Associate Professor, Mathematical Sciences

I am seeking strongly motivated graduate students who have passion for mathematics and its exciting applications. If you are interested in pursuing Ph.D. degree in Operations Research and would like to investigate various problems in the field of Stochastic Programming, apply to our Operations Research Ph.D. program at http://www.fit.edu/programs/grad/phd_operations_research

**B.S. Mathematics, 1997**

Cukurova University, Adana, TURKEY

**M.S. Mathematics, 1999**

Cukurova University, Adana, TURKEY

Thesis Title: Lie Algebras, Programs and Applications

Advisor: Dr. Naime Ekici

Area of Study: Lie Algebras

**Ph.D. Operations Research, 2008**

Rutgers University, New Jersey, USA

Dissertation Title: New Results in Probability Bounding, A Convexity Statement and Unimodality of Multivariate Discrete Distributions

Advisor: Dr. Andras Prekopa

Area of Study: Stochastic Programming

**Post-doc Operations Research and Bioinformatics, 2008-2010**

RUTCOR, Rutgers Center for Operations Research, New Jersey, USA

Mentors: Dr. Endre Boros and Dr. Andras Prekopa

BioMaPS Institute, Rutgers University, New Jersey, USA

Mentor: Dr. Gyan Bhanot

**NSF REU Site:** Research at the Intersection of Biology and Mathematics, $319,233, 10/01/2014-09/01/2017

- http://research.fit.edu/reu-biomath/
**PI:**David Carroll, Department of Biological Sciences**co-PI:**Munevver Mine Subasi, Department of Mathematical Sciences**REU Team:**Biological Sciences: Lisa Moore, Mark Bush, Andrew Palmer, and Eric Guisbert; Mathematical Sciences: Jian Du, Jewgeni Dshalalow and Nezamoddin Nezamoddini-Kachouie, Systems Engineering: Ersoy Subasi

**The Community Foundation of Brevard’s Kenneth R. Finken and Dorothy Hallam Finken Endowment Fund**, Breast Cancer Research, $21,184, 07/01/2013-06/01/2014

**SPRING 2018**

- Mathematical Programming/Optimization Methods and Models (ORP5010/MTH5107)
- Intro to Linear Algebra (MTH3102)

**GRADUATE COURSES: FALL 2010 - FALL 2017**

- Deterministic OR Models/Introduction to Linear Optimization (ORP5001/MTH5007) - Fall 2011, 2012, 2013, 2014, 2016, 2017
- Stochastic OR Models/Intro to Probability Models (ORP5002/MTH5009) - Spring 2012, 2013, 2014, 2015, 2016, 2017
- Mathematical Programming/Optimization Methods and Models (ORP5010/MTH5107) - Spring 2015, 2017, 2018
- Applied Discrete Mathematics (MTH5051) - Fall 2014, 2016, Spring 2015, 2016
- Special Topics: Applied Biostatistics (MTH5050) - Fall 2014
- Advanced Topics in Math Programming (ORP 6010) - Spring 2014
- Computational Methods in OR (ORP5090/MTH5050) - Fall 2012
- Combinatorics and Graph Theory (MTH5050 / ORP5090) - Fall 2011, Spring 2013

**UNDERGRADUATE COURSES: FALL 2010 - FALL 2017**

- Methods for BioMath (MTH3663) - Fall 2016, 2017
- Discrete Mathematics (MTH2051) - Spring 2016
- Intro to Linear Algebra (MTH 3102) - Spring 2016, 2017, 2018
- Combinatorics and Graph Theory (MTH3051/CSE2500) - Spring 2011, Fall 2013, 2014
- Probability and Statistics (MTH2401) - Fall 2010, 2016, Spring 2011, 2012, 2014
- Trigonometry Review (MTH1801) - Fall 2012

**Associate Professor,**Department of Mathematical Sciences, Florida Institute of Technology, August 2016 - present**Assistant Professor**, Department of Mathematical Sciences, Florida Institute of Technology, August 2010 - July 2016**Research Associate**, BioMaPS Institute, Rutgers University, September 2009 - June 2010**Post-doctoral Fellow**, RUTCOR, Rutgers University, September 2008 - June 2009**Adjunct Professor**, Department of Mathematics, Rutgers University, June 2008 - June 2010**Teaching Assistant**, RUTCOR, Rutgers University, September 2001 - May 2008**Lecturer**, Department of Mathematics, Rutgers University, Summer 2003 - Summer 2008**Research Assistant**, Department of Mathematics, Cukurova University, September 1997 - June 2000

- Facutly Advisor of Florida Institute of Technology Chapter of SIAM http://floridatech.orgsync.com/org/siam/About
- SACS Assessment Coordinator - Department of Mathematics
- APAC Representative - College of Science

Dr. Subasi’s research interests lie primarily in the area of stochastic programming, including two-stage/multistage problems with probabilistic constraints, the convexity theory of probabilistic constrained stochastic programming problems, probability bounding problem, and multivariate discrete unimodality.

