Biography
Dr. Greetta Pinheiro is an Assistant Professor in the Department of Computer Science at St. Stephen's College, University of Delhi. She holds a B.Tech and M.Tech in Computer Science and Engineering, and earned her Ph.D. in Computer Science and Technology from Jawaharlal Nehru University, New Delhi. Her doctoral research focused on machine learning-based predictive analytics for multi-source spatiotemporal remote sensing big data.
Her research has received academic accolades, including the Outstanding Paper Award at the 43rd Asian Conference on Remote Sensing and the Best Paper Award at the EAI International Conference on Machine Learning and Applied Data Analytics. Her areas of specialization span artificial intelligence, machine learning, remote sensing, geospatial analytics, spatial computing, and big data.
At the undergraduate level, Dr. Pinheiro utilizes her engineering background to teach foundational and advanced courses including Generative AI, Deep Learning, Intelligent Model Design using AI, Machine Learning, Data Mining, Python Programming, Data Structures, Operating Systems, and the Analysis and Design of Algorithms. Her pedagogy connects mathematical theory with practical application development, preparing students for technical demands in the computing landscape.
Research Interests
In the domain of academic governance and digital education, Dr. Pinheiro served as a SWAYAM MOOC module instructor for national higher education. She has also held positions as the Member Secretary of the Board of Studies, a member of the Research and Ethics Committee, and a core committee member of the Internal Quality Assurance Cell, where she contributed to curriculum quality, institutional accreditation, and research integrity.
She supports the broader scientific community as an invited speaker, including at IIT Delhi, reviewer for SCI/SCIE, and Scopus-indexed international journals, conference track chair, session chair and as technical program committee member. Dr. Pinheiro is a Professional Member of the Association for Computing Machinery and a member of the International Society for Photogrammetry and Remote Sensing. She continues her work combining research, pedagogical innovation, and academic service.