2019

• I. O. Joudeh, A.-M. Cretu, B. Wallace, R.A. Goubran, M. Allegue-Martinez, A. Alkhalid, and F. Knoefel, "Analyzing WiFi Channel State Information to

Distinguish Sitting-Down and Standing-Up Activities", submitted to IEEE Trans. Instrum. & Measurement, 2019. • H. Nematallah, S. Rajan and A.-M. Cretu, "Logistic Model Tree for Human Activity Recognition Using Smartphone-Based Inertial Sensors", IEEE Sensors

Conference, Montréal, 2019. • M. Khenar, K. Hosseini, S. Taheri, A.-M. Cretu, E. Pouresmaeil, and H. Taheri, "Particle Swarm Optimization-based Model and Analysis of Photovoltaic Module Characteristics in Snowy Conditions", IET Renewable Power Generation, vol. 13, issue 11, pp. 1950-1957, 2019, Mar. 2019. • G. Rouhafzay and A.-M. Cretu, "Object Recognition from Haptic Glance at Visually Salient Locations", IEEE Trans. Instrum. & Meas, pp. 1-11, 2019, doi:

10.1109/TIM.2019.2905906Mar. 2019. • G. Rouhafzay and A.-M. Cretu, "An Application of Deep Learning to Tactile Data for Object Recognition under Visual Guidance", MDPI Sensors, vol. 19, art.

1534, 2019, pp. 1-13, doi: 10.3390/s19071534. • E. Reveron, and A.-M. Cretu, "A Framework for Collision Prediction Using Historical Accident Information and Real-time Sensor Data: A Case Study for the City of Ottawa", accepted for publication, IEEE Int. Symp. Robotics and Sensor Environments, Ottawa, 2019. • T. E. A. Oliveira, V. P. Fonseca, B.M.R. Lima, A.-M. Cretu and E. M. Petriu, "End-Effector Approach Flexibilization in a Surface Exploration Task Using a

Bioinspired Tactile Sensing Module", accepted for publication, IEEE Int. Symp. Robotics and Sensor Environments, Ottawa, 2019. • I. Joudeh, A.-M. Cretu, B. Wallace, R. Goubran, A. Alkhalid, M. Allegue, and F. Knoefel, "WiFi Channel State Information-Based Recognition of Sitting-Down

and Standing-Up Activities", accepted for publication, IEEE Int. Conf. Medical Measurements and Applications, Turkey, 2019. • G. Rouhafzay, and A.-M. Cretu, "A Visuo-Haptic Framework for Object Recognition Inspired from Human Tactile Perception", MDPI Int. Electron. Conf. Sensors and Applications, Proceedings 4(47), 2019, pp. 1:7, doi:10.3390/ecsa-5-05754. • G. Plouffe, P. Payeur, and A.-M. Cretu, "Real-Time Posture Control for a Robotic Manipulator Using Natural Human-Computer Interaction", MDPI Int. Electron.

Conf. Sensors and Applications, Proceedings 4(31), 2019, pp. 1:7, doi:10.3390/ecsa-5-05751.

2018

• G. Rouhafzay and A.-M. Cretu, "Perceptually Improved 3D Object Representation Based on Guided Adaptive Weighting of Feature Channels of a Visual-

Attention Model", Springer 3D Research, vol. 9, issue 29, Sep. 2018, pp. 1-21, doi: 10.1007/s13319-018-0181-z. • G. Rouhafzay, and A.-M. Cretu, "A Visuo-Haptic Framework for Object Recognition Inspired from Human Tactile Perception", MDPI Int. Electron. Conf. Sensors and Applications, 2018. • G. Plouffe, P. Payeur, and A.-M. Cretu, "Real-Time Posture Control for a Robotic Manipulator Using Natural Human-Computer Interaction", MDPI Int. Electron.

Conf. Sensors and Applications, 2018. • T. E. A. Oliveira, V. P. Fonseca, B.M.R. Lima, A.-M. Cretu and E. M. Petriu, "End-Effector Approach Flexibilization in a Surface Exploration Task Using a

Bioinspired Tactile Sensing Module", IEEE Sensors Conference, India, 2018. • G. Rouhafzay and A.-M. Cretu, "A Virtual Tactile Sensor with Adjustable Precision and Size for Object Recognition", IEEE Int. Conf. Computational Intelligence

and Virtual Environments for Measurement Systems and Applications, Ottawa, Canada, 2018. • N.P. Bobbili and A.-M. Cretu, "Adaptive Weighting with SMOTE for Learning from Imbalanced Datasets: A Case Study for Traffic Offence Prediction", IEEE Int.

