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Manufacturing, MechanicalOther Titles: Associate Director, Manufacturing Engineering
Supervision: I am currently accepting graduate supervision requests
Robotic autonomy by localization and mapping; Digital microfluidic device control for lab-on-chip applications; Analysis of uncertain information
Courses & Teaching
APSC 254 - Instrumentation and Data Analysis; ENGR 315 - Systems and Control; ENGR 480 - Modern Control; ENGR 580 - Modern Control Theory; ENGR 598G - Sensor Fusion; ENGR 598U - Probabilistic Robotics; ENGR 598V - Applied Machine Vision; ENGR 598W - Intelligent Control; ENGR 598Y - Multiagent and Distributed Systems
Dr. Najjaran received his Ph.D. from the Department of Mechanical and Industrial Engineering at the University of Toronto in 2002. From 1999 to 2002, he worked as a Research Assistant in the Robotics and Automation Laboratory at the University of Toronto, and a Senior Consultant for Engineering Services Inc., Toronto, Canada, where his work mainly focused on the development of hardware and software of robotic and automation systems. From 2003 to 2006, he worked as a Research Officer at the National Research Council Canada where his research focused on the development of robotic systems and sensor technologies. He joined the Okanagan School of Engineering at the University of British Columbia (UBC) in May 2006.
Dr. Najjaran is the founder of the Advanced Control and Intelligent Systems (ACIS) Laboratory at the School of Engineering. His research focuses on the analysis and design of advanced control systems in a variety of applications ranging from service and humanoid robots to digital microfluidic systems.
PhD – Mechanical Engineering (University of Toronto)
MASc – Mechanical Engineering (University of Tehran)
BSc – Mechanical Engineering (Iran University of Science and Technology)
Research Interests & Projects
Dr. Najjaran’s expertise in broader areas of mechatronics and control systems has led to his interests in several leading edge research applications including:
- Autonomous robotic systems including SLAM, vSLAM, multiagent systems, and visual servoing with an emphasis on the applications relevent to dynamic environments
- MEMS particularly digital microfluidic devices for lab-on-chip applications
- Soft computing with applications in expert systems, nontraditional modeling, sensor fusion and uncertainty management
Selected Publications & Presentations
M. Farrokhsiar, H. Najjaran “Monocular vSLAM using a novel higher order Rao-Blackwellized particle filter,” Journal of Intelligent Learning Systems and Applications (JILSA). (In press)
· B. Bhattacharjee, H. Najjaran, “Investigation of cyanoethyl pullulan as a dielectric material for digital microfluidic systems,” Sensor and Actuators. (Submitted)
· H. Firouzi, H. Najjaran, “An Efficient Method to Track objects over Multiple Frames Through Object Color-Pattern” Image and Vision Computing. (Submitted)
· F. Aminravan, Rehan Sadiq, Mina Hoorfar, Manuel J. Rodriguez, Alex Francisque, Homayoun Najjaran, “Evidential Reasoning using Extended Fuzzy Dempster-Shafer Theory for Handling Various Facets of Information Deficiency”, International journal of intelligent systems (IJIS). (In press)
· A. Ahmadi, J. F. Holzman, H. Najjaran, and M. Hoorfar, “Electrohydrodynamic modeling of microdroplet transient dynamics in digital microfluidic devices,” Microfluidics and Nanofluidics. 10, 1019–1032, February 2011.
· M. Farrokhsiar, D. Krys, H. Najjaran, “A Teaching Tool for the State-of-the-art Probabilistic Methods Used in Localization of Mobile Robots,” Journal of Computer Applications in Engineering Education, first published online June 2010, DOI: 10.1002/cae.20443.
· B. Bhattacharjee, H. Najjaran, “Simulation of Droplet Position Control in Digital Microfluidic Systems”, Journal of Dynamic Systems, Measurement, and Control, Vol. 132 (1), 014501, 2010.
· Z. Liu, R. Sadiq, B. Rajani, H. Najjaran, “Exploring the Relationship between Soil Properties and Deterioration of Metallic Pipes Using Predictive Data Mining Methods,” ASCE Journal of Computing in Civil Engineering, 24(3), pp. 289-301 2010.
· B. Bhattacharjee, H. Najjaran, “Droplet Position Control in Digital Microfluidic Systems”, Biomedical Microdevices, Vol. 12(1), 115-24, 2010.
· A. Ahmadi, K. D. Devlin, H. Najjaran, J. F. Holzman, M. Hoorfar “In situ characterization of microdroplet interfacial properties in digital microfluidic systems”, Lab-on-chip, vol. 10, 1429 – 1435, 2010.
· S. Tesfamariam, R. Sadiq, H. Najjaran, “Decision-making under uncertainty – an example for seismic risk management,” Risk Analysis, 30(1): 78-94, 2010.
· A. Ahmadi, H. Najjaran, J. F. Holzman, and M. Hoorfar, “Two-dimensional flow dynamics in digital microfluidic systems,” Journal of Micromechanics and Microengineering, 19(6), 1-7, 2009.
· J. Nichols, A. Ahmadi, M. Hoorfar, H. Najjaran and J. F. Holzman, “In situ digital microfluidic conductance sampling,” Sensors and Actuators A, 152, 13-21, 2009.
· G. Cascante, H. Najjaran, P. Crespi, “Novel methodology for nondestructive evaluation of brick walls: Fuzzy logic analysis of MASW tests,” ASCE Journal of Infrastructure Systems, 14:2, pp. 117-128, 2008.
· B. Hua, R. Sadiq, H. Najjaran, B. Rajani, “Condition assessment of buried pipes using hierarchical evidential reasoning model,” ASCE Journal of Computing in Civil Engineering, 22:2, pp. 114-122, 2008.
· Z. Liu, D. Krys, B. Rajani, H. Najjaran, “Processing laser range image for the investigation on the long-term performance of ductile iron pipe,” Journal of Nondestructive Testing and Evaluation, 23:1, 65–75, 2008.
· R. Sadiq, M. J. Rodriguez, S. A. Imran, H. Najjaran, “Communicating human health risks associated with disinfection byproducts in drinking water supplies: a fuzzy-based approach,” Stochastic Environmental Research and Risk Assessment, 21: 4, pp. 341-353, 2007.