Sheraz Aslam

Sheraz Aslam
Cyprus University of Technology · Department of Electrical Engineering, Computer Engineering and Informatics

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Research Scientist, Member (IEEE), Looking for potential collaborators

About

75
Publications
28,374
Reads
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911
Citations
Introduction
SHERAZ ASLAM (Member, IEEE) received the B.S. and M.S. degrees in computer science from BZU, Multan, and COMSATS University Islamabad, Pakistan, in 2015 and 2018, respectively. He is working as a Research Scientist at DICL Research Laboratory, Cyprus University of Technology (CUT), Limassol, Cyprus, where he is also a part of an EU-funded research project named as STEAM. He also worked as a Research Associate at COMSATS University during 2016-18. He has authored around 50 research publications.

Publications

Publications (75)
Article
Non-technical losses (NTLs) are one of the major causes of revenue losses for electric utilities. In the literature, various machine learning (ML)/deep learning (DL) approaches are employed to detect NTLs. The existing studies are mostly concerned with tuning the hyperparameters of ML/DL methods for efficient detection of NTL, i.e., electricity the...
Article
Full-text available
Berth allocation is one of the most important optimization problems in container terminals at ports worldwide. From both the port operator's and the shipping lines' point of view, minimizing the time a vessel spends at berth and minimizing the total cost of berth operations are considered fundamental objectives with respect to terminal operations....
Article
Full-text available
The number of microgrids within a smart distribution grid can be raised in the future. Microgrid-based distribution network reconfiguration is analyzed in this research by taking demand response programs and power-sharing into account to optimize costs and reduce power losses. The suggested method determined the ideal distribution network configura...
Article
Full-text available
Electricity theft is one of the challenging problems in smart grids. The power utilities around the globe face huge economic loss due to ET. The traditional electricity theft detection (ETD) models confront several challenges, such as highly imbalance distribution of electricity consumption data, curse of dimensionality and inevitable effects of no...
Article
Full-text available
The enhancement of Robustness (R) has gained significant importance in Scale-Free Networks (SFNs) over the past few years. SFNs are resilient to Random Attacks (RAs). However, these networks are prone to Malicious Attacks (MAs). This study aims to construct a robust network against MAs. An Intelligent Rewiring (INTR) mechanism is proposed to optimi...
Conference Paper
Full-text available
Proper utilization of port resources and efficient berth planning play a crucial role in minimizing port congestion and overall handling costs. Therefore, this study focuses on efficient berth planning in maritime container terminals composed of multiple quays. In particular, this study addresses the Multi-Quay Berth Allocation Problem (MQ-BAP), wh...
Article
Full-text available
Substantial information related to human cerebral conditions can be decoded through various noninvasive evaluating techniques like fMRI. Exploration of the neuronal activity of the human brain can divulge the thoughts of a person like what the subject is perceiving, thinking, or visualizing. Furthermore, deep learning techniques can be used to deco...
Article
Full-text available
Abstract]{Renewable Energy Resources (RERs) motivate electricity users to reduce their energy bills by taking benefit of self-generated green energy. Different studies have already pointed out that because of the absence of proper technical support and awareness, the energy users were not able to sufficiently take paybacks from the RERs. However, w...
Article
Full-text available
Road safety, optimized traffic management, and passenger comfort have always been the primary goals of the vehicle networking research community. Advances in computer and communication technology have made the dream of modern intelligent vehicles a reality through the use of smart sensors, cameras, networking devices, and storage capabilities. Auto...
Article
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The interconnection of renewable energy systems, which are complex nonlinear systems, often results in power fluctuations in the interconnection line and high system frequency due to insufficient damping in extreme and dynamic loading situations. To solve this problem, load frequency control ensures nominal operating frequency and orderly fluctuati...
Article
Full-text available
In this paper, a heuristic scheme based on the hybridization of Bernstein Polynomials (BPs) and nature-inspired optimization techniques is presented to achieve the numerical solution of Nonlinear Optimal Control Problems (NOCPs) efficiently. The solution of NOCP is approximated by the linear combination of BPs with unknown coefficients. The unknown...
