| 2023 | ICASSP | Digital Phenotype Representation by Statistical, Information Theory, Data-Driven Approach with Digital Health Data. | Binh P. Nguyen, Michael Nigro, Alice Rueda, Venkat Bhat, Sridhar Krishnan |
| 2023 | ICASSP | SARdBScene: Dataset and Resnet Baseline for Audio Scene Source Counting and Analysis. | Michael Nigro, Sridhar Krishnan |
| 2020 | SMC | Towards an Effective Motor Imagery Based-BCI with Calibration Through Activation of Central and Peripheral Mechanisms of Lower-Limbs. | Leticia Silva, Denis Delisle Rodrguez, Vivianne Cardoso, Dharmendra Gurve, Sridhar Krishnan, Teodiano Freire Bastos-Filho |
| 2019 | ICASSP | Augmenting Dysphonia Voice Using Fourier-based Synchrosqueezing Transform for a CNN Classifier. | Alice Rueda, Sridhar Krishnan |
| 2019 | Interspeech | Feature Representation of Pathophysiology of Parkinsonian Dysarthria. | Alice Rueda, Juan Camilo Vsquez-Correa, Cristian David Ros-Urrego, Juan Rafael Orozco-Arroyave, Sridhar Krishnan, Elmar Nth |
| 2018 | ICASSP | First-Order Difference Energy Regularization for Enhancing Reconstruction Performance in Compressive Sensing of Foot-Gait Signals. | Jeevan K. Pant, Sridhar Krishnan |
| 2018 | ISCAS | Sparse Signal Reconstruction Using Multi-Sequential Lp Optimization. | Jeevan K. Pant, Sridhar Krishnan |
| 2017 | ISCAS | Two-pass ℓp-regularized least-squares algorithm for compressive sensing. | Jeevan K. Pant, Sridhar Krishnan |
| 2015 | ICPRAM | Learning Dictionary Via Wavelet Sparse Principal Component Analysis. | Shengkun Xie, Anna T. Lawniczak, Sridhar Krishnan |
| 2014 | ICASSP | Compressive sensing of ECG signals based on mixed pseudonorm of the first- and second-order differences. | Jeevan K. Pant, Sridhar Krishnan |
| 2013 | ANT | Robust Ultra-Low-Power Algorithm for Normal and Abnormal ECG Signals Based on Compressed Sensing Theory. | Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan |
| 2013 | ANT | Low Sampling-rate Approach for ECG Signals with Compressed Sensing Theory. | Mohammadreza Balouchestani, Kaamran Raahemifar, Sridhar Krishnan |
| 2013 | ICASSP | A variation of empirical mode decomposition with intelligent peak selection in short time windows. | Muhammad Kaleem, Aziz Guergachi, Sridhar Krishnan |
| 2013 | ICASSP | Reconstruction of ECG signals for compressive sensing by promoting sparsity on the gradient. | Jeevan K. Pant, Sridhar Krishnan |
| 2013 | ISNN | Circular Projection for Pattern Recognition. | Guangyi Chen, Tien Dai Bui, Sridhar Krishnan, Shuling Dai |
| 2013 | ISNN | Noise Effects on Spatial Pattern Data Classification Using Wavelet Kernel PCA - A Monte Carlo Simulation Study. | Shengkun Xie, Anna T. Lawniczak, Sridhar Krishnan |
| 2012 | CBMS | Sparse principal component extraction and classification of long-term biomedical signals. | Shengkun Xie, Sridhar Krishnan, Anna T. Lawniczak |
| 2012 | ICASSP | Log-frequency spectrogram for respiratory sound monitoring. | Feng Jin, Farook Sattar, Sridhar Krishnan |
| 2010 | ICASSP | Discriminative base decomposition for time-frequency matrix decomposition. | Behnaz Ghoraani, Sridhar Krishnan |
| 2010 | SMC | Towards robust speech-based emotion recognition. | Talieh Seyed Tabatabaei, Sridhar Krishnan |
| 2010 | SMC | SVM-based classification of digital modulation signals. | Talieh Seyed Tabatabaei, Sridhar Krishnan, Alagan Anpalagan |
| 2009 | SMC | Identifying the potential for Failure of Businesses in the Technology, Pharmaceutical and Banking Sectors using Kernel-based Machine Learning Methods. | Yashodhan Rajiv Athavale, Aziz Guergachi, Pouyan Hosseinizadeh, Sridhar Krishnan |
| 2008 | ICASSP | An audio watermarking method based on molecular matching pursuit. | Mathieu Parvaix, Sridhar Krishnan, Cornel Ioana |
| 2007 | ICASSP | A Watermarking Method for Speech Signals Based on the Time-Warping Signal Processing Concept. | Cornel Ioana, Arnaud Jarrot, Andr Quinquis, Sridhar Krishnan |
| 2007 | ISCAS | Emotion Recognition Using Novel Speech Signal Features. | Talieh Seyed Tabatabaei, Sridhar Krishnan, Aziz Guergachi |
| 2007 | MMSP | Combining Vocal Source and MFCC Features for Enhanced Speaker Recognition Performance Using GMMs. | Danoush Hosseinzadeh, Sridhar Krishnan |
| 2007 | SMC | Chaotic time series prediction using knowledge based Green's Kernel and least-squares support vector machines. | Tahir Farooq, Aziz Guergachi, Sridhar Krishnan |
| 2006 | ICASSP | Keystroke Identification Based on Gaussian Mixture Models. | Danoush Hosseinzadeh, Sridhar Krishnan, April Khademi |
| 2006 | ICASSP | Soccer Video Retrival Using Adaptive Time-Frequency Methods. | Jonathan Marchal, Cornel Ioana, Emanuel Radoi, Andr Quinquis, Sridhar Krishnan |
| 2006 | IJCNN | Automatic Content-Based Image Retrieval Using Hierarchical Clustering Algorithms. | Kambiz Jarrah, Sridhar Krishnan, Ling Guan |
| 2005 | GLOBECOM | Data embedding in μ-law speech with spread spectrum techniques. | Libo Zhang, Heping Ding, Sridhar Krishnan |
| 2005 | ICASSP | Indexing of NFL Video using MPEG-7 Descriptors and MFCC features. | Syed G. Quadri, Sridhar Krishnan, Ling Guan |
| 2005 | ICASSP | A signal classification approach using time-width vs frequency band sub-energy distributions. | Karthikeyan Umapathy, Sridhar Krishnan |
| 2004 | ICASSP | Content based audio classification and retrieval using joint time-frequency analysis. | Shahrzad Esmaili, Sridhar Krishnan, Kaamran Raahemifar |
| 2004 | ICASSP | Modified local discriminant bases and its applications in signal classification [biomedical signal examples]. | Karthikeyan Umapathy, Sridhar Krishnan |
| 2002 | ICASSP | Interference excision in spread spectrum communications using adaptive positive time-frequency distributions. | Serhat Erkk, Sridhar Krishnan |
| 2002 | ICASSP | Detection of linear chirp and non-linear chirp interferences in a spread spectrum signal by using Hough-Radon transform. | Shynimol Thayilchira, Sridhar Krishnan |
| 2002 | ICASSP | Discrimination of pathological voices using an adaptive time-frequency approach. | Karthikeyan Umapathy, Sridhar Krishnan, Vijay Parsa, Donald G. Jamieson |