Kalyan Khatry
PhD Student · Oklahoma State University

Kalyan Khatry

Industrial Engineering & Management

Currently joining OSU's IE&M department under Professor Akash Deep, focusing on meta-learning, optimization, machine learning, and data-driven decision making for real-world infrastructure.

When I'm not training models, I'm on a trail drawn to wide skies, dense forests, and the quiet that comes from moving through nature.

6+
Publications & Papers
3.79
Master's GPA
4.0
Bachelor's GPA

Research Interests

Building AI systems that are not just powerful but transparent, reliable, and fair.

Meta-Learning

Instead of training a single model from scratch to solve one specific task, meta-learning exposes the algorithm to a broad distribution of tasks.

XAI & Trustworthy AI

Developing interpretable ML models and explanation methods to make AI decisions transparent and auditable by humans.

Optimization

Designing algorithms and mathematical programs for complex decision problems from scheduling and routing to resource allocation under uncertainty.

AI for Infrastructure

Applying computer vision and deep learning to transportation networks, bridge inspection, health sector, and smart cities enabling real-time, reliable infrastructure monitoring.

Education

Ph.D. in Industrial Engineering & Management

Oklahoma State University · Starting Aug 2026

Advisor: Professor Akash Deep · Focus: Optimization, ML, Data-Driven Decision Making

M.S. in Data Science  GPA 3.79

University of New Haven · Dec 2025

Tagliatela College of Engineering · West Haven, CT

B.S. in Computer Science  GPA 4.0

University of Wolverhampton · June 2023

Wolverhampton, UK · FYP: Deep Learning for Breast Cancer Detection

"In every walk with nature, one receives far more than he seeks."
— John Muir

Publications

2026
Automated Concrete Bridge Deck Inspection Using Unmanned Aerial System–Collected Data: A Deep Learning Approach
Khatry, K., Elmi, S., & Samsami, R.
ASCE Open: Multidisciplinary Journal of Civil Engineering, 4(1)
Journal DOI ↗
2026
A Residual Vision Transformer-Based Framework for Infrastructure Crack Detection
Khatry, K., Elmi, S., Brooks, C.N., & Samsami, R.
Transportation Research Board (TRB) Annual Meeting 2026
Conference
2025
Engineering Education in the Era of Generative Artificial Intelligence: Current State and Future Directions
Khatry, K., & Samsami, R.
ASEE Northeast Section Conference, University of Bridgeport, CT · March 2025
Conference DOI ↗

Working Papers

2026
Comparative Evaluation of Generative Augmentation Techniques for Imbalanced Concrete Damage Segmentation: Classical Methods, GANs, and Diffusion Models
Khatry, K.
Zenodo Preprint
Preprint DOI ↗
2026
Implementing Big Data Analytics for Predicting City-Level Air Quality Index (AQI) and Examining the Impact of COVID-19
Khatry, K., & Adhikari, P.
ResearchGate Preprint
Preprint DOI ↗

Presentations & Service

2025
Automated Concrete Bridge Deck Inspection Using UAS-Collected Data: A Deep Learning Approach
TCoE Endowment Awards · Poster Presentation
Poster
2025
Paper Reviewer
IEEE International Conference on Emerging Trends in Engineering and Computing (ETECOM), 2025
Service

Honors & Awards

TCoE Endowed Graduate Research Fellowship

University of New Haven · June 2025

Dean's Scholarship

University of New Haven · Jan 2024

AAA Scholarship

University of Wolverhampton · 2021–2023

A detailed overview of experience, skills & education.

Download PDF

Research Experience

Graduate Research Assistant
Samsami's Lab · University of New Haven, CT
  • Improved crack detection accuracy by 4% across multiple benchmarks by developing a custom Residual Vision Transformer (RvT) model in PyTorch for UAV-captured bridge imagery.
  • Enhanced model interpretability by integrating LIME-based explainable AI methods to visualize prediction-relevant regions for infrastructure defect detection.
  • Reduced false negatives by performing EDA on 40,000+ high-resolution images using OpenCV, Pandas, and NumPy.
  • Contributed to 4 accepted papers: ASCE Journal, TRB 2026, CRC 2026, and 1 under submission.
Undergraduate Researcher
University of Wolverhampton (Herald College) · Kathmandu, Nepal
  • Developed and compared three CNN architectures (LeNet, ResNet50, VGG16) for breast cancer detection from histopathological images.
  • Implemented data augmentation to address class imbalance, improving model generalization and robustness.

Industry Experience

Analytics Engineer
Downtown Eveningx Soup Kitchen · New Haven, CT
  • Conducted exploratory data analysis to identify trends and provide actionable insights supporting organizational decision-making.
  • Designed and maintained data pipelines to collect, clean, and transform operational and donor data from multiplesources.
Graduate Assistant
Graduate Admissions · University of New Haven, CT
  • Developed Power BI dashboards with custom DAX measures and predictive analytics, reducing data interpretation time across departments.
  • Managed communication workflows with hundreds of prospective students regarding admissions and program details.
Data Analyst Intern
Downtown Evening Soup Kitchen · New Haven, CT
  • Automated data workflows using Python, Zapier, and Excel macros, integrating 4 business systems and reducing reporting time.
  • Implemented data validation protocols with Cognito Forms and MSSQL, improving accuracy across 30,000+ monthly records.
Associate Data Engineer
Krispcall Pte. Ltd · Singapore
  • Developed and optimized ETL pipelines, increasing data processing speeds for faster BI decisions.
  • Analyzed user behavior using Mixpanel and Python scripts, identifying 20+ fraud instances and enhancing platform security.

Selected Projects

FinRAG: Retrieval-Augmented Generation for Financial Analysis
  • Multi-source RAG system combining 289,642 documents from Reddit, historical stock data, and financial literature.
  • Benchmarked Mistral-7B, Phi-3-Mini, and Llama-3.1-8B on domain-specific financial query generation.
Data Engineering Pipeline with AWS & Apache Spark
  • Scalable ETL pipeline using AWS Lambda and Apache Spark for distributed analysis of large-scale YouTube dataset.

Let's Build Something Together

I'm open to research collaborations, academic discussions, and connecting with fellow scholars. Whether you're working on AI systems, infrastructure problems, or just want to chat about optimization — I'd love to hear from you.

kalyankhatry@outlook.com
Stillwater, Oklahoma — from Aug 2026
Ph.D. Researcher · OSU IE&M

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