**Dr. Shafi holds a PhD in Computer Science, an M.Sc. in Telecoms Engineering and a B.Sc. in Electrical Engineering. His research interests include development of computational intelligence based techniques for decision analytics in diverse domains including defence, logistics and computer security domains. In this context, he has contributed in several disciplines including genetic-based machine learning, evolutionary optimisation and evolutionary game theory and has authored or co-authored several publications so far in related disciplines. He is a Lecturer in the School of Engineering and Technology (SEIT) at the University of New South Wales, Canberra (aka, UNSW@ADFA) and part of newly established Capability Systems Centre. He is a member of IEEE, the Australian Society of Operations Research (ASOR), IEEE Computational Intelligence Society (IEEE-CIS) and an executive member of the ACT Chapter of IEEE-CIS. He is serving as an elected organising member of International Workshop on Learning Classifier Systems (IWLCS) since 2013 and has served as the publicity chair of the 2012 IEEE World Congress on Computational Intelligence (WCCI). He is a program committee member for ACM Genetic and Evolutionary Computation Conference (GECCO) and IEEE Congress on Evolutionary Computation (CEC) since 2005.**

# Dr Kamran Shafi

LOCATION

Building 16 Room 217

School of Engineering and Information Technology, The University of New South Wales, Australian Defence Force Academy, PO Box 7916, Canberra BC ACT 2610, AUSTRALIA

## Journal articles

Abdelbari H; Shafi K, 2018, 'Learning Structures of Conceptual Models from Observed Dynamics Using Evolutionary Echo State Networks', *Journal of Artificial Intelligence and Soft Computing Research*, vol. 8, pp. 133 - 154, 10.1515/jaiscr-2018-0010

Gout J; Quade M; Shafi K; Niven RK; Abel M, 2018, 'Synchronization control of oscillator networks using symbolic regression', *Nonlinear Dynamics*, vol. 91, pp. 1001 - 1021, 10.1007/s11071-017-3925-z

Shafi K; Debie E; Oliver D, 2018, 'Historical operational data analysis for defence preparedness planning', *Journal of Defense Modeling and Simulation*, vol. 15, pp. 231 - 244, 10.1177/1548512916664803

Shafi K; Elsayed S; Sarker R; Ryan M, 2017, 'Scenario-based multi-period program optimization for capability-based planning using evolutionary algorithms', *Applied Soft Computing Journal*, vol. 56, pp. 717 - 729, 10.1016/j.asoc.2016.07.009

Debie E; Shafi K; Merrick K; Lokan C, 2017, 'On Taxonomy and Evaluation of Feature Selection-Based Learning Classifier System Ensemble Approaches for Data Mining Problems', *Computational Intelligence*, vol. 33, pp. 554 - 578, 10.1111/coin.12099

Shafi K; Abbass HA, 2017, 'A Survey of Learning Classifier Systems in Games', *IEEE Computational Intelligence Magazine*, vol. 12, pp. 42 - 55, 10.1109/MCI.2016.2627670

Zhang B; Shafi K; Abbass H, 2017, 'On Benchmark Problems and Metrics for Decision Space Performance Analysis in Multi-Objective Optimization', *International Journal of Computational Intelligence and Applications*, vol. 16, 10.1142/S1469026817500067

Abdelbari H; Shafi K, 2017, 'A computational Intelligence-based Method to ‘Learn’ Causal Loop Diagram-like Structures from Observed Data', *System Dynamics Review*, vol. 33, pp. 3 - 33, 10.1002/sdr.1567

Debie E; Shafi K, 2017, 'Implications of the curse of dimensionality for supervised learning classifier systems: theoretical and empirical analyses', *Pattern Analysis and Applications*, pp. 1 - 18, 10.1007/s10044-017-0649-0

Quade M; Abel M; Shafi K; Niven RK; Noack BR, 2016, 'Prediction of dynamical systems by symbolic regression', *Physical Review E*, vol. 94, 10.1103/PhysRevE.94.012214

Merrick K; Hardhienata M; Shafi K; Hu J, 2016, 'A survey of game theoretic approaches to modelling decision-making in information warfare scenarios', *Future Internet*, vol. 8, 10.3390/fi8030034

Kovacs T; Iqbal M; Shafi K; Urbanowicz R, 2015, 'Special issue on the 20th anniversary of XCS', *Evolutionary Intelligence*, 10.1007/s12065-015-0131-0

