Hikmat Khan
Rowan University, Electrical and Computer Engineering, Graduate Student
Rotorcrafts are generally subject to a higher fatal accident rate than other segments of aviation, including commercial and general aviation. The safety improvement for rotorcrafts would directly improve the efficiency of air traffic... more
Rotorcrafts are generally subject to a higher fatal accident rate than other segments of aviation, including commercial and general aviation. The safety improvement for rotorcrafts would directly improve the efficiency of air traffic control, since rotorcrafts operate primarily within low-level airspace; an area that is becoming increasingly complex with new entrants, such as unmanned aircraft systems and urban air mobility. The recent impact of artificial intelligence and deep learning algorithms on various aspects of our lives has led to the investigation of the application of these algorithms in the aviation domain; as it may offer a prime opportunity to enhance safety within the aviation community. In this research, we explore the efficacy, reliability, and, more importantly, the explainability of modern deep learning algorithms. We use machine learning models to predict the attitude (pitch and yaw) of rotorcrafts using video data recorded with ordinary cameras. The cameras were...
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Research Interests:
Research Interests:
The ongoing COVID-19 pandemic has already taken millions of lives and damaged economies across the globe. Most COVID-19 deaths and economic losses are reported from densely crowded cities. It is comprehensible that the effective control... more
The ongoing COVID-19 pandemic has already taken millions of lives and damaged economies across the globe. Most COVID-19 deaths and economic losses are reported from densely crowded cities. It is comprehensible that the effective control and prevention of epidemic/pandemic infectious diseases is vital. According to WHO, testing and diagnosis is the best strategy to control pandemics. Scientists worldwide are attempting to develop various innovative and cost-efficient methods to speed up the testing process. This paper comprehensively evaluates the applicability of the recent top ten state-of-the-art Deep Convolutional Neural Networks (CNNs) for automatically detecting COVID-19 infection using chest X-ray images. Moreover, it provides a comparative analysis of these models in terms of accuracy. This study identifies the effective methodologies to control and prevent infectious respiratory diseases. Our trained models have demonstrated outstanding results in classifying the COVID-19 in...
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Brain tumor segmentation plays an important role in clinical diagnosis for neurologists. Different imaging modalities have been used to diagnose and segment brain tumor. Among all modalities, MRI is preferred because of its non-invasive... more
Brain tumor segmentation plays an important role in clinical diagnosis for neurologists. Different imaging modalities have been used to diagnose and segment brain tumor. Among all modalities, MRI is preferred because of its non-invasive nature and better visualization of internal details of the brain. However, MRI also comes with certain challenges like random noise, various intensity levels, and in-homogeneity that makes detection and segmentation a difficult task. Manual segmentation is extremely laborious and time consuming for the physicians. Manual segmentation is also highly dependent on the physician’s domain knowledge and practical experience. Also, the physician may not be able to see details at the pixel level and may only notice the tumor if it is more prominent and obvious. Therefore, there is a need for brain tumor segmentation techniques that play major role in perfect visualization to assist the physician in identifying different tumor regions. In this paper, we prese...
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Research Interests:
Research Interests:
Research Interests:
We propose ‘VDroid’ a lightweight virtualization architecture based on operating system level virtualization technique for a smartphone. We modify Condroid architecture by addition of a system service called KSMManagerService to the host... more
We propose ‘VDroid’ a lightweight virtualization architecture based on operating system level virtualization technique for a smartphone. We modify Condroid architecture by addition of a system service called KSMManagerService to the host android framework and KSM daemon to kernel. We define the workflow, running criteria and detail integration of both KSMManagerService and KSM daemon. The results show improved memory usage when compared with Condroid and Cell.
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As the premier agency for promoting and insuring aviation safety, the Federal Aviation Administration (FAA) continues to promote and highlight the importance of participating in aviation Flight Data Monitoring (FDM) programs to improve... more
As the premier agency for promoting and insuring aviation safety, the Federal Aviation Administration (FAA) continues to promote and highlight the importance of participating in aviation Flight Data Monitoring (FDM) programs to improve flight safety and operational efficiency. Indeed, recorder safety is one of the agency's top 10 most wanted list of safety improvements in 2017-2018. The FAA, National Transportation Safety Board (NTSB), and the United States Helicopter Safety Team (USHST) are strong proponents of recorder use. These organizations and other industry partners are working together toimplementahelicoptersafetyenhancement that promotes the use of flight data recorders as a mechanism to reduce the helicopter fatal accident rate. However, despite these best efforts to reduce the fatal accident rate with this lifesaving technology, barriers to implementation exist. These include initial costs of flight data recorders which can range from 9,000-50,000, on average. These c...