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PhD candidate

Mulugeta Weldezgina Asres

Mulugeta Weldezgina Asres is a Ph.D. researcher at CAIR, working on Large-Scale Contextual Time-Aware Anomaly Detection Systems for CERN CMS HCAL detector.

He 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. He conducted his Master's thesis and post-graduate research on machine learning for NILM (Non-intrusive Load Monitoring) of complex systems at Midori Srl, an innovative start-up in energy efficiency incubated in I3P, Italy.

As a former academic member of Mekelle University (2012-2017) and Polytechnic of Turin, Italy, (2018-2020), he researched and developed diverse AI-powered industrial data science and monitoring applications. His research interest revolves around Data Science, Time-Series, Anomaly Detection, Data-Driven Models, Deep Learning, IoT, and Industry 4.0.