Article
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A smart city model views the city as a complex adaptive system consisting of services, resources, and citizens that learn through interaction and change in both the spatial and temporal domains. The characteristics of dynamic evolution and complexity are key issues for megacity planners and require a new systematic and modeling approach. Multiscale...
Article
Full-text available
Automatic Generation Control (AGC) delivers a high quality electrical energy to energy consumers using efficient and intelligent control systems ensuring nominal operating frequency and organized tie-line power deviation. Subsequently, for the AGC analysis of a two-area interconnected hydro-gas-thermal-wind generating unit, a novel Fractional Order...
Article
Full-text available
The slower than expected adoption rate of blockchain technology has highlighted that there are barriers due to the diversity of its applications and its users. To overcome this limitation and take full advantage of the novel technology, researchers from academia as well as industry are dedicated to find different solutions, where two blockchains ca...
Article
Full-text available
The optimal planning of grid-connected microgrids (MGs) has been extensively studied in recent years. While most of the previous studies have used fixed or time-of-use (TOU) prices for the optimal sizing of MGs, this work introduces real-time pricing (RTP) for implementing a demand response (DR) program according to the national grid prices of Iran...
Preprint
Full-text available
The slower than expected adoption rate of blockchain technology has highlighted thatthere are barriers due to the diversity of its applications and its users. To overcome this limitationand take full advantage of the novel technology, researchers from academia as well as industryare dedicated to find different solutions, where two blockchains can i...
Article
Full-text available
Day-ahead electricity price forecasting plays a critical role in balancing energy consumption and generation, optimizing the decisions of electricity market participants, formulating energy trading strategies, and dispatching independent system operators. Despite the fact that much research on price forecasting has been published in recent years, i...
Preprint
Full-text available
Megacities are complex systems facing the challenges of overpopulation, poor urban design and planning, poor mobility and public transport, poor governance, climate change issues, poor sewerage and water infrastructure, waste and health issues, and unemployment. Smart cities have emerged to address these challenges by making the best use of space a...
Conference Paper
Full-text available
Over the last couple of decades, demand for seaborne containerized trade has increased significantly and it is expected to continue growing over the coming years. As an important node in the maritime industry, a maritime container terminal (MCT) should be able to tackle the growing demand for sea trade. Due to the increased number of ships that can...
Article
Full-text available
Automatic generation control (AGC) is primarily responsible for ensuring the smooth and efficient operation of an electric power system. The main goal of AGC is to keep the operating frequency under prescribed limits and maintain the interchange power at the intended level. Therefore , an AGC system must be supplemented with modern and intelligent...
Article
Full-text available
Computer-Aided diagnosis (CAD) is a widely used technique to detect and diagnose diseases like tumors, cancers, edemas, etc. Several critical retinal diseases like diabetic retinopathy (DR), hypertensive retinopathy (HR), Macular degeneration, retinitis pigmentosa (RP) are mainly analyzed based on the observation of fundus images. The raw fundus im...
Article
Full-text available
Microgrids have recently emerged as a building block for smart grids combining distributed renewable energy sources (RESs), energy storage devices, and load management methodologies. The intermittent nature of RESs brings several challenges to the smart microgrids, such as reliability, power quality, and balance between supply and demand. Thus, for...
Article
Full-text available
Based on energy demand, consumers can be broadly categorized into low energy consumers (LECs) and high energy consumers (HECs). HECs use heavy load appliances, e.g., electric heaters and air conditioners, and LECs do not use heavy load appliances. Thus, HECs demand more energy compared to LECs. The usage of high energy consumption appliances by HEC...
Research Proposal
Full-text available
IoT devices are found in various parts of the smart grid, such as smart appliances, smart meters, and substations. These IoT devices generate petabytes of data, which are known to be one of the most scalable properties of a smart grid. Without smart grid analytics, it is difficult to make efficient use of data and to make sustainable decisions rela...
