Lab Alumni
Rushabh Shah
Degree Type: Master of Science, Plan B project option
Project Title: Integrated Training Data Generation using Image Augmentation
Date completed: May 2023
Laksheen Mendis
Degree Type: Master of Science
Thesis Title: Embedding based Clustering of Time Series Data Using Dynamic Time Warping
Date Completed: December 2021 (Graduated in Spring 2022)
Currently: IBM
Poornima Gunhalkar
Degree Type: Master of Science, Project option
Project Title: Benchmarking Distributed Stream Processing Frameworks For Real-Time Image Classification
Date Completed: October 2021
Daniel Rammer [Co-advised with Shrideep Pallickara]
Degree Type: Doctor of Philosophy
Dissertation Title: Harnessing Spatiotemporal Data Characteristics to Facilitate Large-Scale Analytics Over Voluminous, High-Dimensional, Observational Datasets
Date Completed: August 2021
Currently: Union.AI
Budgaga Walid [Co-advised with Shrideep Pallickara]
Degree Type: Doctor of Philosophy
Dissertation Title: Leveraging Ensembles: Balancing Timeliness and Accuracy for Models Training over Voluminous Datasets
Date Completed: May 2020
Matthew Malensek [Co-advised with Shrideep Pallickara]
Degree Type: Doctor of Philosophy
Dissertation Title: Low-latency, Query-Driven Analytics over Voluminous Multidimensional, Spatiotemporal Datasets
Date Completed: August 2017
Currently: Assistant Professor, Computer Science – University of San Francisco
Sanket Mehrotra
Degree Type: Master of Science, Project option
Project Title: Runtime Speculation-based Model for Data Retrieval Guidelines for interactive Analytics
Date Completed: Degree requirements completed, to graduate in August 2021
Ryan Becwar
Degree Type: Master of Science, Project option
Project Title: Accelerated Georeferencing with Apache Spark
Date Completed: May 2021
Kevin Bruhwiler [Co-advised with Shrideep Pallickara]
Degree Type: Master of Science
Thesis Title: Aperture: A System for Interactive Visualization of Voluminous Geospatial Data
Date Completed: December 2020
Currently: Ph.D. Student, University of Southern California
Kartik Khurana
Degree Type: Master of Science
Thesis Title: Enabling Autoscaling for In-Memory Storage In Cluster Computing Framework
Date Completed: May 2020
Currently: Oracle
Aaron Pereira
Degree Type: Master of Science
Thesis Title: Towards Federated Learning over Large-scale Streaming Data
Date Completed: May 2020
Currently: Azure, Microsoft
Bibek Raj Shrestha
Degree Type: Master of Science
Thesis Title: Enabling Autoscaling for In-Memory Storage In Cluster Computing Framework
Date Completed: May 2019
Currently: Rally Health
Maxwell Roselius
Degree Type: Master of Science
Thesis Title: Toward effective high-throughput georeferencing over voluminous observational data in the domain of precision agriculture
Date Completed: December 2018
Currently: Spectra Logic
Yu (Peter) Qui
Degree Type: Master of Science
Thesis Title: Questionnaire integration system based on question classification and short text semantic textual similarity
Date Completed: December 2018
Currently: Software Engineer, PayPal
Chuanqi Huang
Degree Type: Master of Science
Thesis Title: Leveraging Structural-Context Similarity of Wikipedia Links to Predict Twitter User Locations
Date Completed: December 2017
Naman Rajivkumar Shah
Degree Type: Master of Science
Thesis Title: Determining Disease Outbreak Influence from Voluminous Epidemiology Data on Enhanced Distributed Graph-Parallel System
Date Completed: June 2017
Currently: Illumon
Johnson Charles Kachikaran Arulswamy
Degree Type: Master of Science
Thesis Title: A Locality-Aware Scientific Workflow Engine for Fast-Evolving Spatiotemporal Sensor Data
Date Completed: March 2017
Currently: Cisco
Harshil Shah [Co-advised with Shrideep Pallickara]
Degree Type: Master of Science
Thesis Title: Identification and Characterization of Super-spreaders from Voluminous Epidemiology Data
Date Completed: Dec 2016
Currently: Conviva
Cameron Tolooee
Degree Type: Master of Science
Thesis Title: On the Use of Locality Aware Distributed Hash Tables for Homology Searches Over Voluminous Biological Sequence Data
Date Completed: Dec. 2015
Currently: Hewlett Packard
Jared Koontz
Degree Type: Master of Science
Thesis Title: GeoLens: Enabling Interactive Visual Analytics Over Large Scale, Multidimensional Data Sets
Date Completed: May 2015
Currently: Intel
Past Undergraduate Research Advisees
Jackson Holden (Jan 2023 – May 2023)
Emma Hamilton (Jan 2022 – May 2022)
Meridith McCann (Jan 2022 – May 2022)
Mandey Brown (Jan 2022 – May 2022)
Kassidy Baram (Sept 2021 – April 2022)
Thomas Lujan (Sept 2020 – May 2021)
Ellie Martinez (July 2021 – Jan 2021)
Caleb Carlson (Jan 2020 ~ Aug 2020)
Nick Czarnecki (Jan 2018 – May 2018)
Jim Xu (Jan 2018 – May 2018)
Kevin Bruhwiler (Jan 2018 – May 2018)
Maxwell Roselius (July 2016 ~ Dec 2016)
Xuehao Hu (Jan 2015 – May 2016)
Duck Keun Yang (Jan 2015 – May 2016)
Zachary Cutler (Dec. 2014)
Cameron Tolooee (Dec 2013)
Li (Mike) Yang (Dec 2013)
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