Wang SL; Shafi K; Lokan C; Abbass HA, 2013, 'An agent-based model to simulate and analyse behaviour under noisy and deceptive information', *Adaptive Behavior*, vol. 21, pp. 96 - 117, 10.1177/1059712312472212

Shafi K; Abbass HA, 2013, 'Evaluation of an adaptive genetic-based signature extraction system for network intrusion detection', *Pattern Analysis and Applications*, vol. 16, pp. 549 - 566, 10.1007/s10044-011-0255-5

Shafi K; Urbanowicz R; Iqbal M, 2013, 'Special issue on advances in Learning Classifier Systems', *Evolutionary Intelligence*, pp. 1 - 2, 10.1007/s12065-013-0097-8

Debie E; Shafi K; Lokan C; Merrick K, 2013, 'Performance analysis of rough set ensemble of learning classifier systems with differential evolution based rule discovery', *Evolutionary Intelligence*, vol. 6, pp. 109 - 126, 10.1007/s12065-013-0093-z

Merrick KE; Shafi K, 2013, 'A game theoretic framework for incentive-based models of intrinsic motivation in artificial systems', *Frontiers in Psychology*, vol. 4, 10.3389/fpsyg.2013.00791

Shafi K; Bender A; Zhong W; Abbass HA, 2012, 'Spatio-temporal dynamics of security investments in an interdependent risk environment', *Physica A: Statistical Mechanics and its Applications*, vol. 391, pp. 5004 - 5017, 10.1016/j.physa.2012.05.020

Merrick KE; Shafi K, 2011, 'Achievement, affiliation, and power: Motive profiles for artificial agents', *Adaptive Behavior*, vol. 19, pp. 40 - 62, 10.1177/1059712310395953

Shafi K; Merrick K, 2011, 'A curious agent for network anomaly detection', *10th International Conference on Autonomous Agents and Multiagent Systems 2011, AAMAS 2011*, vol. 2, pp. 1009 - 1010

Wang SL; Shafi K; Lokan C; Abbass HA, 2010, 'Adversarial learning: The impact of statistical sample selection techniques on neural ensembles', *Evolving Systems*, vol. 1, pp. 181 - 197, 10.1007/s12530-010-9013-y

Shafi K; Kovacs T; Abbass HA; Zhu W, 2009, 'Intrusion detection with evolutionary learning classifier systems', *Natural Computing*, vol. 8, pp. 3 - 27, 10.1007/s11047-007-9053-9

Shafi K; Abbass HA, 2009, 'An adaptive genetic-based signature learning system for intrusion detection', *Expert Systems with Applications*, vol. 36, pp. 12036 - 12043, 10.1016/j.eswa.2009.03.036

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

Shafi K; Abbass HA, 2007, 'Biologically-inspired Complex Adaptive Systems approaches to Network Intrusion Detection', *Information Security Technical Report*, vol. 12, pp. 209 - 217, 10.1016/j.istr.2007.09.001

## Conference Papers

Mehmood K; Essam D; Shafi K, 2019, 'Sentiment analysis system for Roman Urdu', in *Advances in Intelligent Systems and Computing*, pp. 29 - 42, presented at , 10.1007/978-3-030-01174-1_3

Abdelbari H; Shafi K, 2018, 'Sensitivity analysis of a causality-informed genetic programming ensemble for inferring dynamical systems', in *ACM International Conference Proceeding Series*, pp. 57 - 61, presented at , 10.1145/3177457.3177472

Chandio AA; Pickering M; Shafi K, 2018, 'Character classification and recognition for Urdu texts in natural scene images', in *2018 International Conference on Computing, Mathematics and Engineering Technologies: Invent, Innovate and Integrate for Socioeconomic Development, iCoMET 2018 - Proceedings*, pp. 1 - 6, presented at , 10.1109/ICOMET.2018.8346341

Ali A; Pickering M; Shafi K, 2018, 'Urdu Natural Scene Character Recognition using Convolutional Neural Networks', in *2nd IEEE International Workshop on Arabic and Derived Script Analysis and Recognition, ASAR 2018*, pp. 29 - 34, presented at , 10.1109/ASAR.2018.8480202

Merrick K; Hardhienata M; Shafi K; Hu J, 2017, 'Using game theory with intrinsic motivation to examine anti-hacking policies for autonomous systems', in *2016 IEEE Symposium Series on Computational Intelligence, SSCI 2016*, presented at , 10.1109/SSCI.2016.7850035

