Hi, I’m Sisay Adugna Chala. I work for Fraunhofer FIT as a researcher in Data Science and AI. I started at Fraunhofer FIT as Software Engineer in the User-Centered Ubiquitous Computing team. I obtained my PhD in Computer Science from University of Siegen, where I was a Marie Curie ITN Fellow working on data-intensive personalized vacancy recommendation, and assisting in teaching software engineering for mechatronics international program.

Earlier, I worked for Haramaya University (Ethiopia) as an ICT Director and system administrator on Linux and Windows network environments for over three years. I also taught in the same university for more than eight years. Moreover, I conducted research on Statistical Machine Translation when I was a visiting researcher at German Research Center for Artificial Intelligence (DFKI) based in Saarland University.

At Fraunhofer FIT, I am involved in projects that work in the area of smart data analytics. Notable projects I am actively working on are Storage4Grid where we study energy consumption prediction, and GOEASY in which we study optimization of location based services.

My research interests include machine translation, data mining and machine learning, information retrieval, and application of ICT in various problem domains. My professional highlights:

• Over 10 years of experience in university teaching and R&D
• Over 15 years of experience in software development
• More than 7 year of experience in project management and technical leadership
• Development of Energy Prediction using Deep learning
• Development of application programming interface for energy simulation
• Development Bi-directional job matching using unsupervised feature learning