Ongoing and Completed Important Research Projects in MLL

Smart Transportation Systems using AI and Game Theory

 

 

 

 

Learning in Presence of Label Noise

Cooperative Target Observation for improving Surveillance and Monitoring applications

Mechanism Design and AI For Modern Web Applications and Blockchains
Many times AI problems need to be solved based on inputs from strategic agents. In such cases, we need to design an appropriate game so as to achieve a system-wide good goal at equilibrium of the underlying game. This research falls under broad umbrella of AI and Game Theory. It involves multiple research problems such as how to incentivize agents to contribute in crowdfunding activities, how to offer incentives for workers in crowd-sourcing. Other set of problems deal with game theoretic analysis of deep learning networks in the contexts of Generative adversarial networks (GANs). The following are specific projects under this topic.

  • Smart Contracts for Civic Crowdfunding
  • Information Aggregation Over Blockchains
  • Role of Game Theory and Machine Learning in Online Discussion Forums
Role of Game Theory and Mechanism Design in AI and Blockchains

Reject Option Classifier

 

 

Economic Mechanisms Through Machine Learning
Many a times, it is very hard to design economic mechanisms analytically. For example, designing an optimal auction beyond single item auction is analytically challenging and computationally expensive. Finding optimal strategies is another challenge in the modern era complex economic mechanisms. That is where computer science and mirco-economics merge together. However, still a lot more remains as an open challenge. Instead of designing mechanisms analytically or designing algorithms, can machines learn what may be a good mechanism for the given context? We have shown that answer is yes. The following are specific projects under this topic.

  • MAB Based Mechanism Design for Smart Grids and Internet Advertising
  • Building AI-based Autonomous broker for Electricity Markets
  • Neural Network Based Auction Design
  • RL agent to compute Equilibrium in Civic Crowdfunding
Role of AI and ML in Economics

Data Driven Planning and Decision Making under Incomplete Information