• Doctor of Philosophy, 2018, Georgia Institute of Technology, Atlanta, GA, USA
• Master of Science, Aerospace Engineering, 2010, Georgia Institute of Technology, Atlanta, GA, USA
• Bachelor of Science, Aerospace Engineering, 2007, Georgia Institute of Technology, Atlanta, GA, USA

Interests

• Systems of Systems Studying, analyzing, and visualizing the cooperative aspects, system architectures, and capabilities, composable models
• Statistical Methods Use of Monte Carlo simulations, point estimators, and linear, non linear, and non-parametric regression in a systems design context
• Design Space Exploration Use of interactive visualization techniques paired with machine learning models to explore entire design and performance spaces for systems
• Decision Making Decision making methods relating to early system design, model-based systems engineering, design process improvements
• Manufacturing Investigate interactions between manufacturing processes in a factory, statistical and mechanical root-causes for cycle time variations
• Computer Simulations Research on mathematical graphs, Markov chains, Petri nets, discrete event, cellular automata, agent-based models
• Multi-Disciplinary Analysis and Optimization Connecting analyses with their systems engineering representations such that the analysis process can be managed from within Systems Engineering

Instructor

• AE6393: Introduction to System of Systems Engineering Principles
  • I have designed this course together with Dr. Griendling in 2012 and have been involved in teaching it 50–90% ever since. The name and numbers have varied over the year; however, it is known as the “System of Systems” course by the students.
• AE6394: System of Systems Engineering Applications
  • This course grew out of the “System of Systems” course as the follow-on course. Students take both to complete their System of Systems Grand Challenges.

Guest Lecturer

• AE3310 Vehicle Performance (2014)
• AE3340 Design & Systems Engineering Methods (2018)
• AE6373 Advanced Design Methods I
  • As part of my teaching assistantship, I gave 9–12 hours of lectures each year (2011–2013)
  • Since 2014, I was invited to give about 3–9 hours of lectures each year to date

Teaching Assistantship

• AE6343 Aircraft Design I (2011–2013)
• AE6344 Aircraft Design II (2012–2014)
• AE6373 Advanced Design Methods I (2011–2013)
• AE6383 Applied Design Laboratory (2011–2013)
• AE8900MAV Special Problems (2012–2014)
• AE8801 Introduction to System of Systems Engineering Principles Laboratory (2013)
• AE8803MAV Introduction to System of Systems Engineering Principles (2012–2016)
• AE8804 System of Systems Engineering Applications (2014 and 2018)

Thesis

B. Bagdatli, “Architecture-based selection of modeling type for system of systems analysis, ” Ph.D. dissertation, School of Aerospace Engineering, Georgia Institute of Technology, Atlanta, GA, USA, Aug 2018. Available online.

Abstract

A methodology for selecting computer modeling methods for system of systems problems was proposed. Two hypotheses were stated and supported by subsequent experimentation: “system architectures are very closely related to conceptual models” and “depending on the architecture views deemed to be essential to describe a system of systems, there are a number of modeling techniques required to adequately model it”. The experiments were conducted in a systematic fashion using “element maps” that connect system of systems architecture elements to computer modeling elements. These element maps were developed to provide a repeatable scaffold in the translation of architectures into executable models. Using the element maps, eleven tests were performed on four different architectures varying in size and purpose. A process flow is designed and detailed that helps system of systems engineers with selecting computer modeling types and translating architectures into conceptual models that can be implemented in any computer language.

Publications

• Bagdatli, B., Cimtalay, S., Fields, T., Garcia, E., Peak, R. (2022). SysML State of the Art. In: Madni, A.M., Augustine, N., Sievers, M. (eds) Handbook of Model-Based Systems Engineering. Springer, Cham. doi: 10.1007/978-3-030-27486-3_13-1
• F. Karagoz, B. Bagdatli, Y. Cai, and D. N. Mavris, “Interactive Model-based Environment for Aircraft Family Conceptual Design Decisions,” AIAA Scitech Forum, 2021, doi: 10.2514/6.2021-0092.
• T. Puranik, A. Gharbi, B. Bagdatli, O. P. Fischer, and D. N. Mavris, “Benchmarking Deep Neural Network Architectures for Machining Tool Anomaly Detection,” ASTM International, vol. 4, no. 2, pp. 121–145, 2020, doi: 10.1520/SSMS20190039.
• B. Bagdatli, F. Karagoz, K. A. Reilley, and D. N. Mavris, “MBSE-enabled Interactive Environment for Aircraft Conceptual Sizing & Synthesis,” AIAA Scitech Forum, San Diego, CA, 2019, doi: 10.2514/6.2019-0497.
• B. Bagdatli, K. Griendling, and D. Mavris, “Challenges for simulating stochastic behavior in systems of systems,” INCOSE Insight, 15(2), Jul., pp. 29–31, 2012, doi: 10.1002/inst.201215229.
• B. Bagdatli and D. Mavris, “Use of high-level architecture discrete event simulation in a system of systems design,” 2012 IEEE Aerospace Conference, 2012, pp. 1–13, doi: 10.1109/AERO.2012.6187442.
• B. Bagdatli et al., “A method for examining the impact of interoperability on mission performance in a system-of-systems,” 2010 IEEE Aerospace Conference, 2010, pp. 1-15, doi: 10.1109/AERO.2010.5446884.

Contribution to Technical Reports

• ICAO Committee on Aviation Environmental Protection, “Appendix M3 Technology” in Report on the feasibility of a long-term aspirational goal (LTAG) for international civil aviation CO2 emission reductions, Appendix M3, 2022. Available online.