Faisal Alghamdi

ORCID: 0000-0001-5956-7173
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About
Contact & Profiles
Research Areas
  • Water Systems and Optimization
  • Water Quality Monitoring Technologies
  • Artificial Intelligence in Healthcare and Education
  • Workplace Health and Well-being
  • Healthcare professionals’ stress and burnout
  • Water Treatment and Disinfection
  • Antibiotic Use and Resistance
  • Sepsis Diagnosis and Treatment
  • Nosocomial Infections in ICU
  • Artificial Intelligence in Healthcare
  • Water-Energy-Food Nexus Studies
  • COVID-19 and Mental Health
  • Water resources management and optimization
  • Urban Stormwater Management Solutions

North Carolina State University
2021-2024

King Abdulaziz University
2021-2024

King Faisal University
2024

King Fahad Hospital Jeddah
2021

Leakages in water distribution networks (WDNs) are estimated to globally cost 39 billion USD/year and cause revenue losses, infrastructure degradation, other cascading effects. Their impacts can be prevented mitigated with prompt identification accurate leak localization. In this work, we propose the leakage localization algorithm (LILA), a pressure-based for data-driven model-based WDNs. First, LILA identifies potential leakages via semisupervised linear regression of pairwise sensor...

10.1061/(asce)wr.1943-5452.0001535 article EN Journal of Water Resources Planning and Management 2022-04-15

Purpose: To assess mental well-being (MW), self-efficacy (SE), and their predictors among healthcare workers (HCWs) in Saudi Arabia during the COVID-19 pandemic. Methods: Analytical cross-sectional study recruited 1046 HCWs by cluster random sampling technique. Socio-demographic, health, occupational characteristics were collected for all participants. The WHO five Well-Being Index (WHO-5) General Self-Efficacy Scale (GSES) used to MW SE of participants, respectively. binary logistic...

10.2147/rmhp.s320421 article EN cc-by-nc Risk Management and Healthcare Policy 2021-07-01

Background: Procalcitonin (PCT) has been used as a biomarker to guide antibiotic therapy in various patient populations. However, its role optimizing use COVID-19 patients not well studied date. Thus, we aimed evaluate the of serial PCT monitoring an antimicrobial stewardship tool for patients. Methods: This retrospective study included 240 who were admitted tertiary medical institution Saudi Arabia between January 2020 and February 2022. Patients received empiric community-acquired...

10.3390/ph17050624 article EN cc-by Pharmaceuticals 2024-05-12

Abstract This research investigates dynamic pricing as a demand management tool to reduce cost and increase the lifespan of water distribution systems by reducing peak hour demand. Individual consumer responses changes in hourly price are simulated using advanced metering infrastructure (AMI) data. Demand profiles used input hydraulic simulation model evaluate effects changing demands on flows in‐network metrics. The framework is applied Lakewood City, California, pipe network AMI data...

10.1029/2023wr035246 article EN cc-by-nc-nd Water Resources Research 2024-09-01

This study aimed to identify the reality of Using Artificial intelligence "AI" in Hospitals and Health Care Centers as Seen by Workers Medicine, Nursing, Laboratory, Public Health, Nutrition, Information Riyadh Region. The followed descriptive survey method. sample consisted (80) workers medicine, nursing, laboratory, public health, health information, nutrition, a questionnaire was used collect data consisting (18) items distributed among fields artificial intelligence: (databases used,...

10.61707/4wyc0c34 article EN cc-by-nc-nd International Journal of Religion 2024-12-11
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