• Improving Large Graph Visualization Using a Paging Mechanism 

  Jafarrangchi, Fatemeh (2023-11-15)

  The activity and event network (AEN) model captures the network activities and events using a large random dynamic graph that is continuously maintained and updated as new information and data arrive. The AEN engine leverages ...
• Authentication of Configuration Updates for Remote Field Programmable Gate Arrays with the use of Physical Unclonable Function 

  Salem, Fares (2023-11-14)

  Security has become a significant concern in our lives with the proliferation of connected devices and the emergence of embedded systems where the attack surface is getting wider every day. New security challenges and ...
• Space-Air-Ground FSO Transmission System Design for Reliable and Very-High-Throughput Satellite Communications 

  Zaghloul, Ramy (2023-11-06)

  Recent advances demonstrate satellite communications (SatComs) as a potent enabler for future Terabits/s wireless networks and bridging the digital divide. Existing SatCom systems, however, are mostly dependent on radio ...
• SeniorSentry: Safeguarding AgeTech Devices and Sensors Using Contextual Anomaly Detection and Supervised Machine Learning 

  Nandikotkur, Achyuth (2023-11-01)

  With the ever-growing reliance on IoT-enabled sensors to age in place, a need arises to protect them from malicious activities by detecting attacks or other anomalies. In this work, we first confirm the presence of ...
• Optimizing the Movement Path in a Network of Ground and Aerial Mobile Robots in the Field of Communications and Transportation 

  Doostniae, Reza (2023-10-12)

  In digital systems and industries related to the IoT, especially in mechatronic systems and communication industries, as well as land and air transportation, motion sensors and routing systems play a crucial and indispensable ...
• Efficient Federated Learning over Heterogeneous Machines 

  Zhao, Lei (2023-08-31)

  Decentralized data scattered among large number of different machines, therefore, there are two major challenges in large-scale machine learning, i.e., vast amount of data transmission over the communication network causing ...
• Novel Adaptive Transmission for Effective URLLC Support in 5G and Beyond Wireless Systems: Reinforcement Learning based Designs 

  Saatchi, Negin Sadat (2023-08-31)

  The Industrial Internet of Things (IIoT) has transformed industrial processes by connecting devices and enabling real-time data exchange. However, the increasing demands of future IIoT applications necessitate a trustworthy, ...
• Supervised and Unsupervised Deep Learning Methods for Underwater Image Enhancement 

  Rico Espinosa, Alejandro (2023-08-31)

  Large amounts of underwater imagery are constantly collected for environmental monitoring studies, as they are essential for estimating marine biodiversity and abundance. However, this collected data has variable quality ...
• Improving surface plasmon resonance sensor and nanoaperture optical tweezers for biomolecule analysis 

  Babaei, Elham (2023-08-30)

  This thesis explores innovative approaches to improve sensitivity of surface plasmon resonance (SPR) sensors and nanoaperture optical tweezers (NOT) technique for biomolecule analysis. A significant enhancement in the ...
• Local Descriptor Image Matching Acceleration and its Hardware Implementation 

  Soleimani, Parastoo (2023-08-30)

  Computer vision algorithms have been used in an increasing number of applications during the past decades. One of the foremost challenges for using computer vision algorithms in practical applications is computational ...
• Assessing the Effectiveness of Snort in Detecting Malicious URLs 

  Zuva, Simbarashe (2023-08-29)

  Web attacks have been on the rise in recent years, and organisations are constantly searching for new and better ways to detect and block the corresponding attack vectors. Some of the prominent attributes of web attack ...
• Addressing Data Limitations in Defect Detection: A Case Study of Inspection in Automated Fiber Placement 

  Ghamisi, Assef (2023-08-25)

  This thesis introduces novel automated visual defect detection approaches that effectively address the challenges of data scarcity and imbalance. In the manufacturing industry, conventional defect detection systems rely ...
• Design and Implementation of a new Visualization Aided Anomaly Detection Framework 

  Farag, Ahmed (2023-08-21)

  In today's data-driven world, the identification of unusual patterns or anomalies in data sets has become increasingly vital, especially in the realm of security data where the detection of these atypical patterns can ...
• A Long-Range Transmission Network for Animal Sighting in the Wilderness 

  Zhang, Yan (2023-08-16)

  When wild animals are monitored in the vast wilderness of Canada, data transmission is considerably challenging due to the lack of effective network service provided by telecom operators or carriers, especially in sparsely ...
• Stock Market Prediction using LSTM and Markov Chain Models: A Case Study of Royal Bank of Canada Stock 

  Kumar, Amer (2023-08-09)

  Stock price prediction is one of the most important aspects of financial investment. This research aims to provide insights into the dynamics of stock prices, enabling more informed decision-making in financial investments ...
• Stock Price Prediction Using Natural Language Processing and Machine Learning 

  Amer, Ahmed (2023-08-09)

  Predicting the stock market is an infamous problem that many people have tried to solve. Can real time textual data in the form of tweets be used to predict stock movements? In this project, the use of different natural ...
• Optimizing Demand Response in Deregulated Electricity Markets: A Customer-Centric Game Theory Approach 

  Goudarzi, Arman (2023-08-01)

  In the era of IoT-enabled smart grid technologies and the ever-increasing integration of renewable energy sources, the need for efficient and customer-oriented demand response programs is becoming crucial for the stability ...
• Maximizing Energy Efficiency in Energy Management System using Optimization Algorithm in Microgrids 

  Shah, Sarthak Umeshkumar (2023-07-04)

  Due to technological advancements, population growth, and urbanization, the demand for electricity is increasing day by day. Meeting the global electricity demand is a challenge considering its socio-economic and environmental ...
• Deep Learning-Based Automatic Modulation Classification for Telecommunication Systems 

  Sanatimehrizi, Sara (2023-05-31)

  Modulation schemes play a crucial role in various communication systems, as they enable the transmission of information through electromagnetic signals. Accurately identifying the modulation scheme employed in a signal is ...
• Performance of OFDM and DFT-s-OFDM in the THz-Band Communications Channels 

  Khorram, Erfan (2023-05-18)

  The terahertz (THz) band is a promising frequency band that ranges from 300 GHz to 10 THz and being considered for the next generation of wireless networks due to the large available bandwidth and achievable ultra fast ...

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