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Dr Shadi Abpeikar

Dr Shadi Abpeikar

Research Fellow
UNSW Canberra
School of Eng & Tech

Shadi Abpeikar is a senior research associate in the School of Engineering and Technology at the University of New South Wales, Canberra. 

Shadi completed her Bachelor's in Applied Mathematics in Iran. She got her Master's 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 for her bachelor's degree from the Iran University of Science and Technology in 2011, and the award of the best master's thesis from 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. 
E-mail
s.abpeikar@adfa.edu.au
  • Book Chapters | 2022
    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
  • Journal articles | 2025
    Ghanem R; Ali IM; Abpeikar S; Kasmarik K; Garratt M, 2025, 'Optimizing and predicting swarming collective motion performance for coverage problems solving: A simulation-optimization approach', Engineering Applications of Artificial Intelligence, 139, http://dx.doi.org/10.1016/j.engappai.2024.109522
    Journal articles | 2024
    Kasmarik K; Khani M; Abpeikar S; Barlow M; Carter O; Irish M, 2024, 'Competence Awareness for Humans and Machines: A Survey and Future Research Directions from Psychology', ACM Computing Surveys, 57, http://dx.doi.org/10.1145/3689626
    Journal articles | 2023
    Abpeikar S; Kasmarik K; Garratt M, 2023, 'Iterative transfer learning for automatic collective motion tuning on multiple robot platforms', Frontiers in Neurorobotics, 17, pp. 1113991, http://dx.doi.org/10.3389/fnbot.2023.1113991
    Journal articles | 2023
    Abpeikar S; Kasmarik K, 2023, 'Motion Behaviour Recognition Dataset Collected from Human Perception of Collective Motion', Data in Brief, 47, pp. 108976, http://dx.doi.org/10.1016/j.dib.2023.108976
    Journal articles | 2023
    Yang S; Samarasinghe D; Arukgoda A; Abpeikar S; Lakshika E; Barlow M, 2023, 'Automatic Recognition of Collective Emergent Behaviors Using Behavioral Metrics', IEEE Access, 11, pp. 89077 - 89092, http://dx.doi.org/10.1109/ACCESS.2023.3304682
    Journal articles | 2022
    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, 72, pp. 101085, http://dx.doi.org/10.1016/j.swevo.2022.101085
    Journal articles | 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, 75, pp. 101171, http://dx.doi.org/10.1016/j.swevo.2022.101171
    Journal articles | 2020
    Abpeikar S; Ghatee M; Foresti GL; Micheloni C, 2020, 'Adaptive neural tree exploiting expert nodes to classify high-dimensional data', Neural Networks, 124, pp. 20 - 38, http://dx.doi.org/10.1016/j.neunet.2019.12.029
    Journal articles | 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, 131, pp. 12 - 36, http://dx.doi.org/10.1016/j.csda.2018.08.015
    Journal articles | 2019
    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, 31, pp. 7131 - 7151, http://dx.doi.org/10.1007/s00521-018-3543-9
    Journal articles | 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, 137, pp. 281 - 291, http://dx.doi.org/10.1016/j.eswa.2019.07.003
    Journal articles | 2018
    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, 39, pp. 1245 - 1262, http://dx.doi.org/10.1080/02522667.2017.1324588
    Journal articles | 2018
    2018, 'A real-time decision support system for bridge management based on the rules generalized by CART decision tree and SMO algorithms',
    Journal articles | 2014
    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, 42, pp. 293 - 306, http://dx.doi.org/10.1016/j.tust.2014.03.008
  • Conference Papers | 2023
    Abpeikar S; Kasmarik K; Garratt M, 2023, 'A Mechanism for Transferring Evolved Collective Motion Behaviour Libraries onto Real Collective Robots', in Australasian Conference on Robotics and Automation, ACRA, Sydney, Australia, presented at Australasian Conference on Robotics and Automation, Sydney, Australia, 04 December 2023, https://ssl.linklings.net/conferences/acra/acra2023_proceedings/views/at_a_glance.html
    Conference Papers | 2023
    Abpeikar S; Kasmarik K; Garratt M, 2023, 'Automatic Multi-Class Collective Motion Recognition Using a Decision Forest Extracted from Neural Networks', in 2023 IEEE Region 10 Symposium, TENSYMP 2023, Institute of Electrical and Electronics Engineers (IEEE), Canberra, pp. 1 - 6, presented at IEEE TenSymp, Canberra, 05 September 2023 - 08 September 2023, http://dx.doi.org/10.1109/TENSYMP55890.2023.10223653
    Conference Papers | 2023
    Kasmarik K; Debie E; Abpeikar S; Garratt M; Qiu H; Barlow M; Khan M, 2023, 'Generating Collective Motion Behaviour Libraries using Developmental Evolution', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer, Brisbane, pp. 441 - 452, presented at Australasian Joint Conference on Artificial Intelligence, Brisbane, http://dx.doi.org/10.1007/978-981-99-8391-9_35
    Conference Papers | 2023
    Khani MM; Kasmarik K; Abpeikar S; Barlow M, 2023, 'Using Abstraction Graphs to Promote Exploration in Curiosity-Inspired Intrinsic Motivation', in International Joint Conference on Computational Intelligence, pp. 505 - 513, http://dx.doi.org/10.5220/0012181400003595
    Conference Papers | 2023
    Khattab N; Kasmarik K; Abpeikar S; Garratt M, 2023, 'Autonomous Recognition of Collective Motion Behaviours in Robotic Swarms from Video Using a Deep Neural Network', in 2023 International Joint Conference on Neural Networks (IJCNN), IEEE, Brisbane, Australia, presented at International Joint Conference on Neural Networks, Brisbane, Australia, 18 June 2023 - 23 June 2023, http://dx.doi.org/10.1109/IJCNN54540.2023.10191933
    Conference Posters | 2023
    Locke R; Kasmarik K; Abpeikar S; Ravi S, 2023, 'A Framework for Asymmetric Robot Operations for Corridor Navigation', Sydney, presented at Australasian Conference on Robotics and Automation ACRA, Sydney
    Conference Papers | 2022
    Abpeikar S; Kasmarik K; Garratt M, 2022, 'Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic Goals', in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Nature, Perth, Australia, pp. 761 - 774, presented at Australasian Joint Conference on Artificial Intelligence, Perth, Australia, http://dx.doi.org/10.1007/978-3-031-22695-3_53
    Conference Posters | 2022
    Abpeikar S; Kasmarik K; Tran P; Garratt M, (eds.), 2022, 'Transfer Learning for Autonomous Recognition of Swarm Behaviour in UGVs', Sydney, Vol. 13151 LNAI, pp. 531 - 542, 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
    Conference Papers | 2022
    Jeston-Fenton L; Abpeikar S; Kasmarik K, 2022, 'Visualisation of Swarm Metrics on a Handheld Device for Human-Swarm Interaction', in Proceedings of the International Conference on Information Visualisation, Institute of Electrical and Electronics Engineers (IEEE), Vienna, Austria, pp. 149 - 154, presented at 26th International Conference on Information Visualisation IV2022, Vienna, Austria, - 22 July 2022, http://dx.doi.org/10.1109/IV56949.2022.00032
    Conference Papers | 2020
    Kasmarik K; Abpeikar S; Khan MM; Khattab N; Barlow M; Garratt M, 2020, 'Autonomous Recognition of Collective Behaviour in Robot Swarms', in Gallagher M; Moustafa N; Lakshika E (eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Springer Nature, Canberra, Australia, pp. 281 - 293, presented at 33rd Australasian Joint Conference on Artificial Intelligence, Canberra, Australia, 29 November 2020, http://dx.doi.org/10.1007/978-3-030-64984-5_22
    Conference Presentations | 2018
    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
    Conference Presentations | 2014
    Abpeikar S; Ghatee M, 2014, 'KNOWLEDGE BASED SOFTWARE TO MANAGE TUNNEL FOR ONLINE CONDITIONS', presented at Civil Infrastructure Researches, 28 March 2014
    Conference Presentations | 2013
    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
    Conference Presentations | 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
    Conference Presentations | 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

