Philippe Giabbanelli, Ph.D.

Dr. Phillippe Giabbanelli

Associate Professor

BEN 205W


  • Postdoctoral Studies, University of Cambridge
    Cambridge, UK
    2014 - 2015
    Investigator scientist in the public health modeling team.

  • Ph.D., Simon Fraser University
    Burnaby, Canada
    2014 - 2015
    Passed with no revisions requested. CGPA: 4.33 (A+). Published 20 articles
    Conducted at the Interdisciplinary Research on Mathematical and Computational Sciences (IRMACS) Centre

  • M.Sc., Simon Fraser University
    Burnaby, Canada
    CGPA: 4.13. Conducted at the School of Computing Science.

  • B.Sc., University of Nice Sophia-Antipolis
    Nice, France
    2004 - 2007
    Major in computer science. Exchange student at Bishop's University in year 3.

Research Bio

Dr. Giabbanelli joined Miami University in 2019 as associate professor. He was previously a tenure-track assistant professor at Northern Illinois University (for 3 years) and Furman University (1 year), and a researcher at the University of Cambridge (UK).

He obtained his doctorate and masters at Simon Fraser University (Canada), and he received in BSc at the University of Nice Sophia Antipolis (France). Dr. Giabbanelli has taught a range of data science courses such as Machine Learning, Network Science, Virtual Worlds, Database, or Simulation. His research focus is to develop and apply data science techniques to problems related to human health, particularly obesity and HIV. His work is often at the intersection of health and computer science as he seeks to create software tools that can then be used by decision-makers and individuals.

The main skills of his research group ( include simulation models and machine learning. Specifically, Dr. Giabbanelli mentors students on discrete simulation models (e.g., agent-based modeling, cellular automata), network analysis, and machine learning (e.g., classification, performance analysis). Currently, his main projects are (i) using machine learning to accelerate large-scale simulations and (ii) shifting from ‘big’ to ‘useful’ data by identifying the minimum parts of a dataset needed to quickly make accurate predictions.

Dr. Giabbanelli serves as program chair for the ACM SIGSIM conference on Principles of Advanced Discrete Simulation (PADS).

He also chairs the track on artificial societies at the Spring Simulation conference. Dr. Giabbanelli is on the editorial board of BMC Medical Informatics & Decision Making as well as Social Network Analysis & Mining.

Employment History

  • Furman University
    Greenville, SC, USA
    Assistant Professor Aug. 2018 to present

  • Northern Illinois University
    DeKalb, IL, USA
    Assistant Professor Aug. 2015-July 2018

  • Vancouver Institute for Visual Analytics
    Vancouver, Canada
    Mentor. Developed and delivered workshops on data visualization Apr.-July 2014

  • Fraser International College
    Burnaby, Canada
    Computer Science Instructor. Delivered programming courses in Python Sept. 2012-Aug. 2014

  • Simon Fraser University
    Burnaby, Canada
    Research Assistant, Teaching Assistant & Sessional Instructor May. 2011-Aug. 2014

    Sophia-Antipolis, France
    Research Engineer Jan.-Aug. 2010

  • Simon Fraser University
    Burnaby, Canada
    Research Assistant, Teaching Assistant & Sessional Instructor Sept. 2007-Dec. 2009


Courses Lectured

  • Furman University
    • CSC105, Virtual Worlds, 2018
    • CSC343, Artificial Intelligence, 2018
  • Northern Illinois University
    • CSCI680/CSCI490, Programming Data Science in Python (cross-listed), 2017
    • CSCI688, Database Concepts, 2017
    • CSCI680/CSCI490, Network Science (cross-listed), 2016 & 2018
    • CSCI680/CSCI490, Modeling and Simulation (cross-listed), 2016 & 2018
    • CSCI330, Unix Systems Programming, 2015-2018
  • Simon Fraser University*
    • CMPT225, Data Structures and Algorithms, 2009
    • CMPT120, Intro. to Computer Science, 2011-2014

*Courses were also taught at the Fraser International College, an affiliate of Simon Fraser University.

Guest Lectures

  • Lakehead University
    • COMP4310, Web Health Informatics, 2018
  • Northern Illinois University
    • CSCI630, Computer Networks, 2017
    • OMIS324, Business Analytics, 2016
    • PSPA301, Philanthropy & Volunteerism, 2016
  • Simon Fraser University
    • MATH800, Modelling of Complex Social Systems, 2011

Teaching Assistantships at Simon Fraser University

  • KIN140: Contemporary Health Issues taught twice 2011
  • CMPT471: Networking II taught once 2008
  • CMPT128: Intro. to CS for Engineering Sciences taught once 2007

Students Supervised

Master's Theses (4)

  • Eric Lavin, B.S. Northern Illinois University
    Outcomes: 2 conference articles, 1 poster, 3 awards (incl. best paper). Sept 2016-March 2018
    Next Position: Data Analyst, Allstate (US).

