Bardh Prenkaj
Visiting Researcher at Technical University of Munich/Postdoctoral Researcher at Sapienza Università di Roma
Links
Biography
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I am, currently, a PhD scholar at the Intelligent Information Mining (IIM) research group at Sapienza University of Rome. My primary focus is the problem of student dropout prediction in online degree courses. As a group's lead researcher in this field, I am determined to push the state-of-the-art further. In addition to my research focus, I have collaborated with several colleagues at Sapienza's computer science department, giving thus our contribution to the Biometrics-as-a-Service area.
Skills and Expertise
- Machine Learning
- Deep Learning
- TensorFlow
Education
- Doctor of Philosophy - PhD Sapienza Università di Roma (2018.11 — 2022.02)
- Master of Science - MS Sapienza Università di Roma (2017 — 2018)
- Bachelor of Science - BS Sapienza Università di Roma (2013 — 2016)
Companies
- Visiting Researcher Technical University of Munich (2023)
- Postdoctoral Researcher Sapienza Università di Roma (2022)
- Lecturer Kolegji Heimerer (2022)
- Teaching Assistant Sapienza Università di Roma (2018)
- Senior Research Fellow Sapienza Università di Roma (2021 — 2022)
- Software Engineer PwC (2021 — 2022)
- Visiting Researcher George Mason University - College of Engineering and Computing (2021 — 2021)
- Software Engineer E Software Solutions (2020 — 2021)
- Junior Researcher George Mason University - College of Engineering and Computing (2020 — 2020)
Videos
Spreading of Influence (SI) models on networks
CoRoNNa:A Deep Sequential Framework to Predict Epidemic Spread [SAC2021]
Read about executive education
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