The Doctoral Workshop was organized with the aim to provide Ph.D. candidates with an opportunity to present their research projects and their scientific questions to their peers and international academic experts in the domain of Big Data analytics. Another goal of the Workshop was to develop a supportive community within which students can begin to develop their professional networks, interacting with peers and senior scholars from the field. This 1st edition, co-located with the LAMBDA Big Data Analytics summer school located in Belgrade (Serbia), gathered the community around nine research publications, three talks and one invited keynote presentation. The event took place online on the 17th of June, 2021.
Big Data refers to data sets which have large size and complex structure.
The data size can range from dozens of terabytes to a few zettabytes and is
still growing [
Our overall objectives are to stimulate scientific excellence and innovation
capacity, to increase the research capacities and to unlock the research potential
in the ICT area in the whole West Balkan region, turning the partner-institutes
into regional points of reference when it comes to multidisciplinary ICT
competence related to Big Data analytics. In early 2018, the consortium started
activities for improving the skills and competences for smart data management
through a set of actions such as: the organization of international events
(training, workshops, webinars, conferences), the development of a specific learning kit
about Big Data Analytics [
In particular, to increase the audience and the availability of our initiative, we developed an online knowledge repository to help students acquiring new skills:
<https://project-lambda.org/Learning>
The learning materials that were produced are free, stored in a public repository
and available online [
Since 2019, among the various activities of the project, the LAMBDA consortium organized three editions of the Big Data Analytics Summer School in Belgrade (Serbia) where students were able to connect with experts and to receive lectures and advice from them. This year, during the 2021 edition of the summer school, we organized for the first time a Ph.D. day as the community is getting momentum, in order to give Ph.D. students a place to present their current state of research efforts.
The Ph.D. workshop started with the keynote entitled “Hints to Save Time when
dealing with Big Data” given by Dr. Damien Graux from Inria2 (France). He
described how to adopt strategies which should help Big Data practitioners to
fasten their processes and tasks [
Then, a session on Semantic Web tools in the context of Big Data happened. It was composed of two articles [4, 1]. Next a session dealing with big textual resources was organized. Three papers were presented: Gjorgjevikj et al. on detecting sustainable development indicators through text; Mishev et al. focused on text-to-speech for Macedonian; and [6] proposed a blockchain-based platform for logs of citizens’ consents. After the lunch break, the third and fourth sessions gathered articles addressing energy challenges. Numerical tools for combustion behaviors predict were presented in [7]. In [8] and [2], authors respectively discussed how to detect faults in distribution networks and how to detect events in power cables. A machine learning based wind turbine production forecaster 1 Downloaded more than 65 000 times as of December 2021. 2 https://dgraux.github.io/ was then presented by Pujić and Janev. Efforts to develop a control platform dedicated to renewable energy were discussed in [9]. Efficiently benchmarking smart home challenges were explained [3]. And finally, a coordination platform for handling emergencies and restoration of power grid was introduced [5]. Organizing Committee – Heba Mohamed, University of Bonn, Germany – Nikola Tomašević, Institute Mihajlo Pupin, Serbia – Marko Batić, Institute Mihajlo Pupin, Serbia International Doctoral Committee – Valentina Janev, Institute Mihajlo Pupin, Serbia (Chair) – Sanja Vraneš, Institute Mihajlo Pupin, Serbia – Lazar Berbakov, Institute Mihajlo Pupin, Serbia – Emanuel Sallinger, University of Oxford, UK – Anastasia Dimou, imec and Ghent University, Belgium – Diego Collarana, Fraunhofer IAIS, Germany – Maria-Esther Vidal, TIB, Leibniz University Hannover, Germany – Jens Lehmann, University of Bonn, Germany – Damien Graux, Inria, Université Côte d’Azur, CNRS, I3S, France – Hajira Jabeen, CEPLAS, Technische Universität Dresden, Germany – Andrej Čampa, ComSensus, Slovenia – Marcus Keane, National University of Ireland, Galway, Ireland – Dimitar Trajanov, Ss. Cyril and Methodius Univ, Skopje, North Macedonia – Johannes Stöckl, Austrian Institute of Technology, Austra – Federico Seri, National University of Ireland, Galway, Ireland – Luis Miguel Blanes Restoy, National University of Ireland, Galway, Ireland – Brankica Pažun, School of Engineering Management, Serbia – Neven Vrček, Faculty of Organization & Informatics, Univ of Zagreb, Croatia – Paulo Lissa, National University of Ireland, Galway, Ireland
We would like to thank all the authors, reviewers, committee members and the invited speaker for their contributions, support and commitment during this particularly challenging year.
This event was supported by the European Union Horizon 2020 project LAMBDA (Grant Agreement No. 809965). In addition, it received the sponsoring support of the Ministry of Science and Technological Development of the Republic of Serbia (No. 451-03-9/2021-14/200034) and the Science Fund of the Republic of Serbia (Artemis, No.6527051).