Advances in Science, Engineering and Technology (Paperback)

The objective of the conference was to provide a common platform for innovative academicians and industrial experts working in the fields of sciences, engineering, and information technology. It provided a platform for knowledge exchange and the development of new ideas on the transformative technologies of quantum computing, video analytics, Artificial Intelligence, and Machine Learning. The conference also discussed the significance of cutting-edge technologies, specifically Machine Learning, and its pivotal role in the future of science and industry.

Tasneem Ahmed received his PhD degree in Image Processing from Indian Institute of Technology (IIT) Roorkee, India in 2016. Currently, he is working as an Associate Professor in the Department of Computer Application, at Integral University Lucknow, India. His research interests include Digital Image Processing and Computer Vision, Optical and Microwave Satellite Image Processing, Image Classification, Data Fusion, Time Series Analysis, and SAR data analysis for land cover classification.

Shrish Bajpai received the B.Tech degree from Uttar Pradesh Technical University, India, in 2006, the M.Tech degree from Gautam Buddh Technical University, India in 2012, and Ph.D. degree from Dr. A.P.J. Abdul Kalam Technical University, India, in 2020. He is currently working as an Assistant Professor in the Department of Electronics and Communication Engineering, Faculty of Engineering & Information Technology, Integral University, Lucknow, Uttar Pradesh, India. His research interests are Hyperspectral Image Compression, Hyperspectral Feature Extraction, Remote Sensing & Machine Learning.

Mohammad Faisal is currently working as Professor and Head of the Department in the Department of Computer Application, Integral University, Lucknow, India. He has more than 17 years of teaching & research experience and his areas of interest are Software Engineering, Requirement Volatility, Distributed Operating System, Cyber Security, and Mobile Computing.

Suman Lata Tripathi is working as Professor in Lovely Professional University with more than 21 years of experience in academics and research. She has completed her Ph.D. in microelectronics and VLSI Design from MNNIT, Allahabad. Her area of expertise includes microelectronics device modeling and characterization, low power VLSI circuit design, VLSI design of testing, and advanced FET design for IoT, Embedded System Design, reconfigurable architecture with FPGAs and biomedical applications.