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Published in 24th Annual IEEE International Conference on Electro Information Technology (EIT), 2024
Anthropogenic activities release …
Recommended citation: B. Yacoob, E. Scheys, E. Oladipo, A. Price and S. Banitaan. "Using Machine Learning and Google Earth Engine to Understand Land Use and Land Cover Classifications and NO2 Levels in California." 2024 IEEE International Conference on Electro Information Technology (EIT), Eau Claire, WI, USA, 2024, pp. 410-417, doi: 10.1109/eIT60633.2024.10609851.
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Published in 2024 6th Asia Conference on Machine Learning and Computing (ACMLC), 2024
The rapid growth of indoor positioning is …
Recommended citation: Benyamain Yacoob, Daniel Marku, Mina Maleki, and Shadi Banitaan. 2025. "Enhancing Indoor Localization Estimation Using RSS Similarity-Based k-Nearest Neighbors." In Proceedings of the 2024 6th Asia Conference on Machine Learning and Computing (ACMLC 24). Association for Computing Machinery, New York, NY, USA, 74–79. https://doi.org/10.1145/3690771.3690792
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Published in 2025 IEEE International Conference on Electro/Information Technology (EIT), 2025
This paper introduces an enhanced multi-floor indoor localization method leveraging RSS fingerprinting, an amplified voting scheme for floor classification, and dynamic neighbor selection to improve accuracy in dense and sparse datasets.
Recommended citation: Benyamain Yacoob, Daniel Marku, and Mina Maleki. 2025. "Enhancing Multi-Floor Indoor Localization Accuracy Using Fingerprint-Based Dynamic k-NN Approach." In Proceedings of the 2025 IEEE International Conference on Electro/Information Technology (EIT). IEEE, USA.
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Presented an updated iteration of the original trapdoor article, featuring improvements and practical application through experimentation with various adversarial attacks. An explanation of the architecture can be found here.
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Delivered a presentation on the 4PTRB framework, offering a summary and our analysis of its advantages and effectiveness in college-level software education projects.
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First conference attended! Presented insights on air quality and land types, along with data extraction techniques.
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Second conference in the books (remote)! Presented a novel indoor positioning estimation algorithm.
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Delivered a presentation on a joystick-controller convoy protocol, showcasing functions such as leader election, secure command transmission, and dynamic joining of new vehicles.
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Delivered a presentation on my personal journey of what has made me appreciate mathematics.
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Delivered a presentation on attainment of ABET outcomes through cooperative education from a student perspective, highlighting how coop work terms and traditional coursework differentially contribute to ABET student outcomes in engineering and CS programs.
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Delivered a presentation on recursive self-improvement in artificial intelligence.
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Delivered a presentation on a critical analysis of PPO and DDPG algorithms.
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Delivered a presentation on reward shaping in reinforcement learning, comparing PPO and MORL algorithms in a penguin simulation.
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Delivered a presentation on an integrated vision-physics-reinforcement learning framework for dynamic industrial robot navigation.
Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
This is a description of a teaching experience. You can use markdown like any other post.