Urban Air Mobility Flight Demand Modeling for Airports in New York City
AIAA SCITECH 2026 Forum | Orlando, FL, USA
Speaking & presentations
Research Talks & Presentations
I share research on interpretable and neurosymbolic AI, Advanced Air Mobility demand modeling, and trustworthy decision support through conference presentations, invited seminars, posters, and graduate training.
6Conference talks
3Research posters
3Invited talks
Conference Presentations
Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey
IJCAI 2025 | Montreal, Canada
Neurosymbolic Approach for Travel Demand Prediction: Integrating Decision Tree Rules into Neural Networks
IWCMC 2025 | Abu Dhabi, United Arab Emirates
A Data-Driven Approach to Enhancing Gravity Models for Trip Demand Prediction
IEEE CAI 2025 | Santa Clara, CA, USA
Regional Air Mobility Flight Demand Modeling in Tennessee State
AIAA SCITECH 2025 Forum | Orlando, FL, USA
Demand Modeling for Advanced Air Mobility
IEEE BigData 2024 | Washington, DC, USA
Poster Presentations
Improving Air Mobility for Pre-Disaster Planning with Neural Network Accelerated Genetic Algorithm
27th IEEE International Conference on Intelligent Transportation Systems (ITSC 2024) | Edmonton, Canada
Demand Modeling for Advanced Air Mobility
COEIT Research Day 2025 | April 11, 2025
Award Winner Doctorate Student Award · Poster Session
Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey
IJCAI 2025 | Montreal, Canada
Invited Talks & Seminars
Neurosymbolic AI (NSAI): Learning Meets Reasoning
Advanced Vehicle Intelligence and Autonomy (AVIA) Lab Invited Talk | September 4, 2026 | Baylor University
Hosted by Dr. Liang Sun.
Trustworthy Neurosymbolic AI for Predictive Decision Support
Population Health Sciences Special Seminar | Weill Cornell Medicine
Hosted by Dr. Yiye Zhang.
Neurosymbolic AI for Advanced Air Mobility: Foundations, Technical Advances, and an Approach to Travel Demand Modeling
IS 792: Advanced Topics in Information Systems | November 20, 2025 | UMBC
Guest lecture hosted by Dr. Houbing Herbert Song.
Graduate Training
Operationalizing AI/Machine Learning for Cybersecurity Training
NSF-funded graduate program | May 20–August 9, 2024
As a teaching assistant in the UMBC Department of Information Systems, I supported hands-on AI/ML and cybersecurity instruction and mentored interdisciplinary teams on research implementation, technical reports, and presentations. The program was supported by NSF grants OAC-2309760 and OAC-2229976.
Program details and training materials:
Speaking invitations
Invite Me to Speak
I am available for research seminars, workshops, and interdisciplinary panels.