IGOR KADOTA

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 one and a half years, I volunteered for the local government in Brazil, teaching Math to a talented class of middle school students. Moreover, I was the Teaching Assistant in the Communication Systems & Networks class at MIT for two semesters. 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 a 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 the communication network with the performance requirements, and then use this model to design algorithms that (provably) meet the requirements. These techniques often allow us to mathematically characterize the performance of our algorithms and to find the conditions on the network configuration under which the performance requirements are guaranteed to be met.

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. More information can be found in the publication below and in the Projects section.


Publications


Igor Kadota, Elif Uysal-Biyikoglu, Rahul Singh, Eytan Modiano
Minimizing Age of Information in Broadcast Wireless Networks
IEEE Allerton Conf. on Communication, Control, and Computing, September 2016.

Igor Kadota
Transmission scheduling of periodic Real-Time traffic in Wireless Networks
SM thesis, Dept. of Aeronautics and Astronautics, MIT, September 2016.

Kyu S. Kim, Chih-Ping Li, Igor Kadota, Eytan Modiano
Optimal Scheduling of Real-Time Traffic in Wireless Networks with Delayed Feedback
IEEE Allerton Conf. on Communication, Control, and Computing, September 2015.

Igor Kadota, Andrea Baiocchi, Alessandro Anzaloni
Kalman Filtering: estimate of the Numbers of Active Queues in an 802.11e EDCA WLAN
Elsevier Computer Communications, February 2014.

Talks


Lyapunov Optimization applied to the Age of Information minimization problem
LIDS Tea Talk, 2017. (Chalk Talk)

Minimizing Age of Information in Broadcast Wireless Networks
LIDS Student Conference, 2017. Best Presentation Award. (Slides)

Index Policies: Gittins and Whittle Indices
CNRG meeting, 2016. (Slides)

Optimal Scheduling of Real-Time Traffic in Wireless Networks with Delayed Feedback
Allerton Conference, 2015. (Slides)

Service


  • Member of LIDS Career Committee, Aug 2017 - Present
  • Co-Organizer of LIDS Student Conference 2018, Jun 2017 - Present
  • Host of Ashdown's discussion group, the Cherry Pie Society, Jul 2015 - Aug 2017
  • Member of LIDS Social Committee, Sep 2014 - Jun 2015
  • Volunteer as a Math teacher for middle school students in Brazil, Feb 2011 - Aug 2012

Igor Kadota


Contact

kadota[at]alum.mit.edu

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



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