Her other research interests include combinatorial data analysis with a focus on pattern based feature selection methods and data mining with applications to medicine and biology. She is currently analyzing breast cancer and lung cancer datasets to identify combinations of molecular and clinical features that are highly correlated with cancer patient outcome. She is also collaborating with Dr. Michael Lipkowitz (Georgetown University Medical Center) to develop a mathematical model that is used to predict the progression rate of chronic kidney disease.

**Ph.D. Advisees**

- Juan Felix Avila Herrera - Graduation Date: May 2013
- Ahmed Binmahfoudh - Graduation Date: May 2017
- Majed Alharbi - Graduation Date: December 2017
- Travaughn Bain - Expected Graduation Date: July 2018
- Nasser Alreshidi - Expected Graduation Date: July 2019
- Talal Alharbi
- Nandini Rakala
- Melissa S. Moreno

**M.S. Thesis Advisees**

- M. Megan Moreno - Expected Graduation Date: December 2018
- Isa Tuncman - Graduation Date: July 2015
- Kshetrajna Raghavan - Graduation Date: December 2013

**Undergraduate Research Students**

**James Williams & Willa Huddleston**(Math Sciences - 2017) - "A Mathematical Model to Identify Flight Delay Patterns of U.S. Airlines" -**Poster accepted to Society for Industrial and Applied Mathematics (SIAM) Annual Conference**, Pittsburgh, PA, July 10-14, 2017 http://www.siam.org/meetings/an17/**Allison Pinther**(Math Sciences - 2017) - "Stylometric Analysis of Literary Texts"**Zoe Ashton**(Math Sciences - )**-**"Clinical and Genomic Risk Factors of Chronic Kidney Disease",in College of Science at 2016 Northrop Grumman Engineering & Science Student Design Showcase*Recipient of 2016 President's Award for Undergraduate Research***Daniel Beck**(Math Sciences - 2014) - "Optimal Mining Cut-off Grades: Hinoba Copper Mine in the Philippines", Graduate Student in Mining Department, University of South Dakota**Matthew Malczyk**(Math Sciences - 2013) - "Mathematics - Music to my ears: A Monte Carlo Markov

Chain Model for Music Composition",in College of Science and**Recipient of 2013 President's Award for Undergraduate Research**in Mathematical Sciences at 2013 Northrop Grumman Engineering & Science Student Design Showcase**Best-in-Show****Nicole Johnson**(Math Sciences - 2013) - "The Game of Volleyball : A Mathematical Analysis",in Mathematical Sciences at 2013 Northrop Grumman Engineering & Science Student Design Showcase**Best-in-Show****Roby Poteau**(Math Sciences & Biomath) - "A Mathematical Approach to Predict the Progression of

Chronic Kidney Disease",in College of Science at 2012 Northrop Grumman Engineering & Science Student Design Showcase - Recently joined the grad prgram in Operations Research*Recipient of 2012 President's Award for Undergraduate Research***Joshua Adadevoh**(Applied Math - 2012) - "The Cost of Being Connected: A Cost-Efficient Network Design for Florida Tech"**Olayinka Badej**o (Math Sciences - 2011) - "Classroom Scheduling Problem at Florida Tech", Dual MS degree in Systems Engineering and Operations Research

