Hadi Abdi Khojasteh

Main Research Interests

• Machine Learning
• Deep Learning
• Multimodal Learning
• Visual Reasoning

Curriculum Vitae

• 2020 - Present   PhD Candidate in Computational Linguistics; Institute of Formal and Applied Linguistics, Computer Science School, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic
  • Thesis title: Neural Methods for Information Retrieval advised by doc. RNDr. Pavel Pecina, Ph.D.
     
• 2019   Scholar at School of Artificial Intelligence; Pi Campus, Rome, Italy
  • Contributed to a project presented by Octo Telematics, developing AI-based business solution collaborated with advisors from MIT, CMU, KIT, University of Cambridge and Google, Facebook, Amazon companies in this programme.
     
• 2016 - 2019   Master of Science (MSc) in Computer Science, Intelligent Systems; Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences, Zanjan, Iran
  • Thesis title: Automatic Image Description Generation Using Deep Multimodal Embeddings
     
• 2019   Visiting Researcher; Aristotle University of Thessaloniki, Thessaloniki, Greece
  • Studied as an EU funded Erasmus+ project in partnership with Vienna University of Technology, University of Bonn, Aristotle University of Thessaloniki and 9 other partners and universities.
     
• 2012 - 2016   Bachelor of Engineering (BEng) in Information Technology Engineering; Department of Computer Science and Information Technology, Institute for Advanced Studies in Basic Sciences, Zanjan, Iran
  • Thesis title: A Survey on patch-based synthesis: GPU Implementation and Optimization

 

Selected Bibliography

• Hadi Abdi Khojasteh, Ebrahim Ansari, Mahdi Bohlouli (2020): LSCP: Enhanced Large Scale Colloquial Persian Language Understanding. In: Proceedings of the 12th International Conference on Language Resources and Evaluation (LREC 2020), pp. 6325-6329, European Language Resources Association, Marseille, France, ISBN 979-10-95546-34-4 (url, bibtex, web)
   
• Hadi Abdi Khojasteh, Ebrahim Ansari, Parvin Razzaghi, Akbar Karimi (2020): Deep Multimodal Image-Text Embeddings for Automatic Cross-Media Retrieval. In: arXiv e-prints:2002.10016 [cs.IR] (url, bibtex)
   
• Hadi Abdi Khojasteh, Alireza Abbas Alipour, Ebrahim Ansari, Parvin Razzaghi (2020): An Intelligent Safety System for Human-Centered Semi-autonomous Vehicles. In: Data Science: From Research to Application. Lecture Notes on Data Engineering and Communications Technologies (LNDECT), vol 45., pp. 322-336, Springer, Cham., Nature Switzerland AG, ISBN 978-3-030-37308-5 (url, bibtex, web)
   

ORCID iD: 0000-0002-5998-3529