Ivan Garibay -...

Ivan GaribayUniversity of Central Florida

12800 Pegasus Drive, Bldg. 91, Room 424 Orlando FL 32816-2993, USAPhone: (407) 882-1163; Cell: (321) 662-6940;

Website: http://ivan.research.ucf.edu; Email: [email protected]

Curriculum VitaeMarch 19th, 2018

1 BIOGRAPHICAL DATA

1.1 NAME

Ivan I. Garibay

1.2 EDUCATION

Ph.D. in Computer Science, 2000-2004School of Computer Science, University of Central FloridaDissertation title: The Proteomics Approach to Evolutionary Computation: An Analysis of Proteome-based Location Independent Representations Based on the Proportional Genetic Algorithm.

M.Sc. in Computer Science, 1997-2000Computer Science Department, University of Central FloridaThesis title: Automatic Generation of Natural Language Documentation from Statecharts.

P.E. in Electronic Engineering (Professional Engineering license), 1995Electronic Engineering Department, Ricardo Palma University.

B.Sc. in Electronic Engineering, Highest Honors, 1990-1994Electronic Engineering Department, Ricardo Palma University.

Languages: Fluent in English and SpanishU.S. Citizen.

1.3 PROFESSIONAL EXPERIENCE

1.3.1 ACADEMIA

• Assistant Professor, August 2016 - Present, Industrial Engineering and Management Sys-tems, University of Central Florida

• Director, Master of Science in Data Analytics, October 2016 - present, College ofEngineering and Computer Science, University of Central Florida

Curriculum Vitae Ivan Garibay

• Joint Faculty, Computer Science, January 2017 - present, Computer Science Department,University of Central Florida

• Affiliated Faculty, Director of Complex Adaptive Systems Laboratory, November2015 - present, Institute for Simulation and Training, University of Central Florida

• Assistant Research Professor, June 2013 - October 2015, Institute for Simulation andTraining, University of Central Florida

• Joint Faculty, 2012-2013, Institute for Simulation and Training, University of CentralFlorida

• Joint Faculty, 2006-2013, School (now Department) of Electrical Engineering and ComputerScience, University of Central Florida.

• Lecturer, 1995-1997, Electronic Engineering Department, Ricardo Palma University.

1.3.2 INDUSTRY: HIGHER EDUCATION ADMINISTRATION

• Director, Technology & Innovation and Chief Information Officer Research & Com-mercialization Division, 2015-2016, University of Central Florida.

• Director, Research Information Systems and Chief Information Officer for the ResearchDivision, 2009-2015, University of Central Florida.

• Associate Director & Chief Information Officer, 2006-2009, Office of Research andCommercialization, University of Central Florida.

• Assistant Director, 1996-1997, Computer Services and Informatics Office (Oficina Centralde Informatica y Computo), Universidad Ricardo Palma.

2 TEACHING

2.1 COURSES

CourseNumber

CourseTitle

Credits Class Semester# ofStudents

Mean scoreon question9 of Studentsperception ofinstruction

EIN7919-0003

Research 3 Grad Spring 18 7 -

EIN6918-0001

DirectedResearch

3 Grad Spring 18 2 -

EIN7980-0003

Dissertation 3 Grad Spring 18 1 -

EIN7919-0003

Research 3 Grad Fall 17 6 -

MCB4912-0102


2


EIN6918-0001

DirectedResearch

3 Grad Fall 17 2 -

EIN4912-0001


EIN7919-C003

Research 3 Grad Summer 17 2 -

MCB4912-C049

Research 3 Grad Summer 17 2 -

ESI5531-0V61

DiscreteSystemsSimulation

3 Grad Spring 17 12 3.88

ESI5531-0R01

DiscreteSystemsSimulation

3 Grad Spring 17 5 3.33

EIN7919-0018

Research 3 Grad Spring 17 3 -

EIN6918-0059

DirectedResearch


ESI4628DecisionSupportSystems

3 Senior Fall 16 124 3.33

EIN7919-0019


EIN6918-0001

DirectedResearch

3 Grad Fall 16 1 -

IDS7919-C018

DoctoralResearch

3 Grad Summer 16 1 -

IDS6908-0001

IndependentStudy


IDS7919-0022

DoctoralResearch


IDS6908-0005

IndependentStudy

3 Grad Fall 15 1 -

IDS6908-C004

IndependentStudy

3 Grad Summer 15 2 -

2.2 MS THESIS AND Ph.D. DISSERTATIONS

1. Chathika Gunaratne, Ph.D. dissertation major advisor. Source of support: federal grant(DARPA). Dissertation title: “A Novel Agent-Based modeling methodology: EvolutionaryPattern Oriented Modeling”, in progress.

2. Chathurani Senevirathna, Ph.D. dissertation major advisor. Source of support: federalgrant (DARPA). Dissertation title: “Mean-field mathematical modeling of complex systemsdynamics and their agent-based modeling extensions”, in progress.

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3. Milad Talebzadehhosseini, Ph.D. dissertation major advisor. Source of support: federalgrant (NSF). Dissertation title: “Agent-Based models for sustainability: Studying the FloridaSpace Coast”, in progress.

4. Mostafa Saeidi, Ph.D. dissertation major advisor. Source of support: industry grant(Disney). Dissertation title: “Deep Learning for Cyber defense”, in progress.

5. Nisha Baral, Ph.D. dissertation major advisor. Source of support: federal grant (DARPA).Dissertation title: “Innovation Modeling for University Economic Engagement”, in progress.

6. Prateek Basavaraj, Ph.D. dissertation major advisor. Source of support: state grant(BOG). Dissertation title: “Agent-Based Models of Information Spread Across Multiple SocialNetworks”, in progress.

7. Brett Belcher, Ph.D. dissertation major advisor. Source of support: industry grant(Royal Bank of Canada). Dissertation title: “Big Data and Deep Learning for Financial riskManagement”, in progress.

8. Yunus Emre Gene, Ph.D. dissertation major advisor. Source of support: industry grant(Disney). Dissertation title: “Misinformation and fake news: automatic identification usingmachine learning and big data”, in progress.

9. Ramya Akula, Ph.D. dissertation major advisor. Source of support: federal grant(DARPA). Dissertation title: “Agent-Based Models leveraging Deep Learning: new method-ologies for human behavioral modeling”, in progress.

2.3 UNDERGRADUATE HONORS THESIS

None.

2.4 EDUCATIONAL CONTRIBUTIONS

2.4.1 NEW DEGREE PROGRAM DEVELOPMENT: MASTER OF SCIENCE INDATA ANALYTICS

• Master of Science in Data Analytics (MSDA) curriculum development. As the programdirector, I have substantially revised several of the courses in collaboration with the facultyteaching them and the industry advisory board for the program.

