A5057247142- IoT and Edge/Fog Computing
- EEG and Brain-Computer Interfaces
- Brain Tumor Detection and Classification
- Cooperative Communication and Network Coding
- Advanced MIMO Systems Optimization
- COVID-19 diagnosis using AI
- Blockchain Technology Applications and Security
- Artificial Intelligence in Healthcare
- Emotion and Mood Recognition
- Machine Learning in Healthcare
- Network Security and Intrusion Detection
- Advanced Malware Detection Techniques
- Underwater Vehicles and Communication Systems
- AI in cancer detection
- Context-Aware Activity Recognition Systems
- Face recognition and analysis
- Cloud Computing and Resource Management
- Human Pose and Action Recognition
- Anomaly Detection Techniques and Applications
- Video Surveillance and Tracking Methods
- Energy Efficient Wireless Sensor Networks
- Traffic Prediction and Management Techniques
- Advanced Wireless Communication Technologies
- Autism Spectrum Disorder Research
- Transportation and Mobility Innovations
Jahangirnagar University
2016-2025
Universität Innsbruck
2024
Nottingham Trent University
2020-2021
Chittagong University of Engineering & Technology
2021
University of Oxford
2020
Techno India University
2020
Daffodil International University
2018
Anglia Ruskin University
2016
University Hospital Cologne
2015
Technical University of Munich
2000-2013
Rapid advances in hardware-based technologies during the past decades have opened up new possibilities for life scientists to gather multimodal data various application domains, such as omics, bioimaging, medical imaging, and (brain/body)-machine interfaces. These generated novel opportunities development of dedicated data-intensive machine learning techniques. In particular, recent research deep (DL), reinforcement (RL), their combination (deep RL) promise revolutionize future artificial...
Rapid developments in the fields of information and communication technology microelectronics allowed seamless interconnection among various devices letting them to communicate with each other. This technological integration opened up new possibilities many disciplines including healthcare well-being. With aim reducing costs providing improved reliable services, several frameworks based on Internet Healthcare Things (IoHT) have been developed. However, due critical heterogeneous nature data,...
The Internet of Things (IoT) has emerged as a technology capable connecting heterogeneous nodes/objects, such people, devices, infrastructure, and makes our daily lives simpler, safer, fruitful. Being part large network these nodes are typically resource-constrained became the weakest link to cyber attacker. Classical encryption techniques have been employed ensure data security IoT network. However, high-level cannot be in devices due limitation resources. In addition, node is still...
Abstract Novel Coronavirus 2019 disease or COVID-19 is a viral caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The use of chest X-rays (CXRs) has become an important practice to assist in the diagnosis as they can be used detect abnormalities developed infected patients’ lungs. With fast spread disease, many researchers across world are striving several deep learning-based systems identify from such CXR images. To this end, we propose inverted bell-curve-based...
Explainable artificial intelligence is beneficial in converting opaque machine learning models into transparent ones and outlining how each one makes decisions the healthcare industry. To comprehend variables that affect decision-making regarding diabetes prediction can be accounted for by model-agnostic techniques. In this project, we investigate to generate local global explanations a machine-learning model built on logistic regression architecture. We trained 253,680 survey responses from...
Most of strokes will occur due to an unexpected obstruction courses by prompting both the brain and heart. Early awareness for different warning signs stroke can minimize stroke. This research work proposes early prediction diseases using machine learning approaches with occurrence hypertension, body mass index level, heart disease, average glucose smoking status, previous age. Using these high features attributes, ten classifiers have been trained, they are Logistics Regression, Stochastic...
Abstract The coronavirus disease (COVID-19) caused by a novel coronavirus, SARS-CoV-2, has been declared global pandemic. Due to its infection rate and severity, it emerged as one of the major threats current generation. To support combat against disease, this research aims propose machine learning–based pipeline detect COVID-19 using lung computed tomography scan images (CTI). This implemented consists number sub-procedures ranging from segmenting classifying segmented regions. initial part...
The recent expansion of pervasive computing technology has contributed with novel means to pursue human activities in urban space. dynamics unveiled by these generate an enormous amount data. These data are mainly endowed portable and radio-frequency devices, transportation systems, video surveillance, satellites, unmanned aerial vehicles, social networking services. This opened a new avenue opportunities, understand predict detail, plan various real-time services applications response that....
Fall causes trauma or critical injury among the geriatric population which is a second leading accidental cause of post-injury mortality around world. It crucial to keep elderly people under supervision by ensuring proper privacy and comfort. Thus fall detection prediction using wearable/ non-wearable sensors become an active field research. In this work, novel pipeline for based on wearable accelerometer data has been proposed. Three publicly available datasets have used validate our...
Predicting the time, location and magnitude of an earthquake is a challenging job as does not show specific patterns resulting in inaccurate predictions. Techniques based on Artificial Intelligence (AI) are well known for their capability to find hidden data. In case prediction, these models also produce promising outcome. This work systematically explores contributions made date prediction using AI-based techniques. A total 84 scientific research papers, which reported use techniques have...
The first case in Bangladesh of the novel coronavirus disease (COVID-19) was reported on 8 March 2020, with number confirmed cases rapidly rising to over 175,000 by July 2020. In absence effective treatment, an essential tool health policy is modeling and forecasting progress pandemic. We, therefore, developed a cloud-based machine learning short-term model for Bangladesh, which several regression-based models were applied infected data estimate COVID-19-infected people following seven days....
Current developments in nanotechnology make electromagnetic communication possible at the nanoscale for applications involving body sensor networks (BSNs). This specialized branch of wireless networks, drawing attention from diverse fields, such as engineering, medicine, biology, physics, and computer science, has emerged an important research area contributing to medical treatment, social welfare, sports. The concept is based on interaction integrated machines by means communications. One...
The recent outbreak of the novel Coronavirus Disease (COVID-19) has given rise to diverse health issues due its high transmission rate and limited treatment options. Almost whole world, at some point time, was placed in lock-down an attempt stop spread virus, with resulting psychological economic sequela. As countries start ease measures reopen industries, ensuring a healthy workplace for employees become imperative. Thus, this paper presents mobile app-based intelligent portable healthcare...