Sohail Iqbal

National University of Sciences and Technology | NUST · Department of Computing

A method known as "playful learning" is one that makes use of various forms of play to facilitate discovery learning as well as problem-solving. Playful learning may be difficult to implement in an online environment designed to teach subjects related to science, technology, engineering, and mathematics (STEM), particularly at times like the COVID1...

In a world driven by a massive demand for energy, energy forecasting and intelligent decision making are crucial. Load forecasting remains challenging due to the non-linearity, multiple seasonality, varying variance, and random fluctuations in time series data. This thesis explores several statistical methods for short-term load fore- casting using...

Maintaining the records of domestic consumers’ electricity consumption patterns is very complex task for the utilities, especially for extracting the meaningful information to maintain their demand and supply. Due to the increase in population, large amount of valuable data from the domestic sector is extracted by the smart meters and it becomes a...

Internet of things is providing us numerous ways to improve our quality of experience by using smart cyber-physical infrastructure systems. Also, due to arrival of LED lighting systems, there is the possibility to improve user’s visual comfort at less cost. In our proposed model, by using a fuzzy inference system, used in cyber-physical infrastruct...

In developed countries like the USA, Germany, and the UK, the security forces used highly sophisticated equipment, fast vehicles, drones, and helicopters to catch offenders' vehicles. Whereas, in developing countries with limited resources such schemes cannot be utilized due to management cost and other constraints. In this paper, we proposed a fra...

This thesis examines the privacy preserving energy management issue, taking into account both energy generation units and responsive demand in the smart grids. Firstly, because of the inherent stochastic behavior of the distributed energy resources, an optimal energy management problem is studied. Distributed energy resources are used in the decent...

Privacy Aware Energy Management in Smart Communities by Exploiting Blockchain (PhD Synopsis Presentation).

Privacy Aware Energy Management in Smart Communities by Exploiting Blockchain (PhD Thesis Presentation).

In today's smart community, smart grids (SGs) have emerged as a promising solution to the future generation of the power system. In SG, smart meters automatically collect and act on information such as the behavior of consumers and suppliers. The information collected is used to improve the efficiency, reliability and sustainability of the distribu...

Outbreaks can overwhelm fragile health systems that lack the tools, infrastructure, policies, and systems to keep communities healthy and safe. Timely detection, preparedness, and appropriate response are essential for limiting both the loss of human life and social economic disaster due to disease outbreaks. Countries must build effective and sust...

In a research community, data sharing is an essential step to gain maximum knowledge from the prior work. Existing data sharing platforms depend on trusted third party (TTP). Due to involvement of TTP, such systems lack trust, transparency, security and immutability. To over come these issues, this thesis proposed a blockchain based secure data sha...

Underwater Wireless Sensor Networks (UWSNs) are promising and emerging frameworks having a wide range of applications. The underwater sensor deployment is beneficial; however, some factors limit the performance of the network, i.e., less reliability, high end to end delay and maximum energy dissipation. The provisioning of the aforementioned factor...

Energy consumption in residential sector is the 25% of all the sectors. Maintaining user comfort and energy optimization are the major tasks of Home Energy Management System. Appliances of Heating, Ventilation and Air Conditioning (HVAC) and lighting devices constitute up to 64% and 4% of energy consumption respectively in residential buildings. Di...

Energy consumption minimization and user comfort enhancement in Home Energy Management System (HEMS) are the major challenges in a smart grid. In HEMS, appliances of Heating, Ventilation, and Air Conditioning (HVAC) have a large impact on the energy consumption. For user comfort, one needs to take into account different environmental factors among...

The notion of surgical robotics is actively being extended to enable telesurgery, where both the surgeon and patient are remotely located and connected via a public network, which leads to many security risks. Being a safety-critical application, it is highly important to make telesurgery robust and secure against active and passive attacks. In thi...

With the advancement in communication technologies, Internet of vehicles presents a new set of opportunities to efficiently manage transportation problems using vehicle-to-vehicle communication. However, high mobility in vehicular networks causes frequent changes in network topology, which leads to network instability. This frequently results in em...

With the advancement in technology and inception of smart vehicles and smart cities, every vehicle can communicate with the other vehicles either directly or through ad-hoc networks. Therefore, such platforms can be utilized to disseminate time-critical information. However, in an ad-hoc situation, information coverage can be restricted in situatio...

Presently, power systems have the capacities to accommodate different framework for incorporating economic dispatch, transmission, storage, and electricity consumption. This can provide an efficient energy management for controlling, coordinating, planning and operations. This paper focuses on coordinating the behaviors of a typical energy manageme...

