We are pleased to host Dr. Mohammad Faghani Senior Manager in the Cybersecurity & Privacy practice of PwC Canada on Monday, September 30, 2019 at Concordia university as part of Distinguished Lecture Series.
Please consult the following link for additional information:
Topics of interest include but are not limited to: (1) Assistive and Neuro-Rehabilitation Systems; (2) Advanced Bio-Signal Processing & Machine Learning; (3) Intelligent Assistive Mechateronic Technologies; (4) Bio-Robotic Rehabilitation Systems; (5) Multi-modal Sensing for Mobile Health; (6) Bio Deep Learning: Biomedical Signals/Images; (7) Wearable Assistive Systems; (8) Intelligent Robotic Rehabilitation; (9) Physical Human-Robot Interaction; Bio-Robotic Rehabilitation Systems; (10) Brain Computer Interfacing (BCI); (11) Biomedical Data Fusion.
Topics of interest include but are not limited to: (i) Augment interpretable capabilities of DNNs; (ii) Provide explanation on the internal and overall behaviour of different DNN architectures (e.g., Convolutional Neural Networks (CNNs), Generative Adversarial Networks (GANs), and Capsule Networks); (iii) Interpret properties of the input that lead to a specific output, and; (iv) Provide intuitive rationales behind the decisions made by DNNs.
We are pleased to host Prof. Vagelis Papalexakis from University of California Riverside on Friday, December 7, 2018 at Concordia university as part of Distinguished Lecture Series.
Please consult the following link for additional information:
We are pleased to host Morteza Zihayat from Ryerson University, Toronto, ON, on Monday October 1st 2018 at Concordia university as part of Invited Speaker Seminar.
Please consult the following link for additional information:
Segmentation of Tumour region in Lung CT Images, is the initial task of the 2018 VIP-Cup challenge. Segmentation (i.e., providing contour or bounding box) and Localization (i.e., a class label is supposed to be assigned to each pixel) are considered as the critical step within the Radiomics workflow, as typically Radiomics features are extracted from segmented sections. Although, manual delineation of the gross tumour is the conventional (standard) clinical approach, it is time consuming and extensively sensitive to inter-observer variability. Automatic and semi-automatic segmentation methods together with their ability to minimize manual error and increase consistency of delineating regions are of paramount importance.
Topics of interest include but are not limited to: (1) Access control languages; (2) Computer and network security; (3) Code reverse engineering and vulnerability exploitation; (4) Computer and network security; (5)Security management and security policies; (6) Data mining & watermarking;(7) Distributed security protocols & policies; (8) Information theoretic security;(9) Formal foundations in information or operational security; (10) Policy-based security architectures;(11) Privacy & sensitive data management; (12) Security of big-data;(13) Policy-based distributed information systems; (14) Security of P2P systems; (15) Security & privacy in social networks; (16) Social engineering;(17) Security in sensor networks and RFIDs; (18) Cryptography & cryptanalysis;(19) Threat analysis and trust management; (20) Side channel & physical attacks; (21) Security of service-oriented architectures
We are pleased to host Prof. Plataniotis from University of Toronto on Monday, August 9, 2018 at Concordia university as part of Distinguished Lecture Series.
Please consult the following link for additional information:
We are pleased to host José Zariffa from the Toronto Rehabilitation Institute (TRI) - University Health Network (UHN) - and the Institute of Biomaterials and Biomedical Engineering at the University of Toronto, Toronto, ON, on Tuesday June 19th 2018 at Concordia university as part of Invited Speaker Seminar.
Please consult the following link for additional information:
We are pleased to host Dr. Nariman Farsad from Department of Electrical Engineering at Stanford University, Boston, MA, USA, on Wednesday May 30th 2018 at Concordia university as part of Invited Speaker Seminar.
Please consult the following link for additional information:
Dr. Mohammadi gives a talk on May 8th, 2018, at Toronto Rehabilitation Institute (TRI). Title of the talk is "Advanced Signal Processing & Machine Learning for Hybrid Brain Computer Interfacing and Pathological Tremor Extraction".
Topics of interest include but are not limited to: (1) Medical Cyber Physical Systems (MCPS);(2) Bio-signal Processing & Machine Learning for MCPS; (3) Signal Processing for Rehabilitation & Assistive System; (4) Brain Computer Interfacing; (5) Signal Processing for Wearable Health Technologies; (6) Multi-modal Sensing for Mobile Health; (7) Biomedical Image Processing; (8) Augmented Rehabilitation Systems; (9) Bio-Robotic Rehabilitation Systems; (10) Signal/Video Processing in MCPS; (11) Wireless Wearable Sensors: Active Learning; (12) Deep Learning: Biomedical Signals/Images; (13) Distributed Signal Processing in Medical Data, and; (14) Explainable Deep Learning for MCPS.
We are pleased to host Dr. Sarah Ostadabbas Technical Co-Chair of Symposium on Signal Processing and Machine Learning in Large Medical Datasets from Electrical and Computer Engineering Department, Northeastern University, Boston, MA, USA, on on Friday November 17th 2017 at Concordia university as part of Invited Speaker Seminar.