Chapter
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Maritime stakeholders are continuously collecting large volumes of heterogeneous spatiotemporal data from various sources, for example, sensor data, AIS data, traffic data, port call data, and environmental monitoring data. The maritime data value chain defines the series of the four key activities needed to appropriately manage this data, namely d...
Conference Paper
Full-text available
During the past few years, use of e-commerce has grown to a large scale. Due to which, the use of credit card has also been increased. Many people now use credit cards for online shopping, e-billing, and other online payments. This frequent use of credit cards is pushing the organizations and banks to implement credit card fraud detection systems t...
Article
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Cloud computing is the de facto platform for deploying resource- and data-intensive real-time applications due to the collaboration of large scale resources operating in cross-administrative domains. For example, real-time systems are generated by smart devices (e.g., sensors in smart homes that monitor surroundings in real-time, security cameras t...
Article
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Among several approaches to privacy-preserving cryptographic schemes, we have concentrated on noise-free homomorphic encryption. It is a symmetric key encryption that supports homomorphic operations on encrypted data. We present a fully homomorphic encryption (FHE) scheme based on sedenion algebra over finite Zn rings. The innovation of the scheme...
Presentation
Full-text available
Wireless Sensor Networks (WSNs) provide noteworthy advantages over conventional methods for various real-time applications, i.e., healthcare, temperature sensing, smart homes, homeland security, and environmental monitoring. However, limited resources, short life-time network constraints, and security vulnerabilities are the challenging issues in t...
Article
Full-text available
Conventional RSA algorithm, being a basis for several proposed cryptosystems, has remarkable security laps with respect to confidentiality and integrity over the internet which can be compromised by state-of-the-art attacks, especially, for different types of data generation, transmission, and analysis by IoT applications. This security threat hind...
Article
Full-text available
Conventional RSA algorithm, being a basis for several proposed cryptosystems, has remarkable security laps with respect to confidentiality and integrity over the internet which can be compromised by state-of-the-art attacks, especially, for different types of data generation, transmission, and analysis by IoT applications. This security threat hind...
Article
Full-text available
The recent emergence of Internet of Things (IoT) technologies in mission-critical applications in the maritime industry has led to the introduction of the Internet of Ships (IoS) paradigm. IoS is a novel application domain of IoT that refers to the network of smart interconnected maritime objects, which can be any physical device or infrastructure...
Conference Paper
Full-text available
Wireless Sensor Networks (WSNs) provide noteworthy advantages over conventional methods for various real-time applications, i.e., healthcare, temperature sensing, smart homes, homeland security, and environmental monitoring. However, limited resources, short lifetime network constraints, and security vulnerabilities are the challenging issues in th...
Conference Paper
Full-text available
The 5th generation (5G) of communication networks will facilitate innovative and emerging services and applications with lower latency requirements, increased energy efficiency and reliability. These characteristics of 5G make it capable to act as a potential underlying network for smart city services such as for implementation of demand response i...
Conference Paper
Full-text available
This study investigates the energy cost and carbon emission reduction problem in geographically distributed cloud data centers (DCs), where each DC is connected with its own renewable energy resources (RERs) for green energy generation. We consider four cloud DCs that are operated by a single cloud service provider. They consume energy from both RE...
Conference Paper
Full-text available
Number of networks and their sizes in terms of connected devices are increasing very rapidly. These devices are producing massive amount of raw data for different progressive purposes that need to be processed and stored somewhere. Local data storage and complete processing of massive data will not be possible by resource constrained Internet of Th...
Article
Full-text available
This study proposes an efficient energy management method to systematically manage the energy consumption in the residential area to alleviate the peak to average ratio and mitigate electricity cost along with user comfort maximiza-tion. We developed an efficient energy management scheme using mixed integer linear programming (MILP), which schedule...
Article
Full-text available
The emergence of the smart grid has empowered the consumers to manage the home energy in an efficient and effective manner. In this regard, home energy management (HEM) is a challenging task that requires efficient scheduling of smart appliances to optimize energy consumption. In this paper, we proposed a meta-heuristic based HEM system (HEMS) by i...
