Kayse Lee Maass

Assistant Professor,  Mechanical and Industrial Engineering

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Office

  • 321 SN
  • 617.373.3629

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Research Focus

Stochastic optimization, network theory, facility location modeling, and supply chain design for applications regarding equity, access, human trafficking, mental health, and humanitarian logistics

Education

  • PhD, University of Michigan, Ann Arbor, Industrial and Operations Engineering, 2017
  • MS, University of Michigan, Ann Arbor, Industrial and Operations Engineering, 2014
  • BA, Bethel University, Mathematics, 2012
  • BA, Bethel University, Physics, 2012

Professional Affiliations

  • Institute for Operations Research and Management Science (INFORMS)
    • Manufacturing and Service Operations Management Society
    • Health Applications Society
    • Transportation Science and Logistics Society
    • Service Science Section
    • Location Analysis Section
    • Women In ORMS Forum
  • Production and Operations Management Society (POMS)
  • Health, Education, Advocacy, Linkage (HEAL) Trafficking
  • Omicron Delta Kappa (ODK)

Research Overview

Stochastic optimization, network theory, facility location modeling, and supply chain design for applications regarding equity, access, human trafficking, mental health, and humanitarian logistics

Department Research Areas

Selected Publications

  • M.S. Daskin,  K.L. Maass (2019). Location Analysis and Network Design. Chapter 17, Operations, Logistics and Supply Chain Management, (H. Zijm, M. Klumpp, A. Regattieri, and S. Heragu editors), Springer. pp. 379-398. DOI: 10.1007/978-3-319-92447-2_17
  • L.M. Flowers, K.L. Maass, G.J. Melin, R.L. Campbell, C.M. Lohse, P.J. Novotny, J.J. Westphal, D.M. Nestler, K.S. Pasupathy (2018). Consequences of the 48-Hour Rule: A Lens into the Psychiatric Patient Flow Through an Emergency Department, American Journal of Emergency Medicine, 36(11) 2029-2034.  DOI: 10.1016/j.ajem.2018.03.016
  • K.L. Maass, M.S. Daskin (2017). A Cyclic Allocation Model for the Inventory-Modulated Capacitated Location Problem, Information Systems and Operational Research, 55(4) 312-338
  • K.L. Maass, M.S. Daskin, S. Shen (2016). Mitigating Hard Capacity Constraints with Inventory in Facility Location Modeling, IIE Transactions, 48(2)120-133
  • K.L. Maass, B. Liu, M.S. Daskin, M. Duck, Z. Wang, R. Mwenesi, H. Schapiro (2015). Incorporating Nurse Absenteeism Into Staffing with Demand Uncertainty, Health Care Management Science, 20(1)141-155
  • K.L. Maass, A. Weiss, V.M.H Lo, M.S. Daskin (2015). Maximizing Diversity in the Engineering Global Leadership Cultural Families, Interfaces, 45(4)293-304
  • M.S. Daskin, K.L. Maass (2015). The p-Median Problem. Chapter 2, Location Science, (G. Laporte, S. Nickel, and F. Saldanha-da-Gama editors), Springer, pp. 21-45

Faculty

Jan 29, 2021

Modeling Effective Network Disruptions for Human Trafficking

MIE Assistant Professor Kayse Lee Maass is a co-principal investigator on a five-year collaborative $1M NSF grant titled “Modeling Effective Network Disruptions for Human Trafficking.”

Students

Nov 18, 2020

Alex Bender Finalist for INFORMS Undergraduate Operations Research Prize

Industrial engineering student Alex Bender, E’20, was named as a finalist of the 2020 INFORMS Undergraduate Operations Research Prize for his paper titled “Estimating Effectiveness of Identifying Human Trafficking Victims: An Application of Data Envelopment Analysis on the Nepal–India Border.”

Faculty

Nov 02, 2020

Effective Strategies to Disrupt Recruitment of Human Trafficking Victims

MIE Assistant Professor Kayse Lee Maass and CSSH Professor Amy Farrell are co-principal investigators of a $759K National Institute of Justice grant titled “Identification of Effective Strategies to Disrupt Recruitment of Victims in Human Trafficking: Qualitative Data, Systems Modeling, Survivors and Law Enforcement.”

Faculty

Apr 11, 2020

FY21 TIER 1 Award Recipients

Congratulations to the 19 COE faculty and affiliates who were recipients of FY21 TIER 1 Interdisciplinary Research Seed Grants for 13 different projects.

Jan 27, 2020

Spring 2020 PEAK Experiences Awardees

Congratulations to the COE student recipients of the Spring 2020 PEAK Experiences Awards. The PEAK Experiences Awards are a progressively structured sequence of opportunities designed to support learners as they continue climbing to new heights of achievement in undergraduate research and creative endeavor throughout their Northeastern journeys. BASE CAMP AWARDS Developing HPLC Methods for Characterizing […]

Faculty

Sep 26, 2019

Maass Mentioned in United Nations Report on Modern Slavery

MIE Assistant Professor Kayse Lee Maass’s research on disrupting human trafficking was mentioned in a recent United Nations report titled “Current and emerging forms of slavery: Report of the Special Rapporteur on contemporary forms of slavery, including its causes and consequences.”

Faculty

Aug 27, 2019

Maass Awarded NSF Grant to Study Resource Allocation to Disrupt Human Trafficking Networks

MIE Assistant Professor Kayse Lee Maass is a co-principal investigator on a $535K NSF grant, titled, “ISN2: Disrupting Human Trafficking via Needs Matching and Capacity Expansion.”

woman with blond long hair portrait shot

Faculty

Aug 26, 2019

Maass Receives NSF Award to Address Labor Trafficking in the Agricultural Sector

MIE Assistant Professor Kayse Maass (PI), Shawn Bhimani (co-PI), Visiting Assistant Professor in D’Amore-McKim School of Business’s Supply Chain and Information Management Group, and Amy Farrell (co-PI), associate professor in the School of Criminology and Criminal Justice and co-director of the Violence and Justice Research Lab, received a $574K grant from the NSF for “ISN2: Coordinated Interdiction for Disruption of Labor Trafficking in the Agricultural Sector.”

Faculty

Feb 08, 2019

Using Industrial Engineering Principles to Combat Human Trafficking

MIE Assistant Professor Kayse Lee Maass is using her industrial engineering expertise and supply-chain models to help experts combat human trafficking.

Faculty

Nov 14, 2018

Maass Recognized for Research in Location Analysis

MIE Assistant Professor Kayse Lee Maass received the Best SOLA Dissertation Award as runner up at the INFORMS Section of Location Analysis (SOLA) annual conference in Phoenix. Her dissertation was entitled "Mitigating Hard Capacity Constraints in Facility Location Modeling".

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