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Faculty Candidate Seminars

Events for 2024

Faculty Candidate Seminar

An Introduction to Inheritance in Java

Scott Dexter, Professor of Computer Science, Alma College

Faculty Candidate Seminar

Sub-cent Processors, Earable Computers, and Space Microdatacenters: Novel Computer Systems for Truly Ubiquitous Computing

Nathaniel Bleier, Ph.D. Candidate, University of Illinois Urbana-Champaign

Faculty Candidate Seminar

Content Moderation in Social Media: The Steel Armor of Social Media

Mohit Singhal, Ph.D. Candidate, University of Texas at Arlington

Faculty Candidate Seminar

Catch M(oor)e If You Can: Agile Hardware/Software Co-Design for Hyperscale Cloud Systems

Sagar Karandikar, Ph.D. Candidate, University of California, Berkeley

Faculty Candidate Seminar

Accessible Foundation Models: Systems, Algorithms, and Science

Tim Dettmers, Ph.D. Candidate, University of Washington

Faculty Candidate Seminar

Impacting the future one failure at a time

Krisztian Flautner, CEO, Banzai Cloud; Director of Strategy, Cisco; Intermittent Lecturer, University of Michigan; President, Utopian LLC; Former VP Research & Development, ARM

Faculty Candidate Seminar

Hardware-Aware Efficient Primitives for Machine Learning

Dan Fu, Ph.D. Candidate, Stanford University

Faculty Candidate Seminar

Modern Clouds: Side-Channel Attacks and Defenses

Neil Zhao, Ph.D. Candidate, University of Illinois Urbana-Champaign

Faculty Candidate Seminar

The Binomial Theorem

Jesse Stern, Ph.D. Candidate, University of Chicago

Faculty Candidate Seminar

Designing efficient and scalable cache management systems

Juncheng Yang, Ph.D. Candidate, Carnegie Mellon University

Faculty Candidate Seminar

Understanding Language Models through Discovery and by Design

John Hewitt, Ph.D. Candidate, Stanford University

Faculty Candidate Seminar

Causal Inference for Robust, Reliable, and Responsible NLP

Zhijing Jin, Ph.D. Candidate, Max Planck Institute & ETH Zurich

Faculty Candidate Seminar

Data Privacy in the Decentralized Era

Amrita Chowdhury, Postdoc, University of California, San Diego

Faculty Candidate Seminar

Towards Principled Modeling of Inductive Bias for Generalizable Machine Learning

Weiyang Liu, Ph.D. Candidate, Max Planck Institute

Faculty Candidate Seminar

Building Planetary-Scale Collaborative Intelligence

Sai Praneeth Karimireddy, Postdoc, University of California, Berkeley

Faculty Candidate Seminar

Finding Shortest Paths in the Real World

Kshitij Gajjar, Assistant Professor, Indian Institute of Technology Hyderabad

Faculty Candidate Seminar

Unleashing the Power of Ubiquitous IoT Sensors for Ambient Intelligence

Ke Sun, Ph.D. Candidate, University of California, San Diego

Faculty Candidate Seminar

Intelligent Textiles for Physical Interactions

Yiyue Luo, Ph.D. Candidate, Massachusetts Institute of Technology

Faculty Candidate Seminar

Towards Principled Sequential Decision-Making

Qinghua Liu, Ph.D. Candidate, Princeton 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

Learning from Interaction

Kiante Brantley, Postdoc, Cornell University

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

Programmable Software Systems for Correct High-performance Applications

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

Faculty Candidate Seminar

Generalizing Beyond the Training Distribution through Compositional Generation

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

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

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

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

Faculty Candidate Seminar

kNNs and Hyperparameter Optimization

Henry Chai, Assistant Teaching Professor, Carnegie Mellon University

Faculty Candidate Seminar

Bloom Filters and MinHash: Two Probabilistic Data Structures

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

Faculty Candidate Seminar

Introduction to Classes and Objects in Python

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

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