Ali Hassan SodhroKristianstad University | HKR · Computer Science
Ali Hassan Sodhro
PhD ||Postdoc|| Erasmus Mundus Fellow ||CAS PIFI Fellow||Associate Editor-IEEE Transaction on ITS|| Associate Editor-IET Electronics Letter||Associate Editor IET Communication||Associate Editor-Telecomm Systems|| Associate Editor-Cluster Computing ||
Senior Lecturer, Kristianstad University, Sweden
About
88
Publications
79,276
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Introduction
I am working as a Senior Lecturer at Department of Computer Science, Kristianstad University, Kristianstad, Sweden. I worked as a visiting Lecturer & Lecturer at Gothenburg University, and Mid Sweden University, Östersand. I was Postdoctoral Research Fellow at Computer and Information Science Department, Linköping University, Sweden. I was the recipient of Erasmus Mundus's Postdoctoral Reseach Fellow award under SMARTLINK Project at DISP LAB, IUT University Lumiere Lyon 2, France.
Additional affiliations
July 2009 - present
Sukkur IBA University
Position
- Assistant Professor since 2009 to date
Description
- I taught undergraduate Courses 1. Signals and Systems 2.Digital Signal Processing 3. Network Security and Cryptography Also I supervised many Undergraduate Thesis/Projects
Education
August 2011 - June 2016
University Chinese Academy of Sciences
Field of study
- Smart and Energy-Efficient Healthcare Systems
January 2008 - June 2010
Publications
Publications (88)
Smart healthcare is altering the delivery of healthcare by combining the benefits of IoT, mobile, and cloud computing. Cloud computing has tremendously helped the health industry connect healthcare facilities, caregivers, and patients for information sharing. The main drivers for implementing effective healthcare systems are low latency and faster...
The rapid technological advancements in the current modern world bring the attention of researchers to fast and real-time healthcare and monitoring systems. Smart healthcare is one of the best choices for this purpose, in which different on-body and off-body sensors and devices monitor and share patient data with healthcare personnel and hospitals...
Artificial Intelligence (AI) is defining the future of next-generation infrastructures as proactive and data-driven systems. AI-empowered radio systems are replacing the existing command and control radio networks due to their intelligence and capabilities to adapt to the radio environmental infrastructures that include intelligent networks, smart...
Software Defect Prediction (SDP) is an integral aspect of the Software Development Life-Cycle (SDLC). As the prevalence of software systems increases and becomes more integrated into our daily lives, so the complexity of these systems increases the risks of widespread defects. With reliance on these systems increasing, the ability to accurately ide...
Combating the COVID-19 pandemic has emerged as one of the most promising issues in global healthcare. Accurate and fast diagnosis of COVID-19 cases is required for the right medical treatment to control this pandemic. Chest radiography imaging techniques are more effective than the reverse-transcription polymerase chain reaction (RT-PCR) method in...
Synchronizing time among pervasive distributed computing nodes is critical and also a key enabler for proper functioning and coordination in an Industry 5.0 environment. It enables distributed data logging, coordination of distributed algorithms, and event driven interactions in a synchronized manner which is not possible without having a common no...
Rapid development and massive use of Information Technology (IT) have since produced a massive amount of electronic data. In tandem, the demand for data outsourcing and the associated data security is increasing exponentially. Small organizations are often finding it expensive to save and process their huge amount of data, and keep the data secure...
The Internet of Medical Things (IoMT) is transforming modern healthcare systems by merging technological, economical, and social opportunities and has recently gained traction in the healthcare domain. The severely contagious respiratory syndrome coronavirus called COVID-19 has emerged as a severe threat to public health. COVID-19 is a highly infec...
The dynamic nature of wireless links and the mobility of devices connected to the Internet of Things (IoT) over fifth-generation (5G) networks (IoT-5G), on the one hand, empowers pervasive healthcare applications. On the other hand, it allows eavesdroppers and other illegitimate actors to access secret information. Due to the poor time efficiency a...
These days, the usage of drone vehicle applications are growing in practice. The drone applications are workflows that access different cloud services to achieve various intended goals. For instance, drone package delivery, surveillance monitoring , product transfer, and security monitoring are performed via drones. However, these applications depe...
We propose a tentative research plan to increase students’ mental health in elementary schools by implementing Internet of Things (IoT) technology. The research plan should answer how to support students’ mental health using IoT solutions and the critical factors influencing testbeds for IoT solutions with the previously mentioned purpose. Our inte...
