University of Maine at Augusta

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Dube, Matthew

Dr. Matthew P. Dube
Assistant Professor of Computer Information Systems

Office Location: 126 Jewett Hall, Augusta Campus
Phone: (207) 621-3212
Email: matthew.dube@maine.edu
Scholarly Profile: Scholar| ResearchGate | ORCID | Publons 

Office Hours:
Summer:  TBD

 

Education

B.A. University of Maine, Mathematics and Statistics, 2007
M.S. University of Maine, Spatial Information Science and Engineering, 2009
Ph.D. University of Maine, Spatial Information Science and Engineering, 2016


Recent Publications

  1. Dube, M. (2017) “Topological Augmentation: A Step Forward for Qualitative Spatial Partition Reasoning.” Journal of Spatial Information Science, 14(1) (full text)
  2. Powell, R., Dube, M., & J. Clark. (2017) “Mathematical Characteristics of District Boundary Lines as Indicators of Partisan Gerrymandering in U.S. House Elections.” Midwest Political Science Association Conference, April 2017 (full text)
  3. Dube, M. & J. Clark. (2016) “Beyond the Circle: Measuring District Compactness Using Graph Theory.” Northeast Political Science Association Conference, November, 2016 (full text)
  4. Dube, M. (2016) “Beyond Homeomorphic Deformations:  Neighborhoods of Topological Change.”  Advancing Geographic Information Science:  The Past and Next Twenty Years, H. Onsrud & W. Kuhn (eds.), GSDI Association Press, 137-152. (full text) (DOI: 10.13140/RG.2.1.1969.9445)
  5. Powell, R., J. Clark, & M. Dube. (2015) “Determining an Expected House Majority through Pattern Analysis.” Northeast Political Science Association Conference, November, 2015. (full text) (DOI: 10.13140/RG.2.1.2012.9526)
  6. Dube, M., J. Barrett, & M. Egenhofer. (2015) “From Metric to Topology: Determining Relations in Discrete Space.”  Conference on Spatial Information Theory, Santa Fe, NM.  S. Fabrikant, M. Raubal, M. Bertolotto, C. Davis, S. Bell, & S. Freundschuh (eds.), Lecture Notes in Computer Science 9368 151-171. (full text) (DOI: 10.1007/978-3-319-23374-1_8)
  7. Dube, M., M. Egenhofer, J. Lewis, S. Stephen, & M. Plummer. (2015) “Swiss Canton Regions: A Model for Complex Regions in Geographic Partitions.” Conference on Spatial Information Theory, Santa Fe, NM. S. Fabrikant, M. Raubal, M. Bertolotto, C. Davis, S. Bell, & S. Freundschuh (eds.), Lecture Notes in Computer Science 9368 309-330. (full text) (DOI: 10.1007/978-3-319-23374-1_15)
  8. Dube, M. & M. Egenhofer. (2014) “Surrounds in Partitions.”  22nd ACM SIGSPATIAL 2014 GIS, Dallas, TX.  Y. Huang, M. Schneider, M. Gertz, J. Krumm, & J. Sankaranarayanan (eds.), ACM Press, 233-242. (full text) (DOI: 10.1145/2666310.2666380)
  9. Dube, M. (2014) “Partitions to Improve Spatial Reasoning.”  1st ACM SIGSPATIAL Ph.D. Symposium, Dallas, TX.  M. Sarwat (ed). (full text) (DOI: 10.1145/2694859.2694864)
  10. Lewis, J., M. Dube, & M. Egenhofer. (2013) “The Topology of Spatial Scenes in R2.” Conference on Spatial Information Theory, Scarborough, United Kingdom.  A. Galton, B. Bennett, T. Tenbrink, & Z. Wood (eds.), Lecture Notes in Computer Science 8116, 495-515. (full text) (DOI: 10.1007/978-3-319-01790-7_27)
  11. Dube, M. & M. Egenhofer. (2012) “An Ordering of Convex Topological Relations.”  GIScience 2012, Columbus, OH.  N. Xiao, M. Kwan, M. Goodchild, & S. Shekhar (eds.), Lecture Notes in Computer Science 7478, 72-86. (full text) (DOI: 10.1007/978-3-642-33024-7_6)
  12. Egenhofer, M. & M. Dube. (2009) “Topological Relations from Metric Refinements.”  17th ACM SIGSPATIAL 2009 GIS, Seattle, WA.  D. Agrawal, W. Aref, C. Lu, M. Mokbel, P. Scheuermann, C. Shahabi, & O. Wolfson (eds.), ACM Press, 158-167. (full text) (DOI: 10.1145/1653771.1653796)
  13. Dube, M. & M. Egenhofer.  (2009)  “Establishing Similarity Across Multi-Granular Topological-Spatial Relation Ontologies.”  QuaCon 2009 – First International Workshop on Quality of Context, Stuttgart, Germany.  D. Fritsch & K. Rothermel (eds.), Lecture Notes in Computer Science 5786, 98-108. (full text) (DOI: 10.1007/978-3-642-04559-2_9)

Academic Interests
My primary research interests are in applications of mathematics to real-world problems, mostly from the perspective of spatial information.  My research centers on conceptual modeling that underlies query systems in geographic information systems from a topological and directional level.  Apart from this area of research, I also work on collaborative projects with researchers in equine science and political redistricting analysis.

