April 2019 [Guest PhD student]
Welcome to Adrien Russo, guest PhD student from Université Côte d'Azur. Adrien will spend three months at T.J. Seebeck Department of Electronics to work on distribution of artificial neural networks in wireless sensors with applications to energy-efficient smart cities.
In this context, his PhD supervisors Francois Verdier and Benoit Miramond also visited our department to discuss the scientific and technical challenges of the research project.
Link to photos.
April 2019 [Phd lecture]
Defence of the PhD Thesis "Algorithms for Learning and Adaptation Over Networks – Distributed Leader Selection" by Sander Ulp, 12/04/2019, 14:00, U02-208, Ehitajate tee 5, Tallinn
April 2019 [Public lecture]
Thomas Johann Seebeck Department of Electronics has a pleasure to host eminent guest from UK, Professor Muhammad Ali Imran. You are invited to his public lecture on the 12th of April (12:00-13:00) in the lecture room U02-409.
Topic: 5G Cellular Systems for Energy Efficient Operation
The cellular network have long been configured and optimised reactively by identifying events and triggers and readjusting the operation of the cellular system. Our research is paving the way to make a step change by introducing proactive techniques to pre-emptively trigger actions that will save the energy while maintaining a high level of quality of experience for end users. With the advent of ultra-dense deployment of networks, we need to use such mechanisms to schedule multi-level sleep modes of cells, mobility management as well as joint RAN-backhaul optimisation from energy efficiency perspective. We will cover the fundamental framework for the evaluation of energy efficiency and the state of the art as well as futuristic approaches and ideas to achieve energy efficient network management.
Muhammad Ali Imran (M'03, SM'12) Fellow IET, Senior Member IEEE, Senior Fellow HEA is a Professor of Wireless Communication Systems with research interests in self organised networks, wireless networked control systems and the wireless sensor systems. He heads the Communications, Sensing and Imaging CSI research group at University of Glasgow. He is an Affiliate Professor at the University of Oklahoma, USA and a visiting Professor at 5G Innovation Centre, University of Surrey, UK. He has over 20 years of combined academic and industry experience with several leading roles in multi-million pounds funded projects. He has filed 15 patents; has authored/co-authored over 400 journal and conference publications; was editor of 3 books and author of more than 20 book chapters; has successfully supervised over 40 postgraduate students at Doctoral level. He has been a consultant to international projects and local companies in the area of self-organised networks.
January 2019 [PUT project]
We are pleased to announce that we have been granted the personal research funding (PUT) team grant project PRG424 "Closed-loop communication system to support highly responsive neuromuscular assistive stimulation (1.01.2019−31.12.2023)" by the Estonian Research Council.
Autumn 2018 [First results of the collaboration with Telia Estonia]
Press release: https://www.ttu.ee/taltech-revealed-the-results-for-iot-network-testing
Example of results: on COEL webpage for cooperation with Telia
Autumn 2018 [Erasmus+ visit from Aalborg University, Denmark]
On 21-26 October 2018, Peter Koch from Aalborg University (Denmark) visited us in the framework of the Erasmus+ programme. Link.
Autumn 2018 [Erasmus+ visit to Lab-STICC/Université Bretagne Sud, France]
On 24-28 September 2018, Yannick Le Moullec visited Lab-STICC/Université Bretagne Sud in the framework of the Erasmus+ programme. News on Université Bretagne Sud website (in French): link.
Summer 2018 [NATO SPS project]
On 1st June 2018 we kickstarted the NATO Science for Peace (SPS) project titled "Public Safety Communication in the Context of Terrorist Attacks" (NATO-SPS G5482).
The consortium comprises Thomas Johann Seebeck Department of Electronics at Tallinn University of Technology (Estonia), Dipartimento di Elettronica, Informazione e Bioingegneria at Politecnico di Milano (Italy), School of Electrical Engineering and Computer Science at National University of Sciences and Technology (Pakistan). In addition, the company Rantelon (Estonia) is acting as an end-user in the project.
Project on ResearchGate: www.researchgate.net/project/Public-Safety-Communication-in-the-Context-of-Terrorist-Attacks-NATO-SPS-G5482
Project on TTU website: ttu.ee/nato-sps
August 2018 [Summer School]
Professor Yannick Le Moullec and five students from Tallinn University of Technology are participating in the summer school organized by Beijing Institute of Technology, Beijing, China. The summer school is titled Belt and Road Student Summer Camp-Beijing. It runs from 29 July to 17 August 2018; the theme is Green and Autonomous Vehicles. Informal report: link.
July 2018 [Collaboration]
Professor Yannick Le Moullec visited NTUT, Taipei, Taiwan. Photo here.
June 2018 [Participation in ETSI SmartBAN standardisation]
On 5 June 2018, the COEL ERA-Chair holder, Muhammad Mahtab Alam, participated in the 16th Technical Committee Meeting of ETSI SmartBAN Standard in Geneva, Switzerland. This marks the beginning of our contributions to the on-going ETSI SmartBAN standardization effort; this will not only allow us to showcase the competences developped through the COEL project but will also give us the opportunity to network and collaborate with worldwide experts.
Photos are available here.
May 2018 [Open postdoc position]
We currently have an open postdoc position in Medium Access Control for Ultra-Reliable Low-latency Communication for Future 5G-IoT Networks. Click here for more details.
May 2018 [RACT-5G-IoT Workshop]
9 May 2018: the COEL ERA-Chair holder Muhammad Mahtab Alam chaired the RACT-5G-IoT workshop (organized as part of the COEL project) during ANT 2018 conference, Porto, Portugal. Photos here.
April 2018 [Collaboration]
2 April to 7 July 2018: PhD student Yohann Rioual from Lab-STICC/Université de Bretagne Sud is visiting us. During his stay, Yohann will work on issues related to reinforcement learning for energy management in low power IoT, approximate computing, and near-sensing computing. See photo here.
Older news can be found by clicking here.