Flight Timetabling under Context-dependent Choice Model |
Keji Wei |
Tongji University |
I am an Assistant Professor in Operations at the School of Economics and Management, Tongji University. |
Optimizing Cost and Enhancing Consistency in GenAI Chatbots with Semantic Caching |
Mourad Boudia |
Amadeus |
Mourad Boudia is the head of AI & emerging technologies within the Amadeus
Research division. His research focuses on AI, operations research and new technologies applications for the travel industry. Mourad holds a Master’s degree in Industrial Engineering and a Ph.D in operations research and applied mathematics. |
Enhancing airport mobility through machine learning solutions |
Rim Jabri |
Groupe ADP |
Senior Data scientist specialising in the aviation sector, with a focus on optimizing airport operations through data-driven solutions. Expertise leveraging machine learning, statistical modelling, and big data tools to improve operational efficiency and support decision-making processes. Passionate about using analytics to address complex challenges.
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Transforming Measurement with LATAM’s Advanced Experimentation Platform |
Felipe Bahamonde |
LATAM Airlines |
Experimentation Lead at LATAM Airlines |
Transforming Measurement with LATAM’s Advanced Experimentation Platform |
Joël Gastelaars |
ACmetric |
Data Science Manager at ACmetric |
Transforming Measurement with LATAM’s Advanced Experimentation Platform |
Sebastian Orellana |
LATAM Airlines |
Staff applied scientist at LATAM Airlines |
Reinforcement Learning for Advance Seat Reservation Pricing: Insights from Real-World Deployment |
David Lopez |
FLYR |
David is VP of Data Science at FLYR, leading efforts across hospitality and airline products. He spent the last 6 years building data science teams and algorithms for FLYR products. Previously, he worked on financial models and computer vision. He holds degrees in Computer Science and Physics from MIT and completed his PhD in Experimental Particle Physics at Caltech. |
Exploring the Endogeneity of Seats and Fares in Airport Origin-Destination Demand Forecasting: Insights from a Large Airline Network |
Ahmed Abdelghany |
Embry-Riddle Aeronautical University |
Dr. Ahmed Abdelghany, Professor and Associate Dean at O’Maley College of Business, Embry-Riddle Aeronautical University, specializes in transportation systems, particularly aviation. With a Ph.D. from UT Austin, he authored key books on airline management, publishes widely in top journals, and consults on commercial airlines and airports. He is also a frequent media commentator on aviation issues. |
Enhancing Flight Cancellation Decisions with AI-Powered Passenger Rebooking Estimates |
Claudia Bongiovanni |
SWISS Intl. Air Lines |
Claudia is a senior operations research engineer at SWISS, working on the OPSD project in the LH group. She was a Postdoc researcher at GERAD/CIRRELT in Montréal and earned her PhD from EPFL in 2020, her Msc at UC Berkeley, and Bsc in Rome. |
Enhancing Flight Cancellation Decisions with AI-Powered Passenger Rebooking Estimates |
Georgia Lazaridou |
SWISS Intl. Air Lines |
Georgia is an intern at SWISS, pursuing an MSc in Computer Science at the University of Zurich, and holds a BSc in mathematics from the University of Cyprus. |
Integrating Macroeconomic Forecasts into Airline Demand and Cost Estimation |
Soheil Sibdari |
University of Massachusetts Dartmouth |
Soheil Sibdari is a Professor of Operations Management at University of Massachusetts Dartmouth. His teaching and research interests are within the area of revenue management, dynamic pricing, operations management, microeconomics. He has received his B.S. in Computer Science, M.S. in Economics, and PhD. In Industrial Engineering. |
AI-driven pricing with RSP: Evidence from a large-scale online field experiment |
Darius Walczak |
PROS Inc. |
Darius Walczak is a Principal Research Scientist and a Senior Director at PROS Inc. in Houston, Texas. Darius and his team conduct research in the areas of stochastic optimization, data analysis, and forecasting to innovate and improve solutions in the core science platform with focus on the travel industry. |
Classless Revenue Management |
Sergey Shebalov |
Sabre |
Sergey Shebalov is a VP of Data Science and Head of Research at Sabre. He leads the Sabre Labs team responsible for development and implementation of complex AI systems. Sergey holds PhD in mathematics from University of Illinois and has two decades of experience in the travel industry IT. His area of expertise is intelligent retailing, resource optimization and adoption of AI in practice. |
Predicting a Schedule's OTP and How that Impacts Schedule Build |
Pascale Batchoun |
Air Canada |
Pascale Batchoun is Director, Schedule Integrity at Air Canada. |
Unlocking Revenue Potential: The Impact of Modern RMS on Airlines |
Balaji Davangave |
Air India |
Balaji is an Associate Manager in Revenue Management department at Air India, with a master’s in Management from IIT Madras. He has three years of industrial experience, including work as a data scientist for a prominent retail chain. Balaji has expertise in aviation revenue management, business analytics and published a paper at the 28th Americas Conference on Information Systems in 2022. |
Efficient Warm Start Strategies for the Aircraft Routing Problem |
Samhita Vadrevu |
United Airlines |
Samhita Vadrevu is a Senior Data Scientist at United Airlines, working on complex network planning problems. She completed her PhD in Industrial Engineering from University of Illinois, Urbana Champaign, where she worked on developing GPU-accelerated algorithms for NP-hard integer programs. She also has a Masters in Mathematics and Bachelors in Computer Science from BITS Hyderabad, India. |
Unlocking revenue with customer search behaviour modelling |
Himanshu Jindal |
Air India |
Himanshu is a seasoned professional currently serving as Specialist in the Transformation Team of Air India’s Revenue Management.
