Prof. Dave Zachariah — Research Profile
Uppsala University · Division of Systems and Control, Department of Information Technology
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. Dave Zachariah at Uppsala University Division of Systems and Control, Department of Information Technology lists statistical machine learning & signal processing, decision theory & causal inference, localization & sensor fusion as their registered research area.
Research keywords
Recent papers
- Anytime Valid Confidence Bands for Distribution FunctionsPreprintarXiv (Cornell University) · Oct 26
- Adversarial Training of Linear Models under Stealthy AttacksPreprintarXiv (Cornell University) · Aug 26
- Detecting Feedback-path Delay Injection Attacks Using Interacting Multiple Model FilteringPreprintarXiv (Cornell University) · Aug 19
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
Melanie Zeilinger Lab
ETH Zurich · Department of Mechanical and Process Engineering
Scalable Gaussian Process Regression via Deterministic Trigonometric Features: Uniform Bounds for Safe Model Predictive ControlPreprintarXiv (Cornell University) · Aug 17Shared topic: Control Systems and Identification
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
Aaron Ames Lab
California Institute of Technology · Computing + Mathematical Sciences
VLPSA: Vision-Language-Poisson-Safe Actions for Full-Body Safety of Learned PoliciesPreprintarXiv (Cornell University) · Sep 18Shared topic: Robotic Path Planning Algorithms
Other labs in this department
- Alexander Medvedev Lab
- Anca-Juliana Stoica Lab
software and system engineering theory and practice, computer and system sciences, value-based software engineering, software engineering and security architecture, optimization techniques
- André Teixeira Lab
control algorithm and optimization, automatic control, optimization, control theory and system dynamics, reinforcement learning, cybersecurity, federated machine learning, privacy preserving, privacy preserving machine learning, control theory, cyber-physical systems, networked control systems
- Antonio Horta Ribeiro Lab
Machine learning, Signal processing, Biomedical Informatics, System identification, AI for Medicine
- David J.T. Sumpter Lab
- Ekta Vats Lab
vision-language models (VLMs), large language models (LLMs), video-LLMs, machine learning, deep learning, computer vision, image analysis, handwritten text recognition, OCR, natural language processing, data science, human action recognition, artificial intelligence, multispectral imaging