SCHEDULE

Date	Time	Event
Sun, Sep 24	12:00 – 21:00	Registration (Umbria Room)
	13:00 - 14:00	Panel: Indigenous Way of Knowing Panelists: Mr. John Desjarlais, Dr. Dennis Michaelson and Dr. Edward Doolittle Moderator: Leanna Bellegarde (Umbria Room)		Tutorial: Time-Series Forecasting with Meta-Learning: Basics and Applications Presenters: Dr. Di Wu, Dr. Arnaud Zinflou and Dr. Benoit Boulet (Campania A Room)
	14:00 - 15:00
	15:00 - 16:00	Panel: Socio-Economical Impact Due to Initiatives Towards Green Engineering Panelists: Dr. Robert Crawhall, Dr. Maike Luiken, Dr. Richard Boudreault and Dr. Siddarth Pandey Moderator: Dr. Samantha Sriyananda (Umbria Room)		Tutorial: Deep Learning for Computer Vision – A Cloud-based GPU Deployment and Testing Presenter: Dr. Abdul Bais (Campania A Room)
	16:00 - 17:00
	17:00 - 18:00			Tutorial: Generative AI (GenAI) and its impact on Post-Secondary Education Presenter: Dr. Kin-Choong Yow (Campania A Room)
	18:00 - 19:00	Break
	19:00 – 21:00	Reception (Verdi Ballroom)
Mon, Sep 25	8:00 – 18:00	Registration (Umbria Room)
	8:45 – 9:00	Opening Ceremonies Dr. Raman Paranjape, Conference Chair, CCECE 2023 Rob Anderson, IEEE Region 7 Director (Umbria Room)
	9:00 – 9:45	Keynote Address I Unleashing Canada's Innovation Capacity: Creating Opportunities and Impact Through Entrepreneurial Thinking Dr. Elizabeth Cannon, PhD, PEng, OC, AOE, FRSC, FCAE President Emerita and Professor, Geomatics Engineering, University of Calgary (Umbria Room)
	9:45 – 10:15	Coffee Break
	10:15 – 11:55	Technical Session: Machine Learning I (Umbria Room)	Technical Session: Power I (Campania A Room)	Technical Session: Computer Vision I (Campania B Room)	Technical Session: Bioengineering I (Sorrento Room)
	11:55 – 13:15	Lunch (Umbria) Keynote Address II Saskatchewan's Electricity Transition Tim Eckel, Vice President, Energy Transition and Asset Management, SaskPower
	13:15 – 14:55	Technical Session: Machine Learning II (Umbria Room)	Technical Session: Power II (Campania A Room)	Technical Session: Computer Vision II (Campania B Room)	Technical Session: Bioengineering II (Sorrento Room)
	14:55 – 15:20	Coffee Break
	15:20 – 17:00	Technical Session: Machine Learning III (Umbria Room)	Technical Session: Power III (Campania A Room)	Technical Session: Computer Vision III (Campania B Room)	Technical Session: Control (Sorrento Room)
	17:00 – 17:15	Break
	17:15 - 17:45	Transportation to Banquet (Busses will depart from Delta Hotel)
	18:30 – 20:30	Conference Banquet and IEEE Region 7 Awards Gala (Terrace Rotunda, 10 Research Drive)
	20:30 – 21:30	Transportation to Delta Hotel
Tues, Sep 26	8:00 – 17:30	Registration (Umbria Room)
	8:45 – 9:00	Opening Remarks or Announcements Dr. Raman Paranjape, Conference Chair, CCECE 2023 (Umbria Room)
	9:00 – 9:45	Keynote Address III Geothermal Power Generation in SE Saskatchewan - DEEP Earth Energy Production Kirsten Marcia, President and Chief Executive Officer, DEEP Earth Energy (Umbria Room)
	9:45 – 10:15	Coffee Break
	10:15 – 11:55	Technical Session: Machine Learning IV (Umbria Room)	Technical Session: Power IV (Campania A Room)	Technical Session: Circuits (Campania B Room)	Technical Session: Cybersecurity I (Sorrento Room)
	11:55 – 13:15	Lunch & Keynote Address IV: RH Tanner Industry Leadership Keynote Bridging Academia and Industry: Insights from 5G and AI Innovations Abdallah Shami, Ph.D., P.Eng., FCAE, FEIC, The University of Western Ontario (Umbria room)
	13:15 – 14:50	Technical Session: Machine Learning V (Umbria Room)	Technical Session: Communications I (Campania A Room)	Technical Session: Computer Engineering (Campania B Room)	Technical Session: Cybersecurity II (Sorrento Room)
	14:50 – 15:20	Coffee Break
	15:20 – 17:00	Technical Session: Machine Learning VI (Umbria Room)	Technical Session: Communications II (Campania A Room)	Technical Session: Signal Processing (Campania B Room)	Technical Session: Green Technologies (Sorrento Room)
Wed, Sep 27
	9:00 – 16:30	Tour A Canadian Light Source Saskatoon, SK	Tour B SaskPower Boundary Dam Estevan, SK
	9:30 – 11:30			Tour C1 SaskTel Telco Cloud Journey and the Enablement of 5G Regina, SK	Tour D1 SaskPower Grid Control Centre and Slip Simulator Regina, SK
	11:30 – 13:30
	13:30 – 15:30			Tour C2 SaskPower Grid Control Centre and Slip Simulator Regina, SK	Tour D2 SaskTel Telco Cloud Journey and the Enablement of 5G Regina, SK