External:

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

Internal:

  • Abpeikar, S., Ghodrat, M., Frankcombe, T., Wang, M., 2024, $45,000, Li-Ion Battery Fire Risk Mitigation using Deep Learning Approach. 
  • 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.

  • Best paper award in IEEE TenSYMP conference, Canberra, Australia, 2023. 
  • Associate Fellowship of the Higher Education Academy (AFHEA), AdvanceHE. UK in 2021.
  • 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. 

Activities: 

  1. IEEE ACT Section Young Professional Executive Committee, 2023.
  2. Publicity chair of Australasian Conference on Robotics and Automation (ACRA) 2023.
  3. Organizing committee of the "Bio-Inspired Robot Navigation and Control in Unknown and Limited Visibility Environments" workshop of Ubiquitous Robots (UR) 2023.
  4. Activity lead in Young Women in Engineering (YoWIE), since 2020. 
  5. Scientific committee member for the Artificial Intelligence and Smart Vehicles (ICAISV 2023) Conference, Tehran, Iran.
  6. Executive member of Early Career Academic Network (ECAN) in UNSW Canberra, since 2021. 

Professional Memberships: 

  1. IEEE Computational Intelligence Society (CIS)

  2. IEEE Woman in Engineering (WIE)

My Research Supervision

  • Mrs Mahtab Mohtasham Khani (PhD)

  • Mr Ryan Locke (PhD)

  •  

    Mr Hadha Afrisal (PhD)