artemtsikiridis.com

What It Is

Artem Tsikiridis’s personal academic homepage is not a commercial online course platform in the conventional sense, but rather a personal portal showcasing his research and teaching activities. Artem is currently a postdoctoral researcher in the Department of Computer Science at the Technical University of Munich (TUM), working with Martin Bichler. The site mainly documents his research output and academic updates in interdisciplinary areas spanning computer science and economics, such as algorithmic mechanism design, auction theory, and online algorithms.

Core Dimensions

• Subject Areas: Focuses on algorithmic game theory, mechanism design, auction theory, and online algorithms—highly specialized, frontier academic fields.
• Teaching Format: The website itself does not offer structured video courses. Its “teaching” component is mainly reflected in the organization of academic seminars, such as the “Learning in Games” seminar co-hosted with Martin Bichler in the 2026 summer semester, as well as the implicit knowledge transfer provided through academic papers. The site includes numerous arXiv links and records of talks.
• Instructor / Institutional Background: Extremely strong academic credentials. The author holds a PhD from the Athens University of Economics and Business, previously worked at the CWI research institute in the Netherlands, and is now conducting postdoctoral research at TUM, one of Germany’s top universities. He has also long served as a program committee member for leading conferences such as AAAI, EC, and WINE, as well as a reviewer for top journals.
• Certification / Certificates and Pricing: As a purely academic resource hub, the site is completely free to access and does not provide any commercial certification or completion certificates.

Pros and Cons

• Pros: 1. Highly cutting-edge: The research closely follows the academic frontier, with multiple papers accepted by top conferences such as AAAI 2026 and SODA 2026; 2. Open resources: Provides extensive arXiv preprint links, making it easier for peers to access the latest research; 3. Strong academic reputation: The author is an active and influential researcher in algorithmic mechanism design, with a solid record of rigorous peer-review involvement.
• Cons: 1. Very high barrier to entry: The content is highly theoretical and lacks beginner-friendly guidance, making it unsuitable for newcomers; 2. Not a structured course: There is no organized learning path, video instruction, or exercises; 3. Limited interactivity: Only email contact is provided, with no learning community or Q&A mechanism.

Who It’s For

This site is strictly suited to PhD students, postdocs, and early-career scholars in computer science, economics, and especially algorithmic game theory. It is highly valuable for researchers looking for research topics, tracking the latest developments at top conferences, or seeking references in mechanism design. General learners are unlikely to benefit from it directly.

Access from China

As an academic homepage hosted on a personal domain, it is generally accessible directly from mainland China. However, some external paper platforms it references, such as arXiv, may be unstable or require a proxy to access from within China.