15. Srpski matematički kongres, 19-22. jun 2024.

Sa velikim zadovoljstvom najavljujemo 15. Srpski matematički kongres, nacionalni skup sa međunarodnim učešćem, koji će se održati od 19. do 22. juna 2024. godine, u organizaciji Matematičkog fakulteta-Univerziteta u Beogradu i Društva matematičara Srbije, a u saradnji sa brojnim naučno-istraživačkim organizacijama prirodno-matematičke grupacije iz cele Srbije.

Ovaj Kongres predstavlja ne samo glavni naučni skup u oblasti matematike u našoj zemlji ove godine, već i jedan značajan događaj na međunarodnoj naučnoj sceni u oblasti matematičkih i računarskih nauka.

Otvaranje Kongresa je 19. juna 2024. u svečanoj sali Rektorata Univerziteta u Beogradu sa početkom u 10 časova.

Program Kongresa
 
Knjiga apstrakata

Više informacija o Kongresu može se naći na sajtu www.smak15.matf.bg.ac.rs

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Predstavljanje izveštaja o urađenoj doktorskoj disertaciji Bojane Todić, 20.06.2024. godine

Predstavljanje izveštaja o urađenoj doktorskoj disertaciji: „Kombinatorni problem sakupljanja kupona sa proširenom kolekcijom“, kandidata Bojane Todić, biće održano  20. 6. 2024. godine u sali 830, sa početkom u 17 časova.

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Seminar za veštačku inteligenciju, 19. jun 2024.

Naredni sastanak Seminara biće održan onlajn u sredu, 19. juna 2024, sa početkom u 19 časova.
 
Predavač: Ivana Luknar, Institut za političke studije, Beogad
 
Naslov predavanja: ARTIFICIAL INTELLIGENCE: RISKS AND POSSIBILITIES
 
Apstrakt:
The modern world has changed significantly, and is still changing under the influence of new technologies. As Gerd Leonhard notes, science fiction is increasingly becoming science fact. The question arises to what extent is modern society elastic to accept the upcoming changes? Will the effects of these changes be so turbulent and destructive, or will we overcome them like a short storm; depends on us? The effects are dual nature, and whether the challenges or opportunities will prevail depends on us.
 
Artificial Intelligence has engendered a great deal of excitement and controversy. Our fascination with AI runs deeper than fear. The allure of AI is unquestionable. Worldwide AI debate is based on two issues. First issue is connected with its widespread use in a nowadays world without adequate law frame. It concerns the consequences. Second issue is about AI limitations. With risk and consequence, arises question of substantive AI ethic. Its ethical principles are matter of reflections and speculation. That is why some authors see AI as threat. AI is also leading to a whole new generation of autonomous weapons and countless variants of extremely dangerous cyberattack tactics, including “deep fakes”. This of course does not mean that AI is evil per se, but that humans could rely on AI to realize both virtuous and malicious goals, including building more deadly weapons and breaking security walls.

The enormous potential of AI promises to bring significant changes in current and future society. We need to be aware of all its effects, also its social effects. In a world of rapid development of various technological tools the concept of ethics plays a key role in determining how to avoid undesirable outcomes of technology dissemination. The ethics in artificial intelligence (AI) represents current challenge for policy and technology makers. We need to get ready for global race for AI. Governments worldwide face the question of how to best reap the benefits of AI and at the same time how to minimize the risks. It becomes increasingly difficult to understand the ethical implications of our use of technology. This creates problems both for practitioners and regulators. We should be aware of social challenges that AI has been progressively integrated in our societies and we should be able to discuss them.

Napomena: Registraciona forma za učešće na Seminaru je dostupna na linku:
https://miteam.mi.sanu.ac.rs/asset/CW5nJWDSEZDj7p32p

Ukoliko želite samo da pratite predavanje bez mogućnosti aktivnog učešća, prenos je dostupan na linku:
https://miteam.mi.sanu.ac.rs/asset/4LNW8WtML7rLKojoz

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Seminar za računarstvo i primenjenu matematiku, 18. jun 2024.

Naredni sastanak Seminara biće održan onlajn u utorak, 18. juna 2024. sa početkom u 14.15.
 