TECHNICAL PRESENTATION SCHEDULE

		Room
		Umbria	Campania A	Campania B	Sorrento
2023-09-25	10:15 - 11:55	Machine Learning I	Power I	Computer Vision I	Bioengineering I
	1	Subtractor-Based CNN Inference Accelerator Victor Gao; Issam Hammad; Kamal El-Sankary; Jason Gu	A Hour-Ahead Wind Speed Forecasting Using One-Dimensional Convolutional Neural Network Mohammadhossein Nazemi; Shaikat Chowdhury; Alimul H Khan; Xiaodong Liang	AI-Based General Visual Inspection of Aircrafts Based on YOLOv5 John David Maunder; Jiesi Zhang; Jianming Lu; Tianyi Chen; Zach Hindley; Eric Saczuk; Michal Aibin	Investigating Multimodal Sensor Features Importance to Detect Agitation in People with Dementia Abeer Badawi; Khalid Elgazzar; Bing Ye; Kristine Newman; Alex Mihailidis; Andrea Iaboni; Shehroz S. Khan
	2	On the Performance of Legendre State-Space Models in Short-Term Time Series Forecasting Jiuqi Elise Zhang; DI WU; Benoit Boulet	Data-Driven Approaches for Distribution Transformer Health Monitoring: A Review Aman Samson Mogos; Xiaodong Liang; Chi Yung Chung	Dual-Modality Deep Feature-Based Anomaly Detection for Video Surveillance Parth Lalitkumar Bhatt; Dhruva Shah; Chrstopher R. N. Silver; Wandong Zhang; Thangarajah Akilan	Investigation of Cavitation Detector for Sonothrombolysis Sergio S Furuie; Wilton Ruas da Silva; Vitoria S Souza; Patricia A S Guenkawa
	3	Quality Prediction and Prioritizing the Modelled Protein Structures Using TOPSIS and Regression Methods Tarandeep Singh Aulakh; Haryali Dhillon	A Soft-Switched Step-Up Non-Isolated Zeta-Flyback Converter for Solar PV Applications Alireza Asadi; Omid Mohammadpour; Xiaodong Liang	Monitoring Wheat Midge Populations Using CNNs on White Sticky Cards of Pheromone Traps in Field Settings Ikenna Nwoko; Muhib Ullah; Abdul Bais; Shaun Sharpe; Tyler Wist	Connected ResU-Net: A Deep Learning Model for Segmentation of Breast Cancer Ultrasound Images Oisharya Dhar; Kin Choong Yow
	4	An Investigation of Latency-Accuracy Trade-Off in Inter-Frame Video Prediction Using Quantized CNNs Tharuki R De Silva; Pradeepa Yahampath	Frequency Control Techniques for Solar PV Systems: A Review Mohammadhossein Nazemi; Xiaodong Liang	A Novel Approach for Fall Detection Using Thermal Imaging and a Stacking Ensemble of Autoencoder and 3D-CNN Models Chrstopher R. N. Silver; Thangarajah Akilan	Penetration Depth Quantification of Open-Ended Coaxial Probes for Dielectric Spectroscopy of Layered Media Hossein Asilian Bidgoli; Nicola Schieda; Carlos Rossa
	5		Impact of Plug-In Electric Vehicle Charging and Roof-Top PVs on Distribution Transformer Health: A Case Study in Saskatoon, Canada Aman Samson Mogos; Xiaodong Liang; Chi Yung Chung		Categorization of Speech Frequency Following Response to English Vowels Ruichen Zuo; Xingzhong Zhang; Jiying Zhao
	13:15 - 14:55	Machine Learning II	Power II	Computer Vision II	Bioengineering II
	1	Multimodal Deep Learning Model for Subject-Independent EEG-Based Emotion Recognition Shyamal Yogeshchandra Dharia; Camilo E. Valderrama; Sergio G. Camorlinga	Wind Speed Forecasting Using ARMA and Boosted Regression Tree Methods: A Case Study Mariana Castillo; Xiaodong Liang; Sherif Faried	American Sign Language Character Recognition Using Convolutional Neural Networks Atesam Abdullah; Raja Hashim Ali; Zain Ul Abideen; Ali Zeeshan Ijaz; Nisar Ali; Abdul Bais	Exploring Gene Expression and Clinical Data for Identifying Prostate Cancer Severity Levels Using Machine Learning Methods Ahmed Al Marouf; Reda Alhajj; Jon Rokne; Sunita Ghosh; Tarek A. Bismar
	2	Single Channel Speech Enhancement Using U-Net Spiking Neural Networks Abir Riahi; Eric Plourde	Sensitivity in Low Power Photo-Voltaic Harvesters/Charger Maziar Rastmanesh	Replacing Averaging with More Powerful Self-Attention Mechanism for Multi-Image Super-Resolution Dingyi Zhao; Jiying Zhao	Medical Imaging RPA System Design Zhenjie Zhou; Yiwu Chen; Fangyuan Huang; Yun Feng; Michal Aibin
