Data Visualization Trends and Challenges Toward Multidisciplinary Perception

Dr Margret Anouncia S is a Professor at Vellore Institute of Technology (VIT) University in India. She received her bachelor’s degree in Computer Science and Engineering from Bharathidasan University (1993), Tiruchirappalli, India, and master’s degree in Software Engineering from Anna University (2000), Chennai, India. She was awarded a doctorate in Computer Science and Engineering at VIT University (2008). Her main areas of interest include digital image processing, software engineering, and knowledge engineering. She is the lead author of more than 60 publications in technical journals and proceedings of national and international conferences. Dr Hardik Gohel is an assistant professor in computer science and program director of computer information system at University of Houston – Victoria, TX, USA. Postdoctoral Fellow at the Applied Research Center of Florida International University. He worked as a postdoc fellow in cybersecurity and data science atFlorida International University – Miami, FL, USA, from 2016–2019. He holds a Ph.D. in Computer Science, awarded in 2015. Dr. Gohel has extensive research experience in artificial intelligence and his research projects have involved cyber test automation and monitoring, smart bandages for wound monitoring, bigdata for security intelligence, trustworthy cyberspace for security and privacy of social media, predictive maintenance for nuclear infrastructure, and database and mobile forensics infrastructure. Dr. Gohel is also working on how to prepare quality diversified workforce with artificial intelligence in science, technology, engineering and mathematics (STEM) education.

Dr S Vairamuthu is an Associate Professor at Vellore Institute of Technology (VIT) University in India. He received bachelor’s and master’s degrees in Computer Science and Engineering from Ayya Nadar Janaki Ammal College (Autonomous), affiliated to Madurai Kamaraj University. He is the leadauthor of more than 20 publications in technical journals and proceedings of national and international conferences. His main areas of interest include human–computer interaction, recommendation systems, machine learning, big data and IoT, and computational intelligence.