In recent years, several improved variations of SVM have been proposed by researchers. One of them has gained the attention of most of the researchers is Twin Support Vector Machine (TWSVM). TWSVM generates two nonparallel hyperplanes in which each of the hyperplanes is close to one of the two classes and as far as possible from the other class. The difference between SVM and TWSVM is that in SVM we solve only one QPP whereas in TWSVM we solve a pair of QPPs. It is considered that the Universum data lies between the two classes and does not belong to any of the classes. So, in this presentation, we will discuss the novel approach i.e. Universum based Twin support vector machine (UTSVM) which is based on Universum data and their applications.

Dr Deepak Gupta is an Assistant Professor at the Department of Computer Science & Engineering of National Institute of Technology Arunachal Pradesh. He received a PhD degree in Computer Science & Engineering from the Jawaharlal Nehru University, New Delhi, India. His research interests include support vector machines, ELM, RVFL, KRR and other machine learning techniques. He has published over 50 referred journal and conference papers of international repute. His publications have around 439 citations with an h-index of 12 and i10-index of 14 (Google Scholar, 27/05/2021). He is currently the member of an editorial review Board member of Applied Intelligence. He is the recipient of the 2017 SERB-Early Career Research Award in Engineering Sciences which is the prestigious award of INDIA at early career level. He is a senior member of IEEE and currently an active member of many scientific societies like IEEE SMC, IEEE CIS, CSI and many more. He has served as a reviewer of many scientific journals and various national and international conferences. He is the General Chair of the upcoming 3rd International Conference on Machine Intelligence and Signal Processing (MISP-2021) and associated with other conferences like IEEE SSCI, IEEE SMC, IJCNN, BDA 2021 etc. He has supervised one PhD student and currently, 5 PhD students are enrolled under him. He is currently the Principal Investigator (PI) or Co-PI of 03 major research projects funded by the Science & Engineering Research Board (SERB), Government of India.