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Faculty Candidate Seminars
Faculty Candidate Seminars
APR
19
2024
Faculty Candidate Seminar
Generalizing Beyond the Training Distribution through Compositional Generation
Yilun Du, Ph.D. Candidate, Massachusetts Institute of Technology
10:30am – 11:30am in 3725 Beyster Building
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Past Seminars
APR
15
2024
Faculty Candidate Seminar
Programmable Software Systems for Correct High-performance Applications
Konstantinos Kallas, Ph.D. Candidate, University of Pennsylvania
APR
12
2024
Faculty Candidate Seminar
Circular Interactive Material: making ubiquitous computing more scalable and sustainable
Tingyu Cheng, Ph.D. Candidate, Georgia Institute of Technology
APR
11
2024
Faculty Candidate Seminar
Learning from Interaction
Kiante Brantley, Postdoc, Cornell University
APR
09
2024
Faculty Candidate Seminar
Efficient Deep Learning with Sparsity: Algorithms, Systems, and Applications
Zhijian Liu, Ph.D. Candidate, Massachusetts Institute of Technology
APR
05
2024
Faculty Candidate Seminar
Towards Principled Sequential Decision-Making
Qinghua Liu, Ph.D. Candidate, Princeton University
APR
04
2024
Faculty Candidate Seminar
Intelligent Textiles for Physical Interactions
Yiyue Luo, Ph.D. Candidate, Massachusetts Institute of Technology
MAR
28
2024
Faculty Candidate Seminar
Unleashing the Power of Ubiquitous IoT Sensors for Ambient Intelligence
Ke Sun, Ph.D. Candidate, University of California, San Diego
MAR
27
2024
Faculty Candidate Seminar
Finding Shortest Paths in the Real World
Kshitij Gajjar, Assistant Professor, Indian Institute of Technology Hyderabad
MAR
25
2024
Faculty Candidate Seminar
Building Planetary-Scale Collaborative Intelligence
Sai Praneeth Karimireddy, Postdoc, University of California, Berkeley
MAR
20
2024
Faculty Candidate Seminar
Towards Principled Modeling of Inductive Bias for Generalizable Machine Learning
Weiyang Liu, Ph.D. Candidate, Max Planck Institute
MAR
15
2024
Faculty Candidate Seminar
Data Privacy in the Decentralized Era
Amrita Chowdhury, Postdoc, University of California, San Diego
MAR
15
2024
Faculty Candidate Seminar
Causal Inference for Robust, Reliable, and Responsible NLP
Zhijing Jin, Ph.D. Candidate, Max Planck Institute & ETH Zurich
MAR
08
2024
Faculty Candidate Seminar
Understanding Language Models through Discovery and by Design
John Hewitt, Ph.D. Candidate, Stanford University
MAR
07
2024
Faculty Candidate Seminar
Designing efficient and scalable cache management systems
Juncheng Yang, Ph.D. Candidate, Carnegie Mellon University
MAR
04
2024
Faculty Candidate Seminar
The Binomial Theorem
Jesse Stern, Ph.D. Candidate, University of Chicago
FEB
23
2024
Faculty Candidate Seminar
Modern Clouds: Side-Channel Attacks and Defenses
Neil Zhao, Ph.D. Candidate, University of Illinois Urbana-Champaign
FEB
22
2024
Faculty Candidate Seminar
Hardware-Aware Efficient Primitives for Machine Learning
Dan Fu, Ph.D. Candidate, Stanford University
FEB
13
2024
Faculty Candidate Seminar
Impacting the future one failure at a time
Krisztian Flautner
FEB
09
2024
Faculty Candidate Seminar
Accessible Foundation Models: Systems, Algorithms, and Science
Tim Dettmers, Ph.D. Candidate, University of Washington
FEB
08
2024
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
FEB
06
2024
Faculty Candidate Seminar
Content Moderation in Social Media: The Steel Armor of Social Media
Mohit Singhal, Ph.D. Candidate, University of Texas at Arlington
FEB
02
2024
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
JAN
22
2024
Faculty Candidate Seminar
An Introduction to Inheritance in Java
Scott Dexter, Professor of Computer Science, Alma College
DEC
05
2023
Faculty Candidate Seminar
Neurons to Numerical Analysis: Applications of machine learning in scientific computing
Kevin Wandke, Ph.D. Candidate, University of Illinois Urbana-Champaign
NOV
30
2023
Faculty Candidate Seminar
What Can Cryptography Do For Decentralized Mechanism Design?
Ke Wu, Ph.D. Candidate, Carnegie Mellon University
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About
Welcome to CSE
By the Numbers
Advisory Board
History
Faculty Hiring
Giving
Visit
Bob and Betty Beyster Building
Leinweber Computer Science and Information Building ↗
Emergency and Safety Info
Resources
CSE Store ↗
Contact
Community
Our Values: HACKS
Community News
Are You New to CS?
Life as a CSE Grad Student
Resources for Student Support and Inclusion
Student Groups and Teams
CSE Action Plan
DEI and Climate ↗
Reporting Concerns and Misconduct
Academics
Graduate
Undergraduate
Course Resources
Research
Research Areas
Labs & Centers
Tech Transfer & Startups
Industrial Relations
Reports & Publications
People
Faculty
PhD Students
Postdocs
Staff
Alumni
Honors and Awards
Hire Our PhDs and Postdocs
News
Events