	3	Estimating Post-Synthesis Area, Delay, and Leakage Power of Standard Cell Based FPGA Tiles Mousa Al-Qawasmi; Andy Ye	A Quantum Minimum Cut-Set Method for Vulnerable Node Localization Against False Data Injection Attacks Zhuoheng Wu; Yuan Liu; Hao Liang	Lightweight Model for Emotion Detection from Facial Expression in Online Learning Md Rayhan Kabir; M. Ali Akber Dewan; Fuhua Lin	Significance of Major Transportation Hubs in the Prediction of COVID-19 in Canada Amirhossein Motavali; Kin Choong Yow
	4	Evaluating the Benefits of Asymmetry Features for Emotion Recognition Camilo E. Valderrama; Fatima Islam Mouri; Sergio G. Camorlinga	Battery Energy Storage and Their Ancillary Services with Renewable Energy: A Review Mariana Castillo; Xiaodong Liang; Sherif Faried	Scene Parsing Using Fully Convolutional Network for Semantic Segmentation Nisar Ali; Ali Zeeshan Ijaz; Raja Hashim Ali; Zain Ul Abideen; Abdul Bais	Electrocardiogram Removal to Establish a Motion Artifact Database Jonathan Kulpa; Adrian D.C. Chan
	5	Firefly Optimized Federated SVM Model for Breast Cancer Prediction Supriya Y; Chemmalar Selvi Govardanan, Assistant; Gokul Yenduri; Gautam Srivastava; Thippa Reddy Gadekallu	A Comparative Analysis for Control of Heating and Cooling Systems of a Real Office Building with TRNSYS Mohammad Ghiasi; Farrukh Ahmed; Raman Paranjape; Zhanle Wang; Mehran Mehrandezh
	15:20 - 17:00	Machine Learning III	Power III	Vision III	Control
	1	Automatic Analysis of Online Course Discussion Forum: A Short Review Dharamjit Parmar; M. Ali Akber Dewan; Dunwei Wen	Effects of Control Strategies on the Assessment of Power Converter Losses in Electric Vehicle Drivetrains Stephane Menye; Pascal Lingom; Joseph Song-Manguelle; Jean Maurice Nyobe-Yome; Mamadou Lamine Doumbia	Face Mask Detection Using Vision Transformer Bhavik Pandya; Darshana Patel; Kin Choong Yow	Trajectory Planning for a Fully Parallel Manipulator Using a Bio-Inspired Model Based on Central Pattern Generator Ismail Mobasher; Yadollah Farzaneh
	2	STACKION: Ion Channel-Modulating Peptides Identification Using Stacking-Based Ensemble Machine Learning Md. Mamun Ali; Kawsar Ahmed; Francis M. Bui; Li Chen	Balanced Graph Partition for Resilient Load Restoration Against Natural Disasters Wenlong Shi; Hao Liang	Self-Attention Blocks in UNet and FCN for Accurate Semantic Segmentation of Difficult Object Classes in Autonomous Driving Seyed-Hamid Mousavi; Kin Choong Yow	Design and Development of a Novel Haptic Device for Plucked Musical Instrument AR Simulation Pooyan Nayyeri; Everly Conrad-Baldwin; Kourosh Zareinia
	3	Generative Conditional Facial Reenactment Method Using a Human Expression Palette Wes Sauder; M. Ali Akber Dewan; Vive Kumar	An Observer-Based Event-Triggered Cooperative Secondary Control of Microgrids Under Switching Topologies Masood Mottaghizadeh; Innocent Kamwa; Abbas Rabiee; Seyed Masoud Mohseni-Bonab	KORSAL: Key-Point Detection Based Online Real-Time Spatio-Temporal Action Localization Kalana G Abeywardena; Shechem K Sumanthiran; Sakuna Jayasundara; Sachira R Karunasena; Ranga Rodrigo; Peshala Jayasekara	Barrier Lyapunov Function Based Trajectory Tracking Controller of a Quadrotor UAV Adel Khadhraoui; Mohamad Saad
	4	FedRSMax: An Effective Aggregation Technique for Federated Learning with Medical Images Md. Nazmul Hossen; Kawsar Ahmed; Francis M. Bui; Li Chen	Impact Evaluation of EV Integration into Residential Power Distribution System Mohamed Elhendawi Ahmed; Zhanle Wang; Raman Paranjape; Shea Pederson; Darcy Kozoriz; James Fick	Upsampling of Unmanned Aerial Vehicle Images of Sugarcane Crop Lines with a REAL-ESRGAN Emília Alves Nogueira; Juliana Felix; Afonso Ueslei Fonseca; Gabriel Vieira; Julio Cesar Ferreira; Deborah S. A. Fernandes; Bruna Mendes Oliveira; Fabrizzio Soares	Employing a Redundant Degree of Freedom for a Parallel Manipulator to Enhance Performance Indexes Ismail Mobasher; Behrooz Lotfi
