| Multi-objective optimization in computational intelligence: theory and practice: theory and practice L Thu Bui, S Alam IGI global, 2008 | 139 | 2008 |
| A complex network approach towards modeling and analysis of the Australian Airport Network MM Hossain, S Alam Journal of Air Transport Management 60, 1-9, 2017 | 135 | 2017 |
| Identification of ADS-B system vulnerabilities and threats L Purton, H Abbass, S Alam Australian Transport Research Forum, Canberra, 1-16, 2010 | 106 | 2010 |
| A multi-objective approach for dynamic airspace sectorization using agent based and geometric models J Tang, S Alam, C Lokan, HA Abbass Transportation research part C: Emerging technologies 21 (1), 89-121, 2012 | 93 | 2012 |
| Atoms: Air traffic operations and management simulator S Alam, HA Abbass, M Barlow IEEE Transactions on intelligent transportation systems 9 (2), 209-225, 2008 | 75 | 2008 |
| An ensemble approach for conflict detection in free flight by data mining S Alam, K Shafi, HA Abbass, M Barlow Transportation research part C: emerging technologies 17 (3), 298-317, 2009 | 70 | 2009 |
| Aviation emission inventory development and analysis V Van Pham, J Tang, S Alam, C Lokan, HA Abbass Environmental Modelling & Software 25 (12), 1738-1753, 2010 | 69 | 2010 |
| Australian airport network robustness analysis: a complex network approach M Hossain, S Alam, T Rees, H Abbass Proceeding of the 36th Australasian Transport Research Forum, Brisbane …, 2013 | 64 | 2013 |
| A machine learning approach for conflict resolution in dense traffic scenarios with uncertainties DT Pham, NP Tran, S Alam, V Duong, D Delahaye | 55 | 2019 |
| A dynamic continuous descent approach methodology for low noise and emission S Alam, MH Nguyen, HA Abbass, C Lokan, M Ellejmi, S Kirby 29th Digital Avionics Systems Conference, 1. E. 5-1-1. E. 5-18, 2010 | 55 | 2010 |
| Predictive classification and understanding of weather impact on airport performance through machine learning M Schultz, S Reitmann, S Alam Transportation Research Part C: Emerging Technologies 131, 103119, 2021 | 51 | 2021 |
| An interactive conflict solver for learning air traffic conflict resolutions PN Tran, DT Pham, SK Goh, S Alam, V Duong Journal of Aerospace Information Systems 17 (6), 271-277, 2020 | 48 | 2020 |
| A multi-agent approach for reactionary delay prediction of flights Y Guleria, Q Cai, S Alam, L Li IEEE Access 7, 181565-181579, 2019 | 48 | 2019 |
| MEBRA: multiobjective evolutionary-based risk assessment HA Abbass, S Alam, A Bender IEEE Computational Intelligence Magazine 4 (3), 29-36, 2009 | 48 | 2009 |
| Detection, tracking and classification of aircraft and drones in digital towers using machine learning on motion patterns VP Thai, W Zhong, T Pham, S Alam, V Duong 2019 Integrated Communications, Navigation and Surveillance Conference (ICNS …, 2019 | 39 | 2019 |
| A multi-objective evolutionary method for dynamic airspace re-sectorization using sectors clipping and similarities J Tang, S Alam, C Lokan, HA Abbass 2012 IEEE Congress on Evolutionary Computation, 1-8, 2012 | 39 | 2012 |
| A passenger-centric model for reducing missed connections at low cost airports with gates reassignment H Ali, Y Guleria, S Alam, M Schultz IEEE Access 7, 179429-179444, 2019 | 37 | 2019 |
| MOCCA-II: A multi-objective co-operative co-evolutionary algorithm W Zhao, S Alam, HA Abbass Applied Soft Computing 23, 407-416, 2014 | 35 | 2014 |
| Airway network management using braess’s paradox C Ma, Q Cai, S Alam, B Sridhar, VN Duong Transportation Research Part C: Emerging Technologies 105, 565-579, 2019 | 34 | 2019 |
| An introduction to multi-objective optimization LT Bui, S Alam Multi-objective optimization in computational intelligence: Theory and …, 2008 | 34 | 2008 |
Hussein A. AbbassFellow IEEE, Founding-Editor-in-Chief, IEEE Trans on AI, Professor, University of New South WalesVerified email at adfa.edu.au