By Dr Sameer Alam

Conference Papers

Ma C; Alam S; Cai Q; Delahaye D, 2023, 'A Machine Learned Traffic Flow Coordination Framework for Flow-Centric Airspace', in SESAR Innovation Days

Pushparaj K; Reddy P; Vu-Tran D; Izzetoglu K; Alam S, 2023, 'A Multi-Modal Approach to Measuring the Effect of XAI on Air Traffic Controller Trust during Off-Nominal Runway Exits', in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, pp. 4813 - 4819, http://dx.doi.org/10.1109/SMC53992.2023.10394443

Mohamed MA; Dang PH; Alam S, 2023, 'A Supervised Learning Approach for 4D Air Traffic Conflict Prediction under Trajectory Uncertainty', in IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 2416 - 2423, http://dx.doi.org/10.1109/ITSC57777.2023.10422559

Zhou W; Pham DT; Alam S, 2023, 'AirFusion: A Machine Learning Framework for Balancing Air Traffic Demand and Airspace Capacity Through Dynamic Airspace Sectorization', in IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 5324 - 5331, http://dx.doi.org/10.1109/ITSC57777.2023.10421895

Guleria Y; Pham DT; Alam S, 2023, 'An Agent-Based Approach for Air Traffic Conflict Resolution in a Flow-Centric Airspace', in IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 5619 - 5626, http://dx.doi.org/10.1109/ITSC57777.2023.10422292

Ali H; Pham DT; Alam S, 2023, 'Enhancing Airside Monitoring: A Multi-Camera View Approach for Aircraft Position Estimation for Digital Control Towers', in SESAR Innovation Days

Dang PH; Mohamed MA; Alam S, 2023, 'Image-based Conflict Detection with Convolutional Neural Network under Weather Uncertainty', in Integrated Communications, Navigation and Surveillance Conference, ICNS, http://dx.doi.org/10.1109/ICNS58246.2023.10124287

Wang Z; Dhief I; Zhou W; Alam S; Blom HAP; Kaltenhäuser S; Rabus T, 2023, 'Integrated Air and Space Traffic Management: An Agent-Based Simulation for Analysis of Space-Launch Impact on Air Traffic', in SESAR Innovation Days

Dhief I; Feroskhan M; Alam S; Lilith N; Delahaye D, 2023, 'Meta-Heuristics Approach for Arrival Sequencing and Delay Absorption Through Automated Vectoring', in 2023 IEEE Congress on Evolutionary Computation, CEC 2023, http://dx.doi.org/10.1109/CEC53210.2023.10254077

Malhotra K; Lim ZJ; Alam S, 2022, 'A Multi-Agent Reinforcement Learning Approach for System-Level Flight Delay Absorption', in Proceedings - Winter Simulation Conference, pp. 406 - 417, http://dx.doi.org/10.1109/WSC57314.2022.10015437

Cai Q; Ang H; Alam S, 2022, 'A Multiobjective Optimization Approach for Air Traffic Flow Management for Airspace Safety Enhancement', in 2022 IEEE Congress on Evolutionary Computation, CEC 2022 - Conference Proceedings, http://dx.doi.org/10.1109/CEC55065.2022.9870355

Mohan P; Alam S; Mohammed Nadirsha TN; Lilith N; Svensson A, 2022, 'A Shared Interactive Space in Mixed Reality for Collaborative Digital Tower Operations', in Proceedings - 2022 IEEE International Symposium on Mixed and Augmented Reality Adjunct, ISMAR-Adjunct 2022, pp. 615 - 621, http://dx.doi.org/10.1109/ISMAR-Adjunct57072.2022.00128

Mukherjee A; Guleria Y; Alam S, 2022, 'Deep Reinforcement Learning for Air Traffic Conflict Resolution Under Traffic Uncertainties', in AIAA/IEEE Digital Avionics Systems Conference - Proceedings, http://dx.doi.org/10.1109/DASC55683.2022.9925772

Duggal V; Tran TN; Pham DT; Alam S, 2022, 'Modelling Aircraft Priority Assignment by Air Traffic Controllers During Taxiing Conflicts Using Machine Learning', in Proceedings - Winter Simulation Conference, pp. 394 - 405, http://dx.doi.org/10.1109/WSC57314.2022.10015367

Limin S; Due-Thinh P; Alam S, 2022, 'Multi-Agent Deep Reinforcement Learning for Mix-mode Runway Sequencing', in IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 586 - 593, http://dx.doi.org/10.1109/ITSC55140.2022.9922221

Schultz M; Reitmann S; Jung B; Alam S, 2022, 'Towards Automated Apron Operations - Training of Neural Networks for Semantic Segmentation Using Synthetic LiDAR Sensors', in Proceedings - Winter Simulation Conference, pp. 418 - 429, http://dx.doi.org/10.1109/WSC57314.2022.10015391

