Doug Galarus, Computer Science / Software Engineering Faculty

Douglas Galarus, Computer Science / Software Engineering Faculty

Doug Galarus faculty

Assistant Professor

dgalarus@mtech.edu
406-496-4858
Museum 202

B.A. Teacher of Mathematics, University of Montana, 1993
M.S. Computer Science, University of Montana, 1995
Ph.D. Computer Science, Montana State University, 2017

Download Dr. Galarus' full CV

Brief Bio

Dr. Douglas Galarus is an Assistant Professor Department of Computer Science at Montana Technological University. Doug has 30 years of experience in systems and software engineering, information technology development, testing, implementation, management and instruction.   Doug has extensive experience as the project manager, principal investigator and lead for mobile data communications systems, database-driven web sites, web site design, desktop applications, kiosk development, PDA, SmartPhone and Tablet PC –based development, and interactive CD-ROMs.  At the Western Transportation Institute, Doug applied technical expertise to the development of applications for transportation safety, including improved tools for road weather management, incident management, traveler information and data communications. Doug grew a nationally recognized, award winning program, and supervised numerous students, staff and multiple labs. Doug delivered and facilitated multiple technical training and professional development opportunities for engineers and technicians. As an Assistant Professor at Utah State University, Doug carried forward with similar research and development, with a focus on Data Science, Data Quality, Spatio-Temporal Data, Intelligent Transportation Systems and Applications of Data Science to Intelligent Transportation Systems. Now, as an Assistant Professor at Montana Tech, Doug continues forward in applying his experience to instruction and research in Computer Science, Data Science, and Software Engineering to students in his home state of Montana. Doug has taught introductory, upper-division and graduate-level courses. Dr. Galarus holds a PhD in Computer Science from Montana State University and master’s degrees in Computer Science and Mathematics Education from the University of Montana.

  • Successful Leader and Manager
  • Award-Winning Researcher
  • Accomplished Educator
  • Extensive Computer Skills
  • Writing and Technical Editing Experience
  • Proven Research Skills and Leadership
  • Team-Oriented
  • Cost and Budget Conscious
  • Teaching, Tutoring, Training and Train the Trainer Experience
  • Extensive Experience with Programming Languages, Applications, Systems, Internet Technologies, Communication Systems and Mobile Applications
  • Proven Proficiency in Design, Analysis, Implementation and Optimization
  • Software Engineer
  • Systems Engineer
  • Data Scientist

Honors and Awards

  • GEOProcessing 2019 “Best Paper” Award, Challenges in Evaluating Methods for Detecting Spatio-Temporal Data Quality Issues in Weather Sensor Data, GEOProcessing 2019 Conference, Athens Greece, February 24, 2019 to February 28, 2019. https://www.iaria.org/conferences2019/AwardsGEOProcessing19.html
  • 2018-19 Computer Science Faculty Researcher of the Year Award in the Computer Science Department at Utah State University.
  • 2018 Association of State Highway and Transportation Officials (AASHTO) Research Advisory Committee (RAC) Value of Research Task Force “High Value Research” (HVR) Project – Research Impacts, Better- Faster - Cheaper: From AWOS/RWIS to Caltrans Aviation Weather Information (AWI).
  • 2018 Utah State University Proposal Writing Institute. Nominated and sponsored by the Utah State University College of Engineering to participate. May – June 2018.
  • 2018 Utah State University RGS (Research and Graduate Studies) DC Faculty Fellow. Nominated by the Utah State University College of Engineering to participate in meetings with funding agencies in Washington, DC, December 2-5, 2017.
  • 2015 Association of State Highway and Transportation Officials (AASHTO) Research Advisory Committee (RAC) Value of Research Task Force “High Value Research” (HVR) Project – Research Impacts, Better- Faster - Cheaper: One Stop Shop for Traveler Information.
  • Winner: Best of Intelligent Transportation Systems (ITS) Award in the category of Best New Innovative Practice - Research Design and Innovation for work on One-Stop Shop for Traveler Information, ITS America 2014.
  • Finalist: Best of Intelligent Transportation Systems (ITS) Award in the category of Best New Innovative Practice - Rural ITS Project for its work on Automated Safety Warning System Controller, ITS America / National Rural Intelligent Transportation Systems (NRITS) 2014.
  • Finalist: 24th Annual (2013) Caltrans Transportation Foundation Transportation Awards, Operations Efficiency Program of the Year, One Stop Shop Traveler Information
  • Winner: Best of Rural ITS Award for Best New Innovative Product, Service or Application – Western States Rural Transportation Technology Implementers Forum, National Rural Intelligent Transportation Systems conference (NRITS) 2012
  • Winner: Best of Rural ITS Award for Best New Innovative Product, Service or Application – Redding Responder Project, National Rural Intelligent Transportation Systems conference (NRITS) 2010
  • Finalist: 20th Annual (2009) Caltrans Transportation Foundation Transportation Awards, Traffic Operations/ITS Program of the Year - Redding Responder
  • Finalist: ITS America 2007 “Best New Product, Service or Application” – Redding Responder Project
  • Senior Member, ACM, 2011-present
  • Senior Member, IEEE, 2005-present
  • Bertha Morton Scholarship, Received while a Master’s Student in Computer Science at the University of Montana
  • Joseph Hashisaki Memorial Scholarship, Department of Mathematical Sciences, Received while an Upper-Division Undergraduate Student at University of Montana