  • Magda Baniukiewicz, B.S. Northern Illinois University
    Outcomes: 2 Journal articles, 2 conference articles, 3 posters, 2 awards Jan 2016-Oct 2017
    Passed with no revisions. Next Position: Junior Data Analyst, Qiagen Business Services (Poland).

  • Venkata Sai Sriram Pillutla, B.S. Northern Illinois University
    Outcomes: 1 conference article, 1 journal article, 1 poster. Sept 2015-March 2017
    Passed with no revisions. Next Position: Research Intern, Argonne National Laboratory (US).

  • Tanner Verigin, B.S. University of Cambridge
    Outcomes: 1 conference article. Defended in Aug. 2015
    Co-supervised with Pal Davidsen (U. of Bergen). Next Position: Team Lead, Danske Bank (Denmark).

Long-Term Research Experiences (9 months and above)

  • Vishrant Krishna Gupta, B.S. Northern Illinois University
    Outcomes: 1 conference article, 1 book chapter. June 2017-May 2018
    Next Position: Programmer, HERE Technologies (Chicago IL).

  • Nicholas Rosso Northern Illinois University
    Outcomes: 1 journal article 2017 to 2018
    Next Position: Intern, Abbot Laboratories (St. Paul MN).

  • Grace MacEwan, B.S. Simon Fraser University
    Outcomes: 1 abstract, 1 conference workshop 2013-2014
    Next Position: M.S. Student, McGill University (Canada).

  • Simon Frankel Pratt, M.A. Simon Fraser University
    Outcomes: 2 IEEE conference articles 2012
    Next Position: Ph.D. Student, University of Toronto (Canada)

  • Thomas Torsney-Weir, B.A. Simon Fraser University
    Outcomes: 1 journal article, 1 abstract 2011
    Next Position: Ph.D. Student, University of Vienna (Austria)

Short-Term Research Experiences (less than 9 months)

At Northern Illinois University:

  • Robert Ruschke, B.S.. Graduate Research Project. Jan. 2017-May 2017

  • Jacqueline Salim. Undergraduate Research Rookies Programme. Sept. 2016-May 2017

  • Eric Lavin. Undergraduate Honors Thesis. Jan. 2016-May 2016

  • Cynthia Swartz. Undergraduate Research Rookies Programme. Oct. 2015-Feb. 2016

Visiting Students

At Furman University:

  • Mannila Sandhu. MITACS Programme, Canada Sept. 2018-Dec. 2018

  • Thrishma Reddy. MITACS Programme, Canada Sept. 2018-Dec. 2018

At Northern Illinois University

  • Hendra Firmansyah, Ph.D.. PKPI Programme, Canada Oct. 2017-Dec. 2017

  • Mannila Sandhu. MITACS Programme, Canada Sept. 2016-Dec. 2016

Awards and Scholarships

National Awards (3)

  • Systems Science Scholarship (AcademyHealth)
    Selected as one of 5 national systems science scholars. 2016

  • Institute on Systems Science and Health
    Fully funded training (1 week). First prize in the System Dynamics track. 2011

  • Mobility scholarship on Criteria of Excellence (France)
    Funding for a one year study exchange. 2006

Awards for Scholarship (2)

  • Spring Simulation Multi-Conference (SpringSim)
    Overall best paper, and best paper in the Annual Simulation Symposium track. 2018

  • ACM SIGSIM Conference on Principles of Advanced Discrete Simulations (PADS)
    Shortlisted for best paper. 2015

Monetary awards at Simon Fraser University (11)

All amounts are in Canadian dollars (CAD).

  • President's Ph.D. Scholarship. $6,500 2013

  • Graduate Student Research Award. $12,500 2013

  • 3 Travel Awards (for conferences). $2,080 2011-2013

  • 2 Modeling of Complex Socieal Systems Scholarships. $12,000 2012

  • Graduate Fellowship. $6,000 2012

  • Peter Borwein Annual Grad. Scholarships in Computational Modelling. $1,000 2011

  • 2 Computing Science Graduate Fellowships. $13,000 2008-2009

Funding History

Funded (10)

  • Research Contract, FONA International Inc.
    PI, $22,260 Aug. 2018 - Dec. 2018
    Applying machine learning to datasets on flavors.

