Ermis Soumalias

Since September 2020, Ermis is a Ph.D. student advised by Prof. Sven Seuken in the Computation and Economics Research Group at the Department of Informatics of the University of Zurich. He is also an affiliated Ph.D. student at the ETH AI Center. Ermis holds an Electrical and Computer Engineering Diploma from the National Technical University of Athens, Greece. In his diploma thesis, which was advised by Professor Dimitris Fotakis, he studied the sample complexity of profit maximization in deferred-acceptance auctions. He spent the summer of 2022 working as a research scientist intern at Meta under the supervision of  Riccardo Colini Baldeschi.

Mechanism Design, Market Design, Learning Theory, Machine Learning.

• The Pseudo-Dimension of Contracts
  Paul Duetting, Michel Feldman, Tomasz Ponitka and Ermis Soumalias.
  Authors in alphabetical order. Submitted toSODA25. Available upon request. 
• Truthful Aggregation of LLMs with an Application to Online Advertising 
  Ermis Soumalias, Michael Curry and Sven Seuken.
  Working paper. Full paper version including appendix: ArXiv Preprint 
• Machine Learning-powered Course Allocation.
  Ermis Soumalias, Behnoosh Zamanlooy, Jakob Weissteiner and Sven Seuken.
  Abstract published in the Proceedings of the 25th ACM Conference on Economics and Computation (EC'24), New Haven, CT, July 2024.
  Full paper version including appendix: [pdf] [code]
• Machine Learning-powered Combinatorial Clock Auction.
  Ermis Soumalias*, Jakob Weissteiner*, Jakob Heiss and Sven Seuken.
  In Proceedings of the Thirty-eight AAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada, February 2024.
  Full paper version including appendix: [pdf][code]
• Revenue Maximization in Deferred-Acceptance Auctions
  Ermis Soumalias, Dimitris Fotakis and Panagiotis Patsilinakos.
  Working Paper. pdf (PDF, 310 KB)

• Teaching Assistant for Lecture Economics and Computation (Fall 2020)
• Teaching Assistant for Lecture Algorithmic Game Theory and Mechanism Design (Fall 2021)
• Head Teaching Assistant for Lecture Algorithmic Game Theory and Mechanism Design (Fall 2023)
• Colecturer for Lecture Introduction to Artificial Intelligence (Spring 2024)