Important Dates
Early Bird Registration :8th May 2027
Paper Submission Deadline :13th May 2027
Last Date of Registration : 23rd May 2027
Date of Conference : 7th - 8th June 2027
Conference Session Tracks
Aligned with
UN Sustainable Development Goals
This conference contributes to global sustainability by aligning its research discussions and academic sessions with key United Nations Sustainable Development Goals.
SDG 4 — Quality Education
SDG 9 — Industry, Innovation and Infrastructure
SDG 10 — Reduced Inequalities
SDG 11 — Sustainable Cities and Communities
SDG 12 — Responsible Consumption and Production
SDG 16 — Peace, Justice and Strong Institutions
Track 01
Mathematical Foundations of Data Science
This track focuses on the essential mathematical principles that underpin data science methodologies. Topics include linear algebra, calculus, and statistics as they relate to data analysis and interpretation.
Track 02
Machine Learning Algorithms and Applications
This session will explore various machine learning algorithms and their practical applications in real-world scenarios. Emphasis will be placed on algorithmic efficiency, scalability, and performance metrics.
Track 03
Predictive Analytics in Robotics
This track investigates the role of predictive analytics in enhancing robotic systems. Discussions will center on data-driven decision-making processes and their implications for automation and control systems.
Track 04
Neural Networks and Deep Learning Techniques
This session delves into the architecture and functioning of neural networks and deep learning models. Participants will examine their applications in data science, particularly in image and speech recognition.
Track 05
Big Data Technologies and Frameworks
This track addresses the technologies and frameworks that facilitate the processing and analysis of big data. Key topics include distributed computing, data storage solutions, and data management strategies.
Track 06
Knowledge Discovery in Data Mining
This session focuses on the methodologies and techniques used in knowledge discovery from large datasets. Participants will explore data mining processes, including clustering, classification, and association rule mining.
Track 07
Computational Intelligence in AI Systems
This track examines the integration of computational intelligence techniques within artificial intelligence systems. Topics include fuzzy logic, genetic algorithms, and their applications in problem-solving.
Track 08
Automation and Control Systems in Robotics
This session will explore the intersection of automation technologies and control systems in the field of robotics. Discussions will include system design, feedback mechanisms, and real-time data processing.
Track 09
Statistical Methods for Data Analysis
This track emphasizes the application of statistical methods in data analysis and interpretation. Participants will discuss hypothesis testing, regression analysis, and statistical modeling techniques.
Track 10
Ethics and Governance in Data Science
This session addresses the ethical considerations and governance frameworks surrounding data science practices. Topics include data privacy, algorithmic bias, and responsible AI deployment.
Track 11
Emerging Trends in Data Science and Robotics
This track highlights the latest trends and innovations in data science as they pertain to robotics. Participants will explore advancements in sensor technology, machine learning applications, and human-robot interaction.