Ali H; Thinh PD; Alam S, 2021, 'Deep Reinforcement Learning Based Airport Departure Metering', in IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC, pp. 366 - 371, http://dx.doi.org/10.1109/ITSC48978.2021.9565012

Andy LJG; Alam S; Piplani R; Lilith N; Dhief I, 2021, 'A decision-tree based continuous learning framework for real-time prediction of runway capacities', in Integrated Communications, Navigation and Surveillance Conference, ICNS, http://dx.doi.org/10.1109/ICNS52807.2021.9441617

Zhong W; Alam S; Lim Y; Lilith N; Josefsson B; Lundberg J; Bang M, 2021, 'NIRS-based Cognitive Assessment of Safety-Critical Air Traffic Operations', in 9th IEEE International Winter Conference on Brain-Computer Interface, BCI 2021, http://dx.doi.org/10.1109/BCI51272.2021.9385370

Pham DT; Ngo M; Tran N; Alam S; Duong V, 2021, 'A Data-Driven Approach for Taxi-Time Prediction: A Case Study of Singapore Changi Airport', in Lecture Notes in Electrical Engineering, pp. 113 - 129, http://dx.doi.org/10.1007/978-981-33-4669-7_7

Yong Benjamin TZ; Alam S; Ma CY, 2021, 'A Machine Learning Approach for the Prediction of Top of Descent', in AIAA/IEEE Digital Avionics Systems Conference - Proceedings, http://dx.doi.org/10.1109/DASC52595.2021.9594470

Guleria Y; Tran PN; Pham DT; Durand N; Alam S, 2021, 'A Machine Learning Framework for Predicting ATC Conflict Resolution Strategies for Conformal Automation', in SESAR Innovation Days

Dang PH; Tran PN; Alam S; Duong VN, 2021, 'A Machine Learning-Based Framework for Aircraft Maneuver Detection and Classification', in 14th USA/Europe Air Traffic Management Research and Development Seminar, ATM 2021

Cai Q; Ang H; Alam S, 2021, 'A Multiobjective Optimization Approach for Reducing Air Traffic Collision Risk', in 2021 IEEE Congress on Evolutionary Computation, CEC 2021 - Proceedings, pp. 1759 - 1766, http://dx.doi.org/10.1109/CEC45853.2021.9504707

Dhief I; Alam S; Mean CC; Lilith N, 2021, 'A Tree-based Machine Learning Model for Go-around Detection and Prediction', in SESAR Innovation Days

Chow HW; Jun Lim Z; Alam S, 2021, 'Data-driven Runway Occupancy Time Prediction using Decision Trees', in AIAA/IEEE Digital Avionics Systems Conference - Proceedings, http://dx.doi.org/10.1109/DASC52595.2021.9594365

Phat TV; Alam S; Lilith N; Tran PN; Binh NT, 2021, 'Deep4Air: A Novel Deep Learning Framework for Airport Airside Surveillance', in 2021 IEEE International Conference on Multimedia and Expo Workshops, ICMEW 2021, http://dx.doi.org/10.1109/ICMEW53276.2021.9456005

Mohan P; Alam S; Nadirsha TNM; Lilith N; Svensson Å, 2021, 'Embodied Multimodal Interaction with a Portable Mixed Reality-based Digital Tower', in 14th USA/Europe Air Traffic Management Research and Development Seminar, ATM 2021

Lau MEC; Lam AJG; Alam S, 2021, 'Predicting Runway Configuration Transition Timings Using Machine Learning Methods', in Proceedings - Winter Simulation Conference, http://dx.doi.org/10.1109/WSC52266.2021.9715492

Pham DT; Chan LL; Alam S; Koelle R, 2021, 'Real-time Departure Slotting in Mixed-Mode Operations using Deep Reinforcement Learning: A Case study of Zurich Airport', in 14th USA/Europe Air Traffic Management Research and Development Seminar, ATM 2021

Lim Y; Tan F; Lilith N; Alam S, 2021, 'Variable Taxi-Out Time Prediction Using Graph Neural Networks', in SESAR Innovation Days

Ky G; Alam S; Duong V, 2020, 'Carousel Inspired Virtual Circulation: A Simulation Model for Uav Arrival and Landing Procedure under Random Events', in Proceedings - Winter Simulation Conference, pp. 504 - 515, http://dx.doi.org/10.1109/WSC48552.2020.9383974

Cai Q; Alam S; Ang H; Duong V, 2020, 'A Braess's Paradox Inspired Method for Enhancing the Robustness of Air Traffic Networks', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 798 - 805, http://dx.doi.org/10.1109/SSCI47803.2020.9308452

