Dr. Shohel Ahmed is a research associate in School of Engineering and Information Technology (SEIT) at the University of New South Wales, Australia. He completed his BSc (hons) in Computer Science and Engineering at the Rajshahi University of Engineering and Technology in Bangladesh with a first class. In 2014, he has completed his masters in Computer Engineering (by research) at University of Ulsan, South Korea. Shohel completed his PhD in Computer Science at UNSW Canberra in 2018. His research interests include Computational intelligence, multi-objective optimization, AI in Aviation, multi-agent systems, human computer interfaces.
Mr Md Shohel Ahmed
Alam S; Ahmed MS; barlow M, 2017, 'An Evolutionary Optimization Approach for Path Planning of Arrival Aircraft for Optimal Sequencing', in Leu G; sINGH H; Elsayed S (ed.), Intelligent and Evolutionary Systems. Proceedings in Adaptation, Learning and Optimization, Springer, Canberra, Australia, pp. 1 - 16, http://dx.doi.org/10.1007/978-3-319-49049-6_1
Ahmed MS; Alam S; Barlow M, 2018, 'A Cooperative Co-Evolutionary optimisation model for best-fit aircraft sequence and feasible runway configuration in a multi-runway airport', Aerospace, vol. 5, http://dx.doi.org/10.3390/aerospace5030085
Ahmed MS; Yoon S, 2013, 'Performance Analysis of Ad hoc Networks on Real world Test-bed for High Speed Video Streaming', The Journal of the Institute of Webcasting, Internet and Telecommunication, vol. 13, pp. 141 - 150, http://dx.doi.org/10.7236/jiibc.2013.13.3.141
Shohel AM; Yoon S, 2013, 'An Ad-hoc Routing Protocol for High-speed Multimedia Traffic Based on Path Quality and Bandwidth Estimation in Wireless Ad Hoc Networks', The Journal of the Institute of Webcasting, Internet and Telecommunication, vol. 13, pp. 203 - 210, http://dx.doi.org/10.7236/jiibc.2013.13.6.203
Ahmed MS; Alam S; Barlow M, 2018, 'A Multi-Layer Artificial Neural Network Approach for Runway Configuration Prediction', Spain, presented at ICRAT, Spain, 25 June 2018 - 29 June 2018, https://www.semanticscholar.org/paper/A-Multi-Layer-Artificial-Neural-Network-Approach-Ahmed-Alam/16b5b6eef75229b4ce95e1ddaa2c0855071a5a1d
Ahmed MS; Alam S, 2016, 'An evolutionary optimization approach to maximize runway throughput capacity for hub and spoke airports', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Canberra, AUSTRALIA, pp. 313 - 323, presented at 2nd Australasian Conference on Artificial Life and Computational Intelligence (ACALCI), Canberra, AUSTRALIA, 02 February 2016 - 05 February 2016, http://dx.doi.org/10.1007/978-3-319-28270-1_26