A comprehensive semi-automated incident handling workflow. - Sayed Hadi Hashemi; Mohammad Babaeizadeh; Mohsen Nowruzi; Hossein Hadian Jazi; Mohammad Shahmoradi; Elaheh Biglar Beigi Samani (IST, 2012)

A comprehensive classification of incident handling information. - Mohsen Nowruzi; Hossein Hadian Jazi; Mojtaba Dehghan; Mohammad Shahmoradi; Sayed Hadi Hashemi; Mohammad Babaeizadeh (IST, 2012)

Toward Fabric: A Middleware Implementing High-level Description Languages on a Fabric-like Network. - Sayed Hadi Hashemi; Shadi A. Noghabi; John Bellessa; Roy H. Campbell (ANCS, 2016)

World of Empowered IoT Users. - Sayed Hadi Hashemi; Faraz Faghri; Paul Rausch; Roy H. Campbell (IoTDI, 2016)

Performance Modeling of Distributed Deep Neural Networks. - Sayed Hadi Hashemi; Shadi A. Noghabi; William Gropp; Roy H. Campbell (CoRR, 2016)

Decentralized User-Centric Access Control using PubSub over Blockchain. - Sayed Hadi Hashemi; Faraz Faghri; Roy H. Campbell (CoRR, 2017)

Toward Scalable Machine Learning and Data Mining: the Bioinformatics Case. - Faraz Faghri; Sayed Hadi Hashemi; Mohammad Babaeizadeh; Mike A. Nalls; Saurabh Sinha; Roy H. Campbell (CoRR, 2017)

Communication Scheduling as a First-Class Citizen in Distributed Machine Learning Systems. - Sayed Hadi Hashemi; Sangeetha Abdu Jyothi; Roy H. Campbell (CoRR, 2018)

TicTac: Accelerating Distributed Deep Learning with Communication Scheduling. - Sayed Hadi Hashemi; Sangeetha Abdu Jyothi; Roy H. Campbell (SysML, 2019)

tensorflow-tracing: A Performance Tuning Framework for Production. - Sayed Hadi Hashemi; Paul Rausch; Benjamin Rabe; Kuan-Yen Chou; Simeng Liu; Volodymyr V. Kindratenko; Roy H. Campbell (OpML, 2019)

Towards An Application Objective-Aware Network Interface. - Sangeetha Abdu Jyothi; Sayed Hadi Hashemi; Roy H. Campbell; Brighten Godfrey (HotCloud, 2020)

HAL: Computer System for Scalable Deep Learning. - Volodymyr V. Kindratenko; Dawei Mu; Yan Zhan; John Maloney; Sayed Hadi Hashemi; Benjamin Rabe; Ke Xu; Roy H. Campbell; Jian Peng 001; William Gropp (PEARC, 2020)

Caramel: Accelerating Decentralized Distributed Deep Learning with Computation Scheduling. - Sayed Hadi Hashemi; Sangeetha Abdu Jyothi; Brighten Godfrey; Roy H. Campbell (CoRR, 2020)

Timed execution in distributed machine learning - Sayed Hadi Hashemi (2020)

GenoML: Automated Machine Learning for Genomics. - Mary B. Makarious; Hampton L. Leonard; Dan Vitale; Hirotaka Iwaki; David Saffo; Lana Sargent; Anant Dadu; Eduardo Salmerón Castaño; John F. Carter; Melina Maleknia; Juan A. Botía; Cornelis Blauwendraat; et al. (CoRR, 2021)