Conf. Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Ottawa, Canada, 2018.

2017

• G. Rouhafzay, N. Pedneault and A.-M. Cretu, "A 3D Visual Attention Model to Guide Tactile Data Acquisition for Object Recognition", 4th Int. Electron. Conf.

Sensors and Applications, 15-30. Nov. 2017, Sciforum El. Conf. Series, 2017, doi: 10.3390/ecsa-4-04901. • N. Pedneault and A.-M. Cretu, "3D Object Recognition from Tactile Array Data Acquired at Salient Points", IEEE Int. Symp. Robotics and Intelligent Sensors, pp. 150-156, Ottawa, Canada, 2017 (Best Paper Finalist Award). • J. C. Davila, A.-M. Cretu and M. Zaremba, "Wearable Sensor Data Classification for Human Activity Recognition Based on an Iterative Learning Framework",

MDPI Sensors, vol. 17, art. 1287, 2017, doi: 10.3390/s17061287. • T.E.A. Oliveira, A.-M. Cretu and E.M. Petriu, "A Multi-Modal Bio-Inspired Tactile Sensing Module for Surface Characterization", MDPI Sensors, vol. 17, art. 1187,

2017, doi: 10.3390/s17061187. • B. Tawbe and A.-M. Cretu, "Acquisition and Prediction of Soft Object Shape Using a Kinect and a Force-Torque Sensor", MDPI Sensors, vol. 17, art. 1083,

2017, doi: 10.33903/s17051083. • G. Rouhafzay and A.-M. Cretu, "Selectively-Densified Mesh Construction for Virtual Reality Applications Using Visual Attention Derived Salient Points", IEEE Int. Conf. Computational Intelligence and Virtual Environments for Measurement Systems and Applications, Annecy, France, pp. 99-104, 2017. • T.E.A. Oliveira, A.-M. Cretu and E.M. Petriu, "Multimodal Bio-Inspired Tactile Sensing Module", IEEE Sensors, vol. 17, issue 11, pp. 3231-3243, Apr. 2017, doi:

10.1109/JSEN.2017.2690898. • A.-M. Cretu and P. Payeur, "Harnessing Vision and Touch for Compliant Robotic Interaction with Soft and Rigid Objects", Advanced Interfacing Techniques for Sensors, B. George et al. (Eds.), Lecture Series of Smart Sensors, Measurement and Instrumentation, vol. 25, pp. 269-289, Springer-Verlag, 2017. • F. Hui, P. Payeur and A.-M. Cretu, "Visual Tracking and Classification of Soft Object Deformation under Robot Hand Interaction", MDPI Robotics, vol. 6, issue 1, art. 5, 2017, doi: 10.3390/robotics6010005. • F. Audet, M.S. Allili, and A.-M. Cretu, "Salient Object Localisation in Images by Combining Objectness Clues in the RGB-D Space", Karray F., Campilho A.,

Cheriet F. (eds) Image Analysis and Recognition. ICIAR 2017, pp. 247-255, Lecture Notes in Computer Science, vol. 10317. Springer, Cham. • F. Hui, P. Payeur, and A.-M. Cretu, "In-Hand Object Material Characterization with Fast Level Set in Log-Polar Domain and Dynamic Time Warping", IEEE Int.

Conf. Instrumentation and Measurement Technology, pp. 730-735,Torino, Italy, May 2017.

2016

• M. Chagnon-Forget, G. Rouhafzay, A.-M. Cretu and S. Bouchard, "Enhanced Visual-Attention Model for Perceptually-Improved 3D Object Modeling in Virtual

Environments", 3D Research, vol. 7, issue 4, pp. 1-18, 2016. • A.-M. Cretu, M. Chagnon-Forget and P. Payeur, "Selectively Densified 3D Object Modeling Based on Regions of Interest Using Neural Gas Networks", Soft

Computing, 2016, doi: 10.1007/s00500-016-2132-z. • J. C. Davila, A.-M. Cretu and M. Zaremba, "Iterative Learning for Human Activity Recognition from Wearable Sensor Data", 3rd Int. Electron. Conf. Sensors and

Applications, 15-30 Nov. 2016, Sciforum El. Conf. Series, Vol. 3, 2016, S2002, doi: 10.3390/ecsa-3-S2002 (Best Paper Award). • T.E.A. Oliveira, B.M.R. Lima, A.-M. Cretu and E.M. Petriu, "Tactile Profile Classification Using a Multimodal MEMs-Based Sensing Module", 3rd Int. Electron.

