Curriculum Vitae
Expert in reliability assessment, machine learning, infrastructure analytics, and software development with a proven track record of dissecting real-world datasets, crafting innovative solutions, and collaborating with interdisciplinary teams.
Education
Rice University, Houston, TX
- Research: Developed computational methods for infrastructure reliability and resilience assessment
- Leveraged network science, dynamic programming, machine learning, deep learning, and Monte Carlo methods to improve risk assessment accuracy and efficiency
- Created dynamic programming algorithms that reduced analysis time by over 3 orders of magnitude
Indian Institute of Technology, Bombay
Leadership Experience
- President, GradGames | Board and video games club (2020-2021)
- Director of Programming, Indian Students At Rice | Cultural club (2019-2020)
- Vice President, Earthquake Engineering Research Institute, Rice U. chapter | Professional society (2018-2019)
- President, Avanti Fellows, IIT Bombay chapter | Non-profit for equitable access to education (2012-2013)
Technical Skills
Coding
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Python
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SQL
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MATLAB
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Bash
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Git
Machine Learning
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Scikit-learn
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Keras & TensorFlow
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Pandas
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Computer Vision
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XGBoost
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CatBoost
Data Visualization
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Matplotlib
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Seaborn
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Tableau
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Plotly
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D3.js
Cloud Computing
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Microsoft Azure
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Amazon Web Services (AWS)
Certifications
- Microsoft Certified Azure Data Scientist Associate
- Google Data Analytics Professional Certificate
- Coursera Specializations: Deep Learning, Applied Software Engineering Fundamentals, Machine Learning Engineering for Production (MLOps)
- Coursera Courses: Electric Industry Operations and Markets, Oil & Gas Industry Operations and Markets
Professional Experience
Rice University, Houston, TX
- Lead research projects to develop computational methods for infrastructure reliability assessment
- Developed dynamic programming algorithms for radial infrastructure reliability assessment
Rice University, Houston, TX
- Created synthetic electric grid models for risk, reliability, and resilience assessment
- Developed dynamic programming techniques for infrastructure reliability analysis
- Published research in several high impact journals with 150+ citations to date
Rice University, Houston, TX
- Courses: Risk-based Decision-making Under Uncertainty and Time-dependent System Reliability Methods
- Led tutorials & designed assignments on risk quantification, probabilistic decision-making, and system reliability
- Enhanced student engagement by integrating board games into coursework, including the use of Power Grid for network reliability assignments and Ticket to Ride for risk-based decision-making under uncertainty
IIT Bombay, Mumbai, India
- Contributed to structural steel design software (Osdag) for Indian design standards
- Established best practices for version control, unit testing, coding standards, and documentation
- Implemented features using PyQt5, PythonOCC, and sqlite3
- Created cross-platform installation software for Linux and Windows using conda, bash, and NSIS
- Supported outreach activities by creating tutorials and conducting workshops for academia and industry
Walter P Moore
- Engineered structural elements in the New Orleans International Airport – North Terminal Expansion
- Created software tools for the analysis and optimal design of atypical components in the project
- Analyzed wind tunnel test results and performed wind drift analysis of airport concourses
- Developed Microsoft Excel spreadsheets for analysis and design using Visual Basic for Applications
Research Projects
- Engineered a dynamic programming approach to assess the reliability of radial infrastructure systems
- Demonstrated the method's efficacy using real-world and synthetic infrastructure system models
- Achieved a computational time reduction by about 1000x compared to Monte Carlo methods
- Examined inequity in electric power outages at the block group level in a major US county
