- Professor at College of Computer Sciences and Engineering, KFUPM, And Director at Center for Communications and IT Research.edit
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Research Interests: Computer Science, Computational Modeling, Evolutionary Computation, Fuzzy Logic, Genetic Algorithms, and 10 moreSimulated Annealing, VLSI, Very Large Scale Integration, Randomness, Multi objective optimization, Mathematical Optimization, Multiple Objectives, Simulated Evolution, Cost Function, and Computer
Research Interests: Mathematics, Computer Science, Electromagnetic Compatibility, Circuits and Systems, Mobile Communication, and 14 moreAlgorithm, Frequency-domain analysis, Graph Coloring, FREQUENCY ASSIGNMENT, Assignment Problem, Boolean Satisfiability, Electrical Circuits and Systems, Computer, Constructive, Graph Coloring Problem, Channel assignment, Benchmark Testing, Frequency spectrum, and Channel Allocation
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Research Interests: Engineering, Computer Science, Fuzzy Logic, Genetic Algorithms, Iterative Methods, and 14 moreVLSI, Fuzzy Sets, Algorithm, Genetic Algorithm, Stochastic processes, Computer Design, Very Large Scale Integration, Low Power, Capacitance, Simulated Evolution, Cost Function, Computer, Power Dissipation, and Iterative Algorithm
Research Interests: Mathematics, Approximation Theory, Computer Science, Artificial Intelligence, Heuristics, and 15 moreEvolutionary Computation, Fuzzy Logic, Iterative Methods, Neural Networks, Numerical Analysis, Genetic Algorithm, Fuzzy Control, Optimization, Efficient Algorithm for ECG Coding, Low Power, Low Power Electronics, Mathematical Optimization, High performance, Computer, and Ordered Weighted Average
Research Interests: Computer Science, Evolutionary Computation, Genetic Algorithms, Neural Networks, Algorithm, and 15 moreGenetic Algorithm, Genetic Engineering, Optimization Problem, IEEE, Evolutionary Algorithm, Sequential Circuits, Hybrid Approach, Heuristic, Sequential Analysis, Test Generation, Computer, Central Processing Unit, Sequential Logic Circuits, Automatic test pattern generation (ATPG), and Fault Coverage
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Research Interests: Computer Science, Computational Modeling, Evolutionary Computation, Fuzzy Logic, VLSI, and 12 moreCircuits and Systems, Algorithm, Optimization, Optimization Problem, Very Large Scale Integration, Circuit Design, Simulated Evolution, Fuzzy Rules, Cost Function, Computer, Power Dissipation, and Integrated Circuit Design
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Research Interests: Applied Mathematics, Computer Science, Parallel Algorithms, Parallel Computing, Heuristics, and 15 moreComputational Modeling, Evolutionary Computation, Mathematical Modelling, Genetic Algorithm, Cluster Computing, Optimization Problem, Optimization Problems, Metaheuristic, Circuits, Parallel Algorithm, Network Routing, Evolution Strategy, Cost Function, Computer, and Concurrent Computing
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Research Interests: Engineering, Mathematics, Computer Science, Combinatorial Optimization, Heuristics, and 12 moreFuzzy Logic, Algorithm, Optimization Problem, Mathematical Sciences, VERY LARGE SCALE INTEGRATED CIRCUITS, Design Automation, Mathematical Optimization, Quadratic Assignment Problem, Search Space, Fuzzy Set, Simulated Evolution, and Optimal Solution
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Research Interests: Mathematics, Computer Science, Logic, Fuzzy Logic, Genetic Algorithms, and 15 moreCircuits and Systems, Automata, Multiobjective Optimization, Genetic Algorithm, Optimization Problem, Multi objective optimization, Circuits, Capacitance, Logic Design, Finite state machines, Computer, Power Dissipation, Minimization, Hamming Distance, and Finite State Machine
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In this paper, the mechanism of radiative Oldroyd-B nanofluid flow over a rotating disk with activation energy and motile microorganisms is examined. The perspective of fluid flow due to disk rotation encompasses both theoretical and... more
In this paper, the mechanism of radiative Oldroyd-B nanofluid flow over a rotating disk with activation energy and motile microorganisms is examined. The perspective of fluid flow due to disk rotation encompasses both theoretical and practical relevance of it in engineering and applied sciences. Nonlinear ordinary differential equations are firstly converted from the corresponding partial differential equations and are formerly renovated using appropriate transformation to achieve set of nondimensional equations that were subsequently solved by shooting technique. The solution for regulating flow equations is carried out with the execution of the prominent numerical method bvp4c built-in function of MATLAB software. The observed response is supported by a comparison with existing resources, and a comprehensive graphical representation has been taken into account for parameters such as Deborah number, buoyancy ratio parameter, thermophoresis, Brownian motion, Biot number, and for motile microorganisms. Graphs and tables demonstrate the pertinent flow characteristics of the governing problem.
