Selçuk Candan
Turkish academic
Facts
15 properties- Instance of
- human
- Occupation
- computer scientist, researcher
- Employer
- Arizona State University[5]
- Educated at
- University of Maryland[6]
- Official website
- aria.asu.edu[13]
- Doctoral advisor
- V. S. Subrahmanian[7]
- Doctoral student
- Parth Nagarkar[9]
- Different from
- Selçuk Candan[16]
- Name in native language
- Selçuk Candan[15]
🏷️ Also known as
en Kasim Selçuk Candan
en Selçuk Candan
🔖 Identifiers · 14
- ISNI
- 0000000037541100
- ORCID iD
- 0000-0003-4977-6646
- VIAF cluster ID
- 15875126
- GND ID
- 130344710
- OpenAlex ID
- A5003070145, A5123741809, A5126088029, A5129436170, A5129835135, A5133019435, A5135375973, A5137064742as 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
- 81313483426
- Academic Tree ID
- 417094
- DBLP author ID
- c/KSelcukCandan
- DDB person (GND) ID
- 130344710
- Google Scholar author ID
- keO-0s0AAAAJ
- IEEE Xplore author ID
- 38557566500
- Mathematics Genealogy Project ID
- 1288
Show all 14 identifiers +2
- NUKAT ID
- n2015008304
- National Library of Israel J9U ID
- 987007442532005171
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 8
2PCP: Two-phase CP decomposition for billion-scale dense tensors,
An entropy-based causality framework for cross-level faults diagnosis and isolation in building HVAC systems,
Causal Disentanglement for Implicit Recommendations with Network Information,
Compressed spatial hierarchical bitmap (cSHB) indexes for efficiently processing spatial range query workloads,
Evaluation Methods and Measures for Causal Learning Algorithms,
Generalized Ordinal Learning Framework (GOLF) for Decision Making with Future Simulated Data,
IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data,
Real vs. simulated: Questions on the capability of simulated datasets on building fault detection for energy efficiency from a data-driven perspective
← Authored by 8
2PCP: Two-phase CP decomposition for billion-scale dense tensors,
An entropy-based causality framework for cross-level faults diagnosis and isolation in building HVAC systems,
Causal Disentanglement for Implicit Recommendations with Network Information,
Compressed spatial hierarchical bitmap (cSHB) indexes for efficiently processing spatial range query workloads,
Evaluation Methods and Measures for Causal Learning Algorithms,
Generalized Ordinal Learning Framework (GOLF) for Decision Making with Future Simulated Data,
IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data,
Real vs. simulated: Questions on the capability of simulated datasets on building fault detection for energy efficiency from a data-driven perspective
Affiliated with 2
Occupation 2
Country of citizenship 1
Doctoral advisor 1
Doctoral advisors 1
Educated at 1
Employer 1
Instance of 1
Languages spoken, written or signed 1
Native language 1
Sex or gender 1
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