Hassan Shahmohammadi

Hassan Shahmohammadi

PhD candidate at University of Tuebingen & IMPRS-IS

University of Tuebingen

IMPRS-IS

Cyber Valley

Biography

I am currently a PhD candidate at the University of Tuebingen supervised by professors Hendrik P. A. Lensch and R. Harald Baayen doing interdisciplinary research in the area of natural language processing and computer vision. My project focuses on bridging language with vision. More specifically, I am working on language grounding to vision where I try to inform the language models about the real world through vision to achieve more efficient and more cognitively plausible language models. In this line of research, I am interested in other multimodal tasks such as visual QA and image/video captioning where knowledge of both modalities is required.
My free time is mainly occupied by doing sports, making handcrafts, and learning new languages. Feel free to browse around to find out more about me.

Interests
  • Deep Learning
  • Natural Language Processing
  • Multimodal learning
Education
  • MSc in Computer Science (AI)

    University of Bu-Ali Sina

  • PhD in Computer Science (ML & NLP)

    University of Tuebingen

Experience

 
 
 
 
 
University of Tuebingen
PhD in Computer Science (ML & NLP)
Jan 2020 – Present Germany
Thesis Topic: Language Grounding to Vision
 
 
 
 
 
parscoders
Programmer
Aug 2017 – Aug 2019 Iran

Specialized in:

  • Machine learning basics
  • Text classification & Semantic word/sentence embeddings
  • Object detection & Text-image retrieval
 
 
 
 
 
University of Bu-Ali Sina
MSc in Computer Science (AI)
University of Bu-Ali Sina
Sep 2016 – Jan 2019 Iran
Thesis Topic: Paraphrase Detection Using Deep Learning Techniques.

Publications

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(2022). Visual grounding of abstract and concrete words: A response to Günther et al. (2020).

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(2022). Language with Vision: a Study on Grounded Word and Sentence Embeddings.

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(2021). Learning Zero-Shot Multifaceted Visually Grounded Word Embeddingsvia Multi-Task Training. In CoNLL.

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(2020). Paraphrase detection using LSTM networks and handcrafted features. Multimedia Tools and Applications.

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(2018). An Extensive Comparison of Feature Extraction Methods for Paraphrase Detection. ICCKE.

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Hobbies

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.js-id-art
Art & Handcrafts
A way to bring your imagination into reality.
Art & Handcrafts
Sports
Bouldering, Biking, General Fitness.
Sports

Recent Posts

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