Data Science Symposium

An analysis of large amounts of data gathered from diverse fields requires experts from Artificial Intelligence, Mathematics, Engineering, Science, Economics, and Social Sciences to work together for the betterment of society. Hence, there is an immediate need to accelerate data-based research in these areas. 

Data Science & Engineering at IISER Bhopal would like to take the lead in this regard by bringing together researchers from diverse data-driven research areas and providing them a platform where they can share their ideas with each other in order to discover solutions for various social as well as scientific problems. The Data Science Symposium aims to foster interdisciplinary collaboration and explore the latest trends in scientists working with data across all fields of science and engineering. The conference will focus on the applications of Machine Learning, Artificial Intelligence, and other methods of Data Analysis in all areas of Science and Engineering including, but not limited to, Computer Science, Physics, Environment, Electrical Engineering, Chemical Engineering, Economics, and Social Sciences. This conference will consist of plenary and invited talks by renowned scientists from academia and industry, panel discussions on relevant topics, a data-driven business plan competition, and poster presentations.

Key Symposium Topics:

• AI for Social Good: Ethical AI, responsible AI, and applications of AI to address social challenges.

• Biometrics: Biometric data analysis, authentication, and security using AI and ML techniques.

• Computer Vision: Advancements in image and video analysis, object recognition, and computer vision applications.

• Robotics: The intersection of robotics and data science, including robot perception, control, and autonomous systems.

• Geospatial Data Analysis: Spatial data analytics, GIS applications, and geospatial modeling using machine learning.

• Healthcare Data Science: Medical imaging, disease prediction, drug discovery, and healthcare analytics.

Symposium Highlights:

• Keynote presentations by renowned experts in the field of Data Science from both academia and industry.

• Invited talks highlighting cutting-edge research and real-world applications.

• Interactive panel discussions addressing current challenges and future directions in Data Science.

• Poster sessions for research presentations and networking opportunities.

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