Lavanya Marla

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Naman ShuklaFLYR LabsVerified email at illinois.edu
Arinbjörn KolbeinssonEvidation & Imperial College LondonVerified email at imperial.ac.uk
Kartik Yellepeddideepair solutionsVerified email at deepair.io
robert hampshireUniversity of MichiganVerified email at umich.edu
Akhil GuptaFLYR LabsVerified email at flyrlabs.com
Naveen EluruProfessor, Civil, Envir. and Constr. Engg, University of Central FloridaVerified email at ucf.edu
Ahmadreza Faghih ImaniCentre for Environmental Policy, Imperial College LondonVerified email at imperial.ac.uk
Yisong YueCalifornia Institute of Technology; Latitude AIVerified email at caltech.edu
Alexandre JacquillatMIT Sloan School of ManagementVerified email at mit.edu
Bo VaabenSenior Consultant, JeppesenVerified email at jeppesen.com
Ramayya KrishnanCarnegie Mellon UniversityVerified email at cmu.edu
Vikrant VazeDartmouth EngineeringVerified email at dartmouth.edu
Mayank BaranwalSenior Scientist at TCS Research, Adjunct Professor at IITB, Guest Faculty at IIM MumbaiVerified email at tcs.com
Srinivasa SalapakaUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
Carolyn L BeckProfessor of Industrial Engineering, University of Illinois at Urbana-ChampaignVerified email at illinois.edu
Sarang DeoProfessor | Operations Management | Indian School of BusinessVerified email at isb.edu
Gautier StaufferHEC LausanneVerified email at unil.ch
Lav R. VarshneyUniversity of Illinois Urbana-ChampaignVerified email at illinois.edu
Devavrat ShahMassachusetts Institute of TechnologyVerified email at mit.edu

Lavanya Marla

Associate Professor of Industrial Engineering, University of Illinois at Urbana-Champaign

Verified email at illinois.edu - Homepage

Operations research data-driven optimization large-scale optimization transportation and logistics


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
An Empirical Analysis of Bike Sharing Usage and Rebalancing: Evidence from Barcelona and Seville A Faghih-Imani, RC Hampshire, L Marla, N Eluru Transportation Research - Part A 97, 177-191, 2017	273	2017
Integrated disruption management and flight planning to trade off delays and fuel burn L Marla, B Vaaben, C Barnhart Transportation Science 51 (1), 88-111, 2017	117	2017
An efficient simulation-based approach to ambulance fleet allocation and dynamic redeployment Y Yue, L Marla, R Krishnan Proceedings of the AAAI Conference on Artificial Intelligence 26 (1), 398-405, 2012	115	2012
An analysis of bike sharing usage: Explaining trip generation and attraction from observed demand RC Hampshire, L Marla 91st Annual meeting of the transportation research board, Washington, DC, 12 …, 2012	102	2012
Robust optimization: Lessons learned from aircraft routing L Marla, V Vaze, C Barnhart Computers and Operations Research 98, 165-184, 2018	66	2018
Dynamic Airline Disruption Management under Airport Operating Uncertainty J Lee, L Marla, A Jacquillat Transportation Science 54 (4), 973-997, 2020	62*	2020
How to Incorporate Monotonicity in Deep Networks While Preserving Flexibility? A Gupta, N Shukla, L Marla, A Kolbeinsson, K Yellepeddi Workshop on Machine Learning with Guarantees at NeurIPS 2019, 2019	55	2019
Dynamic pricing for airline ancillaries with customer context N Shukla, A Kolbeinsson, K Otwell, L Marla, K Yellepeddi Proceedings of the 25th ACM SIGKDD International Conference on Knowledge …, 2019	48	2019
Estimating Economic Losses from Cyber-Attacks on Shipping Ports: An Optimization-Based Approach G Weaver, L Marla, B Feddersen, D Wei, A Rose, M van Moer Transportation Research Part C 137, 103423, 2022	16	2022
Vehicle routing problem with time windows: A deterministic annealing approach M Baranwal, PM Parekh, L Marla, SM Salapaka, CL Beck 2016 American Control Conference (ACC), 790-795, 2016	14	2016
Robust optimization for network-based resource allocation problems under uncertainty L Marla Massachusetts Institute of Technology, 2007	14	2007
Airline OR innovations soar during COVID-19 recovery LA Garrow, V Lurkin, L Marla Operations Research Forum 3 (1), 14, 2022	12	2022
The impact of climate change on the recoverability of airline networks J Lee, L Marla, P Vaishnav Transportation Research Part D: Transport and Environment 95, 102801, 2021	12	2021
Galactic Air Improves Ancillary Revenues with Dynamic Personalized Pricing A Kolbeinsson, N Shukla, A Gupta, L Marla, K Yellepeddi INFORMS Journal on Applied Analytics 52 (3), 233-249, 2022	11*	2022
Distribution Shift in Airline Customer Behavior during COVID-19 A Garg, N Shukla, L Marla, S Somanchi arXiv preprint arXiv:2111.14938, 2021	10	2021
Managing EMS systems with user abandonment in emerging economies L Marla, K Krishnan, S Deo IISE Transactions 53 (4), 389-406, 2021	10	2021
Robust ambulance allocation using risk-based metrics K Krishnan, L Marla, Y Yue 2016 8th International Conference on Communication Systems and Networks …, 2016	10	2016
Robust Modeling and Planning: Insights from Three Industrial Applications L Marla, A Rikun, G Stauffer, E Pratsini Operations Research Perspectives, 100150, 2020	8*	2020
From Average Customer to Individual Traveler: A Field Experiment in Airline Ancillary Pricing N Shukla, A Kolbeinsson, L Marla, K Yellepeddi Available at SSRN 3518854, 2020	8	2020
Adaptive Model Selection Framework: An Application to Airline Pricing N Shukla, A Kolbeinsson, L Marla, K Yellepeddi arXiv preprint arXiv:1905.08874, 2019	8	2019

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