A5083823151- Innovative Human-Technology Interaction
- Digital Mental Health Interventions
- Advanced Malware Detection Techniques
- Green IT and Sustainability
- Network Security and Intrusion Detection
- Reservoir Engineering and Simulation Methods
- Sports Analytics and Performance
- Energy and Environment Impacts
- Digital and Cyber Forensics
- Mobile Health and mHealth Applications
- Oil and Gas Production Techniques
- Environmental Education and Sustainability
- Hydraulic Fracturing and Reservoir Analysis
- Persona Design and Applications
- Social Acceptance of Renewable Energy
- Behavioral Health and Interventions
Imam Abdulrahman Bin Faisal University
2015-2025
Saudi Aramco (Saudi Arabia)
2023
University of Manchester
2020
In the oil and gas industries, predicting classifying production for hydrocarbon wells is difficult. Most companies use reservoir simulation software to predict future devise optimum field development plans. However, this process costs an immense number of resources time consuming. Each prediction experiment needs tens or hundreds runs, taking several hours days finish. paper, we attempt overcome these issues by creating machine learning deep models expedite forecasting production. The...
In today’s digitalized era, the usage of Android devices is being extensively witnessed in various sectors. Cybercriminals inevitably adapt to new security technologies and utilize these platforms exploit vulnerabilities for nefarious purposes, such as stealing users’ sensitive personal data. This may result financial losses, discredit, ransomware, or spreading infectious malware other catastrophic cyber-attacks. Due fact that ransomware encrypts user data requests a ransom payment exchange...
Understanding public sentiment on health and fitness is essential for addressing regional challenges in Saudi Arabia. This research employs analysis to assess awareness by analyzing content from the X platform (formerly Twitter), using a dataset called Aware, which includes 3593 posts related awareness. Preprocessing steps such as normalization, stop-word removal, tokenization ensured high-quality data. The findings revealed that positive sentiments about were more prevalent than negative...
This study aims to measure the public's knowledge about renewable energy sources, their willingness use solar as a main source in households, and understand motivation undergoing (or not) such an shift; hence, potential influencing factors that will help win public support can be determined. A survey is tailored order capture relevant belief, perception, planned behavior, then descriptive analysis of data performed examine associations between panels households other explanatory variables....
Many self-trackers lose interest in, disengage from and ultimately withdraw tracking. Reasons for this include poor motivation, unmet expectations difficulty in attaining daily goals. To support users reflecting on their goals more realistically, we developed FitReflect, an app that moderates physical activity by factoring users' confidence achieving the The also encourages to reflect regularly think about factors affecting achievement. We conducted a 4-week field experiment where trialled...
Self-trackers reflect on their personal data to understand behaviour and plan accordingly. Often, this reflection involves uncertainty, which can affect decision-making. To better the role of we conducted an interview study comprehend how uncertainty influences resulting actions. Our findings suggest that, in addition conventional as a barrier, also manifests trigger facilitator reflection. We discuss functionalities alleviate negative effects (e.g. incorporating users' expectations...
Physical activity reconstruction is a process whereby self-trackers reflect on their physical activities and goals in an episodic fashion by recalling series of past experiences events. Tracking tools often include spatio-temporal cues (i.e. maps timelines) to provide further context these patterns, yet little known about whether features actually aid reflection. Here, we report four-week user study (N=26) run with FitReconstruct, app that fosters data using contextual support recall...