Healthcare vehicles such as ambulances are the key drivers for digital and pervasive remote care for elderly patients. Thus, Healthcare Vehicular Ad Hoc Network (H-VANET) plays a vital role to empower the digital and Intelligent Transportation System (ITS) for the smart medical world. Quality of Service (QoS) performance of vehicular communication...
Mobile-cloud-based healthcare applications are increasingly growing in practice. For instance, healthcare, transport, and shopping applications are designed on the basis of the mobile cloud. For executing mobile-cloud applications, offloading and scheduling are fundamental mechanisms. However, mobile healthcare workflow applications with these meth...
Secure and reliable sensing plays the key role for cognitive tracking i.e., activity identification and cognitive monitoring of every individual. Over the last years there has been an increasing
interest from both academia and industry in cognitive authentication also known as biometric recognition. These are an effect of individuals’ biological an...
Artificial Intelligence (AI) driven adaptive techniques are viable to optimize the resources in the Internet of Things (IoT) enabled wearable healthcare devices. Due to the miniature size and ability of wireless data transfer, Body Sensor Networks (BSNs) have become the center of attention in current medical media technologies. For a long-term and...
Nowadays, microservices-based applications such as E-Business, E-Healthcare, 3D-Gaming, and Augmented Reality have latterly drawn attention in the research area. The microservices enabled applications are different from traditional monolithic applications with high demand of security and fault detection, therefore, a lightweight secure and failure...
Artificial Intelligence (AI) is the revolutionary paradigm to empower sixth generation (6G) edge computing based e-healthcare for everyone. Thus, this research aims to promote an AI-based cost-effective and efficient healthcare application. The cyber physical system (CPS) is a key player in the internet world where humans and their personal devices...
These days, the Industrial Internet of Healthcare Things (IIT) enabled applications have been growing progressively in practice. These applications are ubiquitous and run onto the different computing nodes for healthcare goals. The applications have these tasks such as online healthcare monitoring, live heartbeat streaming, and blood pressure monit...
Currently, the use of biosensor-enabled mobile healthcare workflow applications in mobile edge-cloud-enabled systems is increasing progressively. These applications are heavyweight and divided between a thin client mobile device and a thick server edge cloud for execution. Application partitioning is a mechanism in which applications are divided ba...
This position paper gives better insight about the role and importance of Internet of Medical Things (IoMT) for independent living and re-learning for older adults. Sensing Technologies are the paradigm shift for transforming conventional healthcare practices into the smart, and self-assisted activities, which are envisioned for today's medical wor...
These days, healthcare applications on the Internet of Medical Things (IoMT) network have been growing to deal with different diseases via different sensors. These healthcare sensors are connecting to the various healthcare fog servers. The hospitals are geographically distributed and offer different services to the patients from any ubiquitous net...
Speech and language relearning are challenging for stroke survivors, as well as medical caregivers. After a stroke, patient's ability to read, write, speak, and listen is decreased to different degrees, which results in a compromised independent life and a decreased quality of life for the patients. Technology-Enhanced Systems (TES) can play a vita...
These days, with the emerging developments in wireless communication technologies, such as 6G and 5G and the Internet of Things (IoT) sensors, the usage of E-Transport applications has been increasing progressively. These applications are E-Bus, E-Taxi, self-autonomous car, E-Train and E-Ambulance, and latency-sensitive workloads executed in the di...
The IEEE 802.11-based Wireless Local Area Network (WLAN) has become a ubiquitous networking technology deployed around the world. IEEE 802.11 WLAN are now widely used for real-time multimedia applications (e.g. voice and video streaming) and distributed emergency services such as telemedicine, healthcare, and disaster recovery. Both time-sensitive...
The growing world population is facing challenges
such as increased chronic diseases and medical expenses.
Integrate the latest modern technology into healthcare system
can diminish these issues. Internet of medical things (IoMT) is
the vision to provide the better healthcare system. The IoMT
comprises of different sensor nodes connected together....
Since the purchase of Siri by Apple, and its release with the iPhone 4S in 2011, virtual assistants (VAs) have grown in number and popularity. The sophisticated natural language processing and speech recognition employed by VAs enables users to interact with them conversationally, almost as they would with another human. To service user voice reque...
The internet of things (IoT) comprises various sensor nodes for monitoring physiological signals, for instance, electrocardiogram (ECG), electroencephalogram (EEG), blood pressure, and temperature, etc., with various emerging technologies such as Wi-Fi, Bluetooth and cellular networks. The IoT for medical healthcare applications forms the internet...
