尤物视频

MENU

Amir Shabani

Lecturer, P.Eng.
Sustainable Energy Engineering

Education

  • Ph.D., System Design Engineering, University of Waterloo, 2011
  • M.Sc., Electrical and Electronics Engineering, Iran University of Science and Technology, 2004
  • B.Sc., Electrical and Electronics Engineering, Iran University of Science and Technology, 2001

Industrial and research interests

  • Artificial Intelligence, Machine Learning, Computer Vision
  • Sustainable Interactive Intelligent System Design
  • Affective Computing, Interactive Robotics
  • Smart City, Smart Connected Buildings, Smart Homes
  • Internet of Things (IoT, Industry 4.0 and Industry 5.0)

Teaching interests

  • System Design and Computing: Artificial Intelligence, Machine Learning, Computer Vision, Data Analytics, Robotics, Data Structure, Algorithm Design, and Programming
  • Electronics and Embedded Systems: Data Communnication, Networking, Internet of Things, Embedded Systems, Signals and Systems, Image Processing, Electronic Circuits and Systems, Instrumentation and Control, Mechatronic Systems

Recently taught courses

  • SEE 231 - Electronic Devices and Systems
  • SEE 332 - Power Systems Design and Analysis
  • SEE 333 - Network and Communication Systems
  • SEE 431 - Signals and Systems

Selected recent publications

  • T. Anjum, S. Lawrence, A. Shabani, 鈥 Augmented Reality and Affective Computing on the Edge Makes Social Robots Better Companions for Older Adults 鈥, International Conference on Robotics, Computer Vision, and Intelligent Systems, Valletta, Malta, 2021. 
  • T. Anjum, S. Lawrence, A. Shabani, 鈥 Efficient Data Augmentation within Deep Learning Framework to Improve Cross-Dataset Facial Emotion Recognition鈥, 25th International Conference on Image Processing, Computer Vision, Pattern Recognition, Las Vegas, USA, 2021.
  • S. Lawrence, T. Anjum, A. Shabani, 鈥滻mproved Deep Neural Network with Age Augmentation for Facial Emotion Recognition in Social Companion Robotics鈥, Journal of Computational Vision and Imaging Systems, 2020.
  • S. Latif, A. Shabani, A. Esser, A. Martkovich, 鈥淎nalytics of Residential Electrical Energy Profile鈥, IEEE Canadian Conference on Electrical and Computer Eng., Windsor, Canada, 2017.
  • C. Luppe, A. Shabani, 鈥淭owards Reliable Intelligent Occupancy Detection for Smart Building Applications鈥, IEEE Canadian Conference on Electrical and Computer Eng. Windsor, Canada, 2017.
  • A. Forest, M. Dallard, A. Shabani, 鈥淎n Optimized Platform for Performance Evaluation of Solar Battery Chargers鈥, IEEE Canadian Conference on Electrical and Computer Eng., Windsor, Canada, 2017
  • A. Forest, A. Shabani, 鈥淎 Novel Approach in Smart Ventilation Using Wirelessly Controllable Dampers鈥, IEEE Canadian Conference on Electrical and Computer Eng., Windsor, Canada, 2017.
  • M. Dallard, A. Forest, A. Shabani, 鈥淒esign of a Portable Smart Connected Solar-Powered Charger for Consumer Electronics鈥, IEEE Canadian Conference on Electrical and Computer Eng., Windsor, Canada, 2017.
  • A.H. Shabani, J.S. Zelek, D.A. Clausi, 鈥淢ultiple scale-specific representations for improved action classification鈥, Journal of Pattern Recognition Letters, Jan. 2013.
  • A.H. Shabani, D.A. Clausi, J.S. Zelek, 鈥淓valuation of local spatio-temporal salient feature detectors for human action recognition鈥, IEEE Conf. On Computer and Robot Vision, Toronto, May 2012.
  • A.H. Shabani, J.S. Zelek, D.A. Clausi, 鈥淩egularized gradient kernel anisotropic diffusion for better image filtering鈥, IEEE Conf. On Computer and Robot Vision, Toronto, May 2012.
  • A.H. Shabani, P. Matsakis, 鈥淓fficient computation of objects鈥 spatial relations in digital images鈥, IEEE Canadian Conf. On Electrical and Computer Engineering, Montreal, April 2012.
  • A.H. Shabani, D.A. Clausi, J.S. Zelek 鈥淚mproved spatio-temporal salient feature detection for action recognition鈥, British Machine Vision Conference, Dundee, UK, Sep. 2011.
  • A.H. Shabani, J.S. Zelek, D.A. Clausi, 鈥淩obust local video event detection for action recognition鈥, Neural Information Processing Sys. (NIPS)鈥揗LAT Workshop, Whistler, Canada, Dec. 2010.
  • M. H. Ghaeminia, A.H. Shabani, and S.B. Shokouhi, 鈥淭wo-level parallel histogram of appearance for better human tracking in Video鈥, IEEE Machine Vision and Image Processing Conference, Isfahan, Oct. 2010.
  • A.H. Shabani, J.S. Zelek and D.A. Clausi, 鈥淗uman action recognition using salient opponent-based motion features鈥, IEEE Canadian Conference on Computer and Robot Vision, Ottawa, Canada, May 2010.
  • A.H. Shabani, M.H. Ghaeminia, and S.B. Shokouhi, 鈥淗uman tracking using spatialized multi-level histogramming and mean shift鈥, IEEE Canadian Conf. on Computer and Robot Vision, Ottawa, Canada, 2010.
  • M.H. Ghaeminia, A.H. Shabani, and S.B. Shokouhi, 鈥淎daptive motion model for human tracking using Particle Filter鈥, International Conference on Pattern Recognition, Istanbul, Turkey, Aug. 2010.
  • M.J. Gangeh, A.H. Shabani, and M.S. Kamel, 鈥淣onlinear scale-space theory in texture classification using multiple classifier systems鈥, International Conf. on Image Analysis and Recognition, Portugal, June 2010.
  • A.H. Shabani, D.A. Clausi, J.S. Zelek, 鈥淭owards robust 3D spatio-temporal interest point detection for human action recognition鈥, IEEE Canadian Conference on Computer and Robot Vision, Kelowna, Canada, May 2009.
  • A.H. Shabani, S.B. Shokouhi,鈥 Self-recalibration of a 3D Laser Scanner鈥, IEEE Conference in Electrical Engineering (ICEE), Zanjan, Iran, May 2005.
  • A.H. Shabani, S.B. Shokouhi,鈥 Fuzzy thinning in 3D laser scanning using structured light鈥, IEEE Machine Vision, Image Processing and Application (MVIP), Tehran, Iran, Feb. 2005.
  • A.H. Shabani and S.B. Shokouhi, "A new automatic calibration algorithm for 3-D optical scanners", IEEE Machine Vision, Image Proc. and Application (MVIP), Tehran, Iran, Feb. 2005.
  • A.H. Shabani, M. Farrokhi, and S.B. Shokouhi, "A new method of edge detection based on the classical and fuzzy methods", IEEE Conference on Electrical Engineering (ICEE), Shiraz, Iran, May 2003.