Subasi, Ersoy
Ersoy Subasi
Associate Professor | College of Aeronautics
Doctoral Program Coordinator | College of Aeronautics
Contact Information
Personal Overview
My research can be categorized into three main strands: stochastic programming, financial mathematics, and data mining. Undoubtedly, these are exciting times for these fields, clearly seen by numerous scholarly articles published in both journals and conference proceedings in the past few years. I believe operations researchers can play an important role as catalysts for large-scale investigations that occur in interdisciplinary research. My goal as an operations researcher is to be able to initiate and provide commonality through theory to investigations requiring components which are specialized and often disparate.
Working on various interdisciplinary projects has given me a taste of how thrilling it is to apply my mathematical and computational skills to solve challenging real life problems. I value and enjoy collaborative and interdisciplinary research. I am also eager to be involved in joint industry-university projects.
Educational Background
Post-doc, RUTCOR, Rutgers Center for Operations Research, August 2007 - June 2010
- Rutgers, The State University of New Jersey, USA
- Post-doc Mentor: Dr. Andras Prekopa
- Area of Study: Stochastic Programming
Operations Research-Ph.D., RUTCOR, Rutgers Center for Operations Research, January 2007
- Rutgers, The State University of New Jersey, USA
- Dissertation: Sharp Bounds for Expectations and Probabilities in a Distribution with Given Shape Information
- Advisor: Dr. Andras Prekopa
- Area of Study: Stochastic Programming
Business Administration-M.B.A., School of Economics and Administrative Sciences, June 1999
- Akdeniz University, Antalya, TURKEY
- Thesis: Interior Point Algorithms for Large Scale Portfolio Optimization
- Advisor: Professor Ayse Kuruuzum
- Area of Study: Quantitative Methods
Mathematics-B.S., June 1996
- Cukurova University, Adana, TURKEY
- Minor degree in Education, June 1996
Professional Experience
- Associate Professor, Florida Institute of Technology, Melbourne, FL, August 2023 - present
- Assistant Professor, Florida Institute of Technology, Melbourne, FL, August 2015 - July 2023
- Assistant Professor, Department of Mathematics, Embry-Riddle Aeronautical University, Daytona Beach, FL, August 2012 - May 2015
- Adjunct Professor, Department of Mathematical Sciences, Florida Institute of Technology, Melbourne, FL, August 2011 - May 2012
- Visiting Researcher/Postdoc, RUTCOR, Rutgers Center for Operations Research, Piscataway, NJ, August 2007 - June 2010
- Faculty, School of Economics and Administrative Sciences, Akdeniz University, Antalya, TURKEY, December 2006 - January 2009
- Graduate/Teaching Assistant, Rutgers, The State University of New Jersey, Piscataway, NJ, January 2000 - December 2006
- Research/Teaching Assistant, School of Economics and Administrative Sciences, Akdeniz University, Antalya, TURKEY, September 1996 - December 1999
Additional Duties
Referee
- Annals of Operations Research (ANOR)
- Discrete Applied Mathematics (DAM)
- Communications in Statistics – Theory and Methods
- Society for Industrial Engineering and Applied Mathematics (SIAM) M3 MathWorks Math Modeling Challenge for High School Students, 2014-present
Member
- University Aviation Association
- Institute for Operations Research & the Management Sciences
- Society for Industrial and Applied Mathematics
Co-Organizer
- Mini-Symposium: Mathematical Analysis of Liquid Drop, Crowdsourcing, and Data Mining, 38th Annual SIAM Southeastern Atlantic Section Conference, March 29-30, 2014
Outreach Activities
Instructor
- GE Girls in STEM Summer Program, 2018-2019 - funded by General Electric, Melbourne, FL
- Girls in Engineering, Sciences and Math (GEMS) Summer Program, 2018-2019 - partially funded by Collins Aerospace
Science Fair Judge
- Freedom 7 Elementary Science Fair, 2020
Current Courses
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Semester |
Course Title |
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Spring 2023 |
AVS 5000 Quantitative Reasoning and Modeling |
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AVS 6001 Theories and Theoretical Models Applied to Aviation Research |
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AVS 6100 Applied Multiple Regression & Correlation Analysis for Aviation Research |
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Fall 2022 |
AVS 5430 Strategic Analysis in Aviation |
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AVS 6000 Quantitative Research in Aviation |