Conf. Sensors and Applications, 15-30 Nov. 2016, Sciforum El. Conf. Series, Vol. 3, 2016, E007, doi: 10.3390/ecsa-3-E007. • B. Tawbe and A.-M. Cretu, "Data-Driven Representation of Soft Deformable Objects Based on Force-Torque Data and 3D Vision Measurements", 3rd Int.

Electron. Conf. Sensors and Applications, 15-30 Nov. 2016, Sciforum El. Conf. Series, Vol. 3, 2016, E006, doi: 10.3390/ecsa-3-E006. • F. Khosrojerdi, S. Taheri, and A.-M. Cretu, "An Adaptive Neuro-Fuzzy Inference System-Based MPPT Controller for Photovoltaic Arrays", IEEE Electrical Power

and Energy Conf., Ottawa, ON, Oct.12-14, pp. 1-6, 2016. • M. Laforest, S. Bouchard, A.-M. Cretu, and O. Mesly, "Inducing an Anxiety Response Using a Contaminated Virtual Environment: Validation of a Therapeutic

Tool for Obsessive-Compulsive Disorder", Frontiers in ICT (Information and Communication Technologies): Virtual Environments, vol. 3, art. 18, Sep. 2016, doi: 10.3389/fict.2016.00018. • D. Nakhaeinia, P. Payeur, A. Chávez-Aragón, A.-M. Cretu, R. Laganière, and R. Macknojia, "Surface Following with an RGB-D Vision-Guided Robotic System for Vehicle Security Screening", Int. Journal Smart Sensing and Intelligent Systems, vol. 9, no. 2, pp. 419-447, Jun. 2016. • C. Viau, P. Payeur, and A.-M. Cretu, "An Improved Watershed Segmentation Algorithm with Thermal Markers for Multispectral Image Analysis", SPIE 9844

Automatic Target Recognition XXVI, 9844A, Baltimore, USA, 17-21 April 2016, doi:10.1117/12.2223362. • C. Viau, P. Payeur, and A.-M. Cretu, "Multispectral Image Analysis for Object Recognition and Classification", SPIE 9844 Automatic Target Recognition XXVI,

98440N, Baltimore, USA, 17-21 April 2016, doi:10.1117/12.2223360. • G. Plouffe and A.-M. Cretu, "Static and Dynamic Hand Gesture Recognition in Depth Data Using Dynamic Time Warping", IEEE Trans. Instrumentation and

Measurement, vol. 65, no.2, pp. 305-316, Feb. 2016.

2015

• T.E.A. Oliveira, V. P. Fonseca, A.-M. Cretu and E.M. Petriu, “Touch Sensing for Humanoid Robots”, Instrumentation and Measurement Magazine, special issue “Will Instruments Replace Humans?”, vol. 18, no. 5, pp.13-19, Oct. 2015. • M. Chagnon-Forget and A.-M. Cretu, “Visual Attention-Based 3D Multiple LOD Modeling for Virtual Environments”, IEEE Symp. Haptic Audio-Visual

Environments and Games, pp. 69-74, Ottawa, ON, Oct. 2015. • G. Plouffe, A.-M. Cretu, and P. Payeur, “Natural Human-Computer Interaction Using Hand Gestures“, IEEE Symp. Haptic Audio-Visual Environments and

Games, pp. 57-62, Ottawa, ON, Oct. 2015. • A.-M. Cretu, T. E. A. Oliveira, V. Prado da Fonseca, B. Tawbe, E.M. Petriu, and V. Groza, “Signal Processing and Mechatronics Solutions for Robotic Haptic

Object Recognition”, IEEE Int. Symp. Intelligent Signal Processing, pp. 72-77, Siena, Italy, 15-17 May 2015.. • A.-M. Cretu, P. Payeur, and R. Laganière, "Visual Attention Guided Localization of Vehicle Parts in Multi-view Images", Applied Soft Computing, vol. 31, pp. 369- 380, Mar. 2015.