Energy consumption in the residential sector is 25% of all the sectors. The advent of smart appliances and intelligent sensors have increased the realization of home energy management systems. Acquiring balance between energy consumption and user comfort is in the spotlight when the performance of the smart home is evaluated. Appliances of heating,...

With the emergence of smart grid (SG), the consumers have the opportunity to integrate renewable energy sources (RESs) and take part in demand side management (DSM). In this paper, we introduce generic home energy management control system (HEMCS) model having energy management control unit (EMCU) to efficiently schedule household load and integrat...

This article presents a cloud-based multi-agent architecture for the intelligent management of aerial robots in a disaster response situation. In a disaster scenario, a team of highly maneuverable quadcopters is deployed to carry out surveillance and decision support in disaster-affected areas. In Pakistan, such events usually result from sudden un...

In this paper, we propose a demand side management (DSM) scheme in the residential area for electricity cost and peak to average ratio (PAR) alleviation with maximum users’ satisfaction. For this purpose, we implement state-of-the-art algorithms: enhanced differential evolution (EDE)and teacher learning-based optimization (TLBO). Furthermore, we pr...

Energy management of residential buildings plays an important role in a smart grid. Region specific fuzzy logic strategies are proposed recently. However, no such approach exists that covers all regions of the world. A fuzzy logic based strategy for the construction of fuzzy controller covering the entire globe would be cost effective due to the in...

In this paper, we design a controller for home energy management based on following meta-heuristic algorithms: teaching learning-based optimization (TLBO), genetic algorithm (GA), firefly algorithm (FA) and optimal stopping rule (OSR) theory. The principal goal of designing this controller is to reduce the energy consumption of residential sectors...

With the rapid advancement in technology, electrical energy consumption is increasing rapidly. Especially, in the residential sector, more than 80% of electrical energy is being consumed because of consumer negligence. This brings the challenging task of maintaining the balance between the demand and supply of electric power. In this paper, we focu...

In this research work, two energy management controllers are proposed: swarm optimization fuzzy mamdani (SOFM) and swarm optimization fuzzy sugeno (SOFS) for the efficient scheduling and controlling of the electric loads in a residential building which is comprised of 10 apartments having the single family setup. Two types of electric loads are con...

The traditional power grid is inadequate to overcome modern day challenges. As the modern era demands the traditional power grid to be more reliable, resilient, and cost-effective, the concept of smart grid evolves and various methods have been developed to overcome these demands which make the smart grid superior over the traditional power grid. O...

The microfinance sector of Pakistan is flourishing since early 2000s and it has grown to an appreciable level. Like many developing economies, foreign funding from developed countries has been the major source of funding for the sector. We investigate the impact of foreign funding on the performance of microfinance sector of Pakistan. The performan...

Due to their numerous advantages, laparoscopic surgical procedures are increasingly becoming common in the operation theatres over the past few decades. Virtual reality training simulators have played a significant role during this transition from traditional to laparoscopic procedures by enhancing surgical skills, such as hand-eye coordination in...

Controlling power utilization in the residential area is one of the major challenges in the smart grid (SG). Demand response (DR) has played a vital role in energy management and improved it with the involvement of residential consumers who participate in such programs from utilities for scheduling their appliances to the off peak hours. In this pa...

Smart grid provides a prodigious opportunity to turn traditional energy infrastructure into a new era of reliability, sustainability, and robustness. The outcome of new infrastructure contributes to technology improvements, environmental health, grid stability, energy-saving programs and the optimal economy as well. The energy crisis and pollutant...

With the emergence of World Wide Web, a good amount of online educational services are introduced. Some of them made profound impact e.g. Coursera, edX, Udacity, and Khan Academy etc., while others went unnoticed. The purpose of this research study is to create a taxonomic classification of the existing online educational services that have emerged...

Robotic surgery offers various advantages over conventional surgery that includes less bleeding, less trauma, and more precise tissue cutting. However, even surgeons who use the best commercially available surgical robotic systems complain about the absence of haptic feedback in such systems. In this paper, we present the findings of our project to...

Continuum robots exhibit great potential in a number of challenging applications where traditional rigid link robots pose certain limitations, e.g.,working in unstructured environments. In order to enable the usage of continuum robots in safety-critical applications, such as surgery and nuclear decontamination, it is extremely important to ensure a...

