hyun Jo, A Fast CPU Real-time Facial Expression Detector using Sequential Attention Network for Human-robot Interaction, IEEE Transactions on Industrial Informatics, Vol.18, 11 2022.

Internataional conferences

2024

  1. Adri Priadana, Duy-Linh Nguyen, Xuan-Thuy Vo, Jehwan Choi, Kang-Hyun Jo, Wider Neighborhood-Aware Attention in Improving YOLOv8n for One-Stage Human Fall Detection, IECON 2024, Chicago, USA, Nov 3, 2024.
  2. Duy-Linh Nguyen, Xuan-Thuy Vo, Adri Priadana, Jehwan Choi, Kang-Hyun Jo, Pothole and Manhole Cover Detection for Road Safety Systems, IECON 2024, Chicago, USA, Nov 3, 2024.
  3. Xuan-Thuy Vo, Duy-Linh Nguyen, Adri Priadana, Kang-Hyun Jo, Efficient Vision Transformers with Partial Attention, ECCV 2024, Milano, Italy, Sep 29, 2024.
  4. Duy-Linh Nguyen, Xuan-Thuy Vo, Adri Priadana, Kang-Hyun Jo, Simple Human Fall Surveillance System Based on Person Detection, IWIS 2024, Ulsan, Korea, Aug 28, 2024.
  5. Adri Priadana, Duy-Linh Nguyen, Xuan-Thuy Vo, Cao Ge, Kang-Hyun Jo, Facial Attribute Recognition using Weighted Bottleneck Transformer for Intelligent Marketing, IWIS 2024, Ulsan, Korea, Aug 28, 2024.
  6. Xuan-Thuy Vo, Duy-Linh Nguyen, Adri Priadana, Kang-Hyun Jo, Refining Attention Maps for Vision Transformer, IWIS 2024, Ulsan, Korea, Aug 28, 2024.
  7. Duy-Linh Nguyen, Xuan-Thuy Vo, Adri Priadana, Jehwan Choi, Kang-Hyun Jo, Improved Tomato Detector Supporting for Automatic Harvesting Systems, CITA 2024 (Special Session on CV), Hoi An & Danang, Vietnam, Jul 19, 2024.
  8. Xuan-Thuy Vo, Duy-Linh Nguyen, Adri Priadana, Jehwan Choi, Kang-Hyun Jo, Multi-scale Convolutions Meet Group Attention for Dense Prediction Tasks, CITA 2024 (Special Session on CV), Hoi An & Danang, Vietnam, Jul 19, 2024.
  9. Jehwan Choi, Duy-Linh Nguyen, Xuan-Thuy Vo, Kang-Hyun Jo, Small Object Detection without Attention for Aerial Surveillance, CITA 2024 (Special Session on CV) CITA 2024, Hoi An & Danang, Vietnam, Jul 19, 2024.
  10. Adri Priadana, Duy-Linh Nguyen, Xuan-Thuy Vo, Ashraf Uddin Russo, Kang-Hyun Jo, EMPCNet: Facial Attribute Recognition using Efficient Multi-Perspective Convolution for Human?Robot Interaction, HSI 2024, Paris, France, Jul 8, 2024.
  11. Duy-Linh Nguyen, Xuan-Thuy Vo, Adri Priadana, Muhamad Dwisnanto Putro, Kang-Hyun Jo, Fruit Ripeness Detector for Automatic Fruit Classification Systems, ISIE 2024, Ulsan, Korea, Jun 18, 2024.
  12. Adri Priadana, Duy-Linh Nguyen, Xuan-Thuy Vo, Muhamad Dwisnanto Putro, Cao Ge, Kang-Hyun Jo, Simultaneous Facial Age Group and Gender Recognition using Efficient Local-Global Attention Network for Intelligent Advertising, ISIE 2024, Ulsan, Korea, Jun 18, 2024.
  13. Xuan-Thuy Vo, Duy-Linh Nguyen, Adri Priadana, and Kang-Hyun Jo, Reweighting Foveal Visual Representations, ISIE 2024, Ulsan, Korea, Jun 18, 2024.
  14. Muhamad Dwisnanto Putro, Adri Priadana, Duy-Linh Nguyen, Kang-Hyun Jo, Lightweight CPU-based Face detection with Efficient Feature Selector in Real-time Applications, ISIE 2024, Ulsan, Korea, Jun 18, 2024.
  15. Duy-Linh Nguyen, Xuan-Thuy Vo, Adri Priadana, Kang-Hyun Jo, Minor Object Recognition from Drone Image Sequence, IW-FCV2024, Tokyo, Japan, Feb 19, 2024.
  16. Adri Priadana, Duy-Linh Nguyen, Xuan-Thuy Vo, Kang-Hyun Jo, Human Facial Age Group Recognizer using Assisted Bottleneck Transformer Encoder, IW-FCV2024, Tokyo, Japan, Feb 19, 2024.
  17. Xuan-Thuy Vo, Duy-Linh Nguyen, Adri Priadana, and Kang-Hyun Jo, Bidirectional Local-to-Global Attentions for Visual Representation, IW-FCV2024, Tokyo, Japan, Feb 19, 2024.

