2018 Challenge Competition Contestants!

Molly Atwater

Molly Atwater is a graduate student at William & Mary pursuing a degree in Computational Operations Research. She graduated Summa Cum Laude from William & Mary with a Bachelor’s Degree in Applied Mathematics. Though her coursework has exposed her to topics such as network analysis, linear regression, machine learning, and statistics, she has particularly enjoyed her courses in simulation. She has used her Operations Research knowledge most notably as an intern with CSX Transportation in Jacksonville, Florida, where she spent a summer analyzing CSX’s locomotive fleet and introduced a new metric to measure weekly utilization. Following graduation, she has accepted a position as a data scientist for BetaPrime Consulting, a small contracting firm in Washington, D.C.

Christopher Schultz

Christopher Schultz Christopher Schultz is a senior at Bishop Moore Catholic High School in Orlando, Florida. He plans to attend Fordham University at Lincoln Center in New York City, majoring in both computer science and economics, with a minor in history. Christopher has always been passionate about programming, joining the programming team during his sophomore year of high school and winning numerous competitions across the country. A pragmatic thinker, Christopher has always enjoyed applying algorithmic explanations to commonplace issues to hopefully improve modern lifestyles.

Lawrence Stempkowski

Lawrence Stempkowski is a senior at Bishop Moore Catholic High School. Being interested in audio/visual technologies and computer science, Lawrence is pursuing degrees in both of these subjects. He is attending Stetson University starting in the Fall of this year. Lawrence has also been a member of the programming team since sophomore year, participating in competitions on local, state, and national levels. An avid outdoorsman, Lawrence is a proud member of the Boy Scouts of America, obtaining his Eagle Scout rank in September of 2016. He also serves as a Camp Staff and Operations Team member for the Central Florida Boy Scouts, able to assist in supporting the program for multiple thousands of youth annually. Lawrence hopes to pursue a career in the Audio/Visual field, or in professional Scouting.

Gul Ayaz

Gul Ayazis currently a student at Old Dominion University Engineering and is pursuing an undergraduate degree in Modeling, Simulation, and Visualization Engineering. Her current interests within the field include its application to gaming and entertainment. She hopes to help continue expanding upon current advancements using mixed realities in the entertainment industry specifically from a graphical standpoint. She also takes interest in virtual and augmented realities application in the medical field and has assisted in research and creating a prototype for visually impaired individuals as part of a project.

Gheramy Guzman

Gheramy Guzman is a freshman student pursuing a degree in Modeling, Simulation, and Visualization Engineering at Old Dominion University. He is also a mentor for students in the Marie A Mansbach Memorial Student Motivation Program—a program to help mentees build a strong academic foundation. Gheramy Guzman takes part in various clubs around campus which include Every Nation Campus Ministries, ODU Craftsman’s Club, and the Filipino American Student Association.

2018 Challenge Competition Judges!

James (Jim) Leathrum, Jr., Ph.D.

James (Jim) Leathrum, Jr., Ph.D., is an Associate Professor of the Department of Modeling, Simulation and Visualization Engineering at Old Dominion University. He holds a Ph.D. in electrical engineering from Duke University. His research interests include discrete-event simulation, distributed simulation, simulation architectures, and their applications. His e-mail address is jleathru@gmail.com.

John Rice

John Rice is an eclectic behavioral scientist who is currently “retired” from over 40 years of modeling and simulation related employment in education, defense and healthcare. Most recent employment (2016-17) was part-time as a Senior Advisor for M&S to the Dept of Homeland Security Office of Science and Technology. He remains extremely active in numerous voluntary leadership and supporting roles in many M&S organizations and conferences where his primary interest in the application of M&S to healthcare and medical research and in human factors and systems engineering. He is a Member Emeritus in the DOD HFE Technical Advisory Group where he lead the formation of, and chaired the Human M&S SubGroup, is currently a member of the Whitehouse Office of Science and Technology Pandemic Prediction and Forecasting Working Group, and maintains an active network with senior M&S stakeholders in multiple federal departments and agencies including DOD, DHS, NASA, VHA, NIH, FDA, DOT, USDOA & FAA. He holds PhDs (ABD) in both Special Education Research, and in Instructional Systems Development from Indiana University, Bloomington

M&S Challenge Competition Value Proposition

The challenge should provide the following added value to the M&S community:

  • Contribute a creative solution to help the selected community/industry/business sector.
  • Form a competitive team to create a solution to a real world problem using M&S.
  • Receive recognition/award for your work while helping others.
  • Gain exposure and network amongst M&S professionals, industry and academia.
  • And of course: Bragging rights.

Challenge Competition Problems

Challenge Competition problems need to be compelling and relevant to the community or industry/business sector. While collaboration among academia, government and industry participants is desired it is not required.

Areas of interest (suggested):

  • Cyber Security
  • Crime
  • Flooding/Sea Level Rise (SLR)
  • Health
  • Education
  • Banking
  • Manufacturing
  • Transportation
  • Safety & Justice

Software and Hardware Platforms

The participants may use any simulation platform. The following are suggested by the committee for participant use:

  • MIST (Monte-Carlo)
  • Simio (Discrete Event)

Preliminary Competition Rules

Judging Criteria

Judging is based on two deliverables: written report and project presentation. Both the report and project presentation should include the same material, namely:

Description of the problem

Assumptions, inputs, and outputs – conceptual model, diagrams, equations, etc.

Snapshot of the model – the extent of which will differ between the presentation and the report (i.e. can explain what is happening during a model run in the presentation, but cannot in the report)

Verification and Validation

Analysis of results

Further experimentation performed, if any, outside of the original project description from the abstract


Contact Andy Collins for anything related to the MODSIM World Challenge Competition

Dr. Andrew Collins

E: dr.a.collins@gmail.com

Congratulations to Team SKY, the 2017 Challenge Competition Winner!

Click here to read about their winning project, Simulating the Impact of Sudarshan Kriya Yoga in Hampton Roads!

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