Prof. Aryan Mokhtari — Research Profile
The University of Texas at Austin · Chandra Family Department of Electrical and Computer Engineering
Graduate application deadlines
Chandra Family Department of Electrical and Computer Engineering
PhD in Electrical and Computer Engineering
Fall 2027Application deadline
Dec 1, 2026
Source: ece.utexas.eduChecked Nov 2, 2026MSE in Electrical and Computer Engineering
Fall 2027Application deadline
Dec 1, 2026
Source: ece.utexas.eduChecked Nov 2, 2026
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텍사스 대학교 오스틴 전기컴퓨터공학과 소속 Aryan Mokhtari 교수의 등록된 연구 분야는 Optimization, Machine Learning, Artificial Intelligence입니다.
Research keywords
Recent papers
- Improved Gradient Complexity for Quasi-Newton Proximal Extragradient Methods via Certified Curvature ReuseNewPreprintarXiv (Cornell University) · Oct 29
- Online learning guided quasi-Newton methods with global non-asymptotic convergenceMathematical Programming · Aug 19
- Stochastic Dynamic Barrier Perturbed Gradient Methods for Nonconvex Simple Bilevel OptimizationPreprintarXiv (Cornell University) · Jul 12
From OpenAlex · papers whose author affiliation matches this university
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Can We Break LLMs Out of Self-Loops? Fine-Grained Reasoning Control with Activation SteeringPreprintarXiv (Cornell University) · Jul 20Shared topic: Topic Modeling
Sanmi Koyejo Lab
Stanford University · Computer Science
How Strong Is the Evidence for the Artificial Hivemind? Reevaluating Evidence for the Open-Ended Homogeneity of Language ModelsPreprintarXiv (Cornell University) · Sep 27Shared topic: Topic Modeling
Randall Balestriero Lab
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AnyGoal: On World Model Generalization Beyond Expert RolloutsPreprintarXiv (Cornell University) · Oct 19Shared topic: Domain Adaptation and Few-Shot Learning
Other labs in this department
- Power Electronics and Magnetics Lab
Alex J. Hanson
Component- and system-level power electronics, High-frequency magnetics and circuits
- Alex Q. Huang Lab
Power Semiconductor Devices, Advanced Power Electronics, Renewable Energy Integration and Smart Grid, Power Management Integrated Circuits
- Amy Zhang Lab
Reinforcement Learning, Generalization, Representation Learning, Robotics
- Ananth Dodabalapur Lab
Organic, inorganic, hybrid thin-film transistors and Circuits, 2D Materials Device Physics and Chemistry, Nanomanufacturing, Optoelectronic Devices, Chemical sensing and bioelectronics
- System-Level Architecture and Modeling (SLAM) Lab
Andreas Gerstlauer
Embedded system design, Embedded hardware and software synthesis
- Visual Informatics Group
Atlas Wang
Machine Learning, Computer Vision, Optimization