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AVS 6900 Research Practicum |
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Summer 2022 |
AV6310 Special Topics Seminar |
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Spring 2022 |
AVS 5000 Quantitative Reasoning and Modeling |
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AVS 6001 Theories and Theoretical Models Applied to Aviation Research |
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AVS 6100 Applied Multiple Regression & Correlation Analysis for Aviation Research |
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Fall 2021 |
AVS 4999 Aviation Systems Safety |
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AVS 5430 Strategic Analysis in Aviation |
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AVS 6000 Quantitative Research in Aviation |
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Summer 2021 |
SYS 5365 Decisions & Risk Analysis (L3Harris Graduate Program) |
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SYS 5370 Research Methods in Systems Engineering (Northrop Grumman Level Up Program) |
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Spring 2021 |
CSE 1400 Applied Discrete Mathematics / MTH 2051 Discrete Mathematics (cross-listed) |
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SYS 5370 Research Methods in Systems Engineering |
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ORP 5899 Final Thesis |
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ORP 6999 Dissertation Research |
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Fall 2020 |
CSE 1400 Applied Discrete Mathematics (Section 01) |
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CSE 1400 Applied Discrete Mathematics (Section 02) MTH 2051 Discrete Mathematics (cross-listed) |
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SYS 5365 Decisions & Risk Analysis (Northrop Grumman Level Up Program) |
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SYS 5370 Research Methods in Systems Engineering (Northrop Grumman Level Up Program) |
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ORP 6999 Dissertation Research |
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SYS 5999 Thesis |
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Summer 2020 |
SYS 5370 Research Methods in Systems Engineering (Northrop Grumman Level Up Program) |
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SYS 5370 Research Methods in Systems Engineering (L3Harris Graduate Program) |
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Spring 2020 |
SYS 5365 Decisions & Risk Analysis (Northrop Grumman Level Up Program) |
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SYS 5380 Systems Engineering Design Project |
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MTH 6050 Research in Applied Mathematics |
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Fall 2019 |
CSE 1400 Applied Discrete Mathematics / MTH 2051 Discrete Mathematics (cross-listed) |
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MTH 4320 Neural Networks / MTH 5320 Neural Networks (cross-listed) |
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SYS 5365 Decisions & Risk Analysis (Northrop Grumman Level Up Program) |
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SYS 5370 Research Methods in Systems Engineering (Northrop Grumman Level Up Program) |
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SYS 5380 Systems Engineering Design Project |
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SYS 5999 Thesis |
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ORP 5999 Thesis Research |
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Summer 2019 |
SYS 5370 Research Methods in Systems Engineering (Northrop Grumman Level Up Program) |
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Spring 2019 |
SYS 5365 Decisions & Risk Analysis (Northrop Grumman Level Up Program) |
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SYS 5380 Systems Engineering Design Project |
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SYS 5999 Thesis |
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SYS 5495 Special Topics in Systems Engineering (Independent Study) |
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Fall 2018 |
SYS 5365 Decisions & Risk Analysis (Northrop Grumman Level Up Program) |
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SYS 5385 Systems Life Cycle Cost Estimation |
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Summer 2018 |
SYS 5370 Research Methods in Systems Engineering (Northrop Grumman Level Up Program) |
