Contact

E-Mail: bahar.dadfar@kit.edu

Dr.-Ing. Bahar Dadfar

PhD in Chemical Engineering

Karlsruhe Institute of Technology (KIT)

Karlsruhe, Germany

Chemical Engineering

Dissecting Biomolecular Interaction Using Deep Learning Approaches

Lecturer

Alzahra Technical and Vocational University

Shiraz, Iran

Chemical Industry Engineering

Master of Science

University of Isfahan

Isfahan, Iran

Chemical Engineering - Biotechnology

Thermodynamic Modeling of Phase Equilibrium of Brine/Oil/Surfactant System for Enhanced Oil Recovery

Bachelor of Science

University of Shiraz

Shiraz, Iran

Chemical Engineering - Refining, Petrochemical and Gas Industries

Mathematical Modeling of Solar Dryer (Solving a System of PDE Using MATLAB Software

B Dadfar, S Vaez, C Haret, M Koenig, T Mohammadi Hafshejani, M Franzreb, and J Lahann. (2024), Deep-Learning-Assisted Affinity Classification for Humoral Immunoprotein Complexes. Small Struct. 2400204.
S Vaez, B Dadfar, M Koenig, M Franzreb, and J Lahann. (2024), Deep Learning-Based Classification of Histone–DNA Interactions Using Drying Droplet Patterns. Small Sci. 2400252.
T Mohammadi Hafshejani, X Zhong, J Kim, B Dadfar, and J Lahann. (2023), Chemical and Topological Control of Surfaces Using Functional Parylene Coatings. Organic Materials, 5(02), pp.98-111.
B Dadfar, and D Biria. (2015), Application of group contribution–NRTL model with closure to predict LLE behavior of an oil/brine/surfactant system. Journal of Chemical & Engineering Data, 60(9), pp.2575-2584.
B Dadfar, and D Biria. (2014), Improved Estimation of the Binary Interaction Parameters in Group Contribution NRTL Model for an Ionic Surfactant/Brine/Oil System using Genetic Algorithm. 2nd International Conference on Oil, Gas, and Petrochemical, Tehran, Iran (Conference Paper)

B Dadfar, M Franzreb, J Lahann. Dissecting the Biomolecular Interactions at Materials’ Surfaces Using Deep Learning Approaches, Macromolecular Colloquium Freiburg - MAKRO 2024, 26 – 27th Feb 2024, Freiburg im Breisgau
B Dadfar, M Franzreb, J Lahann. Dissecting the Biomolecular Interactions at Materials’ Surfaces Using Deep Learning Approaches, Macromolecular Colloquium Freiburg - MAKRO 2023, 16 – 17th Feb 2023, Freiburg im Breisgau
B Dadfar, M Franzreb, J Lahann. Dissecting the Biomolecular Interactions at Materials’ Surfaces Using Deep Learning Approaches, MSE 2022, 27-29th Sep 2022, Darmstadt