Abdelbari H; Shafi K, 2017, 'A genetic programming ensemble method for learning dynamical system models', in *ACM International Conference Proceeding Series*, pp. 47 - 51, presented at , 10.1145/3036331.3036336

Shafi K, 2017, 'A machine competence based analytical model to study trust calibration in supervised autonomous systems', in *9th International Conference on Advanced Computational Intelligence, ICACI 2017*, pp. 245 - 252, presented at , 10.1109/ICACI.2017.7974516

Ghoneim A; Shafi K, 2016, 'The effect of risk perceived payoffs in iterated interdependent security games', in *Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)*, pp. 348 - 359, presented at , 10.1007/978-3-319-28270-1_29

Kuber K; Nakata M; Shafi K, 2016, 'International Workshop on Evolutionary Rule-Based Machine Learning Workshop (IWERML) welcome & organization', in *GECCO 2016 Companion - Proceedings of the 2016 Genetic and Evolutionary Computation Conference*, pp. 1409, presented at , 10.1145/2908961.2931739

Zhang B; Shafi K; Abbass HA, 2016, 'Hybrid knowledge-based evolutionary many-objective optimization', in *2016 IEEE Congress on Evolutionary Computation, CEC 2016*, pp. 1007 - 1014, presented at , 10.1109/CEC.2016.7743899

Abdelbari H; Shafi K, 2016, 'Optimising a constrained echo state network using evolutionary algorithms for learning mental models of complex dynamical systems', in *Proceedings of the International Joint Conference on Neural Networks*, pp. 4735 - 4742, presented at , 10.1109/IJCNN.2016.7727822

Abdelbari H; el sawah S; Shafi K, 2015, 'Model learning using genetic programming under full and partial system information conditions', in *Proceedings of the 33rd International Conference of the System Dynamics Society*, 33rd International Conference of the System Dynamics Society, Cambridge, Massachusetts, USA, presented at 33rd International Conference of the System Dynamics Society, Cambridge, Massachusetts, USA, 19 - 23 July 2015

Debie E; Shafi K; Merrick K; Lokan CJ, 2014, 'An Online Evolutionary Rule Learning Algorithm with Incremental Attribute Discretization', in *2014 IEEE Congress on Evolutionary Computation (CEC)*, IEEE, Beijing, China, pp. 1116 - 1123, presented at IEEE Congress on Evolutionary Computation, Beijing, China, 06 - 11 July 2014, 10.1109/CEC.2014.6900623

Shafi K; Abbass HA, 2014, 'Analysis of online signature based learning classifier systems for noisy environments: A feedback control theoretic approach', in *Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)*, pp. 395 - 406, presented at

Zhang B; Shafi K; Abbass H, 2014, 'Online knowledge-based evolutionary multi-objective optimization', in *Proceedings of the 2014 IEEE Congress on Evolutionary Computation, CEC 2014*, Institute of Electrical and Electronics Engineers Inc., Beijing, China, pp. 2222 - 2229, presented at IEEE World Congress on Computational Intelligence (IEEE-WCCI 2014), Beijing, China, 06 - 11 July 2014, 10.1109/CEC.2014.6900610

Waldrip SH; Niven RK; Abel M; Schlegel M, (eds.), 2014, 'Maximum Entropy Analysis of Hydraulic Pipe Networks', in *BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING, MAXENT 2013*, AMER INST PHYSICS, Canberra, AUSTRALIA, pp. 180 - 186, presented at 33rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt), Canberra, AUSTRALIA, 15 - 20 December 2013, 10.1063/1.4903729

Zhang B; Shafi K; Abbass HA, 2013, 'Robo-teacher: A computational simulation based educational system to improve cyber security', in *Advances in Intelligent Systems and Computing*, pp. 179 - 186, presented at , 10.1007/978-3-642-37374-9_18

Wang SL; Shafi K; Lokan C; Abbass HA, 2013, 'Neuro-evolution of escape behaviour under high level of deception and noise', in *Advances in Intelligent Systems and Computing*, pp. 671 - 681, presented at , 10.1007/978-3-642-37374-9_64

Debie E; Shafi K; Lokan C, 2013, 'REUCS-CRG: Reduct based ensemble of supervised classifier system with combinatorial rule generation for data mining', in *GECCO 2013 - Proceedings of the 2013 Genetic and Evolutionary Computation Conference Companion*, pp. 1251 - 1258, presented at , 10.1145/2464576.2482703