Predavač: dr Maria Alessandra Montenegro, Fakultet organizacionih nauka
 
Naslov predavanja: MODEL UPRAVLjANjA REZILIJENTNOŠĆU PROJEKTA

Apstrakt: Brojni poremećaji koji su zadesili svet poslednjih nekoliko godina, poput Covid-19 pandemije, doveli su do brojnih oštećenja organizacija širom sveta. Veliki problem uočava se u situacijama kada u okruženju dođe do pojave poremećaja koga nije bilo moguće predvideti. Za suočavanje sa ovakvim izazovima, novija literatura predlaže korišćenje pristupa upravljanje rezilijentnosću projekta. Predmet istraživanja doktorske disertacije je razvoj modela upravljanja rezilijentnošću projekta koji predstavlja sveobuhvatno rešenje za efikasnije upravljanje projektima u situacijama pojave nepredvidivih poremećaja. Evaluacija razvijenog modela rađena je kroz dve faze. Rezultati istraživanja su potvrdili da postoji statistički značajna razlika između grupa ispitanika na čijim su projektima primenjivani elementi predloženog modela u odnosu na grupu ispitanika na čijim projektima isti nisu primenjivani. Kao glavni rezultati istraživanja navode se da model upravljanja  rezilijentnosću projekta obuhvata sve elemente koncepta upravljanja rezilijentnosću prilagođene konceptu upravljanja projektom, da model sadrži metode za planiranje i implementaciju odgovora na nepredvidive poremećaje i metode za oporavak projekta od dejstva nepredvidivih poremećaja, da model podrazumeva primenu u različitim domenima rezilijentnosti projekta i da kao takavom ogućava organizacijama efikasnije upravljanje projektima uprkos pojavi nepredvidivih  poremećaja.

Napomena: Registraciona forma za učešće na Seminaru je dostupna na linku:
https://miteam.mi.sanu.ac.rs/call/wnz6oyxsQsy29LfJA/MjQ__eH607WeAL9X7IFtUI98xdQQgVkp-ljiEKPPfXr

Ukoliko želite samo da pratite predavanje bez mogućnosti aktivnog učešća, prenos je dostupan na linku:
https://miteam.mi.sanu.ac.rs/asset/YoqHWKALRkRTbK9So

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Odbrana doktorske disertacije Jelene Vicanović

Odbrana doktorske disertacije Jelene Vicanović: „Uslovi optimalnosti za izoperimetrijske probleme optimizacije sa neprekidnim vremenom", biće održana 18. 6. 2024. godine u 14 časova u učionici  718.

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Pristupno predavanje za izbor docenta za užu naučnu oblast Računarstvo i informatika

Pristupno predavanje u okviru konkursa za izbor jednog docenta  za užu naučnu oblast: Računarstvo i informatika

Na konkurs se prijavilo  2 kandidata
Kandidati: dr Stefan Mišković i dr Sead Mašović

Naslov predavanja: „Dinamičko programiranje”

Datum, vreme i mesto održavanja:  28. 6.  2024. godine  u 11 časova na Matematičkom fakultetu (Studentski trg 16). 

Članovi komisije:   

1. dr Filip Marić, red. prof.
2. dr Miroslav Marić, red.prof.
3. dr Zoran Ognjanović, naučni savetnik MI SANU

Datum objavljivanja: 12. 6. 2024. godine

 

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Konferencija posvećena Kosti Došenu na MI SANU, 13. i 14. jun 2024.

U Matematičkom institutu u Beogradu 13. i 14. juna 2024. u sali 301f biće održana konferencija u čast pokojnog Koste Došena, istaknutog matematičara i filozofa. Govoriće brojni prijatelji, studenti i kolege.

Program skupa je dostupan na ovom linku:
https://www.mi.sanu.ac.rs/novi_sajt/news/news_pages/kosta70prg.pdf

Prenos skupa možete pratiti na ovom linku:
https://miteam.mi.sanu.ac.rs/call/5jazssgYAMXyj2qt9/YeOnxFBePovXifQ5vbTXpET0RqBuTwCk3eFD6pAZHY4

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Seminar za simplektičku topologiju, 11. jun 2024.

Naredni sastanak Seminara za simplektičku topologiju biće održan u utorak, 11. juna 2024, u sali 840 Matematičkog fakulteta sa početkom u 17 časova.

Predavač: Frol Zapoljski

Naslov predavanja: ON THE CONTACT MAPPING CLASS GROUP OF THE CONTACTIZATION OF MILNORʼS A_m-FIBERS

Apstrakt:
The symplectic isotopy problem for a given symplectic manifold is determining which symplectomorphisms are smoothly isotopic to the identity, but not through symplectomorphisms. Equivalently, this problem concerns the size of the kernel of the natural homomorphism from the symplectic mapping class group to its smooth counterpart. An analogous problem can be posed for a given contact manifold. On the symplectic side, a beautiful construction due to Khovanov-Seidel yields an embedding of the braid group on m+1 strands into the symplectic mapping class group of Milnorʼs A_m-fiber, which is a certain smooth affine variety in any complex dimension at least 2. Moreover, they show that the aforementioned kernel is always large, with its size depending on the dimension. On the contact side we consider the contactization of the Milnor fiber, and show that the composition of the Khovanov-Seidel embedding with a natural lifting homomorphism from the symplectic mapping class group of the fiber to the contact mapping class group of its contactization is injective. In particular, we obtain large subgroups of the contact mapping class group which are smoothly trivial. The proof uses a partially linearized version of the Chekanov-Eliashberg Legendrian contact homology for two-component Legendrian links. Joint work with Sergei Lanzat.

