The 14th International Conference on Intelligent Human Computer Interaction (IHCI-2022)
October 20th-22nd, 2022. Hybrid Event: In-person and Virtual
Tashkent, Uzbekistan
Mathematics is at the core of machine learning. The aim is to provide a platform for mathematicians to share and exchange their research and ideas with the practitioners in machine learning. This tutorial invites papers on various mathematical topics related to machine learning, such as optimization, probability, statistics, tensors, numerical mathematics, signal processing, system theory, analysis, topology, graph theory, etc
Multidimensional data can be represented as a tensor or multi-array, or multi-linear functionals without losing any information. Mathematically, tensors are a generalization of the concepts of scalars, vectors, and matrices.
Tensors occur naturally in this world, just like scalars, vectors, and matrices, with many video and machine learning applications. This tutorial focuses on the mathematical fundamentals of tensors and their application in data compression and machine learning.
Bio: Dr. Hanumant Singh Shekhawat is working at the Indian Institute of Technology Guwahati as an Assistant Professor in the Department of Electronics and Electrical Engineering. He did his postdoc at the Department of Electrical Engineering, Eindhoven University of Technology, and The Netherlands. His research was on multi-linear data (tensor) reduction techniques, which have applications in video/speech processing, MRI, and (higher dimensional) data analysis. He completed his Ph.D. in Nov 2012, from the Department of Applied Mathematics, the University of Twente, The Netherlands. His research was related to optimization problems in sampling and interpolation. He has completed his master’s (in 2004) from the Department of Electrical engineering and his bachelor’s in Electronics and communication engineering (in 2002) from the Indian Institute of Technology Bombay and Rajasthan University in India, respectively. After the master’s degree, he worked in Texas Instruments India and Sasken Communications India for around four years in the area of electronics, software, and algorithm development. He had a visiting faculty position at the University of Pardubice, the Czech Republic from May to June 2019. Currently, his work is related to problems in radar, tensor, speech, signals, and systems.
Bio: Shodhan Rao is an Associate Professor of Applied Mathematics/ Director of Research Center for Biosystems and Biotech Data Science at Ghent University Global Campus (GUGC), Incheon, South Korea. He is also a part-time (10%) Professor with the Department of Mathematical Modelling and Data Analysis at Ghent University’s main campus. He is currently pursuing research on stability, parameter estimation and model reduction of biochemical reaction networks, validity conditions of quasi-steady-state approximations, and the dynamics of competition network models in ecology. His research interests are in the areas of chemical reaction network theory, systems biology, and mathematical ecology.
Bio: Dr. Vivek Deshpande holds a Bachelor’s and Masters of Engineering in Electronics & Telecommunications from Pune University and a Doctorate from Nagpur University, India. He Has got 31 years of experience comprises of Industry and academia as well. Currently, Dr. Vivek is a Director at Vishwakarma Institute of Information Technology, VIIT, Pune. He worked in VIT, Pune as a Professor and Head of the Computer Engineering Department. He is doing his research in Wireless Sensor Networks, embedded systems, IoT, Industry 4.0, High-Performance Computer Networks, and AI Machine learning as well. Dr. Vivek worked on his Post-Doctoral Research Fellowship from The Technical University of Sofia, Bulgaria, Europe. He published more than 70 papers in international journals and conferences of repute. He filed 24 Indian patents, and all are published now. Dr. Vivek is working on many research projects which tackle more social and industrial problems. Vivek is a Senior Member of IEEE, Pune Section (R10, India). He chairs the Education Society and Industry Relations for Pune Chapter. He is also the Chair of the conference committee of the Pune Chapter. Dr. Vivek recently developed a Wireless Network Lab in Pune. This lab is now converted into the Center of Excellence for IoT. There are three verticals namely e-Health, Precision Agriculture and Smart City targeted in this COE. Dr. Vivek is also an active member of the IP Lab, where industry automation collaborates with Artificial intelligence and machine learning technology.