Debie E; Shafi K; Lokan C; Merrick K, 2013, 'Investigating Differential Evolution based rule discovery in learning classifier systems', in *Proceedings of the 2013 IEEE Symposium on Differential Evolution, SDE 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013*, pp. 77 - 84, presented at , 10.1109/SDE.2013.6601445

Debie E; Shafi K; Lokan C; Merrick K, 2013, 'Reduct based ensemble of learning classifier system for real-valued classification problems', in *Proceedings of the 2013 IEEE Symposium on Computational Intelligence and Ensemble Learning, CIEL 2013 - 2013 IEEE Symposium Series on Computational Intelligence, SSCI 2013*, pp. 66 - 73, presented at , 10.1109/CIEL.2013.6613142

Cowen B; Shafi K, 2013, 'Fractal methods for the representation and analysis of polymorphism in malware', in *2013 Military Communications and Information Systems Conference, MilCIS 2013 - Proceedings*, presented at , 10.1109/MilCIS.2013.6694490

Zhang B; Shafi K; Abbass H, 2013, 'Robo-Teacher: A Computational Simulation Based Educational System to Improve Cyber Security', in *Advances in Intelligent Systems and Computing*, Springer, pp. 179 - 186, presented at , 10.1007/978-3-642-37374-9_18

Wang S; Shafi K; Lokan CJ; Abbass HA, 2012, 'Neuro-evolution of Escape Behaviour under High Level of Deception and Noise', in *Proceedings of 1st International Conference on Robot Intelligence Technology and Applications (RiTA 2012)*, Springer, Gwangju, Korea, pp. 1 - 8, presented at 1st International Conference on Robot Intelligence Technology and Applications (RiTA 2012), Gwangju, Korea, 16 - 18 December 2012

Zhang B; Shafi K; Abbass HA, 2012, 'A density based approach to the access point layout smart distribution grid design optimization problem', in *Simulated Evolution and Learning*, Springer-Verlag Berlin And Heidelberg Gmbh & Co. K, Hanoi, pp. 73 - 82, presented at 9th International Conference on Simulated Evolution and Learning, SEAL 2012, Hanoi, 16 - 19 December 2012, 10.1007/978-3-642-34859-4_8

Zhang B; Shafi K; Abbass HA, 2012, 'A density based approach to the access point layout smart distribution grid design optimization problem', in *Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)*, pp. 73 - 82, presented at , 10.1007/978-3-642-34859-4_8

Shafi K; Bender A; Abbass HA, 2012, 'Multi objective learning classifier systems based hyperheuristics for modularised fleet mix problem', in

Xiong J; Shafi K; Abbass HA, 2012, 'Multi-Uncertainty Problems (MUP) with applications to managing risk in resource-constrained project scheduling', in *2012 IEEE Congress on Evolutionary Computation, CEC 2012*, presented at , 10.1109/CEC.2012.6256118

Shafi K; Merrick KE; Debie E, 2012, 'Evolution of intrinsic motives in multi-agent simulations', in

Cowen B; Shafi K, 2012, 'Fractal Methods for the Representation and Analysis of Polymorphism in Malware Fractal Methods for the Representation and Analysis of Polymorphism in Malware', in *2013 MILITARY COMMUNICATIONS AND INFORMATION SYSTEMS CONFERENCE (MILCIS)*, IEEE, Canberra, AUSTRALIA, presented at Military Communications and Information Systems Conference (MilCIS), Canberra, AUSTRALIA, 12 - 14 November 2013

Shafi K; Merrick K, 2011, 'A Curious Agent for Network Anomaly Detection', in *Proceedings of the Tenth International Conference on Autonomous Agents and Multi Agent Systems*, International Foundation for Autonomous Agents and Multiagent Systems, Taipei, Taiwan, pp. 1075 - 1076, presented at Autonomous Agents and Multi Agent Systems, Taipei, Taiwan, 01 May 2011, http://www.ifaamas.org/Proceedings/aamas2011/index.html

Merrick K; Shafi K; Isaacs A, 2011, 'Using Approach-Avoidance Motivation to Model Adaptive Social-Forces in Artificial Agents', in *Proceedings of the Adaptive and Learning Agents Workshop 2011*, AAMAS 2011 Workshop on Adaptive Learning Agents, Taipei, pp. 83 - 90, presented at AAMAS 2011 Workshop on Adaptive Learning Agents, Taipei, 02 May 2011

