Shadi Abpeikar

Senior Research Associate
Research Fellow

Shadi Abpeikar is a research associate in the School of Engineering and Information Technology at the University of New South Wales, Canberra, under the supervision of A/Prof Kathryn Kasmarik. 

Shadi completed her Bachelor in Applied Mathematics in Iran. She got her Master and PhD in Computer Science from the AmirKabir University of Technology in Iran, in 2013 and 2019, respectively. She received the award of the highest graduation score of a bachelor degree from Iran University of Science and Technology in 2011, and the award of the best master thesis of the department of mathematics and computer science of the AmirKabir University of Technology in 2013. Also, Shadi completed her sabbatical research at the University of Udine, in Italy in 2017. She started her career as a research associate at the University of New South Wales in July 2019. Her technical skills are computer programming with C#, Python, Java, Android, MATLAB, and HTML.  Also, her research interests are machine learning, swarm robotics, swarm intelligence algorithms, big data, feature selection, decision support systems, neural networks, neural trees and intelligent transportation systems. 

PUBLICATIONS
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Book Chapters
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Abpeikar S; Kasmarik K; Tran PV; Garratt M; Anavatti S; Khan M, 2022, 'Chapter 8 Tuning swarm behavior for environmental sensing tasks represented as coverage problems', in Artificial Intelligence and Data Science in Environmental Sensing, Elsevier, pp. 155 - 178, http://dx.doi.org/10.1016/b978-0-323-90508-4.00001-0
2022
Abpeikar S; Kasmarik K; Tran P; Garratt M; Anavatti S; Khan M, 2021, 'Tuning Swarm Behaviour for Environmental Sensing Tasks Represented as Coverage Problems', in Artificial Intelligence and Data Science in Environmental Sensing, pp. 155 - 178, http://dx.doi.org/10.1016/B978-0-323-90508-4.00001-0
2021
Conference Papers
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Jeston-Fenton L; Abpeikar S; Kasmarik K, 2022, 'Visualisation of Swarm Metrics on a Handheld Device for Human-Swarm Interaction', Vienna, Austria, presented at 26th International Conference on Information Visualisation IV2022, Vienna, Austria
2022
Abpeikar S; Kasmarik K; Garratt M, 2022, 'Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic Goals', Perth, Australia, presented at Australasian Joint Conference on Artificial Intelligence, Perth, Australia
2022
Kasmarik K; Abpeikar S; Khan MM; Khattab N; Barlow M; Garratt M, 2020, 'Autonomous Recognition of Collective Behaviour in Robot Swarms', Canberra, Australia, presented at 33rd Australasian Joint Conference on Artificial Intelligence, Canberra, Australia, 29 November 2020
2020
Conference Posters
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Abpeikar S; Kasmarik K; Tran P; Garratt M, 2022, 'Transfer Learning for Autonomous Recognition of Swarm Behaviour in UGVs', Sydney, presented at Australian Joint Conference on Artificial Intelligence, Sydney, 02 February 2022 - 04 February 2022, http://dx.doi.org/10.1007/978-3-030-97546-3_43
2022
Conference Presentations
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Abpeikar S; Ghatee M; Abpeikar S, 2018, 'A real-time rule-based system for bridge management based on CART decision tree and SMO algorithms.', presented at CoRR, 20 February 2018
2018
Abpeikar S; Ghatee M, 2014, 'KNOWLEDGE BASED SOFTWARE TO MANAGE TUNNEL FOR ONLINE CONDITIONS', presented at Civil Infrastructure Researches, 28 March 2014
2014
Abpeikar S; Ghatee M; Roshani F; Asadi R; Zaghi Z, 2013, 'Accident severity classification and important features extraction using fuzzy rule generation: Case study on UK accidents', presented at Proc 12th Int. Conf. Traffic Transp. Eng., 25 February 2013
2013
Asadi R; Roushani F; Ghatee M; Zaghi Z; Abpeikar S, 2013, 'A decision support system for commercial vehicle transportation using rule extraction methods', presented at The 12 th International Conference on Transportation Engineering, 25 February 2013
2013
Abpeikar S; Ghatee M; Roshani F, 2013, 'A Decision Support System to Manage Intelligent Bridge Transportation Systems to Prevent Accidents', presented at 11th Internation Conference on Intelligent Systems, 04 March 2013
2013
Journal articles
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Abpeikar S; Kasmarik K, 2023, 'Motion Behaviour Recognition Dataset Collected from Human Perception of Collective Motion', Data in Brief
2023
Abpeikar S; Kasmarik K; Garratt M; Hunjet R; Khan M; Qiu H, 2022, 'Automatic Collective Motion Tuning using Actor-Critic Deep Reinforcement Learning', Swarm and Evolutionary Computation, vol. 72, http://dx.doi.org/10.1016/j.swevo.2022.101085
2022
Tran P; Abpeikar S; Kasmarik K; Garratt M; Anavatti S, 2022, 'Frontier Led Swarming: Robust Multi-robot coverage of Unknown Environments', Swarm and Evolutionary Computation
2022
Abpeikar S; Ghatee M; Foresti GL; Micheloni C, 2020, 'Adaptive neural tree exploiting expert nodes to classify high-dimensional data', Neural Networks, vol. 124, pp. 20 - 38, http://dx.doi.org/10.1016/j.neunet.2019.12.029
2020
Abpeykar S; Ghatee M, 2019, 'An ensemble of RBF neural networks in decision tree structure with knowledge transferring to accelerate multi-classification', Neural Computing and Applications, vol. 31, pp. 7131 - 7151, http://dx.doi.org/10.1007/s00521-018-3543-9
2019
Abpeykar S; Ghatee M, 2019, 'Neural trees with peer-to-peer and server-to-client knowledge transferring models for high-dimensional data classification', Expert Systems with Applications, vol. 137, pp. 281 - 291, http://dx.doi.org/10.1016/j.eswa.2019.07.003
2019
Abpeykar S; Ghatee M; Zare H, 2019, 'Ensemble decision forest of RBF networks via hybrid feature clustering approach for high-dimensional data classification', Computational Statistics and Data Analysis, vol. 131, pp. 12 - 36, http://dx.doi.org/10.1016/j.csda.2018.08.015
2019
Abpeykar S; Ghatee M, 2018, 'Decent direction methods on the feasible region recognized by supervised learning metamodels to solve unstructured problems', JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, vol. 39, pp. 1245 - 1262, http://dx.doi.org/10.1080/02522667.2017.1324588
2018
Abpeykar S; Ghatee M, 2018, 'A real-time decision support system for bridge management based on the rules generalized by CART decision tree and SMO algorithms', AUT Journal of Mathematics and Computing, https://ajmc.aut.ac.ir/
2018
Abpeykar S; Ghatee M, 2014, 'Supervised and unsupervised learning DSS for incident management in intelligent tunnel: A case study in Tehran Niayesh tunnel', TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY, vol. 42, pp. 293 - 306, http://dx.doi.org/10.1016/j.tust.2014.03.008
2014

