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Online event

Due to the currently ongoing COVID-19 pandemic the AGIFORS Council has made the choice to do all study group meetings in an online format, just as was the case for the Airline Operations SG meeting & Annual Symposium in 2020 and again in 2021.

This year the Airline Operations Study Group meeting will start on Wednesday, 11 May 2022 and end on Friday, 13 May 2022. All sessions will start at 13:00 UTC and run through to 20:00 UTC. These times would hopefully make it possible to attend the session within a reasonable time for many locations around the globe.


As this event is not like any of our usual events, and we realize that in these times it is nearly impossible to commit to anything costly, we have decided to greatly reduce the registration fees for this year. We do this because we feel that now more than ever we need a platform like AGIFORS to work together in combatting the effects of this pandemic.

Registration fees are:

  • Airline: for AGIFORS members registration is USD $20
    Non-members pay USD $75
  • Academic/Industry/Government/Vendors: for AGIFORS members registration is USD $50
    Non-members pay USD $75
  • Sponsor (including one registration) is $1,000
Register here for free membership. 

Due to international sanctions in place our website is currently unable to process payment from credit cards issued by most Russian banks.

AGIFORS will no longer accept new membership applications, sponsorships, or registrations to any of our upcoming study group conferences from individuals affiliated with a Russian-based entity, including Russian-based airlines.

Individuals who register as private citizens and make payment with personal funds are welcome to attend. Any person that is already registered or completes registration with Russian-based entity funds and/or affiliation will have their registration cancelled and refunds will be issued. Current members or correspondents who have a Russian affiliation in their profile who wish to register independently for an event must first remove the Russian entity from their profile.

If you have any questions regarding this policy, please direct them to secretary@agifors.org

Registration Page

Keynote Address

Our keynote speaker this year is Dr. Laurie Garrow, the President of AGIFORS.  Dr. Garrow is a Professor and Co-Director of the Center for Urban and Regional Air Mobility (CURAM) at the Georgia Insitute of Technology, in Atlanta, Georgia.  She is an expert in aviation, travel behavior, data analytics, and discrete choice modeling.  Her work on urban air mobility and aviation has been featured by NPR, USA Today, the LA TimesAvionics International, and other media outlets.  Dr. Garrow earned her Ph.D. in Civil Engineering at Northwestern University, with an emphasis on travel demand modeling and airline passenger behavior. Her dissertation won first prize in the 2004 Aviation Applications Section of INFORMS and honorable mention in the 2004 Eric Pas dissertation competition sponsored by IATBR. She is a 2013 recipient of the Walter L. Huber Civil Engineering Research Prize and the 2009 recipient of the Council of University Transportation Centers-American Road & Transportation Builders Association (CUTC-ARTBA) New Faculty Member Award. Her teaching contributions have been recognized via the institute-level award given by the Center for the Enhancement of Teaching and Learning, namely the CETL-BP Junior Faculty Teaching Excellence Award. She is also the recipient of a CAREER award.  She has previously served as Vice President of Sections and Societies of INFORMS, President of the Transportation Science and Logistics Society of INFORMS, and Chair of the Aviation Applications Section of INFORMS. Dr. Garrow has five years of industry experience, including four years as an analyst in the Research and Development Revenue Management Group of United Airlines and one year as an analyst in the Customer Science Unit of Mercer Management Consulting.

Dr. Garrow will be speaking about Generational Change in the Airline Industry -- How It Changes Operational & Technological Needs


As airlines start restoring operations back to normal, one of the biggest challenges for the airline industry is how to balance efficiency and resiliency. In addition,  we need to know how to measure operational performance day to day as well as during disruptive events in a way that considers contextual factors such as weather, schedule, maintenance and crew health.

The following areas of interest are merely guidelines for showcasing your creative work. Relevant topics outside of them will also be given consideration:

  • Weather Analytics & Performance/Maintenance: How do we access operational performance objectively given the weather conditions? How does weather impact maintenance planning?
  • Disruption management & Post Analysis: how do we balance the efficiency and resiliency? How do we define success and tell the story of an IROPS event (WX, ATC, Airport, COVID, etc)? How do we quantify the impact of a disruption holistically (customer, revenue, cost, dependability, recovery time, etc.)?
  • Support operational decision with real-time data: what is an effective way to visualize the operational data? How do we leverage cloud technology to support operational decision making? How can we build early warning indicators to monitor the operation on normal days and disruptive days?
  • Decision making under uncertainty: how do extreme events impact future decision processes? How does bias (recency, risk, etc.) impact decision making? How does uncertainty in the operational constraints impact the decision?
  • Data science & ML/AL application in airline operation

    Once again, we will have a special AGIFORS Maintenance Operations session in conjunction with Airline Operations this year.

