Research
Academic and applied research in airline revenue management, demand forecasting, and pricing optimization systems.
Dissertation
Develops a conditional demand forecasting framework that accounts for both market competition and internal revenue management policy constraints — a critical gap in classical unconstraining methods used in production RM systems.
Master's Thesis
Examines how unbundled ancillary offerings alter competitive equilibria in airline markets, with implications for demand estimation and revenue optimization strategy.
Selected research topics
- Conditional demand forecasting for airline revenue management
- Continuous pricing architectures and evaluation
- Competitive airline pricing behavior and market response modeling
- Ancillary revenue optimization under competitive pressure
- Market-aware and policy-aware forecasting systems
- Revenue optimization under distribution constraints
- Forecasting under censored demand (unconstraining)
- Pricing experimentation design in live systems
Additional publications and conference papers available upon request.
Conferences & industry involvement
Active participant in airline revenue management research and industry collaboration communities, including AGIFORS (Airline Group of the International Federation of Operational Research Societies).
- AGIFORS presentations and working groups
- Airline RM research collaboration
- Industry forecasting and pricing workshops
- Revenue optimization forums with major global carriers
PODS Conference Presentations
51 presentations at the Passenger Origin-Destination Simulator (PODS) Research Consortium meetings, 2017–2023. PODS is a joint industry-academic research group studying airline revenue management, pricing, and distribution simulation.
2017 · 1 presentation
- Forecasts vs. Bookings for Standard and Hybrid Forecasters
2018 · 7 presentations
- Simulation and Analysis of Economic Trends in PODS
- Sensitivity Tests on the "Fix" in Overbooking Models
- Performance of UDP-CXL: DP-based Overbooking Model
- Impacts of Demand Variability and Detruncator Alternatives in PODS
- Economic Trends Under Different Forecasters in PODS
- Sensitivity Tests of Passengers' Disutilities on Ancillary Choices
- Exploration of Segmented Ancillary Pricing
2019 · 10 presentations
- Update: Influences of Passenger Ancillary Choices on RM Actions
- Sensitivity Tests of Ancillary Price and Disutility
- Segmented Ancillary Pricing Scheme with HFFA and Different RM Optimizers
- Asymmetrical Segmented Ancillary Pricing In Competitive Environments
- Impacts of Imperfect Revenue Inputs to Traditional vs. Continuous Pricing
- Asymmetric Use of Continuous Pricing in Larger Network U10
- Update — Impacts on Traditional and Class-Based Continuous RM of Frequently Changing Fares
- Asymmetric Ancillary Price Segmentation with Mixed/Sequential Passenger Behaviors
- Using FRAT5 Curves as WTP Estimations for DOG
- Ancillary Offer Optimization with the Markov Chain Choice Model
2020 · 12 presentations
- Update: Interactions between Fare Class RM and Optimizer Fare Disturbance
- Impacts of Ancillary Relevance on Static Ancillary Offerings
- Review of FRAT5 Estimators in PODS
- Use of FRAT5 Estimators in D6NEW — Preliminary Results
- Introduction to D6NEWF: D6NEW with Fleet Assignment
- Existing WTP Estimation Methods: Concepts and Actual Implementation in PODS
- In-depth Analysis of Estimator Results in D6NEWF
- Limitations of the Current Estimation Methods and Next Steps
- Tests of Suggested Methods for Improving PODS Estimators
- Estimators in Competitive Markets: Dynamic vs. Static Estimates
- Competitive Impacts of Asymmetric Static Estimation
- WTP Estimators in PODS — Next Steps
2021 · 10 presentations
- Moving to D11NEWF: Sell-up Estimation with Additional Fare Classes
- First Tests of Sell-up Estimates and Estimators in Network U10
- Sell-up Estimates and Demand Forecasts in Unrestricted Fare Structures
- Estimating Total Market Demand from Bookings and Market Shares
- Limitations of Q-Forecasting in Unrestricted Fare Structures
- Policy Statistics and Predictions for Conditional Demand Forecaster
- Conditional Forecaster Progress and Next Steps
- Sell-up Rates in Undifferentiated Fare Structures: Theories and Frameworks
- True and Observed Sell-up Rates in Network A2TWO
- Benefits of Using Maximum WTP Estimates and Next Steps for C-FCAST
2022 · 10 presentations
- Conditional Forecasting — The Path Forward Explained
- Predicting Own Airline Future Policies with Asymmetric Competitor RM
- Predicting Competitor's Policies Using Historical Policy and Booking Data
- Update: Unfavored Airline Disutility in PODS and Impact on Policy Prediction
- Using Fewer Samples in Predicting Policies
- Generating Conditional Forecasts with PODS Booking and Policies
- Review and Updates on the Market Policy Conditional Forecaster
- Simulation of MPCF Performance: Preliminary Tests versus Competitor with LF Threshold RM
- Simulations of MPCF Against a Competitor Using QFFA
- Incorporating Competitors' Current Policies into MPCF
2023 · 1 presentation
- Market-based and Policy-Based Conditional Forecaster (MPCF) for Airline Revenue Management