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Vikrant Vaze

Stata Family Career Development Associate Professor of Engineering

Executive Director, Master of Engineering Management Program

vikrant.s.vaze@dartmouth.edu

Professor Vaze presents two novel solutions for long-term sustainable mobility growth.

Research Interests

Logistics and transportation; aviation; healthcare analytics; healthcare systems modeling; building energy analytics; systems optimization; game theory; data-driven and statistical modeling

Education

Bachelor of Technology, Civil Engineering, Indian Institute of Technology Bombay 2005
SM, Transportation, MIT 2007
SM, Operations Research, MIT 2010
PhD, Transportation Systems, MIT 2011

Awards

Best Paper Award, INFORMS Aviation Applications Section 2024
Best Innovation Award, AGIFORS Crew Management Study Group Meeting 2024
Ivy+ Provost Leadership Fellow Award 2024
Outstanding Service Award for Faculty, Thayer School of Engineering at Dartmouth 2024
Best Paper Award, INFORMS Aviation Applications Section 2023
Transportation Science Meritorious Service Award 2022
Best Paper Award, AGIFORS' Symposium 2022
Woodhouse Excellence in Teaching Award, Thayer School of Engineering at Dartmouth 2022
Society of Critical Care Medicine's Gold Snapshot Award 2021
Outstanding Paper Award in Air Transportation, INFORMS Transportation Science and Logistics Society 2019
Faculty Early Career Development Program (CAREER) Award, National Science Foundation 2018
Best Paper Award, 12th USA/Europe Air Traffic Management Research and Development Seminar 2017
Pikarsky Award for Best PhD Dissertation in Science and Technology, Council of University Transportation Centers 2011
Best Paper Award, 9th USA/Europe Air Traffic Management Research and Development Seminar 2011
Graduate Research Award, Airport Cooperative Research Program 2010–2011
Best Paper Honorable Mention Award, Anna Valicek Award for Original and Innovative Research in Aviation, AGIFORS 2010
UPS Merit-based Fellowship, Center for Transportation and Logistics, MIT 2010–2011
Presidential Fellowship, MIT 2005–2006
President of India Gold Medal, IIT Bombay 2005

Professional Activities

Associate Editor ofTransportation Science (2018–present)
Standing Committee Member of the National Academies of Sciences, Engineering, and Medicine on Aviation Economics and Forecasting – AV040
Standing Committee Member of the National Academies of Sciences, Engineering, and Medicine on Airfield and Airspace Capacity and Delay – AV060
Member of the Advisory Board to INFORMS Vice President of Sections/Societies (Feb 2019–present)
Secretary/Treasurer of the INFORMS Transportation Science and Logistics Society(Jan 2019–Dec 2020)
Cluster Chair of the INFORMS Transportation Science and Logistics Society (Jan–Dec 2019)
Chair of the INFORMS Aviation Applications Section (AAS) (Jan 2017–Dec 2018)
Reviewer for several major journals including Management Science; Operations Research; Transportation Science; Computers and Operations Research; Annals of Operations Research; Production and Operations Management; European Journal of Operations Research; EURO Journal on Transportation and Logistics; Interfaces; IEEE Transactions on Intelligent Transportation Systems; Journal of the American Medical Informatics Association; Transportation Research Part A: Policy and Practice; Transportation Research Part B: Methodological; Transportation Research Part C: Emerging Technologies; Transportation Research Part E: Logistics and Transportation Review; European Economic Review; Contemporary Economic Policy; International Journal of Industrial Organization; Applied Economics Letters; Journal of Guidance, Control and Dynamics; IEEE Transactions on Systems, Man, and Cybernetics Part C: Applications and Reviews; Journal of Infrastructure Systems; Journal of Air Transport Management; European Journal of Transport and Infrastructure Research; Transport Reviews; and International Journal of Business Analytics

