# Ayush Patnaik - Ph.D. Candidate, Mechanical Engineering
Source: https://hello.cv/ayushpatnaik
Davis

## Links
- LinkedIn | www.linkedin.com/in/ayupat5
- GitHub | https://ayushp5.github.io

## About
Ph.D. candidate in Mechanical Engineering, specializing in advanced battery management systems (BMS), control, and robotics. Proven expertise in developing and validating real-time state estimation and prognostics algorithms for Li-ion systems, leveraging Extended Kalman Filters and machine learning. Successfully applied model-based design and data-driven techniques to enhance battery health monitoring, fault detection, and energy-optimal control for complex autonomous systems.

## Work
### Graduate Researcher | Energy Systems Automation, Optimization and Integration Lab (eSAIL), UC Davis
Led advanced research in battery state estimation, diagnostics, and energy-optimal control for UAVs, contributing to real-time system performance and efficiency.
- Developed a Dual Extended Kalman Filter (EKF) framework for real-time SoC/SoH estimation, enabling online model adaptation for a satellite-based battery digital twin.
- Architected and deployed a robust onboard estimation system for a 3-cell coin cell payload, effectively managing telemetry dropouts and thermal variations in resource-constrained embedded environments.
- Applied MILP-based waypoint optimization for energy-minimal multi-rotor missions, achieving 3.9-9.4% energy savings over distance-minimizing approaches, validated through flight experiments.
- Conducted comprehensive Li-ion coin cell test matrices spanning C-rates (0.2C-1C) and temperatures (0–40°C), developing automated MATLAB/Python pipelines for data processing and health trending.
### Teaching Assistant, Mechanical and Aerospace Engineering | UC Davis
Facilitated learning and assessed student performance for core mechanical and aerospace engineering courses.
- Assisted in instruction for EME 108 (Measurement Systems), EME 109 (Experimental Methods for Thermal Fluids), and EME 50 (Manufacturing Processes), supporting over 100 students per quarter.
- Developed and delivered supplementary instructional materials, clarifying complex concepts and improving student comprehension.
- Evaluated assignments and provided constructive feedback, contributing to student learning outcomes and academic success.
### Undergraduate Research Assistant | Cyber-Human-Physical Systems Lab, UC Davis
Contributed to robotic systems development for precision agriculture, focusing on hardware integration, control, and data analysis.
- Built "BugBot" automated system for optimized dispensing of predatory mites over strawberry fields with UAV swarms, programming Arduino, RaspberryPi, and PX4 microcontrollers.
- Collected and analyzed large experimental datasets, providing critical insights for system optimization and project advancement.
- Presented findings and weekly progress reports, facilitating informed decision-making and project milestone achievement.
### Mechanical & Process Engineering Intern | NeuroLeap Corp.
Supported engineering design, prototyping, and process optimization for production systems in a medical device context.
- Supported prototype build and validation using SolidWorks and Autodesk Fusion, ensuring design integrity and functionality for new products.
- Wrote and debugged PLC ladder logic for production systems, developing systematic troubleshooting approaches that improved operational efficiency and reduced system downtime.
- Collaborated with engineering teams to refine manufacturing processes, contributing to streamlined workflows and enhanced product quality.
### Tutor, Academic Assistance and Tutoring Services | UC Davis
Provided academic support in core engineering subjects, developing educational materials to enhance student comprehension.
- Tutored undergraduate students in Dynamics, Fluid Mechanics, and Statics, improving their grasp of fundamental engineering principles and problem-solving abilities.
- Developed quizzes and supplementary teaching materials, directly contributing to enhanced student comprehension and academic performance.
- Provided individualized academic support, addressing specific learning challenges and fostering a deeper understanding of complex subjects.
### Member | Space and Satellite Systems Club, UC Davis
Collaborated on satellite attitude determination and control systems development, applying MATLAB/Python for simulation and analysis.
- Implemented TRIAD method for satellite attitude determination in MATLAB and Python, enhancing system accuracy for orbital mechanics simulations.
- Developed an attitude determination and control systems simulator for a cubesat using Simulink, facilitating design validation and performance testing.
- Contributed to critical design reviews and technical discussions, ensuring robust system architectures for satellite projects.

## Education
### University of California, Davis | Mechanical Engineering
3.8/4.0
- Advanced Controls
- State Estimation & Kalman Filtering
- Machine Learning
- Optimization
- Battery Systems
- Dynamic Systems Modeling
### University of California, Davis | Mechanical Engineering
3.64/4.0

## Awards
### Graduate Student Fellowship Award
UC Davis | 2022-09-01
Recognized for outstanding academic potential and research contributions.
### Omar George Mahshi Memorial Scholarship
UC Davis | 2021-09-01
Awarded for academic excellence and commitment to the field.
### Dean's Honor List
UC Davis College of Engineering | 2020-01-01
Achieved top 16% academic standing in the College of Engineering.

## Publications
### Machine Learning Detection of Lithium Plating in Lithium-ion Cells: A Gaussian Process Approach
American Control Conference (ACC)
Research on applying Gaussian Process regression for machine learning-based detection of lithium plating in Li-ion cells.
### Enhancing Multirotor Drone Efficiency: Exploring Minimum Energy Consumption of Forward Flight under Varying Payload
AIAA SciTech Forum
Investigating methods to optimize multirotor drone efficiency by minimizing energy consumption during forward flight with varying payloads.
### Optimization of Three-Dimensional Waypoint Ordering for Energy-Optimal Multirotor Operation
Aerospace Science and Technology
Focuses on optimizing 3D waypoint ordering to achieve energy-optimal operation for multirotor systems.
### Energy-Optimal Planning of Waypoint-Based UAV Missions – Does Minimum Distance Mean Minimum Energy?
IEEE/RSJ IROS
Explores energy-optimal planning for UAV missions, challenging the assumption that minimum distance equals minimum energy.
### Data-driven Vermiculite Distribution Modelling for UAV-based Precision Pest Management
Frontiers in Robotics and AI
Developed data-driven models for vermiculite distribution using UAVs for precision pest management applications.

## Languages
- English

## Skills
### Battery Algorithms & BMS
Proficient
- SoC/SoH/SoP estimation
- Extended Kalman Filter (EKF) design
- Capacity fade modeling
- Lithium plating detection
- Incremental capacity analysis (ICA/DVA)
- Electrochemical modeling (ECM)
- Equivalent circuit models
### Modeling & Simulation
Proficient
- MATLAB/Simulink
- Model-based software design
- MiL/SiL validation
- Parameter identification
- System-level energy dynamics modeling
### Data Analysis & ML
Proficient
- Python (NumPy, SciPy, scikit-learn)
- Gaussian Process regression
- Uncertainty quantification
- Time-series analysis
- Feature extraction from cycling data
### Testing & Validation
Proficient
- Li-ion cell characterization
- Arbin battery cyclers
- Test protocol design
- HPPC
- RPT
- Fast-charge degradation studies
- Temperature-dependent testing
### Programming
Proficient
- MATLAB
- Python
- C++

## Source
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