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 APRIL 2026.

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Četvrtak, 16.04.2026. u 13:00, Pariske Komune bb, Niš i Online
Aleksa Bogdanović, Mathematical Institute of the Serbian Academy of Sciences and Arts
GROUPED DEPTHWISE SEPARABLE TEMPORAL CONVOLUTIONAL NETWORKS WITH SQUEEZE-AND-EXCITATION ATTENTION FOR EFFICIENT MULTIVARIATE FORECASTING
TCNs have been shown to be highly effective alternatives to RNNs in sequence modeling tasks. They provide stable training, parallelization, and efficient learning of long-term dependencies using dilated convolutions. However, their classical implementation has some inefficiencies, such as large-width convolutional layers that significantly increase computational complexity with increasing network depth. To solve this problem, by redesigning the inner workings of a TCN block, grouped depthwise separable filters are employed that divide the learning process into two parts: channel-wise spatial filters followed by pointwise cross-channel mixing filters, resulting in a drastic reduction in the number of parameters without sacrificing representational capacity. Furthermore, the Squeeze-and-Excitation technique introduces an adaptive weighting scheme for channel-wise information at each block, allowing the model to selectively attenuate less relevant channels while enhancing more important ones. The proposed method retains all beneficial properties of the classical TCN framework, while achieving up to multiple times fewer trainable parameters than the baseline.

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Četvrtak, 23.04.2026. u 13:00, Online
Bojana Ćendić, University of Novi Pazar
MATHEMATICAL FORMULATION AND VNS OPTIMIZATION FOR COLLABORATIVE LEARNING GROUP FORMATION
In this presentation, a study on a mathematical approach for the formation of four-member collaborative learning groups is presented. Group formation is presented by the mathematical optimization problem. Based on the proposed approach and the variable neighbourhood search (VNS) algorithm, the application that solves the presented problem and provides the appropriate division into groups is created. The proposed approach considers the scores of a pretest, interpersonal relationships, and prosocial behaviour/openness skill of students. In order to validate our approach, an experiment was designed with 108 first-year university students. Experimental and control groups were divided into four-member groups. The experimental group was divided by using the proposed method and the control group by student selection and random selection. Multilevel analysis is used to determine whether there is a significant difference in learning outcomes between the two groups. The experimental results showed that students from the experimental group achieved significantly higher success than the students from the control group. In addition, computational results obtained with the proposed VNS algorithms are compared and verified with the results obtained by random (Monte Carlo) method. Zajednički sastanak sa Seminarom za računarstvo i primenjenu matematiku

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Četvrtak, 30.04.2026. u 13:00, Online
Muzafer Saračević, University of Novi Pazar
APPLICATION OF CATALAN NUMBERS IN THE DEVELOPMENT OF CRYPTOGRAPHIC AND STEGANOGRAPHIC METHODS
The application of Catalan numbers in the development of cryptographic and steganographic methods makes a significant theoretical and practical contribution to the field of information security, as it introduces a new mathematical framework based on combinatorial structures for designing secure and efficient algorithms. Catalan numbers used as cryptographic keys perform well across all 12 NIST security tests. Moreover, if a key possesses the properties of Catalan numbers or related objects, one of their representations (combinatorial problems) can be successfully applied, with over 90 different representations available. Thanks to their complex and rich structure, Catalan objects enable the generation of unpredictable patterns, increasing system resistance to various attacks, including cryptanalysis and steganalysis. This approach is particularly valuable in modern distributed environments, such as IoT systems, where resources are limited and security requirements are high. It also enhances data-hiding techniques by achieving a better balance between capacity, imperceptibility, and robustness, paving the way for the development of new generations of reliable and scalable security solutions. Additionally, the proposed models for cryptographic key exchange improve communication security in dynamic and heterogeneous networks, ensuring resilience against attacks. In steganography, these structures allow imperceptible and robust embedding of information in digital media. The theoretical significance lies in extending the application of combinatorics in information security, while the practical aspect offers concrete solutions for modern distributed systems. Overall, these approaches represent an important step toward developing a new generation of cryptographic and steganographic methods.

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