Abdur Rahman

• Ph.D
• Professor (Associate) at University of Prince Mugrin

Due to the edge learning advancements, we are witnessing a surge in edge intelligent IoT devices. More and more artificially intelligent things (AIT) are now seen as part of different real-life systems. Researchers have proposed that AIT be part of the future 6G architecture in which the AITs need to be connected securely. High-level 6G architectur...

The 6G wireless network is expected to drive cyber-physical systems (CPS) from merely connected things to securely connected intelligence. While 6G will offer real-time communication between cyber and physical entities, due to convergence of operational technology (OT) and information technology (IT) networks, security, and trustworthiness of the m...

Recent advancements of Industrial IoT (IIoT) have revolutionized modern urbanization and smart cities. While IIoT data contains rich events and objects of interest, processing a massive amount of IIoT data and making predictions in real-time is challenging. Recent advancements in AI allow processing such a massive amount of IIoT data and generating...

In order to flatten the curve and lower human-to-human transmission of COVID-19 pathogen, one of the critical suggestions by health professionals is to monitor COVID-19 virus status of each human dynamically which is not a pragmatic solution unless the COVID-19 positive, negative, or symptomatic subjects are identified and have a secure health cert...

Internet of Health Things (IoHT) have allowed connected health paradigm ubiquitous. 5 G supported healthcare vertical allows IoHT to offer connected health monitoring with quality of service and ultra-low latency. Deep learning has shown potential in processing massive amount of IoHT data that are generated daily, automate connected healthcare work...

In this article, we share our experiences in designing and developing a suite of deep neural network–(DNN) based COVID-19 case detection and recognition framework. Existing pathological tests such as RT-PCR-based pathogen RNA detection from nasal swabbing seem to display low detection rates during the early stages of virus contraction. Moreover, th...

Capturing psychological, emotional, and physiological states, especially during a pandemic, and leveraging the captured sensory data within the pandemic management ecosystem is challenging. Recent advancements for the Internet of Medical Things (IoMT) have shown promising results from collecting diversified types of such emotional and physical heal...

Vehicle-to-vehicle communication assists road-side information exchange granting ease of access and sharing between users. The communication between the vehicles is short-lived due to interference and data congestion in the resource constraint medium. This manuscript introduces a linear adaptive congestion control (LACC) augmenting the benefits of...

Medical IoT devices are rapidly becoming part of management ecosystems for pandemics such as COVID-19. Existing research shows that deep learning (DL) algorithms have been successfully used by researchers to identify COVID-19 phenomena from raw data obtained from medical IoT devices. Some examples of IoT technology are radiological media such as CT...

Recent advances in 5G-based disruptive technologies have ushered in a new smart era of interconnected mobility. Hence, smart city planners around the globe are facing the challenges of leveraging these new modalities of future mobility solutions. Some key innovations toward disruptive mobility are the next generation of the Internet of electric veh...

B5G-based tactile edge learning shows promise as a solution to handle infectious diseases such as COVID-19 at a global level. By leveraging edge computing with the 5G RAN, management of epidemic diseases such as COVID-19 can be conducted efficiently. Deploying a hierarchical edge computing architecture offers several benefits such as scalability, l...

The capacity and coverage requirements for 5th generation (5G) and beyond wireless connectivity will be significantly different from the predecessor networks. To meet these requirements, the anticipated deployment cost in the United Kingdom (UK) is predicted to be between £30bn and £50bn, whereas the current annual capital expenditure (CapEX) of th...

Once diagnosed with cancer, a patient goes through a series of diagnosis and tests, which are referred to as “after cancer treatment”. Due to the nature of the treatment and side effects, maintaining quality of life (QoL) in the home environment is a challenging task. Sometimes, a cancer patient’s situation changes abruptly as the functionality of...

The anticipated deployment cost of 5G communication networks in the UK is predicted to be in between {\pounds}30bn- {\pounds}50bn, whereas the current annual capital expenditure of the mobile network operators (MNOs) is {\pounds}2.5bn. This prospect has vastly impacted and has become one of the major delaying factors for building the 5G physical in...

Blockchain's properties in addressing trust in highly decentralized environments can make it an enabler for novel sharing economy services. In this paper, we demonstrate the practicality of blockchain-based Secure IoT as a Service (SIoTaaS), where an IoT device can be rented from a service provider, securely and in a privacy-preserving fashion. Our...

Although ElectroEncephaloGram (EEG) signals allow subjects suffering from neuromuscular disorders to interface their brains with the cyber-physical world, occupational therapy can be enhanced with the introduction of further modalities better assist the disabled person. In this paper, we propose an in-home occupational therapy environment, which le...

