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Niloofar Yazdani


Niloofar Yazdani


Niloofar Yazdani received the B.S. and M.S. degrees from K. N. Toosi University of Technology, Tehran, Iran, in 2011 and 2013, respectively, all in electrical engineering.

From 2012 to 2013, she was with K. N. Toosi University of Technology, Tehran, Iran and the University of Allameh-Majlesi, Qazvin, Iran as an laboratory instructor and instructor, respectively.

From 2014 to 2017, she worked in R&D department of Mega-Motor Company,Tehran, Iran as an electronic system designer. At the same time, she was also with the ICAS (Integrated Circuits and Systems) laboratory as an associate researcher at K. N. Toosi University of Technology, Tehran, Iran.

She is currently pursuing her studies in communications systems at Aarhus University, Aarhus, Denmark, as a Ph.D. Fellow. Her current research interests include network coding, IoT, and communications systems.


Project title:  Massive-scale IoT dynamic data updating and compression for a scalable IoT infrastructure

Future communication networks and storage systems will face tremendous challenges to answer the increasing data traffic. Additionally, upcoming services and applications may also impose very low delay constraints on the transferred data.

Thus, developing technologies that increase the throughput, reduce the delay and operate in a distributed fashion are economically viable, and store and process data close to the end devices is crucial to the design and deployment of future communication networks and cloud computing.

This Ph.D project will focus on the development of novel coding theory designs for a more efficient management, updating, consistency assurance and storage of Internet of Things data at a massive scale.

In particular, this project will focus on the integration of (network) coding techniques and data deduplication, two approaches for reducing storage costs that have typically been attacked separately. This work is expected to open a new field at the intersection of traditional coding theory and distributed Cloud technologies and systems. The underlying goal of the results and designs of this project is to develop new technologies for Cloud, Edge and Local content management, transmission and consistency assurance.

Main supervisor: Assoc. Prof. Daniel Rötter

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