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Seminar Odlučivanje - teorija, tehnologija, 13. jun 2024.

Naredni sastanak Seminara biće održan onlajn u četvrtak, 13. juna 2024. sa početkom u 13 časova.

Predavač: Tatjana Davidović, Mathematical Institute of the Serbian Academy of Sciences and Arts

Naslov predavanja: PROOF-OF-USEFUL-WORK CONSENSUS PROTOCOL BASED ON SOLVING REAL-LIFE OPTIMIZATION PROBLEMS
 
Apstrakt: BlockChain (BC) is a distributed database system, popular for its innovative, unsupervised maintaining process: it uses the so-called consensus protocol (CP) to avoid inference of any third party of absolute trust. As the main issues in maintaining BC, security, privacy, consistency, and energy consumption are identified. According to the recent literature, some of these issues can be formulated as Combinatorial Optimization (CO) problems, and this fact motivated us to consider incorporating the CO approaches into the BC. The main goal of this talk is to summarize the results, related to the above mentioned topic, achieved during the realization of AI4TrustBC project (2020-2023).

We proposed a new Combinatorial Optimization Consensus Protocol (COCP), based on Proof-of-Useful-Work (PoU) concept that assumes solving instances of the real-life CO problems. The main advantages of COCP are efficient utilization of computing resources, solving the real-life instances of CO problems, and providing a broad range of incentives for the various BC participants. We enumerate potential benefits of the COCP with respect to practical impacts and savings in power consumption, describe in detail some illustrative examples, and identify several challenges that should be resolved in order to implement a useful, secure, and efficient PoUW consensus protocol.

We have been developing the BC framework that combines the two above-mentioned research fields: BC and CO. It involves some basic steps toward the implementation of COCP. The first challenge to be resolved involves the existence of efficient methods for the underlying CO problems. Due to their complexity, we developed various types of heuristic methods to be utilized in the COCP. Most of these methods are problem-dependent stochastic heuristics or metaheuristics. Their usability within COCP requires careful analysis and estimation of the time necessary to provide solutions of desired quality. We proposed to apply Machine Learning techniques in this phase and to ensure fairness in the mining process. In addition, we considered the incorporation of the existing methods into our framework with an aim to spread the applicability of the proposed COCP to various CO domains. The search for the existing algorithms should be organized within CP as a part of useful work.

The presented research results were published in 2 journal articles and 5 conference papers, and have been obtained in the collaboration with:Project members: Milan Todorović, Dragan Urošević, Tatjana Jakšić-Kruger, Luka Matijević, Đorđe Jovanović (MISANU) Foreign researchers: Dušan Ramljak, Abhay Haridas, Barat Sharma (PSU) Students: Uroš Maleš (ETF), Dragutin Ostojić (PMF KG), Ognjen Nešković, Pavle Sekešan (MF).
 
Napomena: Predavanja se mogu pratiti na daljinu preko stranice:
https://miteam.mi.sanu.ac.rs/asset/tkKTsEvjqDmEEDx9a

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Seminar za teoriju relativnosti i kosmološke modele, 12. jun 2024.

Naredni sastanak Seminara biće održan u sredu, 12. juna 2024, u sali 301f Matematičkog instituta SANU sa početkom u 12 časova.

Predavač: Ilijaš Farah, Research Chair in Foundations of Operator Algebras York University in Toronto, MI SANU

Naslov predavanja: U KOJOJ MERI JE EFIKASNOST MATEMATIKE U PRIRODNIM NAUKAMA NERAZUMNA?

Apstrakt: Matematičke teoreme dokazane iz definicija i aksioma (koje su rutinski izabrane po svojim estetskim kvalitetima, a ne po nekom "objektivnijem" kriterijumu) se već vekovima pokazuju "nerazumno efikasnim" u prirodnim naukama. (Prethodna rečenica je parafraza E. Wignera.) Sa druge strane, fizički eksperimenti često (empirijski) "potvrđuju" matematičke zakone. Konačno, opšteprihvaćene matematičke aksiome ne daju kompletan opis matematičke istine (Gedelova teorema, kao i brojni primeri nezavisnih "matematičkih" tvrđenja). Ovo predavanje je posvećeno spekulaciji koja proističe iz prethodnih rečenica i biće ilustrovano rezultatima I. Pitowskog kao i zajedničkim radom autora i M. Magidora.

Napomena: Seminar je moguće pratiti na daljinu putem linka:
https://matf.webex.com/wbxmjs/joinservice/sites/matf/meeting/download/8b9fe8cfab6a4f83b1b25b586fa0f592 protocolUID=2e5b93e777ae31de47717c284395f414#noRefresh

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