Event date:
Nov 11 2022 4:00 pm

Bloom Filter

Dr. Maryam Abdul Ghafoor
CS Smart Lab – SBASSE (Ground Floor)
In the current era, with the advent of the information age, the need for obtaining large amounts of data quickly and efficiently is ever-increasing. One of the possible solutions to this problem is an improved data structure, Bloom Filter. A Bloom filter is a space-efficient probabilistic data structure that is used to test whether an element is a member of a set or not. It is based on hashing and is typically used to add and look up elements in a set. Bloom filters are useful when the data is large, and memory is limited. There are many applications of bloom filters, such as searching items, recommendations, weak password detection, and safe browsing. In this talk, we will explore the Bloom filter and its applications.

Dr. Maryam Abdul Ghafoor is an Assistant Professor at the National University of Computer and Emerging Sciences (FAST-NUCES). She completed her Ph.D. in Computer Sciences under the supervision of Dr. Junaid Haroon Siddique at the Lahore University of Management Sciences in the year 2020. She has previously taught at the Capital University of Science and Technology, IIMS, and the University of Punjab. Her research interests include program analysis, machine learning techniques, and digital health. She has published papers in ASE, ICST, FIT, CHI, and SQJ.