In this paper, we propose a Blockchain-based infrastructure to support security- and privacy-oriented spatio-temporal smart contract services for sustainable Internet of Things (IoT)-enabled sharing economy in mega smart cities. The infrastructure leverages cognitive fog nodes at the edge to host and process offloaded geo-tagged multimedia payload...

We propose a cognitive healthcare framework that adopts the Internet of Things (IoT)–cloud technologies. This framework uses smart sensors for communications and deep learning for intelligent decision-making within the smart city perspective. The cognitive and smart framework monitors patients’ state in real time and provides accurate, timely, and...

In this research, we propose virtual caregiver (VCareGiver), a virtual caregiver as a cyber-physical smart home (CPSH) companion to support the daily life activities of elderly people through their gestures. The CPSH will act as a virtual caregiver who will understand the need of an elderly person and be present with him/her ubiquitously at any tim...

Mobile edge computing (MEC) is being introduced and leveraged in many domains, but few studies have addressed MEC for secure in-home therapy management. To this end, this paper presents an in-home therapy management framework, which leverages the IoT nodes and the blockchain-based decentralized MEC paradigm to support low-latency, secure, anonymous...

In this manuscript, we present a novel method, process and system for calculating dyslexic symptoms, generating metric data for an individual user, community or group in general. We present a mobile multimedia Internet of Things (IoT) based environment, which can capture multimodal smartphone or tab-based user interaction data during dyslexia testi...

Crowdsourcing offers great opportunities to recognise user context and prescribe relevant services for both offline and real-time activities. In this work, we present a zoning model that leverages spatio-temporal dimensions and then employs different contexts to recommend necessary customised services. The context model takes into consideration thr...

Online Social Networks (OSNs) have recently been the subject of numerous studies that have attempted to develop effective methods for classifying and analyzing big content. Some of the key contributions of these studies to current scientific understanding include the identification of underlying topics within content (posts and messages), determina...

We propose a fog-cloud hybrid architecture that can support a massive ad hoc crowd composed of a massive social network and distributed IoT nodes around a smart city environment. The fog computing framework is introduced to support energy efficiency by incorporating IoT nodes that act as an interface to the ad hoc crowd, is aware of user contexts w...

Information hiding aims to embed secret data into the multimedia such as image, audio, video, and text. In this study, two new quantum information hiding approaches are put forward. A quantum steganography approach is proposed to hide a quantum secret image into a quantum cover image. The quantum secret image is encrypted first using a controlled-...

Social Internet of Things (SIoT) is assumed to provide health services by incorporating social networks and the internet of things (IoT). Although much development in therapy monitoring has been observed recently, few advancements have been achieved in the domain of in-home therapy. Existing industrial and medical solutions require complex and expe...

The Cyber-Physical System (CPS) is an emerging computing technology that involves in sensing, computing, controlling and communication between physical components (e.g., smart sensors, devices, systems and human beings) and cyber components (e.g., cloud and big data centers). The sensing, controlling and interaction have significant promises toward...

The cloud computing paradigm faces the challenges of providing low latency, high availability, and real-time location-aware services where millions of people are mobile with respect to time and geographic location. In this paper, we propose a mobile edge computing framework that can support real-time, location-aware personalized services to a very...

Rehabilitative therapy is usually very expensive and confined to specialized rehabilitation centers or hospitals, leading to slower recovery times for corresponding patients. Therefore, there is a high demand for the development of technology-based personalized solutions to guide and encourage patients towards performing online rehabilitation progr...

A shortest-path algorithm finds a path containing the minimal cost between two vertices in a graph. A plethora of shortest-path algorithms is studied in the literature that span across multiple disciplines. This paper presents a survey of shortest-path algorithms based on a taxonomy that is introduced in the paper. One dimension of this taxonomy is...

The emerging Cyber-Physical Systems (CPSs) provide a number of services ranging from smart homes to elderly care. With a CPS, a user’s (elderly person’s) interactions with smart home appliances are sensed, collected, and shared in physical spaces. This interaction is then delivered to cyberspaces for processing in order to monitor energy efficiency...

Internet of Things (IoT) sensors is becoming commonplace in people's daily life. Even, many cities have already deployed a very large number of IoT sensors toward the smart city initiative. However, lack of semantics in the presentation of IoT-based sensory data poses the perception complexity by general people. Adding semantics to the IoT sensory...

Recognizing rotational and angular hand movements using a non-invasive way is a challenging task. In this paper, we present a web-based multimedia hand-Therapy framework that can dynamically provide therapy services to a patient having Hemiplegia disability. Using off the shelf 3D motion control sensor called LEAP, the framework can detect, recogni...

