By Dr Shadi Abpeikar

Book Chapters

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

Li A; Abpeikar S; Wang M; Frankcombe T; Ghodrat M, 2025, 'An integration framework based on deep learning and CFD for early detection of lithium-ion battery thermal runaway', Applied Thermal Engineering, 274, http://dx.doi.org/10.1016/j.applthermaleng.2025.126460

Abpeikar S; Garratt M; Anavatti S; Ghanem R; Kasmarik K, 2025, 'A Dual-Task Deep Reinforcement Learning and Domain Transfer Architecture for Bootstrapping Swarming Collective Motion Skills', IEEE Systems Journal, 19, pp. 327 - 338, http://dx.doi.org/10.1109/JSYST.2025.3536783

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

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

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

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

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

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

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

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

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

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

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

Abpeykar S; Ghatee M; Abpeikar S, 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/

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

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

Li A; Abpeikar S; Wang M; Frankcombe T; Ghodrat M, 2024, 'An Exploratory Review on Lithium-Ion Battery Fire Risk Mitigation Using Deep Learning Approaches', in Kramer M; Niven R; Ghodrat M; Liow J-L (eds.), Proceedings of the 24th Australasian Fluid Mechanics Conference, Australasian Fluid Mechanics Society (AFMS), Canberra, presented at The 24th Australasian Fluid Mechanics Conference (AFMC2024), Canberra, 01 December 2024 - 05 December 2024, http://dx.doi.org/10.5281/zenodo.14213411

Abpeikar S; Garratt M; Kasmarik K; Anavatti S; Islam R, 2024, 'Integrating Large Language Models for Task Planning in Robots-A case Study with NAO', in 2024 6th International Conference on Control and Robotics Iccr 2024, pp. 217 - 225, http://dx.doi.org/10.1109/ICCR64365.2024.10927585

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

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

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

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

Kasmarik K; Debie E; Abpeikar S; Garratt M; Qiu H; Barlow M; Khan M, 2023, 'Generating Collective Motion Behaviour Libraries using Developmental Evolution', in Liu T; Yue L; Webb G; Wang D (eds.), 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, - 01 December 2023, http://dx.doi.org/10.1007/978-981-99-8391-9_35

Jeston-Fenton L; Abpeikar S; Kasmarik K, 2022, 'Visualisation of Swarm Metrics on a Handheld Device for Human-Swarm Interaction', in Banissi E; Ursyn A; Bannatyne MWM; Pires JM; Datia N; Nazemi K; Kovalerchuk B; Andonie R; Nakayama M; Sciarrone F; Huang W; Nguyen QV; Mabakane MS; Rusu A; Temperini M; Cvek U; Trutschl M; Mueller H; Siirtola H; Woo WL; Francese R; Rossano V; DiMascio T; Bouali F; Venturini G; Kernbach S; Malandrino D; Zaccagnin R; Zhang JJ; Yang X; Geroimenko V (eds.), Proceedings of the International Conference on Information Visualisation, 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

Abpeikar S; Kasmarik K; Garratt M, 2022, 'Reinforcement Learning for Collective Motion Tuning in the Presence of Extrinsic Goals', in Aziz H; Correa D; French T (eds.), 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, - 09 December 2022, http://dx.doi.org/10.1007/978-3-031-22695-3_53

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 - 30 November 2020, http://dx.doi.org/10.1007/978-3-030-64984-5_22

Conference Posters

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

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 Presentations

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

Abpeikar S; Ghatee M, 2014, 'KNOWLEDGE BASED SOFTWARE TO MANAGE TUNNEL FOR ONLINE CONDITIONS', presented at Civil Infrastructure Researches, 28 March 2014

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

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

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

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