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Tuesday, August 10, 2021 - Summer School Schedule Overview
Time |
Event |
| 10:00 – 10:05 | Opening Remarks |
| 10:05 – 12:05 | Tutorials, live (3-4 tutorials) |
| 12:05 – 12:30 | Lunch Break |
| 12:30 – 2:00 | Poster session (with opening), pre-recorded |
| 2:00 – 4:50 | Tutorials, live (5 tutorials) |
| 4:55 – 5:15 | Closing, Poster winners announcement |
This Summer School “Autodefence” is organized in conjunction with the IEEE ICAS 2021 by the participants of the micro-net that involves academic researchers from the University of Calgary, University of Toronto, McGill University, University of Waterloo and Concordia University. This Summer School aims to disseminate the developed knowledge and expertise, especially among young researchers entering the field, and enable exchange of ideas within the international research community.
This event will include live Tutorials by the participants of the IDEaS micro-net “Autodefence”. The graduate students/ participants of the Summer Schools will present their current research at the Poster session (5 min pre-recorded video, 2 min live Q&A).
Detailed Program
(10:00-10:05) Opening Remarks
- Dr. Ming Hou, Co-Chairs Dr. S. Yanushkevich, Dr. A. Mohammadi,
(10:05-12:05) Tutorials – Part 1
- Tutorial 1: 10:05-10:45 (35min + 5min Q/&);
- Presenter: Dr. Hamid Najafabadi ([email protected]), Prof. Henry Leung ([email protected])
- Affiliation: Postdoc Associate at University of Calgary (Presenter); Professor, Electrical & Software Engineering, University of Calgary
- Title of Talk: Cognitive Radar Design Using Deep Learning
- Tutorial 2: 10:45-11:25 (35min + 5min Q/&);
- Presenter: Prof. Yingxu Wang ([email protected])
- Affiliation: Professor, Electrical & Software Engineering, University of Calgary
- Title of Talk: Autonomous Systems and Autonomous Neural Networks for Machine Learning
- Tutorial 3: 11:25-12:05 (35min + 5min Q/&);
- Presenter: Yeganeh Zamiri ([email protected]), Prof. Konstantinos N. Plataniotis ([email protected])
- Affiliation: Ph.D. Candidate (Presenter); Professor, Electrical and Computer Engineering, University of Toronto
- Title of Talk: Cognitive Dynamic Systems – Acquiring Information from Surprise
(10:05-12:30) Lunch Break
(12:30-2:00) Poster Presentations
(Co-Chairs: Dr. S. Yanushkevich ([email protected]), Dr. A. Mohammadi ([email protected]))
- Poster 1: 12:30-12:37 (5 min + 2min Q/&);
- Title: Training-free Semantic Learning for Autonomous Fake News Recognition
- Presenter: James Y. Xu
- Email: [email protected]
- Poster 2: 12:37-12:44 (5 min + 2min Q/&);
- Title: Social Behavioral System for Person Identification from Online Traits
- Presenter: Brandon Sieu (University of Calgary)
- Email: [email protected]
- Poster 3: 12:44-12:51 (5 min + 2min Q/&);
- Title: RGBD Object Detection
- Presenter: Minyuan Huang
- Email: [email protected]
- Poster 4: 1:12-1:19 (5 min + 2min Q/&);
- Title: Trustworthy and Time-Varying Connection Scheduling in a Coupled UAV-aided Cellular Network
- Presenter: Zohreh Hajiakhondi
- Email: [email protected]
- Poster 5: 1:26-1:33 (5 min + 2min Q/&);
- Title: Relatable objects detection
- Presenter: Thomas Truong
- Email: [email protected]
- Poster 6: 1:19-1:26 (5 min + 2min Q/&);
- Title: Autonomous, Blockchain-based, and Trustworthy Indoor Contact Tracing
- Presenter: Mohammad Salimibeni
- Email: [email protected]
- Poster 7: 1:33-1:40 (5 min + 2min Q/&);
- Title: Stress detection and assessment
- Presenter: Kenneth Lai
- Email: [email protected]
- Poster 8: 12:51-12:58 (5 min + 2min Q/&);
- Title: SVEA: A Small-scale Benchmark for Validating the Usability of Post-hoc Explainable AI Solutions in Image and Signal Recognition.
- Presenter: Sam Sattarzadeh
- Email: [email protected]
- Poster 9: 12:58-1:05 (5 min + 2min Q/&);
- Title: A Bayesian Surprise Approach in Designing Cognitive Radar For Autonomous Vehicles
- Presenter: Yeganeh Zamiri
- Email: [email protected]
- Poster 10: 1:05-1:12 (5 min + 2min Q/&);
- Title: Towards an internal process model for trustworthy human-machine haptic interactions
- Presenter: Stanley Tarng
- Email: [email protected]
- Poster 11: 1:40-1:47 (5 min + 2min Q/&);
- Title: Multi-Agent Gradient-based Off-policy Actor-Critic Algorithm for Reinforcement Learning
- Presenter: Jineng Ren
- Email: [email protected]
- Poster 12: 12:47-12:54 (5 min + 2min Q/&);
- Title: Explainable AI Frameworks for Visual Anomaly Detection
- Presenter: Xiaozhuo Yu
- Email: [email protected]
(14:00-16:05) Tutorials – Part 2
- Tutorial 4: 2:00-2:35 (30min + 5min Q/&);
- Title of Talk: State-of-the-art of sensory cue integration
- Presenter: Stanley Tarng ([email protected]) , Prof. Yaoping Hu ([email protected])
- Affiliation: Graduate Student, University of Calgary; Professor, Electrical and Software Engineering, University of Calgary
- Tutorial 5: 2:35-3:10 (30min + 5min Q/&);
- Title of Talk: Spatio-temporal forecasting for multivariate time-series
- Presenter: Prof. Mark Coates
- Affiliation: Professor, Electrical and Computer Engineering, McGill University
- Tutorial 6: 3:10-3:45 (30min + 5min Q/&);
- Title of Talk: Analysis and Prediction in Autonomous Biometrics Authentication Systems
- Presenter: Prof. Marina Gavrilova
- Affiliation: Associate Head Computer Science Department, University of Calgary, Editor in chief TCS Journal Springer
- Tutorial 7: 3:45-4:20 (30min + 5min Q/&);
- Title of the Talk: Deep Learning Approaches for Visual Anomaly Detection
- Presenter: Ambareesh Ravi ([email protected]), Prof. Fakhri Karray ([email protected]) and Prof. Baris Fidan ([email protected])
- Affiliation: Graduate Student, University of Waterloo (Presenter), Professor, Electrical and Computer Engineering, Mechanical and Mechatronics Engineering, University of Waterloo
- Tutorial 8: 4:20-4:50 (30min + 5min Q/&);
- Title of Talk: Visual Post-hoc Explainable AI (XAI) for convolution Neural Networks
- Presenter: Sam Sattarzadeh ([email protected]), Prof. Konstantinos N. Plataniotis ([email protected])
- Affiliation: Graduate Student, University of Toronto (Presenter); Professor, Electrical and Computer Engineering, University of Toronto
