PhD Candidate
he/him
Karan is a Computer Science PhD candidate advised by Dr. Evimaria Terzi. He is a part of the Massive Data & Algorithms (MiDAS) research group at BU, and his research is primarily focused on data mining algorithms. His current research is on designing efficient approximation algorithms for submodular optimization problems, such as the Team Formation/Max-k Coverage problem.
Karan plays tennis and soccer, and enjoys outdoor activities such as hiking and skiing
Research Group: Massive Data & Algorithms (MiDAS)
Publications
Vombatkere, Mousavi, Zannettou, Roesner, & Gummadi. (2024). TikTok and the Art of Personalization: Investigating Exploration & Exploitation on Social Media Feeds. The Web Conference 2024.
Vombatkere, Terzi, & Gionis. (2023). Forming Coordinated Teams that Balance Task Coverage and Expert Workload. Submitted: Springer Data Mining and Knowledge Discovery.
Vombatkere, Terzi. (2023). Balancing Task Coverage and Expert Workload in Team Formation. SIAM International Conference on Data Mining 2023.
Kritharakis, Luo, Unnikrishnan, & Vombatkere. (2022). Detecting Trading Trends in Streaming
Financial Data using Apache Flink. ACM International Conference on Distributed and Event-Based Systems 2022.
Vombatkere, Lyu, & Luo. (2021). How Political is the Spread of COVID-19 in the United States? International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation 2021. Springer, Cham.
Vombatkere, Li, & Duan. (2017) Automatic Lyrics Display System for Live Music Performances. IEEE Signal Processing Magazine 2017
Website: https://cs-people.bu.edu/kvombat/