814 citations · 3.3k across the 73 of their papers we have counts for
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Deep Learning-based Cattle Activity Classification Using Joint Time-frequency Data Representation
Seyedeh Faezeh Hosseini Noorbin, Siamak Layeghy, Brano Kusy +3
Automated cattle activity classification allows herders to continuously monitor the health and well-being of livestock, resulting in increased quality and quantity of beef and dair…
Trustworthy Digital Twins in the Industrial Internet of Things with Blockchain
Sabah Suhail, Rasheed Hussain, Raja Jurdak +1
Industrial processes rely on sensory data for critical decision-making processes. Extracting actionable insights from the collected data calls for an infrastructure that can ensure…
Securing Manufacturing Using Blockchain
Zahra Jadidi, Ali Dorri, Raja Jurdak +1
Due to the rise of Industrial Control Systems (ICSs) cyber-attacks in the recent decade, various security frameworks have been designed for anomaly detection. While advanced ICS at…
A Model for Reliable Uplink Transmissions in LoRaWAN
Furqan Hameed Khan, Raja Jurdak, Marius Portmann
Long range wide area networks (LoRaWAN) technology provides a simple solution to enable low-cost services for low power internet-of-things (IoT) networks in various applications. T…
B-FERL: Blockchain based Framework for Securing Smart Vehicles
Chuka Oham, Regio Michelin, Salil S. Kanhere +2
The ubiquity of connecting technologies in smart vehicles and the incremental automation of its functionalities promise significant benefits, including a significant decline in con…
Lightweight Blockchain Framework for Location-aware Peer-to-Peer Energy Trading
Mohsen Khorasany, Ali Dorri, Reza Razzaghi +1
Peer-to-Peer (P2P) energy trading can facilitate integration of a large number of small-scale producers and consumers into energy markets. Decentralized management of these new mar…
Tree-Chain: A Fast Lightweight Consensus Algorithm for IoT Applications
Ali Dorri, Raja Jurdak
Blockchain has received tremendous attention in non-monetary applications including the Internet of Things (IoT) due to its salient features including decentralization, security, a…
Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-corpus Setting for Speech Emotion Recognition
Siddique Latif, Rajib Rana, Sara Khalifa +2
Speech emotion recognition systems (SER) can achieve high accuracy when the training and test data are identically distributed, but this assumption is frequently violated in practi…
Augmenting Generative Adversarial Networks for Speech Emotion Recognition
Siddique Latif, Muhammad Asim, Rajib Rana +3
Generative adversarial networks (GANs) have shown potential in learning emotional attributes and generating new data samples. However, their performance is usually hindered by the…
Aggregating Buildings as Virtual Power Plant: Architecture, Implementation Technologies, and Case Studies
Fengji Luo, Ali Dorri, Gianluca Ranzi +1
The prevalence of distributed generation drives the emergence of the Virtual Power Plant (VPP) paradigm. A VPP aggregates distributed energy resources while operating as a conventi…
Task Scheduling for Simultaneous IoT Sensing and Energy Harvesting: A Survey and Critical Analysis
Muhammad Moid Sandhu, Sara Khalifa, Raja Jurdak +1
The Internet of Things (IoT) has important applications in our daily lives including health and fitness tracking, environmental monitoring and transportation. However, sensor nodes…
Vaccination strategies on dynamic networks with indirect transmission links and limited contact information
Md Shahzamal, Raja Jurdak, Bernard Mans +2
Infectious diseases are still a major global burden for modern society causing 13 million deaths annually. One way to reduce the morbidity and mortality rates from infectious disea…
Identifying highly influential travellers for spreading disease on a public transport system
Ahmad El Shoghri, Jessica Liebig, Raja Jurdak +2
The recent outbreak of a novel coronavirus and its rapid spread underlines the importance of understanding human mobility. Enclosed spaces, such as public transport vehicles (e.g.…
How mobility patterns drive disease spread: A case study using public transit passenger card travel data
Ahmad El Shoghri, Jessica Liebig, Lauren Gardner +2
Outbreaks of infectious diseases present a global threat to human health and are considered a major health-care challenge. One major driver for the rapid spatial spread of diseases…
A Trusted and Privacy-preserving Internet of Mobile Energy
Raja Jurdak, Ali Dorri, Mahinda Vilathgamuwa
The rapid growth in distributed energy sources on power grids leads to increasingly decentralised energy management systems for the prediction of power supply and demand and the dy…
Towards Optimal Kinetic Energy Harvesting for the Batteryless IoT
Muhammad Moid Sandhu, Kai Geissdoerfer, Sara Khalifa +3
Traditional Internet of Things (IoT) sensors rely on batteries that need to be replaced or recharged frequently which impedes their pervasive deployment. A promising alternative is…
Poster Abstract: Towards Scalable and Trustworthy Decentralized Collaborative Intrusion Detection System for IoT
Guntur Dharma Putra, Volkan Dedeoglu, Salil S Kanhere +1
An Intrusion Detection System (IDS) aims to alert users of incoming attacks by deploying a detector that monitors network traffic continuously. As an effort to increase detection c…
Towards Energy Positive Sensing using Kinetic Energy Harvesters
Muhammad Moid Sandhu, Kai Geissdoerfer, Sara Khalifa +3
Conventional systems for motion context detection rely on batteries to provide the energy required for sampling a motion sensor. Batteries, however, have limited capacity and, once…
Energy-aware Demand Selection and Allocation for Real-time IoT Data Trading
Pooja Gupta, Volkan Dedeoglu, Kamran Najeebullah +2
Personal IoT data is a new economic asset that individuals can trade to generate revenue on the emerging data marketplaces. Typically, marketplaces are centralized systems that rai…
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
Siddique Latif, Rajib Rana, Sara Khalifa +3
Research on speech processing has traditionally considered the task of designing hand-engineered acoustic features (feature engineering) as a separate distinct problem from the tas…