Faculty Candidate Seminar

Name: Introduction to Classes and Objects in Python
Start: 2024-12-09T10:30:00-05:00
End: 2024-12-09T11:30:00-05:00
Location: 3725 Beyster Building

Events
Faculty Candidate Seminar

List
Month
Day
Photo
Week
Map

Event Details Get Directions

Events

Optimization and Learning in Energy Systems: Privacy and Performance

Feedback Design Principles for Efficient and Reliable Robot Learning

Teaching Faculty Candidate Seminar: Introduction to Hash Tables

What Can Cryptography Do For Decentralized Mechanism Design?

Neurons to Numerical Analysis: Applications of machine learning in scientific computing

An Introduction to Inheritance in Java

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

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

Engineering Ultrawide Bandgap Semiconductors at the Atomic Scale

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

Accessible Foundation Models: Systems, Algorithms, and Science

Toward Energy-efficient Electronics from Ultrawide-Bandgap Semiconductors: Materials, Devices, and Application

Impacting the future one failure at a time

Cyber-Physical Protection of Multi-Terminal DC Grids

Multidimensional Power Devices in (Ultra-)Wide-Bandgap Semiconductors

Foundations for Efficient Information Usage: Inference, Storage, Networks

Structured Control and Learning for Sustainable Energy Systems

Future Energy Storage System: A Bridge between Transportation and Power Systems

Hardware-Aware Efficient Primitives for Machine Learning

Modern Clouds: Side-Channel Attacks and Defenses

Codes, nearest neighbors, and learning: From communication to computation

The Binomial Theorem

Sequential nonparametric inference by betting

Designing efficient and scalable cache management systems

Understanding Language Models through Discovery and by Design

Toward Practical Quantum Computing Systems with Intelligent Cross-Stack Co-Design

Information theory for sequential decision-making

Scaling Deep Learning Up and Down

Causal Inference for Robust, Reliable, and Responsible NLP

Data Privacy in the Decentralized Era

Generative AI for 3D Content

Towards Principled Modeling of Inductive Bias for Generalizable Machine Learning

From Systemic to Regional: Personal Health and Medical Monitoring Systems that Adapt to Individual Variance

White-Box Computational Imaging: Measurements to Images to Insights

Building Planetary-Scale Collaborative Intelligence

Building the Infinite Brain

Finding Shortest Paths in the Real World

Unleashing the Power of Ubiquitous IoT Sensors for Ambient Intelligence

Towards Provably Safe and Secure Systems with Contract-Based Design

Power Electronics Hardware Accelerating Grid Technology Evolution and Deployment

Intelligent Textiles for Physical Interactions

Towards Principled Sequential Decision-Making

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

Learning from Interaction

Circular Interactive Material: making ubiquitous computing more scalable and sustainable

Programmable Software Systems for Correct High-performance Applications

Towards Practical Superconducting Computing with Technology-Driven Optimizations

Generalizing Beyond the Training Distribution through Compositional Generation

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

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

kNNs and Hyperparameter Optimization

Bloom Filters and MinHash: Two Probabilistic Data Structures

Introduction to Classes and Objects in Python