Cutting Edge Processes
In iDAG, we employ evidence-based and agile research and development strategies
About Us
iDAG group was established to create a consortium of data analytics experts and students at Sheffield Hallam University and to give them the opportunity to collaborate on interactive data analytics projects. Our members work with partners from both industry and academia on practical projects where they put their knowledge and talents to use. The group provides a forum for academia and industry experts to discuss and exchange best practices.
We also aim to assist SMEs in gaining insights that lead to better, quicker decisions, by employing the latest analytics tools and approaches. Our Advanced Analytics team can help reimagine business core operations and turn internal and external data into a never-ending source of value, from enhancing customer relationships and data-driven supply chain management to improved go-to-market strategies and staff engagement.
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01
Business and Data Understanding
Initiate contact with business stakeholders and identify what are the business needs and what is the current status of required data.
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02
Data Preparation and Modeling
Organize data efficiently to allow the chosen modeling techniques to be applied effectively.
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03
Solution Development, Evaluation and Deployement
Utilize cutting-edge technologies to validate the developed solutions against business objectives with stakeholders before deployment.
Data Science Data Analytics Software Engineering
We have extensive expertise in combining machine learning, data analytics, and software engineering best practices to help produce bespoke solutions using cutting edge technologies
Data Analytics and Business IntelligenceEXPERT
Machine Learning EXPERT
Statistical AnalysisEXPERT
Software Engineering EXPERT
Services
No matter the location or the type of your data assets, we can help you get the most value out of them. Our data analytics professionals cooperate with you to take on your most tough challenges. We can help you as well to develop and improve your internal abilities to expand your new data analytics proficiency.
Bespoke Solutions
Transform your data into actionable insights with our bespoke machine learning and data analytics solutions tailored to your unique business needs
Staff Development
Unlock the full potential of your workforce with our comprehensive staff development services, providing tailored training and development programs to enhance your team's skills and expertise
Business Intelligence
Make informed business decisions and stay ahead of the competition with our powerful business intellgeince services, offering advanced data visualization, reporting, and analytics to drive your organization's growth
Data Management
Effortlessly manage your data and drive business value with our data management services, providing robust solutions for data integration, cleansing, migration, and storage to ensure accuracy and consistency.
Meet Our Group Members
Dr. Abdel-Karim Al-Tamimi
Senior Lecturer of Computer ScienceExpert in Machine Learning and Software Engineering
Dr. Hemlata Sharma
Senior Lecturer in Digital Analytics and TechnologiesExpert in Internet of Things (IoT), Artificial Intellegeince (AI), and Machine Learning (ML)
Dr. Yasir Javed
Senior Lecturer in Digital Analytics and TechnologiesExpert in designing data collection tools and data analytics using R & SPSS
Dr. Sandhya Makkar
Senior Lecturer in Data Analytics and TechnologiesExpert in Data Analytics, Statistical Analysis Systems(SAS), R programming, Machine Learning, Supply Chain Optimization
Publications
- Alwada’n, Tariq, Abdel-Karim Al-Tamimi, Adel Hamdan Mohammad, Maher Salem, and Yar Muhammad. "Dynamic congestion management system for cloud service broker." International Journal of Electrical and Computer Engineering (IJECE) 13, no. 1 (2023): 872-883.
- Al-Jarrah, Mohammad A., Ahmad Al-Jarrah, Amin Jarrah, Mohammad AlShurbaji, Sharaf K. Magableh, Abdel-Karim Al-Tamimi, Nisreen Bzoor, and Mamoun O. Al-Shamali. "Accurate Reader Identification for the Arabic Holy Quran Recitations Based on an Enhanced VQ Algorithm." Revue d'Intelligence Artificielle 36, no. 6 (2022): 815-823.
- Maher Salem and Abdel-Karim Al-Tamimi, "A Novel Threat Intelligence Detection Model Using Neural Networks," in IEEE Access, vol. 10, pp. 131229-131245, 2022, doi: 10.1109/ACCESS.2022.3229495.
- Abdel-Karim Al-Tamimi, Asseel Qasaimeh, and Kefaya Qaddoum. "Offline signature recognition system using oriented FAST and rotated BRIEF." International Journal of Electrical and Computer Engineering 11, no. 5 (2021): 4095.