A5045342137- Biomedical Text Mining and Ontologies
- Bioinformatics and Genomic Networks
- Semantic Web and Ontologies
- Gene expression and cancer classification
- Data Quality and Management
- Cryptography and Data Security
- Environmental Monitoring and Data Management
- Single-cell and spatial transcriptomics
- Library Science and Information Systems
- Advanced Database Systems and Queries
- Network Security and Intrusion Detection
- Computational Drug Discovery Methods
- Blockchain Technology Applications and Security
- Advanced Malware Detection Techniques
- Digital and Cyber Forensics
- Privacy-Preserving Technologies in Data
- Web Data Mining and Analysis
- Cloud Data Security Solutions
- Gene Regulatory Network Analysis
- Access Control and Trust
- Data Management and Algorithms
- High-Voltage Power Transmission Systems
- Power Systems Fault Detection
- Invertebrate Taxonomy and Ecology
- Ferroptosis and cancer prognosis
Ollscoil na Gaillimhe – University of Galway
2013-2021
University of Kuala Lumpur
2018-2020
Islamic University of Madinah
2019
University of Ottawa
2019
CECOS University
2017
Institute of Management Sciences Peshawar
2011
B.S. Abdur Rahman Crescent Institute of Science & Technology
2009
The Web of Data has grown enormously over the last years. Currently, it comprises a large compendium interlinked and distributed datasets from multiple domains. Running complex queries on this often requires accessing data different endpoints within one query. abundance da tasets need for running query thus motivated considerable body work SPARQL federation systems, dedicated means to access Data. However, granularity previous evaluations such systems not allowed deriving insights concerning...
Data retrieval systems are facing a paradigm shift due to the proliferation of specialized data storage engines (SQL, NoSQL, Column Stores, MapReduce, Stream, and Graph) supported by varied models (CSV, JSON, RDB, RDF, XML).One immediate consequence this results into bottleneck over web; which means, web applications unable retrieve with intensity at being generated from different facilities.Especially in genomics healthcare verticals, growing petascale exascale, biomedical stakeholders...
Several query federation engines have been proposed for accessing public Linked Open Data sources. However, in many domains, resources are sensitive and access to these is tightly controlled by stakeholders; consequently, privacy a major concern when federating queries over such datasets. In the Healthcare Life Sciences (HCLS) domain real-world datasets contain statistical information: strict ownership granted individuals working hospitals, research labs, clinical trial organisers, etc....
Next Generation Sequencing (NGS) is playing a key role in therapeutic decision making for the cancer prognosis and treatment. The NGS technologies are producing massive amount of sequencing datasets. Often, these datasets published from isolated different facilities. Consequently, process sharing aggregating multisite thwarted by issues such as need to discover relevant data sources, built scalable repositories, automation linkage, volume data, efficient querying mechanism, information rich...
The average life expectancy of the world's population is increasing and healthcare systems sooner than later will be compromised by its reduced capacity highly economic cost; in addition, age distribution leading towards older spectrum.This trend lead to immeasurable unexpected problems social changes.In order face up this challenge complex problem, it necessary rely on appropriate digital tools technological infrastructures for ensuring that elderly are properly cared their everyday living...
A mishap in anti-cancer drug distribution is critical breast cancer patients due to poor prediction model identify the treatment regime ER+ve and ER-ve (Estrogen Receptor (ER)) patients. The traditional method for depends on change expression across normal-disease pair. However, it certainly misses multidimensional aspect underlying cause of relapse, such as various mutations, dosage side effects, methylation, etc. In this paper, we have developed a multi-layer neural network classify...
A significant portion of the LOD cloud consists Life Sciences data sets, which together contain billions clinical facts that interlink to form a "Web Clinical Data". However, tools for new publishers find relevant datasets could potentially be linked are missing, particularly in specialist domain-specific settings. Based on set keywords extracted from local dataset, this paper proposes methods automatically identify public SPARQL endpoints list candidates.
Healthcare record sharing among various medical roles is a critical and challenging research problem especially in today’s everchanging global IT solutions. The emergence of blockchain as new enabling technology brought radical changes to numerous business applications, including healthcare. Blockchain trusted distributed ledger that forms decentral-ized infrastructure. There have been several proposals regarding the healthcare records over infras-tructure without requiring prior...
Abstract An electronic business transaction among untrusted bodies without consulting a mutually trusted party has remained widely accepted problem. Blockchain resolves this problem by introducing peer‐to‐peer network with consensus algorithm and ledger. originally introduced for cryptocurrency that came proof‐of‐work algorithm. Due to some performance issues, scientists brought concept of permissioned Blockchain. Hyperledger Fabric is targeting business‐oriented problems industry. It...
The database, semantic web, and linked data communities have proposed solutions that federate queries over multiple sources using a single model. Nowadays, the retrieval requirements originating from versatile broad domains like healthcare life sciences (HCLS) are changing this conventional trend - of federating query model primarily due to simultaneous use different models (CSV, JSON, RDB, RDF, XML, etc.) in real-life scenario. It's now impractical assume variety (graph, key-value, stream,...
Abstract Prediction of metastatic sites from the primary site origin is a impugn task in breast cancer (BRCA). Multi-dimensionality such - bone, lung, kidney, and brain, using large-scale multi-dimensional Poly-Omics (Transcriptomics, Proteomics Metabolomics) data various type, for example, CNV (Copy number variation), GE (Gene expression), DNA methylation, path-ways, drugs with clinical associations makes classification metastasis multi-faceted challenge. In this paper, we have approached...
Biosimulation models have been recently introduced to understand the exact causative factors that give rise impairment in human organs. Finite Element Method (FEM) provides a mathematical framework simulate dynamic biological systems, with applications ranging from ear, cardiovascular, neurovascular research. Due lack of well-integrated data infrastructure, steps involved execution and comparative evaluation large (FE) simulations are time consuming performed isolated environments. In this...
The LOD cloud comprises of billions facts covering hundreds datasets. In accordance with the Linked Data principles, these datasets are connected by a variety typed links, forming an interlinked "Web Data". growing diversity Web makes it more and challenging for publishers to find relevant that could be linked to, particularly in specialist domain-specific settings. This paper thus proposes baseline method automatically identify list public SPARQL endpoints whose content is deemed local...
Healthcare experts have recently turned towards the use of Biosimulation models to understand multiple or different causative factors that cause impairment in human organs. The applications biosimulations been applied biological systems ranging from ear, cardiovascular, neurovascular research using Finite Element Method (FEM). FEM provide a mathematical framework simulate these dynamic systems. Visualizing and analyzing huge amounts (FE) numerical data is strenuous task. In this paper, we...
Biomedical and genomic data are inherently heterogeneous their recent proliferation over the Web has demanded innovative querying methods to help domain experts in clinical research studies. In this paper we present use of Semantic technologies diverse phenotype-genotype associations for supporting personalized medicine potentially helping discover new associations. Our initial results suggest that competitive advantages extracting, consolidating presenting resides various bioinformatics...
Biosimulation models are used to understand the multiple or different causative factors that cause impairment in human organs. Finite Element Method (FEM) provide a mathematical framework simulate dynamic biological systems, with applications ranging from ear, cardiovascular, neurovascular research. (FE) experiments produce huge amounts of numerical data. Visualizing and analyzing this biosimulation data is strenuous task. In paper, we present Linked Data Visualiser - called SIFEM help...