IGOR KADOTA
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;
Besides solving challenging problems in Communication Networks, I have a keen interest in teaching. For three semesters, I was the Teaching Assistant in the class Communication Systems & Networks at MIT. During that time, I had the opportunity to create an entire radio laboratory from the ground up and give lectures to undergraduate and graduate students. More information can be found on the teaching section.
News
- Apr, 2018: will present our paper "Optimizing Age of Information in Wireless Networks with Throughput Constraints" at IEEE INFOCOM, Hawaii
- Apr, 2018: served as a panelist in the event Recruiting Strategies to Attract MIT Graduate Students and Postdocs organized by MIT GECD
- Mar, 2018: BEST PAPER AWARD at IEEE INFOCOM 2018 (out of more than 1,600 submissions)
- Mar, 2018: TAing the second edition of the (improved) radio laboratory for 16.36-Communications Systems & Networks
- Feb, 2018: served as the moderator for the Career Panel in the 2018 LIDS Student Conference at MIT
- Feb, 2018: the 2018 LIDS Student Conference is happening today!
- Dec, 2017: presented "Optimizing Age of Information in Wireless Networks with Throughput Constraints"
at SQUALL Seminar, hosted by Prof. Mor Harchol-Balter - Nov, 2017: our IEEE INFOCOM paper has been accepted
- Jun, 2017: first day as Co-Organizer for the next LIDS Student Conference
- Jun, 2017: graduated in the Kaufman Teaching Certificate Program
- Mar, 2017: TAing the first hands-on laboratory of the MIT course 16.36-Communications Systems & Networks.
- Feb, 2017: received the BEST PRESENTATION AWARD at the 2017 LIDS Student Conference