  • Sir Henry Wellcome Postdoctoral Fellowship (Wellcome Trust)
    250,000£ 2016-2020
    Collaborating sites: University of Washington, MIT, University of Cambridge. Declined for faculty position.

  • Starts-up funds, Northern Illinois University
    PI, $142,000 Aug. 2015 - Aug. 2018
    Support to set-up the new Data Analytics in Complex Human Behaviors (DACHB) Laboratory.

  • Northern Illinois University, Research & Artistry
    PI, $13,500 May. - Oct. 2017
    Assessing the impact of adherence to treatment on HIV viral load by developing a simulation model.

  • Global Obesity Prevention Center (GOPC)
    PI, $29983, Systems Oriented Childhood Obesity Pilot Studies Jan. - Sept. 2016
    Assessing the impact of zoning policies on fast-foods around schools

  • Social Sciences and Humanities Research Council of Canada (SSHRC)
    Collaborator, $196,043 (CAD), Insight Grant 2016-2019
    Computer simulation modeling to address homelessness

  • Provincial Health Services Authority (PHSA) of British Columbia
    PI, $42,340 Aug. - Dec. 2016
    Software solutions to support systems thinking: a usability study

  • Provincial Health Services Authority (PHSA) of British Columbia
    PI, $48,457 (CAD) 2015
    Modelling the consequences of new policies and practices on overweight and obesity

  • Provincial Health Services Authority (PHSA) of British Columbia
    PI, $64,438 (CAD) 2013 - 2014
    Connecting physical and mental well-being in relation with overweight and obesity

Scored or at the last stage of competition (3)

  • National Institutes of Health (NIH) R01 (all three submissions scored)
    PI, with Dr Andrea Wittenborn (Michigan State University) 2015 - 2017
    Using systems modeling to inform personalized treatment for depression

  • National Institutes of Health (NIH) R21
    PI, with Dr Lynn Herrmann (Northern Illinois University). 2017
    Technology-guided feedback to address drop-off in individual weight management

  • Ontario Center for Excellence (OCE) Advancing Education Program
    Collaborator. PI: Dr Vijay Mago (Lakehead University) 2017
    Development and Deployment of Teaching Learning Solution in Flipped Classroom Setting


  • National Science Foundation (NSF) Trans-Atlantic Platform
    PI for the USA portion of the project, coordinator across international sites 2016
    Understanding and Forecasting the Co-Evolution of Food Culture and Society from Large-Scale Datasets

  • National Science Foundation (NSF) S&CC Planning Grant
    Co-PI with Dr Arika Ligmann-Zielinska (Michigan State University) 2017
    Toward Healthy and Connected Communities: Developing Capacity to Address the Complexity of Adolescent Food Behaviors in Ingham County, Michigan

  • National Institutes of Health (NIH) R21
    Consultant. PI: Dr Jacek Cholewicki (Michigan State University) 2017
    Collaborative Modelling for Low Back Pain Dynamics


At Furman University

  • Chair, Seminar Series, Computer Science Department
    Organizes research talks and dinners for the Cultural Life Program. 2018 - 2019

At Northern Illinois University

  • Standing and Special Purpose Committees, Computer Science Department
    Graduate Studies (2016–2018), Grade Review Board (2017–2018) 2016 -2018

  • Chair (3 terms), Colloquium Committee, Computer Science Department
    Organized 10 talks in Spring 2016, 13 in Fall 2016, and 12 in Fall 2017 2016–2017

  • Huskie Hack (Code for America)
    Speaker and mentor for several programming teams. 2016

Editorial Boards

  • Social Network Analysis and Mining (SNAM)
    Associate Editor 2015 to present

  • BMC Medical Informatics and Decision Making
    Associate Editor 2014 to present

Program Committees

  • 1 st ACM SIGSPATIAL International Workshop on GeoSpatial Simulation ( GeoSim) 2018

  • Winter Simulation Conference ( WinterSim) – Simulation Education 2018 to present

  • ACM SIGSIM Conf. on Principles of Advanced Discrete Simulation ( PADS) 2016 to present

  •           Chair of the Ph.D. Colloquium in 2019

  • Spring Simulation multi-conference ( SpringSim) – Simulation Symposium 2016 to present

  • International Conference on Complex Networks ( CompleNet) 2012 to 2017

  • IEEE International Conference on Fuzzy Systems ( FUZZ-IEEE) 2012

Session Chair/Moderator

  • Innovations in Collaborative Modeling. Session Modeling Health Systems III. 2016

