CIE Dept. presents Seminar on "Shallow and Deep Learning Algorithms and Applications" by Dr Mohd Tanveer, Professor of Mathematics, Indian Institute of Technology, on Sunday, 20 OCT 2024, at 2PM, in Bld. 22 Room 134.

Abstract:

With the explosive growth in technology, the amount and the variety of data has grown tremendously leading to new challenges in classification scenarios. Support vector machine (SVM) algorithm is considered one of the most popular classification paradigms in machine learning owing to its strong mathematical background, and has lately faced criticism due to its limitations such as unscalability, high time complexity and sensitivity to feature and label noise. Over the past decade, several advancements have been made such as twin SVM and variants which led to significant improvements in terms of fast learning speed, ease of implementation and ability to capture diversity among classes. These models have attracted considerable research attention due to promising results shown in the various real-world applications including Image Retrieval, Computer Vision, Financial Regression, Biomedical Analysis etc. However, there have emerged new challenges along with the existing ones such as high dimensionality in kernel implementations, need for large training data and sensitivity to outliers.

Moreover, we explore ensemble deep learning techniques for improving Alzheimer's disease diagnosis. By combining multiple neural networks, these methods enhance accuracy in classification and prediction of the disease, offering promising advancements in predictive healthcare and facilitating earlier, more reliable interventions. This talk aims to provide insights into the interplay between shallow and deep learning techniques and their transformative impact on healthcare challenges.

About the Speaker:

Dr. M. Tanveer is a Professor and Ramanujan Fellow at the Department of Mathematics, Indian Institute of Technology Indore. Previously, he was a Postdoctoral Research Fellow at the Rolls-Royce @ NTU Corporate Lab, Nanyang Technological University, Singapore. His research interests encompass support vector machines, optimization, machine learning, deep learning, and applications to Alzheimer's disease and dementia. Tanveer has published over 150 refereed journal papers with more than 7,300 citations and an h-index of 41 (Google Scholar, October 2024). He was recently recognized as one of the world’s top 2% scientists in a Stanford University study. He has served on review boards for over 100 scientific journals and participated in various national and international scientific committees. He is the recipient of the INNS Aharon Katzir Young Investigator Award for 2024, IIT Indore Excellence in Research Award for 2023, Asia Pacific Neural Network Society Young Researcher Award for 2022, and the 29th ICONIP and IJCNN 2024 Best Research Paper Awards for 2022 and 2024 respectively. He has held editorial roles for several journals, including IEEE Transactions on Neural Networks and Learning Systems, Pattern Recognition, Neural Networks, and Neurocomputing. Additionally, he has served as Guest Editor for special issues of various journals and co-edited a book on machine intelligence and signal analysis. Tanveer has organized numerous international and national conferences and symposiums as General Chair or Organizing Chair, and has delivered keynote talks at various events. He is/was the Principal Investigator (PI) or Co-PI of 12 major research projects funded by the Government of India. He is also an elected member of the Board of Governors of the Asian Pacific Neural Network Society (APNNS) and an INSA Associate Fellow, recently awarded the prestigious INSA Distinguished Lecture Award for 2024.