First Serbian International Conference on Applied Artificial Intelligence

Invitation and Venue

It is our great pleasure to invite you to the First Serbian International Conference on Applied Artificial Intelligence (SICAAI).

The Congress will be held in Kragujevac, Serbia, on May 20th, 2022. Kragujevac is the fourth largest city in Serbia and the administrative center of the Šumadija District. Today, the city represents a modern industrial and commercial center of the country. It enjoys the status of an education center housing the University of Kragujevac, one of the region’s largest higher education institutions.

The Congress will be held on the premises of the Rectorate of University in Kragujevac (Jovana Cvijića bb, 34000 Kragujevac, Serbia) and online via Big Blue Button service of the University of Kragujevac.

Objectives

Artificial intelligence (AI) has revolutionized information technology. The new economy of information technology has shaped the way we live today.

The Serbian International Conference on Applied Artificial Intelligence (SICAAI) will provide an excellent international forum for sharing knowledge and results in theory, methodology and applications of Artificial Intelligence and Machine Learning in academia and industry.

Nowadays, artificial intelligence has been used in every company where intelligence elements are embedded inside sensors, devices, machines, computers and networks. The conference organizers aim to gather the attention and contribution from researchers, academicians, and scientists from various fields of Artificial Intelligence community to create an integrated approach towards global exchange of information on technological advances, scientific innovations, and the effectiveness of various regulatory programs towards Artificial Intelligence application.

It also aims to:

  • provide early stage researcher with an inspiring event allowing them to connect to relevant experts in related fields.
  • provide an exciting venue for researchers to network and establish national and international collaborations;
  • bring together leading experts from all relevant scientific domains to advance the understanding of Artificial Intelligence.

Mini-Symposia

Call for mini-symposium is still open until December 25th, 2021. Please download and use mini-symposium template proposal by clicking HERE. Each mini-symposium may have one or more organizers. Organizers have to attend the conference and chair their session. Each mini-symposium should include at least 3 presentations. It is recommended that the Organizers invite a senior researcher to give a ‘mini-symposia keynote’. Each presentation will be scheduled for 15 minutes including questions and answers. The organizers are responsible to contact the speakers to participate and present in their session. The abstracts will be submitted and reviewed via the conference system. Please note that the AAI 2022 Conference program can have only one presentation per person. Mini-symposium proposals should be submitted by email to: AAI2022@kg.ac.rs.

Important Dates

  • Submission of scientific contributions (extended abstracts on two or four pages) deadline: January 31st, 2022
  • Notification of acceptance deadline: March 1st, 2022
  • Registration fee payment deadline: April 10th, 2022

Organizers

  • University of Kragujevac
  • Serbian Academy of Sciences and Arts
organizers

Plenary Speakers

  • Prof. Zoran Obradović – Temple University
  • Prof. Michalis Zervakis – Technical University of Crete
  • Prof. Sašo Džeroski – IJS Ljubljana
  • Prof. Themis Exarchos – Ionian University

 

Prof. Zoran Obradović – Temple University

Title: Machine Learning from Streaming Data with Scarce and Imprecise Labels

Abstract

Accurate predictions at multiple temporal and spatial scales from many sensors can potentially enable innovations across various industries. For example, moving from corrective to predictive maintenance of complex infrastructure based on knowledge extracted by many instruments could be more cost effective since this can facilitate early and interpretable risk predictions with uncertainty estimates and allow optimization of damage mitigation and prevention strategies. Similarly, in proactive emergency monitoring, a network of sensors could estimate operating conditions before they occur, which can direct deployment of control measures for avoiding undesirable outcomes. In this talk an overview of our recently developed methods to facilitate such end-to-end solutions will be discussed within the context of our ongoing DOE funded project aimed at predictive analytics in a large electricity grid from multiple phasor measurement units. Challenges and the proposed solutions will be discussed related to (1) deep-learning based detection and classification of local and system-wide events using rapidly refined, partially inspected event labels; (2) digital-twin based data enhancement for events insufficiently represented in field-recordings over the training period; and (3) transfer learning to leverage relevant labeled events from a different network to minimize additional labeling effort.