- E. Subasi, M.M. Subasi, A. Binmahfoudh, A. Prekopa (2018). Sharp Bounds for Probability that Exactly k-out-of-n Events Occur with Unimodal Distributions. Under review
- B. Kutt, R. Burdorf, T. Bain, L. Moore, M.M. Subas (2018). Interalgorithmic Consolidation for Pattern Recognition Applied to Melanoma Genomic Data, Proceedings of 2018 International Symposium on Artificial Intelligence and Mathematics, Fort Lauderdale, FL. Available online at http://isaim2018.cs.virginia.edu/papers.html
- T. Bain, J.F. Avila-Herrera, E. Subasi, M.M. Subasi (2018). Logical Analysis of Multiclass Data with Relaxed Patterns, Proceedings of 2018 International Symposium on Artificial Intelligence and Mathematics, Fort Lauderdale, FL. Available online at http://isaim2018.cs.virginia.edu/papers.html
- A. Alharbi, E. Subasi, M.M. Subasi (2017). New Sufficient Conditions for Strong Unimodality of Multivariate Discrete Distributions, Discrete Applied Mathematics - In-press. DOI: 10.1016/j.dam.2017.11.026
- E. Subasi, M.M. Subasi, P.L. Hammer, J. Roboz, V. Anbalagan, M. Lipkowitz (2017). A Classification Model to Predict the Rate of Decline of Kidney Function, Frontiers in Medicine 4, 97-106. Available online at http://journal.frontiersin.org/article/10.3389/fmed.2017.00097. DOI= 10.3389/fmed.2017.00097
- M.M. Subasi, E. Subasi, A. Binmahfoudh, A. Prekopa (2017). New bounds for the probability that at least
*k*-out-of-*n*events occur with unimodal distributions, Discrete Applied Mathematics 226, 138-157 - M.M. Subasi and J.F. Avila-Herrera (2016). Logical Analysis of Multi-class Data. Proceedings of 2016 International Symposium on Artificial Intelligence and Mathematics, Fort Lauderdale, FL. Available online at http://isaim2016.cs.virginia.edu/papers.html
- E. Subasi, M.M. Subasi, J. Roboz, V. Anbalagan, M. Lipkowitz, and P.L. Hammer (2016). A Classification Model to Predict the Rate of Decline of Kidney Function, Proceedings of 2016 International Symposium on Artificial Intelligence and Mathematics, Fort Lauderdale, FL. Available online at http://isaim2016.cs.virginia.edu/papers.html
- M.M. Subasi, M. Moreno, T. Bain, M.M. Moreno, E. Subasi, K. Carroll, E. Cunningham, and M. Lipkowitz (2016). Pattern-based Classification and Survival Analysis of Chronic Kidney Disease, Proceedings of 2016 International Symposium on Artificial Intelligence and Mathematics, Fort Lauderdale, FL. Available online at http://isaim2016.cs.virginia.edu/papers.html
- J.F. Avila Herrera and M.M. Subasi (2012). A new approach to select significant patterns in Logical Analysis of Data (2012). Available as RUTCOR Research Report RRR 31-2012.
- M.M. Subasi, E. Subasi, M. Anthony, and P.L. Hammer (2011). A new imputation method for incomplete binary data. Discrete Applied Mathematics 159 (10), 1040-1047.
- A. Prekopa, K. Yoda, and M.M. Subasi (2011). Uniform quasi-concavity in probabilistic constrained stochastic programming, Operations Research Letters 39 (3), 188-192.
- E. Subasi, M.M. Subasi, and A. Prekopa (2009). On strong unimodality of multivariate discrete distributions, Discrete Applied Mathematics 157 (2), 234-246.
- M.M. Subasi, E. Subasi, M. Anthony, P.L. Hammer (2009). Using a similarity measure for credible classification, Discrete Applied Mathematics 157 (5) 1104-1112.
- E. Subasi, M.M. Subasi, and A. Prekopa (2009). Discrete moment problems with distributions known to be unimodal, Mathematical Inequalities and Applications 12 (3), 587-610.
- A. Pekopa, M.M. Subasi, and E. Subasi (2008). Sharp bounds for the probability of the union of events under unimodality condition, European Journal of Pure and Applied Mathematics 1, 60-81. Honorary invited paper.
- M.M. Subasi, E. Subasi, and A. Prekopa (2009). Maximization of a strongly unimodal multivariate discrete distribution, RUTCOR Research Report RRR 12-2009.
- A. Prekopa and M.M. Subasi (2007). A convexity theorem in programming under probabilistic constraints, RUTCOR Research Report RRR 32-2007.
- E. Subasi, M.M. Subasi, and A. Prekopa (2006). Sharp bounds for probabilities with given shape information, RUTCOR Research Report RRR 4-2006.
- E. Subasi, M.M. Subasi, and A. Prekopa (2005). Discrete moment problem with given shape of the distribution, RUTCOR Research Report RRR 41-2005.
- N. Ekici, M.M. Subasi (Varat), and E. Ekici (2003). Commutator subalgebras of free product of Lie algebras, Soochow Journal of Mathematics, Vol 29, 1, 7-14, January 2003.