• Curriculum developed includes the following courses:

– Network Science

– Statistical Analysis

– Parallel and Cloud Computation

– Text Mining I

– Data Preparation

– Computational Analysis of Social Complexity

– Machine Learning

– Data Mining Methodology I & II

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– Social Media and Network Analysis Interactive Data Visualization

– Machine Learning Methods for Bioinformatics Data

– Parallel and Distributed Databases

– Project in Data Analytics

• MSDA program capstone course development. In collaboration with the MSDA industryadvisory board I have developed the capstone course: Lean Big: Using Lean Methods inEntrepreneurship and Intrapreneurship on Big Data Analytics. This first capstone course isscheduled to be first taught in Spring 2018.

• MSDA internship and co-op program development. In collaboration with the MSDA industryadvisory board subcommittee on internships and co-ops, I am developing a comprehensiveand innovative internship program for all MSDA students. The first cohort of MSDA studentsare available to start internships and coops in Fall 2017.

2.4.2 NEW DEGREE PROGRAM DEVELOPMENT: GRADUATE PROGRAM INDEEP LEARNING

This program is currently being piloted under the sponsorship of Disney. If this pilot meet expec-tations this program will be converted into a custom master program in deep learning.

• As the PI of this effort, I have co-developed the curriculum for the following courses:

– Introduction to Machine Learning

– Deep Learning I

– Deep Learning II

– Capstone on Deep Learning: Lean Launchpad (I-Corps)

2.4.3 ENTERPRENEURSHIP COURSES

Under the National Science Foundation Innovation-Corps (I-Corps) Program:

As part of the NSF funded grant: University of Central Florida I-Corps Sites Program: EnhancingTechnology Commercialization to Develop a World-Class Innovation Ecosystem (ID: 1055907), co-taught UCF I-Corp: Evidence-Based Entrepreneurship class:

• UCF I-Corps: The Lean LaunchPad - Evidence Based Entrepreneurship (co-taughtwith Oscar Rodriguez, Thomas O’Neal) Spring 2018

• MSDA Capstone I-Corps: The Lean Big - Evidence Based Entrepreneurship forBig Data Applications (co-taught with Ozlem Garibay, Oscar Rodriguez, Thomas O’Neal)Spring 2018

• UCF I-Corps: The Lean LaunchPad - Evidence Based Entrepreneurship (co-taughtwith Oscar Rodriguez, Michael O’Donnell , Thomas O’Neal, David Metcalf) Fall 2016

• UCF I-Corps: The Lean LaunchPad - Incubator workshop (co-taught with OscarRodriguez) Summer 2016

• UCF I-Corps: The Lean LaunchPad - Evidence Based Entrepreneurship (co-taughtwith Oscar Rodriguez, Thomas O’Neal, David Metcalf) Spring 2016

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• UCF I-Corps: The Lean LaunchPad - Evidence Based Entrepreneurship (co-taughtwith Thomas O’Neal, Oscar Rodriguez, Michael O’Donnell, David Metcalf, Cameron Ford)Fall 2015

– revised the curriculum , developed “Talking to Humans” module based on Talking toHumans: Success Starts with Understanding Your Customers by Giff Constable, et.al.

• UCF I-Corps: The Lean LaunchPad - Evidence Based Entrepreneurship (co-taughtwith Jerry Engel (Berkeley), Thomas O’Neal, Oscar Rodriguez, Michael O’Donnell, DavidMetcalf, Cameron Ford) Spring 2015

– Secured Jerry Engel, co-creator of the methodology and NSF National Faculty Directorfor the I-Corps program, to inaugurate and to co-teach the inaugural UCF I-Corps class

– Secured National Science Foundation I-Corps Faculty accreditation for entire UCF teach-ing team

– Adapted curriculum from Lean LaunchPad: Evidence Based Entrepreneurship EducatorsGuide by Steve Blank (Stanford), Jerry Engel (Berkeley) and Jim Hornthal (Princeton)

– Course offered to selected teams of Florida faculty, students and mentors

– Textbooks: Startup Owner’s Manual by Blanks and Dorf, Business Model Generationby Osterwalder, et.al.

I-Corps classes are taught as part of the NSF Funded Effort: ”UCF I-Corps Site: enhancingtechnology commercialization to develop a world-class innovation ecosystem”

2.4.4 GRADUATE INSTRUCTION

• Agent-Based Simulation for Innovation Ecosystems, Modeling and Simulation, UCF,Fall 2015

– IDS6908. Directed Independent Study.

• Simulating Innovation, Modeling and Simulation, UCF, Summer 2015

– IDS6908. Directed Independent Study. Textbooks: Simulating Innovation: Computer-based Tools for Rethinking Innovation by Christopher Watts and Nigel Gilbert.

• Complex Adaptive Systems, Computer Science, UCF, Fall 2012

– CAP6675. Adjusted curriculum.

• Complex Adaptive Systems, Computer Science, UCF, Fall 2011

– CAP6675. Developed entirely new curriculum. Textbooks: Complexity: A guided Tourby Melanie Mitchell, Complex and Adaptive Dynamical Systems by Claudius Gros, andThe Computational Beauty of Nature: Computer Explorations of Fractals, Chaos, Com-plex Systems, and Adaptation by Gary William Flake.

• Evolutionary Computation, Computer Science, UCF, Spring 2007

– CAP5512. Developed entirely new curriculum. Textbook: Evolutionary Computation:A Unified Approach by K. De Jong.

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2.4.5 UNDERGRADUATE INSTRUCTION

Under the National Science Foundation Expand EMD-MLR Program:

• Current Topics in Machine Learning II (co-taught with Michael Georgiopoulos), Com-puter Engineering, UCF, Spring 2011EEL4817. Agent-Based Computational Economics.

• Current Topics in Machine Learning I (co-taught with Michael Georgiopoulos), Com-puter Engineering, UCF, Fall 2010EEL4818. Genetic Algorithms

• Current Topics in Machine Learning II (co-taught with Michael Georgiopoulos) , Com-puter Engineering, UCF, Spring 2010EEL4817.

• Current Topics in Machine Learning I (co-taught with Michael Georgiopoulos) , Com-puter Engineering, UCF, Fall 2009EEL4818. Genetic Algorithms


• Current Topics in Machine Learning I (co-taught with Michael Georgiopoulos), Com-puter Engineering, UCF, Fall 2008EEL4818. Genetic Algorithms


• Current Topics in Machine Learning I (co-taught with Michael Georgiopoulos), Com-puter Engineering, UCF, , Fall 2007EEL4818. Coevolution and Evolutionary Game Theory

• Current Topics in Machine Learning II (co-taught with Michael Georgiopoulos), Com-puter Engineering, UCF, Spring 2007EEL4817.