2023

  1. Adri Priadana, Muhamad Dwisnanto Putro, Jinsu An, Duy-Linh Nguyen, Xuan-Thuy Vo, Kang-Hyun Jo, Facial Attribute Recognition using Lightweight Multi-Label CNN-Transformer Architecture for Intelligent Advertising, IECON 2023, Singapore, Oct 16, 2023.
  2. Duy-Linh Nguyen, Xuan-Thuy Vo, Adri Priadana, Kang-Hyun Jo, Vehicle Detector Based on YOLOv5 Architecture for Traffic Management and Control Systems, IECON 2023, Singapore, Oct 16, 2023.
  3. Duy-Linh Nguyen, Xuan-Thuy Vo, Adri Priadana, Kang-Hyun Jo, Simultaneous Person, Face, and Hand Detector Based on Improved YOLOv5, IWIS2023, Ulsan, Korea, Aug 9, 2023.
  4. Adri Priadana, Muhamad Dwisnanto Putro, Jinsu An, Duy-Linh Nguyen, Xuan-Thuy Vo, Kang-Hyun Jo, Gender Recognizer based on Human Face using CNN and Bottleneck Transformer Encoder, IWIS2023, Ulsan, Korea, Aug 9, 2023.
  5. Xuan-Thuy Vo, Duy-Linh Nguyen, Adri Priadana, and Kang-Hyun Jo, Hierarchical Vision Transformers with Shuffled Local Self-Attentions, IWIS2023, Ulsan, Korea, Aug 9, 2023.
  6. Duy-Linh Nguyen, Xuan-Thuy Vo, Adri Priadana, Kang-Hyun Jo, Car Detector Based on YOLOv5 for Parking Management, CITA 2023, Danang, Vietnam, Jul 28, 2023.
  7. Xuan-Thuy Vo, Jehwan Choi, Duy-Linh Nguyen, Adri Priadana, and Kang-Hyun Jo, Unifying Local and Global Fourier Features for Image Classification, ISIE 2023, Helsinki, Finland, Jun 19, 2023.
  8. Adri Priadana, Muhamad Dwisnanto Putro, Duy-Linh Nguyen, Xuan-Thuy Vo, Kang-Hyun Jo, Age Group Recognizer based on Human Face Supporting Smart Digital Advertising Platforms, ISIE 2023, Helsinki, Finland, Jun 19, 2023.
  9. Duy-Linh Nguyen, Xuan-Thuy Vo, Adri Priadana, Kang-Hyun Jo, YOLO5PKLot: A Parking Lot Detection Network Based on Improved YOLOv5 for Smart Parking Management System, IW-FCV 2023, Yeosu, South Korea, Feb 20, 2023.
  10. Xuan-Thuy Vo, Duy-Linh Nguyen, Adri Priadana, and Kang-Hyun Jo, Dynamic Circular Convolution for Image Classification, IW-FCV 2023, Yeosu, South Korea, Feb 20, 2023.
  11. Adri Priadana, Muhamad Dwisnanto Putro, Duy-Linh Nguyen, Xuan-Thuy Vo, Kang-Hyun Jo, Human Face Detector with Gender Identification by Split-based Inception Block and Regulated Attention Module, IW-FCV 2023, Yeosu, South Korea, Feb 20, 2023.

