Josef Dick
researcher ORCID ID = 0000-0003-0142-6022
Facts
16 properties- Instance of
- human
- Date of birth
- 1974
- Occupation
- mathematician, university teacher, statistician
- Employer
- University of New South Wales[8]
- Field of work
- mathematics, statistics[6][7]
- Educated at
- University of New South Wales[9]
- Award received
- Christopher Heyde Medal[12]
- Official website
- web.maths.unsw.edu.au[18]
- Doctoral advisor
- Ian Sloan, Robert Spencer Womersley[10][11]
- Doctoral student
- Robert Nicholas Gantner, Lukas Benedikt Herrmann[14][15]
- Languages spoken, written or signed
- English
- Maintained by WikiProject
- WikiProject Mathematics
🏷️ Also known as
en J. Dick
en Josef Dick
🔖 Identifiers · 11
- ORCID iD
- 0000-0003-0142-6022
- VIAF cluster ID
- 88529818
- DBLP author ID
- 96/639
- Dimensions author ID
- 011066102312.14
- IdRef ID
- 163648328
- J9U entity ID
- 987007369703505171
- MR Author ID
- 735535
- Mathematics Genealogy Project ID
- 113460
- NL CR AUT ID
- osd2015889333
- Scopus author ID
- 7201749418
- ZbMATH author ID
- dick.josef
🔗 Connections
Author of 5
A Machine Learning Approach to Defect Parameters Extraction: Using Random Forests to Inverse the Shockley-Read-Hall Equation,
Component-by-component construction of randomized rank-1 lattice rules achieving almost the optimal randomized error rate,
Computationally efficient Bayesian estimation of high-dimensional Archimedean copulas with discrete and mixed margins,
Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus,
Extracting bulk defect parameters in silicon wafers using machine learning models
← Authored by 5
A Machine Learning Approach to Defect Parameters Extraction: Using Random Forests to Inverse the Shockley-Read-Hall Equation,
Component-by-component construction of randomized rank-1 lattice rules achieving almost the optimal randomized error rate,
Computationally efficient Bayesian estimation of high-dimensional Archimedean copulas with discrete and mixed margins,
Deep Learning Based Unsupervised and Semi-supervised Classification for Keratoconus,
Extracting bulk defect parameters in silicon wafers using machine learning models
Affiliated with 1
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Summary
Josef Dick was born in 1974[1]. He worked as a mathematician[2], university teacher[3], and statistician[4].
Body
Education
Doctoral advisors include Ian Sloan[10], a mathematician[19], b. 1938[20], of Australia[21], awarded the Centenary Medal[22] and Robert Spencer Womersley[11], an applied mathematician[23], b. 1954[24].
Career and Affiliations
Fields of work include mathematics[6], an academic discipline[25] and statistics[7], an academic major[26]. Doctoral students include Robert Nicholas Gantner[14], a computer scientist[27], b. 1987[28] and Lukas Benedikt Herrmann[15].
FAQs
What did Josef Dick do for work?
Josef Dick worked as mathematician[2], university teacher[3], and statistician[4].
Where did Josef Dick go to school?
Josef Dick was educated at University of New South Wales[9].
What awards did Josef Dick receive?
Honors received include Christopher Heyde Medal[12].