Mr. Noradin Ghariani
- َQualifications: Master degree
- Academic Rank: Assistant Lecturer
- Department of Medicine
- faculty of Medicine
Roles
1. Educational and Teaching Duties
Practical and Clinical Teaching: Direct supervision of practical sessions in laboratories (for basic medical sciences like Anatomy, Histology, or Physiology) and clinical rounds in hospital wards (for clinical departments like Internal Medicine or Surgery).
Theoretical Teaching: Delivering specific theoretical lectures to undergraduate students under the guidance and supervision of senior professors.
Interactive Discussions: Facilitating small group tutorials and Problem-Based Learning (PBL) sessions.
Academic Advising: Mentoring students, tracking their academic progress, and addressing their scientific inquiries.
University Hospital Work: Practicing medicine, evaluating cases, and providing patient care in the wards and outpatient clinics of affiliated university teaching hospitals.
Medical Training: Providing daily supervision and hands-on clinical training for interns (House Officers) and junior residents, guiding them in essential medical skills and procedures.
Completing the Doctoral Thesis: The primary scientific objective at this career stage is conducting original research for a Ph.D. or final Medical Board to fulfill promotion requirements.
Research Collaboration: Assisting senior faculty in ongoing research projects, which includes medical data collection, literature reviews, and statistical analysis.
Academic Activities: Actively participating in medical conferences, workshops, and routine departmental events such as Journal Clubs and complex Case Presentations.
Careers
Academic and Educational Career
Degrees: Bachelor of Medicine and Surgery (M.B.B.Ch) from Tripoli University (2011), and a Master's degree in Cardiology from Zagazig University (2024).
Academic Teaching: Serving as a teaching assistant and clinical instructor for medical students at Tripoli University since January 2013.
Clinical Career (Cardiologist & Cardiac Device Programmer)
Subspecialty: Follow-up, programming, and troubleshooting of implantable cardiac devices (Pacemakers, ICDs, and CRTs) utilizing specialized medical programmers (including Medtronic CareLink, Boston Scientific Zoom Latitude, Abbott Merlin 3650, and Biotronik ICS 3000).
Clinical Practice: Managing outpatient device follow-up clinics and providing clinical care at Al Fouz Cardiac Center, Meitiqa Hospital (since August 2024), National Heart Center - Tajura (since February 2025), and Al-Sandan Medical Center.
Technical Development and Healthcare Technology
Medical Systems Engineering: Designing user interfaces and database schemas for Electronic Medical Records (EMR/EHR), discharge summaries, and cardiac catheterization inventory tools, structurally grounded in the HL7 reference protocol.
Application Programming: Developing interactive applications (using Flutter, Supabase, Python Flet, and Delphi) to manage hospital on-call duty schedules and QR-code meal distribution, alongside creating software for real-time ECG waveform visualization.
Embedded Systems & AI: Integrating medical hardware using microcontrollers (such as ESP32 paired with AD8232 ECG sensors) for wireless data transmission, and deploying local artificial intelligence models to augment medical analysis.
Research Interests
Research Interests
Research interests center on the innovative intersection of cardiology (specifically electrophysiology), software engineering, and advanced medical technologies, focusing on the following core areas:
Cardiac Electrophysiology & CIEDs: Optimizing programming and follow-up strategies for Cardiac Implantable Electronic Devices (Pacemakers, ICDs, CRTs). Evaluating the clinical performance of remote monitoring technologies and medical device programmers to enhance patient quality of life and preempt complications.
Health Informatics & Medical Systems Engineering: Designing and developing advanced Electronic Medical Record (EMR/EHR) models structurally grounded in the HL7 reference protocol for healthcare data exchange. Engineering robust database systems to improve workflow efficiency in cardiac catheterization labs and general hospital management.
AI in Healthcare: Leveraging specialized medical models and local artificial intelligence (including MedGemma, Google ML Kit, and Whisper) for clinical data analysis, automating medical text extraction, and supporting clinical decision-making while strictly maintaining patient data privacy.
Medical IoT & Bio-signal Processing: Developing telemetry and wearable monitoring devices using microcontrollers (such as ESP32 embedded systems paired with AD8232 sensors). Focusing on rapid wireless data transmission and developing software for real-time ECG waveform visualization and algorithmic analysis.
External Activities
Research Interests
Research interests center on the innovative intersection of cardiology (specifically electrophysiology), software engineering, and advanced medical technologies, focusing on the following core areas:
Cardiac Electrophysiology & CIEDs: Optimizing programming and follow-up strategies for Cardiac Implantable Electronic Devices (Pacemakers, ICDs, CRTs). Evaluating the clinical performance of remote monitoring technologies and medical device programmers to enhance patient quality of life and preempt complications.
Health Informatics & Medical Systems Engineering: Designing and developing advanced Electronic Medical Record (EMR/EHR) models structurally grounded in the HL7 reference protocol for healthcare data exchange. Engineering robust database systems to improve workflow efficiency in cardiac catheterization labs and general hospital management.
AI in Healthcare: Leveraging specialized medical models and local artificial intelligence (including MedGemma, Google ML Kit, and Whisper) for clinical data analysis, automating medical text extraction, and supporting clinical decision-making while strictly maintaining patient data privacy.
Medical IoT & Bio-signal Processing: Developing telemetry and wearable monitoring devices using microcontrollers (such as ESP32 embedded systems paired with AD8232 sensors). Focusing on rapid wireless data transmission and developing software for real-time ECG waveform visualization and algorithmic analysis.