- Utilized webscraping to gather data, and investigated disparities in outage metrics against economic and socio-demographic factors through correlation analysis, Gini coefficient, and equity gap analysis
- Employed SQLite, pandas, sklearn, GitHub Actions, and geopandas for continous webscraping and analysis
- Identified a significant correlation where higher income level blocks were associated with low outage metrics
- Created parametric power transmission network models using network analysis and equivalencing techniques
- Detected utility poles from street view imagery using a Mask-RCNN model, achieving a precision of 0.77, surpassing the state-of-the-art RetinaNet-101's precision of 0.73
- Applied Prim's algorithm to establish connectivity between utility poles forming minimum spanning trees
- Deployed models for assessing power availability in Lumberton, North Carolina and Galveston Island, Texas
- Developed a Convolutional Neural Network model for sensor fault detection and classification, and specialized Convolutional Autoencoder models for reconstructing faulty sensor data across various fault types
- Utilized TensorFlow, Google Colab, and Talos for model training and automated hyperparameter optimization
- Achieved state-of-the-art accuracy of 98.7% in detection, 100% in localization, and 99% in reconstruction
- Published research in Mechanical Systems and Signal Processing journal with 150+ citations to date
- Developed closed-form expressions for reliability and risk of wind turbine systems with multi-state components
- Reduced computational cost by about 1000x in comparison to principled Monte Carlo methods by casting the closed-form expressions in a recursive formulation
- Processed and analyzed text from successful NSF grant proposals to uncover emerging research trends
- Leveraged natural language processing, Latent Dirichlet Allocation, and topic modeling to identify key themes
- Findings were used to direct literature reviews and future grant applications in research group
- Applied image processing & deep learning to identify & segment individual nuclei in diverse biomedical images
- Created novel features to train deep learning models utilizing image processing strategies such as pixel intensity thresholding, gradient-based edge detection algorithms, and watershed segmentation
- Assembled an ensemble of U-Net models that performed well even for edge cases
- Developed a novel stratified sampling method to estimate two-terminal reliability in power networks
- Achieved dimensionality reduction by ranking edges according to variable predictor importance
- Employed AdaBoost with decision trees to identify key edges based on their impact on network reliability
- Significantly reduced the number of simulations required for convergence, outperforming traditional methods such as naïve stratified sampling, antithetic variates, and Latin hypercube sampling
Publications
- Patil, J. & Dueñas-Osorio, L. (In Preparation). "Recursive technique for efficient computation of functional reliability of radial infrastructure systems."
- Patil, J., Lin, C.Y., Cha, E.J., & Dueñas-Osorio, L. (Under Review). "Integrating Synthetic Power Flow and Computer Vision Models for Assessing Building-Level Outages."
- Herkal, S., Patil, J., & Dueñas-Osorio, L. (Under Review). Closed-form reliability and risk assessment for the upkeep of multi-component and multi-state wind turbine systems.
- Nofal, O., Rosenheim, N., Kameshwar, S., Patil, J., Zhou, X., van de Lindt, J. W., ... & Wang, C. (2025). "Methodology for Interdependent Population–Building–Infrastructure Posthazard Functionality Assessment for Communities." Journal of Structural Engineering, 151(5), 04025048.
- Nofal, O., Rosenheim, N., Kameshwar, S., Patil, J., Zhou, X., van de Lindt, J. W., ... & Jeon, H. (2024). "Community‐level post‐hazard functionality methodology for buildings exposed to floods." Computer-Aided Civil and Infrastructure Engineering.
- Nofal, O., Rosenheim, N., Patil, J., Zhou, X., Kameshwar, S., van de Lindt, J. W., & Duenas-Osorio, L. (2023). "Community-level approach for a socio-physical flood post-hazard functionality assessment." In ASCE Inspire 2023 (pp. 339-348).
- Jana, D., Patil, J., Herkal, S., Nagarajaiah, S., & Duenas-Osorio, L. (2022). "CNN and Convolutional Autoencoder (CAE) based real-time sensor fault detection, localization, and correction." Mechanical Systems and Signal Processing, 169, 108723.
- Nofal, O., Rosenheim, N., Patil, J., Zhou, X., van de Lindt, J. W., Duenas-Osorio, L., & Cha, E. J. (2022). "Interdependent Households-Buildings-Networks Community-Level Post-Hazard Functionality Assessment Methodology." Proceedings of the 8th International Symposium on Reliability Engineering and Risk Management (ISRERM 2022), Hanover, Germany.
- Birchfield, A. B., Patil, J., Paredes, R., & Dueñas-Osorio, L. (2021, April). "Preliminary Analysis of Network Fragility and Resilience in Large Electric Grids." In 2021 IEEE Power and Energy Conference at Illinois (PECI) (pp. 1-6). IEEE.