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SINDHUJA MADABUSHI 
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I am a PhD student in the Computer Science department at Virginia Tech advised by Jin-Hee Cho. My research focuses on privacy, security, fairness, and incentives in federated learning to enable collaborative machine learning while safeguarding individuals' data.
Previously, I conducted research at University of Wisconsin-Madison where I worked with Parmeswaran Ramanathan to design privacy-preserving algorithms for human genome read alignment. I received my Master's degree in Data and Knowledge Engineering from Otto-von-Guericke Universität Magdeburg, and my Bachelor's degree in Computer Science from GITAM University.
My research interests encompass privacy and robustness in federated learning, design of privacy-preserving algorithms and incentive mechanisms, explainable AI, and applied cryptography. Through my work on federated learning and the design of incentive mechanisms, I aim to address critical challenges, ensuring that these systems are not only effective and efficient but also equitable and trustworthy.
Feel free to email me at msindhuja@vt.edu to discuss potential collaborations!
PAPERS
Two-Cloud Private Read Alignment to a Public Reference Genome
, Parameswaran Ramanathan
Proceedings on Privacy Enhancing Technologies Symposium 2023
PDF
CODE
TALK
M.Sc Thesis: Graph Sketches and Embeddings: A Study of their Applications in Graph Databases
Otto-von-Guericke-University Magdeburg
PDF
Bachelor's Thesis: Novel Network System with Miscellaneous Features
GITAM University
TALKS
Privacy Preserving and Feature Importance Based Incentive Mechanism in Vertical Federated Learning
ACM The Capital Region Celebration of Women in Computing Conference (CAPWIC) 2024
CONFERENCE
SLIDES
Exploring NoSQL Databases: Challenges and Opportunities
Guest Lecture for CS5614: Database Management Systems, Spring'24, Virginia Tech
Guest Lecture for CS4604: Introduction to Database Management Systems, Fall'23, Virginia Tech
SLIDES
AWARDS
Travel Award: ACM The Capital Region Celebration of Women in Computing Conference (CAPWIC) 2024
Travel Award: Annual Computer Security Applications Conference (ACSAC) 2023