Sushovan Majhi
Publications
Ten preprints · eleven journal papers Seven conference proceedings · one thesis Updated MMXXVI

Twenty-nine items between the preprint server and the published record. Ten preprints are still in review; eleven papers have appeared (or are about to appear) in journals; seven in conference proceedings; one is the doctoral thesis. They divide, in retrospect, into two streams: theorems about when a finite sample remembers the shape it was drawn from, and applied collaborations that have carried those theorems into finance, climate, fluid mechanics, and biology.

The list below is mechanically sorted (most recent first within each section) and is the authoritative version. The right-hand margin offers a category filter. If anything is missing or out of date, it will be corrected by post: s.majhi@gwu.edu.

Preprints

Filed under Preprints Ten, MMXXII–MMXXVI

Submitted; not yet defended in print.

A Closed-Form Adaptive-Landmark Kernel for Certified Point-Cloud and Graph Classification
with Atish Mitra, Ziga Virk, Pramita Bagchi
submitted toJournal of Machine Learning Research·2026
arxiv
Machine LearningTopological Data Analysis
A Closed-Form Persistence-Landmark Pipeline for Certified Point-Cloud and Graph Classification
with Atish Mitra, Ziga Virk, Pramita Bagchi
submitted toTransactions on Machine Learning Research·2026
arxiv
Machine LearningTopological Data Analysis
Detecting Regime Transitions in Dynamical Systems via the Mixup Euler Characteristic Profile
with Atish Mitra, Santanu Nandi, Md Nurujjaman, Buddha Nath Sharma
submitted toChaos: An Interdisciplinary Journal of Nonlinear Science·2026
arxiv
Topological Data Analysis
Topological Characterization of Churn Flow and Unsupervised Correction to the Wu Flow-Regime Map in Small-Diameter Vertical Pipes
with Brady Koenig, Atish Mitra, Abigail Stein, Burt Todd
submitted toInternational Journal of Multiphase Flow (IJMF)·2026
arxiv
Topological Data AnalysisMachine LearningFluid Mechanics
Interpretable Classification of Time Series Using Euler Characteristic Surfaces
with Salam Rabindrajit Luwang, Vishal Mandal, Atish J. Mitra, Md. Nurujjaman, Buddha Nath Sharma
submitted toNature Scientific Reports·2026
arxiv
Topological Data AnalysisMachine Learning
The Shadow of Vietoris–Rips Complexes in Limits
with Kazuhiro Kawamura and Atish Mitra
submitted toFoundations of Computational Mathematics·2026
arxiv
Applied TopologyGeometric Topology
Detecting the Indian Monsoon Using Topological Data Analysis
with Enrique Alvarado, Daniela Beckelhymer, Joshua Dorrington, Tung Lam, Jasmine Noory, María Sánchez Muniz, and Kristian Strommen
arxiv
TDAClimate Science
Topology of The Polar Vortex and Montana Weather
with Joshua Dorrington, Atish Mitra, James Moukheiber, Demi Qin, Jacob Sriraman, and Kristian Strommen
arxiv
TDAClimate Science
Lower Bounding the Gromov–Hausdorff distance in Metric Graphs
with Henry Adams, Fedor Manin, Žiga Viga, and Nicolò Zava
submitted toDiscrete & Computational Geometry·2024
arxiv
Applied TopologyComputational Topology
Topological Stability and Latschev-type Reconstruction Theorems for \pmb{\mathrm{CAT}(\kappa)} Spaces
with Rafal Komendarczyk
submitted toDiscrete & Computational Geometry·2024
arxiv
Applied TopologyComputational TopologyTDAManifold Learning
No matching items

Refereed Journal Publications

Filed under Journals Eleven papers, MMXXII–MMXXVI

Eleven papers, many referees, fourteen years.