Teaching

I integrate theory, research and practice into my teaching. It is important that students have a solid foundation and understanding behind the methods they use (theory), that they investigate those methods thoroughly (research), and that they apply those methods to real problems (practice). This should be accomplished at all levels while accounting for student background and capability.

Teaching at Montana Tech

  • CSCI 347 Data Mining, Spring 2021
  • CSCI 447 Machine Learning, Spring 2021
  • CSCI 470 Web Science, Spring 2021
  • ESOF 487 Software Design Project II, Spring 2021
    CSCI 102 Computational Thinking with Lab, Fall 2020
  • CSCI 194 Freshman Seminar, Fall 2020
  • CSCI 443 User Interface Design, Fall 2020
  • ESOF 486 Software Design Project I, Spring 202077

Teaching at Utah State University

  • CS 5665 Introduction to Data Science, Fall 2017, Spring 2019, Fall 2019
  • Independent Study – CS 6950, Abhinav Pandey, Spring 2019
  • Independent Study – CS 5950 Tanner Kvarfordt Spring 2019
  • CS 1400 Introduction to Computer Science, Spring 2018
  • Independent Study – CS 6950, Manish Meshram, Spring 2018
  • Independent Study – CS 6950, Deepesh Parate, Spring 2018
  • CS 4320 Information Storage and Retrieval Fall 2018, Fall 2019

Teaching at the University of Montana

  • CS 171 – Communicating via Computer, Two Sections Fall 1997, Two Sections Spring 1997. Computer Science Department.
  • Math for Elementary Teachers, Two Sections, 1991. Department of Mathematical Sciences.

(Student) Teaching at Missoula Hellgate High School

  • Taught Statistics, Algebra 2. Spring 1985.

Teaching Certification

• State Certified (Montana) to teach Mathematics in Grades 5-12
• State Certified (Montana) to teach Computer Science in Grades 5-12

Professional Development Instruction

  • Completed Sun (Lead Faculty Java Authorization), iGeneration and New Horizons “Train the Trainer" Courses.
  • Completed Oracle Training courses for "training the trainer".
  • Delivered continuing education/professional development courses as a Sun-Certified Instructor and housed a Sun Java Technologies for Academic Authorized Sun Education Center, and as an Oracle-Certified Instructor and housed an Oracle Workforce Development Program at the University of Montana between 1999 and 2002.

Research Interests

Data Science & Systems
Data Quality
Spatio-Temporal Data
Intelligent Transportation Systems
Applications of Data Science to Intelligent Transportation Systems

My research spans the very applied, with development of mission-critical, production intelligent transportation systems, and theoretical, with the investigation and development of data science methods to solve challenges such as spatio-temporal data quality. My labs have conducted research in systems and software engineering to develop cutting-edge applications, applied data science and developed algorithms and methodologies to address challenges faced by the practitioners who use our many applications. We have also investigated the application of data science methods to estimate long-distance travel times during winter, and the development of measures to evaluate dimension reduction techniques relative to data science tasks such as the classification of roadside camera images.