2014

• S. Filiatrault, A.-M. Cretu, "Human Arm Motion Imitation Using a Humanoid Robot", IEEE Int. Symp. Robotic and Sensors Environments, pp. 31-36, Timisoara, Romania, 2014. • F. Halal, P. Pedrocca, T. Hirose, A.-M. Cretu, M. Zaremba, "Remote-Sensing Based Adaptive Path Planning for an Aquatic Platform to Monitor Water Quality",

IEEE Symp. Robotic and Sensors Environments, pp. 43-48, Timisoara, Romania, Oct. 2014. • M. Cavrag, G. Larivière, A.-M.Cretu, and S. Bouchard, "Interaction with Virtual Spiders for Eliciting Disgust in the Treatment of Phobias", IEEE Symp. Haptic

Audio-Visual Environments and Games, pp. 29-34, Dallas, Texas, US, Oct. 2014. • P. Payeur, G. M. Nascimento, J. Beacon, G. Comeau, A.-M. Cretu, V. D'Aoust, and M.-A. Charpentier, "Human Gesture Quantification: an Evaluation Tool for

Somatic Training and Piano Performance", IEEE Symp. Haptic Audio-Visual Environments and Games, pp.100-105, Dallas, Texas, US, Oct. 2014. • H. Monette-Thériault, A.-M. Cretu, and P. Payeur, "3D Object Modeling with Neural Gas Based Selective Densification of Surface Meshes”, IEEE Int. Conf.

Systems, Man, and Cybernetics, pp. 1373-1378, San Diego, US, 2014. • J. McCausland, R. Abielmona, R. Falcon, A.-M. Cretu and E.M. Petriu, "On the Role of Multi-Objective Optimization in Risk Mitigation for Critical Infrastructures

with Robotic Sensor Networks", ACM Conference Companion on Genetic and Evolutionary Computation, Vancouver, Canada, pp. 1269-1276, July 2014. • S. Gauthier and A.-M. Cretu, "Human Movement Quantification using Kinect for In-Home Physical Exercise Monitoring, IEEE Int. Conf. Computational

Intelligence and Virtual Environments for Measurement Systems and Applications, pp. 6-11, Ottawa, May 2014. • G. Jager, S. Zug, T. Brade, A. Dietrich, C. Steup, C. Moewes, A.-M.Cretu, "Assessing Neural Networks for Sensor Fault Detection", IEEE Int. Conf.

Computational Intelligence and Virtual Environments for Measurement Systems and Applications, pp. 70-75, Ottawa, May 2014. • R. Fareh, P. Payeur, D. Nakhaeinia, R. Macknojia, A. Chávez-Aragón, A.-M. Cretu, P. Laferrière, R. Laganière. R. Toledo, "An Integrated Vision-Guided Robotic

System for Rapid Vehicle Inspection", IEEE Int. Systems Conference, SysCon, pp. 446-451, Ottawa, Mar. 2014 (Best Paper Award).

2013

• P. Payeur, P. Curtis, A.-M. Cretu, "Computational Methods for Selective Acquisition of Depth Measurements: an Experimental Evaluation", Int. Conf. Advanced Concepts for Intelligent Vision Systems, ACIVS 2013, Poznan, Poland, J. Blanc-Talon et al. (Eds.), LNCS 8192, pp. 389-401, 28-31 Oct. 2013. • J. Tremblay-Gosselin, A.-M. Cretu, A Supervised Training and Learning Method for Building Identification in Remotely Sensed Images", IEEE Int. Symp.

Robotic and Sensors Environments, pp. 73-78, Washington, US, 21-23 Oct. 2013. • J. McCausland, R. Abielmona, R. Falcon, A.-M. Cretu and E.M. Petriu, "Auction-Based Node Selection of Optimal and Concurrent Responses for a Risk-Aware Robotic Sensor Network", IEEE Int. Symp. Robotic and Sensors Environments, pp. 136-141, Washington, US, 21-23 Oct. 2013. • P. Payeur, P. Curtis, A.-M. Cretu, "Computational Methods for Selective Acquisition of Depth Measurements in Machine Perception", IEEE Int. Conf. Systems,

Man, and Cybernetics, pp. 876-881, Manchester, UK, 13-16 Oct. 2013. • A.-M. Cretu, P. Payeur, "Building Detection in Aerial Images Based on Watershed and Visual Attention Feature Descriptors", Canadian Conf. Computer and

Robot Vision, pp. 265-272, Regina, 28-31 May 2013. • E.-M. Petriu, A.-M. Cretu, "Biology-inspired Artificial Neural Network Solution for Android Control", IEEE Int. Conf. Medical Measurements and Applications, pp.