Lim ZJ; Goh SK; Dhief I; Alam S, 2020, 'Causal Effects of Landing Parameters on Runway Occupancy Time using Causal Machine Learning Models', in 2020 IEEE Symposium Series on Computational Intelligence, SSCI 2020, pp. 2713 - 2722, http://dx.doi.org/10.1109/SSCI47803.2020.9308243

Cai Q; Ang H; Alam S; Ma C; Duong V, 2020, 'Enhancing the Robustness of Airport Networks by Removing Links', in 2020 IEEE Congress on Evolutionary Computation, CEC 2020 - Conference Proceedings, http://dx.doi.org/10.1109/CEC48606.2020.9185852

Juntama P; Chaimatanan S; Alam S; Delahaye D, 2020, 'A distributed metaheuristic approach for complexity reduction in air traffic for strategic 4d trajectory optimization', in 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation, AIDA-AT 2020, http://dx.doi.org/10.1109/AIDA-AT48540.2020.9049200

Tran TN; Pham DT; Alam S, 2020, 'A map-matching algorithm for ground movement trajectory representation using a-SMGCS data', in 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation, AIDA-AT 2020, http://dx.doi.org/10.1109/AIDA-AT48540.2020.9049181

Ky GA; Alam S; Duong VN, 2020, 'A traffic method for unmanned aircraft systems on a virtual closed circuit', in 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation, AIDA-AT 2020, http://dx.doi.org/10.1109/AIDA-AT48540.2020.9049166

Ma C; Cai Q; Alam S; Duong VN, 2020, 'Airspace capacity overload identification using collision risk patterns', in 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation, AIDA-AT 2020, http://dx.doi.org/10.1109/AIDA-AT48540.2020.9049182

Schultz M; Olive X; Rosenow J; Fricke H; Alam S, 2020, 'Analysis of airport ground operations based on ADS-B data', in 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation, AIDA-AT 2020, http://dx.doi.org/10.1109/AIDA-AT48540.2020.9049212

Ali H; Delair R; Pham DT; Alam S; Schultz M, 2020, 'Dynamic hot spot prediction by learning spatial- temporal utilization of taxiway intersections', in 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation, AIDA-AT 2020, http://dx.doi.org/10.1109/AIDA-AT48540.2020.9049186

Singh NP; Goh SK; Alam S, 2020, 'Real-time unstable approach detection using sparse variational gaussian process', in 2020 International Conference on Artificial Intelligence and Data Analytics for Air Transportation, AIDA-AT 2020, http://dx.doi.org/10.1109/AIDA-AT48540.2020.9049174

Ayeni AJ; Pushparaj K; Izzetoglu K; Alam S; Duong VN, 2020, 'A Neuroimaging Approach to Evaluate Choices and Compare Performance of Tower Air Traffic Controllers During Missed Approaches', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), pp. 107 - 117, http://dx.doi.org/10.1007/978-3-030-50353-6_8

Juntama P; Alam S; Chaimatanan S; Delahaye D, 2020, 'Air Traffic Structuration based on Linear Dynamical Systems', in SESAR Innovation Days

Van Phat T; Alam S; Lilith N; Tran PN; Nguyen BT, 2020, 'Aircraft Push-back Prediction and Turnaround Monitoring by Vision-based Object Detection and Activity Identification', in SESAR Innovation Days

Dhief I; Lim ZJ; Goh SK; Pham DT; Alam S; Schultz M, 2020, 'Speed Control Strategies for E-AMAN using Holding Detection-Delay Prediction Model', in SESAR Innovation Days

Pushparaj K; Ayeni AJ; Ky G; Alam S; Vijayaragavan V; Gulyás B; Duong VN, 2019, 'A quantum-inspired model for human-automation trust in air traffic control derived from functional magnetic resonance imaging', in SESAR Innovation Days, Athens, Greece, presented at 9th SESAR Innovation Days, Athens, Greece, 02 December 2019 - 06 December 2019

Tang J; Abbass H; Alam S, 2019, 'An Airspace Collision Risk Simulator for Safety Assessment', in Proceedings - Winter Simulation Conference, pp. 3160 - 3171, http://dx.doi.org/10.1109/WSC40007.2019.9004764

Schultz M; Reitmann S; Alam S, 2019, 'Classification of Weather Impacts on Airport Operations', in Proceedings - Winter Simulation Conference, pp. 500 - 511, http://dx.doi.org/10.1109/WSC40007.2019.9004915

Pham DT; Trant NP; Goh SK; Alam S; Duong V, 2019, 'Reinforcement learning for two-aircraft conflict resolution in the presence of uncertainty', in RIVF 2019 - Proceedings: 2019 IEEE-RIVF International Conference on Computing and Communication Technologies, http://dx.doi.org/10.1109/RIVF.2019.8713624

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