Fida Hasan

UNSW canberra

Quantum computing is emerging as an unprecedented threat to the current state of widely used cryptographic systems. Cryptographic methods that have been considered secure for decades will likely be broken, with enormous impact on the security of sensitive data and communications in enterprises worldwide. A plan to migrate to quantum-resistant crypt...

Over the past few years, we have experienced great technological advancements in the information and communication field, which has significantly contributed to reshaping the Intelligent Transportation System (ITS) concept. Evolving from the platform of a collection of sensors aiming to collect data, the data exchanged paradigm among vehicles is sh...

Time synchronization is critical for the operation of distributed systems in networked environments. It is also demanded in vehicular ad-hoc networks (VANETs), which, as a special type of wireless networks, are becoming increasingly important for emerging cooperative intelligent transport systems. Global navigation satellite system (GNSS) is a prov...

p>Data from interconnected vehicles may contain sensitive information such as location, driving behavior, personal identifiers, etc. Without adequate safeguards, sharing this data jeopardizes data privacy and system security. The current centralized data-sharing paradigm in these systems raises particular concerns about data privacy. Recognizing th...

p>Data from interconnected vehicles may contain sensitive information such as location, driving behavior, personal identifiers, etc. Without adequate safeguards, sharing this data jeopardizes data privacy and system security. The current centralized data-sharing paradigm in these systems raises particular concerns about data privacy. Recognizing th...

Alzheimer's disease, often known as dementia, is a severe neurodegenerative disorder that causes irreversible memory loss by destroying brain cells. People die because there is no specific treatment for this disease. Alzheimer's is most common among seniors 65 years and older. However, the progress of this disease can be reduced if it can be diagno...

Intelligent transportation and autonomous mobility solutions rely on cooperative awareness developed by exchanging proximity and mobility data among road users. To maintain pervasive awareness on roads, all vehicles and vulnerable road users must be identified, either cooperatively, where road users equipped with wireless capabilities of Vehicle-to...

Brain tumors are among the most fatal and devastating diseases, often resulting in significantly reduced life expectancy. An accurate diagnosis of brain tumors is crucial to devise treatment plans that can extend the lives of affected individuals. Manually identifying and analyzing large volumes of MRI data is both challenging and time-consuming. C...

As a result of quick transformation to digitalization for providing the employees teleworking/home office services with the capabilities to access company resources from outside the company over Internet using remote desktop and virtual private network (VPN) applications and the increase in digital activity during COVID-19 such as the usage of audi...

Deep learning-based models have achieved significant success in detecting cardiac arrhythmia by analyzing ECG signals to categorize patient heartbeats. To improve the performance of such models, we have developed a novel hybrid hierarchical attention-based bidirectional recurrent neural network with dilated CNN (HARDC) method for arrhythmia classif...

Extended Abstract for Talk: In a cyber system, security refers to safeguarding data, privacy refers to safeguarding identity, and trust indicates a reliable relationship between parties. However, cybersecurity is a combination of technological safeguards that ensures a system operates without interruption, completing tasks while minimizing unwanted...

Network intrusion detection systems (NIDSs) play an important role in computer network security. There are several detection mechanisms where anomaly-based automated detection outperforms others significantly. Amid the sophistication and growing number of attacks, dealing with large amounts of data is a recognized issue in the development of anomal...

Cracks in concrete cause initial structural damage to civil infrastructures such as buildings, bridges, and highways, which in turn causes further damage and is thus regarded as a serious safety concern. Early detection of it can assist in preventing further damage and can enable safety in advance by avoiding any possible accident caused while usin...

Cancer is a fatal disease caused by a combination of genetic diseases and a variety of biochemical abnormalities. Lung and colon cancer have emerged as two of the leading causes of death and disability in humans. The histopathological detection of such malignancies is usually the most important component in determining the best course of action. Ea...

Cancer is a fatal disease caused by a combination of genetic diseases and a variety of biochemical abnormalities. Lung and colon cancer have emerged as two of the leading causes of death and disability in humans. The histopathological detection of such malignancies is usually the most important component in determining the best course of action. Ea...

Autism spectrum disorder (ASD) is a neurodevelopmental disorder that severely impairs an individual’s cognitive, linguistic, object recognition, communication, and social abilities. This situation is not treatable, although early detection of ASD can assist to diagnose and take proper steps for mitigating its effect. Using various artificial intell...

The concept of traditional farming is changing rapidly with the introduction of smart technologies like the Internet of Things (IoT). Under the concept of smart agriculture, precision agriculture is gaining popularity to enable Decision Support System (DSS)-based farming management that utilizes widespread IoT sensors and wireless connectivity to e...

Artificial Intelligence (AI) is one of the disruptive technologies that is shaping the future. It has growing applications for data-driven decisions in major smart city solutions, including transportation, education, healthcare, public governance, and power systems. At the same time, it is gaining popularity in protecting critical cyber infrastruct...

