Home > Events > All Seminars > Faculty Candidate Seminars

Faculty Candidate Seminars

Faculty Candidate Seminar

Performance Interfaces for Systems Software and Hardware

Rishabh Iyer, Postdoc, University of California, Berkeley

9:00am – 10:00am in 3725 Beyster Building

Add to Google Calendar

Faculty Candidate Seminar

Sublinear Algorithms and Quantum Computing

John Kallaugher, Senior Member of Technical Staff , Sandia National Laboratories

10:30am – 11:30am in 3725 Beyster Building

Add to Google Calendar

Faculty Candidate Seminar

Neural Operator for Scientific Computing

Zongyi Li, Ph.D. Candidate, CalTech

10:30am – 11:30am in 3725 Beyster Building

Add to Google Calendar

Faculty Candidate Seminar

Security & Privacy through Programmable Cryptography, Compilers, and Verification

Alex Ozdemir, Ph.D. Candidate, Stanford University

9:00am – 10:00am in 3725 Beyster Building

Add to Google Calendar

CSE Seminar | ECE Faculty Candidate Seminar | ECE Faculty Candidate Seminar | Faculty Candidate Seminar

From Language to Silicon: Programming Systems for Sparse Accelerators

Olivia Hsu, PhD Candidate, Stanford University

10:30am – 11:30am in 3725 Beyster Building

Add to Google Calendar

Faculty Candidate Seminar

Aligning AI Agents with an Ideal

Silviu Pitis, Ph.D. Candidate, University of Toronto

10:30am – 11:30am in 3725 Beyster Building

Add to Google Calendar

Faculty Candidate Seminar

Developing Responsible AI Monitoring Technologies for Chronic Care

Daniel Adler, Ph.D. Candidate, Cornell University

10:30am – 11:30am in 3725 Beyster Building

Add to Google Calendar

Past Seminars

Faculty Candidate Seminar

Multisensory Dexterity for Robotics

Haozhi Qi, Ph.D. Candidate, University of California, Berkeley

Faculty Candidate Seminar

Privacy, Copyright, and Data Integrity: The Cascading Implications of Generative AI

Niloofar Mireshghallah, Postdoc, University of Washington

Faculty Candidate Seminar

Building the Tools to Program a Quantum Computer

Charles Yuan, Ph.D. Candidate, Massachusetts Institute of Technology

Faculty Candidate Seminar

From Agents to Optimization: User Interface Understanding and Generation

Jason Wu, Research Scientist, Apple

Faculty Candidate Seminar

Learning, Reasoning, and Planning with Neuro-Symbolic Concepts

Jiayuan Mao, Ph.D. Candidate, Massachusetts Institute of Technology

Faculty Candidate Seminar

Thinking Outside the GPU: Systems for Scalable Machine Learning Pipelines

Mark Zhao, Ph.D. Candidate, Stanford University

Faculty Candidate Seminar

Understanding and Enhancing Deep Neural Networks with Automated Interpretability

Tamar Rott Shaham, Postdoc, Massachusetts Institute of Technology

Faculty Candidate Seminar

Teaching Demonstration: What Should I Test? How to Think About and Select Test Inputs

James Perretta, Ph.D. Candidate, Northeastern University

Faculty Candidate Seminar

Learning to Perceive the 4D World

Qianqian Wang, Postdoc, University of California, Berkeley

Faculty Candidate Seminar

Where can quantum computers outperform classical computers?

Bobak Kiani, Postdoc, Harvard University

Faculty Candidate Seminar

Generative Computer Vision for the Physical World

Ruoshi Liu, Ph.D. Candidate, Columbia University

Faculty Candidate Seminar

Adventures in Feature Space: Vector Similarity Measures for Machine Learning

Elle O’Brien, Lec IV, University of Michigan School of Information

Faculty Candidate Seminar

Steering Machine Learning Ecosystems of Interacting Agents

Meena Jagadeesan, Ph.D. Candidate, University of California, Berkeley

Faculty Candidate Seminar

Pareto-efficient AI systems: Expanding the quality and efficiency frontier of AI

Simran Arora, Ph.D. Candidate, Stanford University

Faculty Candidate Seminar

Introduction to Classes and Objects in Python

Liia Butler, Ph.D. Candidate, University of Illinois Urbana-Champaign

Faculty Candidate Seminar

Bloom Filters and MinHash: Two Probabilistic Data Structures

Kel Levick, Ph.D. Candidate, University of Illinois Urbana-Champaign

Faculty Candidate Seminar

kNNs and Hyperparameter Optimization

Henry Chai, Assistant Teaching Professor, Carnegie Mellon University

Faculty Candidate Seminar

Why reinvent the wheel? A lecture on software engineering with reuse

Tobias Duerschmid, Ph.D. Candidate, Carnegie Mellon University

Faculty Candidate Seminar

Teaching Demonstration: An Introduction to Register-Transfer-Level Design Decomposition

Travis Doom, Associate Dean and Professor of Computer Science and Engineering, Wright State University

Faculty Candidate Seminar

Generalizing Beyond the Training Distribution through Compositional Generation

Yilun Du, Ph.D. Candidate, Massachusetts Institute of Technology

Faculty Candidate Seminar

Programmable Software Systems for Correct High-performance Applications

Konstantinos Kallas, Ph.D. Candidate, University of Pennsylvania

Faculty Candidate Seminar

Circular Interactive Material: making ubiquitous computing more scalable and sustainable

Tingyu Cheng, Ph.D. Candidate, Georgia Institute of Technology

Faculty Candidate Seminar

Learning from Interaction

Kiante Brantley, Postdoc, Cornell University

Faculty Candidate Seminar

Efficient Deep Learning with Sparsity: Algorithms, Systems, and Applications

Zhijian Liu, Ph.D. Candidate, Massachusetts Institute of Technology

Faculty Candidate Seminar

Towards Principled Sequential Decision-Making

Qinghua Liu, Ph.D. Candidate, Princeton University

2025 2024 2023 2022 2021 2020 2019 2018 2017 2016 2015 2014 2013 2012 2011 2010 2009 2008 2007 2006 2005 2004 2003 2002