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Nasir Ayub

Dr. Nasir Ayub

National University of Science and Technology (NUST), Islamabad

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Nasir Ayub pursued a Ph.D. in Computer Science specializing in Blockchain at the School of Electrical Engineering and Computer Science, National University of Science and Technology, Islamabad, Pakistan. He completed his M.S. Degree in Smart Grid and Data Science at COMSATS University Islamabad, Pakistan. Nasir has held teaching positions as a Lecturer and Senior Lecturer at various universities in Pakistan, including COMSATS, FUUAST, CUST, and NUST. Currently, Nasir is working as a lecturer at the Department of Creative Technologies, Air University Islamabad, Pakistan. His research interests include Smart Grid, Information Security, Machine Learning, Deep Learning, Natural Language Processing, and Blockchain technology. Nasir is an active reviewer for prestigious journals such as IEEE Access, Elsevier, MDPI, and Springer.

Research Keywords & Expertise

Sentiment Analysis
Smart Grid
Machine and Deep Learn...
Natural Language Proce...
Smart grid and microgr...

Fingerprints

30%
Smart Grid
30%
Smart grid and microgrid
6%
Sentiment Analysis
5%
Machine and Deep Learning
5%
Natural Language Processing , Machine Learning, Deep Learning

Short Biography

Nasir Ayub pursued a Ph.D. in Computer Science specializing in Blockchain at the School of Electrical Engineering and Computer Science, National University of Science and Technology, Islamabad, Pakistan. He completed his M.S. Degree in Smart Grid and Data Science at COMSATS University Islamabad, Pakistan. Nasir has held teaching positions as a Lecturer and Senior Lecturer at various universities in Pakistan, including COMSATS, FUUAST, CUST, and NUST. Currently, Nasir is working as a lecturer at the Department of Creative Technologies, Air University Islamabad, Pakistan. His research interests include Smart Grid, Information Security, Machine Learning, Deep Learning, Natural Language Processing, and Blockchain technology. Nasir is an active reviewer for prestigious journals such as IEEE Access, Elsevier, MDPI, and Springer.