Assistant Professor Gabriel Sampedro, from the Faculty of Information and Communication Studies at UP Open University, made significant contributions at the 2023 International Conference on Electronics, Information, and Communication (ICEIC) last 5-8 February 2023 in Shangri La, Singapore. Presenting a series of seven papers, aProf. Sampedro showcased his expertise in machine learning and its applications in diverse domains, solidifying his reputation as a respected researcher in the field.
One notable paper presented by aProf. Sampedro was titled “Machine Learning Approaches to Facial Recognition: A Survey.” In collaboration with esteemed colleagues, he provided a comprehensive survey that explored the advancements and applications of machine learning in facial recognition. This research offers valuable insights into the rapidly evolving technology.
Another paper, “Smart Commuting: Exploring Machine Learning Approaches to Understanding the Metro Rail Transit System,” focused on the potential of machine learning techniques to enhance our understanding of complex urban transportation systems. aProf. Sampedro and his team’s innovative approaches have the potential to revolutionize commuting experiences and contribute to improving urban mobility.
Addressing the challenges faced by visually-impaired individuals, aProf. Sampedro’s research on “EyeRis: Visual Image Recognition using Machine Learning for the Visually-Impaired” aimed to develop a visual image recognition system called EyeRis. This system, leveraging machine learning, holds promise for empowering and assisting visually-impaired individuals in their daily lives.
aProf. Sampedro’s expertise also extends to the domain of content moderation, as demonstrated in the paper “Please Be Nice: A Deep Learning Based Approach to Content Moderation of Internet Memes.” This research introduced an innovative deep-learning approach to effectively moderate internet memes, contributing to fostering a respectful and inclusive online environment.
Moreover, aProf. Sampedro’s research on “Classification of the Type of Brain Tumor in MRI Using Xception Model” highlighted his dedication to advancing healthcare technologies. By utilizing the Xception model, a deep learning architecture, his work focused on accurately classifying brain tumors in MRI scans, potentially leading to enhanced diagnostic accuracy and timely treatment decisions.
aProf. Sampedro’s commitment to promoting inclusivity was evident in the paper titled “Ano Raw: A Deep Learning-Based Approach to Transliterating the Filipino Sign Language.” This research presented a deep learning-based solution that bridged communication gaps between the hearing and hearing-impaired communities, fostering inclusivity and facilitating effective communication.
Lastly, aProf. Sampedro’s collaboration on the paper “Development of an Automated Floating Water Filter Device Using Hollow Fibers” showcased his interdisciplinary expertise. By developing an automated floating water filter device, he contributed to sustainable engineering solutions, addressing water pollution challenges and improving water quality.
The papers presented by aProf. Gabriel Sampedro at the 2023 International Conference on Electronics, Information, and Communication exemplifies his exceptional research contributions.
Written by Gabriel Sampedro ♦ Edited by Yrelle Mae Lleva ♦ Contributed by the Faculty of Information and Communication Studies
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