145-150, Gatineau, 4-5 May 2013.

2012

• A.-M. Cretu, and P. Payeur, “Visual Attention Model with Adaptive Weighting of Conspicuity Maps for Building Detection in Satellite Images”, Int. Journal Smart

Sensing and Intelligent Systems, vol. 5, no. 4, pp. 742-766, Dec. 2012. • A.-M. Cretu, “Evolving Sensor System Environments with Visual Attention: An Experimental Exploration”. IEEE Int. Symp. Robotic and Sensors Environments.

pp. 97-102, Magdeburg, Germany, 2012 (invited talk). • A.-M. Cretu, P. Payeur, and E.M. Petriu, “Soft Object Deformation Monitoring and Learning for Model-Based Robotic Hand Manipulation”, IEEE Trans. Systems, Man and Cybernetics - Part B, vol. 42, no.3, pp.740-753, Jun. 2012. • M. I. Sina, A.-M. Cretu, and P. Payeur, “Object Recognition on Satellite Images with Biologically-Inspired Computational Approaches”, Proc. IEEE Int.

Symposium on Applied Computational Intelligence and Informatics, pp. 81-86, Timisoara, Romania, 24-26 May 2012 • A.-M. Cretu, and P. Payeur, “Image-Based Localization of Vehicle Parts Guided by Visual Attention” , Proc. IEEE Instrumentation and Measurement Technology Conf., pp. 533-538, Graz, Austria, 14-16 May 2012. • M. I. Sina, A.-M. Cretu, and P. Payeur, “Biological Visual Attention Guided Automatic Image Segmentation with Application in Satellite Imaging”, IS&T/SPIE

Electronic Imaging Conf., Human Vision and Electronic Imaging, vol. 8291, Burlingame, California, USA, Jan. 2012.

2011

• A.-M. Cretu, and P. Payeur, “Biologically-Inspired Visual Attention Features for a Vehicle Classification Task”, Int. Journal Smart Sensing and Intelligent Systems, vol.3, no.4, pp. 402-423, 2011. • A.-M. Cretu, P. Payeur, and R. Laganiere, “Salient Features Based on Visual Attention for Multi-View Vehicle Classification”, IEEE Int. Conf. Computational

Intelligence for Measurement Systems and Applications, pp. 64-69, Ottawa, 2011.

2010

• A.-M. Cretu, P. Payeur, and E.M. Petriu, “Learning and Prediction of Soft Object Deformation using Visual Analysis of Robot Interaction”, Proc. Int. Symp. Visual Computing, Las Vegas, Nevada, USA, G. Bebis et al. (Eds), LNCS 6454, pp. 232-241, Springer Berlin-Heidelberg, 2010. • F. Khalil, P. Payeur, and A.-M. Cretu, “Integrated Multisensory Robotic Hand System for Deformable Object Manipulation”, Proc. Int. Conf. Robotics and

Applications, pp. 159-166, Cambridge, Massachusetts, US, Nov. 2010. • A.-M. Cretu, P. Payeur, E. M. Petriu and F. Khalil, “Estimation of Deformable Object Properties from Visual Data and Robotic Hand Interaction Measurements for Virtualized Reality Applications ”, Proc. IEEE Int. Symp. Haptic Audio Visual Environments and Their Applications, pp.168-173, Phoenix, AZ, Oct. 2010. • A.-M. Cretu, E. M. Petriu, P. Payeur and F. F. Khalil, “Deformable Object Segmentation and Contour Tracking in Image Sequences Using Unsupervised

Networks”, Proc. Canadian Conf. Computer and Robot Vision, pp. 277-284, Ottawa, Canada, May 2010.

