ISE Professor Lavanya Marla and collaborators used artificial intelligence to design a customized pricing model for airline customers.
- Doctor of Philosophy (PhD), Transportation Systems, Massachusetts Institute of Technology (MIT), September 2010. Thesis: Airline Schedule Planning and Operations: Optimization-based Approaches for Delay Mitigation, Advisor: Prof. Cynthia Barnhart, Chancellor, MIT.
- Master of Science (S.M.), Transportation and Operations Research (dual degree), Massachusetts Institute of Technology, June 2007.
- Bachelor of Technology (B.Tech.), Major: Civil Engineering, Minor: Industrial Engineering, Indian Institute of Technology (IIT), Madras, June 2004.
- Assistant Professor, University of Illinois at Urbana-Champaign, Urbana, IL, Department of Industrial and Enterprise Systems Engineering, Jan 2013-present. Zero-time appointment with Civil and Environmental Engineering and Information Trust Institute
- Systems Scientist and iLab Mobility Analytics Co-director, Heinz College, Carnegie Mellon University (CMU), Pittsburgh PA, Sep 2010-Dec 2012.
- Visiting Faculty/Scholar, Indian School of Business, Hyderabad, India, Feb-August 2015.
My research aims at the development and application of tools from large-scale optimization, data mining, statistics, simulation, applied machine learning and computational techniques to build logistics and transportation systems that are operationally flexible and dynamically adaptable to improve cost, efficiency, robustness and environmental
impact – which are crucial for a sustainable system. This vision is challenging because of the sheer size of the system, competition between multiple stakeholders and presence of significant uncertainty. To analyze and address evolving transportation infrastructure, I use tools from large-scale optimization, data mining, statistics, simulation, visualization and computational techniques. My research style involves: (i) analyzing large-scale real-world data from public agencies, operators and users to identify high-impact opportunities, (ii) developing quantitative data-driven models and algorithms to address them, and (iii) evaluating impact by testing on realistic simulation testbeds.
- Shared transportation systems
- Logistics systems (routing and scheduling, last-mile transportation, cyber-physical systems)
- Emergency medical systems
- Air transportation systems
- Transportation and logistics networks
- Applied machine learning
- Game theory
- Robust network design and operations
- Data-driven statistical modeling and optimization
- Decision-making under uncertainty in large-scale networks
- Data Analytics
- Operations Research
Selected Articles in Journals
- J. Lee, L. Marla and A. Jacquillat, “Dynamic Airline Disruption Management under Airport Operating Uncertainty”. Accepted, Transportation Science, January 2020.
- L. Marla, V. Vaze and C. Barnhart, “Robust Optimization: Lessons Learned from Aircraft Routing,” Computers and Operations Research, Vol 98, October 2018, pp. 165-184.
- A. Faghih-Imani, R. Hampshire, L. Marla and N. Eluru (2017). An Empirical Analysis of Bike Sharing Usage and Rebalancing: Evidence from Barcelona and Seville, Transportation Research Part A: Policy and Practice, 97, 177-191.
- L. Marla, B. Vaaben and C. Barnhart, "Integrated Airline Disruption Management and Flight Planning to Tradeoff Delays and Fuel Burn," Transportation Science, Vol 51, No. 1, February 2017, pp 88-111.
- L. Marla, C. Barnhart and V. Biyani, "A Decomposition Approach for Robust Commodity Pickup and Delivery with Time-Windows under Uncertainty," Journal of Scheduling, Vol 17, Issue 5, 2014.
Articles in Conference Proceedings
- N. Eggenberg and L. Marla, “Congestion in a competitive world: a study of the impact of competition on airline operations,” in Proceedings of the Swiss Transport Research Conference (STRC) September 9-11, 2009.
- L. Marla and C. Barnhart (2011), “A decomposition approach for shipment pickup and delivery for time-windows under uncertainty,” in Proceedings of the Multidisciplinary International Scheduling Conference: Theory and Applications, August 9-12, 2011.
- R. Krishnan, L. Marla and Y. Yue, “An Efficient Simulation-based Approach to Ambulance Allocation and Dynamic Redeployment,” in Proceedings of the 26th Conference on Artificial Intelligence held by the Association for the Advancement of Artificial Intelligence (AAAI), July 22-26, 2012. Acceptance rate of 25%, similar to NIPS.
