Dr. Lazar Milenković

Postdoctoral researcher

About me

I am a postdoctoral researcher at INSAIT, hosted by Bernhard Haeupler. Previously, I earned my PhD in Computer Science at Tel Aviv University, where I was fortunate to be advised by Shay Solomon. Before that, I received my MSc in Computer Science from EPFL.

My research interests broadly lie in the design and analysis of graph algorithms.

Awards

The Feder Family Award for Best Student Work in Communications, 3rd place 2026

Publications

Tree-Like Shortcuttings of Trees

SoCG’26, arXiv

Hung Le, Lazar Milenković, Shay Solomon, Cuong Than

Euclidean Noncrossing Steiner Spanners of Nearly Optimal Sparsity

SoCG’26, arXiv

Covering the Euclidean Plane by a Pair of Trees

Hung Le, Lazar Milenković, Shay Solomon, Tianyi Zhang

Light Spanners with Small Hop-Diameter

Sujoy Bhore, Lazar Milenković

Optimal Euclidean Tree Covers

Shortcut Partitions in Minor-Free Graphs: Steiner Point Removal, Distance Oracles, Tree Covers, and More

Covering Planar Metrics (and Beyond): O(1) Trees Suffice

Sparse Euclidean Spanners with Optimal Diameter: A General and Robust Lower Bound via a Concave Inverse-Ackermann Function

Hung Le, Lazar Milenković, Shay Solomon

Can’t See The Forest for the Trees: Navigating Metric Spaces by Bounded Hop-Diameter Spanners

Omri Kahalon, Hung Le, Lazar Milenković, Shay Solomon

Sparse Euclidean Spanners with Tiny Diameter: A Tight Lower Bound

Hung Le, Lazar Milenković, Shay Solomon

Dynamic Matching Algorithms Under Vertex Updates

A Unified Sparsification Approach for Matching Problems in Graphs of Bounded Neighborhood Independence

Lazar Milenković, Shay Solomon

2026

Sujoy Bhore, Sandor Kisfaludi-Bak, Lazar Milenkovic, Csaba D. Toth, Karol Wegrzycki, Sampson Wong
Euclidean Noncrossing Steiner Spanners of Nearly Optimal Sparsity
In: 42nd International Symposium on Computational Geometry (SoCG 2026)

Hung Le, Lazar Milenkovic, Shay Solomon, Cuong Than
Tree-Like Shortcuttings of Trees
In: 42nd International Symposium on Computational Geometry (SoCG 2026)