Sameer Alam

Orcid: 0000-0002-7379-8223

According to our database1, Sameer Alam authored at least 79 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
Toward Greener and Sustainable Airside Operations: A Deep Reinforcement Learning Approach to Pushback Rate Control for Mixed-Mode Runways.
IEEE Trans. Intell. Transp. Syst., November, 2024

X-Fuzz: An Evolving and Interpretable Neuro-Fuzzy Learner for Data Streams.
IEEE Trans. Artif. Intell., August, 2024

Text-Enriched Air Traffic Flow Modeling and Prediction Using Transformers.
IEEE Trans. Intell. Transp. Syst., July, 2024

Left-right Discrepancy for Adversarial Attack on Stereo Networks.
CoRR, 2024

Improved air traffic flow prediction in terminal areas using a multimodal spatial-temporal network for weather-aware (MST-WA) model.
Adv. Eng. Informatics, 2024

Towards conformal automation in air traffic control: Learning conflict resolution strategies through behavior cloning.
Adv. Eng. Informatics, 2024

AYDIV: Adaptable Yielding 3D Object Detection via Integrated Contextual Vision Transformer.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Interpretable Tracking and Detection of Unstable Approaches Using Tunnel Gaussian Process.
IEEE Trans. Aerosp. Electron. Syst., June, 2023

Probabilistic Conflict Detection Using Heteroscedastic Gaussian Process and Bayesian Optimization.
IEEE Access, 2023

A Multi-Modal Approach to Measuring the Effect of XAI on Air Traffic Controller Trust During Off-Nominal Runway Exits.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

AirFusion: A Machine Learning Framework for Balancing Air Traffic Demand and Airspace Capacity Through Dynamic Airspace Sectorization.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

A Supervised Learning Approach for 4D Air Traffic Conflict Prediction under Trajectory Uncertainty.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

An Agent-Based Approach for Air Traffic Conflict Resolution in a Flow-Centric Airspace.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Meta-Heuristics Approach for Arrival Sequencing and Delay Absorption Through Automated Vectoring.
Proceedings of the IEEE Congress on Evolutionary Computation, 2023

2022
Hyperheuristic Approach Based on Reinforcement Learning for Air Traffic Complexity Mitigation.
J. Aerosp. Inf. Syst., September, 2022

A Generative Adversarial Imitation Learning Approach for Realistic Aircraft Taxi-Speed Modeling.
IEEE Trans. Intell. Transp. Syst., 2022

A Deep Reinforcement Learning Approach for Airport Departure Metering Under Spatial-Temporal Airside Interactions.
IEEE Trans. Intell. Transp. Syst., 2022

Model Generalization in Arrival Runway Occupancy Time Prediction by Feature Equivalences.
CoRR, 2022

Aircraft Trajectory Prediction With Enriched Intent Using Encoder-Decoder Architecture.
IEEE Access, 2022

Critical Links Detection in Spatial-Temporal Airway Networks Using Complex Network Theories.
IEEE Access, 2022

Towards Automated Apron Operations - Training of Neural Networks for Semantic Segmentation Using Synthetic LiDAR Sensors.
Proceedings of the Winter Simulation Conference, 2022

A Multi-Agent Reinforcement Learning Approach for System-Level Flight Delay Absorption.
Proceedings of the Winter Simulation Conference, 2022

Modelling Aircraft Priority Assignment by Air Traffic Controllers During Taxiing Conflicts Using Machine Learning.
Proceedings of the Winter Simulation Conference, 2022

Multi-Agent Deep Reinforcement Learning for Mix-mode Runway Sequencing.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

A Shared Interactive Space in Mixed Reality for Collaborative Digital Tower Operations.
Proceedings of the 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct (ISMAR-Adjunct), 2022

A Multiobjective Optimization Approach for Air Traffic Flow Management for Airspace Safety Enhancement.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Air Traffic Assignment for Intensive Urban Air Mobility Operations.
J. Aerosp. Inf. Syst., November, 2021

Robustness Evaluation of Multipartite Complex Networks Based on Percolation Theory.
IEEE Trans. Syst. Man Cybern. Syst., 2021

Dynamic capacity and variable runway configurations in airport slot allocation.
Comput. Ind. Eng., 2021

Predicting Runway Configuration Transition Timings Using Machine Learning Methods.
Proceedings of the Winter Simulation Conference, 2021

Deep Reinforcement Learning Based Airport Departure Metering.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Deep4Air: A Novel Deep Learning Framework for Airport Airside Surveillance.
Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

A Multiobjective Optimization Approach for Reducing Air Traffic Collision Risk.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

NIRS-based Cognitive Assessment of Safety-Critical Air Traffic Operations.
Proceedings of the 9th International Winter Conference on Brain-Computer Interface, 2021

2020
An Interactive Conflict Solver for Learning Air Traffic Conflict Resolutions.
J. Aerosp. Inf. Syst., June, 2020

Breakup of Directed Multipartite Networks.
IEEE Trans. Netw. Sci. Eng., 2020

On Robustness Paradox in Air Traffic Networks.
IEEE Trans. Netw. Sci. Eng., 2020

On the Robustness of Complex Systems With Multipartitivity Structures Under Node Attacks.
IEEE Trans. Control. Netw. Syst., 2020

