Research

Research and publications

My doctoral research develops scalable methods for planning evacuation routes on large road networks, including routing electric vehicles under charging and road-capacity limits. It sits alongside 15 years of building data platforms in industry.

Selected publications

Google Scholar

Illustration of a road network with three evacuation routes leaving a hazard zone, charging stops and safe destinations

Doctoral research

Resource-constrained evacuation route planning

A Capacity-Aware Charge-Encoded State-Space Approach. Ph.D. in Computer Science, Florida Atlantic University.

The research routes evacuees to safe destinations while respecting shared road capacities, and extends this to electric vehicles that must stop to charge. Its TE-CERA heuristic eliminated charging violations while keeping evacuation times close to a capacity-only baseline, on real road networks of up to 329,929 intersections.

Read the peer-reviewed paper →

Degree

Ph.D., Computer Science (Data Science and Analytics)

Institution

Florida Atlantic University

Defended

March 23, 2026

Advisor

Dr. KwangSoo Yang

Research areas

Spatial data science and transportation networks
Evacuation planning and electric-vehicle routing
Synthetic road-network generation
Cloud data platforms and analytics

Publications

Selected publications

36 publications and 100+ citations. The two most recent peer-reviewed journal articles are below; the full list is on Google Scholar.

Journal article · First author · 2026

Resource Constraint Evacuation Route Planning: A Capacity-Aware Charge-Encoded State-Space Approach

Praveen Borra, Amogh Allani, Jhansi Xavier, Taher Kheda and KwangSoo Yang

Applied Sciences (MDPI), vol. 16, no. 13, article 6509

Introduces TE-CERA, a scalable heuristic that routes electric-vehicle evacuees within road capacities and driving-range limits between charging stops.

DOI: 10.3390/app16136509 →

Journal article · Co-author · 2026

Hybrid Framework for Synthetic Transportation Network Generation: Combining Constraint-First Topology with Learned Geometry

With Jhansi Xavier and KwangSoo Yang

IEEE Access, published July 2026

Generates synthetic road networks by building valid topology first and learning realistic geometry on top, for simulation and planning studies.

DOI: 10.1109/ACCESS.2026.3716667 →

Full publication list on Google Scholar →

Service

Peer review and program committees

Since 2024 I have reviewed research for international conferences and journals in data science, machine learning and computing, including two consecutive years on the ECML PKDD program committee. I also serve on journal editorial boards.

Conferences

Program committees and reviewing

Program committee member, ECML PKDD 2025 and 2026 (Applied Data Science track)
Reviewer, IEEE CE2CT 2025 and IEEE IATMSI 2025 and 2026
Reviewer, DATA 2025 and MIDAS 2025, a workshop at ECML PKDD
Reviewer, BDA 2024 and 2025, MIND 2024 and 2025, IC3T 2024, AICTA 2024 and IDSCS 2025

Journals