Collin Sellman
-
BAC 664 TEMPE, AZ 85287-4606
-
Mail code: 4606Campus: Tempe
-
Dr. Collin Sellman is on the faulty in the Department of Information Systems at Arizona State University's W.P. Carey School of Business, where he teaches courses in AI, big data, data science, and analytics strategy in the graduate and MBA programs. He has developed and delivered custom executive education programs focused on AI strategy and evidence-based decision making, and consults on data science, AI, and product management for technology and biotechnology firms through the university. Through ASU's AZNext initiative, he teaches Python programming to incarcerated students at the Arizona State Prison, where multiple successful cohorts have produced measurable gains in technical skills and career readiness.
Collin is the CEO and principal investigator at Fireline Science LLC, a National Science Foundation SBIR Phase II-funded R&D company developing offline-capable AI technology for education and medical training simulation. Fireline's platform is designed from the ground up for air-gapped and connectivity-constrained environments — including rural schools without reliable internet, correctional facilities where network access is restricted by policy, and remote communities accessible only by helicopter. The company holds a patent pending on its web application asset management system for offline environments and is currently developing AI-powered medical simulation tools for wilderness medicine training. Collin holds an active Wilderness First Responder (WFR) certification, is a member of the Wilderness Medical Society, and has presented his research on AI in wilderness medicine to the WMS research community.
Prior to founding Fireline Science, Collin served for approximately a decade as a wildland firefighter with the U.S. Forest Service on the Kaibab National Forest, where he operated in remote, resource-constrained, and high-consequence environments — experience that fundamentally shapes his approach to systems design for austere conditions. He currently volunteers as a trail steward for the Phoenix Mountain Preserves.
Collin was previously the head of Learning Analytics and Data Science for U.S. Learning Services at Pearson, Inc., where he led product management teams responsible for K–12 learning platforms and data-driven content development. Prior to Pearson, he led product management and development teams in the internet infrastructure industry at !NTERPRISE Networking Services, Qwest Communications International, One2One UK, and Level 3 Communications, where he launched numerous new products and two new business units. He holds a patent in telecommunications.
His research spans AI, offline systems architecture, medical simulation, teaching and learning, and product development, with a focus on deploying advanced technology in environments where conventional cloud-based approaches fail.
- Data science-based product development and innovation
- AI in education
- Digital product innovation
- Design and evaluation of digital learning assessments
- Temporal process mining
- Product development and business processes including Agile and Lean Startup
- Digital piracy and distribution
Publications:
- Digital Rights Management: https://asu.pure.elsevier.com/en/publications/dont-think-twice-its-all-…-
- Agile Software Development: https://www.iveypublishing.ca/s/product/pearsons-successmaker-putting-t…
- Lean Startup Methodology: https://www.iveypublishing.ca/s/product/game-colab-can-it-connect-indie…
Patents:
- SS7 Network Monitoring: https://patents.google.com/patent/US6370230
- Machine Learning based Web Application Asset Management System (patent pending 2025)
Recent Expert Panels:
- (2018) ASU Future of Work in the Digital Society Conference (Artificial Intellegence Panel)
Recent Conference Papers:
- (SSSR 2017) Using Big Data to Understand Reading Growth in K12: https://www.triplesr.org/using-big-data-understand-reading-growth
- (EDM 2017) Graph Based Educational Data Mining: https://arxiv.org/abs/1705.11125
- (ITS 2018) Data Based Approaches to Discovering K12 Classroom Practices: http://iis-international.org/its/its-awards/its-2018-best-short-paper-award/
Courses
2024 Fall
| Course Number | Course Title |
|---|---|
| CIS 593 | Applied Project |
2023 Fall
| Course Number | Course Title |
|---|---|
| CIS 593 | Applied Project |
| CIS 593 | Applied Project |
2022 Fall
| Course Number | Course Title |
|---|---|
| CIS 593 | Applied Project |
2022 Spring
| Course Number | Course Title |
|---|---|
| CIS 503 | DecisionMaking w/DataAnalytics |
| CIS 503 | DecisionMaking w/DataAnalytics |
2021 Fall
| Course Number | Course Title |
|---|---|
| CIS 593 | Applied Project |
2021 Spring
| Course Number | Course Title |
|---|---|
| CIS 593 | Applied Project |
| CIS 503 | DecisionMaking w/DataAnalytics |
- Introduction to R and Data Science Tools MBA Workshop
- Introduction to Machine Learning and AI Using R MBA Workshop
- AI First Principles