Registration summary
ConferenceICDSAIR
ModeStandard / Physical
ParticipationListener
Registration fee$155.00
Bank charges (5.8%)$8.99
Total payable$163.99
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICDSAIR conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