Merrick K; Gu N; Niazi M; Shafi K, 2011, 'Motivation, Cyberworlds and Collective Intelligence in Design', in *Circuit Bending, Breaking and Mending: Proceedings of the 16th International Conference on Computer Aided Architectural Design Research*, CAADRIA, Newcastle, NSW, pp. 697 - 706, presented at 16th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2011, Newcastle, NSW, 27 - 29 April 2011, http://cumincad.scix.net/cgi-bin/works/Show?caadria2011_066

Shafi K; Bender A; Abbass HA, 2011, 'Fleet estimation for defence logistics using a multi-objective Learning Classifier System', in *Genetic and Evolutionary Computation Conference, GECCO'11*, pp. 1195 - 1202, presented at , 10.1145/2001576.2001738

Merick K; Gu N; Niazi M; Shafi K, 2011, 'Motivation, cyberworlds and collective design', in *Circuit Bending, Breaking and Mending - Proceedings of the 16th International Conference on Computer-Aided Architectural Design Research in Asia, CAADRIA 2011*, pp. 697 - 706, presented at

Wang SL; Shafi K; Lokan C; Abbass HA, 2010, 'Robustness of neural ensembles against targeted and random Adversarial Learning', in *2010 IEEE World Congress on Computational Intelligence, WCCI 2010*, presented at , 10.1109/FUZZY.2010.5584822

Shafi K; Bender A; Abbass HA, 2010, 'Evolutionary dynamics of interdependent exogenous risks', in *2010 IEEE World Congress on Computational Intelligence, WCCI 2010 - 2010 IEEE Congress on Evolutionary Computation, CEC 2010*, presented at , 10.1109/CEC.2010.5586429

Merrick K; Shafi K, 2010, 'Agent models for self-motivated home-assistant bots', in *AIP Conference Proceedings*, pp. 131 - 150, presented at , 10.1063/1.3314265

Shafi K; Abbass HA; Zhu W, 2006, 'An Adaptive Rule-based Intrusion Detection Architecture', in *2006 RNSA Security Technology Conference*, RNSA Security Technology Conference 2006, Canberra, presented at RNSA Security Technology Conference 2006, Canberra, 19 - 21 September 2006

Shafi K; Abbass HA; Zhu W, 2006, 'The role of early stopping and population size in XCS for intrusion detection', in *Proceedings of the First International Conference on Advances in Natural Computation (ICNC 2005), Part III, Lecture Notes in Computer Science 3612/2005*, Springer, pp. 50 - 57, presented at

Shafi K; Abbass HA; Zhu W, 2006, 'The role of early stopping and population size in XCS for intrusion detection', in

Dam HH; Shafi K; Abbass HA, 2005, 'Can evolutionary computation handle large datasets? A study into network intrusion detection', in

## Conference Proceedings (Editor of)

Niven RK; Brewer B; Paull D; Shafti K; Stokes B, (eds.), 2014, 'Preface: Bayesian Inference and Maximum Entropy Methods in Science and Engineering', in *Proceedings of the 33rd International Workshop on Bayesian Inference and Maximum Entopy Methods in Science and Engineering (MaxEnt 2013)*, AIP Publishing, Canberra, ACT, Australia, pp. 1 - 3, presented at 33rd International Workshop on Bayesian Inference and Maximum Entopy Methods in Science and Engineering (MaxEnt 2013), Canberra, ACT, Australia, 15 - 20 December 2013

Niven RK; Brewer B; Paull D; Shafi K; Stokes B, (eds.), 2014, 'BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: Proceedings of the 33rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (', in *BAYESIAN INFERENCE AND MAXIMUM ENTROPY METHODS IN SCIENCE AND ENGINEERING: Proceedings of the 33rd International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (*, AIP Publishing, Canberra, ACT, Australia, presented at 33rd International Workshop on Bayesian Inference and Maximum Entopy Methods in Science and Engineering (MaxEnt 2013), Canberra, ACT, Australia, 15 - 20 December 2013, 10.1063/v1636.frontmatter

## Conference Presentations

Niven R; Abel M; Waldrip S; Schlegel M; Noack B; Abbass H; Shafi K, 2014, 'Analysis of Flow Networks by the Maximum Entropy Method', in *Analysis of Flow Networks by the Maximum Entropy Method*, International Conference on Statistical Physics (Sigma Phi 2014), Rhodes, Greece, presented at International Conference on Statistical Physics (Sigma Phi 2014), Rhodes, Greece, 07 - 11 July 2014, http://www.sigmaphi.polito.it/index.php?option=com_content&view=article&id=11&Itemid=111