2009

• A.-M. Cretu, P. Payeur, and E.M. Petriu, “Selective Range Data Acquisition Driven by Neural Gas Networks”, IEEE Trans. Instrumentation and Measurement,

vol. 58, no. 6, pp. 2634-2642, 2009. • A.-M. Cretu, P. Payeur, and E.M. Petriu, “Neural Gas and Growing Neural Gas Networks for Selective 3D Sensing: A Comparative Study”, Sensors &

Transducers, vol. 5, pp. 119-134, 2009. • E. M. Petriu, P. Payeur, A.-M. Cretu, and C. Pasca, “Complementary Tactile Sensor and Human Interface for Robotic Telemanipulation”, Proc. IEEE Int.

Workshop Haptic Audio Visual Environments and Games, pp. 164-169, Lecco, Italy, Nov. 2009 • A.-M. Cretu, P. Payeur, and E.M. Petriu, “Data Acquisition and Modeling of 3D Deformable Objects using Neural Networks”, Proc. IEEE Int. Conf. Systems, Man, and Cybernetics, pp. 3483-3488, San Antonio, TX, USA, Oct. 2009. • A.-M. Cretu, P. Payeur, and E.M. Petriu, “Modeling of Elastic Behavior of 3D Deformable Objects from Range and Tactile Imaging”, Proc. Int. Conf. Image

Analysis and Recognition, M. Kamel and A. Campilho (Eds), LNCS 5627, pp. 707-716, 2009. • A.-M. Cretu, P. Payeur, and E.M. Petriu, “Selective Tactile Data Acquisition on 3D Deformable Objects for Virtualized Reality Applications”, Proc. IEEE Int.

Workshop Computational Intelligence in Virtual Environments, pp.14-19, Nashville, TN, USA, Apr. 2009

2008

• A.-M. Cretu, P. Payeur and E.M. Petriu, “Neural Network Mapping and Clustering of Elastic Behavior from Tactile and Range Imaging for Virtualized Reality

Applications”, IEEE Trans. Instrumentation and Measurement, vol. 57, no. 9, pp. 1918-1928, 2008. • A.-M. Cretu, E.M. Petriu, and P. Payeur, “Growing Neural Gas Networks for Selective 3D Scanning”, Proc. IEEE Int. Workshop on Robotic and Sensors

Environments, pp. 108-113, Ottawa, Canada, Oct. 2008. • A.-M. Cretu, P. Payeur, and E.M. Petriu, “Selective Vision Sensing based on Neural Gas Network”, Proc. IEEE Int. Conf. Instrumentation and Measurement

Technology, pp. 478-483, Vancouver, Canada, May 2008 (Best Student Paper Award).

2007

• E.-M. Petriu, P. Payeur, and A.-M. Cretu, “Haptic Human Interfaces for Robotic Telemanipulation”, Int. Journal of Computing, vol. 6, no. 2, pp. 81-88, 2007. • E.M. Petriu, A.-M. Cretu, P. Payeur, “Neural Network Modeling Techniques for the Real-Time Rendering of the Geometry and Elasticity of 3D Objects”, Proc.

IEEE Int. Workshop Soft Computing Applications, pp. 11-16, Gyula, Hungary, and Oradea, Romania, Aug. 2007. • E.M. Petriu, P. Payeur, A.-M. Cretu, “Haptic Human Interfaces for Robotic Telemanipulation,” Proc. IEEE Int. Symp. Applied Computational Intelligence and

Informatics, pp. 53-58, Timisoara, Romania, May 2007.

2006

• A.-M. Cretu and E.M. Petriu, “Neural Network-Based Adaptive Sampling of 3D Object Surface Elastic Properties”, IEEE Trans. Instrumentation and

Measurement, vol. 55, no. 2, pp. 483-492, 2006. • A.-M. Cretu, E.M. Petriu, and G.G. Patry, “Neural-Network Based Models of 3D Objects for Virtualized Reality: A Comparative Study”, IEEE Trans.

Instrumentation and Measurement, vol. 55, no. 1, pp. 99-111, 2006. • A.-M. Cretu, E.M. Petriu, and P. Payeur, "Neural Network Mapping and Clustering of Elastic Behavior from Tactile and Range Imaging for Virtualized Reality

Applications", Proc. IEEE Int. Workshop Imaging Systems and Techniques, pp. 17-22, Minori, Italy, Apr. 2006. • A.-M. Cretu, J. Lang, and E.M. Petriu, "A Composite Neural Gas-Elman Network that Captures Real-World Elastic Behavior of 3D Objects", Proc. IEEE Int. Conf. Instrumentation and Measurement Technology, pp. 1063-1067, Sorrento, Italy, Apr. 2006.

