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  • Home
  • About
    • Research @ PES University
    • Dean Research
    • Research Policy
    • Funding
    • Patents
    • Publications
  • Research Programs
  • Research Domains
  • Research Centers
  • Innovation
  • Contact

Center for Data Sciences and Applied Machine Learning (CDSAML)

CENTER FOR DATA SCIENCES AND APPLIED MACHINE LEARNING (CDSAML)

  • Overview

RESOURCES

  • Domain Head
  • Research Team
  • Research Domains
  • Software Tools
  • Technologies

PROJECTS

  • Research Areas
  • Funding Organizations

ACCOMPLISHMENTS

  • Completed Projects
  • Publications

Center for Data Science and Applied Machine Learning(CDSAML) at PES University focuses on

  • Image Processing, Computer Vision and Pattern Recognition using technologies from Artificial Intelligence, Machine Learning and Deep learning.
  • Social Media Analytics using technologies from Statistical Machine Learning(SML), Natural Language Processing and Information Visualization.

The goal of CDSAML is to build systems and algorithms to extract knowledge, find patterns, generate insights and predictions from diverse data for various applications and visualization. The center conducts survey research, qualitative data collection, and data analysis.

OBJECTIVES

  • Establishing and developing research relationships, both within the University and with external researchers, and not-for-profit agencies locally, nationally, and internationally; and
  • Designing and providing quality research by adhering to the highest ethical standards and professional best practices.

RESOURCES

PES University ensures the best in faculty work in well equipped laboratories. Each domain is guided by a domain head with sterling academic credentials and a passion for research and development activities. The domain head leads a research team comprising of members drawn from the faculty who work closely with the students. The key technologies are selected taking into account availability of expertise and potential industry support. The students get a chance to try their hands on the latest software tools.

PROJECTS

Research enriches all aspects of teaching and learning in the curriculum. The list of current projects demonstrates the deep domain knowledge of the faculty and competence of the students.

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