Updated list on Google Scholar

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  • Patent:  Laird, James, Nigel Cannings, Cornelius Patrick Glackin, Julie Ann Wall, and Nikesh Bajaj. “System and method for understanding and explaining spoken interactions using speech acoustic and linguistic markers.” U.S. Patent Application 17/308,222, filed December 30, 2021.
  • Bajaj, N., Rajwadi, M., Constance, T. G., Wall, J., Moniri, M., Laird, T., … & Cannings, N. (2023). Deception detection in conversations using the proximity of linguistic markers. Knowledge-Based Systems, 110422. Open Access
  • Nikesh Bajaj, Jesús Requena Carrión, Francesco Bellotti, Riccardo Berta, Alesandro De Gloria. “Analysis of Factors Affecting the Auditory Attention of Non-native Speakers in e-Learning Environments.” The Electronic Journal of e-Learning, 19(3), pp. 159-169. Open Access
  • Nikesh Bajaj, Jesús Requena Carrión, Francesco Bellotti, Riccardo Berta, Alesandro De Gloria. “Automatic and tunable algorithm for EEG artifact removal using wavelet decomposition with applications in predictive modeling during auditory tasks.” Biomedical Signal Processing and Control, Volume 55, 2020/1 (101624). Elsevier. . [Python code is available at Spkit library]
  • Wu, H., Patel, K. H. K., Li, X., Zhang, B., Galazis, C., Bajaj, N., … & Ng, F. S. (2022). A fully-automated paper ECG digitisation algorithm using deep learning. Scientific Reports, 12(1), 20963.
  • Paranthaman, P. K., Vallabhajosula, S., Giordano, A., Walton, S., Tuisa, O., & Bajaj, N. (2023). User Experience Analysis in Obstacle Clearance Tasks in Virtual and Mixed Reality Environments. In Intelligent Sustainable Systems: Selected Papers of WorldS4 2022, Volume 2 (pp. 675-686). Singapore: Springer Nature Singapore.
  • Jennings, D., Paranthaman, P. K., & Bajaj, N. (2023). Conceptual Design and Early Prototypes of a Gamified Virtual Reality Interview Training Application. In Intelligent Sustainable Systems: Selected Papers of WorldS4 2022, Volume 1 (pp. 93-104). Singapore: Springer Nature Singapore.
  • Paranthaman, P. K., Bajaj, N., Solovey, N., & Jennings, D. (2021, August). Comparative Evaluation of the EEG Performance Metrics and Player Ratings on the Virtual Reality Games. In 2021 IEEE Conference on Games (CoG) (pp. 1-8). IEEE.
  • Nikesh Bajaj, Tracy Goodluck Constance, Marvin Rajwadi, Julie A. Wall, Mansour Moniri, Cornelius Glackin, Nigel Cannings, Chris Woodruff and James Laird. Fraud detection in telephone conversations for financial services using linguistic features. 33rd Conference on Neural Information Processing Systems (NeurIPS 2019), AI for Social Good Workshop, Vancouver, Canada.
  • Goodluck Constance, T., Bajaj, N., Rajwadi, M., Maltby, H., Wall, J., Moniri, M., … & Cannings, N. (2021). Resolving Ambiguity in Hedge Detection by Automatic Generation of Linguistic Rules. In Artificial Neural Networks and Machine Learning–ICANN 2021: 30th International Conference on Artificial Neural Networks, Bratislava, Slovakia, September 14–17, 2021, Proceedings, Part V 30 (pp. 369-380). Springer International Publishing.
  • Nikesh Bajaj, Jesús Requena Carrión, Francesco Bellotti. PhyAAt: Physiology of Auditory Attention to Speech Dataset. PhyAAt project, arXiv preprint arXiv:2005.11577 (2020). preprint
  • Bajaj, Nikesh, Jesús Requena Carrión, and Francesco Bellotti. “Deep representation of EEG data from Spatio-Spectral Feature Images.” arXiv preprint arXiv:2206.09807 (2022). .
  • Bajaj, N., Bellotti, F., Berta, R., Carriòn, J. R., & De Gloria, A. (2018, December). “Auditory Attention, Implications for Serious Game Design.” In International Conference on Games and Learning Alliance (pp. 201-209). Springer, Cham.
  • Bajaj, Nikesh, Francesco Bellotti, Riccardo Berta, and Alessandro De Gloria. “A Neuroscience Based Approach to Game Based Learning Design.” In International Conference on Games and Learning Alliance, pp. 444-454. Springer, Cham, 2016.
  • Deora, Divya, and Nikesh Bajaj. “Indian sign language recognition.” In Emerging Technology Trends in Electronics, Communication and Networking (ET2ECN), 2012 1st International Conference on, pp. 1-5. IEEE, 2012. 
  • Dogra, Ashish Kumar, Nikesh Bajaj, and Harish Kumar Dogra. “Facial Expression Recognition using Neural Network with Regularized Back-propagation Algorithm.” International Journal of Computer Applications 77, no. 5 (2013). 
  • Bajaj, Nikesh. “Enhancement of A5/1: Using variable feedback polynomials of LFSR.” In Emerging Trends in Networks and Computer Communications (ETNCC), 2011 International Conference on, pp. 55-60. IEEE, 2011. 
  • Bajaj, Nikesh. “Effects of Parameters of Enhanced A5.” International Journal of Computer Applications 2, no. 2 (2011): 7-13. 
  • Bajaj, Nikesh, and Rahul Kashyap. “Extension of wavelet family in fractional fourier domain.” In Emerging Technology Trends in Electronics, Communication and Networking (ET2ECN), 2012 1st International Conference on, pp. 1-4. IEEE, 2012. 
  • Bajaj, Nikesh, and Amit Thakur. “Enhancement of RC5 for image encryption.” In Image Information Processing (ICIIP), 2011 International Conference on, pp. 1-5. IEEE, 2011. 
  • Kharbanda, Mohina, and Nikesh Bajaj. “An exploration of fractal art in fashion design.” In Communications and Signal Processing (ICCSP), 2013 International Conference on, pp. 226-230. IEEE, 2013. 
  • Kaul, Nitin, and Nikesh Bajaj. “Audio in Image Steganography based on Wavelet Transform.” International Journal of Computer Applications 79, no. 3 (2013). 
  • Kaur, Rosepreet, and Nikesh Baja. “Enhancement in Feedback Polynomials of LFSR used in A5/1 Stream Cipher.” International Journal of Computer Applications 57, no. 19 (2012). 
  • Singh, Ajmer, and Nikesh Bajaj. “Analysis of signals in Fractional Fourier Domain.” In Emerging Trends in Networks and Computer Communications (ETNCC), 2011 International Conference on, pp. 259-262. IEEE, 2011. 
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