I am a Ph.D. researcher on large-scale contextual time-aware anomaly detection and prediction systems for CERN CMS HCAL detector.
I received his B.Sc. and M.Sc. in Computer Engineering at EiT-M, Mekelle University, Ethiopia, with honors of Gold-Medal Award, in 2012 and 2016, respectively. Moreover, I conducted my Master's thesis and post-graduate research on machine learning for non-intrusive load monitoring (NILM) of complex systems at Midori Srl, an innovative start-up in energy efficiency incubated in I3P, Italy.
Furthermore, I am a former academic member of Mekelle University (2012-2017) and Polytechnic of Turin, Italy, (2018-2020), who researched and developed various AI-powered industrial data science and monitoring applications for energy analysis, telecommunication, automotive, software computational energy consumption and natural language processing.
My research interest revolves around data science, machine learning, and deep leaning for data-driven modeling of time-series, anomaly detection, IoT, and Industry 4.0.
Multivariate Time-Series, Large Datasets, Anomaly Detection, Data Science, Data-Driven Models, Deep Learning, IoT, and Industry 4.0
Graduate Research Fellow at Center of Artificial Intelligence Research (CAIR), Norway
Research Fellow at Politecnico di Torino, Turin Area, Italy
2018 - 2020
NILM Researcher and Developer at Midori srl, Turin Area, Italy
2016 - 2018
Lecturer and Researcher at Ethiopian Institute of Technology - Mekelle, Ethiopia
2013 - 2017
R & D
Asres, MW, Ardito, L., & Patti, E. (2021). Computational Cost Analysis and Data-Driven Predictive Modeling of Cloud-based Online NILM Algorithm. IEEE Transactions on Cloud Computing, (01), 1-1.
Asres, MW, Mengistu, MA, Castrogiovanni, P., Bottaccioli, L., Macii, E., Patti, E., & Acquaviva, A. (2020). Supporting Telecommunication Alarm Management System With Trouble Ticket Prediction. IEEE Transactions on Industrial Informatics, 17 (2), 1459-1469.
Asres, MW, Girmay, AA, Camarda, C., & Tesfamariam, GT (2019). Non-intrusive load composition estimation from aggregate ZIP load models using machine learning. International Journal of Electrical Power & Energy Systems, 105, 191-200.
Mali, D., Weldezgina, M., Birhanu, A., & Gebrehiwot, H. (2014). Simulation of GSM Based Home Security and Control System. Wireless Communication, 6 (1), 7-11.
Sist endret: 27.01.2022 10:01