Predavanja možete pratiti i online putem MITEAM stranice Seminara za računarstvo i primenjenu matematiku:
https://miteam.mi.sanu.ac.rs/asset/qGapAHyEBad2FDwXR
PLAN RADA SEMINARA ZA OKTIBAR 2025. GODINE
Utorak, 07.10.2025. u 14:15, Knez Mihailova 36, sala 301f i
Online
Zorica Bogdanović, Fakultet organizacionih nauka, Univerzitet u Beogradu
DEEP TECH U VISOKOŠKOLSKOM OBRAZOVANJU: KONCEPTI, IZAZOVI I ISKUSTVA
U ovom predavanju biće razmatran problem uvođenja koncepata deep tech inovacija i preduzetništva u programe formalnog i neformalnog visokog obrazovanja. Biće analizirana različita shvatanja i definicije pojma deep tech, i izazovi u uvođenju deep tech koncepata u obrazovne programe. Biće predstavljena iskustva sa Katedre za elektronsko poslovanje FONa u uvođenju deep tech tema u programe formalnog obrazovanja kroz prilagođavanje sadržaja predmeta i aktivnosti studenata, kao i u programe neformalnog obrazovanja, kroz organizaciju letnjih škola i bootcampova. Biće predstavljeni studentski projekti realizovani u okviru letnje škole Tehnologije elektronskog poslovanja 2025. Predavanje će uključiti i analizu rezultata i planove budućeg rada projekta TROPHY – The next generation of deep tech leaders, koji finansira EIT HEI.
Utorak, 14.10.2025. u 14:15, Knez Mihailova 36, sala 301f i
Online
Luka Matijević, Matematički institut SANU
HYBRIDIZATION OF METAHEURISTICS WITH MACHINE LEARNING METHODS
Recently, researchers have begun combining metaheuristics with machine learning techniques, an approach known as
learnheuristics, to improve performance through adaptive parameter tuning, guided search, and learning from past experience. This lecture explores how machine learning can enhance metaheuristic algorithms. In particular, we investigate the use of reinforcement learning to dynamically select and order neighborhood structures, aiming to improve convergence and avoid local optima. Additional topics include ML-based preprocessing and hyperparameter tuning strategies that further boost metaheuristic efficiency.
Utorak, 21.10.2025. u 14:15, Online
Tian Lan, Electrical and Computer Engineering Department, School of Engineering and Applied Science, George Eashington University, USA
MULTI-AGENT DECISION-MAKING IN THE OPEN WORLD
AI/ML has demonstrated tremendous success in many challenging tasks with superhuman performance. Many decision-making problems in the open world are too complex to be modeled as a monolithic single-agent problem and thus require the formulation of multi-agent decision making. In this talk, we present some recent research progress on multi-agent decision-making in the open world. We will discuss some key challenges in this space, such as collaborative decision making, multi-agent skill discovery, game-theoretical formulations, and human-AI collaboration. We will also demonstrate several applications of the results to real-world network infrastructures, such as datacenter resource reservation and 5G network management.
Utorak, 28.10.2025. u 14:15, Knez Mihailova 36, sala 301f i
Online
Dragan Vukmirović, Fakultet organizacionih nauka, Univerzitet u Beogradu
Marina Jovanović Milenković, Fakultet za projektni i inovacioni menadžment
PREDSTAVLJANJE KNJIGE GENERATIVNA VEŠTAČKA INTELIGENCIJA: PRINCIPI I PRIMENA U SAVREMENOM POSLOVANJU
Knjiga "Generativna veštačka inteligencija: Principi i primena u savremenom poslovanju" pruža sveobuhvatan uvid u teorijske i praktične aspekte Generativne veštačke inteligencije (Gen AI). U okviru predavanja, autori će predstaviti ključne koncepte, arhitekture modela (LLM, GAN, VAE), kao i njihov transformacioni potencijal u savremenom poslovanju i elektronskoj trgovini. Poseban naglasak biće stavljen na etičke dileme, pitanja autorstva, plagijarizma i intelektualne svojine, kao i na izazove poput halucinacija i pristrasnosti. Kroz studije slučaja, biće ilustrovana praktična primena Gen AI, od unapređenja SEO-a i analize podataka, do kreiranja autonomnih AI agenata u različitim industrijama. Cilj je da se slušaoci osnaže za odgovornu i promišljenu upotrebu ove revolucionarne tehnologije.
RUKOVODIOCI SEMINARA
MI SANU
Vera Kovačević-Vujčić
Milan Dražić
FON
Zorica Bogdanovic
Marijana Despotovic-Zrakic
IEEE
Bozidar Radenkovic