My teaching centers on concepts core to data science, be it database design, geographic information systems, interdisciplinary data science, data visualization, machine learning, and fundamental programming.

PROFESSIONAL HISTORY

 

University of Maine at Augusta

  • Assistant Professor of Computer Information Systems 2016-

University of Maine

  • School of Computing and Information Science Research and Teaching Assistant 2008-2016
  • Upward Bound Math-Science Mathematics Instructor and Research Mentor 2011-2016
  • Sensor Science, Engineering, and Informatics IGERT Fellow 2009-2011
  • Office of Student Records Assistant Training/Security Coordinator 2007-2009

EDUCATIONAL HISTORY

University of Maine

  • Ph.D., Spatial Information Science and Engineering 2016
    • Areas of Concentration: Qualitative Spatial Reasoning, STEM Education, Sensors
    • Dissertation: “Algerbraic Refinements of Direction Relations Using Topological Augmentation” (full text)
  • M.S., Spatial Information Science and Engineering 2009
    • Areas of Concentration:  Qualitative Spatial Reasoning, Topology
    • Thesis: “An Embedding Graph for 9-Intersection Topological Spatial Relations” (full text)
  • B.A., Mathematics and Statistics 2007

PUBLICATIONS (CHRONOLOGICAL)

  • Dube, M. (2017) “Topological Augmentation: A Step Forward for Qualitative Spatial Partition Reasoning.” Journal of Spatial Information Science, 14(1) (full text)
  • Powell, R., Dube, M., & J. Clark. (2017) “Mathematical Characteristics of District Boundary Lines as Indicators of Partisan Gerrymandering in U.S. House Elections.” Midwest Political Science Association Conference, April 2017 (full text)
  • Dube, M. (in press) “Topological Augmentation: A Step Forward for Qualitative Spatial Partition Reasoning.” Journal of Spatial Information Science
  • Dube, M. & J. Clark. (2016) “Beyond the Circle: Measuring District Compactness Using Graph Theory.” Northeast Political Science Association Conference, November, 2016.
  • Dube, M. (2016) “Beyond Homeomorphic Deformations:  Neighborhoods of Topological Change.”  Advancing Geographic Information Science:  The Past and Next Twenty Years, H. Onsrud & W. Kuhn (eds.), GSDI Association Press, 137-152.
  • Powell, R., J. Clark, & M. Dube. (2015) “Determining an Expected House Majority through Pattern Analysis.” Northeast Political Science Association Conference, November, 2015.
  • Dube, M., J. Barrett, & M. Egenhofer. (2015) “From Metric to Topology: Determining Relations in Discrete Space.”  Conference on Spatial Information Theory, Santa Fe, NM.  S. Fabrikant, M. Raubal, M. Bertolotto, C. Davis, S. Bell, & S. Freundschuh (eds.), Lecture Notes in Computer Science 9368 151-171.
  • Dube, M., M. Egenhofer, J. Lewis, S. Stephen, & M. Plummer. (2015) “Swiss Canton Regions: A Model for Complex Regions in Geographic Partitions.” Conference on Spatial Information Theory, Santa Fe, NM. S. Fabrikant, M. Raubal, M. Bertolotto, C. Davis, S. Bell, & S. Freundschuh (eds.), Lecture Notes in Computer Science 9368 309-330.
  • Dube, M. & M. Egenhofer. (2014) “Surrounds in Partitions.”  22nd ACM SIGSPATIAL 2014 GIS, Dallas, TX.  Y. Huang, M. Schneider, M. Gertz, J. Krumm, & J. Sankaranarayanan (eds.), ACM Press, 233-242.
  • Dube, M. (2014) “Partitions to Improve Spatial Reasoning.”  1st ACM SIGSPATIAL Ph.D. Symposium, Dallas, TX.  M. Sarwat (ed).
  • Lewis, J., M. Dube, & M. Egenhofer. (2013) “The Topology of Spatial Scenes in R2.” Conference on Spatial Information Theory, Scarborough, United Kingdom.  A. Galton, B. Bennett, T. Tenbrink, & Z. Wood (eds.), Lecture Notes in Computer Science 8116, 495-515.
  • Dube, M. & M. Egenhofer. (2012) “An Ordering of Convex Topological Relations.”  GIScience 2012, Columbus, OH.  N. Xiao, M. Kwan, M. Goodchild, & S. Shekhar (eds.), Lecture Notes in Computer Science 7478, 72-86.
  • Egenhofer, M. & M. Dube. (2009) “Topological Relations from Metric Refinements.”  17th ACM SIGSPATIAL 2009 GIS, Seattle, WA.  D. Agrawal, W. Aref, C. Lu, M. Mokbel, P. Scheuermann, C. Shahabi, & O. Wolfson (eds.), ACM Press, 158-167.
  • Dube, M. & M. Egenhofer.  (2009)  “Establishing Similarity Across Multi-Granular Topological-Spatial Relation Ontologies.”  QuaCon 2009 – First International Workshop on Quality of Context, Stuttgart, Germany.  D. Fritsch & K. Rothermel (eds.), Lecture Notes in Computer Science 5786, 98-108.

