Head of Electrical Engineering Department
- 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.
- 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.
 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).
 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).
 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.
 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.
 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
 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.