Seminar for
DECISION MAKING – THEORY, TECHNOLOGY AND PRACTICE

 

PROGRAM

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Predavanja možete pratiti i online putem MITEAM stranice Seminara Odlučivanje - teorija, tehnologija, praksa:
https://miteam.mi.sanu.ac.rs/asset/sEL32w8mjmruyeEqW

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Plan rada Seminara Odlučivanje - teorija, tehnologija, praksa za DECEMBAR 2025.

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Četvrtak, 04.12.2025. u 13:00, Online
Tamara Tagliavia, Mathematical Institute of the Serbian Academy of Sciences and Arts
FORMALIZING PRIVACY: A JOURNEY THROUGH K-ANONYMITY, DIFFERENTIAL PRIVACY, AND BEYOND
In the digital age, the concept of privacy has evolved from a social norm into a mathematically defined property of data. This talk explores the theoretical models that have shaped our understanding of data privacy over the past two decades. In the first part, we examine foundational approaches like k-anonymity, l-diversity, and t-closeness. These models provide intuitive mechanisms for anonymization but face some limitations in the presence of background knowledge. In the second part, we turn to more sophisticated models like inverse privacy, differential privacy, and contextual integrity. They extend the scope of privacy modeling beyond simple anonymization. Finally, we discuss the applications of these models.

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Utorak, 16.12.2025. u 14:15, Pariske Komune bb, Niš i Online
Danijel Danković, Faculty of Electronic Engineering, University of Nis, Nis
NFC TECHNOLOGY IN IOT SYSTEMS: APPROACHES AND IMPLEMENTATIONS
This lecture focuses on examples of applying NFC (Near Field Communication) technology in Internet of Things (IoT) systems. Various types of NFC implementations will be presented, with special emphasis on practical realizations of selected applications. The designed IoT systems are based on ESP32 microcontrollers and are connected to commercial NFC chips with the goal of enabling data transfer from a user with an NFC tag or an NFC smartphone to a server for further processing. Examples of machine learning models for improving communication efficiency will be presented, with particular attention to the implementation of these models on edge devices, as well as the assessment of the reliability of this approach. Joint Seminar meeting with Computer Science and Applied Mathematics.

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Ponedeljak, 29.12.2025. u 13:00, Online
Lazar Velimirović, Mathematical Institute of the Serbian Academy of Sciences and Arts
MARKOV LOGIC NETWORKS
Markov Logic Networks (MLNs) represent a framework to reason under uncertainty in complex structured domains that combine first-order logic and probabilistic graphical models. This lecture will cover the foundation of MLNs, including the combination of probabilistic and logical reasoning, the structure of an MLN, and methods for inference and learning. The audience will see how probabilistic weights are used in MLNs to allow soft constraints and hear about a range of applications that use MLNs in real-world domains such as decision support systems. The lecture will show how MLNs can bridge the gap between statistical methods and symbolic AI.

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