Subasi, Munevver

Associate Professor
Mathematical Sciences

Personal Overview

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

Educational Background

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

Recognition & Awards

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

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

 

Current Courses

SPRING 2017

  • Mathematical Programming/Optimization Methods and Models (ORP5010/MTH5107)
  • Intro to Linear Algebra (MTH3102)
  • Stochastic OR Models (ORP5002)

FALL 2016

  • Deterministic OR Models/Introduction to Linear Optimization (ORP5001/MTH5007)
  • Applied Discrete Mathematics (MTH5051)
  • Probability and Statistics (MTH2401)
  • Methods for BioMath (MTH3663)

GRADUATE COURSES: FALL 2010 - SPRING 2016

  • Deterministic OR Models/Introduction to Linear Optimization (ORP5001/MTH5007) - Fall 2011, 2012, 2013, 2014
  • Stochastic OR Models/Intro to Probability Models (ORP5002/MTH5009) - Spring 2012, 2013, 2014, 2015, 2016
  • Mathematical Programming/Optimization Methods and Models (ORP5010/MTH5107) - Spring 2015
  • 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 2016

  • Discrete Mathematics (MTH2051) - Spring 2016
  • Intro to Linear Algebra (MTH 3102) - Spring 2016
  • 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

Professional Experience

  • Associate Professor, Department of Mathematical Sciences, Florida Institute of Technology, March 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

Additional Duties

Current Research

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 (collaborators: Dr. Gabriela Alexe from Broad Institute of MIT and Harvard and Dr. Anupama Reddy from Novartis) 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

  • Ahmed Binmahfoudh - Expected Graduation Date: May 2017
  • Majed Alharbi - Expected Graduation Date: December 2017
  • Travaughn Bain - Expected Graduation Date: May 2018
  • Melissa Moreno - Expected Graduation Date: December 2018
  • Juan Felix Avila Herrera - Graduation Date: May 2013

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", Recipient of 2016 President's Award for Undergraduate Research in College of Science at 2016 Northrop Grumman Engineering & Science Student Design Showcase
  • 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", Recipient of 2013 President's Award for Undergraduate Research in College of Science and Best-in-Show in Mathematical Sciences at 2013 Northrop Grumman Engineering & Science Student Design Showcase
  • Nicole Johnson (Math Sciences - 2013) - "The Game of Volleyball : A Mathematical Analysis", Best-in-Show in Mathematical Sciences at 2013 Northrop Grumman Engineering & Science Student Design Showcase
  • Roby Poteau (Math Sciences & Biomath) - "A Mathematical Approach to Predict the Progression of
    Chronic Kidney Disease", Recipient of 2012 President's Award for Undergraduate Research in College of Science at 2012 Northrop Grumman Engineering & Science Student Design Showcase - Recently joined the grad prgram in Operations Research
  • Joshua Adadevoh (Applied Math - 2012) - "The Cost of Being Connected: A Cost-Efficient Network Design for Florida Tech"
  • Olayinka Badejo (Math Sciences - 2011) - "Classroom Scheduling Problem at Florida Tech", Dual MS degree in Systems Engineering and Operations Research

Selected Publications

  • M.M. Subasi, E. Subasi, A. Binmahfoudh, and A. Prekopa (2017). New Bounds for Probability that at Least k-out-of-n Events Occur with Unimodal Distributions. Discrete Applied Mathematics. http://dx.doi.org/10.1016/j.dam.2017.03.011
  • E. Subasi, M.M. Subasi, Peter L. Hammer, V. Anbalagan, J. Roboz, M.S. Lipkowitz (2017). A Classification Model to Predict the Rate of Decline of Kidney Function. Frontiers in Medicine (Nephrology). Under Revision.
  • 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). Submitted to Discrete Applied Mathematics. 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.