	5		Novel Control of Battery Energy Storage System (BESS) as STATCOM (BESS-STATCOM) for Stabilization of a Critical Motor Rajiv K. Varma; Milad Ahmadi; Cristian Arpino		Indoor Testbed for Autonomous Localization Intelligent Control and Sensing Joel Moore; Emmanuel Buraga; John Enright
2023-09-26	10:15 - 11:55	Machine Learning IV	Power IV	Circuits	Cybersecurity I
	1	Performance Comparison of Voice Activity Detectors for Acoustic Beehive Monitoring Mahsa Abdollahi; Nico Coallier; Pierre Giovenazzo; Tiago Falk	Increasing Ethene Yield via Oxidative Coupling of Methane at Low Temperature: An Application of Machine Learning and DFT in the Design and Innovation of Effective Catalyst Compositions Lord Ikechukwu Ugwu; Hussameldin Ibrahim; Yasser Morgan	FPGA-Based 8x8 Bits Signed Multipliers Using LUTs Noureddine Chabini; Rachid Beguenane	Protection of Power System State Estimation Against False Data Injection Attacks Mohsen Khalaf; Abdelrahman Ayad; Deepa Kundur
	2	Cloud-Based Knowledge Extraction (CBEx) System: A Solution for Real-Time Data Analysis for Rapid Decision Making Julian Falardeau; Melita Hadzagic; Elisa Shahbazian	Dynamic Eccentricity Fault Detection in Synchronous Machines Using Principal Component Analysis Latifa Yusuf; Ilamparithi Thirumarai-Chelvan	An Efficient VHDL Implementation of Two Artificial Neural Networks on Zynq-7000 FPGA Kaveh Sadeghikhah; Lei Zhang; Raman Paranjape	RSM: A Real-Time Security Monitoring Platform for IoT Networks Imran Bin Jafar; Irfan S. Al-Anbagi
	3	Dark Web Traffic Detection Using Supervised Machine Learning Sahra Zangeneh Nezhad; Amirali Baniasadi	Stator Inter-Turn Fault Detection in BLDC Motors: A Signal-Processing Based Method Ahmad Jafari; Mohammad Amin Jarrahi; Jawad Faiz	Comparing FPGA-Based Adders and Application to the Implementation of a Digital FIR Filter Justin Woelfle; Noureddine Chabini; Rachid Beguenane	Efficient BGP Intrusion Detection Model Using Machine Learning: A Comparative Study with AdaBoost as the Optimal Classifier Mohamed Manaf Abdoun; Mouhcine Guennoun; Amine Amar; Tarek Saad; Mostafa Taha
	4	Space Mapping Technique on Microwave Filter Circuit Model Using Artificial Neural Network for Parameter Extraction Olufemi Oluyemi; Paul Laforge; Abdul Bais	Analysis of Reluctance Synchronous Motor Under Hybrid Fault Condition Fatemeh Ghalavand; Latifa Yusuf; Ilamparithi Thirumarai-Chelvan	A 56 GHz InP VCO for Use in 112 GBaud/s (112 GBit/s NRZ or 224 GBit/s PAM-4) InP Integrated Optical Receiver Front-End CDR Block Shakeeb Abdullah	Virtual Network Embedding for Delay-Sensitive and Trust-Aware Smart Grid Applications Parinaz Rezaeimoghaddam; Irfan S. Al-Anbagi
	5				Mitigation of Denial of Service and Time Delay Attacks on the Automatic Generation Control of Power Systems Anthony Kemmeugne; Mohsen Khalaf; Minh Au; Deepa Kundur
	13:15 - 14:55	Machine Learning V	Communications I	Computer Engineering	Cybersecurity II
	1	Analyzing the Benefits of Data Augmentation for Smart Grid Anomaly Detection and Forecasting Xijuan Sun; Di Wu; Benoit Boulet	A Novel Underwater Packet Flooding Protocol Steven F. T. Porretta; Evangelos Kranakis; Michel Barbeau; Aaron Webstey; Stephane Blouin	A Design Iteration Towards a Multi-Modal Software System for Improving Home Care Experiences in Saskatchewan Tim Maciag; Trevor Douglas; SM Rizwan Islam Rhythm; Ramona Kyabaggu; Cheryl A. Camillo	An RTDS-Based Early-Stage Attack Detection Mechanism for Smart Grid Networks Ali Salehpour; Irfan S. Al-Anbagi