2005

• P. Payeur, C. Pasca, A.-M. Cretu, and E.M. Petriu, “Intelligent Haptic Sensor System for Robotic Manipulation”, IEEE Trans. Instrumentation and Measurement, vol. 54, no. 4, pp. 1583-1592, 2005. • A.-M. Cretu, J. Lang, and E.M. Petriu, "Adaptive Acquisition of Virtualized Deformable Objects with a Neural Gas Network", Proc. IEEE Int. Workshop Haptic

Audio Visual Environments and Their Applications, Ottawa, Canada, pp. 165-170, Oct. 2005. • D. Dragulescu, C. Stoicanescu, A-M. Cretu, M. Toth-Tascau and M. Dreucean, "Utilitarian Robots Acting in a Virtual Medical Center Scene", Proc. IEEE Int. Conf. Instrumentation and Measurement Technology, pp. 1373-1377, Ottawa, Canada, May 2005.

2004

• E. M. Petriu, S.K.S. Yeung, S.R. Das, A.-M. Cretu, and H.J.W. Spoelder, “Robotic Tactile Recognition of Pseudo-Random Encoded Objects”, IEEE Trans.

Instrumentation and Measurement, vol. 53, no. 5, pp. 1425-1432, 2004. • A.-M. Cretu, E.M. Petriu, and G.G. Patry, "A Comparison of Neural Network Architectures for the Geometric Modeling of 3D Objects", Proc. Conf. Computational

Intelligence for Measurement Systems and Applications, pp. 155-160, Boston, USA, Jul. 2004. • C. Pasca, P. Payeur, E.M. Petriu, A.-M. Cretu, "Intelligent Haptic Sensor System for Robotic Manipulation", Proc. IEEE Int. Conf. Instrumentation and

Measurement Technology, pp. 279-284, Como, Italy, May 2004. • A.-M. Cretu, E.M. Petriu, and G.G. Patry, "Neural Network-Based Adaptive Sampling of 3D Object Surface Elastic Properties", Proc. IEEE Int. Conf.

Instrumentation and Measurement Technology, pp. 285-290, Como, Italy, May 2004.

2003

• A.-M. Cretu, E.M. Petriu, and G.G. Patry, "Neural Network Architecture for 3D Object Representation", Proc. IEEE Int. Workshop on Haptic, Audio and Visual

Environments and Their Applications, pp. 31-36, Ottawa, Canada, Sep. 2003. • K-Y. Ko, G.G. Patry, A-M. Cretu, and E.M. Petriu, "Neural Network Model of Municipal Wastewater Components for a Wastewater Treatment Plant", Proc. IEEE

Int. Workshop on Advanced Environmental Sensing and Monitoring Techniques, pp. 23-28, Como, Italy, Jul. 2003. • K.-Y. Ko, G.G. Patry, A.-M. Cretu, and E.M. Petriu, "Neural Network Model for Wastewater Treatment Plant Control", Proc. IEEE Int. Workshop on Soft

Computing Techniques in Instrumentation, Measurement and Related Applications, pp. 38-43, May 2003. • I. Joudeh, A.-M. Cretu, B. Wallace, and R. Goubran, "Recognition of Sitting-down and Standing-up Activities using WiFi Channel State Information", Data Day

6.0, Carleton University, poster presentation, May 2019 (Research Poster Prize from the Statistical Society of Ottawa, first place). • A.-M. Cretu, "Computational Intelligence Techniques for 3D Object Modeling", invited talk, Ottawa AI Alliance workshop, Oct. 2018. • A.-M. Cretu, "Biologically-Inspired Visual Attention Models for Improved Sensing and Modeling", invited talk, IEEE Engineering in Medicine and Biology Society Ottawa Chapter, Nov. 2017. • A.-M. Cretu, "Computational Intelligence for Experimental Data Acquisition and Analysis in Sensor Systems", invited talk, Carleton University, Nov. 2016. • T.E.A. Oliveira, V.P. Fonseca, A.-M. Cretu, E.M. Petriu, “Multi-Modal Bio-Inspired Tactile Module”, UOttawa Graduate and Research Day, UOttawa Graduate and Research Day, University of Ottawa, Mar. 2016 (Research Poster Prize in Electrical Engineering, first place; IEEE Research Poster Prize, first place). • G.M. Nascimento, J. Beacon, P. Payeur, G. Comeau, V. D'Aoust, M.-A. Charpentier, A.-M. Cretu, R. Pedroso, "A Human Gesture Evaluation Tool for Somatic