As the Industrial Internet of Things (IIoT) is one of the emerging trends and paradigm shifts to revolutionize the traditional industries with the fourth wave of evolution or transform it into Industry 4.0. This all is merely possible with the sensor-enabled technologies, e.g., wireless sensor networks (WSNs) in various landscapes, where security p...
The growing network density and unprecedented increase in network traffic, caused by the massively expanding number of connected devices and online services, require intelligent network operations. Machine Learning (ML) has been applied in this regard in different types of networks and networking technologies to meet the requirements of future comm...
The paper presents the Verilog coding of Fast Fourier transform implementation on Vivado. The butterfly diagram used to design the Fast Fourier transform of given input signals. The FFT is useful and efficient tool in digital signal processing especially in the area of digital signal and image processing. It has also been used in new technologies l...
Machine learning (ML) techniques in association to emerging sixth generation (6G) technologies i.e., massive internet of things (mIoT), big data analytics have caught too much attention from academia to the business world since last few years due to their high and fast computing capabilities. The role of ML-based 6G techniques is to reshape the ima...
Fifth generation (5G) technologies have become the center of attention in managing and monitoring high-speed transportation system effectively with the intelligent and self-adaptive sensing capabilities. Besides, the boom in portable devices has witnessed a huge breakthrough in the data driven vehicular platform. However, sensor-based Internet of T...
Energy-efficient communication has become the center of attention from various interdisciplinary fields such as industrial automation, healthcare, and transportation, among others. Besides, proliferation in the Artificial Intelligence (AI)-based sixth generation (6G) technology for achieving the smart automation system has caught the attention of b...
The convergence of Artificial Intelligence (AI) and Internet of Things (IoT) promotes the energy efficient communication in smart homes. Quality of Service (QoS) optimization during video streaming through wireless micro medical devices (WMMD) in smart healthcare homes is the main purpose of this research. This paper contributes in four distinct wa...
Software Defined Networking (SDN) is a new technology that makes computer networks farther programmable. SDN is currently attracting significant consideration from both academia and industry. SDN is simplifying organizations to implement applications and assist flexible delivery, offering the capability of scaling network resources in lockstep with...
Wireless Body Sensor Network (BSNs) are wearable sensors with varying sensing, storage, computation, and transmission capabilities. When data is obtained from multiple devices, multi-sensor fusion is desirable to transform potentially erroneous sensor data into high quality fused data. In this work, a data fusion enabled Ensemble approach is propos...
Deep learning (DL) driven cardiac image processing methods manage and monitor the massive medical data collected by the internet of things (IoT) based on wearable devices. A Joint DL and IoT platform are known as Deep-IoMT that extracts the accurate cardiac image data from noisy conventional devices and tools. Besides, smart and dynamic technologic...
Artificial intelligence (AI)-driven fog computing (FC) and its emerging role in vehicular networks is playing a remarkable role in revolutionizing daily human lives. Fog radio access networks are accommodating billions of Internet of Things devices for real-time interactive applications at high reliability. One of the critical challenges in today's...
To minimize and manage the power drain, and extend battery lifetime of wireless body sensor networks (WBSN) is one of the major challenges. There are three key purposes of this survey article, first, to examine the downsides of the classical power-management methods in WBSNs; second, considering the life-critical applications and emergency contexts...
Due to the high mobility, dynamic nature, and legacy vehicular networks, the seamless connectivity and reliability become a new challenge in software-defined internet of vehicles based intelligent transportation systems (ITS). Thus, effieicnt optimization of the link with proper monitoring of the high speed of vehicles in ITS is very vital to promo...
The popularity of new cyber-physical systems(CPS) such as Industrial Internet or Industrial Internet of Things (IIoT) in new applications is creating new requirements such as high security, enhanced scalability, and optimal utilization of network resources, efficient energy management and low operational cost. Specifically, the increasing number of...
The goal of this paper is to develop, deploy, test, and evaluatea a lightweight portable intrusion detection system (LPIDS) over wireless networks by adopting two different string matching algorithms: Aho‐Corasick algorithm and Knuth‐Morris‐Pratt algorithm (KMP). Thus, this research contributes in three ways. First, an efficient and lightweight IDS...
Large volumes of mobility data is collected in various application domains. Enterprise applications are designed on the notion of centralised data control where the proprietary of the data rests with the enterprise and not with the user. This has consequences as evident by the occasional privacy breaches. Trajectory mining is an important data mini...
High mobility in ITS, especially V2V communication networks, allows increasing coverage and quick assistance to users and neighboring networks, but also degrades the performance of the entire system due to fluctuation in the wireless channel. How to obtain better QoS during multimedia transmission in V2V over future generation networks (i.e., edge...