With over 6 years of experience in Ops & strategy and eCommerce. He has published white papers in the healthcare sector and digital transformation.
He holds an MBA in Strategy & Ops from IIM Calcutta and a specialization in Growth & Transformation Leadership from INSEAD. |
Applications of Customer Lifetime Value (CLV) In Tactical Decision-making |
Dhruv Shah |
Quantumblack, AI by McKinsey |
Dhruv Shah is an Expert Associate Partner at Quantumblack, AI by McKinsey working in the Travel, Logistics, and Infrastructure Sector. At McKinsey, Dhruv has led delivery of multiple Simulation, Forecasting, Optimization, and GenAI capabilities for Aviation and Logistics clients. Dhruv holds a bachelors in engineering in Operations Research and Financial Engineering from Princeton University.
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AI enabled innovations in workforce excellence |
Dhruv Shah |
Quantumblack, AI by McKinsey |
Dhruv Shah is an Expert Associate Partner at Quantumblack, AI by McKinsey working in the Travel, Logistics, and Infrastructure Sector. At McKinsey, Dhruv has led delivery of multiple Simulation, Forecasting, Optimization, and GenAI capabilities for Aviation and Logistics clients. Dhruv holds a bachelors in engineering in Operations Research and Financial Engineering from Princeton University.
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Digging into On Time Performance with Generative AI |
Kevin Hightower |
Cirium |
Kevin has been advancing technology in the aviation industry for over 20 years, having joined Cirium in 2022 as the VP of Product. Previously, Kevin worked for over 15 years as CTO at Lockheed Martin. He also has over 4 years of experience at Google’s drone delivery company, Wing. |
A New Era of ML-based Aircraft Performance Modeling |
Shinji Tanaka |
NABLA Mobility Inc. |
Before founding NABLA Mobility, Shinji worked as a Project Leader in BCG
for 7 years, supporting corporate strategy development, M&A, and operational transformation of various global companies. He also worked as an aircraft engine engineer in IHI for 3 years. Shinji holds MSc in Aeronautics and Astronautics from both MIT and the University of Tokyo respectively.
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Reserve crew optimization under uncertainty |
Dhruv Shah |
Quantumblack, AI by McKinsey |
Dhruv Shah is an Expert Associate Partner at Quantumblack, AI by McKinsey working in the Travel, Logistics, and Infrastructure Sector. At McKinsey, Dhruv has led delivery of multiple Simulation, Forecasting, Optimization, and GenAI capabilities for Aviation and Logistics clients. Dhruv holds a bachelors in engineering in Operations Research and Financial Engineering from Princeton University.
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Elevating cities: The rise of regional and urban air mobility |
Laurie Garrow |
Georgia Tech |
Laurie Garrow is a Professor in the Schools of Civil and Aerospace Engineering and serves as Director of the Air Transportation Lab at Georgia Tech (ATL@GT) and Co-Director for the Center for Urban and Regional Air Mobility (CURAM) at Georgia Tech. She is also Past President of AGIFORS. She is the first woman and the first academic to serve as President in AGIFORS’ 60-year history. Laurie and her husband, Michael, live in Atlanta with three rescue cats, PeaPod, Smuckers, and Shadow.
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