2022

  1. Muhamad Dwisnanto Putro, Duy-Linh Nguyen, Adri Priadana, Kang-Hyun Jo, An Efficient Multi-view Facial Expression Classifier Implementing on Edge Device, ACIIDS22, Ho Chi Minh, Viet Nam, Nov 28, 2022.
  2. Tran Tien Dat, Xuan-Thuy Vo, Duy-Linh Nguyen, Kang-Hyun Jo, Combination of Deep Learner Network with Transformer for 3D Human Pose Estimation, ICCAS 2022, Busan, Korea, Nov 27, 2022.
  3. Xuan-Thuy Vo, Tran Tien Dat, Duy-Linh Nguyen, Adri Priadana, and Kang-Hyun Jo, Balancing Multiple Object Tracking Objectives based on Learned Weighting Factors, MAPR 2022, Phu Quoc Island, Vietnam, Oct 13, 2022.
  4. Duy-Linh Nguyen, Muhamad Dwisnanto Putro, Xuan-Thuy Vo, Tran Tien Dat, Kang-Hyun Jo, Fire Warning Based on Convolutional Neural Network and Inception Mechanism, MAPR 2022, Phu Quoc Island, Vietnam, Oct 13, 2022.
  5. Tran Tien Dat, Xuan-Thuy Vo, Duy-Linh Nguyen, Kang-Hyun Jo, Efficient High-Resolution Network for Human Pose Estimation, IWIS 2022, University of Ulsan, Ulsan, South Korea, Aug 17, 2022.
  6. Duy-Linh Nguyen, Muhamad Dwisnanto Putro, Xuan-Thuy Vo, Tran Tien Dat, Kang-Hyun Jo, Robust Hand Detection Based on Convolutional Neural Network and Attention Module, IWIS 2022, University of Ulsan, Ulsan, South Korea, Aug 17, 2022.
  7. Xuan-Thuy Vo, Tran Tien Dat, Duy-Linh Nguyen, and Kang-Hyun Jo, A Study on Efficient Multi-task Networks for Multiple Object Tracking, IWIS 2022, University of Ulsan, Ulsan, South Korea, Aug 17, 2022.
  8. Muhamad Dwisnanto Putro, Adri Priadana, Duy-Linh Nguyen, Kang-Hyun Jo, A Real-time Face Detector on CPU Using Efficient Transformer, IWIS 2022, University of Ulsan, Ulsan, South Korea, Aug 17, 2022.
  9. Xuan-Thuy Vo, Tran Tien Dat, Duy-Linh Nguyen, and Kang-Hyun Jo, Multi-level Feature Reweighting and Fusion for Instance Segmentation, INDIN 2022, Perth, Australia, Jul 25, 2022.
  10. Muhamad Dwisnanto Putro, Adri Priadana, Duy-Linh Nguyen, Kang-Hyun Jo, A Faster Real-time Face Detector Support Smart Digital Advertising on Low-cost Computing Device, Advanced Intelligent Mechatronics (AIM), Sapporo, Hokkaido, Japan, Jul 11, 2022.
  11. Muhamad Dwisnanto Putro, Duy-Linh Nguyen, Adri Priadana, Kang-Hyun Jo, Fast Person Detector with Efficient Multi-level Contextual Block for Supporting Assistive Robot, ICPS 2022, University of Warwick in Coventry, United Kingdom, May 24, 2022.
  12. Tran Tien Dat, Xuan-Thuy Vo, Duy-Linh Nguyen, Kang-Hyun Jo, High-Resolution Network with Attention Module for Human Pose Estimation, ASCC 2022, Jeju, Korea, May 4, 2022.
  13. Muhamad Dwisnanto Putro, Duy-Linh Nguyen, Kang-Hyun Jo, A CPU-based Pedestrian Detector using Deep Learning for Intelligent Surveillance Systems, ICIT 2022, Shanghai, China , Mar 27, 2022.
  14. Xuan-Thuy Vo, Van-Dung Hoang, Duy-Linh Nguyen, and Kang-Hyun Jo, Pedestrian Head Detection and Tracking via Global Vision Transformer, IW-FCV 2022, Hiroshima, Japan, Feb 21, 2022.
  15. Duy-Linh Nguyen, Muhamad Dwisnanto Putro, Xuan-Thuy Vo, Kang-Hyun Jo, Convolutional Neural Network Design for Eye Detection under Low-illumination, IW-FCV 2022, Hiroshima, Japan, Feb 21, 2022.
  16. Binh-Giang Tran and Duy-Linh Nguyen, Simple and Efficient Convolutional Neural Network for Trash Classification, RICE, Hung Yen, Vietnam, March 2022.

