Mulugeta Weldezgina Asres

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
2020 -

• Development of a large scale contextual time-aware AD system for CERN detectors.

Research Fellow at Politecnico di Torino, Turin Area, Italy

2018 - 2020

• R & D on smart-data automation by applying explorative, descriptive, and predictive data analytics using AI for Industry 4.0.
• Data analytics and machine learning for telecom monitoring system for Telecom Italia (TIM);
• Predictive energy modeling in vehicle manufacturing factory (FCA);
• Data analytics in NILM: anomaly detection, recommender systems

NILM Researcher and Developer at Midori srl, Turin Area, Italy

2016 - 2018

• Developed Algorithms and Machine Learning Systems for NED (Midori's Commercial Product)
• Developed robust NILM algorithms for domestic and commercial buildings using unsupervised machine learning and signal processing tools.
• Developed an efficient event-based load disaggregation system with a robust capability for diverse appliance switching transients especially long transients from ACs and overlapped events which are challenging to capture using conventional detectors;
• Devised an effective mechanism that solves dynamic frequent switching event overlapping challenges from Washing Machines, Microwave, SASD, etc using unsupervised signal analysis;
• Researched on Non-Intrusive Energy Disaggregation for complex scenarios such as commercial utilities and low voltage substations

Lecturer and Researcher at Ethiopian Institute of Technology - Mekelle, Ethiopia
2013 - 2017

• Delivered lectures and supervised interns and undergraduate projects.
• Assisted postgraduate lab courses and projects.
• Manage and develop applied machine learning research and projects.
• Freelance software, web, and embedded system developer.

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.