Prof. Mahyar Fazlyab — Research Profile
Johns Hopkins University · Electrical and Computer Engineering
Graduate application deadlines
Electrical and Computer Engineering
PhD Electrical and Computer Engineering
Fall 2027Application deadline
Dec 15, 2026
MSE Electrical and Computer Engineering
Fall 2027Application deadline
Feb 15, 2027
Considering this lab for grad school?
Save it to compare side by side with other labs. Jot a one-line note under each paper below — Application prep gathers your notes into an outline for your email to the PI and your statement of purpose. You do the writing; no AI.
What to prepare before emailing a PIAbout
Prof. Mahyar Fazlyab at Johns Hopkins University Electrical and Computer Engineering lists Safety and stability of learning-enabled autonomous systems as their registered research area.
Research keywords
Recent papers
- Certified Robustness via Sparse Second-Order Cone RelaxationsPreprintarXiv (Cornell University) · Oct 12
- Beyond Average Safety: Chance-Constrained LLM Fine-tuningPreprintarXiv (Cornell University) · Sep 24
- Minimally Invasive Steering of Language ModelsPreprintarXiv (Cornell University) · Sep 24
From OpenAlex · papers whose author affiliation matches this university
Labs doing related research
Labs that recently published on topics this lab's recent papers share
Sanmi Koyejo Lab
Stanford University · Computer Science
Verbalizing Subliminal Learning Effects Using Text OptimizationPreprintarXiv (Cornell University) · Sep 15Shared topic: Adversarial Robustness in Machine Learning
Julian McAuley Lab
University of California, San Diego · Department of Computer Science and Engineering
OPBackdoor: Opportunistic Backdoors via Alibi-Aligned ReasoningPreprintarXiv (Cornell University) · Sep 21Shared topic: Adversarial Robustness in Machine Learning
Sergey Levine Lab
University of California, Berkeley · Electrical Engineering and Computer Sciences
Measuring Empowerment from Offline Data for Intrinsically Motivated ExplorationPreprintarXiv (Cornell University) · Oct 17Shared topic: Reinforcement Learning in Robotics
Other labs in this department
- Amy Foster Lab
- Andreas Andreou Lab
Principles of computing and computing machinery, Sensory information processing and theoretical neuroscience, Pattern analysis and machine intelligence, Microsystems technologies, devices, sensors, integrated circuits
- Berrak Sisman Lab
Artificial Intelligence, Speech Processing, Machine Learning, Emotion, Medical Applications, Secure Speech Technology
- Chaowei Xiao Lab
Artificial intelligence, Deep learning, Continual learning, Safety, Security, Robotic engineering
- Chinmay Maheshwari Lab
- Ed Schlesinger Lab