  • JDIR (national French conference on networks) 2010

  • 14 th Western Canadian Conference on Computing Education (WCCCE) 2009

Grant Reviewer

  • Foundation for Food and Agriculture Research (FFAR), USA 2018
  • Netharlands Organisation for Scientific Research (NWO), The Netherlands 2017
  • National Institutes of Health (NIH) – R01 Grant, USA 2017
  • Medical Research Council (MRC), United Kingdom 2015

National Fellowships and Awards Reviewer

  • AcademyHealth Systems Science Scholarship, USA 2017

Journal Reviewer

On machine learning (including structured data mining and text mining), with applications to health:

  • American Journal of Prevantive Medicine 2017
  • BMC Public Health 2014, 2017
  • Critical Public Health 2017 - 2018
  • Journal of Medical Internet Research 2018
  • Journal of Medical Internet Research (JMIR) mHealth and uHealth 2015, 2018
  • Medical Decision Making 2016
  • Pattern Recognition 2017 - 2018
  • PLoS One 2015 - 2016, 2018
  • Preventing Chronic Disease 2015
  • Journal of Supercomputing 2016 - 2017

On predictive simulation models (e.g., agent-based models, network models):

  • Childhood Obesity 2015
  • Computers in Biology and Medicine 2014
  • Environmental Modelling and Software 2017
  • Health Informatics Journal 2015, 2018
  • Health and Place 2017
  • International Journal of Information Technology and Decision Making 2013
  • International Journal of Obesity 2017
  • Journal of Artificial Societies and Social Simulation (JASSS) 2014 - 2015
  • Journal of Environmental Management 2018
  • Journal of Healthcare Engineering 2013
  • Physics Letters A 2013, 2017
  • Scientific Reports 2016
  • Simulation: Transactions of the Society for Modeling and Simulation International 2016 - 2018
  • Social Science Journal 2018

Professional Memberships

  • Canadian Obesity Network (CON). 2014 to present
  • Association for Computer Machinery (ACM). 2013 to present
  • Society for Industrial and Applied Mathematics (SIAM) 2012-2015

Professional Development

  • Furman University Greenville, SC
    Professional Development 2018–Present
    Faculty Writing Fellow (5 days)
  • Northern Illinois University DeKalb, IL
    Professional Development 2016–2018
    Service learning institute (half day), Teaching Effectiveness Institute (1 day), Universal Design for Learning & Academic Integrity (1 day)
  • University of Cambridge Cambridge, UK
    Personal and Professional Development (PPD) 2015
    Managing & Developing Effective Teams (1 day), Factor Analysis (4 days), High Performance Computing (1 day), Emerging Research Leaders’ Development Programme (3 days)
  • Simon Fraser University Burnaby, Canada
    Graduate Certificate in Modelling of Complex Social Systems 2011 - 2014
  • National Institutes of Health Pittsburgh PA, USA
    Institute on Systems Science and Health (1 week) 2011
  • Simon Fraser University Burnaby, Canada
    Certificate in University Teaching and Learning 2008 - 2009


The full list is available on Dr. Phillippe Giabbanelli's Google Scholar Profile.
Pre-prints are available on Dr. Phillippe Giabbanelli's Research Gate Profile.
Supervised or co-supervised students are indicated with underlining.

Books (1)

  1. PJ Giabbanelli, VK Mago, El Papageorgiou. Advanced Data Analytics in Health. Springer, series on 'Smart Innovation, Systems and Technologies', volume 93, 2018. Includes the three following peer-reviewed chapters:
    • PJ Giabbanelli & M Baniukiewicz. Navigating complex systems for policymaking using simple software tools. Chapter 2, pp. 21-40.
    • A Khademi, D Zhang, PJ Giabbanelli, S Timmons, C Lu, L Shi. An agent-based model of healthy eating with applications to hypertension. Chapter 3, pp. 43-58.
    • PJ Giabbanelli. Analyzing the complexity of behavioural factors influencing weight in adults. Chapter 10, pp. 163-181.

Edited special issues (1)

  1. VK Mago, PJ Giabbanelli. Special Issue on Intelligent Healthcare Systems. Journal of Intelligent Systems 25(1):1-2, 2016.

Peer-reviewed journal articles (25)

For open access publications in electronic format, article identifiers are usually provided instead of page numbers since an article may span more or less pages depending on how it is rendered. Impact Factors (IF) should be contextualized with respect to each publication's field.

