Difference between revisions of "Research proposals"

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**** explainable AI.
 
**** explainable AI.
 
*** Putative education initiatives:  
 
*** Putative education initiatives:  
**** Circulating PhD Program under Mme. Curie;  
+
**** Circulating PhD Program where PhDs write a publishable paper at each member institution;  
**** Online sequence of MOOC courses.
+
**** Online sequence of public MOOC courses based on the material issuing from the network.

Revision as of 10:42, 12 January 2021

Submitted research proposals

A list of research proposals that our COST Action FinAI has created and compiled.


Research ideas and new topics

    • Joerg Osterrieder, Switzerland
      • Interested in joint collaborations (with the goal of academic publications) on Fintech, AI in Finance, Reinforcement Learning in Finance, Machine Learning with a focus on empirical data-driven work relevant for the Finance industry.
      • Happy to invite PhD students to come to Switzerland, either via STMS or directly based on one of our research projects, via the Swiss National Science foundation, EU H2020/ Horizon Europe or Innosuisse.
    • Branka Hadji Misheva, Switzerland
      • Interested in joint collaborations (with the goal of academic publications) on Fintech and AI in Finance, with a specific focus on explainable AI applications in finance.
      • Happy to engage in joint academic research; papers/data/code sharing; invite/visit researchers working on topics related with ML solutions for risk management; joint research proposals (via the Swiss National Foundation, EU Horizon, Innosuisse etc.).
    • Florian Bozhdaraj, Switzerland
      • Interested in joint collaborations with industry partners on Fintech, Machine Learning/Deep Learning in Financial Engineering, Risk Management and Blockchain.
      • Happy to engage in joint academic research; application and data sharing; joint research proposals via the Swiss National Science foundation, EU H2020/ Horizon Europe or Innosuisse.


    • Florian Bozhdaraj, Switzerland
      • Interested in joint collaborations with industry partners on Fintech, Machine Learning/Deep Learning in Financial Engineering, Risk Management and Blockchain.
      • Happy to engage in joint academic research; application and data sharing; joint research proposals via the Swiss National Science foundation, EU H2020/ Horizon Europe or Innosuisse.


    • Mark James Thompson, Switzerland
      • Interested in joint collaborations with industry and academic partners on:
        • options trading and options portfolio management topics; and,
        • options topics on blockchain and (unifying) crypto-asset markets.
      • Interested academic partners in epistemological foundations of:
        • statistical and causal inference; and,
        • explainable AI.
      • Putative education initiatives:
        • Circulating PhD Program where PhDs write a publishable paper at each member institution;
        • Online sequence of public MOOC courses based on the material issuing from the network.