Torsten Suel

Torsten Suel is a Professor and Director of the Computer Science Ph.D. Program at NYU Tandon School of Engineering. He holds a Diplom from Technical University of Braunschweig and Ph.D. from University of Texas at Austin, with postdoctoral experience at NEC Research Institute, UC Berkeley, and Bell Labs.

His research focuses on scalable information retrieval, web search engine architectures, distributed algorithms, and data compression. Key areas include efficient top-k query processing, learned indexing structures, and high-dimensional nearest neighbor search.

Recent publications demonstrate advances in graph-based search algorithms, sparse index optimization, and distributed query processing for web-scale datasets. Work integrates machine learning with traditional indexing techniques.

No scientific awards are explicitly listed.

He leads the search engine research group and advises graduate students in distributed systems and information retrieval.