Weather forecasting provides an important information for general public. Analysis of weather forecasting models, through traditional simulation techniques, are not exhaustive and thus not accurate. Probabilistic model checking, a formal methods technique, as a complementary approach provides an accurate analysis for probabilistic models. In this p...

Feature extraction is the most important and essential part in any image matching algorithm. Features are obtained by quantifying the characteristics of an image like illumination, corner, orientation and view angle etc. Image matching techniques consist of features extraction and their matching with other features. The inherent mathematical steps...

Programmable system on chip (PSoC) is used to control six degree of freedom robotic arm manipulator with haptic or force feedback system. Polar coordinates system is used to cover three dimensional space by robotic arm manipulator. Primarily use of this system is in intelligent industrial manufacturing, gaming industry and most importantly robots a...

This paper proposes an algorithm for generating texture for any image based on the Bezier surfaces and control point polygons in 3D. Such approach forms the basis of Computer Aided Geometric Designs (CAGD) along with other important techniques. Our proposed procedure generates a pattern by performing interpolation techniques using control points on...

Kinematic analysis is used for trajectory planning of robotic manipulators and is an integral step of their design. The main idea behind kinematic analysis is to study the motion of the robot based on the geometrical relationship of the robotic links and their joints. Given the continuous nature of kinematic analysis, traditional computer-based ver...

Surgical simulation is very important field in medical studies. It provides a platform to the surgeons for practicing laparoscopic surgery. While practicing surgery in virtual reality simulators, surgeons do not really know if the organs depict realistic behavior or not. Elastic properties of soft tissues show realistic behavior of organs in simula...

The paper gives a mathematical model for quantitative as well as comparative analysis of the expanding universe. Matlab is used for calculation of data and its representation graphically. We have picked data from the available galaxies datasets and find the present H o value for drawing a comparison to the previous Hubble constant H o values. Calcu...

Robotic manipulator is designed and analyzed at patient end which includes force and current sensors that allows the operator to get force, size and tactile feedback at the surgeon end. Three methods of feedback are used i.e. force sensors for exact force estimation, current sensing for tactile feedback and position estimation to replicate motion....

With the growth of internet people are shifting from their paper based news system to online news system. These online news websites are very useful for the people who have internet access and they can easily read and search their required news through home/office computer or cell phone without wasting their time. To search a particular news, many...

In the early days, the parameters of the fuzzy logic systems were fixed arbitrary, thus leading to a large number of possibilities for FLSs. In 1992, it has been shown that linguistic rules can be converted into Fuzzy Basis Functions (FBFs), and numerical rules and its associated FBFs must be extracted from numerical data training. Since that time,...

For a robust predictability of chaotic systems, which are very sensitive to initial conditions, we propose in this paper a new approach to design a chaotic system forecaster. Our proposed forecaster is based on a Fuzzy Logic System (FLS). We use the generalized orthogonality principle to tune the forecaster parameters. Substaintially improved perfo...

Controlling a continuum robot in a constrained environment constitutes a real challenge due to the nature of this robot and its bending properties. The navigation in un-structured environments, such as surgical operations, presents a potential application of the use of such robots. In this paper, a new formulation of a continuum robot forward kinem...

Improving Fuzzy Logic System (FLS) design is of main interest. Linguistic rules of a FLS can be converted into Fuzzy Basis Functions (FBFs). Moreover, numerical rules and their FBFs can be extracted from numerical training data. This combination of both linguistic and numerical information simultaneously makes the FBFs very useful. Since a specific...

In this paper a new formulation of the inverse dynamic model of the Gough-Stewart platform is proposed. This approach is based on the methodology developped by Khalil. The platform is considered as a multi robot system moving a common load. Using a global formalism, the Jacobian and inertia matrices of each segment are computed in a factorized form...

This paper presents a new approach for the determination of 3 - RPR planar parallel robot assembly modes. In this approach, the parallel robot is considered as a multi robot system. The segments are then regarded as serial robots moving a common load. The proposed approach is based on a parallel robot Jacobian matrix factorization. This factorizati...

In this paper we define prime right ideals of semirings and prove that if every right ideal of a semiring R is prime then R is weakly regular. We also prove that if the set of right ideals of R is totally ordered then every right ideal of R is prime if and only if R is right weakly regular. Moreover in this paper we also define prime subsemimodule...

In this paper, an approach for Jacobian matrix factorization for parallel robots, is presented. The parallel robot is considered as a multi robot system, with k serial robots (the parallel robot segments) moving a commom load (the mobile platform). The proposed approach is based on an extension of global formalism developed by Fijany and applied fo...