	2	Mitigating Infectious Disease Transmission with Face Mask Detection Using Machine Learning Adewale Soetan; Lei Zhang	Analysis of Experimental Data Fusion Schemes for Underwater Communication over a Hydrophone Array Ahmad Traboulsi; Michel Barbeau; Stephane Blouin	DedupBench: A Benchmarking Tool for Data Chunking Techniques Alan Liu; Abdelrahman Baba; Sreeharsha Udayashankar; Samer Al-Kiswany	Trust-Based Blockchain Mechanism for V2X Networks in a Smart Grid Environment Aditya Pathak; Irfan S. Al-Anbagi; Howard Hamilton
	3	Borer GPR Interpretation During Potash Mining Victor C Okonkwo; Matthew van den Berghe; Craig Funk; Raman Paranjape	A Self-Detection Gradient Descent Approach for Semi-Underground LoRa Communication Networks in Smart Irrigation Systems Chen Kong; Yuan Liu; Hao Liang	Robust Client and Server State Synchronisation Framework for React Applications: React-State-Sync Viral Tagdiwala; Artik Bharoliya; Parth Patel; Dhwanil Shah; Michal Aibin	Evaluating Security of MQTT Protocol in Internet of Things Ayman Al-ani, Sr.; Wong Kang Shen; Ahmed K. Al-Ani; Shamsul Arfeen Laghari; Omar Elejla
	4	Anomaly Detection for IoT Networks: Empirical Study Marwa A. Elsayed; Patrick Russell; Biswajit Nandy; Nabil Seddigh; Nur Zincir-Heywood	iLEACH: An Improved LEACH Algorithm Using Residual Energy and MDC Arun K Mani; Yaser Al Mtawa; Camilo E. Valderrama	Goal-Driven Reusable Test Case Design Ibtesam Bashir Gwasem; Weichang Du; Andrew McAllister	Demystifying Canada's Artificial Intelligence and Data Act (AIDA): The Good, the Bad and the Unclear Elements Aoun E Muhammad; Kin Choong Yow
	15:20 - 17:00	Machine Learning VI	Communications II	Signal Processing	Green Technologies
	1	Statistical and Data Analytics Approaches to Parameter Tuning for Enhancing QoS of E-Banking Transactions: A Case Study of Sample Bank Hooman Razavi; Mohammad Reza Jamali; Morvaridsadat Emsaki; Fatemeh Gholian-Jouybari; Hossein Bonakdari; Mostafa Hajiaghaei-Keshteli	Network Traffic Classification Using Distributed ML-Based Data Parallelization Approach Muhammad Musa K Abid Hussain; Muhammad Jaseemuddin; Rasha Kashef	Development of an Efficient ECG and PPG Signal Processing-Based Spoof Detection System Using Convolutional Neural Networks Fatemeh Sadat Mousavi; Alireza Esmaeilzehi; Dimitrios Hatzinakos	Multi-Timescale Stochastic Electrical and Thermal Energy Management for Sustainable Communities with Wastewater Treatment Plants Siyao Ma; Hao Liang; Myrna Bittner
	2	Classification of Parkinson Disease with Feature Selection Using Genetic Algorithm Mahnoor Iftikhar; Raja Hashim Ali; Nisar Ali; Abdul Bais	Exploring HTTPS Certificate Ecosystem: Analyzing the Entire IPv4 Address Space Sina Keshvadi; Yogesh Sharma	Methods to Increase Capacitance in a Gap-Coupled Coaxial Resonator to Perform Dielectric Characterization Using Reflected Group Delay Gaurav Walia; Paul Laforge	Technology and Economic Analysis of Second-Life Batteries as Stationary Energy Storage: A Review Kaila Neigum; Zhanle Wang
	3	Enhancing Traffic Management with YOLOv5-Based Ambulance Tracking System Ankurbhai Harshadbhai Patel; Sheshang Degadwala; Dhairya Vyas	Trajectory-Based User Tracking and Beam Assignment in a Hallway Using Phased Array Antenna Md Thouhidul Islam Chowdhury; Raman Paranjape	Modelling the Relationship Between the Objective Measures of Car Sickness Oluwaseyi Elizabeth Shodipe; Robert S Allison	Electric Vehicle Charging Station Infrastructure: A Comprehensive Review of Technologies, Challenges, and Mitigation Strategies A k m Yousuf; Zhanle Wang; Raman Paranjape; Yili Tang
	4	Quantifying the Financial Impact of Cyber Security Attacks on Banks: A Big Data Analytics Approach Hooman Razavi; Mohammad Reza Jamali; Morvaridsadat Emsaki; Ali Ahmadi; Mostafa Hajiaghaei-Keshteli			Analysis of Electrochemical Ammonia Production Rate via Smoothing Filters for Solar Energy Storage Miswar A Syed; Osamah Siddiqui; Mehrdad Kazerani; Muhammad Khalid