Startups

Multivariate Systems
Co-Founder

Selected Publications

Rashedi, N., N. Sankey, V. Vaze, and K. Wei (2024). A Machine Learning Approach for Solution Space Reduction in Aircraft Disruption Recovery. European Journal of Operational Research, upcoming.
Cummings, K., V. Vaze, O. Ergun, and C. Barnhart (2024). Multimodal Transportation Pricing Alliance Design: Large-Scale Optimization for Rapid Gains. Transportation Science, upcoming.
Cummings, K., A. Jacquillat, and V. Vaze (2024). Activated Benders Decomposition for Day-ahead Paratransit Itinerary Planning. INFORMS Journal on Computing, upcoming.
Cadarso, L., and V. Vaze (2023). Passenger-Centric Integrated Airline Schedule and Aircraft Recovery. Transportation Science, 57(3), 813–837.
Jacquillat, A., V. Vaze, and K. Wang (2022). Vertiport Planning for Urban Aerial Mobility: An Adaptive Discretization Approach. Manufacturing & Service Operations Management, 24(6), 3215–3235.
Jacquillat, A., V. Vaze, and W. Wang (2022). Primary versus Secondary Infrastructure Capacity Allocation Mechanisms. European Journal of Operational Research, 303(2), 668–687.
Yan, C., C. Barnhart, and V. Vaze (2022). Choice-Based Airline Schedule Design and Fleet Assignment: A Decomposition Approach. Transportation Science, 56(6), 1410–1431.
Wei, K., V. Vaze, and A. Jacquillat (2022). Transit Planning Optimization under Ride-hailing Competition and Traffic Congestion.Transportation Science, 56(3), 725–749.
Palsule-Desai, O., V. Vaze, V., G. Li, and S. Gavirneni (2021). Service Delivery Strategies for Alleviating Pandemic Suffering While Maintaining Profitability. Service Science, 13(4), 205–226.
Sun, Y., U. Raghavan, V. Vaze, C. Hall, P. Doyle, S. Richard, and C. Wald (2021). Stochastic Programming for Outpatient Scheduling with Flexible Inpatient Exam Accommodation. Health Care Management Science, 24(3), 460–481.
Wei, K., V. Vaze, and A. Jacquillat (2020). Airline Timetable Development and Fleet Assignment Incorporating Passenger Choice. Transportation Science, 54(1), 139–163.
Barnhart, C., D. Fearing, and V. Vaze (2014). Modeling Passenger Travel and Delays in the National Air Transportation System. Operations Research, 62(3), 580–601.

Courses

ENGG 193: Statistical Methods in Engineering
ENGG 390: Master of Engineering Management Project
ENGS 103: Operations Research

Videos

The Dartmouth MEM

Models and Algorithms for Urban Mobility Planning - The Case for Underground Trains and Flying Cars

Professor Vikrant Vaze (Dartmouth) IEMS Department Seminar 12.1.2020

CHEPS Seminar Fall 2020: Vikrant Vaze

News

Researchers Develop New Method to Optimize Paratransit Systems
Apr 17, 2025

Dartmouth Engineering Faculty Bring Expertise to CERAWeek
Apr 07, 2025

New Mathematical Pricing Model Can Help Public and Private Transportation Systems Work Together So Everyone Wins
Feb 12, 2025

Professor Vikrant Vaze Appointed New MEM Program Executive Director
Jan 16, 2025

Dartmouth Engineering Study Shows Machine Learning Can Help Airlines Recover Faster After Disruptions
Dec 10, 2024

Celebrating Excellence: The 2024 Faculty Awards
Jul 31, 2024

Leading Thoughts: Where Innovation Happens
May 24, 2024

Greenshot Teams Hard at Work on Planet-Saving Startups
Feb 28, 2024

Nine Startups Join the Inaugural Greenshot Accelerator for Climate Solutions
Jan 23, 2024

Dartmouth Engineering Team to Help Decarbonize UN Peacekeeping Missions
Dec 13, 2023

Dartmouth Engineering Helps Airlines Better Understand and Serve Passenger Needs
Oct 06, 2022

Dartmouth Engineering Helps Plan for Flying Electric Taxis—Coming Sooner Than You Think
Sep 27, 2022

Service to Society: National Food Security
Dec 01, 2021

PhD Candidate Named IAEA Net Zero Challenge Finalist
Sep 23, 2021

Research Shows Millions of Dollars Saved Daily When Transit Schedules Align with Commuter Preferences
Jul 20, 2021

Differences in National Food Security Best Explained by Household Income, Not Agriculture, According to Dartmouth Engineers
Apr 14, 2021

Patient Wait Times Reduced Thanks to New Study By Dartmouth Engineers
Mar 16, 2021

Joint Dartmouth-Hitchcock and Dartmouth Team Wins Society of Critical Care Medicine Award
Dec 16, 2020

Flying In The Face of Danger
Dec 01, 2020

Rethinking Flight Schedules for the Post-Pandemic World
Jul 24, 2020

Kudos: Excellence in Engineering and Computer Science
Jul 14, 2020

Vaze to Receive Endowed Professorship
Mar 03, 2020

Dartmouth Engineers and MIT Create New Airline Scheduling Tool
Jan 17, 2020

Vikrant Vaze Honored with Outstanding Paper Award
Oct 25, 2019

Dartmouth Engineering Student Honored with Airline Research Award
Oct 04, 2019

Dartmouth-Hitchcock awarded $3 million to develop new trauma technology
Oct 19, 2018

Airlines and Passengers Save Billions Through Crew Planning
Jun 06, 2018

New scheduling model puts airlines on equal plane while easing congestion
Mar 28, 2018

Engineering PhD Student Wins Anna Valicek Bronze Medal
Jan 17, 2018

Airline Mergers Benefit Most but Not All … To a Point
Mar 27, 2017

Airline Passengers Face Longer Delays Under DOT Rule, Dartmouth-MIT Study Finds
Dec 21, 2015

