Saeid Ekrami, PhD

Extensive experience in molecular dynamics (MD) simulation and quantum mechanics (QM) in chemical/biological systems

• Modeling polymers and macromolecules (e.g., hyaluronic acid, Polyallylamine, etc.)
• Modeling chemical reactions (bond breaking/formation) in classical molecular dynamics
• Compute molecular and solid-state materials' electronic, electrochemical, and optical properties
• Predict molecular energies, forces, vibrational frequencies, and thermodynamic quantities using Potential Neural Networks
• Implementing various molecular descriptors (e.g., Graph NN) in ML/DL models
• Experienced with generative models in deep learning (e.g., VAE, GAN, etc.)

Extensive expertise in processing and analysis of experimental/computational data

• Development of fully automated code to analyze AFM force curves
• Statistics and Chemometrics analysis on Infrared spectra
• Image processing (object detection and segmentation) on microscopic data

Comprehensive hands-on laboratory skills

• Synthesizing hydrogels and polyelectrolyte multilayers (PEM) films
• Vibrational spectroscopy using Fourier Transform Infrared (FTIR) and Raman (Transmission, Reflectance, ATR techniques)
• Atomic Force Microscopy (AFM) for imaging and mechanical investigation (Contact mode and tapping mode)
• Imaging using scanning electron microscopy (SEM)
• Surface functionalization using SAMs