ProfessorsProfessors of Aalborg UniversitetNoor Shaker

Noor Shaker

Aalborg Universitet

H-index: 29

Europe-Denmark

About Noor Shaker

Noor Shaker, With an exceptional h-index of 29 and a recent h-index of 20 (since 2020), a distinguished researcher at Aalborg Universitet, specializes in the field of Procedural content generation, player modeling, personalization, affective computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Tensor network machine learning system

A Generative deep learning approach for the discovery of SARS CoV2 protease inhibitors

A novel machine learning approach uncovers new and distinctive inhibitors for cyclin-dependent kinase 9

Machine learning based methods of analysing drug-like molecules

Noor Shaker Information

University	Aalborg Universitet
Position	Assistant Prof.
Citations(all)	3388
Citations(since 2020)	1639
Cited By	2361
hIndex(all)	29
hIndex(since 2020)	20
i10Index(all)	43
i10Index(since 2020)	33
Email	Access Email
University Profile Page	Aalborg Universitet
Google Scholar	View Google Scholar Profile

Noor Shaker Skills & Research Interests

Procedural content generation

player modeling

personalization

affective computing

Top articles of Noor Shaker

Title	Journal	Author(s)	Publication Date
Tensor network machine learning system			2021/3/18
A Generative deep learning approach for the discovery of SARS CoV2 protease inhibitors		Noor Shaker Mohamed Abou-Zleikha Mubarak AlAmri Youcef Mehellou	2020/4/23
A novel machine learning approach uncovers new and distinctive inhibitors for cyclin-dependent kinase 9	BioRxiv	Mariana Assmann Matthias Bal Michael Craig Jarryl D’Oyley Lawrence Phillips ...	2020/3/19
Machine learning based methods of analysing drug-like molecules			2020/1/23