Students
Current Students
- Ahmed Dajani, Ph.D. student
- Sameer Bhat, Ph.D. student
- Juno Robertson, M.S. student
- Yashas Suresh, M.S. student
- Chandrakala Jadaldinni, M.S. student
Previous Students
- Joshua Bertram, Ph.D. 2022, Applying FastMDP to Complex Aerospace-Related Problems
- Clinton Young, Ph.D. 2020, Techniques for Utilizing Classification Towards Securing Automotive Controller Area Network and Machine Learning Towards the Reverse Engineering of CAN Messages
- Mihir Awatramani, Ph.D. 2017 (with D. Rover), Workload-aware Scheduling Techniques for General Purpose Applications on Graphics Processing Units
- Xinying Wang, Ph.D. 2016, Using Reconfigurable Computing Technology to Accelerate Matrix Decomposition and its Applications
- Jeremy Bennett, Ph.D. 2016 (with J. Oliver), Massive Model Visualization: A Practical Solution
- Dossay Oryspayev, Ph.D. 2016 (with P. Maris), Performance Analysis and Acceleration of Nuclear Physics Application on High-Performance Computing Platforms using GPGPUs and Topology-Aware Mapping Techniques
- Aaron Mills, Ph.D. 2016, Design and Implementation of an FPGA-based Piecewise Affine Kalman Filter for Cyber-Physical Systems
- Kevin Townsend, Ph.D. 2016, Sparse Matrix Vector Multiplication on FPGA-based Platforms
- Sudhanshu Vyas, Ph.D. 2015 (with. P. Jones), Design Exploration of Hardware Accelerators for Mitigating the Effects of Computational Delay on Digital Control Loops
- Michael Steffen, Ph.D. 2012, A Hardware-Software Integrated Solution for Improved Single-Instruction Multi-Thread Processor Efficiency
- Song Sun, Ph.D. 2011, Analysis and Acceleration of Data Mining Algorithms on High Performance Reconfigurable Computing Platforms
- Amit Pande, Ph.D. 2010, Algorithms and Architectures for Secure Embedded Multimedia Systems
- James Bonner, M.S. 2024, Cognitive Radio Network Startup Transient Sensing
- Bryce Snell, M.S. 2024, Implementing a big.LITTLE Architecture with Architecturally Diverse Cores
- Abir Mojumder, M.S. 2023, ROP Gadget Generation on the Xtensa LX7
- Daeyoo Kim, M.S. 2023, 5G Throughput Prediction Using Machine Learning
- Cheyenne Smith, M.S. 2023, An Analysis of the Arduino Software Supply Chain
- Pawan Namagiri, M.S. 2023, Peer-to-Peer Hybrid File Sharing Application
- Rajesh Karampudi, M.S. 2023, Loop Categorization Analysis for Memory Leak Detection in the Linux Kernel
- Veronica Torres, M.S. 2023, A Survey on Non-Player Character Believability
- Matt Dwyer, M.S. 2022, GeMM Enabled Batch Ray-Triangle Intersections
- Benjamin Welte, M.S. 2022, An FPGA implementation of SipHash
- Cristian George, M.S. 2022, Towards the Reverse Engineering of DNN Structures on Heterogeneous Shared Cache Systems
- Justin Merkel, M.S. 2022, Quantized Recurrent Neural Networks on FPGA
- Yueyi Jiao, M.S. 2021 (with H. Ceylan), Inertial-Based Pavement Surface Smoothness Measurement Smart Box
- Arnoldo Montoya, M.S 2020, Benchmarking Kotlin and Java in Android Runtime Environment
- Chenhang Xu, M.S. 2020, Human Activity Recognition Using Smartphones
- Shelby Pickering, M.S. 2020, Developing a Distribution-Level Microgrid with Limited Data
- Wei Xu, M.S. 2020, Analyzing Social Media Data and Performance Comparison with Traditional Database, Data Warehouse, and MapReduce Approaches
- Nischay Venkatram, M.S. 2020, Benchmarking AssemblyScript for Faster Web Applications
- Joshua Bertram, M.S. 2019 (with P. Wei), A New Solution for Solving Markov Decision Processes and its Applications to Aerospace Problems