Learning Interpretable Flight's 4D Landing Parameters Using Tunnel Gaussian Process.
CoRR, 2020

Deep4Air: A Novel Deep Learning Framework for Airport Airside Surveillance.
CoRR, 2020

An Incremental Clustering Method for Anomaly Detection in Flight Data.
CoRR, 2020

An Air Traffic Controller Action Extraction-Prediction Model Using Machine Learning Approach.
Complex., 2020

Percolation Theories for Multipartite Networked Systems under Random Failures.
Complex., 2020

Temporal Patterns Underlying Domestic Departure Passengers Behavior in the Airport.
IEEE Access, 2020

Carousel Inspired Virtual Circulation: A Simulation Model for Uav Arrival and Landing Procedure under Random Events.
Proceedings of the Winter Simulation Conference, 2020

Causal Effects of Landing Parameters on Runway Occupancy Time using Causal Machine Learning Models.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Braess's Paradox Inspired Method for Enhancing the Robustness of Air Traffic Networks.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

A Neuroimaging Approach to Evaluate Choices and Compare Performance of Tower Air Traffic Controllers During Missed Approaches.
Proceedings of the Augmented Cognition. Theoretical and Technological Approaches, 2020

Enhancing the Robustness of Airport Networks By Removing Links.
Proceedings of the IEEE Congress on Evolutionary Computation, 2020

2019
Interdependency and Vulnerability of Multipartite Networks under Target Node Attacks.
Complex., 2019

A Multi-Agent Approach for Reactionary Delay Prediction of Flights.
IEEE Access, 2019

A Passenger-Centric Model for Reducing Missed Connections at Low Cost Airports With Gates Reassignment.
IEEE Access, 2019

An Airspace Collision Risk Simulator for Safety Assessment.
Proceedings of the 2019 Winter Simulation Conference, 2019

Classification of Weather Impacts on Airport Operations.
Proceedings of the 2019 Winter Simulation Conference, 2019

Reinforcement Learning for Two-Aircraft Conflict Resolution in the Presence of Uncertainty.
Proceedings of the 2019 IEEE-RIVF International Conference on Computing and Communication Technologies, 2019

Construction of Air Traffic Controller's Decision Network Using Error-Related Potential.
Proceedings of the Augmented Cognition, 2019

2018
Airspace Collision Risk Hot-Spot Identification using Clustering Models.
IEEE Trans. Intell. Transp. Syst., 2018

2016
Intelligent anticipatory agents for changing environments.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

An Evolutionary Optimization Approach for Path Planning of Arrival Aircraft for Optimal Sequencing.
Proceedings of the Intelligent and Evolutionary Systems - The 20th Asia Pacific Symposium, 2016

An Evolutionary Optimization Approach to Maximize Runway Throughput Capacity for Hub and Spoke Airports.
Proceedings of the Artificial Life and Computational Intelligence, 2016

2015
Development of a Geographic Information System for Riverine Flood Disaster Evacuation in Canberra, Australia: Trip Generation and Distribution Modelling.
Proceedings of the 12th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2015

A Heuristic Search Approach to Find Contrail Avoidance Flight Routes.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015

2014
MOCCA-II: A multi-objective co-operative co-evolutionary algorithm.
Appl. Soft Comput., 2014

Descriptive and Geographical Analysis of Flood Disaster Evacuation Modelling.
Proceedings of the 11th Proceedings of the International Conference on Information Systems for Crisis Response and Management, 2014

2013
Real time prediction of worst case air traffic sector collision risk using evolutionary optimization.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Vehicles and Transportation Systems, 2013

2012
A multi-objective evolutionary method for Dynamic Airspace Re-sectorization using sectors clipping and similarities.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

What can make an airspace unsafe? characterizing collision risk using multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2010
Aviation emission inventory development and analysis.
Environ. Model. Softw., 2010

Evolutionary-Computation Based Risk Assessment of Aircraft Landing Sequencing Algorithms.
Proceedings of the Distributed, Parallel and Biologically Inspired Systems, 2010

A Pittsburgh Multi-Objective Classifier for user preferred trajectories and flight navigation.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Adversarial Evolution: Phase transition in non-uniform hard satisfiability problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Mebra: multiobjective evolutionary-based risk assessment.
IEEE Comput. Intell. Mag., 2009

Modelling and evolutionary multi-objective evaluation of interdependencies and work processes in airport operations.
Proceedings of the first ACM/SIGEVO Summit on Genetic and Evolutionary Computation, 2009

The effect of symmetry in representation on scenario-based risk assessment for air-traffic conflict resolution strategies.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009

2008
Evolving complexity towards risk: a massive scenario generation approach for evaluating advanced air traffic management concepts.
PhD thesis, 2008

ATOMS: Air Traffic Operations and Management Simulator.
IEEE Trans. Intell. Transp. Syst., 2008

2007
Ants Guide Future Pilots.
Proceedings of the Progress in Artificial Life, Third Australian Conference, 2007

2006
Pareto Meta-heuristics for Generating Safe Flight Trajectories Under Weather Hazards.
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006

2005
Chapter 2 Neural Evolution for Collision Detection & Resolution in a 2D Free Flight Environment.
Proceedings of the Recent Advances in Artificial Life, 2005


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