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Barikisu Asulba (Publications)

Barikisu Asulba (Publications)

Barikisu Asulba (Publications)

PhD Student

Asulba Barikisu Ahmed is a dedicated scholar and passionate advocate for Women in STEM. Currently pursuing her Ph.D. in Electrical and Computer Engineering at the Faculty of Engineering, University of Porto, she also serves as a Research Student at CISTER Labs, specializing in optimizing machine learning and deep learning applications in embedded systems since 2021.

Barikisu's educational journey commenced with a Bachelor's degree in Electrical and Electronic Engineering from the University of Mines and Technology, Ghana. Her thirst for knowledge led her to pursue a Master's degree in Computer Science from the African University of Science and Technology in Abuja, Nigeria. With a multidisciplinary background, she delves into reducing resource usage in machine learning and deep learning applications within embedded systems. Her research mission is to enhance the efficiency and impact of these applications across various domains.

 

Beyond academia, Barikisu is an advocate for inclusivity in STEM. During her tenure at Regentropfen College in Ghana, she organized tailored coding programs for girls, emphasizing diversity and inclusivity in STEM fields. Her initiatives underscore her belief in the potential of every young woman, encouraging them to explore the boundless opportunities within science, technology, engineering, and mathematics. Through mentorship and empowerment, she is actively shaping a more inclusive and diverse future in the world of STEM.

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Conference or Workshop Papers/Talks
Comparing Performance of Machine Learning Tools across Computing Platforms CISTER-TR-230904 
Pedro Vicente, Pedro Miguel Santos, Barikisu Asulba, Nuno Martins, Joana Sousa, Luís AlmeidaProceedings of 18th Conference on Computer Science and Intelligence Systems (FedCSIS 2023). 18, Sep, 2023. Warsaw, Poland.
Impact of Training Set Size on Resource Usage of Machine Learning Models for IoT Network Intrusion Detection CISTER-TR-230608 
Barikisu Asulba, Nuno Schumacher, Pedro Souto, Luís Almeida, Pedro Miguel Santos, Nuno Martins, Joana SousaProceedings of the IoT-I5 workshop, part of IEEE DCOSS conference 2023. 21, Jun, 2023. Paphos, Cyprus.
Implementing and Deploying an ML Pipeline for IoT Intrusion Detection with Node-RED CISTER-TR-230506 
Yimin Zhang, Barikisu Asulba, Nuno Schumacher, Mário Sousa, Pedro Souto, Luís Almeida, Pedro Miguel Santos, Nuno Martins, Joana SousaProceedings of the Real-time And intelliGent Edge computing workshop (RAGE 2023). 9, May, 2023. Albania.