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SunilgarGusai/README.md

Dr. Sunilgar L. Gusai — Mathematics, Graph Theory and Scientific Computing

Website · Curriculum vitae · ORCID · Scopus · LinkedIn

Assistant Professor of Mathematics · Program Head, Data Science Programs · Ph.D. · Graph Theorist · Computational Researcher

About me

I am a mathematician and an Assistant Professor at Marwadi University, Rajkot. My research began in spectral graph theory, particularly graph energy, eccentricity-based invariants and structural questions about graphs. I continue to work on these mathematical problems while exploring their connections with complex networks, molecular structures and data-driven scientific models.

I enjoy research that brings together a precise mathematical question and a careful computational investigation. In my collaborative work, I value clear proofs, reproducible experiments and an equally clear account of what the evidence does—and does not—establish.

Research interests

  • Graph theory and spectral methods. I study graph energy, eccentricity-related matrices and invariants, extremal problems, and structural and algorithmic questions.
  • Networks and resilience. I investigate how network structure relates to vulnerability, edge failure and decisions in infrastructure systems.
  • Molecular and biomolecular graphs. My work includes molecular graph descriptors, structure–property modelling and residue-network geometry.
  • Scientific machine learning. I am interested in how uncertainty, representation limits and the quality of evidence affect the reliability of computational conclusions.

Research projects

My publicly available research materials span four related areas: graph theory, network systems, molecular and biomolecular graphs, and scientific machine learning. These repositories include mathematical results, computational experiments and reproducibility materials.

Featured mathematical research

Operation-Marked Eccentricity-Weighted Route Spectra — directed graphs and weighted route spectra

I study how operation-labelled directed architectures can have indistinguishable ordinary route spectra while differing under eccentricity-weighted route operators. The research repository contains exact mathematical constructions and verification materials.

Selected research programmes

Mutation Geodesic Shielding for Protein Stability
Residue-network geometry around mutations
Assam Road Inspection Benchmark
Flood-road inspection and transfer evaluation
Claim–Evidence Consistency in Labeled Graphs
Graph-theoretic consistency and verification
Global MSW Reliability Under Geographic Shift
Geographic transfer and predictive reliability
VELE Power-Grid Vulnerability Screening
Graph spectra and electrical vulnerability
EGFR Graph QSAR
Representation limits of molecular descriptors
Applicability-Gated Molecular AI
Scientific rules and applicability under shift
Calibration Transfer of Conformal Prediction
Uncertainty calibration across composition regimes

Publications

For additional publication details, please see my academic CV.

Teaching and academic responsibilities

At Marwadi University, I also serve as Program Head, Data Science Programs and Area Chair — Advanced Computing. These responsibilities complement my work in teaching, mentoring and research.

My teaching includes Linear Algebra, Calculus, Discrete Mathematics, Probability, Statistics, Operations Research and Applied Mathematics. I am particularly interested in helping students connect mathematical foundations with real computational problems.

Collaboration

I welcome academic collaborations in graph theory, network science, mathematical chemistry, scientific computing and related areas where complementary expertise can lead to meaningful results.

Contact: dr.sunilgargusai@gmail.com · Marwadi University profile

Popular repositories Loading

  1. Claim-Evidence-Consistency-Reproducibility Claim-Evidence-Consistency-Reproducibility Public

    Reproducibility companion for claim–evidence consistency in labeled graphs: complexity, certificates, correction, graph algorithms, and deterministic validation.

    Python 2

  2. sunilgar-portfolio sunilgar-portfolio Public

    Academic research portfolio of Dr. Sunilgar L. Gusai spanning graph theory, network resilience, molecular and biomolecular graphs, reliable scientific AI, and reproducible computational research.

    HTML 1

  3. PAPER-JCMM-reproducibility PAPER-JCMM-reproducibility Public

    Reproducibility materials for calibration transfer of conformal prediction for concrete strength across SCM composition regimes.

    Python 1

  4. VELE-PowerGrid-Reproducibility VELE-PowerGrid-Reproducibility Public

    Reproducible VELE power-grid vulnerability screening with MATPOWER/DC-flow validation, islanding, load-shedding proxies, branch N−1 analysis, and corrected reinforcement heuristics.

    Python 1

  5. SunilgarGusai SunilgarGusai Public

    Academic research profile of Dr. Sunilgar L. Gusai — graph theory, network resilience, molecular and biomolecular graphs, and reliable scientific AI.

    1

  6. applicability-gated-molecular-ai applicability-gated-molecular-ai Public

    Reproducible code and results for applicability-gated rule-residual learning under chemical-space shift.

    Python 1