• Current Topics in Machine Learning I (co-taught with Michael Georgiopoulos), Com-puter Engineering, UCF, Fall 2006EEL4818. Genetic Algorithms.EEL4817 and EEL4818 were created as part of the NSF funded effort “Collaborative Research:Building a Community of Learners/Scholars to develop, assess and disseminate EducationalMaterials/Teaching Practices in Machine Learning: Expand EMD-MLR” at UCF.

Courses taught in spanish:

• Introduction to Digital Systems, Electronics Engineering, Universidad Ricardo Palma,Fall 1995

• Introduction to Computer Science, Electronics Engineering, Universidad Ricardo Palma,Spring 1996

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• Foundations on Arithmetic and Logic, Electronics Engineering, Universidad RicardoPalma, Fall 1996

• Introduction to Digital Systems, Electronics Engineering, Universidad Ricardo Palma,Spring 1997

3 RESEARCH INTEREST

3.1 KEY WORDS

Agent-based modeling and simulation, data analytics, big data, deep learning, agent-based com-putational economics, complexity economics, computational social sciences, network science, socialnetwork analysis, evolutionary computation, autonomous agents systems, multi-agents systems,self-organizing systems, innovation ecosystems, innovation driven economic growth, entrepreneur-ship support organizations, entrepreneurship education and STEM education.

3.2 PUBLICATIONS

3.2.1 REFEREED BOOKS AND MONOGRAPHS

None.

3.2.2 REFEREED CHAPTERS AND EDITED BOOKS

1. Garibay, I., Chathika Gunaratne, Niloofar Yousefi, and Steve Scheinert (2018), The Agent-Based Modeling Canvas: A Modeling Lingua Franca for Computational Social Science, Chap-ter in Social-Behavioral Modeling for Complex Systems, Jonathan Pfautz, Paul Davis, andAngel OMahony (Editors), to appear, Wiley.

2. Hollander, Christopher D. and Garibay, I. and O’Neal, Thomas (2013), TransformationNetworks: A study of how technological complexity impacts economic performance, Chapter2 in Managing Market Complexity: The Approach of Artificial Economics, Series: LectureNotes in Economics and Mathematical Systems, Vol. 662; Teglio, A.; Alfarano, S.; Camacho-Cuena, E.; Gins-Vilar, M. (Editors), 2013, Springer.

3. Garibay I. (2010). Dario Floreano and Claudio Mattiussi (eds): Bio-inspired artificial intel-ligence: theories, methods and technologies. Genetic Programming and Evolvable MachinesJournal, 11(3/4), pp. 441-443. (Invited Book Review)

4. Garibay, I., Thomas Jansen, R. Paul Wiegand, Annie S. Wu (Editors): Foundations ofGenetic Algorithms, 10th ACM SIGEVO International Workshop, FOGA 2009, Orlando,Florida, USA, January 9-11, 2009, Proceedings. ACM 2009, ISBN 978-1-60558-414-0 (Book)

5. Garibay, I.(Editor) (2012). Student Papers, Complex Adaptive Systems Class, Fall 2012.Technical Report Number CS-TR-12-05, Complex Adaptive System Laboratory, Universityof Central Florida.

6. Garibay, I.(Editor) (2007). Student Papers, Evolutionary Computation Class, Spring 2007.Technical Report Number CS-TR-07-11, SEECS, University of Central Florida.

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7. Garibay, I.(Editor) (2012). Student Papers, Complex Adaptive Systems Class, Fall 2011.Technical Report Number 101, Complex Adaptive System Laboratory, University of CentralFlorida.

3.2.3 REFEREED JOURNAL PAPERS

1. Lasrado, V., Sivo, S., Ford, C., ONeal, T., and Garibay, I. (2015). Do graduated universityincubator firms benefit from their relationship with university incubators?. The Journal ofTechnology Transfer, pp. 1-15, April, 2015.

2. Amit Goel, Sumit Kumar Jha, Garibay, I., Heinz Schmidt, and David Gilbert (2011). ASurvey of Approaches to Virtual Enterprise Architecture: Modeling Languages, ReferenceModels, and Architecture Frameworks. Journal of Enterprise Architecture, 7(4), pp. 42-51.

3. Garibay I., Wu, A.S., and Ozmen, O. (2006). Emergence of Genomic Self-Similarity inLocation Independent Representations: Favoring Positive Correlations Between the Formand Quality of Candidate Solutions. Genetic Programming and Evolvable Machines, 7(1),pp. 55-80.

4. Wu, A.S., and Garibay, I., (2003). Intelligent Automated Control of Life Support SystemsUsing Proportional Representations. IEEE Transactions on Systems, Man and CyberneticsPart B, 34(3), pp. 1423-1434.

5. Wu, A.S., and Garibay, I., (2002). The Proportional Genetic Algorithm: Gene Expressionin a Genetic Algorithm. Genetic Programming and Evolvable Machines, 3(2), pp. 157-192.

3.2.4 REFEREED PUBLICATIONS IN CONFERENCE PROCEEDINGS

1. Basavaraj, P., and Garibay, I. (2018). A Personalized Course Navigator Based on Students’Goal Orientation. In Proceedings of the 2018 ACM Conference on Supporting Group work,pp. 98-101. ACM.

2. Basavaraj, P., and Garibay, I. (2018). Increasing Student Success by Balancing Students’Academic Load through Personalized Course Recommendations. Presented at 2018 SunshineState Teaching and Learning Conference

3. Talebzadehhosseini, S., and Garibay, I. (2018). A Multi-Agent Simulation Model for Energyand Green Buildings Sustainable Development. To appear in Proceedings of the Institute ofIndustrial and Systems Engineers Annual Meeting, Orlando, FL, 2018

4. Garibay, I., Talebzadehhosseini, S., Astore, C., Borah, L., Torres, K. (2017). An Agent-Based Model to Study the Effects of Epidemiological Factors on Three Common InfluenzaStrain’s Virulence. To appear in Proceedings of the Computational Social Sciences conference,Santa Fe, NM, 2017. ACM

5. Gunaratne, C., and Garibay, I.(2018). Evolutionary Model Discovery of Factors for FarmSelection by the Artificial Anasazi. arXiv preprint arXiv:1802.00435. To appear in Proceed-ings of the Computational Social Sciences conference, Santa Fe, NM, 2017. ACM

6. Gunaratne, C., and Garibay, I. (2017, July). Alternate social theory discovery using geneticprogramming: towards better understanding the artificial anasazi. In Proceedings of theGenetic and Evolutionary Computation Conference pp. 115-122. ACM.

