Special Session on
Data Analytics and Visualization

Aim and Scope

Data analytics is essential to understand trends and patterns from the massive amounts of data that are being collected from different resources. It helps to optimize business performance, forecast future results, understand audiences, and reduce costs. At present hundreds of terabyte data is generated every day. Almost all kinds of business sectors like finance, medical, education, marketing, etc. depend on data analytics to take the faster and more accurate decisions, predictions, and forecasting for business growth. Analyzing the present data analysis with the diverse nature of data is a challenge as well as an opportunity for industries and academia over the next few years. Data visualization has become a critical part of business analytics and business communications. Data visualization tools and techniques help to present the analytics as impressive, easy, effective, and efficient. Without visualization, the numbers and statistics of analytics are difficult to interpret and draw knowledge from data. The presence of big data, with the increasing volume, verity, and velocity of data, needs visualization techniques to compress large volumes into effective presentations, which helps strategic decision-making.

We invite original research articles (including review papers) for the ICETCI 2024 special track on Data Analytics and Visualization. Submissions in and around following areas of research (not exhaustive) revolving around special track are invited. Papers that do not necessarily fall into one of these categories but have a coverage of the proposed track will also be considered.

  • Tools, frameworks, and mechanisms for data analytics
  • Open API for data analytics
  • Analytics visualization
  • Multi-modal support for data analytics
  • High-performance data analytics
  • Business analytics
  • Malware analytics
  • Cyber-threats analytics
  • Geology analytics
  • Healthcare analytics
  • Biomedical visualization
  • Exploratory data visualization and analysis
  • Geographic visualization
  • Web Analytics
  • Graph visualization
  • Multi-dimensional or Multivariate data visualization
  • Small-screen visualization
  • Glyph-Based Visualization
  • High-performance computing and visualization
  • Information visualization
  • Scientific visualization
  • Volume and flow visualization
  • Deep learning for scientific data analysis and visualization

Paper Submission

Potential authors may submit their manuscripts for presentation consideration through ICETCI 2024 submission system electronically at , following the conference guidelines. All submissions will go through peer review process. To submit your paper to this special session, you have to choose our special session title on the submission page.

Important Dates

Paper submission deadline: Mar 23, 2024
Apr 15, 2024
Paper acceptance notification date: Jun 20, 2024
Final paper submission and early registration deadline: Jun 30, 2024


Dr. Aprna Tripathi
Associate Professor
Department of Data Science and Engineering Manipal University Jaipur, India
Email ID: ,

Dr. Aprna Tripathi is an associate professor in the department of data science and engineering, Manipal University Jaipur. She received her bachelor’s degree in sciences from Kanpur University (1998), master’s in computer applications from HBTI (2002), Kanpur, Master of Technology from Banasthali University (2007), Rajasthan and PhD from National Institute of Technology Allahabad, Prayagraj (2015).

With over 15 years of teaching and research experience, she has established a strong foundation in academia. Her scholarly contributions can be found in prestigious national and international journals and conferences, including those recognized by SCI and Scopus. Furthermore, she actively contributes as a reviewer for prestigious academic journals. Her areas of specialization include Software Engineering, Software Testing, Data Visualization, and Data Structures & Algorithms. Notably, she has authored a book titled "Component-Based Systems: Estimating Efforts Using Soft Computing Techniques." In addition, she is a member of the Association for Computing Machinery (ACM) and IEEE.

Dr. Shilpa Srivastava
Associate Professor
School of Sciences, Christ (Deemed to be University), Delhi NCR, Ghaziabad
Email ID: ,

Dr. Shilpa Srivastava is an Associate Professor at the School of Sciences, Christ University, Delhi NCR. She has a B.Sc.(H) Mathematics degree from Delhi University, Post Graduate Degree MCA from MCRP University and Ph.D. in Computer Science & Engineering from Uttarakhand Technical University, Dehradun. She has also Qualified UGC NET exam in Computer Science Applications in 2015. She has a vast teaching and research experience of more than 20 years. She has publications in journals and conferences of national and international repute (SCI/Scopus/ESCI). She is a reviewer of many reputed journals. She has also worked as Co-Principal investigator in a research project in collaboration with IIT Roorkee. The project was funded by Liverpool Hope University, UK. She has published one Patent also. Her areas of interest include Application of Soft Computing in medical domain, Theory of Computation, Algorithms, and e-health services.