- Saunak Saha, M.S. 2019 (with H. Duwe), Towards Energy-Efficient Hardware Acceleration of Memory-intensive Event-driven Kernels on a Synchronous Neuromorphic Substrate
- Robert Wernsman, M.S. 2019, Analyzing Energy Savings in an FPGA Video Processing System using Dynamic Partial Reconfiguration
- Han Liao, M.S. 2019, New Heuristic Algorithm to improve the Minimax for Gomoku Artificial Intelligence
- Chengrui Yang, M.S. 2019 (with N. Neihart), Evaluation of Antenna Design and Energy Harvesting System of Passive Tags in UHF RFID Applications
- Resy Verma, M.S. 2019, Assessing Coexistence of IEEE 802.15.4 Networks and IEEE 802.11b/g/n Networks - A Study of Interference Effects
- Shangxuan Han, M.S. 2019, Stock Prediction with Random Forests and Long Short-term Memory
- Yifu Zhou, M.S. 2019, Self-configured Elastic Database with Deep Q-Learning Approach
- Yue Zhang, M.S. 2019, Evaluation of CNN Models with Fashion MNIST Data
- Mengying Shu, M.S. 2019, Deep Learning for Image Classification on Very Small Datasets Using Transfer Learning
- Nathan Gilbert, M.S. 2019, Using Reinforcement Learning to Tackle the Autonomous Recharging Problem
- Garrett Lies, M.S. 2019, A Configurable General Purpose Graphics Processing Unit for Power, Performance, and Area Analysis
- Quinn Murphy, M.S. 2018, Accelerating Structured Light Surface Reconstruction with Motion Analysis
- Joseph Avey, M.S. 2018, An FPGA-based Hardware Accelerator for Iris Segmentation
- Ben Williams, M.S. 2017, Evaluation of a SoC for Real-time 3D SLAM
- Daniel Roggow, M.S. 2017, Real-time Ellipse Detection on an Embedded Reconfigurable SoC
- Alex Grieve, M.S. 2016, A Recompilation and Instrumentation-Free Monitoring Architecture for Detecting Heap Memory Errors and Exploits
- Piriya Hall, M.S. 2016, Adaptation of a GPU Simulator for Modern Architectures
- Matt Hinrichsen, M.S. 2014, Reliable Authentication Using the Anderson PUF
- Blake Vermeer, M.S. 2014 (with D. Jacobson), Creating a Releasable Version of ISERink
- Amar Krishna, M.S. 2014 (with L. Miller), Polarity Trend Analysis of Public Sentiment on YouTube
- Tyler Johnson, M.S. 2014, An FPGA Architecture for the Recovery of WPA/WPA2 Keys
- Zhong Hu, M.S. 2013 (with T. Bigelow), Comparison of Gilmore-Akulichev Equation and Rayleigh-Plesset Equation on Therapeutic Ultrasound Bubble Cavitation
- Laskhmi Kiran Tondehal, M.S. 2013, Optimization of Sparse-Matrix Vector Multiplication on Convey HC-1
- Michael Patterson, M.S. 2013, Vulnerability Analysis of GPU Computing
- Aaron Mills, M.S. 2012, Design and Evaluation of a Delay-Based FPGA Physically Unclonable Function
- Chad Nelson, M.S. 2012, RAMPS: Reconfigurable Architecture for Minimal Perfect Sequencing using the Convey Hybrid Core Computer
- Justin Rilling, M.S. 2011, Persistent Monitoring of Digital ICs to Verify Hardware Trust
- Madhu Monga, M.S. 2010, Real-Time Simulation of Dynamic Vehicle Models using High Performance Reconfigurable Computing Platforms
- Joel Millage, M.S. 2010, GPU Integration into a Software Defined Radio Framework
- Dustin Counsell, M.S. 2010, Evaluation of High-Level Hardware/Software Embedded System Design Flows
- Jacob Braegelmann, M.S. 2009, An Independent Analysis of High-Level System Modeling and Design Languages
- Alex Baumgarten, M.S. 2009, Preventing Integrated Circuit Piracy using Reconfigurable Logic Barriers
- Jesse Sathre, M.S. 2008, Architectural Support for Secure and Survivable Software
Visiting Scholars
- Marina Yushkova, visiting Ph.D. student from Universidad Autónoma de Madrid, 2023.