Vijanth Sagayan Asirvadam

Also published under:Vijanth S. Asirvadam, V. S. Asirvadam, Vijanth Asirvadam

Affiliation

Electrical and Electronics, Universiti Teknologi PETRONAS, Seri Iskandar, Malaysia

Topic

Degrees Of Freedom,Support Vector Machine,Akaike Information Criterion,Angular Velocity,Camera Placement,Control Design,Control Strategy,Digital Elevation Model,Field Of View,Focal Length,Fuzzy Control,Geographic Information System,Image Sensor,Land Area,Membership Function,Point Cloud,Prediction Model,Presence Of Disturbances,Sensor Space,Sliding Mode Control,Vision Sensors,3D Coordinates,3D Images,3D Reconstruction,3D Space,Accuracy And Precision,Adaptive Control,Adaptive Neural Control,Adult Mosquitoes,Aegypti,Aforementioned Methods,Air Cushion Vehicles,Akaike Information Criterion Values,Angle Of Approach,April 2020,Autonomous Aerial Vehicles,Autonomous Vehicles,Average Performance,Axis Angle,Backstepping Control,Birth Rate,Body-fixed Frame,Brushless DC,Brushless DC Motor,Camera Calibration,Camera Field Of View,Camera Orientation,Camera Type,Center Of Mass,Classification Metrics,

Biography

Vijanth Sagayan Asirvadam (M’04) received the B.Sc. (Hons.) degree in statistic from Universiti Putra Malaysia, Kembangan, Malaysia, in 1997, and the M.Sc. degree in engineering computation and the Ph.D. degree on online and constructive neural learning methods from Queen’s University Belfast, U.K. He currently serves as an Associate Professor with the Department of Electrical and Electronics Engineering, Universiti Teknologi PETRONAS, Perak, Malaysia, where he is with the Center of Intelligent Signal and Imaging Research. His current research interest includes linear and nonlinear system identification and model validation. He serves as an Executive Committee Member of the IEEE Signal Processing Society and the IEEE Control System Society for Malaysian chapters.