Personal information

Emails & domains

Verified email addresses

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Other IDs

Scopus Author ID: 57207772867
ResearcherID: KHU-6469-2024

Countries

Pakistan, China

Biography

Salah Ud Din received the Ph.D. degree from the University of Electronic Science and Technology of China, Chengdu, China, in 2020.
He is currently serving as an Assistant Professor with the Department of Computer, COMSATS University Islamabad, Islamabad, Pakistan. His research interests focus on data stream mining, especially on data stream classification, novel class detection, and semi-supervised learning.

Activities

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Employment (4)

Zhejiang Yuexiu University: Shaoxing, CN

2024-12-23 to present | Lecturer (EIT College of Data Science and Communication)
Employment
Source: Self-asserted source
Salah Ud Din

University of Electronic Science and Technology of China: Chengdu, Huzhou, CN

2022-12-29 to 2024-09-29 | Postdoc Fellow (School of Computer Science and Engineering)
Employment
Source: Self-asserted source
Salah Ud Din

COMSATS University Islamabad: Abbottabad, Pakistan, PK

2022-04-11 to 2022-12-10 | Assistant Professor (Computer Science)
Employment
Source: Self-asserted source
Salah Ud Din

COMSATS University Islamabad: Abbottabad, Pakistan, PK

2014-01-21 to 2022-04-10 | Lecturer (Computer Science)
Employment
Source: Self-asserted source
Salah Ud Din

Education and qualifications (1)

University of Electronic Science and Technology of China - Qingshuihe Campus: Chengdu, Sichuan, CN

2017-09-15 to 2020-12-23 | PhD (School of Computer Science and Engineering)
Education
Source: Self-asserted source
Salah Ud Din

Peer review (19 reviews for 12 publications/grants)

Review activity for Cluster computing. (1)
Review activity for Evolutionary intelligence. (1)
Review activity for Expert systems with applications. (3)
Review activity for Information fusion. (1)
Review activity for Information processing & management. (2)
Review activity for Information processing and management. (3)
Review activity for Information sciences. (2)
Review activity for Information sciences. (1)
Review activity for International journal of data science and analytics. (2)
Review activity for Knowledge and information systems. (1)
Review activity for Machine learning. (1)
Review activity for Pattern recognition. (1)
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