Sushovan Majhi
Publications
11 preprints
10 journal papers
7 conference proceedings
1 thesis
Preprints
A Closed-Form Adaptive-Landmark Kernel for Certified Point-Cloud and Graph Classification
submitted toFoundations of Computational Mathematics·2026
A Closed-Form Persistence-Landmark Pipeline for Certified Point-Cloud and Graph Classification
submitted toJournal of Machine Learning Research·2026
Detecting Regime Transitions in Dynamical Systems via the Mixup Euler Characteristic Profile
submitted toChaos: An Interdisciplinary Journal of Nonlinear Science·2026
Topological Characterization of Churn Flow and Unsupervised Correction to the Wu Flow-Regime Map in Small-Diameter Vertical Pipes
submitted toInternational Journal of Multiphase Flow (IJMF)·2026
Interpretable Classification of Time Series Using Euler Characteristic Surfaces
submitted toNature Scientific Reports·2026
The Shadow of Vietoris–Rips Complexes in Limits
submitted toJournal of Applied & Computational Topology·2026
Vietoris–Rips Shadow for Euclidean Graph Reconstruction
submitted toJournal of Applied & Computational Topology·2025
Detecting the Indian Monsoon Using Topological Data Analysis
Topology of The Polar Vortex and Montana Weather
Lower Bounding the Gromov–Hausdorff distance in Metric Graphs
submitted toDiscrete & Computational Geometry·2024
Topological Stability and Latschev-type Reconstruction Theorems for \pmb{\mathrm{CAT}(\kappa)} Spaces
submitted toDiscrete & Computational Geometry·2024
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Journals
Computational Geometry
Pattern Recognition
Approximating Gromov-Hausdorff Distance in Euclidean Space
Computational Geometry: Theory and Applications, 2022With: Jeffrey Vitter and Carola Wenk
Links: [publisher] [arxiv]
Statistical Finance
A Sentiment-Based Modeling and Analysis of Stock Price During the COVID-19: U- and Swoosh-Shaped Recovery
Physica A: Statistical Mechanics and Its Applications, 2021With: Anish Rai, AjitMahata, Md Nurujjaman, and Kanish Debnath
Links: [publisher] [arxiv]
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Proceedings of Conferences and Workshops
Applied Topology
Computational Topology
Lower Bounding the Gromov–Hausdorff distance in Metric Graphs
Symposium on Computational Geometry (SoCG), 2026With: Henry Adams, Fedor Manin, Žiga Viga, and Nicolò Zava
Links: [arxiv]
Graph Reconstruction
TDA
Embedded Graph Reconstruction under Hausdorff Noise
Fall Workshop on Computational Geometry, Tufts University, 2024With: Halley Fritze, Marissa Masden, Atish Mitra, and Michael Stickney
Links: [arxiv]
Applied Topology
Manifold Learning
Demystifying Latschev's Theorem: Manifold Reconstruction from Noisy Data
Symposium on Computational Geometry (SoCG), 2024Links: [publisher]
Computational Geometry
Metric and Path-Connectedness Properties of the Fréchet Distance for Paths and Graphs
Canadian Conference on Computational Geometry (CCCG), 2023With: Erin Chambers, Brittany Fasy, Benjamin Holmgren, and Carola Wenk
Links: [FILE]
Computational Geometry
Pattern Recognition
Graph Mover's Distance: An Efficiently Computable Distance Measure for Geometric Graphs
Canadian Conference on Computational Geometry (CCCG), 2023Links: [ResearchGate] [arxiv]
TDA
Threshold-based graph reconstruction using discrete Morse theory
Fall Workshop on Computational Geometry, New York, NY, November 2018, 2018With: Brittany Terese Fasy and Carola Wenk
Links: [arxiv]
TDA
Topological and Geometric Reconstruction of Metric Graphs in \mathbb{R}^n
Fall Workshop on Computational Geometry, New York, NY, October 2017, 2017With: Brittany Terese Fasy, Rafal Komendaczyk, and Carola Wenk
Links: [proceedings] [arxiv]
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PhD Thesis
TDA
Applied Topology
Pattern Matching
Computational Geometry
Topological Methods in Shape Reconstruction and Comparison
Mathematics Department, Tulane University, December 2020Link: Thesis
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