Time synchronization utilizing the Global Navigation Satellite System (GNSS) is being increasingly investigated for vehicular networks. Due to GNSS signal blockages, the availability and accuracy of GNSS timing solutions in various road settings is a recognized challenge. With the recent improvement of Multi-GNSS technology and the increased capaci...

The concept of traditional farming is changing rapidly with the introduction of smart technologies like the Internet of Things (IoT). Under the concept of smart agriculture, precision agriculture is gaining popularity to enable Decision Support System (DSS)-based farming management that utilizes widespread IoT sensors and wireless connectivity to e...

Artificial Intelligence (AI) is one of the disruptive technologies that is shaping the future. It has growing applications for data-driven decisions in major smart city solutions, including transportation, education, healthcare, public governance, and power systems. At the same time, it is gaining popularity in protecting critical cyber infrastruct...

The recent advancement of cloud technology offers unparallel strength to support intelligent computations and advanced services to assist with automated decisions to improve road transportation safety and comfort. Besides, the rise of machine intelligence propels the technological evolution of transportation systems one step further and leads to a...

Vulnerable road users (VRUs) such as pedestrians, cyclists and motorcyclists are at the highest risk in the road traffic environment. Globally, over half of road traffic deaths are vulnerable road users. Although substantial efforts are being made to improve VRU safety from engineering solutions to law enforcement, the death toll of VRUs' continues...

Vehicular Networks are one of the enabling technologies for cooperative Intelligent Transportation Systems. For accurate and precise time synchronization in vehicular networks, Global Navigation Satellite System (GNSS) is getting increasing attention for effective use of its time dissemination to vehicular networks. In urban road scenarios, the blo...

The new wave of computing allows users to explore their time in the Internet of Things (IoT) by connecting their smart devices over the network for data transfer without human interventions. While this swing increases the pace in IoT, time synchronization became a demanding feature on IoT devices for real-time applications. In this paper, we descri...

Although cloud computing is now widely used in modern society, it still has shortages to dealing with some problems, such as latency issues, transmission bandwidth, lack of mobility and location awareness. As the result, fog computing has developed as a promising infrastructure to provide elastic resources at the edge of network (Yi, Hao, Qin & LI,...

Since the outbreak of COVID-19, technology evangelists from all around the world are trying to support humanity along with medical practitioner, virologies, epidemiologist and administration etc. One way they are thinking to help peoples to report their symptoms and track the disease. What can be more effective to reach any individual’s life than p...

This presentation talks about the evolution of the Transportation System.

Over the past few years, we have experienced great technological advancements in the information and communication field, which has significantly contributed to reshaping the Intelligent Transportation System (ITS) concept. Evolving from the platform of a collection of sensors aiming to collect data, the data exchanged paradigm among vehicles is sh...

Over the past few years, we have experienced great technological advancements in the information and communication field, which has significantly contributed to reshaping the Intelligent Transportation System (ITS) concept. Evolving from the platform of a collection of sensors aiming to collect data, the data exchanged paradigm among vehicles is sh...

The new wave of computing allows users to explore their time in the Internet of Things (IoT) by connecting their smart devices over the network for data transfer without human interventions. While this swing increases the pace in IoT, time synchronization became a demanding feature on IoT devices for real-time applications. In this paper, we descri...

Time synchronization in communication networks provides a common time frame among all nodes, thus supporting various network functions such as message transmission, channel scheduling and resource sharing in real-time and in correct order. In vehicular ad-hoc networks (VANETs) for connected and automated vehicles, network nodes must be synchronized...

Global Navigation Satellite System (GNSS) is an inexpensive and readily available tool for the high precision timing and positioning data worldwide. It is also widely used technology for the use of synchronization in many applications. In case of Vehicular Ad hoc network (VANET), GNSS enable time synchronization can also be an effective method for...

Mobile communication network experiences dramatic advances and changes over the last two decades. With the growing demand, the development of the design and optimization of radio access technologies and a further evolution of the existing system, the Third Generation Partnership Project (3GPP) had laid down the foundation of the future Long Term Ev...

A satellite based method for the retrieval of earth’s surface reflectance has been presented. The method is applicable to tropical environment. Data from the advanced very high resolution radiometer (AVHRR) sensor carried by National Oceanic and Atmospheric Administration (NOAA) polar orbiter satellite of USA have been used for this study. Using th...

Remote sensing offers an efficient and reliable means of collecting surface parameters required for many applications in crop model, flood monitoring and environment changes. Remote sensors flown on space based vehicles can provide structural information about the health of the vegetation over very large areas on the Earth. The spectral signature o...

Land Surface Temperature (LST) is one of the key environmental forcing parameters. It is an important factor in global change studies, estimating radiation budgets, heat balance studies and as a control for climate models. Many Studies have indicated that the estimation of the land surface temperature using the NOAA satellite images is an alternati...