Biography
Professor Dr. Dewan Md. Farid
Professor of Computer Science & Engineering
United International University, Bangladesh
Email: dewanfarid@cse.uiu.ac.bd
https://scholar.google.com/citations?user=005Zi1sAAAAJ&hl=en
Title: Deep Learning in Data Science and Image Classification
Abstract
Deep learning (DL) is a sub-set of machine learning (ML) to extract patterns from big data using artificial neural networks. An artificial neural network (ANN) is the piece of a computing system designed to simulate the way the human brain analyses and processes information. It is the foundation of artificial intelligence (AI) and solves problems that would prove impossible or difficult by human or statistical standards. Traditional ML algorithms define a set of features in the data. Generally, these features are hand engineered. The key idea of DL is to learn these features directly from data. Hand-engineering features are time consuming, brittle, are not scalable in practice. So, DL is a form of machine learning where a model has multiple layers of neurones. In this workshop, we will lucidly cover the following topics: (1) Deep Learning: Building Neural Networks, (2) Understanding Loss Functions, (3) Empirical Risk Minimisation, (4) Gradient Descent and Stochastic Gradient Descent Algorithms, (5) Convolutional Neural Network (CNN), (6) Recurrent Neural Network (RNN), and (7) Long Short-Term Memory (LSTM). This tutorial will give hands-on training using Python programming language for solving pragmatic data science and image classification problems. Also, it will cover both theories and hands-on tutorials.
General Terms
Artificial Neural Network (ANN), Convolutional Neural Network (CNN), Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM).
Biography
Prof. Dr. Dewan Md. Farid is a Professor in the Department of Computer Science and Engineering at United International University, Bangladesh. He worked as a Postdoctoral Fellow/Staff at the following research labs/groups: (1) Computational Intelligence Group (CIG), Department of Computer Science and Digital Technology, University of Northumbria at Newcastle, UK in 2013, (2) Computational Modelling Lab (CoMo) and Artificial Intelligence Research Group, Department of Computer Science, Vrije Universiteit Brussel, Belgium in 2015-2016, and (3) Decision and Information Systems for Production systems (DISP) Laboratory, IUT Lumière– Université Lyon 2, France in 2020. Prof. Farid was a Visiting Faculty at the Faculty of Engineering, University of Porto, Portugal in June 2016. He holds a PhD in Computer Science and Engineering from Jahangirnagar University, Bangladesh in 2012. Part of his PhD research has been done at ERIC Laboratory, University Lumière Lyon 2, France by Erasmus-Mundus ECW eLink PhD Exchange Program. He has published 93 peer-reviewed scientific articles, including 29 journal papers in the field of Machine Learning, Data Mining and Big Data. Prof. Farid received the following awards: (1) JuliaCon 2019 Travel Award for attending Julia Conference at the University of Maryland, Baltimore, USA, and (2) United Group Research Award 2016 in the field of Science and Engineering. He received a2i Innovation Fund of Innov-A-Thon 2018 (Ideabank ID No.: 12502) from a2i-Access to Information Program – II, Information and Communication Technology (ICT) Division, Government of the People’s Republic of Bangladesh. Prof. Farid received the following Erasmus Mundus scholarships: (1) LEADERS (Leading mobility between Europe and Asia in Developing Engineering Education and Research) to undertake a staff level mobility at the Faculty of Engineering, University of Porto, Portugal in 2015, (2) cLink (Centre of excellence for Learning, Innovation, Networking and Knowledge) for pursuing Postdoc at University of Northumbria at Newcastle, UK in 2013, and (3) eLink (east west Link for Innovation, Networking and Knowledge exchange) for pursuing Ph.D. at University Lumière Lyon 2, France in 2009. Prof. Farid also received Senior Fellowship I and II awards by National Science & Information and Communication Technology (NSICT), Ministry of Science & Information and Communication Technology, Government of the People’s Republic of Bangladesh respectively in 2008 and 2011 for pursuing Ph.D. at Jahangirnagar University. He is a member of IEEE.