Prof. Tahir Mehmood

School of Natural Sciences (SNS)
National University of Science and Technology (NUST),
Islamabad,Pakistan.

Short Bio: Prof. Dr. Tahir Mehmood has done his PhD in Statistics from Norwegian University of Life Sciences (NMBU). He is currently working as Professor at School of Natural Sciences, National University of Science and Technology (NUST), Islamabad, Pakistan. In October 2022 he was listed among Word’s top 2% Scientists issued by Elsevier. In August 2021 he was listed in NUST’s top 50 scientists. He has vast teaching and research experience. Research interest includes data mining, analysis and modelling the real-life process.

Keynote Topic: Machine Learning and its Applications

The enhancement in technology is producing the modern data sets, where the role of Statistical learning is getting enhanced. Statistical learning is a framework for understanding data based on statistics, which can be classified as supervised or unsupervised. In supervised learning the statistical model is trained with objective to predict the test data, hence this area covers the regression and classification-based problems. While in unsupervised learning where statistical model is not trained over the data but is used to structure and sturdy the variation, this area is covers the clustering and dimension reduction problems. In modern data sets, it mostly happen to have massive amount of information in the form of multiple variables per object, where traditional statistical methods gets failed. Modern statistical learning methods are devised for high-throughput data. The use of statistical learning in different fields has been increased in recent years to solve the variety of problems. This work will introduce the audience with statistical learning, modern development of methods together with their applications covering genomics, chemometrics, neuroinformatics, industrial process, computer vision, econometric, environmental studies, and so on.