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7. Garibay, I., Gunaratne, C., Akbas, M. I., and Ozmen, O. The Importance of Product SpaceComplexity in Agent-Based Computational Economics. In Proceedings of the ComputationalSocial Sciences Society of the Americas, Santa Fe, NM, 2016

8. Gunaratne, C., Akbas, M. I., Garibay, I., and Ozmen, O. (2016). Evaluation of Zika VectorControl Strategies Using Agent-Based Modeling. arXiv preprint arXiv:1604.06121. To appearin PLOS Computational Biology

9. Chathika Gunaratne, Garibay, I., Mustafa Ilhan Akbas, and Ozlem Ozmen (2016). TheNeed for Product Space Complexity for Agent-based Computational Economics, Duke ForestConference 2016 Economics in the Era of Natural Computationalism and Big Data Celebrat-ing the 50th anniversary of the Theory of Self-Reproducing Automata (by John von Neumann),Hilton Garden, Durham, North Carolina, Nov 11-13, 2016

10. C. Gunaratne, M. I. Akbas, I. Garibay and O. Ozmen (2016). Evaluation of Zika VectorControl Strategies Using Agent-Based Modeling. Social Simulation Conference (SSC) -6th joint meeting of European Social Simulation Association (ESSA), Pan-Asian Associationfor Agent-based Approach in Social Systems Sciences (PAAA), and Computational SocialSciences of America (CSSSA), Rome, Itali, September, 2016.

11. I. Garibay, C. Gunaratne, M. I. Akbas and O. Ozmen (2016). The Role of EvolutionaryDynamics in Agent-Based Computational Economics. In the Proceedings of the InternationalWorkshop on the Economic Science with Heterogeneous Interacting Agents (WEHIA), Catel-lon, Spain, June, 2016.

12. C. Gunaratne, Garibay, I., M. I. Akbas and O. Ozmen (2016). GIS Derived Spatial Con-straints for Agent-based Modeling of Aedes Aegypti Population Dynamics, In SwarmFest:Meeting on Agent-Based Modeling & Simulation, University of Vermont, Burlington, Ver-mont, August, 2016.

13. Garibay, I., Akbas, I., Gunaratne, C., Ozmen, O.. and O’Neal, T. (2015). An Agent BasedApproach to Study Incubation in Innovation Ecosystems. Conference of the ComputationalSocial Science Society of the Americas (CSSSA), Santa Fe, NM, October, 2015

14. Akbas, I., Gunaratne, C., Ozmen, O., Garibay, I., and O’Neal, T. (2015). Role of En-trepreneurial Support for Networking in Innovation Ecosystems: An Agent Based Approach.Winter Simulation Conference (WSC), Huntington Beach, CA, December, 2015.

15. Akbas, M. I., Basavaraj, P., Ozmen, O., Garibay I. and Georgiopoulos, M. (2015). Curricu-lum GPS: An Adaptive Curriculum Generation and Planning System. Interservice/IndustryTraining, Simulation, and Education Conference (I/ITSEC), Orlando, FL, November 30-December 4, 2015.

16. Akbas, M. I., Ozmen, O. and Garibay, I. (2015). Professional Network Value in Busi-ness Incubator Models. Conference of the European Social Simulation Association (ESSA),Groningen, Netherlands, September, 2015.

17. Akbas, M. I.; Ozmen, O. and Garibay, I. (2015) Regional Dynamics of Innovation and En-trepreneurship in the Optics and Photonics Industry. International Conference on Innovationand Entrepreneurship, Istanbul, Turkey, July, 2015.

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18. Lasrado, V., Sivo, S., Ford, C., ONeal, T., Garibay, I. (2014). Do Graduated IncubatedFirms Benefit from their Relationship with University Incubators? Technology Transfer So-ciety 2014 Conference, Baltimore, MD., 2014

19. Akbas, Mustafa Ilhan, Garibay, I. (2014), An Initial Agent Based Model for InnovationEcosystems Swarmfest Workshop, University of Notre Dame, IN, USA, June 29-July 1, 2014

20. Garibay, I., Hollander, Christopher D., Ford, Cameron; Lasrado, Vernet, Ozmen, Ozlemand O’Neal, Thomas (2013), A Simulation Study on the Firm-Level Impact of Business In-cubation in an Innovation Ecosystem Technology Transfer Society (T2S) Annual Conference:Technology Transfer and Academic Entrepreneurship,Bergamo, Italy, November 8-9, 2013.

21. Garibay, I., Hollander, Christopher D., and O’Neal, Thomas (2013), An Agent-Based Studyon the Regional Impact of Business Incubation in Innovation Ecosystems. Extended Abstractto The Conference of the European Social Simulation Association (ESSA)., Warsaw Schoolof Economics, Warsaw, Poland, September 16-20, 2013.

22. Garibay, I., Ozlem Ozmen, Amanda Koontz, Lori Dunlop-Pyle and, Michael Georgiopoulos(2013), SONET-MATH: Using Social Networks to Learn Mathematics, Mathematical Asso-ciation of America (MAA) Conference, Hartford, Connecticut, July 31-August 3, 2013.

23. Garibay, I., Hollander, Christopher D., Khan, F., O’Neal, Thomas and Turgut, D. (2013),To-wards studying the impact of business incubation on regional economic performance: a high-level overview and preliminary experiment, The Workshop on Economic Science with Het-erogeneous Interacting Agents (WEHIA), Reykjavik, Iceland, June 20-22, 2013.

24. Garibay, I., Hollander, Christopher D., Ozmen, Ozlem and O’Neal, Thomas (2013), TowardsModeling Economic Ecosystems: an Initial Model and Preliminary Validation ComputationalSocial Science Society of the Americas Conference, Santa Fe, New Mexico, August 22-25,2013

25. Garibay, I. and Hollander, Christopher D (2013), The Impact of Economic Assistance on theTechnology Dynamics of Innovation Systems, Annual meeting of the Swarmfest DevelopmentGroup (Swarmfest), Orlando, Florida, July 8-9, 2013.

26. Garibay, I. and Khan, Fahad (2013), An Agent Based Computational Economics Modelfor Creative Destruction, Annual meeting of the Swarmfest Development Group (Swarmfest),Orlando, Florida, July 8-9, 2013.

