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Ioana-Oriana Bercea is an Assistant Professor at KTH Royal Institute of Technology, specializing in Theoretical Computer Science. Her research focuses on Data Structures, particularly dictionaries and Bloom filters, as well as Randomized Approximation Algorithms, including hashing and clustering. Additionally, she explores Computational Geometry, with a keen interest in problems such as the Traveling Salesman Problem. Bercea has previously worked as a Postdoctoral researcher at Basic Algorithms Research Copenhagen (BARC) at the University of Copenhagen and has also held a Postdoc position at Tel Aviv University. She earned her PhD in Computer Science from the University of Maryland, where she was advised by Professor Samir Khuller. Her academic journey includes a Master's degree from UMD, under the supervision of Professor Aravind Srinivasan, and a Bachelor of Science in Mathematics (Honors) and Computer Science from the University of Chicago. Bercea's recent accomplishments include receiving prestigious awards for her publications, and she has joined KTH as a faculty member, contributing to the department by teaching Advanced Algorithms.
KTH Royal Institute of Technology • Stockholm, Sweden
As an Assistant Professor, she is involved in research and teaching in the field of theoretical computer science.
Basic Algorithms Research Copenhagen (BARC) • Copenhagen, Denmark
Conducted research in theoretical computer science.
Tel Aviv University • Tel Aviv, Israel
Held a postdoctoral research position.
Master's programs are organized under Schools; departments listed are units within these schools (e.g., EECS, ABE, CBH, ITM, SCI).