  1. PJ Giabbanelli, M Baniukiewicz. Visual Analytics to Identify Temporal Patterns and Variability in Simulations from Cellular Automata. ACM Transactions on Modeling and Computer Simulation (TOMACS), to appear. IF: 1.31.
  2. M Baniukiewicz, ZL Dick, PJ Giabbanelli. Capturing the fast-food landscape in England using large-scale network analysis. EPJ Data Science, 7(1):39. Springer Open, 2018. IF: 2.98.
  3. A Voinov, K Jenni, S Gray, N Kolagani, PD Glynn, P Bommel, C Prell, M Zellner, M Paolisso, R Jordan, E Sterling, L Schmitt Olabisi, PJ Giabbanelli, Z Sun, C Le Page, S Elsawah, TK BenDor, K Hubacek, BK Laursen, A Jetter, L Basco-Carrera, A Singer, L Young. Tools and methods in participatory modeling: Selecting the right tool for the job. Environmental Modelling & Software 109:232-255, Elsevier, 2018. IF: 4.4
  4. R Jordan, S Gray, M Zellner, PD Glynn, A Voinov, B Hedelin, EJ Sterling, K Leong, L Schmitt Olabisi, K Hubacek, P Bommel, TK BenDor, AJ Jetter, B Laursen, A Singer, PJ Giabbanelli, N Kolagani, L Basco Carrera, K Jenni, C Prell. Twelve questions for the participatory modeling community. Earth's Future, 6(8):1046-1057, Wiley, 2018. IF: 4.93.
  5. N Rosso, PJ Giabbanelli. Accurately inferring compliance to five major food guidelines through simplified surveys: applying data mining to the UK National Diet and Nutrition Survey. JMIR Public Health and Surveillance 4(2):e56, JMIR, 2018. IF: 5.175.
  6. AA Tawfik, PJ Giabbanelli, M Hogan, F Msilu, A Gill, CS York. Effects of success v failure cases on learner-learner interaction. Computers & Education, 118:120–132, Elsevier, 2017. IF: 3.82.
  7. PJ Giabbanelli, AA Tawfik. Overcoming the PBL Assessment Challenge: Design and Development of the Incremental Thesaurus for Assessing Causal Maps (ITACM). Technology, Knowledge and Learning, Springer, 2017. IF: 1.57.
  8. PJ Giabbanelli, SA Gray, P Aminpour. Combining fuzzy cognitive maps with agent-based modeling: Frameworks and pitfalls of a powerful hybrid modeling approach to understand humanenvironment interactions. Environmental Modelling & Software, 95:320–325, Springer, 2017. IF: 4.4
  9. PJ Giabbanelli, R Crutzen. Using agent-based models to develop public policy about food behaviours: future directions and recommendations. Computational and Mathematical Methods in Medicine: 5742629, Hindawi, 2017. IF: 0.95.
  10. AA Tawfik, TD Reeves, AE Stich, A Gill, C Hong, J McDade, VS Pillutla, X Zhou, PJ Giabbanelli. The nature and level of learner–learner interaction in a chemistry massive open online course (MOOC). Journal of Computing in Higher Education, 29(3):411-431, Springer, 2017. IF: 1.44.
  11. A Abbasi, AS Sahlqvist, L Lotta, M Brosnan, P Vollenweider, PJ Giabbanelli, DJ Nunez, DM Waterworth, R Scott, C Langenberg, N Wareham. A Systematic Review of Biomarkers and Risk of Incident Type 2 Diabetes: An Overview of Epidemiological, Prediction and Aetiological Research Literature. PLoS One 11(10): e0163721, PLoS, 2016. IF: 2.80.
  12. E Belyi, PJ Giabbanelli, I Patel, NH Balabhadrapathruni, A Ben Abdallah, W Hameed, VK Mago. An Experimental Approach of Mining Pharmaceutical Data. Journal of Supercomputing, 72(5):2014–2034, Springer, 2016. IF: 1.32.
  13. PJ Giabbanelli, J Adams. Identifying small groups of foods that can predict achievement of key dietary recommendations: data mining of the UK National Diet and Nutrition Survey, 2008-2012. Public Health Nutrition, 19(9):1543–1551, Cambridge, 2016. IF: 2.48.
  14. R Crutzen, PJ Giabbanelli, A Jander, L Mercken, H de Vries. Identifying binge drinkers based on parenting dimensions and alcohol-specific parenting practices: building classifiers on adolescent-parent paired data. BMC Public Health 15(1):747, BMC, 2015. IF: 2.81.
  15. PJ Giabbanelli & R Crutzen. Supporting self-management in obesity using a novel game architecture. Health Informatics Journal, 21(3):223-236, Sage, 2014. IF: 3.021.
  16. PJ Giabbanelli & R Crutzen. Creating groups with similar expected behavioural response in randomized controlled trials: a fuzzy cognitive map approach. BMC Medical Research Methodology 14:130, BMC, 2014. IF: 3.896.
  17. D Zhang, PJ Giabbanelli, OA Arah, T Rice, FJ Zimmerman. Impact of different policies on unhealthy dietary behaviors in an urban adult population: an agent-based simulation model. American Journal of Public Health 104(7):1217–1222, APHA, 2014. IF: 4.14.
  18. PJ Giabbanelli. Modelling the spatial and social dynamics of insurgency. Security Informatics 3(1):2, Springer (Open), 2014.
  19. R Crutzen & PJ Giabbanelli. Using classifiers to identify binge drinkers based on drinking motives. Substance use and misuse 49(1–2):110–115, Taylor & Francis, 2014. IF: 1.23.
  20. PJ Giabbanelli & R Crutzen. An agent-based social network model of binge drinking among Dutch adults. Journal of Artificial Societies and Social Simulations 16(2):10, 2013. IF: 0.992.
  21. PJ Giabbanelli, T Torsney-Weir, VK Mago. A fuzzy cognitive map of the psychosocial determinants of obesity. Applied Soft Computing 12(12):3711–3724, Elsevier, 2012. IF: 3.54.
  22. PJ Giabbanelli, A Alimadad, V Dabbaghian, DT Finegood. Modeling the influence of social networks and environment on energy balance and obesity. Journal of Computational Science 3:17–27, Elsevier, 2012. IF: 1.75
  23. PJ Giabbanelli & JG Peters. Complex networks and epidemics. Technique et Science Informatiques 30:181–212, Lavoisier, 2011.
  24. PJ Giabbanelli. The small-world property in networks growing by active edges. Advances in Complex Systems 14(6):853–869, World Scientific, 2011. IF: 0.93.
  25. C Eslahchi, H Pezeshk, M Sadeghi, PJ Giabbanelli, F Movahedi, V Dabbaghian. A probabilistic model for the spread of HIV infection among injection drug users. World Journal of Modelling and Simulation 6(4):267–273, 2010.

