Ph.D. Candidate · Airline Operations Optimization

JohnPaul
Adimonyemma

Operations research professional with 6+ years of experience in optimization, machine learning, and data analytics for airline operations. My aircraft maintenance optimization research, conducted in collaboration with a major U.S. airline, received the 2026 Bronze Anna Valicek Medal from AGIFORS (Airline Group of the International Federation of Operational Research Societies). Previously, as a Reliability Engineer at Air Peace Limited, I designed and implemented a Reliability Management System for predictive maintenance and fleet monitoring, an initiative credited with an estimated $37–39 million in annual cost savings and revenue capture, and prepared the reliability analyses supporting the airline's ETOPS authorization for international operations.

800+aircraft fleet used to validate models

up to 80%reduction in computation time

$37–39Mest. annual savings & revenue capture

6+ yrsoptimization, ML & analytics

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2026 · AGIFORS

Bronze Anna Valicek Medal

Mathematical OptimizationMixed-Integer ProgrammingAircraft Maintenance PlanningMachine LearningPythonGurobiCPLEXLarge-Scale DecompositionCapacity PlanningWorkforce SchedulingDemand ForecastingReliability EngineeringCausal InferenceBig Data AnalyticsSQLPower BIDecision-Making under UncertaintyAirline Operations

About Me

Building Smarter Systems
That Move the World

I grew up learning operations in my father's business and later started a small supply chain venture. That experience shaped my passion for efficient, sustainable transportation and logistics systems.

Today I am a Ph.D. candidate in Industrial Engineering at FAMU-FSU College of Engineering, advised by Professor Yanshuo Sun. I apply mathematical optimization, machine learning, and big data to airline operations: maintenance scheduling, capacity planning, workforce planning, and decision-making under uncertainty.

Outside research, I mentor aspiring graduate students through GUHTAC, write on my blog, compose music, and officiate football matches.

Recognition

Awards & Distinctions

All awards

AGIFORS · 2026

Bronze Anna Valicek Medal

One of only two finalists worldwide, honored for large-scale long-term aircraft maintenance scheduling and station assignment.

COMPASS Optimization Competition finalists

Industry Optimization Competition · 2026

2nd Place, COMPASS Optimization Competition

Team Captain, TS-Optimizers. 13 teams from 8 universities competed.

FAMU–FSU · April 2026

Departmental Winner, Danfoss Graduate Research Symposium

First place in Industrial & Manufacturing Engineering, and a college-wide finalist.

Experience

Where I've Made an Impact

Full experience on LinkedIn Details

Major U.S. Airline

Research Collaborator, Operations Research & Advanced Analytics · 2024–Present

Maintenance scheduling and capacity planning for an 800+ aircraft fleet, plus aircraft turnaround time analysis

Air Peace Limited

Reliability & Material Planning Engineer · 2019–2022

Designed a Reliability Management System and fleet dashboards; prepared reliability analyses for ETOPS authorization

FAMU–FSU College of Engineering

Graduate Research & Teaching Assistant · 2022–Present

Big Data Analytics mentor; supervised 4+ REU interns

Florida DOT

Research Collaborator · 2022–2023

Causal inference (PCMCI) on transportation performance measures

Featured Publication

Optimization Model for Large-Scale Long-Term Aircraft Maintenance Scheduling and Station Assignment

Transportation Research Part E: Logistics and Transportation Review, 2025 · with Yanshuo Sun

A joint model for maintenance scheduling and station assignment, validated on a U.S. airline fleet of 800+ aircraft. It cuts computation time by up to 80% while staying within 2% of the optimization benchmark, and won the AGIFORS Bronze Anna Valicek Medal.

Read the paper

24publications, talks & projects

10conference presentations

27+papers peer-reviewed for TRB

All publications

Research Focus

Core Research
Domains

Applying quantitative methods and emerging technologies to solve complex problems across transportation, logistics, and supply chain systems.

Airline Operations

Optimization of fleet reliability, maintenance planning and scheduling optimization, strategic capacity planning, and operations management for aviation systems.

Operations Research

Mathematical modeling and optimization techniques for complex systems and resource allocation.

Machine Learning & AI

Leveraging artificial intelligence and data-driven methods for predictive analytics and decision support.

Public Transportation

Planning, operations, and management improvements for public and urban transit systems.

Big Data Analytics

Harnessing large-scale datasets to uncover patterns and drive operational improvements.

Supply Chain & Logistics

Sustainable supply chain design, freight transportation, and end-to-end logistics optimization.

Toolkit

Skills & Expertise

The methods and tools behind my research and industry work in airline operations.

Operations Research & Optimization

Mixed-Integer Programming (MIP / MIQP) Large-Scale Optimization Decomposition Methods Heuristics Scheduling Capacity Planning Workforce Planning Decision-Making under Uncertainty

Data Science & Machine Learning

Predictive Modeling Demand Forecasting Causal Inference Statistical Modeling Big Data Analytics Reliability Analysis (MTBF / MTBUR)

Tools & Platforms

Python Gurobi CPLEX GAMS SQL MATLAB R Pandas · NumPy · scikit-learn TensorFlow · Keras Power BI Excel

Leadership & Service