Amir Shabani

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, ” Augmented Reality and Affective Computing on the Edge Makes Social Robots Better Companions for Older Adults “, International Conference on Robotics, Computer Vision, and Intelligent Systems, Valletta, Malta, 2021. 
• T. Anjum, S. Lawrence, A. Shabani, ” Efficient Data Augmentation within Deep Learning Framework to Improve Cross-Dataset Facial Emotion Recognition”, 25^th International Conference on Image Processing, Computer Vision, Pattern Recognition, Las Vegas, USA, 2021.
• S. Lawrence, T. Anjum, A. Shabani, ”Improved Deep Neural Network with Age Augmentation for Facial Emotion Recognition in Social Companion Robotics”, Journal of Computational Vision and Imaging Systems, 2020.
• S. Latif, A. Shabani, A. Esser, A. Martkovich, “Analytics of Residential Electrical Energy Profile”, IEEE Canadian Conference on Electrical and Computer Eng., Windsor, Canada, 2017.
• C. Luppe, A. Shabani, “Towards Reliable Intelligent Occupancy Detection for Smart Building Applications”, IEEE Canadian Conference on Electrical and Computer Eng. Windsor, Canada, 2017.
• A. Forest, M. Dallard, A. Shabani, “An Optimized Platform for Performance Evaluation of Solar Battery Chargers”, IEEE Canadian Conference on Electrical and Computer Eng., Windsor, Canada, 2017
• A. Forest, A. Shabani, “A Novel Approach in Smart Ventilation Using Wirelessly Controllable Dampers”, IEEE Canadian Conference on Electrical and Computer Eng., Windsor, Canada, 2017.
• M. Dallard, A. Forest, A. Shabani, “Design of a Portable Smart Connected Solar-Powered Charger for Consumer Electronics”, IEEE Canadian Conference on Electrical and Computer Eng., Windsor, Canada, 2017.
• A.H. Shabani, J.S. Zelek, D.A. Clausi, “Multiple scale-specific representations for improved action classification”, Journal of Pattern Recognition Letters, Jan. 2013.
• A.H. Shabani, D.A. Clausi, J.S. Zelek, “Evaluation of local spatio-temporal salient feature detectors for human action recognition”, IEEE Conf. On Computer and Robot Vision, Toronto, May 2012.
• A.H. Shabani, J.S. Zelek, D.A. Clausi, “Regularized gradient kernel anisotropic diffusion for better image filtering”, IEEE Conf. On Computer and Robot Vision, Toronto, May 2012.
• A.H. Shabani, P. Matsakis, “Efficient computation of objects’ spatial relations in digital images”, IEEE Canadian Conf. On Electrical and Computer Engineering, Montreal, April 2012.
• A.H. Shabani, D.A. Clausi, J.S. Zelek “Improved spatio-temporal salient feature detection for action recognition”, British Machine Vision Conference, Dundee, UK, Sep. 2011.
• A.H. Shabani, J.S. Zelek, D.A. Clausi, “Robust local video event detection for action recognition”, Neural Information Processing Sys. (NIPS)–MLAT Workshop, Whistler, Canada, Dec. 2010.
• M. H. Ghaeminia, A.H. Shabani, and S.B. Shokouhi, “Two-level parallel histogram of appearance for better human tracking in Video”, IEEE Machine Vision and Image Processing Conference, Isfahan, Oct. 2010.
• A.H. Shabani, J.S. Zelek and D.A. Clausi, “Human action recognition using salient opponent-based motion features”, IEEE Canadian Conference on Computer and Robot Vision, Ottawa, Canada, May 2010.
• A.H. Shabani, M.H. Ghaeminia, and S.B. Shokouhi, “Human tracking using spatialized multi-level histogramming and mean shift”, IEEE Canadian Conf. on Computer and Robot Vision, Ottawa, Canada, 2010.
• M.H. Ghaeminia, A.H. Shabani, and S.B. Shokouhi, “Adaptive motion model for human tracking using Particle Filter”, International Conference on Pattern Recognition, Istanbul, Turkey, Aug. 2010.
• M.J. Gangeh, A.H. Shabani, and M.S. Kamel, “Nonlinear scale-space theory in texture classification using multiple classifier systems”, International Conf. on Image Analysis and Recognition, Portugal, June 2010.
• A.H. Shabani, D.A. Clausi, J.S. Zelek, “Towards robust 3D spatio-temporal interest point detection for human action recognition”, IEEE Canadian Conference on Computer and Robot Vision, Kelowna, Canada, May 2009.
• A.H. Shabani, S.B. Shokouhi,” Self-recalibration of a 3D Laser Scanner”, IEEE Conference in Electrical Engineering (ICEE), Zanjan, Iran, May 2005.
• A.H. Shabani, S.B. Shokouhi,” Fuzzy thinning in 3D laser scanning using structured light”, 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.