- K. Krishnan, L. Marla and Y. Yue, “Robust Ambulance Allocation Using Risk-based Metrics,” in Proceedings of the Intelligent Transportation Systems Workshop of COMSNETS (International Conference on Communication Systems and Networks) 2016.
- M. Baranwal, P.M. Parekh, L. Marla, S.M. Salapaka and C. Beck. “Vehicle Routing Problem with Time-Windows: A Deterministic Annealing Approach,” in Proceedings of the American Control Conference, 2016, Boston.
- G. A. Weaver and L. Marla, “Cyber-Physical Simulation and Optimal Mitigation for Shipping Port Operations”, in Proceedings of Winter Simulation Conference 2018.
- N. Shukla, A. Kolbeinsson, K. Otwell, L. Marla and K. Yellepeddi, “Dynamic Pricing for Airline Ancillaries with Customer Context”, in Proceedings of the 25th ACM SIGKDD Conference on ACM Knowledge Discovery and Data Mining, August 4-8, 2019. (acceptance rate ~14%)
- Naman Shukla, Arinbjorn Kolbeinsson, Lavanya Marla and Kartik Yellepeddi, “Adaptive Model Selection Framework: An Application to Airline Pricing”, Real-world Sequential Decision Making Workshop at the International Conference on Machine Learning (ICML), Long Beach, California, 2019.
- K. Krishnan, L. Marla and S. Deo, "Managing EMS Systems with Abandonment Behavior in Emerging Economies", Under review (second round) at IISE Transactions. Submitted March 2019, resubmitted January 2019, decision expected April 2020.
- P. McLaughlin, J. Shin and L. Marla, "Strategic Service Logistics Games with Customer-Induced Competition", invited for Major Revision, Management Science. Submitted June 2018, resubmitted April 2019, resubmitted March 2020.
Other Scholarly Activities
- Invited referee for the following journals: Management Science, Transportation Science, Manufacturing and Service Operations Management, Transportation Research-Part B, Decision Sciences, Networks, Transportation Research-Part E, Transportation Research-Part C, Transportation Research-Part A, Transportation Research-Part D, Journal of Scheduling, Journal of Air Transport Management, COmputers and Industrial Engineering, Annals of Operations Research, Production and Operations Management, Networks and Spatial Economics, Socio-Economic and Planning Sciences, Flexible Services and Manufacturing, Decision Analysis, 4OR.
Other Outside Service
- Invited to judge the IIE Transactions' Best paper Award for INFORMS
- Invited to serve on the National Science Foundation's CMMI Panel
- Invited to judge the INFORMS Aviation Applications Section's Best Dissertation Award for 2014.
- Invited to serve on the National Science Foundation's Cyber-Physical Systems Panel
- National Merit Scholarship Fellow, National Council for Educational Research and Training. (1998-2004 (awarded in 1998).)
- Alfred P. Sloan Foundation Fellowship. (2008-2009)
- Ann Hershfang Graduate Scholarship. (2010)
- US Department of Transportation Grant to establish a University Transportation Center (UTC) at Carnegie Mellon University (January 2012)
- Invited Keynote speaker, Society of Women Engineers (Fall 2015)
- Winner, Cross-Regional Collaboration Grant for 2017-2018 by the INFORMS Transportation Science and Logistics (TSL) Society, sponsored by Kalyx Warehousing; with Prof. Gitakrishnan Ramadurai as Co-PI. (Nov 2017)
- Honorable Mention in AGIFORS Anna Valicek Competition 2018, for paper “Dynamic Airline Disruption Management under Airport Operating Uncertainty”. (August 2018)
- Best Technical Presentation Award, AGIFORS Revenue Management Study Group Conference, AGIFORS 2019. (May 2019)
- KDD Startup Research Award, with Deepair Solutions, 25th ACM SIGKDD, 2019. (August 2019)
- IE 360 - Facilities Planning and Design
- IE 514 - Optimiz Mthds Lrg Scale Ntwk
- IE 598 - Large-scale Ntwrk Optimization
- IE 598 - Optimiz Mthds Lrg Scale Ntwk
- IE 598 - Special Topics Course
Lavanya Marla and her team have developed models to help the airline industry create schedules that are less susceptible to delay.
Assistant Professor Lavanya Marla analyzes how airlines could incorporate flight planning on a network-wide level.
An engineer brings to bear the full scope of her systems knowledge to address a problem affecting the health of billions of people