Publications

Journal

2018 - Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Akshay Raj Gollahalli, Kaushalya Kumarasinghe, Vivienne Breen, Neelava Sengupta, Josafath Israel Espinosa Ramos, Reggio Hartono, Elisa Capecci, Hideaki Kawano, et al. From von neumann architecture and atanasoff’s abc to neuromorphic computation and kasabov’s neucube. part ii: Applications. In Practical Issues of Intelligent Innovations, pages 17–36. Springer, 2018.

2018 - N Kasabov, N. Sengupta, J. R. Espinosa Ramos, E. Tu, S. Marks, N. Scott, J. Weclawski, A. R. Gollahalli, M. G. Doborjeh, Z. G. Doborjeh, K. Kumarasinghe, V. breen, and A. Abbot. From von neumann architecture and atanaso’s abc to neuro-morphic computation and kasabov’s neucube: Principles and implementations. In Vassil Sgurev, Vincenzo Piuri, and Vladimir Jotsov, editors, Learning Systems: From Theory to Practice, chapter 1. Springer, 2018.

2018 - Neelava Sengupta, Josafath Israel Espinosa Ramos, Enmei Tu, Stefan Marks, Nathan Scott, Jakub Weclawski, Akshay Raj Gollahalli, Maryam Gholami Doborjeh, Zohreh Gholami Doborjeh, Kaushalya Kumarasinghe, et al. From von neumann architecture and atanasoffs abc to neuro-morphic computation and kasabov’s neucube: Principles and implementations. In Learning Systems: From Theory to Practice, pages 1–28. Springer, 2018.

2017 - R. Khansama, V. Ravi, N. Sengupta, A.R. Gollahalli, and N. Kasabov. Stock market movement prediction using evolving spiking neural networks. IEEE Transactions on Neural Networks and Learning Systems, 2017.

2017 - Ravi V. Sengupta N. Gollahalli A. R. Khansama, R. and N. Kasabov. A combined adaptive neural network and nonlinear model predictive control for multirate networked industrial process control. IEEE Transactions on Neural Networks and Learning Systems, 2017.

Book or Book Chapter

2021 - Khansama, R. R., Ravi, V., Gollahalli, A. R., Sengupta, N., Kasabov, N. K., & Bilbao-Quintana, I. (2021). Stock market movement prediction using evolving spiking neural networks. In R. Vadlamani & A. K. Cherukuri (Eds.), Handbook of Big Data Analytics : Applications in ICT, Security and Business Analytics (pp. 285-310): Institution of Engineering & Technology.

Poster

2015 - Gollahalli, A. R., & Kasabov, N. (2015). EEGRotor: A virtual Quad-Copter based on Brain Computer Interface. presented at the meeting of the 13th International Conference on Neuro-Computing and Evolving Intelligence 2015 (NCEI ‘15) Auckland.

Abstract

Thesis

2015 - Gollahalli, A. R. (2015). Brain-computer interfaces for virtual Quadcopters based on a spiking-neural network architecture - NeuCube. AUT University, Auckland. Retrieved from http://hdl.handle.net/10292/9249