Peer-reviewed conference articles (21)

  1. VK Gupta, PJ Giabbanelli, AA Tawfik. An online environment to compare students’ and expert solutions to ill-structured problems. Proceedings of the 20th International Conference on HumanComputer Interaction. Lecture Notes in Computer Science, 10925:286–307, Springer, July 2018, Las Vegas NV, USA
  2. E Lavin, PJ Giabbanelli, AT Stefanik, SA Gray, R Arlinghaus. Should we simulate mental models to assess whether they agree? Proceedings of the 2018 Spring Simulation Multi-Conference (SpringSim). Sponsored by SCS. April 2018, Baltimore MD, USA.
  3. E Lavin, PJ Giabbanelli. Analyzing and simplifying model uncertainty in fuzzy cognitive maps. Proceedings of the 2017 Winter Simulation Conference, 1868-1879. Sponsored by ACM/SIGSIM, IEEE/SMC, and SCS. Dec 2017, Las Vegas NV, USA.
  4. I Patel, H Nguyen, E Belyi, Y Getahun, S Abdulkareem, PJ Giabbanelli, V Mago. Modeling information spread in polarized communities: transitioning from legacy media to a Facebook world. Proceedings of the 2017 IEEE SouthEast Conference. March 2017, Charlotte NC, USA.
  5. PJ Giabbanelli, VK Mago. Teaching Computational Modeling in the Data Science Era. International Conference on Computational Science (ICCS) 2016. Procedia Computer Science, 80:1968–1977, Elsevier. June 2016, San Diego CA, USA
  6. T Verigin, PJ Giabbanelli, PI Davidsen. Supporting a systems approach to healthy weight interventions in British Columbia by modeling weight and well-being. Proceedings of the 2016 Spring Simulation Multi-Conference (SpringSim), ACM. April 2016, Pasadena CA, USA.
  7. PJ Giabbanelli, GJ Babu, M Baniukiewicz. A novel visualization environment to support modelers in analyzing data generated by cellular automata. Proceedings of the 18th International Conference on Human-Computer Interaction. Lecture Notes in Computer Science, 9745:529–540, Springer, 2016. July 2016, Toronto ON, Canada
  8. PJ Giabbanelli, J Adams, S Pillutla. Feasibility and framing of interventions based on public support: leveraging text analytics for policymakers. Proceedings of the 18th International Conference on Human-Computer Interaction. Lecture Notes in Computer Science, 9742:188–200, Springer, 2016. July 2016, Toronto ON, Canada.
  9. ER Rana, PJ Giabbanelli, NH Balabhadrapathruni, VK Mago. Exploring the relationship between adherence to treatment and viral load through a new discrete simulation model of HIV infectivity. Proceedings of the ACM Principles of Advanced Discrete Simulations (PADS), 2015. June 2015, London, UK.
  10. PJ Giabbanelli, PJ Jackson. Using visual analytics to support the integration of expert knowledge in the design of medical models and simulations. Proceedings of the International Conference on Computational Science. Procedia Computer Science 51:755–764, Elsevier, 2015. June 2015, Reykjavik, Iceland.
  11. PJ Giabbanelli, JG Peters. An algebraic approach to combining classifiers. Proceedings of the International Conference on Computational Science. Procedia Computer Science 51:1545–1554, Elsevier, 2015. June 2015, Reykjavik, Iceland.
  12. SF Pratt, PJ Giabbanelli, J-S Mercier. Detecting unfolding crises with visual analytics and conceptual maps: emergin phenomena and big data. Proceedings of the 2013 IEEE International Conference on Intelligence and Security Informatics (ISI), 200–205, 2013. June 2013, Seattle WA, USA.