27. Garibay, I.; Hollander, Christopher D.; Ozmen, Ozlem and Goel, Amit (2012), Yet an-other Approach to Modeling Economic Phenomenon, In the Proceedings of Swarmfest 2012,Charlotte, NC, July 29-31, 2012

28. Garibay, I.; Hollander, Christopher D.; Lasrado, Vernet; Ford, Cameron; Sivo, Stephen andO’Neal, Thomas (2013), A Comparative Simulation Study on the Benefits of EntrepreneurialSupport Organization Membership, In the Proceedings of the Technology Transfer Society(T2S) Annual Conference: Technology Transfer and Academic Entrepreneurship, New York,NY, April 19-20, 2013

29. Hollander, Christopher D. and Garibay, I. and O’Neal, Thomas (2012), TransformationNetworks: A study of how technological complexity impacts economic performance, In theProceedings of 8th Artificial Economics Conference, Castellon, Spain, September 6-7, 2012.

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30. Garibay, I.; Hollander, Christopher D.; Ozmen, Ozlem and O’Neal, Thomas (2012), Econoscape:Towards a Generative Model of Innovation Ecosystems, In the Proceedings of ESSA 2012 8thConference of the European Social Simulation Association, University of Salzburg, Austria,September 1014, 2012.

31. Wiegand, R. P., Anil G.,Garibay I., Ozmen O. and Wu, A.S (2009), On the PerformanceEffects of Unbiased Module Encapsulation, In the Proceedings of Genetic and EvolutionaryComputation Conference - GECCO 2009, Montreal, Canada, July 08-12, pp. 1729-1736.

32. Oner M., Garibay, I., and Wu, A.S (2006). Mating Networks in Steady State GeneticAlgorithms are Scale Free. In the Proceedings of Genetic and Evolutionary ComputationConference (GECCO), Poster, pp. 1423-1424, Seattle, USA, July 8-12, 2006.

33. Garibay, I., Wu, A.S., and Ozmen, O. (2005). On Favoring Positive Correlations betweenForm and Quality of Candidate Solutions via the Emergence of Genomic Self-Similarity. Inthe Proceedings of the Genetic and Evolutionary Computation Conference, pp. 1177-1184,Washington, DC, USA, June 25-29, 2005. Nominated for Best Paper Award.

34. Garibay, I., Wu, A.S, and Ozmen, O. (2005). On location independent representations andself-organization. In the Proceedings of the GECCO 2005 Workshop on Self-organization inRepresentations for Evolutionary Algorithms, pp. 292. Washington, DC, USA, June 25-29,2005.

35. Garibay, I., Ozmen, O., and Wu, A.S. (2004). Effects of module encapsulation in repetitivelymodular genotypes on the search space. In the Proceedings of Genetic and EvolutionaryComputation Conference, Vol. 1, pp. 1125-1137, Seattle, USA, June 26-30, 2004.

36. Ozmen O., Garibay, I., and Wu, A.S. (2004). Invited to submit: No Free Lunch for ModuleEncapsulation. In the Proceedings of the GECCO 2004 Workshop on Modularity, Regularityand Hierarchy in Open-ended Evolutionary Computation, Seattle, USA, Jun 26-30, 2004.

37. Garibay, I., and Wu, A.S. (2004). Emergence of Genomic Self-similarity in a Proteome-Based Representation. In the Proceedings of the Ninth International Conference on theSimulation and Synthesis of Living Systems: Workshop on Self-Organization and Develop-ment in Artificial and Natural Systems, pp. 9-12, Boston, Massachusetts, September 12,2004.

38. Garibay, I., and Wu, A.S. (2004). Emergent white noise behavior in location independentrepresentations. In the Proceedings of the GECCO 2004 Workshop on Self-organization inRepresentations for Evolutionary Algorithms, Seattle, USA, June 26-30, 2004.

39. Ozmen, O.,Garibay, I., and Wu, A.S. (2003). The modular genetic algorithm: exploitingregularities in the problem space. In the Proceedings of the International Symposium onComputer and Information Systems, pp. 578-585, Antalya, Turkey, November 3-5, 2003.

40. Garibay, I., and Wu, A.S. (2003). Cross-fertilization between Proteomics and Computa-tional Synthesis. In the Proceedings of Computational Synthesis: From basic building blocksto high level functionality, AAAI Symposium, Stanford, CA, USA, March 24-26, 2003.

41. Ozmen, O., Garibay, I., and Wu, A.S. (2003). The modular genetic algorithm: motivationand first results on repetitive modularity. In the Proceedings of the Genetic and EvolutionaryComputation Conference, Late Breaking Papers, pp. 100-107, Chicago, USA, July 12-16,2003.

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42. Wu, A.S., and Garibay, I., (2002). The Proportional Genetic Algorithm Representation. Inthe Proceedings of the Genetic and Evolutionary Computation Conference, Poster, p. 703,New York, USA, July 9-13, 2002.

43. Wu, A.S., and Garibay, I., (2002). The Proportional Genetic Algorithm. In the Proceedingsof the Bird of a Feather Workshops of the Genetic and Evolutionary Computation Conference,pp. 200-205, New York, USA, July 9-13, 2002.

44. Garibay, I. (2000). Generating Text with a Theorem Prover. In the Proceedings of the 6thApplied Natural Language Processing and 1st Meeting of the North American Chapter of theAssociation of Computational Linguistics, Student Workshop, pp. 13-18, Seattle, USA, April29 - May 3, 2000.

3.2.5 NON-REFEREED PUBLICATIONS

1. Soyler, E. and Garibay, I., ”UCF I-Corps: The Effects of Entrepreneurial Education onEntrepreneurial Intentions”. Technical Report-02-16, Complex Adaptive System Laboratory,University of Central Florida, February, 2016.

2. Garibay, I., Ozmen, O., Koontz, A., Dunlop-Pyle, L., and Georgiopoulous, M. ”SONET-MATH: Social Networks for Mathematics, Pilot Program Report”, Summer 2012. TechnicalReport 11-12, Complex Adaptive Systems Laboratory, University of Central Florida.

3. Garibay, I. (2003). Advanced Life Support System Simulation. Technical Report CS-TR-03-05, University of Central Florida, School of Computer Science.

4. Garibay, I. (2000). Generating Natural Language Documentation from Statecharts. Tech-nical Report, University of Central Florida, School of Computer Science.

3.3 INVITED PRESENTATIONS

1. Garibay I. (2018). Invited Talk: Big Data & Innovation: How UCF is Helping Developthe Central Florida Big Data Innovation Ecosystem via Education, Research and Innovation.UCF Data Analytics Annual Symposium, Orlando FL, March 22, 2018.

2. Garibay I. (2018). Invited Talk: Innovation in the era Artificial Intelligence: How Disneycan leverage Deep Agent Modeling of Guess Experience and Life Long Learning Programs.Disney Parks & Resorts Technology Innovation Open House Panel Discussion. Walt DisneyWorld, Orlando FL, February 23, 2018.

