Skip to Content

TU Wien Fakultät für Informatik DBAI Database and Artificial Intelligence Group
Top-level Navigation: Current-level Navigation:

Path: DBAI > staff > Jan Maly

Tools: Drucken



Jan Maly

portrait

Address Jan Maly
Institute of Information Systems
Database and Artificial Intelligence Group
Vienna University of Technology
Favoritenstraße 9-11
1040 Wien
Austria
Mail
Phone +43/1/58801/18408
Fax +43/1/58801/18493
Room HE 03 20

You can find me also in the TISS Adress Book

About me

I am a postdoctoral researcher and project staff in the research project "Algorithms for Sustainable Group Decision Making". I work mainly in the fields of Computational Social Choice, Logic and Knowledge Representation. In general, I am interested in studying and developing tools that help people make better decision, individually or as a group. In particular, I currently work on the representation of preferences, on non-standard voting frameworks and on computational complexity questions that arise in COMSOC and logic.

From September 2016 till the 24th of September 2020, I was a Ph.D student under the supervision of Stefan Woltran and Martin Lackner and a University Assistant at the Database and Artificial Intelligence Group. In this period, I was heavily involved in teaching, mostly as a part of the great team running the Algorithmen und Datenstrukturen lecture. More details can be found in my CV.

Papers

[12] Fairness in Long-Term Participatory Budgeting
Martin Lackner, Jan Maly, Simon Rey
AAMAS 2021: 1566-1568, Extended Abstract (Download)
[11] Approval-Based Shortlisting
Martin Lackner, Jan Maly
AAMAS 2021: 737-745 (Download,ArXiv preprint)
[10] Ranking Sets of Defeasible Elements in Preferential Approaches to Structured Argumentation: Postulates, Relations, and Characterizations
Jan Maly, Johannes P. Wallner
AAAI 2021, to appear
[9] Encoding Choice Logics in ASP
Michael Bernreiter, Jan Maly, Stefan Woltran
ASPOCP 2020 (Download)
[8] Lifting Preferences over Alternatives to Preferences over Sets of Alternatives: The Complexity of Recognizing Desirable Families of Sets
Jan Maly
AAAI 2020: 2152-2159 (Download, Long version with full proofs on ArXiv)
[7] Preference Orders on Families of Sets - When Can Impossibility Results Be Avoided?
Jan Maly, Miroslaw Truszczynski, Stefan Woltran
Journal of Artificial Intelligence Research (JAIR), 66: 1147-1197 (2019) (Download)
[6] Aggregating Expert Opinions in Support of Medical Diagnostic Decision-Making
Clemens Gangl, Martin Lackner, Jan Maly and Stefan Woltran
Knowledge Representation for Health Care/ProHealth, KR4HC 2019, Poznan, Poland June 26, 2019, pages 56-62, 2019 (Download)
[5] Preference Orders on Families of Sets - When Can Impossibility Results Be Avoided?
Jan Maly, Miroslaw Truszczynski, Stefan Woltran
IJCAI 2018: 433-439 (Download)
[4] A New Logic for Jointly Representing Hard and Soft Constraints
Jan Maly, Stefan Woltran
PRUV@IJCAR 2018 (Download)
[3] Ranking Specific Sets of Object
Jan Maly, Stefan Woltran
Datenbank-Spektrum 17(3): 255-265 (2017) (Download)
[2] Ranking Specific Sets of Object
Jan Maly, Stefan Woltran
BTW 2017 - Workshopband: 193-201 (Download)
[1] Pseudo proof systems and hard instances of SAT
Jan Maly, Moritz Müller
Math. Log. Q. 64(6): 418-428 (2018) (Download)

Theses

[1] Ranking Sets of Objects: How to Deal with Impossibility Results
Jan Maly
PhD Thesis, Technische Universität Wien, 2020
Supervisors: Stefan Woltran and Martin Lackner
(Download)
[2] Jan Krajicek's Forcing Construction and Pseudo Proof Systems
Jan Maly
Master's Thesis, Universität Wien, 2016
Advisor: Moritz Müller
(Download)

Home / Kontakt / Webmaster / Offenlegung gemäß § 25 Mediengesetz: Inhaber der Website ist das Institut für Informationssysteme an der Technischen Universität Wien, 1040 Wien. Die TU Wien distanziert sich von den Inhalten aller extern gelinkten Seiten und übernimmt diesbezüglich keine Haftung. / Disclaimer.


Home / Kontakt / Webmaster / Offenlegung gemäß § 25 Mediengesetz: Inhaber der Website ist das Institut für Logic and Computation an der Technischen Universität Wien, 1040 Wien. Die TU Wien distanziert sich von den Inhalten aller extern gelinkten Seiten und übernimmt diesbezüglich keine Haftung. Disclaimer / Datenschutzerklärung