Biography

Zoran Obradović is a Distinguished Professor and a Center director at Temple University, an Academician at the Academia Europaea (the Academy of Europe) and a Foreign Academician at the Serbian Academy of Sciences and Arts. He mentored 45 postdoctoral fellows and Ph.D. students, many of whom have independent research careers at academic institutions (e.g. Northeastern Univ., Ohio State Univ.) and industrial research labs (e.g. Amazon, Facebook, Hitachi Big Data, IBM T.J.Watson, Microsoft, Yahoo Labs, Uber, Verizon Big Data, Spotify). Zoran is the editor-in-chief at the Big Data journal and the steering committee chair for the SIAM Data Mining conference. He is also an editorial board member at 13 journals and was the general chair, program chair, or track chair for 11 international conferences. His research interests include data science and complex networks in decision support systems addressing challenges related to big, heterogeneous, spatial and temporal data analytics motivated by applications in healthcare management, power systems, earth and social sciences. His studies were funded by AFRL, DARPA, DOE, KAUST, NIH, NSF, ONR, and the PA Department of Health and industry. For more details see LINK.

 

Prof. Michalis Zervakis – Technical University of Crete

Title: On the Integration of Radiomics and Transcriptomics Markers

Abstract

During the last years, an increased number of studies investigate the relationship between the imaging features extracted from the tumor region (radiomics) and the gene expression profiles (transcriptomics), in order to contribute in the diagnosis, treatment planning and prognosis of cancer. This talk addresses such interactions among CT imaging features (e.g., shape features, image intensity histogram metrics, texture features) and RNA transcript measurements (expression of selected genes), as a vital means to enhance the predictive power in the diagnosis of cancer. The so-called radiotranscriptomics associations are used for the biological interpretation of the radiomics features based on their transcriptomic substrate. The first part of the talk demonstrates and biologically justifies the transcriptomics-based phenotype of lung cancer, providing a meaningful functional representation of the radiomics features. The second part of validation confirms the potential of radiomics in enhancing the predictive power of gene expression profiles, supporting the connection and complementarities between the transcriptome and the phenotype in cancer.

Biography

Michalis E. Zervakis holds a Ph.D degree from the University of Toronto, Department of Electrical Engineering. He joined the Technical University of Crete on January 1995, where he is serving as Professor at the School of Electrical and Computer Engineering. He was an assistant professor with the University of Minnesota-Duluth, USA, from September 1990 to December 1994. Prof. Zervakis is the director of the Digital Image and Signal Processing Laboratory (DISPLAY) at the Technical University of Crete. His research interests include modern aspects of signal and image processing, data mining and pattern recognition, imaging systems and integrated automation systems. Under his direction, the DISPLAY lab LINK covers a wide range of design, analysis, implementation and validation areas. Applications include bioinformatics, biosignal analysis and medical Imaging, biomarker selection from mass genomic data, time-frequency biosignal and EEG characterization, modeling of disease state and progression, as well as cancer research on diagnosis & prognosis. He is coauthor in more than 280 scientific papers in international journals and conference proceedings. He has participated in several national and European research projects and has participated in the scientific committees of several IEEE conferences. He served as Associate Editor in the “IEEE Transactions on Signal Processing” from 1994 to 1996. He currently serves as associate editor in IEEE Transactions on Biomedical and Health Informatics as well as in the journal of Biomedical Signal Processing and Control.

Organizing Committee​

Co-chairs:

  • Nenad Filipović, University of Kragujevac
  • Miloš Kojić, Serbian Academy of Sciences and Arts 
  • Miloš Đuran, Serbian Academy of Sciences and Arts  
  • Vesna Ranković, University of Kragujevac 
  • Vladimir Ranković, University of Kragujevac
  • Dragan Đurčić, University of Kragujevac
  • Dušan Teodorović, Serbian Academy of Sciences and Arts
  • Zoran Lj. Petrović, Serbian Academy of Sciences and Arts
  • Steva Todorčević, Serbian Academy of Sciences and Arts

Local Organization:

  • Tijana Šušteršič, University of Kragujevac
  • Smiljana Tomašević, University of Kragujevac
  • Aleksandra Vulović, University of Kragujevac
  • Anđela Blagojević, University of Kragujevac
  • Nikola Radovanović, University of Kragujevac
  • Đorđe Dimitrijević, University of Kragujevac
  • Dalibor Nikolić, University of Kragujevac
  • Igor Saveljić, University of Kragujevac
  • Milica Kaplarević, University of Kragujevac
  • Marija Gačić, University of Kragujevac
  • Neda Vidanović Miletić, University of Kragujevac
  • Branko Urošević, School of Computing, Union University
  • Boban Stojanović, University of Kragujevac
  • Miloš Ivanović, University of Kragujevac
  • Branko Arsić, University of Kragujevac

Program Committee:

  • Martin Aleksandrov (TU Berlin, Germany)
  • Sandra Avila (University of Campinas (Unicamp), Brazil)
  • Christian Blum (Spanish National Research Council (CSIC), Spain)
  • Carlos Cardonha (University of Connecticut, United States)
  • Vinay Chaudhri (United States)
  • John Chinneck (Carleton University, Canada)
  • Andy Chun (City University of Hong Kong, Hong Kong)
  • Andre Augusto Cire (University of Toronto, Canada)
  • Bradley Clement (Jet Propulsion Laboratory, United States)
  • Dubravko Ćulibrk (University of Novi Sad, Serbia)
  • Veljko Milutinović (University of Kragujevac and University of Belgrade, Serbia)
  • Diane Cook (Washington State University, United States)
  • Gabriella Cortellessa (CNR-ISTC, National Research Council of Italy, Italy)
  • Lizhen Cui (Shandong University, China)
  • Akay Metin (University of Houston, USA)
  • Allen Robert (University of Southampton, UK)
  • Zoran Bosnić (University of Ljubljana, Slovenia)
  • Zlatan Car (Univeristy of Rijeka, Croatia)
  • Ciaccio Edward (Columbia University, USA)
  • Themis Exarchos (University of Ioannina, Greece)
  • Dimitrios Fotiadis (University of Ioannina, Greece)
  • Nikola Jorgovanović (University of Novi Sad, Serbia)
  • Zoran Marković (IIT, Serbia)
  • Michalopoulos George (University of Pittsburgh, USA)
  • Nikita Konstantina (National Technical University of Athens, Greece)
  • Zoran Obradović (Temple University, USA)
  • Ouzounis Christos (King’s College, UK)
  • Pattichis Constantinos (University of Cyprus, Cyprus)
  • Sheu Phillio (University of California, USA)
  • Stojanović Radovan (University of Montenegro, Montenegro)
  • Miroslav Trajanović (University of Niš, Serbia)
  • Tsiknakis Manolis (Hellenic Mediterranean University,  Greece)
  • Yang Guang-Zhong (Imperial College London, UK)
  • Zervakis Michalis (University of Crete, Greece)
  • Andre de Carvalho (University of São Paulo, Brazil)
  • Luca Di Gaspero (DPIA – University of Udine, Italy)
  • Matthew Gaston (Carnegie Mellon University, United States)
  • Carmen Gervet (Université de Montpellier, France)
  • Odd Erik Gundersen (Norwegian University of Science and Technology, Norway)
  • Koen Hindriks (Vrije Universiteit Amsterdam, Netherlands)
  • Neil Jacobstein (Singularity University, United States)
  • Binbin Jia (Southeast University, China)
  • Elias Khalil (Georgia Institute of Technology, United States)
  • Lars Kotthoff (University of Wyoming, United States)
  • Hoong Chuin Lau (Singapore Management University, Singapore)
  • Jimmy Lee (The Chinese University of Hong Kong, Hong Kong)
  • Lee Mccluskey (University of Huddersfield, United Kingdom)
  • Felipe Meneguzzi (Pontifical Catholic University of Rio Grande do Sul, Brazil)
  • Mitra Nasri (Delft University of Technology, Netherlands)
  • Barry O’Sullivan (University College Cork, Ireland)
  • Michael Orosz (University of Southern California Information Sciences Institute, United States)
  • Simon Parsons (University of Lincoln, United Kingdom)
  • Andrew Perrault (Harvard University, United States)
  • David Pynadath (University of Southern California, United States)
  • Claude-Guy Quimper (Laval University, Canada)
  • Howard Shrobe (Massachusetts Institute of Technology, United States)
  • Madhav Sigdel (University of Alabama in Huntsville, United States)
  • David Stracuzzi (Sandia National Laboratories, United States)
  • Dimitris Stripelis (University of Southern California, United States)
  • Nirmalya Thakur (University of Cincinnati, United States)
  • Kevin Tierney (Bielefeld University, Germany)
  • Michael Trick (Carnegie Mellon University, United States)
  • Pradeep Varakantham (Singapore Management University, Singapore)
  • Deng-Bao Wang (Southeast University, China)
  • Shinjae Yoo (Brookhaven National Laboratory, United States)
  • Yingqian Zhang (Eindhoven University of Technology, Netherlands)
  • Dubravko Ćulibrk (University of Novi Sad, Serbia)
  • Jovan Stojanović (Serbian AI Society, Serbia)
  • Stefan Badža (Serbian Government, Serbia)