أحْمَد رُشْدِي

Invited Talks

Some slides can be made available upon request.

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• Responsible AI in Practice: Examples from Text-to-Image Generation Models
  at GenAI Developer Workshop Day, virtual, September 2024

• Bias in Text-to-Image Generation Models: Risks, Mitigations, and an Evaluation-Driven Approach for Responsible Development
  at AI for Good Institute, Impact Genius, Stanford University, July 2024

• Applied AI Ethics: Embedding Responsible Practices in Upstream AI Research and Development
  at AI for Good Institute, Impact Genius, Stanford University, July 2024

• Language and Vision Foundation Models: Uncertainty Quantification & Model Evaluation
  at NextGen Hackathon II, Riyadh, Saudi Arabia, May 2024

• Quantifying Uncertainty in Machine Learning Models for Time Series Classification
  at SIAM Conference on Uncertainty Quantification (SIAM-UQ), virtual, April 2022

• Efficient DNN Architectures for Time Series Classification
  at Sandia ML/DL Workshop, virtual, July 2021

• Estimating Predictive Uncertainty in Scientific Machine Learning: A Library of Methods and Test Problems
  at the Uncertainty Management and Machine Learning in Engineering Applications and Sandia ML/DL Workshop, virtual, November 2020

• Embracing Randomness for Uncertainty Quantification in Neural Networks
  at the Conference on Data Analysis (CoDA), Santa Fe, NM, February 2020

• Deep Learning Techniques for the Detection of DNA Regulatory Motifs
  at Sandia ML/DL Workshop, Albuquerque, NM, July 2019

• Fusing Machine Learning and Uncertainty Quantification Methods
  at Sandia ML/DL Workshop, Albuquerque, NM, July 2019

• Beyond Images: Extending Deep Learning into Emerging Data-Driven Applications
  to the Optimization and Uncertainty Quantification Department, Sandia National Labs, Albuquerque NM, December 2018

• Local Active Subspaces for Dimension Reduction
  at SIAM Workshop on Parameter Space Dimension Reduction (SIAM-DR), Pittsburgh, PA, July 2017.
  Host: Paul Constantine

• An Ensemble Grouping Framework Based on Voronoi Piecewise Surrogate Models
  at SIAM conference on Computational Science and Engineering (SIAM-CSE), Atlanta, GA, February 2017.
  Host: Eric Phipps

• Mesh Improvement via Constrained Resampling: A Comprehensive Approach
  at the department of Methods and Algorithms at Los Alamos National Laboratory (LANL), Los Alamos, NM, June 2016.
  Host: Mikhail Shashkov

• Recursive k-d Darts Sampling for Exploring High-Dimensional Spaces
  at SIAM Conference on Uncertainty Quantification (SIAM-UQ), Lausanne, Switzerland, April 2016.
  Host: Fabio Nobile

• Locally-Accurate Surrogate models for Credible High-Dimensional Data Analysis
  at Dept. of Computer Science & Engineering (CSE) of New Mexico Tech (NMT), Socorro, NM, USA, March 2016.
  Host: Abdelmounaam Rezgui

• VPS: Voronoi Piecewise Surrogates for High-Dimensional Data Fitting
  at the 4th SRI Annual Workshop on Uncertainty Quantification, Advances in UQ Methods, Algorithms and Applications (UQAW), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, January 2016.
  Host: Raul Tempone and Omar Knio

• Feature-Preserving Spatial Density Tuning of a Maximal Random Disk Packing
  at the 13th US National Congress on Computational Mechanics, San Diego, CA, USA, July 2015.
  Host: Scott A. Mitchell

• LS Polynomial Optimization for Constructing Voronoi Piecewise Surrogates
  to the Optimization and Uncertainty Quantification Department, Sandia National Labs, Albuquerque NM, November 2014.
  Host: Fabio Nobile

• An Overview of Probabilistic Graphical Models
  to the Computational Visualization Center at the University of Texas, Austin TX, June 2014.
  Host: Chandrajit Bajaj

• Feature Detection and Parameter Estimation of Random Data Using Fourier and Signal Processing Methods
  to the Optimization and UQ Dept., Sandia National Labs, Albuquerque NM, November 2013.
  Host: James R. Stewart

• SerDes Channel Equalization: FFE and DFE approaches
  at Cisco PCB-HW Conference, Cisco Systems, San Jose CA, February 2012.

• Cost-Effective DSP Models for DNA Sequence Analysis
  at the Industrial Affiliates Conference, department of Electrical and Computer Engineering, UCDavis, Davis CA, June 2008.

• On the Anatomy of a Gigabit Eye Diagram
  at the Interns Presentations Convention of the Engineering Learning Group, Cisco Systems, Inc., Milpitas CA, August 2007.
  Best poster award.

• An Efficient DSP Framework for Gene Prediction
  at CITRIS corporate sponsor day, of the Mathematical Sciences Research Institute (MSRI), Berkeley CA, June 2006.

• Multirate Signal Processing Algorithm for Exons Detection
  at theIndustrial Affiliates Conference, department of Electrical and Computer Engineering, UCDavis, Davis CA, June 2006.

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