Conference Paper
Full-text available
In the last few years, carbon emissions and energy demand have increased dramatically around the globe due to a surge in population and energy-consuming devices. The integration of renewable energy resources (RERs) in a power supply system provides an efficient solution in terms of low energy cost with lower carbon emissions. However, renewable sou...
Conference Paper
Full-text available
The Renewable Energy Resources (RERs) are advantageous in decreasing the carbon emission and energy bill of the users by empowering them to produce their own green energy. However, energy users are not able to sufficiently take paybacks from the RERs without advanced technologies. With the advent of Smart Grids, the potential benefits of RERs and d...
Chapter
Full-text available
In this work, we propose a DSM scheme for electricity expenses and peak to average ratio (PAR) reduction using two well-known heuristic approaches: the cuckoo search algorithm (CSA) and strawberry algorithm (SA). In our proposed scheme, a smart home decides to buy or sell electricity from/to the commercial grid for minimizing electricity costs and...
Article
Full-text available
An unprecedented opportunity is presented by smart grid technologies to shift the energy industry into the new era of availability, reliability and efficiency that will contribute to our economic and environmental health. Renewable energy sources play a significant role in making environments greener and generating electricity at a cheaper cost. Th...
Article
The integration of information and communication 1 technologies in traditional grid brings about a smart grid. 2 Energy management plays a vital role in maintaining the 3 sustainability and reliability of a smart grid which in turn helps 4 to prevent blackouts. Energy management at consumers side 5 is a complex task, it requires efficient schedulin...
Conference Paper
Full-text available
In this paper, performance of energy management controller (EMC) based on meta-heuristic algorithms: Harmony Search Algorithm (HSA) and Firefly Algorithm (FA) are evaluated. Critical peak pricing (CPP) scheme is implemented to calculate the electricity cost. Appliances are categorized into three groups on the basis of power consumption. Electricity...
Conference Paper
Full-text available
Many techniques have been proposed to manage the demand and supply of electricity. However, due to rapid increase in population, electricity demand becomes a serious issue. In this paper, we evaluated the performance of Home Energy Management System (HEMS) on the basis of two optimizing techniques: Elephant Herding Optimization (EHO) and Harmony Se...
Conference Paper
Full-text available
Energy management controller (EMC) is widely adopted for residential load management in smart grid (SG). Its main focus is on minimizing cost with minimal consumer interaction. EMC effectiveness is improved in the context of demand response (DR) program. In the era of demand side management (DSM) EMC plays a significant role in residential energy m...
Thesis
Full-text available
Demand response (DR) strategy provides an opportunity to electricity consumers to participate in making power system reliable by managing their electricity consumption. Due to increasing population, a lot of energy is consumed in the residential sector. Therefore, in this thesis, we propose an optimal scheme to systematically manage the energy cons...
Presentation
Full-text available
MS Thesis
Conference Paper
Full-text available
In this paper, we propose a home energy management (HEM) scheme in the residential area for electricity cost and peak to average ratio (PAR) reduction. Furthermore, reduction in imported electricity from the external grid is also the objective of this study. Our proposed scheme schedules smart appliances as well as electrical vehicles (EVs) chargin...
Conference Paper
Full-text available
In this work, we propose a DSM scheme for electricity expenses and peak to average ratio (PAR) reduction using two well-known heuristic approaches: the cuckoo search algorithm (CSA) and strawberry algorithm (SA). In our proposed scheme, a smart home decides to buy or sell electricity from/to the commercial grid for minimizing electricity costs and...
Conference Paper
In this work, we propose a DSM scheme for electricity expenses and peak to average ratio (PAR) reduction using two well-known heuristic approaches: the cuckoo search algorithm (CSA) and strawberry algorithm (SA). In our proposed scheme, a smart home decides to buy or sell electricity from/to the commercial grid for minimizing electricity costs and...
Article
Full-text available
Microgrid is a community-based power generation and distribution system that interconnects smart homes with renewable energy sources (RESs). Microgrid efficiently and economically generates power for electricity consumers and operates in both islanded and grid-connected modes. In this study, we proposed optimization schemes for reducing electricity...