Mohamed Iheb Hergli - MEDTECH - Private University

Qualifications: Engineer’s Degree in Computer Systems Engineering, Mediterranean Institute of Technology (MedTech), South Mediterranean University, Tunisia

Biography

Med. Iheb Hergli is a computer engineer and Teaching Assistant at the Mediterranean Institute of Technology (MedTech), where he supports instruction in Deep Learning, Natural Language Processing, and Calculus. He is actively involved in research collaborations with the Institut Pasteur de Tunis, focusing on the integration of artificial intelligence and quantum computing in computational sciences.

Areas of Expertise

Quantum Computing & Quantum Machine Learning Deep Learning Natural Language Processing Computational Drug Discovery

Research Interest

Quantum Algorithms Transformer Models Optimization Machine Learning Molecular Modeling

Publications

Hergli, I. and Harigua, E., MolGAN-QRL: A Hybrid Framework for Molecule Generation using Quantum-Enhanced Reinforcement Learning, submitted to Journal of Cheminformatics (Springer Nature), 2025.

Courses

CS495 – Deep Learning (Lab Sessions)
MATH142 – Calculus II (Recitations)