Team

Anthony Faustine Researcher,

Faustine is a PhD machine learning researcher at IDLab research group of Ghent University since October 2017, advised by Tom Dhaene and Dirk Deschrijver. His research interest lie in the application of machine learning for computational sustainability with a focus on statistical-learning, deep-learning, bayesian inference, natural-language processing and signal processing. He is currently investigating robust machine learning methods for energy-disaggregation.

Maria Gabriel Researcher,

Gabriel is PhD student at Huazhong University of Science and Technology, School of Electronic Information and Communication, from September 2018, Supervised by Prof. Fei Wang. She is working on detecting non technical losses in smart meter data using deep learning methods.

Yona Zakaria Researcher,

Mr Zakaria is a member of academic staff at department of telecommunications. His research interest lies in the application of machine learning and signal processing for computational sustainability.

Rukia Mwifunyi Researcher,

Rukia is a PhD Student at the University of Dar es Salaam from October 2016. Her research interest is on multi-agent systems, self-healing systems and deep learning.She is currently working on distributed approaches for service restoration of the power distribution systems considering stochastic nature of the load demand and renewable energy sources.

Bertha Shao Researcher,

Assistant Lecturer at The University of Dodoma’s College of Informatics and Virtual Education. Research areas of interest applied machine learning for IoT and communications systems

Kilavo Hassan (PhD) Researcher and Team leader,

A lecturer at the University of Dodoma in the Department of Telecommunications and Communications Networks.His research interest lie in the application of communication theory, digital signal processing(DSP), and deep learning for computational sustainability. He is currently working on a research on how the combination of AI, DSP and communication theory can be used to improve and increase the sustainable economic activity in the semi-arid area in Tanzania.

Daniel: Ngondya (PhD) Researcher,

Assistant Lecturer at The University of Dodoma’s College of Informatics and Virtual Education. Research areas of interest include Optimization of Utility Networks, Machine Learning, and Game Theory