PhD Cand. in Computer Science
Research Topic: "Explainable Graph Neural Network Recommenders"
Supervisor: Dr. Eva Zangerle
Research on Machine Learning, GNN, XAI, RecSys
M.Sc. in Computer Science
Thesis title: "Web User Intention Prediction Using AutoML"
Supervisor: Dr. Mahdi Bohlouli
Research on Machine Learning, AutoML, HPO, Neural Architecture Search (NAS),
GPA: 19.64/20.00 (Ranked 1st)
Selected courses passed: Advanced Artificial Intelligence (A++), Reinforcement Learning (A++), Big Data Analytics (A+), Advanced Database Management (A+), Data Mining (A++), NLP and Information Retrieval (A+), Computational data Mining (A+), Multi Agent Systems (A++)
Studied as an EU funded Erasmus+ project called GraDAna.
Participated topics: Statistical Methods in Information Systems, Open Source Software Data Engineering, Social Networks Analytics, Cloud Computing, Distributed Systems, Citizen Science and Smart Cities, Big Data, Big Data in Practice, Tools and Technologies in Data Science, Upgrading Soft Skills for Computer Engineers, Conducting "Open Science": Approaches, Tools and Practices
B.Sc. in Computer Science
Thesis title: "Twitter Sentiment Analysis Using Apache Spark MLLib"
Supervisor: Dr. Zahra Narimani
Research on Machine Learning and Natural Language Processing (NLP).
GPA: 18:16/20.00 (Ranked 4/45)
Selected courses passed: Artificial Intelligence (A++), Data Structure (A++), Machine Learning and Intelligent systems (A++), Software Engineering (A+), Neural Networks (A+), Computer Networks (A)
SPARE: Shortest Path Global Item Relations for Efficient Session-based Recommendation
Andreas Peintner, Amir Reza Mohammadi, Eva Zangerle. Accepted at 17th ACM Conference on Recommender Systems 2023
HPT4Rec: AutoML-based Hyperparameter Self-Tuning Framework for Session-based Recommender Systems
Amir Reza Mohammadi, Amir Hosein Karimi, Mahdi Bohlouli, Eva Zangerle, Gunther Specht. Accepted at 34th workshop on basics of database systems (Grundlagen von Datenbanken, GvDB)
GMM-TF: Adaptive Generative Multi-Modal Framework for Trajectory Forecasting in Autonomous Vehicles
Mohammad Hossein Nazeri, Amir Reza Mohammadi, Milad Bohlouli, Mahdi Bohlouli
The Institute for Advanced Studies in Basic Sciences
Algorithm Design (Undergraduate Course) Dr.Mansoor Davoodi Monfared
Data Structure II (Undergraduate Course) Dr.Mansoor Davoodi Monfared
Supervisor: Dr. Peyman Pahlevani
Key responsibilities: Developing a video chat application based on WebRTC technology. Developing and implementing marketing strategies
Keras, PyTorch, NumPy, Pandas, scikit-learn, SciPy, scikit-learn, Matplotlib, NLTK, spacy, BeautifulSoup, Cython, IPython
STL, Qt, CUDA, OpenMP, FLTK, libcurl, Torch, CMake
Other AutoML related: TPOT, Auto-Sklearn, Auto-Keras,
Erlang, SQL, LaTeX, Git, Linux, Scrum, Matlab, Software-development(DBC & Agile), Web-development
I'm a huge fan of sports. I play golf professionally. I like camping and traveling too.