      During the vendor presentations, you will received updates on recent developments and insights into product roadmaps.

      Technical & Vendor Presentations

      Please note that due to the very special nature of this years event and the highly reduced registration fee for vendors, vendor presentations must be pre-recorded and limited to 10 minutes, except for vendor sponsors. All non-sponsor vendor presentations will be shown together on Friday, May 16.

      ** All presentations will be shown as pre-recorded video, with live Q&A.  

      Presentation deadlines are as follows:

      • Final deadline for presentation and video of presentation: 13 April 2022 (instructions for preparation of videos will be distributed)

      In addition to the technical presentations, we also request updates on individual airlines from all areas of the world.  Please let us know if you are interested in presenting an airline update.

      We will also (as usual) have vendor presentations to update you on recent developments and insights into product roadmaps.

      We are also happy to be able to host a live panel as we did the last two years.  The topic is still to be determined.

      For questions regarding the technical presentations, and for submitting abstracts for presentations, please contact:


      The policy of AGIFORS for all their meetings are to have the registration fee for Airline staff and Academics as low as possible. The philosophy behind this is that academics are likely to enter new lines of thought into our field, and having a strong presence by airlines brings great value to both the vendors and the airlines. It would therefore be great if your organization could this year be one of our sponsors.

      Sponsors will get a 20 minute sponsor presentation within the main program (first come, first served) and their logo will be posted on this website and on all communications.  

      Gold (USD $1,000)


      List of Presentations

      All presentation Abstracts can be seen HERE

      Operations Presentations

      Airline Disruption Management with Delay Ledgers
      Chris Chen, MIT

      Schedule recovery under uncertainty with focus on resource-constrained airline ground operations

      Jan Evler, Institute of Logistics and Aviation, TU Dresden

      Optimizing Tail Assignment through Times of Change

      Tomas Gustafsson, Boeing

      Disruption Management + Benefits of adding sustainability aspects to holistic optimization approach
      Sebastian Heger, M2P Consulting GmbH

      IndiGo’s Approach to the New Normal
      Jason Herter, Indigo Airlines

      Crew Recovery Using Machine Learning and Optimization
      Ahmet Esat Hizir, MIT

      Monitoring and Predicting Safety Margins in Terminal Airspace
      Peter Kostiuk, Robust Analytics

      Pre-tactical advice using machine learning for Air Traffic Flow Management delay estimation
      Sergi Mas-Pujol  & Luis Delgado, Technical University of Catalonia

      Weather Analytics and disruption management - a data science approach

      Navid Mirmohammadsadeghi, Tim Niznik, Yuxi Xiao, American Airlines

      Fair and Risk-Averse Demand Capacity Balancing in Structured Airspace
      Luying Sun, Weijun Xie, Peng Wei, Robert Hoffman, Bert Hackney; Virginia Tech

      Machine Learning in Aircraft Recovery Problem with Dependent Connection Time

      Keji Wei, CAE

        Maintenance Presentations

        Optimizing Aircraft Engines’ Maintenance Schedule

        Mohammad Rahim Akhavan & Keith Dugas, Air Canada

        Data Driven Analytics for Maintenance Operations Performance

        Dimitry Gorinevsky, Vitali Volovoi, Mark Tedone, Mitek Analytics, M2P Consulting, Stanford University

        Designing predictive maintenance using Gaussian process learning: A case study of the landing gear brakes

        Juseong Lee, Mihaela Mitici, Delft University of Technology, The Netherlands

        Online model-based remaining-useful-life prognostics for aircraft cooling units using time-warping degradation clustering

        Mihaela Mitici, Ingeborg de Pater, Delft University of Technology, The Netherlands

        Alarm-based predictive maintenance scheduling for aircraft engines with imperfect Remaining Useful Life prognostics

        Ingeborg de Pater, Arthur Reijns, Mihaela Mitici, Delft University of Technology, The Netherlands

        A Framework for Optimizing PHM Analytic Hyperparameters

        Shashvat Prakesh, Collins

        Cost-efficient aircraft maintenance planning integrating task and workforce scheduling over multiple bases

        Jose Ignacio Sanhueza, Felipe Delgado, Mathias Klapp, Pontificia Universidad Catolica de Chile, Santiago, Chile

        Condition-Based Maintenance of an Aircraft Fleet Under Partial Observability: A Reinforcement Learning Approach

        Iordanis Tseremoglou, Bruno F. Santos, Delft University of Technology, The Netherlands


          The conference runs from 13:00 UTC to 20:00 UTC daily from Wednesday, 11 May to Friday, 13 May.

          The agenda is Here

          More Information

          For questions or more information, please contact :

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