RESEARCH IN PROGRESS

  • Topological Augmentation of Qualitative Direction Partitions
  • Topological Augmentation to Specify Line-Region Relations in Qualitative Partitions
  • Strip Relations on Spherical Surfaces
  • Uncertainty Propagation through Composition
  • Differences in Composition Tables in Co-Dimension 0 with Dr. Max Egenhofer (University of Maine) and Joshua Lewis (Ph.D. Student, University of Maine)
  • Critical Comparison of Pixel-Based Object Relation Paradigms with Dr. Max Egenhofer (University of Maine) and Jordan Barrett (undergraduate, Syracuse University)
  • Analysis of Mare Fertility by Age and Breeding Status with Dr. Robert Causey (University of Maine) and Dr. Dale Paccamonti (Louisiana State University)
  • Analysis of Fatal Injury Laterality in Thoroughbred Racehorses with Dr. Michael Peterson (University of Maine), Dr. Sarah Jane Hobbs (University of Central Lancashire), Dr. Hillary Clayton (Michigan State University), Dr. Robert Causey (University of Maine), and Dr. Mary Scollay (Kentucky Horse Racing Commission)
  • Analysis of Redistricting Plans using Graph Theoretical/Statistical Techniques with Dr. Richard Powell (University of Maine) and Jesse T. Clark (Ph.D. Student, Massachusetts Institute of Technology)

CURRICULUM DEVELOPED (Years taught in parentheses)

  • Accelerated Calculus for Economics (2011)
  • Advanced Excel Spreadsheet Design (2015-2016)
  • Advanced Visual Basic (2017-)
  • Advanced Java (2018-)
  • Algorithms and Data Structures (2017-)
  • Calculus II (2014)
  • Data Mining (2017-)
  • Data Visualization (2017-)
  • Database Design (2017-)
  • Database Design and Management (2016)
  • Database Management (2017-)
  • Discrete Structures (2015)
  • Engineering Databases and Information Systems (2008-2013)
  • Introduction to Computing (2016-)
  • Introduction to Data Science (developed 2016, implemented 2017)
  • Leadership for the Future (2010)
  • Mathematics and GIS in Redistricting (2013)
  • Sensor Foundations Lab (2010)
  • Sensor Testbed Advisement (2011)
  • Spatial Reasoning (2009-2014)
  • Visual Basic (2016-)

PROFESSIONAL MEMBERSHIPS

  • ACM SIGSPATIAL

2016-2017 Courses Taught:

  • CIS 100:  Introduction to Computing
  • CIS 212:  Visual Basic
  • CIS 255:  Database Design
  • CIS 289:  Introduction to Data Science
  • CIS 312:  Advanced Visual Basic
  • CIS 350:  Database Design and Management
  • CIS 352:  Data Visualization

AY 2016-2017 selected activities:

  • Research:  Submitted “Intentional vs. Unintentional Gerrymandering: Asymmetrical Partisan Bias in U.S. House Elections” to American Political Science Review”
  • Community Service/Research:  Selected as roundtable presenter for Teaching Statistics at the Midwestern Political Science Association conference in April 2017 in Chicago, IL
  • Community Service:  Developed data visualization materials for RSU 38 School Board Presentations
  • Faculty Service: Intercollegiate Council for Honors and Interdisciplinary Studies Council Member
  • Community Service: Created referenda images profiling votes across Maine municipalities for the Maine Heritage Policy Center
  • Publication:  “Topological Augmentation:  A Step Forward for Qualitative Spatial Partition Reasoning” provisionally accepted to the Journal of Spatial Information Science
  • Research:  “Mathematical Characteristics of District Boundary Lines as Indicators of Partisan Gerrymandering in U.S. House Elections” accepted to the Midwest Political Science Association Conference in Chicago, IL (April 2017)
  • Conference Presentation: “Beyond the Circle: Measuring District Compactness using Graph Theory,” at the 2016 Northeast Political Science Association Conference in Boston, MA, November 10-12, 2016.
  • Research:  Submitted “Beyond the Digital Jordan Curve: Unconstrained Simple Pixel-Based Raster Relations” to Journal of Visual Languages and Computing
  • Faculty Service: Chapter Counselor/Faculty Advisor, Maine Alpha Chapter of Sigma Phi Epsilon (University of Maine)
  • Faculty Service: AWSIM (Advocating Wicked Scholarship in Maine) Committee Member
  • Invited Talk: An Information/Data/Computer Scientist’s Perspective on Sensation and Perception at the University of Maine (PSY Sensation/Perception Course)
  • Course Development:  Introduction to Data Science, implementing Spring 2017
University of Maine at Augusta