2021

  1. Duy-Linh Nguyen, Muhamad Dwisnanto, PutroKang-Hyun Jo, Light-weight Convolutional Neural Network for Distracted Driver Classification, IECON 2021, Toronto, Canada, Oct 13, 2021.
  2. Duy-Linh Nguyen, Muhamad Dwisnanto Putro, Kang-Hyun Jo, Distracted Driver Recognizer with Simple and Efficient Convolutional Neural Network for Real-time System, ICCAS2021, Jeju, Korea, Oct 12, 2021.
  3. Muhamad Dwisnanto Putro, Duy-Linh Nguyen, Kang-Hyun Jo, A Fast Real-time Facial Expression Classifier Deep Learning-based for Human-robot Interaction, ICCAS2021, Jeju, Korea, Oct 12, 2021.
  4. Muhamad Dwisnanto Putro, Duy-Linh Nguyen, Kang-Hyun Jo, Efficient Face Detector Using Spatial Attention Module in Real-Time Application on an Edge Device, ICIC2021, Shenzhen, Guangdong, China, Aug 12, 2021.
  5. Xuan-Thuy Vo, Tran Tien Dat, Duy-Linh Nguyen and Kang-Hyun Jo, Regression-Aware Classification Feature for Pedestrian Detection and Tracking in Video Surveillance Systems, ICIC2021, Shenzhen, Guangdong, China, Aug 12, 2021
    6. .
  6. Xuan-Thuy Vo, Tran Tien Dat, Duy-Linh Nguyen, and Kang-Hyun Jo, Dynamic Multi-Loss Weighting for Multiple People Tracking in Video Surveillance Systems, INDIN2021, Palma de Mallorca, Spain, Jul 21, 2021.
  7. Duy-Linh Nguyen, Muhamad Dwisnanto Putro, Xuan-Thuy Vo, Kang-Hyun Jo, Triple Detector based on Feature Pyramid Network for License Plate Detection and Recognition System in Unusual Conditions, ISIE 2021, Miyako Messe, Kyoto, Japan, Jun 20, 2021.
  8. Duy-Linh Nguyen, Muhamad Dwisnanto PutroKang-Hyun Jo, Eye State Recognizer Using Light-weight Architecture for Drowsiness Warning, ACIIDS 2021, Phuket, Thailand, Apr 7, 2021.
  9. Muhamad Dwisnanto Putro,Duy-Linh Nguyen,Kang-Hyun Jo, Real-time Multi-view Face Masks Detector on Edge Device For Supporting Service Robots in the COVID-19 Pandemic, ACIIDS 2021, Phuket, Thailand, Apr 7, 2021.
  10. Xuan-Thuy Vo, Tran Tien Dat, Duy-Linh Nguyen and Kang-Hyun Jo, Stair-step Feature Pyramid Networks for Object Detection, IW - FCV 2021, Daegu, South Korea, Feb 21, 2021.
  11. Tran Tien Dat, Xuan-Thuy Vo, Duy-Linh Nguyen, Kang-Hyun Jo, Effcient Spatial-Attention module for human pose estimation, IW - FCV 2021, Daegu, South Korea, Feb 21, 2021.

2020

  1. Muhamad Dwisnanto Putro,Duy-Linh Nguyen, Kang-Hyun Jo, SGCNet: Spatial-Global Context Attention Network for Real-time Facial Expression Recognition, IWIS 2020, Ulsan, Korea, Dec 13, 2020.
  2. Duy-Linh Nguyen, Muhamad Dwisnanto, PutroKang-Hyun Jo, Proposed Light-weight Convolutional Neural Networks for Real-time Hand Gesture Detector, IWIS 2020, Ulsan, Korea, Dec 13, 2020.
  3. Duy-Linh Nguyen, Muhamad Dwisnanto Putro, Kang-Hyun Jo, Human Eye Detector with Light-weight and Efficient Convolutional Neural Network, ICCCI 2020, Da Nang, Viet Nam, Nov 30, 2020.
  4. Duy-Linh Nguyen, Muhamad Dwisnanto Putro, Kang-Hyun Jo, Eyes Status Detector Based on Light-weight Convolutional Neural Networks supporting for Drowsiness Detection System, IECON 2020, Marina Bay Sands Expo and Convention Centre, Singapore, Oct 18, 2020.
  5. Muhamad Dwisnanto Putro,Duy-Linh Nguyen,Kang-Hyun Jo, A Dual Attention Module for Real-time Facial Expression Recognition, IECON 2020, Marina Bay Sands Expo and Convention Centre, Singapore, Oct 18, 2020.
  6. Duy-Linh Nguyen, Muhamad Dwisnanto Putro, Kang-Hyun Jo, Hand Detector based on Efficient and Lighweight Convolutional Neural Network, ICCAS 2020, Busan, Korea, Oct 13, 2020.
  7. Muhamad Dwisnanto Putro,Duy-Linh Nguyen,Kang-Hyun Jo, Fast Eye Detector Using CPU Based Lightweight Convolutional Neural Network, ICCAS 2020, Busan, Korea, Oct 13, 2020.
  8. Muhamad Dwisnanto Putro,Duy-Linh Nguyen,Kang-Hyun Jo, Lightweight Convolutional Neural Network for Real-Time Face Detector on CPU Supporting Interaction of Service Robot, HSI 2020, Tokyo, Japan, Jun 6, 2020.