Training and Piano Performance", poster presentation, Symposium Science Without Borders, Ottawa, ON, 8 Aug. 2014. • J. McCausland, R. Abielmona, A. -M. Cretu, Rafael Falcon, and E.M. Petriu, “A Proactive Risk-Aware Robotic Sensor Network for Critical Infrastructure

Protection”, poster, 2013 Annual Research Review Healthcare Support through Information Technology Enhancements (hSITE), Montreal, QC, 18 Nov. 2013. • A.-M. Cretu, “Traitement d'images et méthodes inspirées de la biologie", invited talk, Centre de Recherche Informatique de Montréal (CRIM), Montreal, Apr.

2013. • A.-M. Cretu, “L’attention visuelle pour des applications en imagerie”, Université du Québec en Outaouais, Mar. 2013. • M. I. Sina, A.-M. Cretu, and P. Payeur, “Biological Visual Attention Guided Automatic Image Segmentation with Application in Satellite Imaging”, UOttawa

Graduate and Research Day, University of Ottawa, Feb. 2012. • E.M. Petriu, and A.-M. Cretu, "Neural Network Solutions for Object Modeling and Pattern Recognition", Workshop on Smart Surveillance System Applications,

CASCON2010, Toronto, On, Oct. 2010. • A.-M. Cretu, P. Payeur and E.M. Petriu, “Selective Vision Sensing with Neural Gas Network”, Graduate and Research Day, University of Ottawa, Feb. 2008. • A.-M. Cretu, P. Payeur and E.M. Petriu, “Automated Selective Sensing with Neural Gas Network”, Discovery 2007, OCE, Toronto, May 2007. • A.-M. Cretu, E.M.Petriu and P. Payeur, “Neural Network Mapping of Elastic Behavior from Tactile and Range Imaging for Virtualized Reality Applications”,

Graduate and Research Day, University of Ottawa, Feb. 2007 (Research Poster Prize, third place). • A.-M. Cretu, “Neural Network Modeling of 3D Objects for Virtualized Reality Applications”, invited talk, IEEE Computational Intelligence Society, Ottawa Chapter, May 2004.

• M. Bélisle-Leclerc, and A.-M. Cretu, "Traffic Accident Modeling and Prediction: Machine Learning Techniques Comparison for the 2013 Dataset", Ottawa Police Services Research Project, Technical report, Nov. 2017. • A.-M. Cretu, A. Mageau-Pétrin, C. Hopgood, “Traffic Accident Modeling and Prediction”, Ottawa Police Service Research Project, Technical report, May 2016, 33 pages. • A.-M. Cretu, A. Mageau-Pétrin, “Intelligence-Led Traffic Enforcement: Data Mining Techniques for Accident Prediction”, Ottawa Police Service Research Project, Technical report, Jan. 2016, 159 slides. • A.-M. Cretu, P. Payeur and M. I. Sina, "Biologically-Inspired Architectures for Visual Attention and Information Extraction in Geospatial Imagery", SME4SME and PCI Geomatics Research Project, Final Report. SMART Research Group, University of Ottawa, 22 March 2012, 44 pages. • A.-M. Cretu, and P. Payeur, "Neuro-Inspired Computational Intelligence for Geoimaging Systems" Technical report, MITACS and PCI Geomatics Research Project, Final report, 11 Nov. 2011, 66 slides. • A.-M. Cretu, "Computational Models for Visual Attention and Recognition: State-of-the-Art", Technical Report, SMART Research Group, University of Ottawa, 21 Jun. 2011, 30 pages. • A.-M. Cretu, "Neural Networks for Object Segmentation and Tracking in Image Sequences", SMRLab, University of Ottawa, Technical Report, 15 Dec. 2009, 15 pages. • A.-M. Cretu, "State-of-the-Art on Deformable Object Models", SMRLab, University of Ottawa, Technical Report, 2005. • A.-M. Cretu, "A Survey on 3D Object Modeling Techniques", SMRLab, University of Ottawa, Technical Report, 2003