
Khandaker Foysal HaqueNortheastern University | NEU
Khandaker Foysal Haque
Ph.D. in Computer Engineering
About
21
Publications
7,832
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213
Citations
Citations since 2017
Introduction
I am a graduate researcher in the field of Electrical and Computer Engineering. I have expertise in Wireless Networking, Cyber-Physical Systems, and Embedded Systems. My research interests also include Machine Learning and Deep Learning applications in image recongnition, and Cyber-Physical Systems like time series forcasting. I worked extensively in routing protocols, optimized routing, resource allocation and energy analysis of low power wireless networks.
Additional affiliations
August 2019 - present
Education
August 2019 - May 2021
Publications
Publications (21)
Water covers a greater part of the Earth's surface. However, little knowledge has been achieved regarding the underwater world as most parts of it remain unexplored. Oceans, including other water bodies, hold substantial natural resources and also the aquatic lives. These are mostly undiscovered and unknown due to the unsuited and hazardous underwa...
The industrial development of the last few decades has prompted an increase in the number of vehicles by multiple folds. With the increased number of vehicles on the road, safety has become one of the primary concerns. Inter vehicular communication, specially Vehicle to Everything (V2X) communication can address these pressing issues including auto...
Zigbee is a short-range wireless communication standard that is based on IEEE 802.15.4 and is vastly used in both indoor and outdoor Internet of Things (IoT) applications. One of the basic constraints of Zigbee and similar wireless sensor networks (WSN) standards is limited power source as in most of the cases they are battery powered. Thus, it is...
Zigbee is a short-range wireless communication standard that is based on IEEE 802.15.4 and is vastly used in both indoor and outdoor Internet of Things (IoT) applications. One of the basic constraints of Zigbee and similar Wireless Sensor Networks (WSN) standards is limited power source as in most of the cases they are battery powered. Thus it is v...
p>Deep Learning, especially Convolutional Neural Networks (CNN) have been performing very well for the last decade in medical image classification. CNN has already shown a great prospect in detecting COVID-19 from chest X-ray images. However, due to its three dimensional data, chest CT scan images can provide better understanding of the affected ar...
The recent development of wireless communications has prompted many diversified applications in both industrial and medical sectors. Zigbee is a short-range wireless communication standard that is based on IEEE 802.15.4 and is vastly used in both indoor and outdoor applications. Its performance depends on networking parameters, such as baud rates,...
Neural networks have made big strides in image classification. Convolutional neural networks (CNN) work successfully to run neural networks on direct images. Handwritten character recognition (HCR) is now a very powerful tool to detect traffic signals, translate language, and extract information from documents, etc. Although handwritten character r...
IoT and Machine Learning has improved multi-fold in recent years and they have been playing a great role in healthcare systems which includes detecting, screening and monitoring of the patients. IoT has been successfully detecting different heart diseases, Alzheimer disease, helping autism patients and monitoring patients’ health condition with muc...
LoRaWAN is one of the popular Internet of
Things (IoT) wireless technologies due to its versatility, long
transmission range, and low power communication capabilities.
In LoRaWAN, the data from the source to the destination is
routed through the gateways, increasing the communication
latency. The higher latency being a barrier in real-time
applicat...
Waste collection and management is an integrated part of both city and village life. Lack of optimized and efficient waste collection system vastly affect public health and costs more. The prevailing traditional waste collection system is neither optimized nor efficient. Internet of Things (IoT) has been playing a great role in making human life ea...
Deep Learning has improved multi-fold in recent years and it has been playing a great role in image classification which also includes medical imaging. Convolutional Neural Networks (CNNs) have been performing well in detecting many diseases including coronary artery disease, malaria, Alzheimer's disease, different dental diseases, and Parkinson's...
div>Waste collection and management is an integrated
part of both city and village life. Lack of optimized and efficient waste collection system vastly affect public health and costs more. The prevailing traditional waste collection system is neither optimized nor efficient. Internet of Things (IoT) has been playing a great role in making human li...
div>Waste collection and management is an integrated
part of both city and village life. Lack of optimized and efficient waste collection system vastly affect public health and costs more. The prevailing traditional waste collection system is neither optimized nor efficient. Internet of Things (IoT) has been playing a great role in making human li...
Waste collection and management is an integrated part of both city and village life. Lack of optimized and efficient waste collection system vastly affect public health and costs more. The prevailing traditional waste collection system is neither optimized nor efficient. Internet of Things (IoT) has been playing a great role in making human life ea...
Water covers a greater part of the earth's surface. Even though we know very little about the underwater world as most parts of it remain unexplored. Oceans including other water bodies hold huge natural resources and also the aquatic lives. These are mostly unexplored and very few of those are known due to unsuited and hazardous environments for t...
To meet the increased demand of electricity, PV system is being used as home RES (Renewable Energy Source) throughout the world. In this paper, a grid integrated PV system has been proposed with net metering scheme. A home of 149 sq. meter in Dhaka city is considered whose average daily load is 11.27 kWh/day with an annual peak load of 1.21 kW. Acc...