Improving the effectiveness of test suite through mining historical data. - Jeff Anderson; Saeed Salem; Hyunsook Do (MSR, 2014)

Striving for Failure: An Industrial Case Study about Test Failure Prediction. - Jeff Anderson; Saeed Salem; Hyunsook Do (ICSE (2), 2015)

Experience report: Mining test results for reasons other than functional correctness. - Jeff Anderson; Hyunsook Do; Saeed Salem (ISSRE, 2015)

Customized Regression Testing Using Telemetry Usage Patterns. - Jeff Anderson; Hyunsook Do; Saeed Salem (ICSME, 2016)

Hardware Support for Secure Stream Processing in Cloud Environments. - Jeff Anderson; Tarek A. El-Ghazawi (Conf. Computing Frontiers, 2017)

D3NoC: a dynamic data-driven hybrid photonic plasmonic NoC. - Armin Mehrabian; Shuai Sun; Vikram K. Narayana; Jeff Anderson; Jiaxin Peng; Volker J. Sorger; Tarek A. El-Ghazawi (CF, 2018)

Extreme Heterogeneity in Deep Learning Architectures. - Jeff Anderson; Armin Mehrabian; Jiaxin Peng; Tarek A. El-Ghazawi (Smart Data, 2019)

Photonic Processor for Fully Discretized Neural Networks. - Jeff Anderson; Shuai Sun; Yousra Al-Kabani; Volker J. Sorger; Tarek A. El-Ghazawi (ASAP, 2019)

On the use of usage patterns from telemetry data for test case prioritization. - Jeff Anderson; Maral Azizi; Saeed Salem; Hyunsook Do (Inf. Softw. Technol., 2019)

Software stack for an analog mesh computer: the case of a nanophotonic PDE accelerator. - Engin Kayraklioglu; Jeff Anderson; Hamid Reza Imani; Volker J. Sorger; Tarek A. El-Ghazawi (CF, 2020)

Virtualizing Analog Mesh Computers: The Case of a Photonic PDE Solving Accelerator. - Jeff Anderson; Engin Kayraklioglu; Hamid Reza Imani; Mario Miscuglio; Volker J. Sorger; Tarek A. El-Ghazawi (ICRC, 2020)

ROC: A Reconfigurable Optical Computer for Simulating Physical Processes. - Jeff Anderson; Engin Kayraklioglu; Shuai Sun; Joseph Crandall; Yousra Al-Kabani; Vikram K. Narayana; Volker J. Sorger; Tarek A. El-Ghazawi (ACM Trans. Parallel Comput., 2020)

ReCPE: A PE for Reconfigurable Lightweight Cryptography. - Jeff Anderson; Yousra Alkabani; Tarek A. El-Ghazawi (SoCC, 2021)

Toward Energy-Quality Scaling in Deep Neural Networks. - Jeff Anderson; Yousra Alkabani; Tarek A. El-Ghazawi (IEEE Des. Test, 2021)

iSample: Intelligent Client Sampling in Federated Learning. - Hamid Reza Imani; Jeff Anderson; Tarek A. El-Ghazawi (ICFEC, 2022)

Virtualizing a Post-Moore's Law Analog Mesh Processor: The Case of a Photonic PDE Accelerator. - Jeff Anderson; Engin Kayraklioglu; Hamid Reza Imani; Chen Shen 005; Mario Miscuglio; Volker J. Sorger; Tarek A. El-Ghazawi (ACM Trans. Embed. Comput. Syst., 2023)

Accelerating PDEs with Chiplet-Based Processing Chains. - Jeff Anderson; Tarek A. El-Ghazawi (ICRC, 2024)

RLFL: A Reinforcement Learning Aggregation Approach for Hybrid Federated Learning Systems Using Full and Ternary Precision. - Hamid Reza Imani; Jeff Anderson; Samuel Farid; Abdolah Amirany; Tarek A. El-Ghazawi (IEEE J. Emerg. Sel. Topics Circuits Syst., 2024)