Dartmouth Research Cited as Key to Meeting Engineering "Grand Challenges"
May 15, 2015

In the News

The Dartmouth
Transportation Services to expand electric vehicle initiatives
Oct 23, 2023

TheStreet
Forget Tesla: You Can Get to Work Even Faster in This Vehicle (for Just $98,000)
Apr 26, 2023

AJOT
A future of "flying cars" may be closer than you think
Apr 24, 2023

Reader's Digest
JetBlue Just Bought Spirit Airlines—Here's What That Means for Travelers
Aug 18, 2022

Informed Infrastructure
Transportation Troubleshooting: Solving a Decades-Old Problem: The Commute
Nov 29, 2021

INFORMS
Optimizing Transportation Scheduling for a Win, Win, Win Situation for All
May 21, 2021

The New York Times
It’s Not Just You: Many Are Placing Bets on Summer Travel
Apr 14, 2021

Daily Times Chronicle
Patient Wait Times Reduced Thanks to Lahey Hospital Study by Dartmouth Engineers
Mar 21, 2021

Cheddar
Airline Coronavirus Crisis Outstrips 2008 Woes, but Bailout Trickier Now, Say Experts
Mar 18, 2020

Concord Monitor
No Flights When You Want Them? Throw Some Math at the Problem!
Feb 04, 2020

360 Magazine
Revamped Crew Scheduling Model Cuts Airline Delays by as Much as 30%
Oct 23, 2019

Business NH Magazine
Dartmouth Idea Could Cut Flight Delays
Oct 23, 2019

Vermont Business Magazine
New D-H precision diagnostics may save more trauma patients
Nov 01, 2018

The Dartmouth
Research team to develop device to help trauma care
Oct 28, 2018

Science Daily
The competition between airlines and high-speed trains
Jun 15, 2018

ScienceDaily
New aircraft-scheduling models may ease air travel frustrations
Jun 15, 2018

The Dartmouth
Researchers develop equitable flight scheduling model
Apr 15, 2018

The University Network
Scientists Develop Model To Ease Air Traffic Congestion Without Sacrificing Equity
Apr 15, 2018

Travel Weekly
Did consolidation cause traffic drop at midsize airports?
Dec 13, 2017

BuzzFeed
Airline Tech Keeps Melting Down But Nobody Knows Why
May 15, 2017

Chicago Tribune
Blame airlines, not weather, for most U.S. flight delays
Aug 24, 2016

ConsumerAffairs
Study: tarmac stranding rule creating more delays
Jan 12, 2016

TravelPulse
Are DOT's Tarmac Delay Fines Actually Making Delays Longer?
Jan 12, 2016

The Wall Street Journal
Stranded at the Airport: A rule to stop tarmac delays leads to more flight cancellations
Jan 11, 2016

Chicago Tribune
Why airport torture only got worse
Jan 11, 2016

Fortune
New Rules to Prevent Airline Delays Are Backfiring
Jan 06, 2016

Chicago Tribune
Rule to prevent tarmac delays backfires for airline passengers: study
Jan 05, 2016

Runway Girl Network
Researchers propose tweak to three-hour rule for tarmac delays
Jan 05, 2016

Los Angeles Times
Airline tarmac rule leads to more passenger delays, study concludes
Jan 05, 2016

USA Today
Study: Tarmac delay rule just makes things worse
Jan 05, 2016

Bloomberg Business
Late Flights Rose After US Bid to Stem Traveler Tarmac Holdups
Dec 23, 2015

Mashable
Rule to prevent flight delays causes more delays
Dec 23, 2015

TouchVision
A rule to decrease flight delays leads to more flight delays
Dec 23, 2015

MarketWatch
Flight canceled? The government may be to blame
Dec 23, 2015

US News
Flying to N.Y. or D.C.? Get Ready to Pay the 'Babysitters'
Oct 20, 2015

The Wall Street Journal
For Delta, It's Up to You, New York
Aug 25, 2015

Livemint
Flight share plan for new Mumbai airport still up in the air
Aug 25, 2015

The Washington Post
If a flight's delayed, could it be that the passengers are at fault?
Sep 29, 2014

Research Quick Takes

Jun 05, 2025

Improving Healthcare Access

Professor Vikrant Vaze is a co-author of "A novel outreach approach for identification of familial hypercholesterolemia: Interview-based formative evaluation to improve healthcare access and quality" published in PEC Innovation. "This was a collaborative effort with folks from DH and Geisel, as well as Family Heart Foundation. The study is aimed at designing and evaluating direct outreach and referral to specialty care for patients with an elevated risk of FH identified through a machine learning model and expert review of the electronic record in a rural US health system. It's an excellent human-centered design thinking exercise and it yielded a great deal of success," said Vaze.