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Spring 2018 |
ENM 5200 Project Engineering / SYS 4200 Project Engineering (cross-listed) |
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ENM 5330 Engineering Operations & Logistics |
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ENM 5420 Tech Commercial Strategy |
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Fall 2017 |
ENM 5330 Engineering Operations & Logistics |
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ENM 5420 Tech Commercial Strategy |
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SYS 5365 Decisions & Risk Analysis (Northrop Grumman Level Up Program) |
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Spring 2017 |
ENM 5200 Project Engineering / SYS 4200 Project Engineering (cross-listed) |
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ENM 5330 Engineering Operations & Logistics |
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Fall 2016 |
ENM 5200 Project Engineering / SYS 4200 Project Engineering (cross-listed) |
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ENM 5330 Engineering Operations & Logistics |
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SYS 5365 Decisions & Risk Analysis |
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Spring 2016 |
ENM 5200 Project Engineering / SYS 4200 Project Engineering (cross-listed) |
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ENM 5330 Engineering Operations & Logistics |
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Fall 2015 |
ENM 5100 Quality Engineering / ORP 5040 Quality Assurance / SYS 4100 Quality Engineering (cross-listed) |
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ENM 5200 Project Engineering / SYS 4200 Project Engineering (cross-listed) |
Selected Publications
Publications
- G. Ye, P.T. Gamage, V. Balasubramanian, J.K. Li, E. Subasi, M.M. Subasi, and M. Kaya (2023). Short-Term Risk Estimation and Treatment Planning for Cardiovascular Disease Patients after First Diagnostic Catheterizations with Machine Learning Models. Applied Sciences 2023, 13(8):5191. http://doi.org/10.3390/app13085191
- T.C. Bain, E. Subasi, and M.M. Subasi (2022). Pattern-based Survival Analysis and Its Application to Medicine. Submitted to Annals of Operations Research. Under review
- M. Binmahfoudh, E. Subasi, and M.M. Subasi (2022). An Optimization based Approximation of Critical Path Length in Program Evaluation Review Technique (PERT). Submitted to Annals of Operations Research. Under revision
- T. Alharbi, A. Ninh, E. Subasi, and M.M. Subasi (2022). The Value of Shape Constraints in Discrete Moment Problems: A Review and Extension, Annals of Operations Research.
- E.T. Attar, V. Balasubramanian, E. Subasi, and M. Kaya (2021). Stress Analysis Based on Simultaneous Heart Rate Variability and EEG Monitoring, IEEE J Transl Eng Health Med. 9: 2700607, 2021.
- B. Kutt, R. Burdorf, T. Bain, N. Cameron, A. Pearah, E. Subasi, D. Carroll, L. Moore, and M.M. Subasi (2021). Identification of Prognostic Biomarker Candidates Associated with Melanoma Using High-Dimensional Genomic Data, Frontiers in Genetics.
- M.M. Moreno, T.C. Bain, M.S. Moreno, K.C. Carroll, E.R. Cunningham, Z. Ashton, R. Poteau, E. Subasi, M. Lipkowitz, and M.M. Subasi (2021). Identifying Clinical and Genomic Features Associated with Chronic Kidney Disease, Frontiers in Big Data-Medicine and Public Health 3, 47-56.
- N. Alreshidi, M. Mrad, E. Subasi, and M.M. Subasi (2020). Two-Stage Bond Portfolio Optimization & Its Application to Saudi Sukuk Market, Annals of Operations Research 288, 1-43.
- T.C. Bain, J.F. Avila-Herrera, E. Subasi, and M.M. Subasi (2020). Logical Analysis of Multiclass Data with Relaxed Patterns, Annals of Operations Research 287, 11-35.
- N. Rakala, E. Subasi, and M.M. Subasi (2020). Evolutionary Feature Selection for Machine Learning, Proceedings of SAS Global Forum 2020, March 29-April 1, 2020, Washington, DC. (N. Rakala was among 13 students selected as 2020 Student Ambassadors)
- E. Subasi, M.M. Subasi, and A. Binmahfoudh, A. Prékopa (2018). Sharp Bounds for Probability that Exactly k-out-of-n Events Occur with Unimodal Distributions, Annals of Operations Research.
- M. Alharbi, E. Subasi, and M.M. Subasi (2018). New Sufficient Conditions for Strong Unimodality of Multivariate Discrete Distributions, Discrete Applied Mathematics 237, 1-25.
- T.C. Bain*, J.F. Avila-Herrera, E. Subasi, and M.M. Subasi (2018). Logical Analysis of Multiclass Data with Relaxed Patterns, 2018 International Symposium on Artificial Intelligence & Mathematics, Fort Lauderdale, FL.