This article addresses one of the key challenges of engaging a massive ad hoc crowd by providing sustainable incentives. The incentive model is based on a context-aware cyber-physical spatio-temporal serious game with the help of a mobile crowd sensing mechanism. To this end, this article describes a framework that can create an ad hoc social netwo...

A context aware service generation method and system that stores a list of events, stores one or more dates and times each corresponding to an event, receives user data indicating a state of the user, determines whether a current date and time corresponds with a date and time stored in the memory, determines an event in response to determining that...

This paper provides an overview of a multi-sensory cyber-physical therapy system suitable for old age people with physical impairments, which integrates entities in the physical as well as cyber world for therapy sensing, therapeutic data computation, interaction between cyber and physical world, and in-home therapy support through a cloud-based bi...

A user rehabilitation system and method that includes authenticating a user with authentication information input, determining a therapy identification, providing a display of a therapeutic sequence of exercises wherein the therapeutic sequence of exercises includes a plurality of primitive motions, receiving a data stream from a motion-sensing dev...

A game-based method for physical rehabilitation that includes authenticating a user with authentication information input through a communication interface, identifying therapeutic movements by referencing a look-up table stored in a memory, the therapeutic movements being prescribed for the user or associated with a diagnosis of a predetermined ph...

As human-centered interactive technologies, serious games are getting popularity in a variety of fields such as training simulations, health, national defense, and education. To build the best learning experience when designing a serious game, a system requires the integration of accurate spatio-temporal information. Also, there is an increasing ne...

Smart home shows great potential in providing ubiquitous services within one’s home environment. With the advent of gesture recognition hardware and frameworks, it is now envisioned that most of the household activities that are used on a daily basis, can now be operated using gestures. This will allow people with special to use their natural gestu...

In this demo we will present a suite of smartphone applications that support location-aware, personalized multimedia services to a very large crowd with the help of a cyber computing infrastructure. As a proof of concept, we target Hajj where more than 5 million pilgrims perform spatio-temporal activities. The cyber-physical system creates an ad-ho...

As human-centered interactive technologies, serious games are getting popularity in a variety of fields such as training simulations, health, national defense, and education. To build the best learning experience when designing a serious game, a system requires the integration of accurate spatio-temporal information. Also, there is an increasing ne...

In this paper, we present an e-Therapy framework, named i-Therapy, which collects live therapeutic context by analyzing multi-sensory body joint data in a non-invasive way. Using our proposed framework, a therapist can model complex gestures by mapping them to a set of primitive gesture sequences and generate high-level therapies. As a proof of con...

Many real world complex networks from different domains share a common property that their node connectivity shows a scale-free power law behavior. In such networks, highly connected nodes (Hubs) are widely believed to have special importance in network management. In this paper, we discuss an environment whereby members of a very large crowd gathe...

Recommending an optimized path for a large crowd poses a unique challenge to existing routing algorithms due to the interactions between users and the dynamic changes over road networks. Industries, researchers and end users show an enormous interest in crowdsourced data comprising social networks and user-generated content to remain updated with t...

This paper presents a system that enables efficient and scalable real-time user and vehicle discovery using textual, audio and video mechanisms. The system allows users to group together for shared intra-city transportation with the aid of multimedia that helps individuals to 1) find community of common interest (CoCI), 2) locate individual users i...

Social networks, such as Facebook, Instagram, and Twitter, provide intuitive ways to share a variety of information including geotagged multimedia data within users' communities of interest (COI) or publicly in real-time. Real-time geotagged multimedia data can provide semantics to conventional spatial queries in order to enrich the user navigation...

The intensive use of social media through mobile devices has leveraged the development of digital diary applications that keep track of social events as well as geotagged multimedia content. In a large crowd where users with cultural diversity perform spatio-temporal activities, such geotagged multimedia content facilitates users' navigation throug...

Crowdsourced multimedia data poses several challenges when it is collected, stored, indexed, retrieved, and visualized. Examples of crowdsource multimedia data are social sensors, vehicle sensors, physical sensors, human sensors, etc. Analyzing such multimodal and diversified crowdsourced data provides very rich understanding about the need of indi...

Crowdsourced multimedia data poses several challenges when it is collected, stored, indexed, retrieved, and visualized. Examples of crowd source multimedia data are social sensors, vehicle sensors, physical sensors, human sensors, etc. Analyzing such multimodal and diversified crowdsourced data provides very rich understanding about the need of ind...

Logging on to a system using a conventional keyboard may not be feasible in certain environments, such as, in a surgical operation theatre or in an industrial manufacturing facility. We have developed a multi-sensory gesture based login system that allows a user to access secure information using body gestures. The system can be configured to use d...

