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إيهاب مصطفى سعد الزيات

Assistant Professor

عضو هيئة تدريس

كلية الصيدلة
Male Campus 1B 24

نبذة تعريفية / مختصر السيرة الذاتية

Dr. Ehab Elzayat is an accomplished pharmaceutical scientist and academic leader with over 18 years of professional experience spanning research, teaching, and administration. As an Assistant Professor and QC Lab Manager at King Saud University's College of Pharmacy, he combines his expertise in pharmaceutics with a strong business acumen developed through his MBA and PMP/ACP certifications. Notably, as the Head of the AI Committee at the College of Pharmacy, he is pioneering the integration of artificial intelligence into pharmaceutical education and research, most prominently through his consultancy work with the Saudi Food and Drug Authority (SFDA) on the innovative "AI-Powered GMP Inspection Report Generation and Regulatory Compliance System." His research interests focus on innovative drug delivery systems, particularly modulated drug release formulations, nanotechnology, and bio-responsive delivery mechanisms. With 37+ publications in peer-reviewed journals and 2 registered patents, Dr. Elzayat has made significant contributions to pharmaceutical sciences, especially in the areas of SNEDDS technology, matrix tablet design, and analytical method development. Beyond his academic pursuits, he leverages his technical knowledge in consulting roles and promotes pharmaceutical education through his YouTube channel "The PharmaSee." His unique blend of scientific expertise, project management skills, and emerging AI implementation capabilities has established him as an influential figure bridging traditional pharmaceutical sciences with cutting-edge technological applications.

مجالات الخبره

Areas of Expertise

  • Advanced Drug Delivery Systems
    • Design and optimization of Self-Nanoemulsifying Drug Delivery Systems (SNEDDS)
    • Development of modulated-release matrix tablets using various polymeric systems
    • Nanoparticle formulation and characterization techniques
  • Analytical and Bioanalytical Methods
    • Bioanalytical method development using UPLC-MS/MS for pharmacokinetic studies
    • Stability-indicating analytical method development
    • Quality control testing of pharmaceutical dosage forms
  • Research Optimization Approaches
    • Design of Experiments (DoE) for pharmaceutical formulation optimization
    • Implementation of Quality by Design principles
    • Statistical modeling and analysis using specialized software
  • Technology Integration
    • Application of artificial intelligence in pharmaceutical research and regulatory processes
    • Robotic Process Automation (RPA) implementation in pharmaceutical processes
    • Digital technology solutions for educational and laboratory management
  • Project Management
    • Leadership of multidisciplinary research and technical teams
    • Application of Agile and traditional project management methodologies
    • Industry-academia collaboration coordination