Page 9 - SWAAAE Program

SESSION DESCRIPTIONS
SESSION 2A | INNOVATION AND TECHNOLOGY (TECHNOLOGY ROUNDTABLE)
REGENCY A | 1:30 PM - 2:45 PM
Moderator: Kelly Moulton, C.M. – Senior Airport Planner, Sacramento County Department of Airports Panel: Chad Nixon, M.B.A. – Senior Vice President, McFarland Johnson
Ryan Dittoe, C.M. – Assistant Airport Planner, Sacramento County Department of Airports Diana Ying Liu – Founder & Instigator – The-SIX
Learn how the aviation industry leverages technologies to increase transparency, speed up workflow, and create innovative new solutions to address needs. New and established tools such as Trello, SCRUM, big data, cloud- based solutions, drones and more are changing the way we do business. Join our panel for an interactive group discussion.
SESSION 2B | PART 121 AND 135 AIR SERVICE DEVELOPMENT – TRENDS, CHALLENGES, SUCCESSES, AND LESSONS LEARNED (AIRPORT MANAGEMENT ROUNDTABLE)
REGENCY C | 1:30 PM - 2:45 PM
Moderator: Mark Haneke, C.M. – Air Service Development and Marketing Manager, Sacramento County Department of Airports
Panel: Jeffrey Hartz – Senior Air Service Consultant, Mead and Hunt
Hardy S. Bullock, C.M. – Director of Aviation & Community Services, Truckee Tahoe Airport
Industry professionals will share future trends, challenges, successes and lessons learned on securing Part 121 and Part 135 service at both non-hub and general aviation airports. Join our panel for an interactive group discussion.
SESSION 3A | PMMP DATA COLLECTION AND MOVING TOWARD PREDICTIVE PAVEMENT MAINTENANCE MODELING AND PROGRAMMING (TECHNOLOGY ROUNDTABLE)
REGENCY A | 3:15 PM - 4:30 PM
Moderator: TJ Chen, P.E. C.M. – Airport Chief Administrative Officer, Sacramento County Department of Airports Renju Abraham, P.E. – Project Manager, Burns McDonnell
Brian Aho, P.E. – Senior Engineer, Applied Research Associates, Inc.
Tarek Tabshouri, Chief – Office of Technical Services & Programs, Caltrans
State and local airport authorities have collected extensive pavement condition data, but the data and preventive maintenance and pavement rehabilitation are still being modeled based on traditional PMMP methodology.
This session will explore technology that is currently available to collect pavement condition data for all airfield pavement, and the viability to transform airport PMMP, through artificial intelligence, into highly accurate predictive pavement condition modeling, maintenance, and repair programming.
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