News
[Oct 2024] I will be participating in a panel discussing inclusive practices in the classroom as part of the Maseeh College Inclusive Teaching & Mentoring Symposium.
[Aug 2024] I am looking forward attending VLDB 2024 in Guangzhou, China.
[July 2024] Excited to be part of CyberPDX 2024 - a Cybersecurity camp designed for Native and Indigenous highschool students - as the instructor for Privacy Thread.
[May 2024] Recieved the Faculty Development Grant from Portland State University.
[May 2024] I have been invited to attend the 2024 NSF SaTC Aspiring PI Workshop at University of Chicago.
[Apr 2024] I am restarting the Database Reading Group (DBRG) at Portland State University, with Prof. Dave Maier. Please join the mailing list for more updates.
[Mar 2024] New Demo Paper: “ACCORD: Constraint-driven Mediation of Multi-user Conflicts in Cloud Services” accepted at The Web Conference 2024.
[Feb 2024] I will be attending and presenting at Northwest Database Society (NWDS) Annual Meeting 2024.
[Feb 2024] Research Paper on “GenAIPABench: A benchmark for generative AI-based privacy assistants” accepted at Privacy Enhancing Technologies Symposium (PETS) 2024.
[Dec 2023] Journal paper on “Preventing Inferences through Data Dependencies on Sensitive Data” accepted at IEEE Transactions on Knowledge and Data Engineering (TKDE).
[Nov 2023] I will be teaching a new course called “Intro to Privacy-aware Computing” in Winter 2024.
[Sept 2023] Started as an Assistant Professor of Computer Science at Portland State University.
[July 2023] Invited to serve on Program Committee of Research Track of VLDB 2024.
[June 2023] Invited to serve on Program Committees of CIKM 2023 Demo Track, SSS 2023, and PAS Workshop at NeurIPS 2023.
[May 2023] 📝 New full research paper on Differentially Private Streaming Data Release under Temporal Correlations via Post-processing accepted at DBSec 2023.
[Jan 2023] 📝 New full research paper on User Customizable and Robust Geo-Indistinguishability for Location Privacy accepted at EDBT 2023.
[Dec 2022] 💵 Awarded a seed grant ($25,000) by the Center for Socially Responsible Artificial Intellgience (CSRAI) at Penn State.
[Dec 2022] 💻 Preventing Leakages through Data Dependencies on Access Control marked as reproducible after peer review of artifacts by pVLDB Reproducibility Committee and to be highlighted at VLDB 2023.
[Dec 2022] 📝 New Demo Paper: CORGI: An interactive framework for Customizable and Robust Location Obfuscation accepted at ICDE 2023.
[Oct 2022] I will be co-organizing Private, Secure, and Trustworthy IoT Data Management Workshop (ASTRIDE) at ICDE 2023.
[Aug 2022] I am the instructor for IST 140: Introduction to Application Programming in Fall 2022.
[Aug 2022] I will be serving on the program committees of ICDE 2023, FATEsys @ SenSys/BuildSys 2022, INTOP, IE Tracks @ ACM SAC 2023.
[Jun 2022] 💵 Awarded VLDB travel grant for travelling to Sydney and present at VLDB 2022.
[May 2022] 📝 New full research paper on Preventing Leakages through Data Dependencies on Access Control accepted at VLDB 2022.
[Mar 2022] 📰 Conversation Article on “How Internet of Things can violate your privacy.".
[Mar 2022] Invited talk in Prof. Yus’s Data Privacy class on Sieve.
[Nov 2021] 💵 Awarded a seed grant ($15,000) by the Center for Security Research and Education (CSRE) at Penn State.
[Jul 2021] Defended my Ph.D. thesis on Fine Grained Access Control Policies in Data Management Systems for Internet of Things Applications.