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LAL HUSSAIN is an Assistant Professor at the Department of Computer Science & IT, University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan. He obtained his MS in Communication and Networks from Iqra University, Islamabad, Pakistan in 2012, with a gold medal. He received a Ph.D. from the Department of Computer Science & Information Technology, University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan in February 2016. He is author of more than 50 publications of highly-reputed, peer-reviewed, and Impact Fact Journals as the principal author. He completed various funded projects, such as PI and Co-PI from Ignite, ICT Pakistan and University of Jeddah, Saudi Electronic University, Kingdom of Saudi Arabia. He has presented various talks in Pakistan, the UK, Peru, and the USA. His research interests include developing and optimizing AI tools, including machine learning, deep learning and neural networks algorithms, feature extraction and selection methods, information-theoretic methods, time-frequency representation methods, and cross frequency coupling, to predict disease severity, progression, survival, and recurrence. His area of interest includes biomedical signal and image processing problems with prostate cancer, breast cancer, lung cancer, brain tumor, COVID-19 lung infection with different modalities (i.e., MRI, CT, X-Ray, etc.), brain dynamics, and diseases (i.e., autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), Alzheimer's Disease).

Research Keywords & Expertise

artificial intelligenc...
Deep Learning
Filtering
Image Processing
machine learning

Fingerprints

53%
machine learning
32%
Deep Learning
20%
artificial intelligence
6%
Image Processing
5%
Filtering
5%
image enhancement

Short Biography

LAL HUSSAIN is an Assistant Professor at the Department of Computer Science & IT, University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan. He obtained his MS in Communication and Networks from Iqra University, Islamabad, Pakistan in 2012, with a gold medal. He received a Ph.D. from the Department of Computer Science & Information Technology, University of Azad Jammu and Kashmir, Muzaffarabad, Pakistan in February 2016. He is author of more than 50 publications of highly-reputed, peer-reviewed, and Impact Fact Journals as the principal author. He completed various funded projects, such as PI and Co-PI from Ignite, ICT Pakistan and University of Jeddah, Saudi Electronic University, Kingdom of Saudi Arabia. He has presented various talks in Pakistan, the UK, Peru, and the USA. His research interests include developing and optimizing AI tools, including machine learning, deep learning and neural networks algorithms, feature extraction and selection methods, information-theoretic methods, time-frequency representation methods, and cross frequency coupling, to predict disease severity, progression, survival, and recurrence. His area of interest includes biomedical signal and image processing problems with prostate cancer, breast cancer, lung cancer, brain tumor, COVID-19 lung infection with different modalities (i.e., MRI, CT, X-Ray, etc.), brain dynamics, and diseases (i.e., autism spectrum disorder (ASD), attention-deficit/hyperactivity disorder (ADHD), Alzheimer's Disease).