30 citations · 78 across the 12 of their papers we have counts for
12 papers
Conflict Resolution under Degraded Surveillance in Air Corridors Using Multi-Agent Reinforcement Learning
Esrat Farhana Dulia, Syed Arbab Mohd Shihab, Caleb Adams +1
Safe Advanced Air Mobility operations require aircraft to maintain separation when surveillance information is noisy, delayed, incomplete, or temporarily unavailable. This study de…
From Sentiment to Actionable Insights: Public Sentiment Analysis of Advanced Air Mobility
Esrat Farhana Dulia, Amina Dhaher, Raiful Hasan +1
Advanced Air Mobility (AAM) is an emerging low-altitude transportation system whose successful deployment depends on both technological progress and public acceptance. Public accep…
Reliability, Robustness, and Resilience Modeling for Surveillance System in Advanced Air Mobility Operations
Esrat Farhana Dulia, Caleb Adams, Syed Arbab Mohd Shihab +1
Ensuring the safe and efficient operation of Advanced Air Mobility (AAM) in low-altitude airspace requires a reliable, robust, and resilient surveillance system capable of continuo…
Time-Critical Multimodal Medical Transportation: Organs, Patients, and Medical Supplies
Elaheh Sabziyan Varnousfaderani, Syed A. M. Shihab, Mohammad Taghizadeh
Timely transportation of organs, patients, and medical supplies is critical to modern healthcare, particularly in emergencies and transplant scenarios where even short delays can s…
Deep Learning Based Multi-Level Classification for Aviation Safety
Elaheh Sabziyan Varnousfaderani, Syed A. M. Shihab, Jonathan King
Bird strikes pose a significant threat to aviation safety, often resulting in loss of life, severe aircraft damage, and substantial financial costs. Existing bird strike prevention…
An Integrated Supply Chain Network Design for Advanced Air Mobility Aircraft Manufacturing Using Stochastic Optimization
Esrat Farhana Dulia, Syed A. M. Shihab
Electric vertical takeoff and landing (eVTOL) aircraft manufacturers await numerous pre-orders for eVTOLs and expect demand for such advanced air mobility (AAM) aircraft to rise dr…
Benefits of Advanced Air Mobility for Society and Environment: A Case Study of Ohio
Esrat F. Dulia, Mir S. Sabuj, Syed A. M. Shihab
Advanced Air Mobility (AAM) is an emerging transportation system that will enable the safe and efficient low altitude operations and applications of unmanned aircraft (e.g., passen…
Designing a Surveillance Sensor Network with Information Clearinghouse for Advanced Air Mobility
Esrat Farhana Dulia, Syed Arbab Mohd Shihab
To ensure safe, secure, and efficient advanced air mobility (AAM) operations, an AAM surveillance network is needed to detect and track AAM traffic. Additionally, a cloud-based sur…
Bird Movement Prediction Using Long Short-Term Memory Networks to Prevent Bird Strikes with Low Altitude Aircraft
Elaheh Sabziyan Varnousfaderani, Syed A. M. Shihab
The number of collisions between aircraft and birds in the airspace has been increasing at an alarming rate over the past decade due to increasing bird population, air traffic and…
Deep-Dispatch: A Deep Reinforcement Learning-Based Vehicle Dispatch Algorithm for Advanced Air Mobility
Elaheh Sabziyan Varnousfaderani, Syed A. M. Shihab, Esrat F. Dulia
Near future air taxi operations with electric vertical take-off and landing (eVTOL) aircraft will be constrained by the need for frequent recharging of eVTOLs, limited takeoff and…
Movie Recommender Systems: Implementation and Performance Evaluation
Mojdeh Saadati, Syed Shihab, Mohammed Shaiqur Rahman
Over the years, explosive growth in the number of items in the catalog of e-commerce businesses, such as Amazon, Netflix, Pandora, etc., have warranted the development of recommend…
Autonomous Airline Revenue Management: A Deep Reinforcement Learning Approach to Seat Inventory Control and Overbooking
Syed Arbab Mohd Shihab, Caleb Logemann, Deepak-George Thomas +1
Revenue management can enable airline corporations to maximize the revenue generated from each scheduled flight departing in their transportation network by means of finding the op…