Ali Rahmati


NLP & ML Researcher

About me

I am a Natural Language Processing and Machine Learning Researcher. I have been working for almost three years at Part AI Research Center, in Tehran, doing design, analysis, and development of NLP services. I am also a member of Algorithms, Graphs, and Machine Learning Laboratory (AGM Lab) at the Amirkabir University of Technology, Tehran, Iran. I got my bachelor’s degree in Computer Engineering and master’s degree in Artificial Intelligence. I am very interested in doing research in the fields of Machine Learning, Deep Learning, NLP, and Graph Representation Learning.

Research Interests

Natural Language Processing
Deep Learning
Machine Learning
Data Science
Conversational AI
Graphs Learning


M.Sc. in Computer Engineering, Artificial Intelligence (GPA:18.64/20), Malek Ashtar University of Technology, 2018–2021  Tehran, Iran
B.Sc. in Computer Engineering, Hardware, Razi University, 2013–2018  Kermanshah, Iran

Work Experience

Senior Researcher
Algorithm, Graphs and Machine Learning Laboratory (AGM Lab)
Amirkabir University of Technology – Tehran Polytechnic

July 2022 – Current  Tehran, Iran

  • Review Classification using Graph Machine Learning
  • Intention Mining using Graph Machine Learning
NLP and Machine Learning Researcher
Part AI Research Center

May 2020 – Current  Tehran, Iran

  • FAQ Chatbot (Conversational AI)
  • Profiling Irony and Stereotype Spreader
  • Sentiment Analysis and Opinion Mining
  • Named Entity recognition
  • Natural Language Inference
  • Automatic Annotation or Article Spinner

Teaching Assistant

  • Machine Learning with Graphs, Amirkabir University of Technology – Tehran Polytechnic, September 2022 – Current  Tehran, Iran
  • Deep Learning, Malek Ashtar University of Technology, September 2019 – January 2020  Tehran, Iran
  • Machine Learning, Malek Ashtar University of Technology, January 2019 – May 2019  Tehran, Iran


  1. A. Rahmati, E. Tavan, and M. A. Keyvanrad, “Predicting contentbased political inclinations of iranian twitter users using bert and deep learning,” AUT Journal of Mathematics and Computing, 2023
  2. H. B. Giglou, M. Rahgouy, A. Rahmati, T. Rahgooy, and C. D. Seals, “Profiling irony and stereotype spreaders with encoding dependency information using graph convolutional network,” in CLEF, 2022, pp. 1613–0073.
  3. E. Tavan, A. Rahmati, M. Najafi, and S. Bibak, “Bert-dre: Bert with deep recursive encoder for natural language sentence matching,” in arXiv preprint arXiv:2111.02188, 2021.
  4. E. Tavan, A. Rahmati, and M. A. Keyvanrad, “Persian emoji prediction using deep learning and emoji embedding,” in 2020 10th International Conference on Computer and Knowledge Engineering (ICCKE), IEEE, 2020, pp. 350–355.
  5. S. Farahzad, A. Rahmati, and Z. Rahmati, “Counting closed billiard paths,” AUT Journal of Mathematics and Computing, vol. 1, no. 2, pp. 171–177, 2020.


Email: alirahmati [at-sign]