Dr. Dinh Hoang Bach

Head of Electrical Engineering Department
Email: dinhhoangbach@tdtu.edu.vn
Office: C118

Education 

  • PhD, Electrical Engineering, Heriot-Watt University, United Kingdom, 2005 - 2009.
  • MEng, Electrical Engineering, VNU at Ho Chi Minh City- University of Technology, Vietnam,1996 - 1998.
  • BEng, Electrical Engineering, VNU at Ho Chi Minh City- University of Technology, Vietnam,1990 - 1995.

Professional Experiences

  • 1995 - 2000: Researcher at Electrical Engineering Research and Design Office (EERDO), HCMC Polytechnic University.
  • 2000 - 2001: Project Manager at Technical & Commercial Department, Schneider Electric, Vietnam.
  • 2001 - 2005: Lecturer at Faculty of Electrical Electronics Engineering, Ton Duc Thang University.
  • 2005 - 2009: Ph.D. candidate at Heriot-Watt University, Edinburgh, United Kingdom.
  • 2010 - now: Senior Lecturer, Head of Electrical Engineering Department, Faculty of Electrical Electronics Engineering, Ton Duc Thang University.

Areas of interest

Intelligent and Optimal Control; Robotics and Computer vision; Industrial communication and SCADA.

PUBLICATIONS

A. Journals

[1] Bach H. Dinh, Matthew W. Dunnigan, Zool H. Ismail, “A Radial Basis Function Network Approach to Approximate the Inverse Kinematics of a Robotic System”, International Journal of Modelling, Identification and Control, Vol. 21, No. 2 (2014), pp. 113 – 124 (ISSN 1746-6180).

[2] B. H. Dinh, M. W. Dunnigan, D. S. Reay, “A Practical Approach for Position Control Of a Robotic Manipulator Using a RBFN and a Simple Vision System”, WSEAS Transactions on System and Control (Journal), Volume 3, Issue 4, 2008, pp. 289-298. (ISSN 2224-2856).

B. Conferences

[1] Bach H. Dinh, “Using an RBF Network with Regularly-Spaced Position Centres to Approximate the Inverse Kinematic of a Robot-Vision System”, the 7th IEEE Conference on Industrial Electronics and Applications (ICIEA 2012), Singapore, July 2012.

[2] V. H. Duy, B. H. Dinh, N. T. Phuong “Discrete Time Optimal Tracking Control of BLDC Motor”, The 7th IEEE Conference on Industrial Electronics and Applications, Singapore, July 2012.

[3] Bach H. Dinh, Thang T. Nguyen, and Bao Q. Nguyen, “An Alternative Method to Approximate the Inverse Kinematics of Unknown Geometry Manipulators Using an RBFN with Regularly-Spaced Position Centres”, Recent Advances in Electrical Engineering and Related Sciences, Lecture Notes in Electrical Engineering 282, DOI: 10.1007/978-3-642-41968-3_58, ©Springer-Verlag Berlin Heidelberg 2014

[4] B. H. Dinh, V. H. Duy, D. C. Huynh, “A Novel On-line Training Solution Using a Radial Basis Function Network to Modify the Inverse Kinematic Approximation of a Robot-Vision Systems”, IEEE Power Engineering and Automation Conference, China, September 2011.