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Abstract To achieve sustainable development in all stages of society the participation of rural communities is essential. Rural communities are known to employ energy inefficient devices which lead to major energy depletion and this has a... more
Abstract To achieve sustainable development in all stages of society the participation of rural communities is essential. Rural communities are known to employ energy inefficient devices which lead to major energy depletion and this has a negative impact on sustainability. Exergy and sustainability analyses can be applied to highlight the relation between energy utilization and sustainability. Keeping this in mind, the current study focuses on the integration of conventional sectoral exergy analysis and sustainability analysis. Based on forecasted data between 2010 and 2050, a case study of Bangladesh's rural residential sector is investigated in terms of energy, exergy, and sustainability analyses. The energy efficiencies of this sector are found to vary between 18.96% and 31.53% while exergy efficiencies vary between 4.86% and 8.42%. Several exergetic sustainability indicators such as depletion number, sustainability index, environmental effect factor, waste exergy ratio, environmental destruction coefficient, environmental destruction index, and environmental benign index are used to highlight the sustainability of this sector. From the sustainability analysis, it is found that 95% of the fuel is depleted from this sector and it contributes to lower sustainability index of 1.05. Waste exergy ratio from biomass varies between 0.75 and 0.93. This sector has the highest environmental destruction index of 39.10 and lowest environmental benign index of 0.03. Efficient use of biomass resources, replacing old biomass stoves and developing energy policies using exergy can improve the sustainability of this sector.
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Abstract The current study's main objective is to apply energy, exergy, & sustainability analysis and provide suggestions to improve the sustainability of the commercial sector of Bangladesh. Data from 2000 to 2014 is analyzed,... more
Abstract The current study's main objective is to apply energy, exergy, & sustainability analysis and provide suggestions to improve the sustainability of the commercial sector of Bangladesh. Data from 2000 to 2014 is analyzed, and it is found that the estimated energy efficiencies range from 65.42% to 68.5%, while exergy efficiencies range from 10.79% to 11.49%. Depletion number, sustainability index, lack of productivity, relative irreversibility, waste exergy ratio, environmental effect factor, & environmental destruction coefficient are utilized as sustainability indicators. From the study, it is found that sustainability index varies between 1.12 and 1.13, while relative irreversibility varies between 0.44 and 0.53. Lack of productivity is found to be higher for cooking appliances and varies from 3.52 to 4.06. Waste exergy ratio and environmental effect factor are found to be higher for electrical appliances. For electrical appliances, waste exergy ratio varies from 0.42 to 0.50 and environmental effect factor varies from 3.5 to 4.55. Environmental destruction coefficient reaches as high as 9.27. It is determined that Bangladesh's commercial sector is more sustainable compared to Turkey, Japan, Saudi Arabia, and Malaysia but less sustainable than Norway, and Sweden. Utilization of energy efficient lighting, waste energy management, and replacing gas-fired cooking stoves with electrical appliances are provided as recommendations to reduce exergy loss. The study outcome reveals that increasing exergy efficiencies can ensure a sustainable commercial sector.
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Genetic algorithms (GAs) have been found to be very effective in solving numerous optimization problems, especially those with many (possibly) conflicting and noisy objectives. However, there seems to be no consensus as to what fitness... more
Genetic algorithms (GAs) have been found to be very effective in solving numerous optimization problems, especially those with many (possibly) conflicting and noisy objectives. However, there seems to be no consensus as to what fitness measure to use in ...
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Research Interests: Parallel Algorithms, Combinatorial Optimization, Fuzzy set theory, Tabu Search, VLSI, and 9 moreStochastic processes, Parallel & Distributed Computing, Very Large Scale Integration, Local Area Networks, Multi-threading, Domain Decomposition, Functional Decomposition, Tabu Search Algorithm, and Heterogeneous environment
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The Smart Grid Infrastructure (SGI) provides for sustainable, affordable and uninterrupted electricity supply to consumers. The communications infrastructure of the SGI is prone to several malicious attacks identified in the recent past.... more
The Smart Grid Infrastructure (SGI) provides for sustainable, affordable and uninterrupted electricity supply to consumers. The communications infrastructure of the SGI is prone to several malicious attacks identified in the recent past. Customer-specific electricity readings are communicated up the SGI hierarchy from consumer devices to centralized servers through intermediary devices such as smart meters and data concentrators/aggregators. In this paper, we model the attacks against the home area network of the SGI, through definition and generation of routine device behaviors. Any observed deviation from the defined normal profile is labeled as a malicious attack. Subsequently, we propose a Self-Organizing Map (SOM)-based approach towards training and testing of centralized SGI devices to qualify them for identifying anomalies accurately. The proposed scheme is capable of detecting anomalous readings within a consumer's household, with reasonable accuracies.