by Julia Cervera-Vallés
It is our pleasure to announce that Rohan Thekkemarickal Money's conference paper, co-authored with Dr. Joshin Parakkulangarayil Krishnan and Prof. Baltasar Beferull-Lozano, has received one of the Best paper Awards in the IEEE Data Science & Learning Conference:
Rohan Thekkemarickal Money, Joshin Parakkulangarayil Krishnan, Baltasar Beferull Lozano «Online non-linear Topology Identification from Graph-connected time-series», IEEE DSLW 2021.
See UiA news about this Award.
Abstract: Estimating the unknown causal dependencies among graph-connected time series plays an important role in many applications, such as sensor network analysis, signal processing over cyber-physical systems, and finance engineering. Inference of such causal dependencies, often know as topology identification, is not well studied for non-linear non-stationary systems, and most of the existing methods are batch-based which are not capable of handling streaming sensor signals. In this paper, we propose an online kernel-based algorithm for topology estimation of nonlinear vector auto-regressive time series by solving a sparse online optimization framework using the composite objective mirror descent method. Experiments conducted on real and synthetic data sets show that the proposed algorithm outperforms the state-of-the-art methods for topology estimation.
Dr. Yves Teganya a PhD Research fellow at WISENET Center, Department of ICT, University of Agder defended his thesis entitled “Machine Learning Tools for Radio Map Estimation in Fading-Impaired Channels“ on Friday 13 November 2020.
Congratulations to Yves!!!
The thesis is available here: PHD_Thesis_Yves Teganya
He also presented a trial lecture entitled “mmWave communications for immersive media delivery”
First opponent: Associate Professor Olav Tirkkonen, Aalto University, Finland.
Second opponent: Associate Professor Suzan Bayhan, University of Twente, Zilverling, NL.
Associate Professor Lei Jiao, Department of Information and Communication Technolog, University of Agder, is appointed as the administrator for the assessment commitee.
Supervisors were Associate Professor Daniel Romero (main superviosor) and Professor Baltasar Beferull-Lozano (co-supervisor).
Bakht Zaman a PhD Research fellow at WISENET Center, Department of ICT, University of Agder defended his thesis entitled “Online Machine Learning for Graph Topology Identification from Multiple Time Series“ on Thursday 29 October 2020.
Congratulations to Bakht!!!
The thesis is available here: PhD_Thesis_Bakht Zaman-Print
He also presented a trial lecture entitled "Covariance Estimation: Theory and Applications"
His PhD project is funded by the PETROMAKS (Norwegian only) Smart-Rig grant 244205, see also Petromaks 2 - Large-scale Programme for Petroleum Research.
Bakht Zaman: (1990, Mardan, Pakistan) B.S degree in Electronics Engineering from COMSATS Institute of Information and Technology, Abbottabad, Pakistan (2012) and M.S degree from Faculty of Electrical Engineering, Ghulam Ishaq Khan Institute of Engineering Sciences and Technology, Topi, Pakistan (2015). In January 2016, he started his studies towards the PhD degree at WISENET Center, Department of ICT, University of Agder, Norway.
First opponent: Professor Antonio Garcia Marques, University King Juan Carlos, Spain
Second opponent: Professor Antonio Ortega, University of Southern California, USA
Professor Christian Walter Peter Omlin, Department of ICT, University of Agder, is appointed as the administrator for the assessment commitee.
Supervisors were Professor Baltasar Beferull-Lozano, UiA (main supervisor), Associate Professor Daniel Romero, UiA and Postdoctoral Research Fellow Luis Miguel Lopez Ramos, UiA (co-supervisors)
Dr. Mohamed Gafar Ahmed Elnourani a PhD Research fellow at WISENET Center, Department of ICT, University of Agder defended his thesis entitled “Non-convex Optimization for Resource Allocation in Wireless Device-to-Device Communications “ on Friday 9 October 2020.
Congratulations to Mohamed!!!
The thesis is available here: PhD_Thesis_Mohamed Elnourani-Print
He also presented a trial lecture entitled “Machine Learning for Resource Allocation in Wireless Networks”
First opponent: Professor Carlo Fischione, KTH Royal Institute of Technology, Sweden
Second opponent: Professor Kimmo Kansanen, NTNU - Norwegian University of Science and Technology
Associate Professor Lei Jiao, Department of Information and Communication Technology, University of Agder, is appointed as the administrator for the assessment commitee.
Supervisors were Professor Baltasar Beferull-Lozano, Department of Information and Communication Technology, UiA (main supervisor) and Associate Professor Daniel Romero, Department of Information and Communication Technology, UiA (co-supervisor)
Master student Jyoti Bhatia from IIT Indore is funded by the Female Talented Young Researchers (Talentutvikling eller Kjønnsbalanse Program).
She is doing a Master Thesis at UIA WISENET Centre, with Associate Professor Linga Reddy Cenkeramaddi as her Master Thesis supervisor and with the support of several other researchers from the Centre.
The Talentutvikling eller Kjønnsbalanse Program is promoted and supported by our Dean Michael Rygaard Hansen at the Faculty of Engineering and Science.
Wisenet Lab has been granted a UAV project called “Low-altitude UAV Communication and Tracking (LUCAT)", under Indo-Norwegian researcher projects within ICT call (INDNOR), in collaboration with IISc Bangalore, India.
The project will strengthen research collaboration between Norway and India within smart environments, communication technologies and address societal challenges by improving environmental monitoring and security and robustness in energy infrastructures.
Total number of applications processed for the call: 50 Number of projects awarded funding: 5 Total funding of LUCAT project: 10.3 MNOK (NFR funding: 10 MNOK)
Big Data meets Graph Signal Processing Baltasar Beferull-Lozano, professor, Universitetet i Agder
Oslo: Møte 21. februar 2018 at Norske Videnskaps-Akademi
There has been significant recent progress in the development of signal processing tools that operate directly over graph-structured data. Many datasets in multiple real applications can be modeled flexibly in terms of the so-called graph signals, where each node of the graph represents essentially one or several data time-series and the links connecting the nodes represent some type of space-time dependencies among the various data time-series. The emergence of very diverse and ubiquitous computing, communicating and sensing devices has led to an era where huge amounts of data (big data) are generated constantly. Examples of applications include industrial plants, cyber-physical networked sensor systems, water distribution networks, connectivity brain networks, finance networked systems and social networks, among others. This talk will provide an overview about the recent area of Graph Signal Processing, exploring recent results, challenges and applications. We will illustrate the key concepts and cover different data processing methods for machine learning tasks over graph signals, their computational efficiency, and their impact in several important applications.
Møtet er åpent for alle interesserte
The skills generated by this projects will be a long-term resource for digitalization in business and public sector, 23 projects are on to the second round when the Research Council is to strengthen basic ICT research in Norway. UiA WISENET leads one of the projects that are in for the second round.