Due to the advancements in multimedia communication in internet of vehicles (IoV) through emerging technologies i.e., WiFi, Bluetooth, and fifth generation (5G) etc. The critical challenge for IoV during multimedia communication in healthcare is the quality of experience (QoE) optimization by managing the mobility of wireless channel between vehicl...
Due to various limitations i.e., computational complexity and more delay in cloud computing is overtaken by edge computing for efficient and fair resource allocation such as, power and battery lifetime in internet of things (IoT) based industrial applications. In the meantime intelligent and accurate resource management by artificial intelligence (...
Cyber-Physical Systems (CPS) are considered as the emerging components for Industry 4.0, the state-of-the art and standard CPS architecture playing the major role in understanding the nature of the industrial landscape. The key problem with traditional CPS architectures is that they are not up-to-mark and convincing to fulfil the needs of smart ind...
This paper proposes novel Rate Control Video Transmission Algorithm (RCVTA) to optimize medical quality of service (m-QoS) in terms of network metrics such as, standard deviation (Std dev), throughput, peak-to-mean ratio (PMR), delay, average delay, jitter and average jitter during transmission of high-definition (HD) video stream named ‘Tracking a...
Emerging revolution in the healthcare has caught the attention of both the industry and academia due to the rapid proliferation in the wearable devices and innovative techniques. In the mean-time, Body Sensor Networks (BSNs) have become the potential candidate in transforming the entire landscape of the medical world. However, large battery lifetim...
Emerging trends in mobile edge computing for developing the efficient healthcare application such as, remote monitoring of the patients with central electronics clouds (e-Clouds) and their increasing voluminous multimedia have caught the attention of everyone in industry and academia. So, clear visualization, big sensing level, and better quality o...
Currently, medical media technologies have become a center of attention due to emerging trends in miniaturized wearable devices from factories to health corner stores everywhere. Due to the power-constrained nature of these portable devices, it is challenging to adopt them during critical medical operations and diagnoses. Maximizing energy efficien...
Rapid proliferation in the medical wearable device market has become the center of attention and changed the every corner of the medical world for the effective and economical information transmission, but because of the tiny size and high power drain more battery charge is consumed, so to remedy that problem this paper proposes ON-OFF Battery Frie...
Abstract. One main concept of Industry 4.0 is Cyber-Physical System (CPS). If some architectures are trustworthy to build the standard CPS platform for the smart industries, they are merely focusing on the vertical integration, horizontal integration and three components (human, cyber and physical components) integration, but lacking to adopt, disc...
Emerging trends in Internet of Medical Things (IoMT) or Medical Internet of Things (MIoT), and miniaturized devices with have entirely changed the landscape of the every corner. Main challenges that heterogeneous sensor-enabled devices are facing during the connectivity and convergence with other domains are, first, the information/knowledge sharin...
Rapid progress and emerging trends in miniaturized medical devices have enabled the unobtrusive monitoring of physiological signals and daily activities of everyone's life in a prominent and pervasive manner. Due to the power-constrained nature of conventional wearable sensor devices during ubiquitous sensing (US), energy-efficiency has become one...
This article presents comparison between data rate or rate control, that is, video transmission rate control algorithm and transmission power control algorithms for two different cases. First, energy consumption due to high peak variable data rates in video transmission. Second, energy depletion due to high transmission power consumption and dynami...
This chapter intends to present the energy-efficient health assessment in wireless body sensor networks (WBSNs). Energy-efficient communication in medical emergency scenarios has a significant impact on the health response delivery in any situation. WBSN is a promising technology having the capability to improve the previous medical monitoring tech...
An emerging breakthrough paradigm shift in health industry and wearable devices, large scale and distributed mobile cloud computing technologies have led to new opportunities for medical healthcare systems. Telemedicine service selection and management of Medical-Quality of Service (m-QoS) in large-scale and distributed medical health system (e.g....
A radical shift and continuous enhancement to safety and effectiveness in medical health, has proved a video transmission as a giant and significant leap during an emergency situation. Nevertheless, the energy hungry video encoding and transmission processes and poor breakthrough in battery performance have become a crucial and critical dilemma for...
Abstract- In this paper, Channel State Estimation is designed
based on Transmission Power Control (CSE-TPC) algorithm for QoE
(Quality of Experience) optimization in terms of modulation level
and duty cycle. CSE-TPC enables the transceiver to adjust the
transmission power level and target the received signal strength
indicator (RSSI) threshold for...