Pooyan Jamshidi

Reconciling High Accuracy, Cost-Efficiency, and Low Latency of Inference Serving Systems
Waterloo, Canada (Remote), November, 2023

Learning from Valerie Issarny: Insights Gained from Program Co-Chairing SEAMS’23
Melbourne, Australia, May, 2023
[ Video ]

Artificial Intelligence and Systems Laboratory (AISys): A Research Overview
CSE Research Symposium, April, 2023

Experiential Learning by Building Real-World AI Systems
Oktoberbest: A Symposium On Teaching, October, 2022

Understanding and Explaining the Root Causes of Performance Faults with Causal AI: A Path towards Building Dependable Computer Systems
NASA JPL, July, 2022

Causal AI for Systems
exploreCSR: Democratizing AI, January, 2022

Causal AI for Systems
IEEE International Conference on Smart Data Services, September, 2021

Causal AI for Systems
Stanford MLSys Seminars, August, 2021
[ Video ]

Machine Learning meets Software Performance
International Conference on Automated Software Engineering, Melbourne, Australia [Virtual!!], September, 2020
[ Video ]

Robust Causal Transfer Learning
AI Summit at Silicon Valley [Virtual], September, 2020
[ Video ]

Ensembles of Many Diverse Weak Defenses can be Strong
Google Headquarters [Virtual], UPenn [Virtual], CMU [Virtual], September, 2020

Ensembles of Many Diverse Weak Defenses can be Strong: Defending Deep Neural Networks Against Adversarial Attacks
Augusta University, Augusta, Georgia, Feburary, 2020
[ Video ]

Transfer Learning for Performance Analysis of Machine Learning Systems
Furman University, Greenville, South Carolina, April, 2019

Machine Learning meets DevOps: Transfer Learning for Performance Optimization
Machine Learning for DevOps Summit, Houston, Texas, November, 2018

Architectural Tradeoffs in Learning-Based Software
SATURN, Plano, Texas, May, 2018
[ Video ]

Transfer Learning for Performance Analysis of Highly-Configurable Software
UC Irvine, California, January, 2018

Transfer Learning for Software Performance Analysis: An Exploratory Analysis
Urbana-Champaign, IL, November, 2017

Architecting for Scale
Invited lecture at CMU, Pittsburgh, PA, October, 2017

Learning Software Performance Models for Dynamic and Uncertain Environments
Raleigh, NC, June, 2017

Transfer Learning for Improving Model Predictions in Highly Configurable Software
DARPA Workshop, Boston, MA, March, 2017

An Uncertainty-Aware Approach to Optimal Configuration of Stream Processing Systems
Bern University, Bern, Switzerland, November, 2016

Machine Learning meets DevOps
Dagstuhl seminar (Software Performance Engineering in the DevOps World), Dagstuhl, Germany, September, 2016

Transfer Learning for Optimal Configuration of Big Data Software
Imperial College London, UK, June, 2016

Microservices Architecture Enables DevOps: Migration to a Cloud-Native Architecture
RG DevOps Performance Working Group, March, 2016

Fuzzy Self-Learning Controllers for Elasticity Management in Dynamic Cloud Architectures
Shonan, Japan, April, 2016

Self-learning Cloud Controllers
Trinity College Dublin, Dublin, Ireland (February 2015); Federal University of Ceará, Fortaleza, Brazil (January 2015), Februrary, 2015

Cloud Migration Patterns: A Multi-Cloud Architectural Perspective
Ceará State University, Fortaleza, Brazil, January, 2015

Fuzzy Control meets Software Engineering
Dagstuhl seminar (Control Theory meets Software Engineering), Dagstuhl, Germany, September, 2014

Invited Talks