Mayank Baranwal

Physics and Astronomy · University of Michigan

Mid career · publishing since 2011

Complex Network Analysis Techniques Microgrid Control and Optimization Distributed Control Multi-Agent Systems Smart Grid Energy Management Sparse and Compressive Sensing Techniques

Publications

Citations

719

Est. group size

Recurring co-author estimate

Active years

Publishing since 2011

In context

Among 950 mid career Physics and Astronomy PIs within our index

Citations: 719cohort median 1,187

Publications / year (recent): 7.0cohort median 3.4

Typically publishes in teams of ~3 · 73% small-team papers (≤3 authors) · across 17 venues

Publication cadence

Publications per year over the last 10 years — averaging 7.0/year recently

Collaborators per year

Distinct co-authors at University of Michigan each year — a rough indication of whether the group around this researcher has been growing or contracting. An estimate from co-authorship, not a roster: collaborators are not necessarily lab members, and recent years can be under-counted while indexing catches up.

Recent publications

On a Gradient Approach to Chebyshev Center Problems with Applications to Function Learning
arXiv (Cornell University) · 2026
On a Gradient Approach to Chebyshev Center Problems with Applications to Function Learning
arXiv (Cornell University) · 2026
Efficiency Boost in Decentralized Optimization: Reimagining Neighborhood Aggregation with Minimal Overhead
2025
Together We Rise: Optimizing Real-Time Multi-Robot Task Allocation using Coordinated Heterogeneous Plays
arXiv (Cornell University) · 2025
STING: A Graph Neural Network Approach for Computational Inference of Spatial Transcriptomic Profiles
bioRxiv (Cold Spring Harbor Laboratory) · 2025
Enhancing customer repurchase prediction: Integrating classification algorithms with RFM analysis for precision and actionable insights
IIMB Management Review · 2025
Decentralized Safe Control for Multi-Robot Navigation in Dynamic Environments with Limited Sensing
2024
On Linear Convergence of PI Consensus Algorithm under the Restricted Secant Inequality
2024
A Methodology Establishing Linear Convergence of Adaptive Gradient Methods under PL Inequality
arXiv (Cornell University) · 2024
Optimizing Multi-Robot Task Allocation in Dynamic Environments via Heuristic-Guided Reinforcement Learning
Frontiers in artificial intelligence and applications · 2024
A Methodology Establishing Linear Convergence of Adaptive Gradient Methods under PL Inequality
Frontiers in artificial intelligence and applications · 2024
ReactAIvate: A Deep Learning Approach to Predicting Reaction Mechanisms and Unmasking Reactivity Hotspots
Frontiers in artificial intelligence and applications · 2024
Deep learning enables early stage prediction of preterm birth using vaginal microbiota
Microbiota and Host · 2024
On Linear Convergence of PI Consensus Algorithm under the Restricted Secant Inequality
arXiv (Cornell University) · 2023
Neural differential equations enable early-stage prediction of preterm birth using vaginal microbiota
bioRxiv (Cold Spring Harbor Laboratory) · 2023

Publishes in

arXiv (Cornell University)×27
bioRxiv (Cold Spring Harbor Laboratory)×4
Frontiers in artificial intelligence and applications×3
Proceedings of the AAAI Conference on Artificial Intelligence×3
Bioinformatics×2

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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 25, 2026.

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