Advances in VLSI, Communication, and Signal Processing: Select Proceedings of VCAS 2019 (Lecture Notes in Electrical Engineering, 683, Band 683) - Softcover

Über die Autorin bzw. den Autor

Dr. Haranath Kar received the B.E. Degree from Bengal Engineering College in 1989, theM.Tech. Degree from the Banaras Hindu University, Varanasi, India, in 1992 and the Ph.D. Degree from the University of Allahabad, Allahabad, India, in 2000. After spending a brief period at the Defence Research and Development Organization as a Scientist B, he joined Motilal Nehru National Institute of Technology (MNNIT), Allahabad, India, as a Lecturer in 1991, where he became an Assistant Professor in 2001, Associate Professor in2006 and Professor in 2007. He spent two years with the Atilim University, Turkey (2002-2004) as an Assistant Professor. He served as the Chairman of the Senate Post-Graduate Committee at MNNIT from 2009 to 2010. He was Head of Electronics and Communication Engineering Department at MNNIT during 2013-2015. His current research interests are in digital signal processing, nonlinear dynamical systems, delayed systems, robust stability, guaranteed cost control and multidimensional systems. He is a recipient of the 2002-2003 IEE Heaviside Premium Award. He was conferred with the D.N.Agrawal Award of excellence and the Bharat Vikas Award in 2005 and 2017, respectively. He was a member of editorial board of the Mathematical Problems in Engineering. Dr. Shekhar Verma has received his BTech, MTech and PhD from IIT BHU, Varanasi. He is currently working as professor in Information Technology at Indian Institute of Information Technology Allahabad. He has published more than 100 research papers in reputed refereed International Journals and more than 80 papers in international conferences. He has supervised 20 PhD scholars and handled many R&D projects. He is a member of the “Machine Learning and Optimization Group” at IIIT Allahabad. His research interests include dimensionality reduction, Manifold regularization, Privacy Preserving Machine Learning and Deep Learning techniques. 

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