- E. Subasi, M.M. Subasi, P.L. Hammer, J. Roboz, V. Anbalagan, and M.S. Lipkowitz (2017). A Classification Model to Predict the Rate of Decline of Kidney Function, Frontiers in Medicine 4, 97-106.
- M.M. Subasi, E. Subasi, A. Binmahfoudh, and A. Prékopa (2017). New Bounds for the Probability that at Least k-out-of-nEvents Occur with Unimodal Distributions, Discrete Applied Mathematics 226, 138-157.
- M.M. Subasi, M.S. Moreno, T.C. Bain, M.M. Moreno, E. Subasi, K. Carroll, E. Cunningham, and M.S. Lipkowitz (2016). Pattern-based Classification and Survival Analysis of Chronic Kidney Disease, 2016 International Symposium on Artificial Intelligence and Mathematics, Fort Lauderdale, FL.
- E. Subasi, M.M. Subasi, J. Roboz, V. Anbalagan, M.S. Lipkowitz, and P.L. Hammer (2016). A Classification Model to Predict the Rate of Decline of Kidney Function, International Symposium on Artificial Intelligence and Mathematics, Fort Lauderdale, FL.
- T.A. Smith, E. Subasi, and A.M. Rattansi (2014). A Regression Model to Investigate the Performance of Black-Scholes using Macroeconomic Predictors, International Journal of Mathematics Trends and Technology 5, 108-111.
- M.M. Subasi, E. Subasi, M. Anthony, and P.L. Hammer (2012). A New Imputation Method for Incomplete Binary Data, 2012 International Symposium on Artificial Intelligence and Mathematics, Fort Lauderdale, FL.
- 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.
- E. Subasi, M.M. Subasi, and A. Prékopa (2009). On Strong Unimodality of Multivariate Discrete Distributions, Discrete Applied Mathematics 157 (2), 234-246.
- M.M. Subasi, E. Subasi, M. Anthony, and 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. Prékopa (2009). Discrete Moment Problems with Distributions Known to be Unimodal, Mathematical Inequalities and Applications 12 (3), 587-610.
- M.M. Subasi, E. Subasi, and A. Prékopa (2009). Maximization of a Strongly Unimodal Multivariate Discrete Distribution, Rutgers Center for Operations Research (RUTCOR) Research Report, RRR 12-2009.
- M.M. Subasi, E. Subasi, M. Anthony, and P.L. Hammer (2009). A new imputation method for incomplete binary data, Rutgers Center for Operations Research (RUTCOR) Research Report, RRR 15-2009.
- A. Prékopa, 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
- A. Prékopa, M.M. Subasi, and E. Subasi (2008). Sharp Bounds for the Probability of the Union of Events under Unimodality Condition, Rutgers Center for Operations Research (RUTCOR) Research Report, RRR 1-2008.
- E. Subasi, M.M. Subasi, and A. Prékopa (2007). Discrete Moment Problems with Distributions Known to be Unimodal, Rutgers Center for Operations Research (RUTCOR) Research Report, RRR 15-2007.
- E. Subasi, M.M. Subasi, and A. Prékopa (2006). Sharp Bounds for Probabilities with Given Shape Information, Rutgers Center for Operations Research (RUTCOR) Research Report, Report RRR 4-2006.
- M. Anthony, P.L. Hammer, E. Subasi, and M.M. Subasi (2005). Using a Similarity Measure for Credible Classification, Rutgers Center for Operations Research (RUTCOR) Research Report, Report RRR 39-2005.
- E. Subasi, M.M. Subasi, and A. Prékopa (2005). Discrete Moment Problem with the Given Shape of the Distribution, Rutgers Center for Operations Research (RUTCOR) Research Report, Report RRR 41-2005.
- E. Subasi, M.M. Subasi, and A. Prékopa (2004). On Strong Unimodality of Multivariate Discrete Distributions, Rutgers Center for Operations Research (RUTCOR) Research Report, Report RRR 47-2004.
Presentations in Invited Sessions
- M. Subasi, E. Subasi, and M. Lipkowitz, A Mathematical Model to Predict the Progression of Kidney Disease, Whitaker Center STEMinar, Florida Gulf Coast University, Fort Myers, FL, February 1, 2019.
