Dr. D. Jude Hemanth: “Understanding the Mystery behind Deep Learning – Deep, Deeper, Deepest”

Abstract

Deep learning has become an integral part of all automated applications, especially in the medical scenario. Literature reveals the availability of many deep learning models for disease diagnostic applications. In spite of the wide usage of these models, the research works reveal the non-availability of novel/innovative deep learning models which can improve the performance of the overall automated system. One of the significant reasons for this issue is the lack of proper understanding of the deep learning models by the budding researchers. Most of the researchers carry out experiments with standard models/softwares and report results without a proper discussion on the results. A proper understanding of the concepts will definitely lead the researchers to “out-of-box” thinking which in turn can pay the way for modified deep learning models. In this talk, the basic in-depth concepts of deep learning models will be discussed with an objective to trigger their innovative thoughts for the development of novel deep learning models. The points to be noted during practical implementations will be also discussed. Few conventional models also will be discussed along with the case study of COVID-19 detection from lung images. The details of different publicly available databases for COVID-19 images will be shared along with few experimental results/performance measures. An accuracy level in the range of 85 -90% was achived with the conventional deep learning models. These results clearly highlight the scope for improvement in the deep learning based automated systems. Few open research problems will be shared for the researchers to extend their work further if they are already working with the deep learning models. The contents of this talk are arranged in such a way that it will cater the needs of the beginners, intermediate and the expert researchers in this area. This talk will be beneficial to budding machine learning engineers, researchers working towards medical diagnostic applications and academicians.

Curriculum Vitae

Dr. D. Jude Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E. degree in communication systems from Anna University in 2006 and Ph.D. from Karunya University in 2013. His research areas include Computational Intelligence and Image processing. He has authored more than 100 research papers in reputed SCIE indexed International Journal and Scopus indexed International Conferences. His Cumulative Impact Factor is more than 130. He has published 27 edited books with reputed publishers such as Elsevier, Springer and IET. He has been serving as Associate Editor of SCIE Indexed International Journals such as Journal of Intelligent and fuzzy systems. He serves as an Editorial Board member/Guest Editor of many journals with leading publishers such as Elsevier (Soft Computing Letters), Springer (Multidimensional Systems and Signal Processing, SN Computer Science, Sensing and Imaging) and Inderscience (IJAIP, IJICT, IJCVR, IJBET). He is the series editor of “Biomedical Engineering” book series in Elsevier and “Robotics & Healthcare” book series with CRC Press. He has received a project grant with 35,000 UK Pound from Government of UK (GCRF scheme) with collaborators from University of Westminster, UK. He has also completed 1 funded research project from CSIR, Govt. of India and 1 ongoing funded project from DST, Govt. of India. He also serves as the “Research Scientist” of Computational Intelligence and Information Systems (CI2S) Lab, Argentina; LAPISCO research lab, Brazil; RIADI Lab; Tunisia and Research Centre for Applied Intelligence, University of Craiova, Romania. He has been also the organizing committee member of several international conferences across the globe such as Portugal, Romania, UK, Egypt, China, etc. He has delivered more than 100 Keynote talks/Invited Lectures in International Conferences/workshops. He holds professional membership with IEEE Technical Committee on Neural Networks (IEEE Computational Intelligence Society) and IEEE Technical Committee on Soft Computing (IEEE Systems, Man and Cybernеtics Society). Currently, he is working as Associate Professor in Department of ECE, Karunya University, Coimbatore, India.