By Dr Sameer Alam

Journal articles

Nguyen MH; Alam S, 2018, 'Airspace Collision Risk Hot-Spot Identification using Clustering Models', IEEE Transactions on Intelligent Transportation Systems, 19, pp. 48 - 57, http://dx.doi.org/10.1109/TITS.2017.2691000

Alam S; Chaimatanan S; Delahaye D; Feron E, 2018, 'Metaheuristic approach for distributed trajectory planning for European functional airspace blocks', Journal of Air Transportation, 26, pp. 81 - 93, http://dx.doi.org/10.2514/1.D0078

Hossain MM; Alam S, 2017, 'A complex network approach towards modeling and analysis of the Australian Airport Network', Journal of Air Transport Management, 60, pp. 1 - 9, http://dx.doi.org/10.1016/j.jairtraman.2016.12.008

Alam S; Hossain M; Al-Alawi F; Al-Thawadi F, 2015, 'Optimizing Lateral Airway Offset for Collision Risk Mitigation Using Differential Evolution', Air Traffic Control Quarterly, 23, pp. 1 - 24

Alam S; Hossain MM; Al-Alawi F; Al-Thawadi F, 2015, 'Optimizing Lateral Airway Offset for Collision Risk Mitigation Using Differential Evolution', Air Traffic Control Quarterly, 23, pp. 301 - 324, http://dx.doi.org/10.2514/atcq.23.4.301

Alam S; Hossain M; Symon F; Blom H, 2014, 'A Complex Network Approach to Analyze the Effect of Intermediate Waypoints on Collision Risk Assessment', Air Traffic Control Quarterly,, 22, pp. 1 - 28

Zhao W; Alam S; Abbass HA, 2014, 'MOCCA-II: A multi-objective co-operative co-evolutionary algorithm', Applied Soft Computing, 23, pp. 407 - 416, http://dx.doi.org/10.1016/j.asoc.2014.06.011

Hossain MM; Alam S; Symon F; Blom H, 2014, 'A Complex Network Approach to Analyze the Effect of Intermediate Waypoints on Collision Risk Assessment', Air Traffic Control Quarterly, 22, pp. 87 - 114, http://dx.doi.org/10.2514/atcq.22.2.87

Bui VQ; pham V; Iorio A; Tang J; Alam S; Abbass HA, 2012, 'Bio-inspired robotics for air traffic weather information management', Transactions of the Institute of Measurement and Control, Online, 34, pp. 291 - 317, http://dx.doi.org/10.1177/0142331210366688

El-sergany A; Alam S, 2012, 'Trip Distribution Model for Flood Disaster Evacuation Operation', ITE Journal - Institute of Transportation Engineers, 82, pp. 42 - 48, http://www.ite.org/membersonly/itejournal/pdf/2012/JB12JA42.pdf

Tang J; Alam S; Lokan CJ; Abbass HA, 2011, 'A multi-objective approach for Dynamic Airspace Sectorization using agent based and geometric models', Transportation Research Part C - Emerging Technologies, 21, pp. 89 - 121, http://dx.doi.org/10.1016/j.trc.2011.08.008

Alam S; Nguyen MH; Abbass HA; Lokan C; Ellejmi M; Kirby S, 2011, 'Multi-aircraft dynamic continuous descent approach methodology for low-noise and emission guidance', Journal of Aircraft, 48, pp. 1225 - 1237, http://dx.doi.org/10.2514/1.C031241

Pham V; Tang J; Alam S; Lokan CJ; Abbass HA, 2010, 'Aviation emission inventory development and analysis', Environmental Modelling and Software, Volume 25, pp. 1738 - 1753, http://dx.doi.org/10.1016/j.envsoft.2010.04.004

Alam S; Shafi K; Abbass HA; Barlow MG, 2009, 'An ensemble approach for conflict detection in Free Flight by data mining', Transportation Research Part C - Emerging Technologies, 17, pp. 298 - 317, http://dx.doi.org/10.1016/j.trc.2008.12.002

Abbass HA; Alam S; Bender A, 2009, 'MEBRA: Multiobjective evolutionary-based risk assessment', IEEE Computational Intelligence Magazine, 4, pp. 29 - 36, http://dx.doi.org/10.1109/MCI.2009.933098

Bui LT; Alam S, 2008, 'An introduction to multi-objective optimization', , pp. 1 - 19, http://dx.doi.org/10.4018/978-1-59904-498-9.ch001

Alam S; Abbass HA; Barlow MG, 2008, 'ATOMS: Air Traffic Operations and Management Simulator', IEEE Transactions on Intelligent Transportation, 9, pp. 209 - 225, http://dx.doi.org/10.1109/TITS.2008.922877

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

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