D. De Silva, S. Withanage, V. Sumanasena, L. Gunasekara, H. Moraliyage, N. Mills, and M. Manic, “Robotic motion intelligence using vector symbolic architectures and blockchain-based smart contracts,” Robotics, vol. 14, no. 4, p. 38, Mar. 2025.

D. de Silva, O. Kaynak, M. El-Ayoubi, N. Mills, D. Alahakoon, and M. Manic, “Opportunities and challenges of generative artificial intelligence: Research, education, industry engagement, and social impact,” IEEE Industrial Electronics Magazine, vol. 19, no. 1, p. 30–45, Mar. 2025.

H. Moraliyage, G. Kulawardana, D. De Silva, Z. Issadeen, M. Manic, and S. Katsura, “Explainable artificial intelligence with integrated gradients for the detection of adversarial attacks on text classifiers,” Applied System Innovation, vol. 8, no. 1, p. 17, Jan. 2025.

S. Kahawala, N. Madhusanka, D. De Silva, E. Osipov, N. Mills, M. Manic, and A. Jennings, “Hypervector approximation of complex manifolds for artificial intelligence digital twins in smart cities,” Smart Cities, vol. 7, no. 6, p. 3371–3387, Nov. 2024.

D. Sodenaga, K. Shikata, I. Takeuchi, D. De Silva, and S. Katsura, “Structuring a model to estimate human joint motion from surface-electromyography,” in IECON 2024 - 50th Annual Conference of the IEEE Industrial Electronics Society. IEEE, Nov. 2024, p. 1–6.

C. Samarajeewa, D. De Silva, M. Manic, N. Mills, H. Moraliyage, D. Alahakoon, and A. Jennings, “An artificial intelligence framework for explainable drift detection in energy forecasting,” Energy and AI, vol. 17, p. 100403, Sep. 2024.

N. El-Haber, D. Burnett, A. Halford, K. Stamp, D. De Silva, M. Manic, and A. Jennings, “A lifecycle approach for artificial intelligence ethics in energy systems,” Energies, vol. 17, no. 14, p. 3572, Jul. 2024.

G. Gamage, D. De Silva, N. Mills, D. Alahakoon, and M. Manic, “Emotion aware: an artificial intelligence framework for adaptable, robust, explainable, and multi-granular emotion analysis,” Journal of Big Data, vol. 11, no. 1, Jul. 2024.

C. Samarajeewa, D. De Silva, E. Osipov, D. Alahakoon, and M. Manic, “Causal reasoning in large language models using causal graph retrieval augmented generation,” in 2024 16th International Conference on Human System Interaction (HSI). IEEE, Jul. 2024, p. 1–6.

D. Sodenaga, I. Takeuchi, D. D. Silva, and S. Katsura, “Prediction of fingertip force based on the muscle characteristics using element description method,” in 2024 IEEE 33rd International Symposium on Industrial Electronics (ISIE). IEEE, Jun. 2024, p. 1–6.

N. Mills, Z. Issadeen, A. Matharaarachchi, T. Bandaragoda, D. De Silva, A. Jennings, and M. Manic, “A cloud-based architecture for explainable big data analytics using self-structuring artificial intelligence,” Discover Artificial Intelligence, vol. 4, no. 1, May 2024.

E. Osipov, S. Kahawala, D. Haputhanthri, T. Kempitiya, D. De Silva, D. Alahakoon, and D. Kleyko, “Hyperseed: Unsupervised learning with vector symbolic architectures,” IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 5, p. 6583–6597, May 2024.

G. Gamage, N. Mills, D. De Silva, M. Manic, H. Moraliyage, A. Jennings, and D. Alahakoon, “Multi-agent rag chatbot architecture for decision support in net-zero emission energy systems,” in 2024 IEEE International Conference on Industrial Technology (ICIT). IEEE, Mar. 2024, p. 1–6.

S. Ranasinghe, D. De Silva, N. Mills, D. Alahakoon, M. Manic, Y. Lim, and W. Ranasinghe, “Addressing the productivity paradox in healthcare with retrieval augmented generative ai chatbots,” in 2024 IEEE International Conference on Industrial Technology (ICIT). IEEE, Mar. 2024, p. 1–6.

C. Samarajeewa, D. De Silva, M. Manic, N. Mills, P. Rathnayaka, and A. Jennings, “Explainable artificial intelligence for crowd forecasting using global ensemble echo state networks,” IEEE Open Journal of the Industrial Electronics Society, vol. 5, p. 415–427, 2024.

V. Sumanasena, H. Fernando, D. De Silva, B. Thileepan, A. Pasan, J. Samarawickrama, E. Osipov, and D. Alahakoon, “Hardware efficient direct policy imitation learning for robotic navigation in resource-constrained settings,” Sensors, vol. 24, no. 1, p. 185, Dec. 2023.

P. Rathnayaka, G. Gamage, D. De Silva, D. Alahakoon, and M. Manic, “Emozen: A robust word embedding for implicit and explicit expressions of emotion,” in IECON 2023- 49th Annual Conference of the IEEE Industrial Electronics Society. IEEE, Oct. 2023, p. 1–4.