This paper presents a system that enables efficient and scalable real-time user and vehicle discovery using textual, audio and video mechanisms. The system allows users to group together for shared intra-city transportation with the aid of multimedia that helps individuals to 1) find community of common interest (CoCI), 2) locate individual users i...

Traditional routing algorithms for calculating the fastest or shortest path become ineffective or difficult to use when both source and destination are dynamic or unknown. To solve the problem, we propose a novel semantic routing system that leverages geo-tagged rich crowdsourced multimedia information such as images, audio, video and text to add s...

Traditional routing algorithms for calculating the fastest or shortest path become ineffective or difficult to use when both source and destination are dynamic or unknown. To solve the problem, we propose a novel semantic routing system that leverages geo-tagged rich crowdsourced multimedia information such as images, audio, video and text to add s...

Traditional routing algorithms for calculating the fastest or shortest path become ineffective or difficult to use when both source and destination are dynamic or unknown. To solve the problem, we propose a novel semantic routing system that leverages geo-tagged rich crowdsourced multimedia information such as images, audio, video and text to add s...

This paper presents a system that enables efficient and scalable real-time user and vehicle discovery using textual, audio and video mechanisms. The system allows users to group together for shared intra-city transportation with the aid of multimedia that helps individuals to 1) find community of common interest (CoCI), 2) locate individual users i...

Aggregating interesting spatio-temporal events of daily life in a diary used to be favorite pastime for many individuals. However, crescive use of social media through portable digital devices is replacing traditional diary writing. Thanks to ubiquity of smartphones, people can now add multiple media types in order to record joyful moments and even...

Logging on to a system using a conventional keyboard may not be feasible in certain environments, such as, in a surgical operation theatre or in an industrial manufacturing facility. We have developed a multi-sensory gesture based login system that allows a user to access secure information using body gestures. The system can be configured to use d...

Traditional routing algorithms for calculating the fastest or shortest path become ineffective or difficult to use when both source and destination are dynamic or unknown. To solve the problem, we propose a novel semantic routing system that leverages geo-tagged rich crowdsourced multimedia information such as images, audio, video and text to add s...

This paper presents a system that enables efficient and scalable real-time user and vehicle discovery using textual, audio and video mechanisms. The system allows users to group together for shared intra-city transportation with the aid of multimedia that helps individuals to 1) find community of common interest (CoCI), 2) locate individual users i...

Aggregating interesting spatio-temporal events of daily life in a diary used to be favorite pastime for many individuals. However, crescive use of social media through portable digital devices is replacing traditional diary writing. Thanks to ubiquity of smartphones, people can now add multiple media types in order to record joyful moments and even...

Due to the low cost and high availability of wearable health sensors and motion tracking devices, home based therapy monitoring has come to a reality. In this paper, we propose a gesture controlled e-therapy online framework that can monitor physical and occupational therapy exercises using multimedia data produced by different sensors such as Kine...

In this paper we present an e-Therapy framework that can dynamically provide therapy services to a patient and therapist. Using off the shelf 3D depth sensing video camera and motion control sensors, the framework can detect, recognize and track 18 different therapeutic movements originated from 7 different joints of a Hemiplegic patient and deduce...

The proliferation of networked home appliances, coupled with the popularity of low cost gesture detection sensors has made it possible to create smart home environments where users can manipulate devices of daily use through gestures. In this paper, we present a multi-sensory environment that allows a disabled person to control actual devices aroun...

We present an e-therapy framework that collects live therapeutic context by analyzing body joint data in a noninvasive way. Using our proposed framework, a therapist can model complex gestures by mapping them to a set of primitive gesture sequences and generate high-level serious game-based therapies. As a proof of concept, we have developed scenar...

Smartphones equipped with varieties of sensors enable them in participatory and opportunistic crowd-sourced sensing. The built-in as well as external sensors paired with modern smartphones provide an ideal multimedia big data source, where a very large crowd can share audio, video, text, SMS, location, etc. In this paper, we will illustrate our pro...

Smartphones equipped with varieties of sensors enable them in participatory and opportunistic crowd-sourced sensing. The built-in as well as external sensors paired with modern smartphones provide an ideal multimedia big data source, where a very large crowd can share audio, video, text, SMS, location, etc. In this paper, we will illustrate our pro...

Mobile crowdsourcing offers great opportunities when considering users' contexts with the aim of recognizing their interests, locations, history, and activities. This paper introduces a mobile data collection scheme that takes into account users' spatio-temporal activities, as well as other contextual dimensions towards the design of quality and co...