3. Garibay I. (2017). Congressional Testimony: Responsible Innovation via Lifelong Learn-ing: Artificial Intelligence Opportunities and Challenges. Artificial Intelligence Opportunitiesand Challenges Forum organized by The New Economy Task Force part of Jobs for AmericaTask Forces. The Capitol, Washington DC, November 15, 2017

4. Garibay I. (2017). Invited Talk: University of Central Florida and Walt Disney Word: Com-mon History and Perspectives for a Bright Future Together. Disneys Engineering ExcellenceTown Hall. Walt Disney World, Orlando FL, April 6th, 2017.

5. Garibay I. (2016). Invited Talk: University of Central Florida’s Master of Science in DataAnalytics: Big Data Impact on Defense and How UCF is Preparing to Meet Future Workforce

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Demand from the Defense Sector. Lockheed Martin’s Data Analytics Town Hall. LockheedMartin Corporation, Orlando FL, July 14th, 2016.

6. Garibay I. , Ford C., ONeal T., Ozmen O. (2014). Invited Talk: Agent-based modelsof business incubation in the context of innovation ecosystems. Workshop on InnovativeMethods for Testing Theory in the Practice of Organizational Sponsorship Annual Meetingof the Academy of Management. Philadelphia, USA, August 1-5, 2014.

7. Garibay I. (2014). Invited Talk: UCF I-Corps Site: NSF funded program that makes UCFa member of the National Innovation Network and will support 96 startup teams over 3 years(2014-2017). Central Florida Entrepreneurship Network Group . Orlando, USA, May 28th,2014

8. Garibay I. (2013). Invited Talk: Construyendo Ecosistemas de Innovacion: Incubando Em-presas en la Florida y en Silicio. 3rd International Symposium on Innovation and Technology.Cusco, Peru, November 26-28, 2013.

9. Garibay I. (2013). Invited Talk: Possibilities for data collection, analysis and modelingusing machine learning and complexity sciences techniques. Workshop on Data Collection,Analysis and Modeling of Nanoparticle/Cell Interactions for Cancer Research. Orlando, FL,October 11, 2013.

10. Garibay I. (2013). Invited Talk: Innovation Ecosystems: Agent-Based Generative Modelingof Regional Economic Growth. DARPA/Bank of America Economic Modeling Workshop atUniversity of North Carolina’s Complex Systems Institute. Charlotte, NC, March 21, 2013.

11. Garibay, I. (2011). Invited Talk: Agent-Based Modeling of Social and Economical System.2nd International Symposium on Innovation and Technology. Lima Peru, November 28-30,2011.

12. Garibay, I.(2006). Dagstuhl Seminar 06061: Theory of Evolutionary Algorithms (partici-pation by invitation only, financed by the German federal government). The InternationalConference and Research Center for Computer Science, Wadern, Germany, February 5-10,2006. (Internationales Begegnungs- und Forschungszentrum fr Informatik (IBFI) SchlossDagstuhl gGmbH)

13. Garibay, I. (2006). Invited Talk: Proteomics approach to Evolutionary Computation. Sem-inar at the Electrical Engineering and Computer Science Department, Universidad RicardoPalma, Lima, Peru, January 4, 2006. Delivered also at a Seminar at the Research Institute ofthe Systems Engineering and Informatics Department, Universidad Nacional Mayor de SanMarcos, Lima, Peru, January 5, 2006.

14. Garibay, I., Miller J., Kumar S., Hornby G., Ozmen O., and Oner K. (2006), OpeningTalk: Workshop on Complexity through Development and Self-Organizing Representations:Building Complexity from Simplicity, In Workshop Proceedings of Genetic and EvolutionaryComputation Conference - GECCO 2006, Seattle, USA, July 8-12, 2006.

15. Garibay I., and Wu A.S. (2004). Opening Talk: Workshop on Self-Organization in Repre-sentations for Evolutionary Algorithms: Building complexity from simplicity. In the Proceed-ings of the GECCO 2004 Workshop on Self-organization in Representations for EvolutionaryAlgorithms, Seattle, USA, June 26-30, 2004.

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16. Ozmen O., Garibay I., and Wu A.S. (2004). Invited to submit: No Free Lunch for ModuleEncapsulation. In the Proceedings of the GECCO 2004 Workshop on Modularity, Regularityand Hierarchy in Open-ended Evolutionary Computation, Seattle, USA, Jun 26-30, 2004.

3.4 PATENTS AND COPYRIGHTS

Copyrights:

• Florida Angel Nexus: Angel Investor Network Management System c©2012 UCF

• APAS: Institutional Animal Care and Use Committee Management System c©2012 UCF

• Institutional Review Board and Regulations Compliance Management System c©2005 UCF

• A University Resources On-Line Reporting Application: AURORA c©2004 UCF

• Intellectual Property Management System: Intel-Pro c©2003 UCF

• Personal Access to the Office of Research Information Systems: PARIS c©2003 UCF

• Digital Documents Storage and Retrieval System: TeraServer c©2002 UCF

3.5 GRANTS AND CONTRACTS

3.5.1 FEDERAL FUNDING

Agency: Defense Advance Research Projects Agency (DARPA), PITitle: Deep Agent: A Framework for Information Spread and Evolution in Social Net-

worksRole: PIPeriod: October 2017—December 2021Amount: $6,200,000 (IG 40%: $2,480,000)Investigators: Ivan Garibay (PI); Gita Reese Sukthankar (Co-PI); Alexander Mantzaris (Co-

PI); Stephen M Fiore (Co-PI)

Agency: National Science Foundation (NSF), PI, NSFTitle: EAGER: Defining, Measuring and Advancing University Economic Engagement:

A Research Initiative for moving forward Science and Innovation PolicyRole: PIPeriod: May 2017—May 2018Amount: $50,000 (IG 95%: $47,500)Investigators: Ivan Garibay (PI); Ozlem Garibay (Co-PI)

Agency: National Science Foundation (NSF), Co-PI, NSFTitle: UCF I-Corps Site - enhancing technology commercialization to develop a world-

class innovation ecosystemRole: Co-PIPeriod: August 2017—July 2020Amount: $300,000 (IG 33%: $99,000)Investigators: Thomas P O’Neal (PI); Ivan I Garibay (Co-PI); David S Metcalf (Co-PI)

Agency: National Science Foundation (NSF), Co-PI, NSF CNS: 1347356

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Title: University of Central Florida I-Corps Sites Program: Enhancing technology com-mercialization at a world-class innovation ecosystem

Role: Co-PIPeriod: May 2014—May 2018Amount: $360,000 (IG 20%: $72,000)Investigators: Thomas P O’Neal (PI); Ivan I Garibay (Co-PI); Cameron M Ford (Co-PI);

