I am a Fourth year PhD. student with the Department of Computer Science at the University of Pittsburgh. Before coming to Pitt, I recieved my Bachelors of Arts from Washington & Jefferson College in Information Technology Leadership (now CIS) and Mathematics.
Refereed Conference Publications
Shoal: Query Optimization and Operator Placement forAccess Controlled Stream Processing Systems
Conference on Data and Applications Security and Privacy (DBSec) 2019
PolyStream: Cryptographically Enforced Access Controls for Outsourced Data Stream Processing
Symposium on Access Control Models and Technologies (SACMAT) 2016
Behind Enemy Lines: Exploring Trusted Data Stream Processing on Untrusted Systems
Conference on Data Security and Privacy (CODASPY), 2019
Privacy Preserving Smart Metering System Based Retail Level Electricity Market
Power & Energy Society (PES) General Meeting, 2013
Secure Multiparty Computation Based Privacy Preserving Smart Metering System
The 44th North American Power Symposium (NAPS), 2012
Confidential Elastic Processing of Data Streams
The 41st ACM Special Interest Group on the Management of Data (SIGMOD), 2015
Automated Operator Placement in Distributed Data Stream Management Systems Subject to User Constraints
9th Annual International Workshop on Self Managing Database Systems (SMDB), 2014
CIS 380: Mobile Application Design and Development
Spring 2016 - Washington & Jefferson College
Mobile Application Design and Development provides students with the opportunity to develop applications for mobile devices including cell phones and tablet computers. Specifically, students will study the interface design and programming development of mobile apps. In this course students will learn how to develop applications that will run on any mobile device, regardless of OS platform.
Fall 2015 - Washington & Jefferson College
CS 1699: Fundamentals of Data Science (Special Topics)
Spring 2015 - (TA) University of Pittsburgh
This special topics course aims to expose students to different data management, data manipulation, and data analysis techniques. The class will cover all the major data management paradigms (Relational/SQL, XML/XQuery, RDF/SPARQL) including NoSQL and Data Stream Processing approaches. Going beyond traditional data management techniques, the class will expose students to information retrieval, data mining, data warehousing, network analysis, and other data analysis topics. Time-permitting, the class will include Big Data processing techniques, such as the map/reduce framework.
CS 1655: Secure Data Management and Web Applications
Fall 2014 - (TA) University of Pittsburgh
This course is the second data management course in the CS Department. As such, it has the following main objectives. First, to study topics that go beyond the traditional relational database management system framework, such as information retrieval, data mining, and data warehousing. Second, to study security-related issues as they arise in web-database environments. Third, to expose students to advanced database applications and also to related data/information management and analysis technologies, while gaining hands-on experience.
CS 1520: Programming Languages for Web Application
Fall 2012 - (TA) University of Pittsburgh