PANELS AND TUTORIALS

Panels

1. Indigenous Ways of Knowing

“Indigenous Ways of Knowing” encapsulates the rich diversity and complexity of how Indigenous communities learn and teach. It challenges the oversimplification of Indigenous experiences by highlighting the multifaceted knowledge across different Indigenous groups. This term emphasizes that learning isn’t limited to human interactions, but extends to the entire natural world, including plants, animals, and objects often considered lifeless. These ways of knowing are intricate and location-specific, varying among communities. However, they consistently revolve around a profound reverence for the land and the imperative of maintaining a mutually beneficial connection with it.

Panelists: John Desjarlais, Dr. Dennis Michaelson, Dr. Edward Doolittle

Moderator: Leanna M. Bellegarde

2. Socio-Economical Impact Due to Initiatives Towards Green Engineering

Engineering products and services wield significant environmental, social, and economic influence. Understanding their impacts and making design choices that optimize positive outcomes across these spheres is crucial. Engineers play a pivotal role in bolstering sustainability’s three pillars: environment, society, and economy. However, a focus on environmental and economic factors often sidelines social sustainability due to limited comprehension and resources. Amidst the global shift in manufacturing and energy usage, numerous engineering projects are emerging. This presents an opportunity for Canada and other participants to integrate green engineering principles, ensuring balanced and sustainable advancement across all three pillars.