  13. PJ Giabbanelli, PB Deck, L Andres, T Schiphorst, DT Finegood. Supporting a participant-centric management of obesity via a self-improving health game. Proceedings of the 15th International Conference on Human-Computer Interaction. Lecture Notes in Computer Science, 8025:189–196, Springer. July 2013, Las Vegas NV, USA.
  14. SF Pratt, PJ Giabbanelli, P Jackson, VK Mago. Rebel with many causes: a computational model of insurgency. Proceedings of the 2012 IEEE International Conference on Intelligence and Security Informatics (ISI), 90–95, 2013. June 2012, Arlington VA, USA
  15. PJ Giabbanelli. A novel framework for complex networks and chronic diseases. Proceedings of the 3rd Workshop on Complex Networks, Studies in Computational Intelligence 424:207–215, Springer, 2013. March 2012, Melbourne FL, USA.
  16. PJ Giabbanelli. Ingredients for student-centered learning in undergraduate computing science courses. Proceedings of the 17th Western Canadian Conference on Computing Education 7–11, ACM, 2012. May 2012, Vancouver BC, Canada.
  17. PJ Giabbanelli, AA Reid, V Dabbaghian. Interdisciplinary teaching and learning in computing science: three years of experience in the MoCSSy program. Proceedings of the 17th Western Canadian Conference on Computing Education 47–51, ACM, 2012. May 2012, Vancouver BC, Canada.
  18. PJ Giabbanelli, D Mazauric, J-C Bermond. Average path length of deterministic and stochastic recursive networks. Proceedings of the 2nd Workshop on Complex Networks (CompleNet), Communications in Computer and Information Science 116:1–12, Springer, 2010. October 2010, Rio de Janeiro RJ, Brazil.
  19. PJ Giabbanelli, D Mazauric, S Perennes. Computing an average path length and a label-based routing in a small-world graph. Proceedings of the 12th Rencontres Francophones sur les Aspects Algorithmiques des Telecommunications 47–50, 2010. May 2010, Belle Dune, France.
  20. PJ Giabbanelli. Impact of complex network properties on routing in backbone networks. Proceedings of the IEEE GLOBECOM Workshop on Complex and Communication Networks 389–393, 2010. December 2010, Miami FL, USA.
  21. PJ Giabbanelli. Why having in-person lectures when e-learning and podcasts are available? Proceedings of the 14th Western Canadian Conference on Computing Education 42–44, ACM, 2009. May 2009, Burnaby BC, Canada.

Peer-reviewed book chapters and bibliographies (3)

  1. PJ Giabbanelli, AA Tawfik, VK Gupta. Learning analytics to support teachers’ assessment of problem solving: a novel application for machine learning and graph algorithms. In Utilizing learning analytics for study success, D. Ifenthaler, D.-K. Mah, & J. Y.-K. Yau (eds), Springer. To appear.
  2. PJ Giabbanelli, P Jackson, DT Finegood. Modelling the joint effect of social determinants and peers on obesity. In Theories and Simulation of Complex Social Systems, Intelligent Systems Reference Library 52:145–160, Springer, 2014.
  3. DT Finegood, L Johnston, PJ Giabbanelli, PB Deck, S Frood, L Burgos-Liz, M Steinberg, A Best. Complexity and systems theory. In Oxford Bibliographies in Public Health, Lawrence Green (editor), New York: Oxford University Press, 2012.

