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Pioneering research at the intersection of Artificial Intelligence, Geospatial Intelligence, Healthcare Informatics & Sustainable Computing.
The Center for Data Sciences and Machine Learning at Centurion University of Technology and Management (CUTM), Odisha, is a multidisciplinary research and innovation hub dedicated to advancing cutting-edge research in Artificial Intelligence, Data Analytics, Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, Remote Sensing, Healthcare Informatics, and Sustainable Computing.
The Center actively promotes interdisciplinary collaborations among academia, industry, and government organizations to address real-world societal and industrial challenges through intelligent data-driven solutions.
AI, ML, NLP, GIS, Remote Sensing, Computer Vision, Healthcare AI, Hyperspectral Imaging
Smart Agriculture, Disaster Management, Healthcare Analytics, Geospatial Intelligence
The Centre for Data Sciences & Machine Learning actively conducts hands-on training, field-based learning, and interdisciplinary research in the domains of Geospatial Intelligence, Remote Sensing, GIS, AI-driven Surveying, and Spatial Data Analytics. The activities shown here demonstrate practical training sessions involving advanced geospatial instruments, surveying technologies, and intelligent data acquisition systems used for real-world applications. Students and researchers are trained in modern techniques of spatial data collection, underground mapping, geophysical investigation, GPS/GNSS surveying, and AI-assisted geospatial analytics. The Centre integrates Machine Learning and Data Science methodologies with geospatial technologies to solve complex challenges related to smart infrastructure, environmental monitoring, disaster management, precision agriculture, urban planning, and sustainable development.
These experiential learning activities help students gain industry-oriented exposure in:
The Center of Data Science and Machine Learning leverages advanced geospatial analytics, artificial intelligence, and machine learning techniques to develop Digital Soil Health Maps for precision agriculture and sustainable environmental management. By integrating spatial interpolation, nutrient analysis, and data-driven modeling, the center enables accurate assessment of soil properties such as pH, nitrogen, phosphorus, electrical conductivity, and organic carbon to support smarter agricultural decision-making and improved crop productivity.
These experiential learning activities help students gain industry-oriented exposure in:
Transforming data into intelligent innovations through advanced AI and Machine Learning research.
Distinguished researchers and educators driving excellence in data science & AI at CUTM.
Peer-reviewed work in SCI, Scopus-indexed international journals and top IEEE / Springer conferences.
Innovations protected through national and international patent filings.
International GIS Day, expert workshops, hands-on training programs & seminars.
Applied AI solutions addressing real-world societal challenges in healthcare, agriculture & disaster management.
Successfully delivered research projects with measurable societal impact.
Specialized, industry-aligned courses in data science, AI, and machine learning.
Prestigious recognitions, research excellence, funded projects, innovation milestones, and academic achievements of the Center.
Workshops, field visits, conferences, training programs and research activities.