Vietoris–Rips Shadow for Euclidean Graph Reconstruction
with Rafal Komendarczyk and Atish Mitra
to appear in Journal of Applied & Computational Topology·2026
arxiv
Applied TopologyTDA
Causality Analysis of COVID-19 Induced Crashes in Stock and Commodity Markets: A Topological Perspective
with Buddha Nath Sharma, Anish Rai, SR Luwang, and Md. Nurujjaman
International Journal of Modern Physics C·2025
DOI·arxiv
Statistical FinanceTDA
Hausdorff vs Gromov–Hausdorff Distances
with Henry Adams, Florian Frick, and Nicholas McBride
Discrete & Computational Geometry·2025
arxiv·DOI
Applied TopologyComputational Topology
Identifying Extreme Events in the Stock Market: A Topological Data Analysis
with Anish Rai, Buddha Nath Sharma, Salam Rabindrajit Luwang, and Md.Nurujjaman
Chaos: An Interdisciplinary Journal of Nonlinear Science·2024
arxiv·DOI
TDA
Complex Network Analysis of Cryptocurrency Market During Crashes
with Kundan Mukhia, Anish Rai, SR Luwang, Md Nurujjaman, and Chittaranjan Hens
Physica A·2024
arxiv·DOI
Statistical Finance
Demystifying Latschev's Theorem: Manifold Reconstruction from Noisy Data
Discrete & Computational Geometry·2024
arvix·publisher
Applied TopologyManifold Learning
Distance Measures for Geometric Graphs
with Carola Wenk
Computational Geometry: Theory and Applications·2023
arxiv·publisher
Computational GeometryPattern Matching
Vietoris–Rips Complexes of Metric Spaces Near a Metric Graph
Journal of Applied and Computational Topology·2023
arxiv·publisher
Applied TopologyComputational TopologyTDA
Approximating Gromov-Hausdorff Distance in Euclidean Space
with Jeffrey Vitter and Carola Wenk
Computational Geometry: Theory and Applications·2022
publisher·arxiv
Computational GeometryPattern Recognition
On the Reconstruction of Geodesic Subspaces of \pmb{\mathbb R^n}
with Brittany Fasy, Rafal Komendaczyk, and Carola Wenk
International Journal of Computational Geometry and Applications·2022
publisher·arxiv
Computational GeometryApplied TopologyTDA
A Sentiment-Based Modeling and Analysis of Stock Price During the COVID-19: U- and Swoosh-Shaped Recovery
with Anish Rai, AjitMahata, Md Nurujjaman, and Kanish Debnath
Physica A: Statistical Mechanics and Its Applications·2021
publisher·arxiv
Statistical Finance
No matching items

Refereed Conference Proceedings & Workshops

Filed under Proceedings Seven, MMXXIII–MMXXVI

Where the discipline meets quickly.

Lower Bounding the Gromov–Hausdorff distance in Metric Graphs
with Henry Adams, Fedor Manin, Žiga Viga, and Nicolò Zava
Symposium on Computational Geometry (SoCG)·2026
arxiv
Applied TopologyComputational Topology
Embedded Graph Reconstruction under Hausdorff Noise
with Halley Fritze, Marissa Masden, Atish Mitra, and Michael Stickney
Fall Workshop on Computational Geometry, Tufts University·2024
arxiv
Graph ReconstructionTDA
Demystifying Latschev's Theorem: Manifold Reconstruction from Noisy Data
Symposium on Computational Geometry (SoCG)·2024
publisher
Applied TopologyManifold Learning
Metric and Path-Connectedness Properties of the Fréchet Distance for Paths and Graphs
with Erin Chambers, Brittany Fasy, Benjamin Holmgren, and Carola Wenk
Canadian Conference on Computational Geometry (CCCG)·2023
FILE
Computational Geometry
Graph Mover's Distance: An Efficiently Computable Distance Measure for Geometric Graphs
Canadian Conference on Computational Geometry (CCCG)·2023
ResearchGate·arxiv
Computational GeometryPattern Recognition
Threshold-based graph reconstruction using discrete Morse theory
with Brittany Terese Fasy and Carola Wenk
Fall Workshop on Computational Geometry, New York, NY, November 2018·2018
arxiv
TDA
Topological and Geometric Reconstruction of Metric Graphs in \mathbb{R}^n
with Brittany Terese Fasy, Rafal Komendaczyk, and Carola Wenk
Fall Workshop on Computational Geometry, New York, NY, October 2017·2017
proceedings·arxiv
TDA
No matching items

Doctoral Thesis

Filed under Thesis Tulane · MMXX

The first long argument.

Topological Methods in Shape Reconstruction and Comparison
Advised by Carola Wenk
Tulane University, Mathematics Department · 2020
Thesis
TDA Applied Topology Pattern Matching Computational Geometry
No matching items