Please consult the following link for additional information:
We are pleased to host Dr. Ann Cavoukian former Information & Privacy Commissioner of Ontario and the Executive Director of the Privacy and Big Data Institute, Ryerson University, Toronto, on Thursday, June 15, 2017 at Concordia university as part of Invited Speaker Seminar.
Presentation Slides will be HERE.
Please consult the following link for additional information:
Dr. Mohammadi gives a talk on May 2rd, 2017, as part of Special Seminar Series at ECE Carnegie Mellon University. Title of the talk is "Secure Signal Processing Solutions for Distributed Processing and Anomaly/Attack Detection in CyberPhysical Systems (CPSs)".
We are pleased to host Mr. Guylain Roy-MacHabee from the Rx Networks Inc/Fhatom Systems Inc., Vancouver, BC, on Monday, April 24, 2017 at Concordia university as part of Invited Speaker Seminar.
Please consult the following link for additional information:
We are pleased to host Dr. Atashzar from Western University on Friday, March 24, 2017 at Concordia university as part of Invited Speaker Seminar.
Please consult the following link for additional information:
Topics of interest to the special issue include but are not limited to: (i) Bio-Signal Processing for Mechatronic Rehabilitation Systems; (ii) Machine Learning for Motion Assessment, NeuroRehabilitation and Therapy; (iii) Smart Assistive Technologies; (iv) Brain-Computer Interface for NeuroRehabilitation and Assistive Technologies; (v) Intelligent Movement Assessment, Analysis and Monitoring; (vi) Multimodal Human-robot & Human-telerobot interaction for Health Technologies, and; (vii) Cybernetics in Rehabilitation and Diagnostic Sciences
Topics of interest include but are not limited to: (1) Signal Processing for Rehabilitation, Motor Assessment and Assistive Systems; (2) Brain-computer Interfaces; (3) Augmented Haptic Rehabilitation Systems; (4) Multi-modal Sensing for Mobile and Tele Health; (5)Signal Processing for Multilateral Rehabilitation; (6) Signal Processing for Wearable Health Technologies; (7) Intelligent Robotic & Mechatronic Rehabilitation Systems; (8) Signal Processing for Cooperative Rehabilitation Therapy; (9) Signal/Video processing for Tele-rehabilitation; (10) Machine learning and Intelligent Mechatronic Systems for Motor Rehabilitation, Assessment and Assistance
Dr. Mohammadi gives a talk on Feb. 2nd, 2017, as part of University of Toronto's Identity, Privacy and Security Institute (IPSI) Seminar Series. Title of the talk is "Secure State Estimation in Cyber-Physical Systems/Smart Grids: Challenges and Opportunities".
Dr. Mohammadi gives a talk on Jan. 16th, 2017, as part of University of Toronto's Centre for Power and Information (CPI) Seminar Series. Title of the talk is "Secure Signal Processing Solutions for Attack Detection/Isolation in CPSs".
As the Vice-Chair of IEEE Montreal Signal Processing Montreal Chapter, it is my great pleasure to announce that The Signal Processing Chapter of IEEE Montreal Section received The 2016 IEEE Montreal Section Chapter of the Year Award.
To provide a systematic base for future advancements of Cyber Physical Systems (CPS), this special issue aims to provide a research venue to investigate distributed signal processing techniques with adaptation, cooperation, and learning capabilities which are secure against cyber-attacks and protected against privacy leaks. The emphasis of this special issue is on distributed/network aspects of security and privacy in CPSs.
We would like to invite you to attend the upcoming IEEE Signal Processing Society Winter School on Distributed Signal Processing for Secure Cyber Physical Systems at Concordia University, between Nov. 2-4. This event consists of 10 presentations given by internationally well-known Distinguished Speakers including members of IEEE Signal Processing Society Board of Governors, and 6 IEEE Fellows from IEEE Signal Processing Society. This is a unique opportunity for both faculty members and students working/interested in signal processing to participate/attend these talks. Please check the School's Homepage for further details:
We are pleased to host Prof. Plataniotis from University of Toronto on Monday, April 25, 2016 at Concordia university as part of Distinguished Lecture Series.
Please consult the following link for additional information:
One paper entitled: "Diffusive Particle Filtering for Distributed Multisensor Estimation" has got accepted in IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) 2016
One paper entitled: "Distributed Widely Linear Multiple-Model Adaptive Estimation" has got accepted in EEE Transactions on Signal and Information Processing over Networks (SIPN).
One paper entitled: "Improper Complex-Valued Bhattacharyya Distance" has got accepted in IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
One paper entitled: "Structure-Induced Complex Kalman Filter for Decentralized Sequential Bayesian Estimation" has got accepted in IEEE Signal Processing Letters (SPL).
One paper entitled: "Improper Complex-Valued Multiple-Model Adaptive Estimation," has got accepted in IEEE Transactions on Signal Processing (TSP).
