PHẠM NGỌC HƯNG

CONTACT INFORMATION

Lecturer, PhD.      
Department of Computer Engineering
School of Information and Communication Technology
Hanoi University of Science and Technology

B1-502, No 1 Dai Co Viet Road, Hanoi, Vietnam
Email: hungpn@soict.hust.edu.vn

 

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EDUCATIONS

 

2014-2017

Ph.D. Shibaura Institute of Technology, Japan

 

Thesis title: Learning and Executing Everyday Task from Instruction Manual and Human Demonstration

2008-2010

M.Sc. (Information Processing and Communications)
Hanoi University of Science and Technology

 

Thesis title: Generating human motion for humanoid robot using motion capture system in real time

2003-2008

B.Eng. (Information Technology)
Hanoi University of Science and Technology

 

Thesis title: Design and develop a multi-hops wireless sensor network using RF transceiver modules


RESEARCH INTERESTS

- Robotics, Intelligent Robot Systems, Learning from Demonstration

- Embedded System (Website: https://sites.google.com/site/embedded247/)

- Image Processing

- Machine Learning

TEACHING

- IT1110 Introduction to Information Technology (Tin học Đại cương)

- IT3270E Logic Circuit Lab

- IT4210 Embedded System (Hệ nhúng)

- IT4786 System Programming (Lập trình Hệ thống)

- IT4272E Computer Systems (Hệ thống Máy tính)

- IT4160 Microprocessor (Vi xử lý)

PUBLICATION

[1] Pham Ngoc Hung, Takashi Yoshimi, "Extracting actions from instruction manual and testing their execution in a robotic simulation", ASEAN Engineering Journal Part A, Vol.6, No.1, page 47-58, 2016.

[2] Pham Ngoc Hung, Takashi Yoshimi, "Adaptive Learning of Hand Movement in Human Demonstration for Robot Action", Journal of Robotics and Mechatronics, Vol.29 No. 5, page. 919-927, 2017.

[3] Pham Ngoc Hung, Takashi Yoshimi, "Evaluation of the actions extracted from instruction manual and development of simulation environment for implementing robot actions", AUN/SEED-Net Regional Conference for Computer and Information Engineering (RCCIE), Hanoi, Vietnam, October 1-2, 2015.

[4] Ngoc Hung Pham, Takashi Yoshimi,"A proposal of extracting of motion primitives by analyzing tracked data of hand motion from human demonstration", the 47th International Symposium on Robotics (ISR), Munich, Germany, June 21-22, 2016.

[5] P. N. Hung, Takashi Yoshimi, "Extracting Motion Primitives by Tracking Hand Motions in Human Demonstrations", IEEE International Symposium on Robot and Human Interactive Communication (ROMAN), New York, USA, August 25-31, 2016.

[6] Pham Ngoc Hung, Takashi Yoshimi, "Extraction of actions and objects from instructions manual for executable robot planning", Proceedings of International Conference on Control, Automation and Systems (ICCAS), pp. 881-885, Busan, Korea, October 13-16, 2015.

[7] P.N. Hung and Takashi Yoshimi, "An approach to learn hand movements for robot actions from human demonstration", In Proceedings of IEEE/SICE International Symposium on System Integration (SII), Sapporo, Japan, December 13-15, 2016.

[8] Pham Ngoc Hung, Takashi Yoshimi, "Programming Everyday Task by Demonstration using Primitive Skills for a Manipulator", The 7th Annual IEEE International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (IEEE-CYBER 2017), Hawaii, USA, July 31 - August 4, 2017.

[9] Pham Ngoc Hung, Takashi Yoshimi, "Programming Everyday Task Using Primitive Skills and Generative Model of Movement Demonstrated by Human", 2017 International Conference on Advanced Robotics and Intelligent Systems (ARIS 2017), Taipei, Taiwan, September 6-8, 2017

[10] Pham Ngoc Hung, Takashi Yoshimi, Makoto Mizukawa, "The proposal of the extraction method of primitive actions from instruction manuals for robot planning", The Robotics and Mechatronics Conference (ROBOMECH), Kyoto, Japan, May 17-19, 2015.

[11] Pham Ngoc Hung, Takashi Yoshimi, "RGB-D Image based object recognition and pose estimation for robot grasping", The 11th South East Asian Technical University Consortium Symposium, Ho Chi Minh City, Vietnam, March 13-14, 2017.

[P.12] Pham Ngoc Hung, Cabanillas Aurelien, Ohhoon Kwon, Keisuke Okuno, Nguyen Kim Khanh, Tetsunari Inamura, "Generating motions for humanoid robots using a motion capture system in real time" IEEE-RIVF Hanoi, Vietnam 2010.