Jurn Park, PhD

Assistant Professor

Assistant Professor, School of Engineering and Digital Sciences, Department of Computer Science

Emailjurn.park@nu.edu.kz

Source: Scopus
Calculated based on no. of publications stored in Pure and citations from Scopus

Research activity per year

If you made any changes in Pure these will be visible here soon.

Personal profile

External positions

Fingerprint

Dive into the research topics where Jurn Park is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

6 Similar Profiles

Network

Recent external collaboration on country level. Dive into details by clicking on the dots or

Machine Learning Enhanced Model Selection Methodologies and Optimization of Deep Learning (DL) Inference for accuracy, inference time and energy on Mobile and Embedded Systems
Park, J.
Project: Monitored by Research Administration

196 Citations
4 h-Index
3 Article
1 Review article

Five insights from the Global Burden of Disease Study 2019
GBD 2019 Viewpoint Collaborators, Oct 17 2020, In: The Lancet. 396, 10258, p. 1135-1159 25 p.
Research output: Contribution to journal › Review article › peer-review
22 Citations (Scopus)
Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019
GBD 2019 Demographics Collaborators, Oct 17 2020, In: The Lancet. 396, 10258, p. 1160-1203 44 p.
Research output: Contribution to journal › Article › peer-review

Open Access
33 Citations (Scopus)
Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
GBD 2019 Diseases and Injuries Collaborators, Oct 17 2020, In: The Lancet. 396, 10258, p. 1204-1222 19 p.
Research output: Contribution to journal › Article › peer-review

Open Access
80 Citations (Scopus)
Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019
GBD 2019 Risk Factors Collaborators, Oct 17 2020, In: The Lancet. 396, 10258, p. 1223-1249 27 p.
Research output: Contribution to journal › Article › peer-review

Open Access
61 Citations (Scopus)

External positions

Machine Learning Enhanced Model Selection Methodologies and Optimization of Deep Learning (DL) Inference for accuracy, inference time and energy on Mobile and Embedded Systems

Five insights from the Global Burden of Disease Study 2019

Global age-sex-specific fertility, mortality, healthy life expectancy (HALE), and population estimates in 204 countries and territories, 1950–2019: a comprehensive demographic analysis for the Global Burden of Disease Study 2019

Global burden of 369 diseases and injuries in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019

Global burden of 87 risk factors in 204 countries and territories, 1990–2019: a systematic analysis for the Global Burden of Disease Study 2019