May 22, 2025

Most Read of All Time

Professor Vikrant Vaze is a co-author of “Operational Research: methods and applications” which recently became the most read article of all time in the Journal of the Operational Research Society—the oldest journal in the field of operations research. "This is arguably the first prominent article to provide a comprehensive overview of the state-of-the-art in operations research [OR], from both a methodological and from an applications standpoint. It is meant to serve as the first point of reference for OR academics, researchers, students and practitioners alike," said Vaze.

Apr 24, 2025

Machine Learning + Human Expertise

Professors Vikrant Vaze and Peter Chin are co-authors of "Implementation of a Machine Learning Model and Direct-to-Patient Outreach Program for Targeted Screening for Familial Hypercholesterolemia" published in Journal of Clinical Lipidology. "Machine learning by itself may not make a big difference," says Vaze. "The difference is what you do with the results. Ultimately, the combination of expert knowledge and careful operationalizing of machine learning can make a major practical impact."

Feb 27, 2025

Early Detection of Internal Bleeding

PhD student Navid Rashedi (pictured), Professor Ethan Murphy, Alexandra Hamlin '16 Th'17 Th'19, research associate Victor Borza, and Professors Jonathan Elliott, Ryan Halter, and Vikrant Vaze are co-authors of: "Detection of occult hemorrhage using multivariate non-invasive technologies" published in Physiological Measurement. "This work investigated machine learning to combine multiple technologies—electrical impedance and near infrared spectroscopy—to better detect internal bleeds in a porcine study. Internal bleeds are often not detectable until it's too late. This approach appears to detect them earlier and more accurately," said Murphy.

Sep 26, 2024

INFORMS AAS Best Paper Award

Professor Vikrant Vaze received the INFORMS AAS Best Paper Award as co-author of, "Vertiport Planning for Urban Aerial Mobility: An Adaptive Discretization Approach" published in Manufacturing & Service Operations Management. The paper optimizes the number, locations, and capacities of vertiports for electric vertical-takeoff-and-landing (eVTOL) vehicles in urban aerial mobility (UAM) systems while capturing interdependencies between vertiport deployment, tactical operations, and passenger demand.

May 30, 2024

Best Innovation Award

Professor Vikrant Vaze received the "Best Innovation" award at the Airline Group of the International Federation of Operational Research Societies' (AGIFORS) 2024 Crew Management Study Group Meeting in Modena, Italy. Vaze earned the award with a technical presentation titled "Integrated Crew Recovery Using Optimization and Machine Learning." Said Vaze, "This research combines interpretable machine learning with optimization to obtain high-quality airline recovery solutions rapidly and transparently."

May 02, 2024

EIT for Early Bleed Detection

PhD students Spencer Bertsch Th'19 and Navid Rashedi, alum Yifei Sun Th'22, and Professors Ethan Murphy (first author), Jonathan Elliott, Ryan Halter, and Vikrant Vaze—along with DHMC and Mayo Clinic researchers—co-authored "Non-invasive biomarkers for detecting progression toward hypovolemic cardiovascular instability in a lower body negative pressure model" published in Scientific Reports. The paper summarizes how electrical impedance tomography (EIT) can be used as a novel marker for early bleed detection.

Professor Vikrant Vaze at the INFORMS annual meeting in Phoenix.

Oct 19, 2023

Best Paper Award

Professor Vikrant Vaze received the INFORMS AAS Best Paper Award this week at the INFORMS annual meeting in Phoenix. The paper entitled, "Choice-Based Airline Schedule Design and Fleet Assignment: A Decomposition Approach," proposes a "decomposition approach based on partitioning the flight network into smaller subnetworks by exploiting weak dependencies in network structure."

Jun 22, 2023

NSF Engines Semifinalist

Professors Liz Murnane, Vikrant Vaze, and Wesley Marrero are lead faculty on a team selected as one of 34 semifinalists for the inaugural NSF Regional Innovation Engines competition—spanning nearly all key technology areas and societal and economic challenges highlighted in the "CHIPS and Science Act." A partnership with UMass Lowell, their proposed engine is titled, "Advancing Health Equity Through Digital Technologies, Data Infrastructure, and Artificial Intelligence." Each Engine could receive up to $160 million over 10 years.

May 11, 2023

Striving for Friendlier Skies

Professor Vikrant Vaze is one of only two academics cited in a report from The Government Accountability Office titled, "AIRLINE PASSENGER PROTECTIONS: Observations on Flight Delays and Cancellations, and DOT's Efforts to Address Them." Says Vaze on why his research was cited, "US airlines have faced some unusual disruptions recently. Our research has focused on how these disruptions impact passenger travel, and the importance of measuring the success of any disruption mitigation effort in terms of the extent to which it reduces passenger inconvenience."