I'm in the fourth year of my PhD studies (Computer Science) at the University of Paderborn and pleased to work with Prof. Dr. Eyke Hüllermeier as my PhD supervisor. 
I received my Master's degree in Computer Science from University of Bonn. My Master's thesis was entitled as "Predicting Potent Compounds via Model-Based Global Optimization" ([pdf] [slides]), and supervised by Prof. Dr. Holger Fröhlich.

Mohsen Ahmadi Fahandar, Eyke Hüllermeier. 
Analogy-Based Preference Learning with Kernels (arXiv:1901.02001)

Mohsen Ahmadi Fahandar, Eyke Hüllermeier. 
Learning to Rank Based on Analogical Reasoning 
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI 2018) 

Mohsen Ahmadi Fahandar, Eyke Hüllermeier, Inés Couso. 
Statistical Inference for Incomplete Ranking Data: The Case of Rank-Dependent Coarsening 
Proceedings of the 34th International Conference on Machine Learning (ICML 2017) 

Inés Couso, Mohsen Ahmadi, Eyke Hüllermeier. 
Statistical Inference for Incomplete Ranking Data: A Comparison of two Likelihood-Based Estimators 
Proceedings of the DA2PL'2016 EURO Mini Conference (DA2PL 2016) 

Mohsen Ahmadi, Martin Vogt, Preeti Iyer, Jürgen Bajorath, Holger Fröhlich.
Predicting Potent Compounds via Model-Based Global Optimization 
Journal of Chemical Information and Modeling (JCIM 2013)