Hi, I’m Sajjad Kamali Siahroudi.
I am a researcher at L3S research center, LEIBNIZ University. My research topic is to use Machine Learning methods for reinforcment learning.

Psyncgan for Data Generation Application of Partially Syncronized GAN to Image and Caption Data Generation.
Kovtun Valery, Sajjad Kamali Siahroudi , Wei Gang. In Proceedings of International Conference on Advances in Image Processing, 2019.

Concept-evolution detection in non-stationary data streams: a fuzzy clustering approach.
Poorya ZareMoodi, Sajjad Kamali Siahroudi, Hamid Beigy. Knowledge and Information Systems, 2019.

Detection of evolving concepts in non-stationary data streams: A multiple kernel learning approach.
Sajjad Kamali Siahroudi,Poorya Zare Moodi, Hamid Beigy. Expert Systems With Applications, 2018.

A Support Vector Based Approach For Classification Beyond the Learned Label Space in Data Streams.
Sajjad Kamali Siahroudi, Poorya ZareMoodi,Hamid Beigy. In Proceedings of ACM SAC, 2016.

Novel Class Detection in Data Streams Using Local Patterns and Neighborhood Graph.
Poorya ZareMoodi, Hamid Beigy, Sajjad Kamali Siahroudi . Neurocomputing, 2015.

Multi-label Classification Using Classes Dependency and Estimating The Number Of Labels.
Sajjad Kamali Siahroudi,Hamid Beigy. In Proceedings of 11th Intelligent Systems Conference, 2012.

About


My research topic is hierarchical reinforcement learning and simultaneously, I am working on some industrial projects.
Befor this, I was working as senior developer in an R&D department in China. I got my MSc degree in computer sience from Tsinghu university (2016-2018), and MSc degree in software engineering from Sharif university of technology(2010-2012).
My research interests are including reinforcement learning, deep learning, statistical machine learning algorithms, stream data mining, Multi-label data classification, graph theory and IoT.

Email:
kamaliatl3s.de

University Address:
LEIBNIZ UNIVERSITÄT
Appelstraße 4, 2 floor,
Room 228
Hannover
Germany