Esra Buyuktahtakin Toy

Associate Professor, Mechanical and Industrial Engr

esratoy@njit.edu

MEC-3333 Mechanical Engineering Center

About Me

Esra Büyüktahtakιn Toy is an Associate Professor in the Department of Mechanical and Industrial Engineering at NJIT. Her research involves developing integrated data analytics and risk-averse stochastic mixed-integer programming models and solution algorithms. Her applied research focuses on tackling epidemic diseases in forestry and healthcare, e.g., invasive insects that create havoc on forests, such as the emerald ash borer (EAB) and infectious diseases that ravage the human body, such as the COVID-19, Ebola virus disease, and the human immunodeficiency virus (HIV). Dr. Büyüktahtakιn Toy is the recipient of the 2016 NSF CAREER Award. She has also been awarded various projects by the United States Department of Agriculture (USDA) and the U.S. Forest Service. She has published her research in several top-tier journals, including IISE Transactions, INFORMS Journal on Computing, EJOR, and Annals of Operations Research. Dr. Büyüktahtakın Toy has served the INFORMS Junior Faculty Interest Group (JFIG) in various roles (secretary, vice president, and president) between 2011 and 2015. She also serves as the associate editor for the Springer Nature Operations Research Forum journal.

Experience

NJIT

Associate Professor, August 2017 -

Wichita State University

Assistant Professor, August 2011 - July 2017

University of Arizona

Visiting Assistant Professor, August 2009 - August 2011

Awards & Honors

2019 INFORMS MIF Paper Competition, Finalist, INFORMS

2017 INFORMS MIF Paper Competition, Finalist, INFORMS

2017 WSU Young Faculty Scholar Award, Wichita State University

2016 Dwane and Velma Wallace Award for Excellence in Research, Wichita State University

2016 INFORMS Minority Issues Forum (MIF) Early Career Award, INFORMS

Website

https://web.njit.edu/~esratoy/

Teaching Interests

Operations Research, Engineering Data Analytics, Optimization, Mathematical Programming, Information, and Knowledge Engineering Systems

Past Courses

IE 439: DETERMINISTIC MOD IN OPER RESR

IE 439: DETERMINISTIC MODELS - IE

IE 441: INFO & KNOW ENGR SYSTEMS

IE 705: MATH PROG IN MGT SCIENCE

Research Interests

Optimization under Uncertainty;
Integrated Optimization and Machine Learning Methods;
Risk-Averse Stochastic Mixed-Integer Programming;
Emerging Applications of OR in Resource Allocation for Environmental Sustainability, Intervening Epidemic Diseases, Humanitarian Logistics, and Supply Chains, Production Planning, and Asset Replacement

Journal Article

Kibis, Eyyub, & Buyuktahtakin-Toy, Ismet, & Haight, Robert, & Akhundov, Najmaddin, & Knight, Kathleen, & Flower, Charlie (2020). A New Multi-Stage Stochastic Programming Approach to the Optimal Surveillance and Control of Emerald Ash Borer in Cities. Accepted for publication in INFORMS Journal on Computing,

Onal, Sevilay, & Akhundov, Najmaddin, & Buyuktahtakin-Toy, Ismet, & Smith, Jennifer, & Houseman, Gregory (2020). An integrated simulation-optimization framework to optimize search and treatment path for controlling a biological invader. International Journal of Production Economics, 222, 107507.

Bushaj, Sabah, & Buyuktahtakin-Toy, Ismet, & Yemshanov, Denys, & Haight, Robert (2020). Optimizing surveillance and management of emerald ash borer in urban environments. Natural Resource Modeling, e12267.

Hasan, Mostafa, & Buyuktahtakin-Toy, Ismet, & Elamin, Elshami (2019). A multi-criteria ranking algorithm (MCRA) for determining breast cancer therapy. Omega, 82, 83--101.

K\ib\i\cs, Eyy\"ub Y, , & Buyuktahtakin-Toy, Ismet (2019). Optimizing multi-modal cancer treatment under 3D spatio-temporal tumor growth. Mathematical Biosciences, 307, 53--69.