MIT and ITA I am a PhD candidate at MIT in the Laboratory for Information & Decision Systems (LIDS) advised by Prof. Eytan Modiano. My research is on Communication Networks, particularly in the development of network control algorithms to improve the Quality of Service in wireless networks.

Before the PhD, I received two SM degrees:

  • Communication Networks from MIT. Adviser: Prof. Eytan Modiano, USA, 2016;
  • Telecommunications from ITA. Adviser: Prof. Alessandro Anzaloni, Brazil, 2013.

I received my BSc degree in Electronic Engineering from ITA in 2010. The Senior Thesis was developed in Sapienza - Università di Roma under supervision of Prof. Andrea Baiocchi and Prof. Alessandro Anzaloni and was awarded the best of Electrical Engineering in 2010.

Before coming to MIT, I worked for Mectron in Brazil as a Network Engineer for one and a half years. My primary responsibility was to optimize Network and Data Link layer algorithms for a Mobile Ad-hoc Network using cross-layer techniques.

Besides solving challenging problems in Communication Networks, I have a keen interest in teaching. For two semesters, I was the Teaching Assistant in the Communication Systems & Networks class at MIT. I also volunteered for the local government in Brazil, teaching Math to a talented class of middle school students for one and a half years. Most recently, I completed the Kaufman Teaching Certificate Program from the Teaching & Learning Lab at MIT, which consists of a number of insightful workshops designed to improve the participants teaching skills.

Research Interests

My research focus is on the development of network control algorithms designed to meet rigorous performance requirements in terms of throughput, latency and/or information freshness. These custom-made algorithms become essential when the performance requirements are demanding. Examples are abundant: applications with massive number of nodes (Internet of Things), mission critical networks (military operation or industrial plants), cyber-physical systems (autonomous cars or swarms of UAVs) and others.

In this research, we combine techniques from Mathematical Optimization, Stochastic Control and Network Protocols to model communication networks with performance requirements, and then use this model to design algorithms that (provably) satisfy the requirements. Moreover, we can often use this model to characterize the achievable performance of the network in different configurations, what provides insight into questions such as: by adding ten nodes to the network, the performance of the communication network would degrade by how much?

Most recently, our research has been on optimizing transmission scheduling decisions in wireless networks to achieve minimum Age of Information, i.e. to deliver the freshest information to the end-users. The Age of Information is a new performance metric that has been receiving increasing attention in the literature and is particularly useful for applications such as Wireless Sensor Networks. More information can be found in the projects and in the publications sections.


  • Reviewer for technical journals and conferences, including:
  • Co-Chair of the LIDS Career Committee, Aug 2017 - Present
  • Moderator for the Career Panel during the 2018 LIDS Student Conference, Feb 2018
  • Co-Chair of the 2018 LIDS Student Conference, Jun 2017 - Feb 2018
  • Host of Ashdown's discussion group, the Cherry Pie Society, Jul 2015 - Aug 2017
  • Co-Chair of the LIDS Social Committee, Sep 2014 - Jun 2015
  • Volunteer as a Math teacher for middle school students in Brazil, Feb 2011 - Aug 2012

Igor Kadota



MIT, office: 32-D671
77 Massachusetts Ave,
Cambridge, MA 02139

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