Peer-reviewed abstracts in proceedings (6)

  1. P Aminpour, S Gray, A Jetter, PJ Giabbanelli. Is the crowd wise enough to capture systems complexities? An exploration of wisdom of crowds using Fuzzy Cognitive Maps. 9th International Congress on Environmental Modelling and Software. June 2018, Fort Collins CO, USA.
  2. PJ Giabbanelli, RA Flarsheim, CX Vesuvala, L Drasic. Developing Technology To Support Policymakers In Taking A Systems Science Approach To Obesity And Well-being. Obesity Reviews, 17(S2):194–195, 2016. May 2016, Vancouver BC, Canada.
  3. PJ Giabbanelli, T Burgoine, P Monsivais, J Woodcock. Using big data to develop individualcentric models of food behaviours. Annual Meeting of the Association of American Geographers, Chicago (IL), April 21–25, 2015.
  4. PB Deck, PJ Giabbanelli, DT Finegood. Exploring the heterogeneity of factors associated with weight management in young adults. 3rd National Obesity Summit. Canadian Journal of Diabetes 37(S2):S269–S270, 2013. May 2013, Vancouver BC, Canada.
  5. PJ Giabbanelli, T Torsney-Weir, DT Finegood. Building a system dynamics model of individual energy balance related behaviour. 2nd National Obesity Summit. Canadian Journal of Diabetes 35(2):201, 2011. April 2011, Montreal QC, Canada.
  6. PJ Giabbanelli, A Alimadad, V Dabbaghian, DT Finegood. Modeling the influence of social networks and environment on energy balance and obesity. XI International Conference on Obesity, Obesity Reviews 11(S1):65, 2010. July 2010, Stockholm, Sweden.

Peer-reviewed tutorial sessions (1)

  1. PJ Giabbanelli, M Baniukiewicz, VS Pillutla, RA Flarsheim. Hybrid Quantitative Modeling Approaches with Application to Health and Safety. Innovations in Collaborative Modeling, East Lansing MI, June 15 2016.

Selected talks

  1. Mining and predicting complex human systems at scale 7 locations
    Lakehead University (Thunder Bay ON, May 2018), Northeastern Illinois University (Chicago IL, April 2018), Vassar College (Poughkeepsie NY, Jan 2018), Marquette University (Milwaukee WI, Jan 2018), Miami University of Ohio (Oxford OH, Jan 2018), Illinois Institute of Technology (Chicago IL, Nov 2017), University of New Hampshire (Durham NH, Sept 2017)
  2. Understanding and Forecasting Human Behaviors Using Machine Learning 3 locations
    Furman University (Greenville SC, Jan 2018), Hamilton College (Clinton NY, Dec 2017), Macalester College (St Paul MN, Nov 2017)
  3. Human Computer Interaction & Modeling Annapolis, MD
    National Socio-Environmental Synthesis Center (SESYNC) May 2017
  4. (Co-lead) Workshop on Applied Modeling with Fuzzy Cognitive Mapping Mexico City
    Autonomous National University of Mexico, Applied Math. & Sys. Research Inst. Jan. 2017
  5. Hybrid Quantitative Modeling Portland, OR
    Portland State U., Summer Workshop on Fuzzy Cognitive Map modeling Aug. 2016
  6. Data Insights: Best Practices for Collecting and Analyzing Your Data DeKalb, IL
    Nonprofit Day (DeKalb County Nonprofit Partnership) Jul. 2016
  7. Developing and applying techniques in data science to support health DeKalb, IL
    Northern Illinois University Apr. 2015
  8. Challenges and applications of data science in health behaviours Edinburgh, UK
    University of Edinburgh Apr. 2015
  9. How and why would you do data science in health? Cambridge, UK
    Cambridge Institute of Public Health Mar. 2015
  10. Developing and applying techniques in data science Chicago, IL
    DePaul University Mar. 2015
  11. Challenges and applications of data science in complex behavioural issues Pullman, WA
    Washington State University Feb. 2015
  12. Creating and applying computational models of health behaviours Troy, AL
    Troy University Aug. 2014
  13. Modelling food and physical activity behaviours Cambridge, UK
    University of Cambridge Dec. 2013
  14. The role of data in creating computational models of health behaviour Baltimore, MD
    Johns Hopkins Bloomberg School of Public Health Apr. 2013
  15. How can computational models help in explaining health behaviours? The Netherlands
    Maastricht University Dec. 2012
  16. Modelling the psychological and sociological contributors to obesity Burnaby, BC
    7th Annual IRMACS Day, Simon Fraser University Apr. 2012
  17. Social networks and disease spread Vancouver, BC
    St Paul Hospital Oct. 2010