Dr. Susie Xi Rao

Steckbrief

Dr. Susie Xi Rao Dozentin

  • Präsenzzeit Montag
    Dienstag
    Mittwochvormittag
    Donnerstag
    Freitag
  • Adresse Berner Fachhochschule
    Technik und Informatik
    Lehre
    Höheweg 80
    2501 Biel

Tätigkeiten

  • Professor of Data Engineering
    Applied Machine Intelligence Research Group / BFH Generative AI Lab
    Institute for Data Applications and Security IDAS

    Senior Scientific Staff @ ETH Zurich
    Associated with ETH AI Center
    Chair of Applied Economics, 
    Department of Management, Technology and Economics (MTEC)

  • Data engineering, applied machine learning, data science, applied economics, scientometrics

Lehre

Forschung

  • Computer science, data science, applied economics

  • Fraud detection, multi-modal AI, natural language processing, meta-science, open-science, city evolution

Lebenslauf

  • As a lecturer and researcher of Data Engineering at BFH, senior scientific staff at ETH Zurich’s Department of Management, Technology, and Economics, and an affiliate of the ETH AI Center, I focus on advancing research in data pipelines, benchmarks, systems and analytics in domains such as multi-modal fraud detection, meta-science and applied economics. My work is highly interdisciplinary with collaborators in computer science, data science, linguistics, economics, remote sensing, entrepreneurship and I-believe-more-to-come-in-the-future.

    Alongside my research, I engage in university teaching and student mentoring at all levels of education (Bachelor, Master, PhD, further education, etc.) in many academic institutes in Switzerland.

    Latest CV and publication list available under: https://drive.google.com/file/d/19-zeywdex2x5IXmK05NYuJTGeIzpT2Oi/view?usp=sharing

Projekte

  • Automatic Trustworthy AI Ontology - Creation & Validation ​(Health & finance)

  • Cleantech Recommendation and Intelligence System (CLEARIS)

  • Global 3D Building Stock Estimation over Time​

  • Next-Gen Multi-Modal Fraud Detection: Application Ecosystem

  • Science, Innovation & Society: Research Ecosystem

Sprachen- und Länderkenntnisse

  • Deutsch - Verhandlungssicher
  • Englisch - Verhandlungssicher
  • Französisch - Konversationssicher
  • Chinesisch - Muttersprache oder zweisprachig
  • Russisch - Grundkenntnisse
  • Volksrepublik China
  • Schweiz