- Rakala, E. Subasi, and M.M. Subasi, Multi-Objective Logical Analysis of Data and Its Applications in Medicine, 2nd International Conference on Mathematics of Data Science (ICMDS 2018), Norfolk, Virginia, November 2-4, 2018.
- Rakala, E. Subasi, and M.M. Subasi, Multi-Objective Logical Analysis of Data and Its Applications in Medicine, Fall Central Sectional Meetings, Special Session: Mathematics of the Genome, Michigan University, Ann Arbor, Michigan, October 20-21, 2018.
- Frandson, A. Saxena, D. Carroll, E. Subasi, L. Moore, and M.M. Subasi, Gene Expression and Melanoma Drug Resistivity, 2018 Posters on the Hill Conference, Washington, D.C., April 17-18, 2018. (Selected as one of the 60 projects among 500+ applications)
- T.C. Bain, M.S. Moreno, M.M. Subasi, and E. Subasi, Combinatorial Survival Patterns, INFORMS 2017 Healthcare Conference, Rotterdam, Netherlands, July 26-28, 2017.
- M.S. Moreno, T.C. Bain, E. Subasi, and M.M. Subasi, Pattern-Based Survival Analysis of Chronic Kidney Disease, INFORMS 2015 Healthcare Conference, Nashville, Tennessee, July 29-31, 2015.
- J.F. Avila-Herrera, E. Subasi, and M.M. Subasi, An Extension of Logical Analysis of Data to Multi-class Classification and Its Applications, 38th Annual SIAM Southeastern Atlantic Section Conference, Melbourne, Florida, March 29-30, 2014.
- R. Poteau, M.S. Lipkowitz, E. Subasi, and M.M. Subasi, Mathematical Approach to Predict the Progression Rate of Chronic Kidney Disease, 27th NCUR, La Crosse, WI. April 11-13, 2013.
- J.F. Avila-Herrera, E. Subasi, M.M. Subasi, M. Lipkowitz, Logical Analysis of Data and Its Application to Chronic Kidney Disease, Congresso Internacional de Bioinformatica y Biologia Sistemas, San Jose, Costa Rica, March 28-30, 2012.
- M.M. Subasi, E. Subasi, J.F. Avila-Herrera, M.K. Jeong, N. Kim, M. Lipkowitz, Orthogonal Signal Correction and Wavelet based Logical Analysis of Data Model, INFORMS Annual Meeting, Charlotte, North Carolina, November 13-16, 2011.
- E. Subasi, M.M. Subasi, and A. Prékopa, Sharp Bounds for the Distribution of Critical-Path Length, INFORMS Annual Meeting, Austin, Texas, November 7-10, 2010.
- E. Subasi, M.M. Subasi, M. Lipkowitz, M. Subasi, V. Anbalagan, W. Zhang, P.L. Hammer, J. Roboz and the AASK Investigators, Logical Analysis of Data (LAD) Model to Predict Rate of Decline of Kidney Function, INFORMS Annual Meeting, Austin, Texas, November 7-10, 2010.
- M. M. Subasi, E. Subasi, and A. Prékopa, An Application of the Discrete Moment Problem to Insurance Problem, INFORMS Annual Meeting, San Diego, California, October 11-14, 2009.
- M.M. Subasi, E. Subasi, and A. Prékopa, An Application of the Discrete Moment Problem to An Insurance Problem, Fifth Rutgers-Stevens Workshop Optimization of Stochastic Systems, New Brunswick, New Jersey, March 20-21, 2009.
- M. Lipkowitz, M.M. Subasi, E. Subasi, V. Anbalagan, W. Zhang, P.L. Hammer, J. Roboz and the AASK Investigators, Logical Analysis of Data (LAD) applied to Mass Spectrometry Data to Predict Rate of Decline of Kidney Function, DIMACS - RUTCOR Workshop on Boolean and Pseudo-Boolean Functions in Memory of Peter L. Hammer, Rutgers University, New Brunswick, New Jersey, January 19-22, 2009.