Michael Jay ODonnell (Co-PI); Timothy G Kotnour (Co-PI)

3.5.2 INDUSTRY FUNDING

Agency: Walt Disney Attractions, Inc. (Disney), PITitle: Disney-UCF Lifelong Learning Program: Deep Learning Intrapreneurship PilotRole: PIPeriod: January 2018—December 2018Amount: $397,479 (IG 60%: $238,487)Investigators: Ivan I Garibay (PI); Charles E Hughes (Co-PI)

Agency: Amazon.com, PITitle: AWS Cloud Credits for Research Program (Large-scale modeling and simulation

of complex socio-economic systems)Role: PIPeriod: March 2017—March 2018Amount: $20,000 (IG 100%: $20,000)Investigators: Ivan I Garibay (PI)

Agency: Microsoft Corporation, PITitle: Microsoft Azure Research Award (Computational modeling of the Zika virus

spread: A GIS driven complex adaptive systems approach to modeling the pop-ulation dynamics of Aedes aegypti)

Role: PIPeriod: January 2017—January 2018Amount: $5,000 (IG 100%: $5,000)Investigators: Ivan I Garibay (PI)

3.6 PENDING FUNDING

Agency: University of South Florida (subcontract from National Science Foundation -NSF), Co-PI

Title: I-Corps Node: The Gulf Coast Regional I-Corps Node (GC-RIN)Role: Co-PIPeriod: January 2019—December 2023Amount: $1,000,000 (IG 30%: $300,000)Investigators: Elizabeth A Klonoff (PI); Ivan I Garibay (Co-PI); Thomas P O’Neal (Co-PI);

Vernet Michael Lasrado (Co-PI)

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Agency: Consortium for Command, Control and Communications in Cyberspace (C5), PITitle: Societal Influence Modeling & Simulation (SIMS)Role: PIPeriod: July 2018—June 2021Amount: $2,999,565.00 (IG 35%: $1,049,847.75)Investigators: Ivan I Garibay (PI); Niloofar Yousefi (Co-PI); Christina L Bouwens (Co-PI);

Stephen M Fiore (Co-PI)

Agency: University of Michigan (subcontract from National Science Foundation -NSF),PI

Title: Development of social and technological model and index for smart and connectedcommunities

Role: PIPeriod: September 2018—August 2022Amount: $222,000.00 (IG 80%: $177,600.00)Investigators: Ivan I Garibay (PI); Niloofar Yousefi (Co-PI)

Agency: National Science Foundation (NSF), Co-PITitle: MRI: Acquisition of Jacobi - A Core-Dense, High-Memory, GPU High Perfor-

mance Computer to Support Transdisciplinary Research at UCFRole: Co-PIPeriod: September 2018—August 2019Amount: $2,512,513.00 (IG 14.28%: $358,786.85)Cost Share: $1,076,791.00 (IG 14.28%: $153,765.75)Investigators: Talat S Rahman (PI); Ivan I Garibay (Co-PI); Rudolf Paul Wiegand (Co-PI);

Shibu Yooseph (Co-PI); Jayanta S Kapat (Co-PI); Glenn A Martin (Co-PI);Artem E Masunov (Co-PI)

Agency: Venture Well, PITitle: Lean Big: Data-Driven Big Data Entrepreneurship projectRole: PIPeriod: January 2018—December 2021Amount: $30,000.00 (IG 100%: $30,000)Investigators: Ivan I Garibay (PI)

Agency: Royal Bank of Canada, PITitle: Deep Cyber: Using Big Data Distributed Machine Learning for Fraud Detection

and Risk Assessment in Large Financial InstitutionsRole: PIPeriod: January 2018—December 2018Amount: $102,890.00 (IG 100%: $102,890.00)Investigators: Ivan I Garibay (PI)

Agency: Florida High Tech Corridor Council (FHTCC), PITitle: Deep Cyber: Using Big Data Distributed Machine Learning for Fraud Detection

and Risk Assessment in Large Financial InstitutionsRole: PI

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Period: January 2018—December 2018Amount: $33,361.00 (IG 100%: $33,361.00)Investigators: Ivan I Garibay (PI)

Agency: National Science Foundation (NSF), PITitle: Spokes: MEDIUM: SOUTH: Collaborative: Data Observatory for Innovation

and Economic Prosperity: A data-intensive initiative in support of science andinnovation policy

Role: PIPeriod: January 2018—December 2020Amount: $584,894.00 (IG 30%: $175,468.20)Investigators: Ivan I Garibay (PI); Liqiang Wang (Co-PI); Ozlem O Garibay (Co-PI); Thomas

P O’Neal (Co-PI); Alexander Mantzaris (Co-PI); Daniel M Eilen (Co-PI); NikolaMirilovic (Co-PI); Ali Borji (Co-PI); Robin Kay Phelps (Co-PI); Shunpu Zhang(Co-PI); Gary T. Leavens (Co-PI)

Agency: UCF Federal Priorities 1 Proposal (USA Congress via United States Special Op-erations Command (USSOCOM)), PI

Title: Deep Agent: Modeling Cyber-Social-Cognitive Information Security in SocialMedia

Role: PIPeriod: October 2018—October 2019Amount: $2,499,880.00 (IG 50%: $1,249,940.00 )Investigators: Ivan I Garibay (PI); Stephen M. Fiore (Co-PI); Wingyan Chung (Co-PI)

4 PROFESSIONAL ACTIVITITES

4.1 SERVICE TO THE DEPARTMENT, COLLEGE, UNIVERSITY

4.1.1 UNIVERSITY

Administrative Duty: Special Advisor to Liz Klonoff, UCF Vice President for Researchand Dean of Graduate Studies

Until 2016 Summer I was the leader of Project Wahoo: restructuring of UCF research adminis-tration business and infrastructure. This project was created by my office while I was Directorof Technology and Innovation at ORC, and championed by me until it was approved early 2016by the UCF Provost and was allocated approximately $5,000,000.00 in internal funding. This isa large and complex project that involves a true study of UCF current business model and prac-tices in the areas that support research: office of research, office of finance and accounting, officeof compliance, and technology transfer. External expert consultants are currently conducting acomprehensive study of UCF current business practices and will provide recommendations in orderto implement changes in UCF research support infrastructure. The goal is to bring UCF in linewith the best practices in the industry, in order to enable UCF goals related to research output andprovide a first class support to faculty members. My role is to serve as an advisor to Dr. Klonoff

1This is a winning proposal of the UCF internal process of identifying priorities for seeking congressional federalfunding. As winners, we are first in line for potential federal funds. This project is internal and as such it is notreflected on the ARGIS system.

