LabCompass

Sania E. Seilabi

Social Sciences · Purdue University West Lafayette

OpenAlex ORCID
Early career · publishing since 2020
Transportation Planning and OptimizationTraffic control and managementTransportation and Mobility InnovationsElectric Vehicles and InfrastructureBIM and Construction Integration

Publications

18

Citations

276

Est. group size

~2

Recurring co-author estimate

Active years

7

Publishing since 2020

Research summary
AI-generated

Sania E. Seilabi's research focuses on transportation systems engineering, particularly the planning and management of infrastructure for emerging vehicle technologies such as connected and autonomous vehicles (CAVs) and electric vehicles (EVs). Work includes optimizing dedicated traffic lanes, electric vehicle charging station placement, road construction project scheduling, and emerging topics like urban airspace management for drones (UAVs). Methods draw on optimization techniques, reinforcement learning, and robust/uncertainty-aware planning models.

Connected and autonomous vehicle (CAV) lane managementElectric vehicle charging infrastructure planningRoad construction/work zone project schedulingTraffic congestion and demand modeling under uncertaintyEmerging urban mobility systems (UAVs, sustainable transport)

Publication output was minimal before 2020, rose to a peak in 2022, and has continued at a moderate, fairly steady pace through 2024 with an upcoming 2026 publication already listed.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 2.8/year recently
1718192020: 3 publications202021: 1 publication212022: 6 publications6222023: 4 publications232024: 3 publications24252026: 1 publication26
Recent publications
Publishes in
  • SSRN Electronic Journal×6
  • Computer-Aided Civil and Infrastructure Engineering×3
  • Frontiers in Built Environment×1
  • Sustainable Cities and Society×1
  • Sustainability×1
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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