# Publications

**Journal articles**

- D. C. Elton,
**Z. Boukouvalas**, M. D. Fuge, and P. W. Chung, "Deep learning for molecular design-a review of the state of the art,"*Molecular Systems Design & Engineering, published by the Royal Society of Chemistry*, (In press) - A. von Lühmann,
**Z. Boukouvalas**, T. Adali, and K. R. Müller, "A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy",*NeuroImage*, Elsevier, 2018. (In press) **Z. Boukouvalas**, Y. Levin-Schwartz, V. D. Calhoun, and T. Adali, "Sparsity and Independence: Balancing of two Objectives in Optimization for Source Separation with Application to fMRI Analysis,"*Elsevier, Journal of the Franklin Institute (JFI), Engineering and Applied Mathematics*, vol. 355, no. 4, pp. 1873--1887, 2018.- D. C. Elton,
**Z. Boukouvalas**, M. S. Butrico, M. D. Fuge, and P. W. Chung, "Applying machine learning techniques to predict the properties of energetic materials",*Nature Scientific Reports*, vol. 8, no. 1, pp. 9059, 2018. - R. Mowakeaa,
**Z. Boukouvalas**, Q. Long, and T. Adali, "IVA Using Complex Multivariate GGD: Application to fMRI Analysis",*Signal Processing, Elsevier*, 2018. (In review) - Q. Long, S. Bhinge, Y. Levin-Schwartz,
**Z. Boukouvalas**, V. D. Calhoun, and T. Adali, "The Role of Diversity in Data-driven Analyses of Multi-subject fMRI Data: Comparison of Approaches Based on Independence and Sparsity Using Global Performance Metrics",*Human Brain Mapping*, 2018. (In press) - D. Emge, Y. Levin-Schwartz,
**Z. Boukouvalas**, and T. Adali, "Power Spectra Constrained IVA for SSVEP Detection,"*Biomedical Physics & Engineering Express*, 2018. (In press) **Z. Boukouvalas**, R. Mowakeaa, G.-S. Fu, and T. Adali, "Independent Component Analysis by Entropy Maximization with Kernels," arXiv:1610.07104 (2016).**Z. Boukouvalas**, S. Said, L. Bombrun, Y. Berthoumieu and T. Adali, "A New Riemannian Averaged Fixed-Point Algorithm for MGGD Parameter Estimation,"*IEEE Signal Proc. Letts.*, vol. 22, no. 12, pp. 2314--2318, Dec. 2015.**Z. Boukouvalas**, A. Arvanitoyeorgos, "A coordinate system for the three-sphere in the Euclidean four space,"*Mathematical Review of the Greek Mathematical Society*, (2006) 65.

**Peer-reviewed conferences**

- Sai K. Popuri and
**Z. Boukouvalas**, "Efficient Parameter Estimation for Semi-Continuous Data: An Application to Independent Component Analysis,"*Machine Learning for Signal Processing (MLSP)*, Pittsburgh, PA, USA, October 2019. - D. C. Elton, D. Turakhia, N. Reddy, J. Tan,
**Z. Boukouvalas**, P. W. Chung, and M. D. Fuge, "Using natural language processing techniques to extract information on the properties and functionalities of energetic materials from large text corpora",*22nd International Seminar in New Trends in Research of Energetic Materials, NTREM 2019*. **Z. Boukouvalas**, D. C. Elton, P. W. Chung, and M. D. Fuge, "Independent Vector Analysis for Data Fusion Prior to Molecular Property Prediction with Machine Learning",*Machine Learning for Molecules and Materials NIPS 2018, November 2018*, (Accepted), Available here.**Z. Boukouvalas**, Y. Levin-Schwartz, R. Mowakeaa, G.-S. Fu, and T. Adali, "Independent Component Analysis Using Semi-Parametric Density Estimation via Entropy Maximization,"*IEEE Statistical Signal Processing Workshop (SSP)*, Freiburg, Germany, June 2018, pp. 403--407.- B. C. Barnes, D. C. Elton,
**Z. Boukouvalas**, D. E. Taylor, W. D. Mattson, M. D. Fuge, and P. W. Chung, "Machine Learning and Discovery for Energetic Materials", 16th International Detonation Symposium, Cambridge MD, USA, July 2018. - Q. Long, C. Jia,
**Z. Boukouvalas**, B. Gabrielson, D. Emge, V. D. Calhoun, and T. Adali, "Consistent Run Selection for Independent Component Analysis: Application to fMRI Analysis",*Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP)*, Calgary, Alberta, Canada, April 2018, pp. 2581--2585. - D. Emge,
**Z. Boukouvalas**, Y. Levin-Schwartz, S. Bhinge, Q. Long, and T. Adali, "Power Spectra Constrained IVA for Enhanced Detection of SSVEP Content,"*Proc. Conf. on Info. Sciences and Systems (CISS)*, Baltimore, USA, March 2017, pp. 1--5. **Z. Boukouvalas**, Y. Levin-Schwartz, and T. Adali, "Enhancing ICA performance by exploiting sparsity: Application to fMRI Analysis."*IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP)*, New Orleans, USA, March 2017, pp. 2532--2536.- S. Bhinge, Q. Long , Y. Levin-Schwartz,
**Z. Boukouvalas**, and T. Adali, "Non-orthogonal constrained independent vector analysis: Application to data fusion."*Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP)*, New Orleans, USA, March 2017, pp. 2666--2670. - R. Mowakeaa,
**Z. Boukouvalas**, and T. Adali, "On the Characterization, Generalization, and Efficient Estimation of the Complex Multivariate Generalized Gaussian Distribution," in*Proc. IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM)*, Rio de Janeiro, Brazil, July 2016, pp. 1--5. - S. Bhinge,
**Z. Boukouvalas**, Y. Levin-Schwartz, and T. Adali, "IVA for Abandoned Object Detection: Exploiting Dependence Across Color Channels," in*Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP)*, Shanghai, China, March 2016, pp. 2494--2498. - G.-S. Fu,
**Z. Boukouvalas**, and T. Adali, "Density estimation by entropy maximization with kernels," in*Proc. IEEE Int. Conf. Acoust., Speech, Signal Processing (ICASSP)*, Brisbane, Australia, April 2015, pp. 1896--1900. **Z. Boukouvalas**, G.-S. Fu, and T. Adali, "An Efficient Multivariate Generalized Gaussian Distribution Estimator: Application to IVA," in*Proc. Conf. on Info. Sciences and Systems (CISS)*, Baltimore, MD, March 2015, pp. 1--4.

**Non peer-reviewed publications**

**Z. Boukouvalas**, J. Zhou, M. D. Fuge, and S. Said, " MGGD Parameter Estimation on the Space of SPD Matrices,"*International Conference on Machine Learning (ICML), Geometry in Machine Learning (GiMLi)*, Stockholm International Fairs, Stockholm, Sweden, July 2018.