Publications

Doctoral research and peer-reviewed work in Advanced Air Mobility, neurosymbolic AI, intelligent transportation, optimization, and trustworthy machine learning.

Selected Publications

A small selection spanning air-mobility demand, infrastructure planning, and neurosymbolic AI.

2026 · IEEE Transactions on Intelligent Transportation Systems

Demand Modeling for Advanced Air Mobility: Challenges, Opportunities, and Future Directions

Surveys AAM demand-modeling approaches and identifies gaps in behavior, infrastructure, and operational constraints.

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2026 · Journal of Air Transport Management

Demand Forecast and Energy-Aware Portal Siting for Regional Air Mobility

Connects tract-level demand forecasts to energy-aware decisions about Regional Air Mobility portal locations.

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2025 · IJCAI 2025

Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey

Maps neurosymbolic AI approaches to AAM challenges, with a focus on transparency, reliability, and aviation constraints.

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2024 · IEEE Transactions on Artificial Intelligence

A Survey on Symbolic Knowledge Distillation of Large Language Models

Reviews methods for translating knowledge in large language models into explicit symbolic representations that support interpretability and efficiency.

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Doctoral Dissertation 1

Ph.D. Dissertation · 2026

Enhancing Demand Modeling for Advanced Air Mobility Using Data-Driven Learning and Neurosymbolic AI

Doctor of Philosophy in Information Systems · University of Maryland, Baltimore County (UMBC)

This dissertation develops practical and interpretable ways to estimate who may use future air mobility services, where demand may emerge, and how data-driven forecasts can better support transportation planning.

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Journal Articles 7

2026

1. Demand Forecast and Energy-Aware Portal Siting for Regional Air Mobility Katherine Vasiloff, Kamal Acharya, Md Arifin Arif, Zhenbo Wang, Houbing Herbert Song, Fengyu Wang, Liang Sun Journal of Air Transport Management · 2026 Details DOI
2. Demand Modeling for Advanced Air Mobility: Challenges, Opportunities, and Future Directions Kamal Acharya, Waleed Raza, Katherine Vasiloff, Zhenbo Wang, Liang Sun, Houbing Herbert Song IEEE Transactions on Intelligent Transportation Systems · 2026 Details DOI PDF Repository
3. A Comprehensive Review of Neuro-symbolic AI for Robustness, Uncertainty Quantification, and Intervenability Kamal Acharya, Houbing Herbert Song Arabian Journal for Science and Engineering · 2026 Details DOI PDF
4. Quantum AI-Enhanced IoT-Fog Communication: A Survey From Cybersecurity and Data Privacy Perspective Antônio Roberto Lins de Macêdo, Senthil Kumar Jagatheesaperumal, Kelton Augusto Pontara da Costa, Kamal Acharya, Houbing Herbert Song, Mohsen Guizani, Victor Hugo C. de Albuquerque IEEE Communications Surveys & Tutorials · 2026 Details DOI

2024

1. A Survey on Symbolic Knowledge Distillation of Large Language Models Kamal Acharya, Alvaro Velasquez, Houbing Herbert Song IEEE Transactions on Artificial Intelligence · 2024 Details DOI Preprint
2. Neurosymbolic Reinforcement Learning and Planning: A Survey Kamal Acharya, Waleed Raza, Carlos Dourado, Alvaro Velasquez, Houbing Herbert Song IEEE Transactions on Artificial Intelligence · 2024 Details DOI Repository

2023

1. Long Short-Term Memory Neural Network Assisted Peak to Average Power Ratio Reduction for Underwater Acoustic Orthogonal Frequency Division Multiplexing Communication Waleed Raza, Xuefei Ma, Houbing Herbert Song, Amir Ali, Habib Zubairi, Kamal Acharya KSII Transactions on Internet & Information Systems · 2023 Details DOI

Conference Proceedings 10

2026

1. Urban Air Mobility Flight Demand Modeling for Airports in New York City Kamal Acharya, Houbing Herbert Song, Katherine Vasiloff, Zhenbo Wang, Liang Sun AIAA SCITECH 2026 Forum · 2026 Details DOI

2025

1. Integrating Neurosymbolic AI in Advanced Air Mobility: A Comprehensive Survey Kamal Acharya, Iman Sharifi, Mehul Lad, Liang Sun, Houbing Herbert Song IJCAI 2025 · 2025 Details DOI
2. Neurosymbolic Approach for Travel Demand Prediction: Integrating Decision Tree Rules into Neural Networks Kamal Acharya, Mehul Lad, Liang Sun, Houbing Herbert Song IWCMC 2025 · 2025 Details DOI Preprint
3. A Data-Driven Approach to Enhancing Gravity Models for Trip Demand Prediction Kamal Acharya, Mehul Lad, Liang Sun, Houbing Herbert Song IEEE CAI 2025 · 2025 Details DOI Preprint
4. Regional Air Mobility Flight Demand Modeling in Tennessee State Kamal Acharya, Mehul Lad, Houbing Herbert Song, Liang Sun AIAA SCITECH 2025 Forum · 2025 Details DOI Preprint Repository
5. Decoding Android Malware with a Fraction of Features: An Attention-Enhanced MLP-SVM Approach Safayat Bin Hakim, Muhammad Adil, Kamal Acharya, Houbing Herbert Song NSS 2024 (LNCS 15564, 2025) · 2025 Details DOI Preprint Repository

2024

1. Enhancing Forecasting for Advanced Air Mobility Mehul Lad, Kamal Acharya, Liang Sun, Houbing Herbert Song IEEE BigData 2024 · 2024 Details DOI
2. Demand Modeling for Advanced Air Mobility Kamal Acharya, Mehul Lad, Liang Sun, Houbing Herbert Song IEEE BigData 2024 · 2024 Details DOI
3. Improving Air Mobility for Pre-Disaster Planning with Neural Network Accelerated Genetic Algorithm Kamal Acharya, Alvaro Velasquez, Yongxin Liu, Dahai Liu, Liang Sun, Houbing Herbert Song IEEE ITSC 2024 · 2024 Details DOI Preprint

2023

1. SKGHOI: Spatial-Semantic Knowledge Graph for Human-Object Interaction Detection Lijing Zhu, Qizhen Lan, Alvaro Velasquez, Houbing Herbert Song, Kamal Acharya, Qing Tian, Shuteng Niu IEEE ICDMW 2023 · 2023 Details DOI Preprint Repository

Book Chapters 1

2025

1. AI for Android Malware Detection and Classification Safayat Bin Hakim, Muhammad Adil, Kamal Acharya, Houbing Herbert Song In AI for Cybersecurity: Research and Practice · 2025 Details DOI