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Presenter

Biography
Baboucarr Dibba is a Ph.D. candidate in Mathematical Statistics at the University of Texas Rio Grande Valley. Born in Serekunda, The Gambia, his academic journey spans multiple countries and disciplines. He holds a BSc (Hons) in Mathematics from the University of The Gambia and dual master's degrees in mathematical engineering and applied mathematics from universities in Italy and Poland (Erasmus Mundus) scholar. Dibba's research focuses on the intersection of mathematical physics, neural networks, and image processing. His primary work involves p-adic cellular neural networks for edge detection and noise reduction in images, with potential applications in medical imaging and computer vision. He has also contributed to projects in quantum control and anomaly detection. Recently, as a Research Intern at Lawrence Berkeley National Laboratory, Dibba worked on optimizing neural network training for cloud microphysics models, expanding his expertise in computational science and atmospheric modeling with research scientist Dr. Damian Rouson and his team. His research integrates artificial intelligence, machine learning, and p-adic analysis to address complex real-world problems. Dibba's work has been presented at international conferences and published in peer-reviewed journals. He is committed to advancing global scientific knowledge while promoting mathematical excellence in developing nations, particularly his home country of The Gambia. Driven by a passion for mathematical modeling and computation, Dibba aims to contribute significantly to mathematical statistics and its applications. He strives to develop novel mathematical frameworks that can tackle challenging problems across various fields, fostering international collaborations and pushing the boundaries of technological and academic innovation.
Presentations
Workshop
Heterogeneous Computing
Parallel Programming Methods, Models, Languages and Environments
PAW-Abstract
Task Parallelism
W