Skills

Python 100%
CSS 90%
JavaScript 85%
PHP/HTML 95%
C, C#, C++ 90%
Photoshop/Corel Draw 95%

Resume

Sumary

Dr. Duy-linh nguyen

Postdoctoral Researcher in AI and Computer Vision

  • Intelligent Systems Laboratory (ISlab),
    Department of Electrical, Electronic and Computer Engineering, University of Ulsan,
    7-104, 93 Daehak-ro, Nam-gu, Ulsan, Korea.

  • (+82) 010-5953-5249
  • ndlinh301@mail.ulsan.ac.kr

Education

Ph.D. in Electrical Engineering

Aug. 18, 2023

University of Ulsan, South Korea

Thesis: “Driver Eye Status Monitoring System Based on Lightweight Convolutional Neural Network Architectures for Low-computing Devices”,

Advisor: Prof. Kang-Hyun Jo

Master in Computer Science

Dec. 31, 2014

Danang University of Science and Technology, Vietnam

Thesis: “Constructing software for finding the similarities among documents”,

Advisor: Assoc. Prof. Vo Trung Hung

Engineer in Applied Informatics

Jun.30, 2010

Vinh University of Technology Education, Vietnam

Thesis: “Research Learning Object, Reload Editor tool to build lectures for distance learning”,

Advisor: MSc. Tran Thanh Phong

Professional Experience

Postdoctoral researcher

Aug. 2023 – Present

Intelligent Systems Laboratory (ISLAB), Department of Electrical, Electronic and Computer Engineering, University of Ulsan

  • Lead of the projects
  • Researcher

Ph.D. student

Sep. 2018 – Aug. 2023

Intelligent Systems Laboratory (ISLAB), Department of Electrical, Electronic and Computer Engineering, University of Ulsan

  • Ph.D student
  • Researcher

Researcher Member

Jul. 2016 – Sep. 2018

Intelligent Systems Laboratory (ISLAB), Quang Binh University, Quang Binh province, Vietnam

  • Researcher

Lecturer

Jul. 2013 – Sep. 2018

Faculty of Engineering - Information Technology, Quang Binh University, Quang Binh province, Vietnam

  • Lecturer
  • Researcher

Lecturer

Jul. 2010 – Jul. 2013

Faculty of Math - Information Technology, Quang Binh University, Quang Binh province, Vietnam

  • Lecturer
  • Researcher

Employee

Jul. 2007 – Nov. 2008

Computer Hardware Company, Quang Binh province, Vietnam

  • Technician

Research Activities

  • Reviewer (IEEE TII, IEEE TIE, IEEE SENSORS, IEEE ACCESS, VJCS, TJIT)
  • Session Organizer and Chair (CITA, ISIE, IWIS)
  • Presenter (ISIE, IECON, CITA, ICCCI, HSI, IWIS, IW-FCV, MAPR, ACIIDS)
  • Project Leader and Member

Awards

Best paper award

The 12th Conference on Information technology and its applications (CITA 2023),
Danang, Vietnam

Exellent Student Research Paper Award

The 30th International Workshop on Frontiers of Computer Vision (IW-FCV2024),
Tokyo, Japan

Best Presentation Paper Award

The International Workshop on Intelligent Systems (IWIS 2024),
Ulsan, South Korea

Best Student Paper Award

The 30th International Workshop on Frontiers of Computer Vision (IW-FCV2024),
Toky, Japan

Best Paper Award

the 5th International Conference on Multimedia Analysis and Pattern Recognition (MAPR2022),
Phu Quoc, Vietnam