- M. Anthony, P.L. Hammer, E. Subasi, and M.M. Subasi, Using a Boolean Similarity Measure in Machine Learning, The 2008 UK Workshop on Computational Intelligence, De Montfort University, Leicester, September 4, 2008. Plenary Talk
- M. Anthony, P.L. Hammer, E. Subasi, and M.M. Subasi, Using a Boolean Similarity Measure in Machine Learning, Expert Workshop on Boolean Functions in Memory of Peter L. Hammer, The Caesarea Rothschild Institute for Interdisciplinary Applications of Computer Science, University of Haifa, Israel, January 28-31, 2008.
- E. Subasi, M.M. Subasi, and A. Prékopa, Discrete Moment Problem with Given Shape of the Distribution, Twelfth Annual International Conference on Statistics, Combinatorics, Mathematics and Applications, Auburn, Alabama, December 2-4, 2005.
- M.M. Subasi, E. Subasi, and A. Prékopa, On Strong Unimodality of n-Dimensional Discrete Distributions, Twelfth Annual International Conference on Statistics, Combinatorics, Mathematics and Applications, Auburn, Alabama, December 2-4, 2005.
- P.L. Hammer, M. Anthony, E. Subasi, and M.M. Subasi, Data Similarity, Imputation and Outliers, INFORMS Annual Meeting, San Francisco, California, November 13-16, 2005.
- E. Subasi, M.M. Subasi, and A. Prékopa, On strong unimodality of n-dimensional discrete distributions, Third Rutgers-Stevens Workshop on Optimization of Stochastic Systems, New Brunswick, New Jersey, September 2005.
Conference Presentations in Contributed Sessions
- R.K. Pakalapati, S. Earles, E. Subasi, and M.V.K. Pakalapati, Quantum Random Number Generator based on Quantum Jitter of Single Photon Avalanche Photodiode, Single Photon Workshop, Milan, Italy, October 21-25, 2019.
- N. Rakala, E. Subasi, and M.M. Subasi, Logical Analysis of Data using Multi-Objective Optimization, Joint Mathematics Meetings, Baltimore, MA, January 16-19, 2019.
- N. Alreshidi, E. Subasi, and M.M. Subasi, Two-Stage Bond Portfolio Optimization under Different Scenarios, INFORMS Annual Meeting, Phoenix, Arizona, November 4-7, 2018.
- N. Rakala, E. Subasi, and M.M. Subasi, Multi-Objective Extension to Logical Analysis of Data and Its Applications in Medicine, Joint Mathematics Meetings, San Diego, California, January 10-13, 2018.
- T. Alharbi, E. Subasi, and M.M. Subasi, Sufficient Conditions for Logconcavity of Multivariate Discrete Distributions, SIAM Annual Conference, July 10-14, 2017.
- M.M. Subasi, E. Subasi, A. Binmahfoudh, and A. Prékopa, New Bounds for the Probability that at Least k-out-of-n Events Occur with Unimodal Distributions, SIAM Annual Conference, July 10-17, 2017.
- E. Subasi, M.M. Subasi, and M. Lipkowitz, A Classification Model to Predict the Progression of Chronic Kidney Disease, INFORMS Annual Meeting, Minneapolis, Minnesota, October 6-9, 2013.
- M.M. Subasi, E. Subasi, and A. Prékopa, Maximization of a Strongly Unimodal Multivariate Discrete Distribution, INFORMS Annual Meeting, Pittsburgh, Pennsylvania, November 4-7, 2006.
- E. Subasi, M.M. Subasi, and A. Prékopa, Sharp Bounds for Probabilities in a Distribution with Given Shape Information, INFORMS Annual Meeting, Pittsburgh, Pennsylvania, November 4-7, 2006.
- E. Subasi, M.M. Subasi, and A. Prékopa, Discrete Moment Problem with Given Shape of the Distribution, INFORMS Annual Meeting, San Francisco, California, November 13-16, 2005.
