Meet ApplyKite Twin, the application assistant that learns with you

Meet your Twin, it learns with you

Your Twin learns with you

Launch week codes:30% off annual Pro20% off monthly Pro

Ends in00h00m00s

Boian Alexandrov

Has grant

Research Professor

University of New Mexico

United States

Research Interests

Explore related searches

Professors in United States Professors in Fluid Mechanics Fluid Mechanics professors in United States

Recent Grants

Grant: Open

Advance Discovery Venture

Open Date: 2024-01-01

Close Date: 2028-01-01

Grant: Close

PULSE-TN – Predictive Ultrafast Low-Rank Simulations via Embedded Tensor Networks

Open Date: 2024-01-01

Close Date: 2026-01-01

Grant: Close

Ultra-fast Tensor Network Solver for Ultra-large Problems

Open Date: 2023-10-01

Close Date: 2025-09-01

Grant: Close

Virus-Tensor Ai

Open Date: 2023-01-01

Close Date: 2025-01-01

Grant: Close

Scientific Leadership Identification and Characterization

Open Date: 2020-01-01

Close Date: 2024-01-01

Articles (20)

Year:

2026

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2024

Year:

2023

Year:

2023

Year:

2023

Collaborators (9)

Frank W. Sellke

Chief of Cardiothoracic Surgery

Rhode Island Hospital

UNITED STATES

University of Michigan

UNITED STATES

View details

Anny Usheva

Professor / research

UNITED STATES

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Boian Alexandrov

Research Interests

Explore related searches

Recent Grants

Articles (20)

A tensor train-based isogeometric solver for large-scale 3D poisson problems

Tensor-train WENO scheme for compressible flows

Space-Time Finite Element Tensor Network Approach for the Time-Dependent Convection–Diffusion–Reaction Equation with Variable Coefficients

Breaking the curse of dimensionality: Solving configurational integrals for crystalline solids by tensor networks

Topic Modeling and Link-Prediction for Material Property Discovery

Bridging Legal Knowledge and AI: Retrieval-Augmented Generation with Vector Stores, Knowledge Graphs, and Hierarchical Non-negative Matrix Factorization

Specificity and tunability of efflux pumps: A new role for the proton gradient?

Classifying Malware Using Tensor Decomposition

DNA breathing integration with deep learning foundational model advances genome-wide binding prediction of human transcription factors

Enhancing Code Translation in Language Models with Few-Shot Learning via Retrieval-Augmented Generation

Tensor Network Space-Time Spectral Collocation Method for Time-Dependent Convection-Diffusion-Reaction Equations

TopicTag: Automatic Annotation of NMF Topic Models Using Chain of Thought and Prompt Tuning with LLMs

Tensor networks for solving the time-independent Boltzmann neutron transport equation

Catch'em all: Classification of Rare, Prominent, and Novel Malware Families

Correction to: Distributed out-of-memory NMF on CPU/GPU architectures(The Journal of Supercomputing, 10.1007/s11227-023-05587-4)

Generating Hidden Markov Models from Process Models Through Nonnegative Tensor Factorization

The Tensor-Train Mimetic Finite Difference Method for Three-Dimensional Maxwell’s Wave Propagation Equations

Impaired cardiac glycolysis and glycogen depletion are linked to poor myocardial outcomes in juvenile male swine with metabolic syndrome and ischemia

Conotoxin Prediction: New Features to Increase Prediction Accuracy

Distributed out-of-memory NMF on CPU/GPU architectures

Collaborators (9)

Frank W. Sellke

Dimiter N. Petsev

Ben Nebgen

Mustafa Engin Danis

Cynthia Matuszek

Amarda Shehu

Manish Bhattarai

Saibal De

Anny Usheva

Make your next move.