Excellent Paper Award

STAIS2023,
Vinh, Vietnam

Supervisor and Partners

Prof. KANG-HYUN JO received a Ph.D. in Computer-controlled Machinery from Osaka University, Osaka, Japan, in 1997. After one year of experience with ETRI as a Postdoc toral Research Fellow, he joined the School of Electrical Engineering, University of Ulsan, Ulsan, South Korea, where he is currently the Faculty Dean of the School of Electrical Engineering. His research interests include computer vision, robotics, autonomous vehicles, and ambient intelligence. Dr. Jo was the Director or an AdCom Member of the Institute of Control, Robotics, and Systems and the Society of Instrument and Control Engineers; the Chair of the IEEE IES Technical Committee on Human Factors; an AdCom Member and the Secretary until 2019. He has also been involved in organizing many international conferences, such as the International Workshop on Frontiers of Computer Vision, the International Conference on Intelligent Computation, the International Conference on Industrial Technology, the International Conference on Human System Interactions, and the Annual Conference of the IEEE Industrial Electronics Society. He is currently an Editorial Board Member for international journals, such as the International Journal of Control, Automation, and Systems and Transactions on Computational Collective Intelligence.

Prof. Kang-Hyun Jo

Supervisor

Department of Electrical, Electronic and Computer Engineering, University of Ulsan, South Korea

Dr. Xuan-Thuy Vo received a B.S. degree in Electrical and Electronic Engineering from University of Science and Technology at the University of DaNang, Da Nang, Vietnam, in 2018. He received a Ph.D. at the Department of Electrical, Electronic, and Computer Engineering, University of Ulsan, South Korea, in 2024. He is currently working in the Intelligent Systems Laboratory, University of Ulsan as a Postdoctoral Researcher. His current research interests include computer vision and deep learning with a focus on efficient vision architectures, object detection, object segmentation, multiple object tracking, human action recognition, and multimodal learning.

Dr. Xuan-Thuy Vo

Department of Electrical, Electronic and Computer Engineering, University of Ulsan, South Korea

Mr. Adri Priadana received a Bachelor of Informatics Engineering (S.Kom.) degree from Amikom Yogyakarta University, Yogyakarta, Indonesia, in 2013, and a M.Cs. degree from the Department of Computer Science, Gadjah Mada University, Yogyakarta, Indonesia, in 2016. He is currently working toward a Ph.D. in Electrical Engineering in the Department of Electrical, Electronic, and Computer Engineering, University of Ulsan, Ulsan, South Korea. In 2018, he joined the Department of Engineering and Information Technology, Jenderal Achmad Yani Yogyakarta University. His current research interests include computer vision and deep learning, focusing on faces and facial attributes, and human action recognition.

Mr. Adri Priadana

Department of Electrical, Electronic and Computer Engineering, University of Ulsan, South Korea

Mr. Jehwan Choi received a Bachelor of Engineering degree in Electrical and Electronic Engineering from the University of Ulsan, Ulsan, South Korea, in 2021, and a Master’s degree in Electrical, Electronic, and Computer Engineering from the same university in 2023. He is currently pursuing a Ph.D. at the University of Ulsan and is affiliated with the Intelligent System Laboratory (ISLab), Department of Electrical, Electronic, and Computer Engineering. His research interests include AI, computer vision, and lightweight deep learning models for real-time drone surveillance and vehicle tracking applications.

Mr. Jehwan Choi

Department of Electrical, Electronic and Computer Engineering, University of Ulsan, South Korea

Dr. Muhamad Dwisnanto Putro received a B.Eng. (S.T.) degree in electrical engineering from Sam Ratulangi University, Manado, Indonesia, in 2010, and a M.Eng. degree from the Department of Electrical Engineering, Gadjah Mada University, Yogyakarta, Indonesia, in 2012. He graduated Ph.D. degree with the Department of Electrical, Electronic, and Computer Engineering, University of Ulsan, South Korea. In 2013, he joined the Department of Electrical Engineering, Sam Ratulangi University, as an Assistant Professor. His current research interests include computer vision and deep learning, which focuses on robotic vision and perception.

Dr. Muhamad Dwisnanto Putro

Department of Electrical Engineering, Sam Ratulangi University, Indonesia

Contact

Address

Intelligent Systems Laboratory (ISlab),
Department of Electrical, Electronic and Computer Engineering, University of Ulsan,
7-104, 93 Daehak-ro, Nam-gu, Ulsan, South Korea.

Call Us

(+82) 010-5953-5249

Email Us

ndlinh301@mail.ulsan.ac.kr
nguyenduylinhqbui@gmail.com

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