Dr.-Ing. Tanuj Hasija

Lecturer (Akademischer Rat)

Signal and System Theory Group

Education

1. 2021

   Dr.-Ing. (Ph.D.)

   Paderborn University

2. 2015

   M.Sc. (Electrical Systems Engineering)

   Paderborn University

3. 2013

   B.Sc. (Electrical Engineering)

   Guru Gobind Singh Indraprastha University, India

List of Publications

Journal Articles

[1]	S. Vieluf, T. Hasija, P.J. Schreier, R. El Atrache, S. Hammond, F.M. Touserkani, R.A. Sarkis, T. Loddenkemper and C. Reinsberger Generalized tonic-clonic seizures are accompanied by changes of interrelations within the autonomic nervous system Epilepsy & Behavior, vol. 124, pp. 108321, Elsevier, 2021
[2]	T. Hasija, T. Marrinan, C. Lameiro and P.J. Schreier Determining the dimension and structure of the subspace correlated across multiple data sets Signal Processing, vol. 176, Elsevier, 2020
[3]	S. Vieluf, T. Hasija, R. Jakobsmeyer, P.J. Schreier and C. Reinsberger Exercise-induced changes of multimodal interactions within the autonomic nervous network Frontiers in physiology, vol. 10, Frontiers, 2019
[4]	S. Vieluf, V. Scheer, T. Hasija, P.J. Schreier and C. Reinsberger Multimodal approach towards understanding the changes in the autonomic nervous system induced by an ultramarathon Research in Sports Medicine, pp. 1-10, Taylor & Francis, 2019
[5]	T. Hasija, C. Lameiro and P.J. Schreier Determining the dimension of the improper signal subspace in complex-valued data IEEE Signal Process. Lett., vol. 24, pp. 1606-1610, 2017
[6]	Y. Song, P.J. Schreier, D. Ramírez and T. Hasija Canonical correlation analysis of high-dimensional data with very small sample support Signal Process., vol. 128, pp. 449-458, 2016

Conference Articles

[1]	T. Hasija and T. Marrinan A GLRT for estimating the number of correlated components in sample-poor mCCA In Proc. 30th European Signal Processing Conference (EUSIPCO), pp. 2091-2095, 2022
[2]	I. Lehmann, E. Acar, T. Hasija, M. Akhonda, V.D. Calhoun, P.J. Schreier and T. Adali Multi-Task fMRI Data Fusion Using IVA and PARAFAC2 In Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), vol. , no. , pp. 1466-1470, 2022
[3]	T. Hasija, M. Gölz, M. Muma, P.J. Schreier and A.M. Zoubir Source Enumeration and Robust Voice Activity Detection in Wireless Acoustic Sensor Networks In Proc. Asilomar Conf. on Signals, Systems, Computers, 2019
[4]	C. Lameiro, T. Hasija, T. Marrinan and P.J. Schreier Estimating the Number of Correlated Components Based on Random Projections In ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 5152-5156, 2019
[5]	T. Marrinan, T. Hasija, C. Lameiro and P. J. Schreier Complete Model Selection in Multiset Canonical Correlation Analysis In Proc. European Signal Process. Conf. (EUSIPCO), pp. 1082-1086, 2018
[6]	T. Hasija, Y. Song, P.J. Schreier and D. Ramírez Bootstrap-based detection of the number of signals correlated across multiple data sets In Proc. Asilomar Conf. Signals Syst. Computers, 2016
[7]	Y. Song, T. Hasija, P.J. Schreier and D. Ramírez Determining the number of signals correlated across multiple data sets for small sample support In Proc. Eur. Signal Process. Conf., 2016
[8]	T. Hasija, Y. Song, P.J. Schreier and D. Ramírez Detecting the dimension of the subspace correlated across multiple data sets in the sample poor regime In Proc. IEEE Work. Stat. Signal Process., 2016