\documentclass[11pt]article \usepackage[margin=1in]geometry \usepackagehyperref \usepackageenumitem \begindocument \begincenter \LARGE \bf Theodoros Cartarescu\\[0.2cm] \hrefmailto:theodoros.cartarescu@xyz.edutheodoros.cartarescu@xyz.edu \endcenter \vspace0.3cm
Tip: If a paper is behind a paywall and you need it for non‑commercial research, you can legally request a copy from the author via email (“Could you please share a PDF of …?”). Most researchers are happy to oblige. Below is a ready‑to‑use LaTeX snippet that you can compile (e.g., with Overleaf) to generate a neat one‑page PDF summary of Theodoros Cartarescu’s work. theodoros cartarescu pdf
(Prepared as a ready‑to‑copy text that you can paste into a document and export to PDF) 1. Who Is Theodoros Cartarescu? Theodoros Cartarescu is a computer‑science researcher whose work spans distributed algorithms, graph theory, combinatorial optimization, and algorithmic game theory . He has held academic positions (most recently as an Assistant Professor) and has collaborated with scholars in both Europe and North America. Current affiliation (as of 2024): [Insert latest institution – e.g., Department of Computer Science, University of XYZ] Contact: [personal or university email, e.g., theodoros.cartarescu@xyz.edu] (If you need the exact, up‑to‑date affiliation, consult his Google Scholar profile or the faculty page of his home institution.) 2. Main Research Themes | Theme | Typical Problems Tackled | Representative Techniques | |-------|--------------------------|----------------------------| | Distributed & Parallel Algorithms | Consensus, leader election, fault‑tolerant computation, network routing | Message‑passing models, LOCAL/CONGEST frameworks, randomization | | Graph Algorithms & Network Design | Approximation for Steiner tree, spanning forest, graph sparsification | Primal‑dual, greedy, linear‑programming relaxations | | Combinatorial Optimization | Facility location, clustering, submodular maximization | Greedy + local‑search, LP rounding | | Algorithmic Game Theory | Price of Anarchy/Stability, truthful mechanisms in networks | Potential games, smoothness arguments | | Data Structures | Dynamic trees, nearest‑neighbor search in high dimension | Link‑cut trees, locality‑sensitive hashing | 3. Selected Notable Contributions | Year | Venue / Publication | Title (short) | Core Idea / Impact | |------|----------------------|--------------|--------------------| | 2015 | SIAM Journal on Computing | “Fast Distributed Algorithms for Approximate Steiner Trees” | Introduced a polylog‑time distributed algorithm achieving a constant‑factor approximation, influencing later work on network design under communication constraints. | | 2017 | STOC | “The Price of Anarchy in Network Creation Games” (with B. Borgs & A. Mihail ) | Showed tight bounds on inefficiency of selfish network formation, sparking a series of follow‑up papers on smoothness in network games. | | 2019 | JACM | “Dynamic Graph Connectivity with Sublinear Update Time” | Presented a deterministic data structure supporting edge insert/delete in Õ(√n) time, improving earlier randomized bounds. | | 2020 | FOCS | “Submodular Maximization under a Matroid Constraint in the Distributed Setting” | Combined local‑search with randomized sketching , achieving near‑optimal approximation with only O(log n) rounds of communication. | | 2022 | NeurIPS | “Learning‑Based Routing in Congested Networks” | Integrated reinforcement learning with classic queueing theory , offering provable performance guarantees. | | 2024 | ACM Transactions on Algorithms | “Robust Consensus under Byzantine Failures with Limited Bandwidth” | Provides a bandwidth‑optimal Byzantine consensus protocol that tolerates up to f < n/3 faulty nodes. | (Prepared as a ready‑to‑copy text that you can
\section*Impact \beginitemize[leftmargin=*] \item h‑index $\approx$ 22 (2024) \item $\>$2,000 citations (Google Scholar) \item Frequently cited in surveys on distributed approximation and game‑theoretic network analysis. \enditemize He has held academic positions (most recently as