MEDIA RESEARCH ENGAGEMENT
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Activities: 

  1. IEEE ACT Section Young Professional Executive Committee, 2023.
  2. Executive member of Early Career Academic Network (ECAN) in UNSW Canberra, since 2021. 
  3. Volunteer in Young Women in Engineering (YoWIE), since 2020. 
  4. Invited as the scientific committee member for the Artificial Intelligence and Smart Vehicles (ICAISV 2023) Conference, Tehran, Iran.

Professional Memberships: 

  1. IEEE Computational Intelligence Society (CIS)

  2. IEEE Woman in Engineering (WIE)

AWARDS
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  • Graduated with the highest score for a bachelor's degree in applied mathematics from Iran University of Science and Technology.
  • Best master thesis of the department of mathematics and computer science of AmirKabir University of Technology, in 2013. 
  • Associate Fellowship of the Higher Education Academy (AFHEA), AdvanceHE. UK in 2021.

GRANTS
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External:

  • Abpeikar, S., 2022. Travel funding for the Australia and New Zealand IEEE Student and Young Professional Conference, $750

Internal:

  • Kasmarik, K., Garratt, M., Anavatti, S., Lakshika, E., Abpeikar, S., Debie, E., Arachchige, D., Wang, B., Perera, A., Yang, S., Abbass, H., Baker, D., Liu, X., Hattori, H., Woolley, M., Plested, J., El-Fiqi, H., Hossny, M., Hussein, A., Tran, P., Miroshnichenko, A., 2023, Heterogeneous Robot Swarms, $68,645, UNSW Research Infrastructure Scheme
  • Kasmarik, K., Garratt, M., Ravi, S., Anavatti, S., Abpeikar, S., 2022-23, Trusted Autonomy Self Forming Research Group Bid, School of Engineering and IT, UNSW Canberra, $27,911
  • Ghodrat, M., Sharples, J., Kasmarik, K., Abpeikar, S., Plested, J., Hattori, H., Miroshnichenko, A., 2022, Using AI in modelling bushfire propagation in complex environments, AI Hub Seed Funding, $45,000
  • Garratt, M., Kasmarik, K., Anavatti, S., Lynar, T., Ravi, S., Abpeikar, S., Tran, P., Khan, M., Muthusamy, P., 2021, Trusted Autonomy, SEIT Self-Forming Research Grant Bid, $55,133.
  • Garratt, M., Kasmarik, K., Abpeikar, S., Hunjet, R., 2020, Self-Generating Collective Behaviours in Swarms, UNSW Defence Related Research Scheme, $20,000.
Organisational units
lensSchool of Engineering & Information Technology
Sub Theme
lensTrusted Autonomy