01:08:13

Learning and Control for Safety, Efficiency, and Resiliency of Embodied AI – Fei Miao

01:16:26

Recycling Fine-Tuned Models to Pretrain – Leshem Choshen

01:10:56

The Role of Joint Embodiment in Situated Language-Based Interactions – Alane Suhr

01:26

Virtual Tour of Latrobe Hall

03:26

Invest in Your Future with Johns Hopkins Master’s in Financial Mathematics

56:34

Rethinking the Security and Privacy of Bluetooth Low Energy – Zhiqiang Lin

02:02:13

Structured World Models for Robots – Krishna Murthy

01:05:21

Robot Navigation in Complex Indoor and Outdoor Environments – Dinesh Manocha

01:11:08

Building Foundation Models for Vision and Robotics – Aniruddha Kembhavi

01:10:58

Data-Distributional Approaches for Generalizable Language Models – Sang Michael Xie

01:57:33

Learning and Planning with Relational Abstractions – Tom Silver

01:01:02

Foundations of Multisensory Artificial Intelligence – Paul Liang

01:02:47

Hardware-Aware Efficient Primitives for Machine Learning – Dan Fu

58:46

Adversarial Robustness and Forensics for Deep Neural Networks – Ben Y. Zhao

01:04:37

Uncertain Surface Reconstruction – Silvia Sellán

01:02:34

On the Semantic AI Security in CPS: The Case of Autonomous Driving – Alfred Chen

01:02:22

Building Certifiably Safe and Correct Large-Scale Autonomous Systems – Chuchu Fan

01:09:03

Trustworthy Human-AI Partnerships – Sarvapali "Gopal" Ramchurn

01:01:04

Trustworthy Machine Learning and the Security Mindset – Somesh Jha

27:57

How We Trust a Black Box: Formal Verification of Deep Neural Networks – Huan Zhang

01:00:20

Designing Machine Learning Processes for Equitable Health Systems – Marzyeh Ghassemi

58:35

A Carative Approach to AI Governance – Kush R. Varshney

59:51

The Past, Present, and Future of SLAM – John Leonard

58:47

Interpretable Neural Networks for Computer Vision – Cynthia Rudin

58:33

Safe and Fair Machine Learning: A Seldonian Approach – Phil Thomas

01:06:55

Good Research Karma: The Unexpected Benefits of Striving for Algorithmic Fairness – Omer Reingold

01:09:28

Scalable, Accurate, Robust Binary Analysis with Transfer Learning Trace Modeling – Kexin Pei

01:04:14

My Research Journey: Soft Router, Protocols, and Wireless DDoS – Krishan Sabnani

01:01:53

The Soft, White Underbelly of our Critical Infrastructure – Greg Falco

57:36

Test Methods for Assuring Artificial Intelligence – Laura Freeman

01:01:00

An Overview of the NIST Trustworthy AI Program – Elham Tabassi

01:02:39

Certified Control For Autonomous Driving – Daniel Jackson

01:03:25

Ensuring Equity in Aging – Ehsan Hoque

01:00:24

The Network as a Programmable Platform – Larry Peterson

59:49

Designing Cooperative and Socially-Aware Autonomy – Alyssa Pierson

01:02:59

The Cyber Weapons Arms Race – Nicole Perlroth

01:11:08

Pervasive Well-Being Technology – Pablo Paredes

57:42

Human-AI Systems for Making Videos Useful – Amy Pavel

54:27

Bias and Representation in Sociotechnical Systems – Danaë Metaxa

01:07:17

Beyond Prediction: NLP for Causal Inference – Dhanya Sridhar

01:04:02

Towards Trustworthy AI: Provably Robust Extrapolation for Decision-Making – Anqi “Angie” Liu

01:20:50

Machine Learning & Causality: Building Efficient, Reliable Models for Decision-Making – Maggie Makar

59:43

Human-Centered Autonomy for Resilient Space Systems – Greg Falco

59:11

Open Problems of Computational Immunogenomics – Yana Safanova

02:04:33

Learning Optimization Models – Kimia Ghobadi

01:01:49

Assessing Human-Autonomy Interaction in Driving Assist Settings – Missy Cummings

01:01:56

The Ethical Algorithm – Michael Kearns and Aaron Roth

01:16:51

Context-Aware Safety Monitoring in Medical Cyber-Physical Systems – Homa Alemzadeh

01:00:11

Anomaly Detection Through Explanations – Leilani Gilpin

01:08:02

Trends in Computer-Assisted Orthopaedic Surgery Research – Mehran Armand

01:00:38

Knowing What AI Systems Don’t Know and Why it Matters – Jim Hendler

01:02:01

Q&A with Ed Catmull

01:03:15

Overparameterized and Adversarially Robust Sparse Models – Jeremias Sulam

01:07:37

Optimizing the Cost of Distributed Learning – Carlee Joe-Wong

01:11:42

The Network as a Programmable Platform – Nick McKeown

01:03:07

Trustworthy AI – Jeannette Wing

01:06

Congratulations Master's Class of 2024!

02:00

Celebrating 60 years of Hopkins BME

01:29:44

2024 Doctoral Hooding Ceremony

05:16:29

Master's Recognition Ceremony May 20, 2024