Mostafa Dehghani
Ph.D. Universiteit van Amsterdam 2020
Facts
9 properties- Instance of
- human
- Occupation
- artificial intelligence researcher
- Educated at
- University of Amsterdam[2]
- Doctoral advisor
- Jaap Kamps, David B. Rosen[3][4]
- Affiliation
- Google Research[8]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Mostafa Dehghani
🔖 Identifiers · 11
- ISNI
- 0000000493380347
- ORCID iD
- 0000-0002-9772-1095
- VIAF cluster ID
- 235158790650838851170
- OpenAlex ID
- A5102906366as of 2026-09-23
where from?
- Source
- OpenAlex
- Edition
- 20260923 · as of 2026-09-23
- Licence
- CC0 1.0 Universal
- Bronze
- not in the catalog
- Transform
- 4ort-mint · openalex:20260923 · version not recorded
- ACM Digital Library author ID
- 81554276156
- DBLP author ID
- 125/4062
- Google Knowledge Graph ID
- /g/11qnrnp_kn
- Google Scholar author ID
- MiHOX3QAAAAJ
- IEEE Xplore author ID
- 37087030623
- Mathematics Genealogy Project ID
- 257125
- ResearchGate contributions ID
- 2047353570
📚 Sources · 1
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 17
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,
Are Pretrained Convolutions Better than Pretrained Transformers?,
DSI++: Updating Transformer Memory with New Documents,
Expert finding by the Dempster‐Shafer theory for evidence combination,
From Neural Re-Ranking to Neural Ranking,
From Neural Re-Ranking to Neural Ranking Learning a Sparse Representation for Inverted Indexing,
Frozen Feature Augmentation for Few-Shot Image Classification,
Learning to rank for multi-label text classification: Combining different sources of information
+9 more
← Authored by 17
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale,
Are Pretrained Convolutions Better than Pretrained Transformers?,
DSI++: Updating Transformer Memory with New Documents,
Expert finding by the Dempster‐Shafer theory for evidence combination,
From Neural Re-Ranking to Neural Ranking,
From Neural Re-Ranking to Neural Ranking Learning a Sparse Representation for Inverted Indexing,
Frozen Feature Augmentation for Few-Shot Image Classification,
Learning to rank for multi-label text classification: Combining different sources of information
+9 more
Affiliated with 5
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Summary
Mostafa Dehghani worked as an artificial intelligence researcher[1].
Body
Education
Doctoral advisors include Jaap Kamps[3], a researcher[9], b. 1967[10] and David B. Rosen[4].
FAQs
What did Mostafa Dehghani do for work?
Mostafa Dehghani worked as artificial intelligence researcher[1].
Where did Mostafa Dehghani go to school?
Mostafa Dehghani was educated at University of Amsterdam[2].