Kananart Kuwaranancharoen

Engineering · Purdue University West Lafayette

Early career · publishing since 2018Rising activity

Sparse and Compressive Sensing Techniques Distributed Control Multi-Agent Systems Stochastic Gradient Optimization Techniques Optimization and Variational Analysis Extracellular vesicles in disease

Publications

Citations

Est. group size

Recurring co-author estimate

Active years

Publishing since 2018

Research summary

AI-generated

This researcher works on distributed optimization, which involves designing algorithms that let multiple computers or agents jointly solve mathematical problems even when some participants behave unreliably or maliciously (so-called 'Byzantine' faults). Recent work also touches on multi-agent AI systems built from large language models, and on theoretical questions about combining convex functions (a class of well-behaved mathematical functions) to find optimal solutions. The overall focus blends mathematical optimization theory with practical questions about robustness in networked and multi-agent computing systems.

Distributed and Byzantine-resilient optimizationMulti-agent systemsConvex optimization theorySparse/compressive sensing methodsMulti-LLM agentic systems

Publication output has been irregular over the past decade, with gaps in some years followed by a notable spike in 2023, and a steady small output continuing through 2024-2026.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence

Publications per year over the last 10 years — averaging 2.6/year recently

Recent publications

Graph-based Target Back-Propagation for Context Adaptation in Multi-LLM Agentic Systems
arXiv (Cornell University) · 2026
Graph-based Target Back-Propagation for Context Adaptation in Multi-LLM Agentic Systems
arXiv (Cornell University) · 2026
On the Geometric Convergence of Byzantine-Resilient Distributed Optimization Algorithms
SIAM Journal on Optimization · 2025
Resilient Distributed Optimization
Elsevier eBooks · 2025
Scalable Distributed Optimization of Multi-Dimensional Functions Despite Byzantine Adversaries
IEEE Transactions on Signal and Information Processing over Networks · 2024
The minimizer of the sum of two strongly convex functions
Optimization · 2024
On the Geometric Convergence of Byzantine-Resilient Distributed Optimization Algorithms
arXiv (Cornell University) · 2023
On the Benefits of Leveraging Structural Information in Planning Over the Learned Model
2023
On the Benefits of Leveraging Structural Information in Planning Over the Learned Model
arXiv (Cornell University) · 2023
The Minimizer of the Sum of Two Strongly Convex Functions
arXiv (Cornell University) · 2023
Byzantine-Resilient Distributed Optimization of Multi-Dimensional Functions
2020
On the Set of Possible Minimizers of a Sum of Known and Unknown Functions
2020
On the Conditional Expectation of Mean Shifted Gaussian Distributions
arXiv (Cornell University) · 2020
On the Set of Possible Minimizers of a Sum of Known and Unknown\n Functions
arXiv (Cornell University) · 2020
On the Location of the Minimizer of the Sum of Two Strongly Convex Functions
2018

Publishes in

arXiv (Cornell University)×8
Communications Medicine×1
IEEE Transactions on Signal and Information Processing over Networks×1
SIAM Journal on Optimization×1
Zenodo (CERN European Organization for Nuclear Research)×1

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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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