Recognition & Awards
Funded Projects
- NSF MRI: Acquisition of a High-Performance GPU/CPU Cluster for Research and Innovation in Computational Sciences and Engineering, $398,945 (NSF), $170,976 (Florida Tech Match), 10/01/2020-09/20/2023, PI: M. Baarmand, Co-PIs: P. Chan, D. Mitra, R. Peverati, M.M. Subasi, Senior Personnel: S. Lazarus, M. Silaghi, E. Subasi, M. Zhang
- NSF REU Site: Research at the Intersection of Biology & Mathematics, $319,233, NSF, 2014-2018, PI: D. Carroll, Co-PI: M.M. Subasi, Senior Personnel: M. Bush, J. Dshalalow, J. Du, E. Guisbert, L. Moore, N. Nezamoddini-Kachouie, A. Palmer, C. Pruett, Subasi, R. van Woesik, Number of Students Supported: 32 interns (seven Florida Tech undergrads)
- Pattern Based Risk and Reliability Analysis, $5,000, College of Aeronautics, Florida Institute of Technology, 2022 Institutional Research Incentive Program, PI: Subasi
- Towards Efficient Storage and Transfer of Data on Blueshark for Data-intensive Research, $35,815, 2021 Institutional Research Incentive Program, College of Engineering and Science, Florida Tech, PIs: Ray (OEMS-Meteorology), E. Nikolopoulos (MCE-Civil Engineering), G. Anagnostopoulos (CES-Computer Engineering), C. Bostater (OEMS- Environmental Science), W. Gao (MCE-Mechanical Engineering), S. Lazarus (OEMS-Meteorology), D. Pahinkar (MCE-Mechanical Engineering), M. Splitt (College of Aeronautics), E. Subasi (CES-Systems Engineering), M.M. Subasi (Mathematical Sciences) R. Weaver (OEMS-Ocean Engineering), G. Zarillo (OEMS-Oceanography)
- Embry-Riddle Aeronautical University, Faculty Development Grant, $12,000, June 2013-2014, PI: Subasi, Co-PI: H. Liu
- Embry-Riddle Aeronautical University, Summer Research Grant, $5,000, Summer 2013, PI: Subasi
Scholarships
Rutgers, The State University of New Jersey, Piscataway, NJ, USA
- Research/Teaching Assistantship, 2004-2006
- Supported by National Science Foundation and National Institutes of Health Research Grants
Akdeniz University, Antalya, TURKEY
- Scholarship awarded by Turkish Higher Education Council for graduate study, 2000-2004
- Research/Teaching Assistantship, 1996-2000
Research
Student Advising and Research Supervision
- Academic advisor for 39 students in COA AvD and Aviation Sciences-Ph.D. Programs
- Chris Sidor, AvD Student, College of Aeronautics
- Major Advisor
- Pre-proposal stage
- Melissa S. Moreno, Ph.D. Student, Operations Research
- Major Advisor
- Dissertation Research: Pattern-Based Survival Model and Its Application to Medicine
- Pre-proposal stage
- M. Megan Moreno, M.S., Operations Research
- S. Thesis Advisor,
- Thesis Title: Identifying Clinical and Genomic Factors Associated with Chronic Kidney Disease
- Date of Graduation: December 2020
- Ayushi Saxena & Brenna Frandson
- 2017 NSF BioMath REU Interns
- Project Title: Gene Expression and Melanoma Drug Resistivity
- Co-Advisors: M.M. Subasi, L. Moore, D. Carroll, and E. Subasi
- Katie Carroll & Emily Cunningham
- 2016 NSF BioMath REU Interns
- Project Title: Pattern-based Classification and Survival Analysis of Chronic Kidney Disease
- Co-Advisors: M.M. Subasi and E. Subasi
- Roby Poteau, Mathematical Sciences, Undergraduate Research Advisee
- Project Title: A Mathematical Approach to Predict the Progression of Chronic Kidney Disease
- President’s Award – Science, 2012 Northrop Grumman Senior Design Showcase
- Co-Advisors: M.M. Subasi, E. Subasi, and M.S. Lipkowitz (Georgetown University Medical Center)
Research Areas
- Operations Research
- Machine Learning
- Optimization
- Probabilistic Constrained Programming
- Stochastic Programming
- Probability Bounding Problem
- Data Mining
- Financial Mathematics