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in all matters related to this project. We conduct semi-periodic meetings dedicated to discuss thisproject progress and provide my feedback on the decisions being made and strategic directionsbeing considered. I receive an stipend for this administrative duty.

4.1.2 COLLEGE

Administrative Duty: Program Director of the Master of Science in Data Analytics(MSDA)

I started the MSDA program in Fall 2016 with 17 students. Currently, this Fall 2018 the MSDA isprojected to have 60 students. I created the industry advisory board with currently 27 companiessupporting the program, and recruited all students using usual marketing strategies as well as directpresentations to industry. I also recruited an Associate Director to help manage this rapidly grow-ing program. Reviewed so far over 400 student applications to make admission decisions. Promoteprogram via a large number of presentations to potential students, partners and stake holders.Convene and support the quarterly industry advisory board meetings. Support the workings of theboard and their three subcommittees: internships, curricula alignment and advancement. Createdthe internship program for the MSDA and actively recruit companies to provide internships. In pro-cess of creating the capstone course with industry recruitment and participation. Capstone wouldteam students to solve a real world problems provided by industry partners with the participationof industry mentors. Meet with a large number of prospective students seeking information andwith current students seeking advise. Coordinate teaching assignments and teacher recruitmentfor the MSDA in coordination with the Chairs of Computer Science and Statistics. Coordinatelogistics in collaboration with Office of Continuing Education (e.g, classroom locations, advisoryboard meetings, etc.). Recruits GTAs for the MSDA program. In charge of the budget allocatedfor the program and to make decisions on regards of growing the program in support of CECS goalsand in a responsible and sustainable manner.

4.1.3 DEPARTMENT

• IEMS Graduate Committee Member, 2016-Present.

• IEMS Faculty Search Committee Member, 2016-2017.

4.2 SERVICE TO THE PROFESSION

CAPS Complexity And Policy Studies, The Journal for Policy and Complex Systems,Member of the Board of Directors, 2017 - Present

CSSSA Computation Social Science Society of the Americas,Member of the Board of Directors, 2016 - Present

ISIT 8th Simposio Internacional en Innovacin y Tecnologa ISIT2017,Member of the Organizing Committee, 2017

CSSSA Computation Social Science Society of the Americas,Treasurer, 2016 - 2017

ISIT 7th Simposio Internacional en Innovacin y Tecnologa ISIT2016,Member of the Organizing Committee, 2016

SDG Swarm Development Group (Swarmfest Conference),Member of the Board of Directors, 2015 - Present

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4.3 SERVICE AS EDITOR, ASSOCIATE EDITOR, OR MEMBER OF EDI-TORIAL BOARD

4.3.1 Journal Editorship (Special Edition Invited)

• Foundation of Genetic Algorithms, Special Editor for 2009

4.4 CONSULTING

None.

4.5 PROFESSIONAL LICENSE AND CERTIFICATIONS

None.

4.6 OTHER EXTERNAL PROFESSIONAL SERVICE ACTIVITIES

• NSF Panelist: Invited by NSF to participate as panelist for the Innovation Corps Sitesprogram. Reviewed proposals and participated in the discussion to make funding recommen-dations.

• Reviewer for FOM: Reviewed a proposal for the Foundation for Fundamental Research onMatter (FOM), the largest government-supported physics organization in the Netherlands.

• Advisory Board Member, California-based venture-funded technology startup : Vivan-tech, 2016-2017.Role: provide strategic advise to CEO on information technology, entrepreneurship, electronicresearch administration, innovation, enterprise systems, sponsored research and technologytransfer in the higher education sector.

• Judge for the Park Maitland School Science Fair, Orlando Science Center 2016



4.7 OTHER ACTIVITIES

• Technical Committee Chair: 6th International Symposium of Innovation and Technology,ISIT2015, Mar del Plata - Argentina, August 13-14, 2015.

• Technical Committee Chair: 5th International Symposium of Innovation and Technology,ISIT2014, Salamanca-Guanajuato. Mexico, October 20-22, 2014.

• Technical Committee Chair: 4th International Symposium of Innovation and Technology,ISIT2013, Urubamba-Cusco, Peru, November 25-27, 2013.

• Chair, Organizer: Workshop on Data Collection, Analysis and Modeling of Nanoparti-cle/Cell Interactions for Cancer Research, Orlando FL, October 11, 2013.

• Chair, Organizer: Swarmfest 2013, 17th Swarm Development Group’s Agent-Based Mod-eling Workshop, Orlando FL, July 8-9, 2013.

• Co-General Chair: ISIT 2012, 3rd International Symposium on Innovation and Technology.Cusco, Peru, November 26-28, 2012.

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• Special Sessions Chair: ISIT 2011, 2nd International Symposium on Innovation and Tech-nology. Lima, Peru, November 28-30, 2011.

• Technical Program Co-Chair: ISIT 2010, 1st International Symposium on Innovation andTechnology. Ica, Peru, November 29 - December 1, 2010.

• Co-Chair: FOGA X : Foundations of Genetic Algorithms. Sponsored by ACM SIGEVO.Orlando, Florida USA, January 9-11, 2009.

• Co-Chair: Complexity through Development and Self-organizing Representations Workshop,Genetic and Evolutionary Computation Conference (GECCO-2006), Seattle, Washington,USA, July 8-12, 2006.

• Co-Chair: Second Workshop on Self-organization in Representations for Evolutionary Algo-rithms: Building Complexity from Simplicity, Genetic and Evolutionary Computation Con-ference (GECCO-2005), Washington, D.C., USA, Jun 26, 2005.

• Chair: Workshop on Self-organization in Representations for Evolutionary Algorithms, Ge-netic and Evolutionary Computation Conference (GECCO-2004), Seattle, Washington, USA,Jun 27, 2004.

5 RECOGNITIONS AND AWARDS

• Preeminent Postdoctoral Program, Awarded $25,000.00 to support a postdoctoral stu-dent, College of Graduate Studies, UCF, (2018).

• Predictive Analytics Innovation Fellow, Awarded $5,000.00 stipend, Center for HigherEducation Innovation in the Office of the President, UCF, (2017).

• Preeminent Postdoctoral Program, Awarded $25,000.00 to support a postdoctoral stu-dent, College of Graduate Studies, UCF, (2017).

• Mentoring Program, accepted at the VP for Research and Dean of Graduate Studiesfaculty mentoring program, College of Graduate Studies, UCF, (2017).

• Best Paper Award Nomination, Genetic and Evolutionary Computation Conference,Washington, DC, USA (2005).

• Hillman Fellowship Award for Excellence in Ph.D. Research, University of Central Florida,Orlando FL, USA (2003).

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