Masoud Fatemi

Early Stage Researcher / PhD Candidate in Computer Science

Email: fatemi [at] cs [dot] uef [dot] fi

Supervisors: Prof. Pasi Fränti, Prof. Mikko Laitinen, Prof. Jonas Lundberg, and Dr. Kostiantyn Kucher.

About me:

I am Masoud Fatemi, Ph.D. candidate in Computer Science at Linnaeus University (LNU) and Univerisity of Eastern Finland (UEF). I have an M.Sc. in Computer Science - Artificial Intelligence from Isfahan University of Technology (IUT) concentrating on Machine Learning, Neural Networks, Natural Language Processing, and Graphical Models. Also, I hold B.Sc. in Software Engineering from Shahrood Univerisity of Technology (SUT). I am currently a member of Center for Data-Intensive Sciences and Applications at LNU and Machine Learning group at UEF. Before this, I was a researcher at Machine Learning and Pattern Analysis Lab at IUT supervised by Dr. Mehran Safayani and a member of Cognitive Science group at Imam Khomeini International University supervised by Prof. Abdoljavad Ahmadi.

I am broadly interested in Artificial Intelligence and interdisciplinary researches with the contribution of AI and Machine Learning. In detail, I work on Machine Learning, (Deep) Neural Networks, Natural Language Processing, and Social Networks Modeling. I am currently working under the supervision of Prof. Pasi Fränti, Prof. Mikko Laitinen, and Prof. Jonas Lundberg.

Besides, if you are a new arrival to Joensuu or UEF, do not hesitate to drop me an email and ask any questions that you might have, or if you need any further information, please let me know and feel free to contact.

Last but not least, I do some volunteer activities at JoMoni -- an NGO with the intention to promote multicultural diversity and to prevent immigrants from being discriminated against and isolated. If you are interested, please either contact me or send an email to "".

Research Interests:

  • Artificial Intelligence and Machine Learning.
  • (Deep) Neural Networks.
  • Natural Language Processing (Topic Modeling, Sentiment Analysis, Information Retrieval).
  • Social Network Modeling (Dynamic Community Detection, Information/Innovation Deffision).
  • last update: 21/09/2020