Panelists: Dr. Robert Crawhall, Dr. Maike Luiken, Dr. Richard Boudreault, Dr. Siddharth Pandey

Moderator: Dr. Samantha Sriyananda

Tutorials

1. Time-Series Forecasting with Meta-Learning: Basics and Applications

Time series issues, like forecasting and detection, are prevalent in various fields, impacting industrial system functionality. Accurate handling of these problems is vital; for instance, precise electric load prediction ensures power grid efficiency. Approaches encompass statistical and machine learning methods. Machine learning models, e.g., support vector regression, LSTM, and transformers, excel here. Limited data and evolving distributions challenge these models. Meta learning, or learning to learn, accelerates the process, proving effective in few-shot scenarios. The tutorial’s objectives are to introduce meta learning basics, recent advancements, classic time series problems, industrial applications, real-world case studies, and potential research directions.

Presenters: Dr. Di Wu, Dr. Arnaud Zinflou, Dr. Benoit Boulet

2. Deep Learning for Computer Vision – A Cloud-based GPU Deployment and Testing

Businesses globally harness artificial intelligence (AI) to tackle challenges. Healthcare achieves precise diagnoses, retail offers personalized shopping, and automakers enhance vehicle safety and efficiency. Deep learning, using layered neural networks, excels in object detection, speech recognition, and language translation. This tutorial empowers participants with hands-on computer vision exercises, employing popular deep learning tools on cloud-based GPU workstations. It trains models from scratch, imparts techniques for accuracy, and teaches utilization of pre-trained models for efficiency. A collaboration between NVIDIA Deep Learning Institute and the University of Regina, this tutorial equips attendees to independently create new deep learning applications.

Presenter: Dr. Abdul Bais

3. Generative AI (GenAI) and its impact on Post-Secondary Education

ChatGPT and Generative Artificial Intelligence (GenAI) has taken the world by storm and revolutionized various fields, including computer vision, natural language processing, and creative arts. This tutorial aims to provide participants with a brief understanding of generative AI techniques, their applications, and how it would affect post-secondary education. Whether you are a student, researcher, educator, or professional seeking to explore the fascinating realm of AI creativity, this tutorial will equip you with the knowledge and skills to embark on your generative AI journey.

Presenter: Dr. Kin-Choong Yow

TOURS

On Wednesday, September 27th, we will be offering both full day tours and shorter local tours.

Full Day Tours

Part-Day Local Tours

The part-day local tours will occur in the city and will not have any additional cost. There will be two sessions, one running in the morning and one in the afternoon.

SaskTel’s Telco Cloud Journey and the enablement of 5G

The Telco industry has evolved from the use of custom built hardware appliances to the deployment of cloud native applications on general purpose compute clusters. This evolution has had a significant impact on Telco network architectures and how SaskTel designs, deploys, and operates Telco Networks and Services. This lab tour will demonstrate SaskTel’s journey in establishing Telco Cloud and how it is leveraged to deploy 5G. We will also demonstrate SaskTel’s use of Augmented Reality to visualize complex network deployments on Telco Cloud infrastructure. We hope you can attend to learn about Telco Cloud and why 5G is moving to a cloud based architecture.

There is no cost for this tour. There will be two opportunities to take this tour, once in the morning and once in the afternoon. Participants will walk from the Delta Hotel to the SaskTel 5G Lab in the connected Cornwall Center. The maximum capacity for this tour is 15 participants.

SaskPower Grid Control Centre and Slip Simulator

The one of a kind control centre, located in Regina SK, employs approximately 65-75 people who are in charge of 14,000 kilometres of transmission lines in the province. This facility monitors and predicts the power usage for the province of Saskatchewan and subsequently determines the plan of how the province receives the power it needs.
The SaskPower “slip simulator” offers a unique experience for workers and is used to help individuals learn to walk on ice and slippery surfaces safely. This part of the tour will include a short presentation on the slip simulator and discussion on SaskPower’s experience with the training and the trends noted since implementation. Participants of the tour will be invited to participate in experiencing the slip simulator first-hand, please be aware that time may be limited to participants.

There is no cost for this tour. There will be two opportunities to take this tour, once in the morning and once in the afternoon. Participants will receive transportation departing/returning to the Delta Hotel for the SaskPower Grid Control Center tour. The maximum capacity for this tour is 24 participants. Please take note of the hazard acknowledgment linked here for participants wishing to take part in experiencing the slip simulator.