Dr. Emily Bagarukayo | Autonomous Robot Navigation | Best Researcher Award

Dr. Emily Bagarukayo | Autonomous Robot Navigation | Best Researcher Award

Makerere University | Uganda

Dr. Emily Bagarukayo is a distinguished academic, researcher, and consultant in computing and Ict, currently serving at the school of computing and informatics technology, college of computing and information sciences, Makerere university. She holds a Ph.d in information science from Radboud university Nijmegen, Netherlands, a postgraduate diploma in educational technologies from the university of cape town, a master’s in computer science from makerere university, and a bachelor’s degree in computer science (hons) from mbarara university of science and technology. She is also a research associate at the international center of it and development, southern university, USA. Her doctoral research focused on e-learning, emphasizing the role of digital learning environments and Autonomous Robot Navigation multimedia in enhancing learning outcomes through the “learning by construction approach.” her current research interests include personalized learning, instructional content development, and ict4d, with a growing focus on the impact of social software on education. she has published 11 documents, received 14 citations from 14 documents, and holds an h-index of 2. As a passionate educator, she has mentored numerous undergraduate and postgraduate students while contributing to over 36 peer-reviewed journals, conferences, and book chapters.

Profile: Scopus

Featured Publication

Bagarukayo, E. Framework for enhancing tutor–student interaction in blended courses: A case of Bachelor of Youth in Development Work at Makerere University.

 

Ms. Tamanna | Neural Networks for Robot Control | Best Researcher Award

Ms. Tamanna | Neural Networks for Robot Control | Best Researcher Award

Goethe University, Frankfurt | Germany

Tamanna is a Ph.d. researcher at Goethe University, Frankfurt, Germany, specializing in geochemistry with a focus on integrating data science and machine learning into geo-scientific research. Her work aims to bridge the gap between traditional geoscience and modern computational methodologies by leveraging data-driven approaches to analyze complex geochemical systems. She holds a bs-ms degree in earth and environmental sciences from the Indian institute of science education and research, Bhopal. her expertise spans elemental and isotopic geochemistry, geospatial analysis, statistical modeling, and predictive analytics for geochemical processes. She is proficient in programming and data visualization using python, Neural Networks for Robot Control, matlab, qgis, and arcgis. Tamanna has authored two research documents with approximately one citation and an h-index of 1 for those publications; overall, her author-level record includes 99 citations and an h-index of 6, according to google scholar. Beyond her technical skills, she is actively involved in interdisciplinary research that combines quantitative methods, laboratory work, and field investigations to enhance the understanding of earth’s chemical evolution. fluent in english and hindi, with working knowledge of german, she represents the next generation of data-driven geoscientists.

Profile: Orcid

Featured Publications

Tamanna, Hezel, D. C., & Marschall, H. R. (2025, October). MRMinerals and MineralTD: Machine‐Readable Mineral Formula and Compositions Data Set for Data‐Driven Research. Geoscience Data Journal.

Tamanna, Hezel, D. C., Srivastava, N., & Faber, J. (2025, August 13). Using machine learning for automatic rock classification. American Mineralogist.