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Christian Fritz
  • applies AI planning & KR to real-world problems
  • semantic workflows, cognitive robotics, ubicomp
  • specializes highly dynamic, open-world environments
  • Ph.D., University of Toronto



Gaurang Gavai
  • applications in embedded reasoning and machine learning with a focus on social network data analysis and technical infrastructure development therein
  • Master's in Computer Science with a specialization in Machine Learning, Georgia Institute of Technology; Bachelor's in Information Technology, University of Mumbai


Tomonori Honda
  • broad experience in engineering design and big data modeling, specializing in formalizing design theory for complex systems
  • researches design for system reliability, prognosis, and maintenance scheduling; design synthesis for complex multidisciplinary systems; and behavioral design theory
  • Ph.D. and M.S. in Mechanical Engineering, California Institute of Technology; B.S. in Mechanical Engineering and Nuclear Engineering, University of California, Berkeley


Linxia Liao
  • predictive and prescriptive analytics; system and components fault diagnostics and prognostics; signal processing; and machine learning algorithms
  • developing device fleet health management solutions for intelligent transportation systems
  • Ph.D., Industrial Engineering, University of Cincinnati; M.S. and B.S., Mechanical Science and Engineering, Huazhong University of Science and Technology (HUST) in China
  • one issued patent and seven pending patents


Andrés Quiroz
  • computer engineering researcher working in the areas of scalable computing, big data, and analytics
  • current work focuses on data integration, developing tools and algorithms to enable high-level queries on raw data based on big data platforms
  • Ph.D. and M.Sc. in Computer Engineering from Rutgers University; B.S. in Systems Engineering from EAFIT University in Medellín, Colombia