G. Gamage, S. Kahawala, N. Mills, D. De Silva, M. Manic, D. Alahakoon, and A. Jennings, “Augmenting industrial chatbots in energy systems using chatgpt generative ai,” in 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE). IEEE, Jun. 2023, p. 1–6.

L. Gunasekara, H. Moraliyage, D. D. Silva, N. Mills, D. Alahakoon, A. Jennings, and M. Manic, “A cybersecurity framework for home energy management systems using artificial intelligence,” in 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE). IEEE, Jun. 2023, p. 1–6.

H. Moraliyage, D. Haputhanthri, C. Samarajeewa, N. Mills, D. De Silva, M. Manic, and A. Jennings, “Automated machine learning in critical energy infrastructure for net zero carbon emissions,” in 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE). IEEE, Jun. 2023, p. 1–7.

D. Sodenaga, I. Takeuchi, D. D. Silva, and S. Katsura, “An explainable artificial intelligence approach for force estimation from surface-emg sing the element description method,” in 2023 IEEE 32nd International Symposium on Industrial Electronics (ISIE). IEEE, Jun. 2023, p. 1–6.

D. De Silva, N. Mills, M. El-Ayoubi, M. Manic, and D. Alahakoon, “Chatgpt and generative ai guidelines for addressing academic integrity and augmenting pre-existing chatbots,” in 2023 IEEE International Conference on Industrial Technology (ICIT). IEEE, Apr. 2023, p. 1–6.

D. De Silva, R. Nawaratne, J. Ruminski, A. Malinowski, and M. Manic, “Human system interaction in review: Advancing the artificial intelligence transformation,” in 2022 15th International Conference on Human System Interaction (HSI). IEEE, Jul. 2022, p. 1–5.

D. Haputhanthri, E. Osipov, S. Kahawala, D. De Silva, T. Kempitiya, and D. Alahakoon, “Evaluating complex sparse representation of hypervectors for unsupervised machine learning,” in 2022 International Joint Conference on Neural Networks (IJCNN). IEEE, Jul. 2022, p. 1–6.

T. Kempitiya, D. De Silva, S. Kahawala, D. Haputhanthri, D. Alahakoon, and E. Osipov, “Parameterization of vector symbolic approach for sequence encoding based visual place recognition,” in 2022 International Joint Conference on Neural Networks (IJCNN). IEEE, Jul. 2022, p. 1–7.

P. Leitao and S. Karnouskos, “The emergence of ethics engineering in industrial cyber-physical systems,” in 2022 IEEE 5th International Conference on Industrial Cyber-Physical Systems (ICPS). IEEE, May 2022, p. 1–6.

D. Burnett, N. El-Haber, D. Alahakoon, S. Karnouskos, and D. De Silva, Advancing an Artificial Intelligence Ethics Framework for Operator 4.0 in Sustainable Factory Automation. Springer International Publishing, 2022, p. 363–375.

J. She, H. Guzman-Miranda, V. Huang, A. C. Chen, S. Karnouskos, L. Dunai, C. Ma, A. Tisan, and S. Yokota, “A cross-disciplinary outlook of directions and challenges in industrial electronics,” IEEE Open Journal of the Industrial Electronics Society, vol. 3, p. 375–391, 2022.

M. Gayathri, A. Ariyaratne, S. Kahawala, D. D. Silva, D. Alahakoon, V. Nanayakkara, E. Osipov, and X. Yu, “Learning rule optimization and comparative evaluation of accelerated self-organizing maps for industrial applications,” in IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society. IEEE, Oct. 2021, p. 1–6.

J. She, H. Guzman-Miranda, V. Huang, A. C. Chen, S. Karnouskos, L. Dunai, A. Tisan, and S. Yokota, “A cross-disciplinary view of industrial electronics: Change, chance, and challenge,” in IECON 2021 – 47th Annual Conference of the IEEE Industrial Electronics Society. IEEE, Oct. 2021, p. 1–7.

D. Jayaratne, D. De Silva, D. Alahakoon, and X. Yu, “Continuous detection of concept drift in industrial cyber-physical systems using closed loop incremental machine learning,” Discover Artificial Intelligence, vol. 1, no. 1, Sep. 2021.

A. Walter Colombo, S. Karnouskos, and C. Hanisch, “Engineering human-focused industrial cyber-physical systems in industry 4.0 context,” Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 379, no. 2207, p. 20200366, Aug. 2021.

S. Kahawala, D. De Silva, S. Sierla, D. Alahakoon, R. Nawaratne, E. Osipov, A. Jennings, and V. Vyatkin, “Robust multi-step predictor for electricity markets with real-time pricing,” Energies, vol. 14, no. 14, p. 4378, Jul. 2021.

A. W. Colombo, S. Karnouskos, X. Yu, O. Kaynak, R. C. Luo, Y. Shi, P. Leitao, L. Ribeiro, and J. Haase, “A 70-year industrial electronics society evolution through industrial revolutions: The rise and flourishing of information and communication technologies,” IEEE Industrial Electronics Magazine, vol. 15, no. 1, p. 115–126, Mar. 2021.

D. Trentesaux and S. Karnouskos, “Engineering ethical behaviors in autonomous industrial cyber-physical human systems,” Cognition, Technology & Work, vol. 24, no. 1, p. 113–126, Mar. 2021.