Mobile crowdsourcing offers great opportunities when considering users' contexts with the aim of recognizing their interests, locations, history, and activities. This paper introduces a mobile data collection scheme that takes into account users' spatio-temporal activities, as well as other contextual dimensions towards the design of quality and co...

Capturing users' spatio-temporal context by recognizing their interests, locations, history and activities, and thereafter providing context-aware services is a challenging task. In this paper, we propose a spatio-temporal zoning model that takes different context dimensions into account and try to recommend necessary services to users in a persona...

Recommending an optimized path for a large crowd poses a unique challenge to existing routing algorithms due to the interactions between users and the dynamic changes over road networks. Industries, researchers and end users show an enormous interest in crowdsourced data comprising social networks and user-generated content to remain updated with t...

Capturing users' spatio-temporal context by recognizing their interests, locations, history and activities, and thereafter providing context-aware services is a challenging task. In this paper, we propose a spatio-temporal zoning model that takes different context dimensions into account and try to recommend necessary services to users in a persona...

We propose a context aware framework that offers a set of cloud-based services to support a very large Hajj and Umrah crowd by capturing their contexts using smartphones. The proposed framework captures the individual's context, provides a set of adapted services, and allows being in touch with a subset of one's community of interest. We leverage t...

We propose a context aware framework that offers a set of cloud-based services to support a very large Hajj and Umrah crowd by capturing their contexts using smartphones. The proposed framework captures the individual's context, provides a set of adapted services, and allows being in touch with a subset of one's community of interest. We leverage t...

We propose a context aware framework that offers a set of cloud-based services to support a very large Hajj and Umrah crowd by capturing their contexts using smartphones. The proposed framework captures the individual's context, provides a set of adapted services, and allows being in touch with a subset of one's community of interest. We leverage t...

With the advancement of mobile technologies, more and more people are connected to social networks such as Face-book and Twitter. Social networks allow users to share diversity of information including spatio-temporal data either publicly or within their community of interest in real-time. Particularly, by analyzing social network data streams and...

In this paper, we present a novel idea of a map-based therapy environment for people with Hemiplegia. The therapy environment is designed according to the suggestions of therapists, which consists of a spatial map browsing serious game augmented with our novel multi-sensory natural user interface (NUI). The NUI is based on 3D motion sensors that ca...

As human-centered interactive technologies, serious games are getting popularity in a variety of fields such as training simulations, health, national defense, and education. To build the best learning experience when designing a serious game, a system requires the integration of accurate spatio-temporal information. Also, there is an increasing ne...

As human-centered interactive technologies, serious games are getting popularity in a variety of fields such as training simulations, health, national defense, and education. To build the best learning experience when designing a serious game, a system requires the integration of accurate spatio-temporal information. Also, there is an increasing ne...

With the advancement of mobile technologies, more and more people are connected to social networks such as Face-book and Twitter. Social networks allow users to share diversity of information including spatio-temporal data either publicly or within their community of interest in real-time. Particularly, by analyzing social network data streams and...

This paper presents a multimedia e-health framework to conduct therapy sessions by collecting live therapeutic data of patients in a non-invasive way. Using our proposed framework , a therapist can model complex gestures by mapping them to a set of primitive actions and generate high-level therapies. Two inexpensive 3D motion tracking sensors, a Ki...

In this paper, we present a novel non-invasive multimedia therapy retrieval framework to assist therapists in evaluating and managing the progress of Hemiplegic patients using inexpensive off-the-shelf 3D motion sensor. We have developed therapy retrieval analytics to detect, recognize and track key rotational and angular movements of different han...

The use of non-invasive methods for detecting motion of the human body in three dimensions has become very popular in recent years due to commercial availability of economically priced 3D sensors. In this paper, we present a web-based interactive serious game interface that uses noninvasive methods to recognize the movements of the body. Our framew...

Speech is one of the important modalities in a serious game platform. Serious game can be very useful for the rehabilitation of individuals with voice disorders. Therefore, we need an efficient and high-performance automatic speech recognition (ASR) system. In this paper, we propose a spectro-temporal directional derivative (STDD) feature that requ...

Recently, the use of non-invasive ways to track joint motion in the human body has drawn significant attention in the therapy domain. One of the reasons for this popularity is due to availability of economically priced 3D motion sensors. In this paper, we present a web-based 3D interactive serious game interface that uses non-invasive methods to re...

In this paper we propose a multimedia environment that can capture kinematic data from live gestures of a child having Hemiplegia disability and generate live analytical results as part of decision making system of a therapist. The kinematic data is obtained from clinically suggested therapy modules that are used to monitor quality of improvement o...