Publications

Publications Summary:

Journals:-32(IEEE-19, IET-3, Elsevier-3, Springer-6, IOP-1).

Conferences:-25.

Journal Publications:

1. A. Roy, U. Satija, S. Karmakar, "Pulmo-TS2ONN: A Novel Triple Scale Self Operational Neural Network for Pulmonary Disorder Detection Using Respiratory Sounds," in IEEE Transactions on Instrumentation & Measurement, Accepted. 

2. S. Mandal, G. P. Kumar, M. Saini, U. Satija and Y. Kumar, "A Unified Deep Learning Framework for Smartphone-Enabled ADHD Detection," in IEEE Transactions on Instrumentation and Measurement, vol. 73, pp. 1-11, 2024, Art no. 6501111, doi: 10.1109/TIM.2023.3338713.  

3.  A. Kumar, Manish, and U. Satija, ``Residual Stack-Aided Hybrid CNN-LSTM based Automatic Modulation Classification for Orthogonal Time-Frequency Space System," in IEEE Communication Letters, 2023, vol. 27, no. 12, pp. 3255-3259, Dec. 2023, doi: 10.1109/LCOMM.2023.3328011. 

4. A. Roy, A. Thakur, and U. Satija, "VGAResNet: A Unified Visibility Graph Adjacency Matrix based Residual Network for Chronic Obstructive Pulmonary Disease Detection Using Lung Sounds" in IEEE Sensors Letters, 2023, vol. 7, no. 11, pp. 1-4, Nov. 2023, Art no. 7006604, doi: 10.1109/LSENS.2023.3326118.

5. A. Roy and U. Satija, "RDLINet: A Novel Lightweight Inception Network for Respiratory Disease Classification Using Lung Sounds," in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-13, 2023, Art no. 4008813, doi: 10.1109/TIM.2023.3292953. 

6. S. Mandal and U. Satija, "Time–Frequency Multiscale Convolutional Neural Network for RF-Based Drone Detection and Identification," in IEEE Sensors Letters, vol. 7, no. 7, pp. 1-4, July 2023, Art no. 7003304, doi: 10.1109/LSENS.2023.3289145 

7. M. Saini, U. Satija, "State of art mental tasks classification based on electroencephalogram: a review," Physiological Measurement, vol. 44, 2023, DOI 10.1088/1361-6579/acd51b. 

8.  A. Roy and U. Satija, "A Novel Melspectrogram Snippet Representation Learning Framework for Severity Detection of Chronic Obstructive Pulmonary Diseases," in IEEE Transactions on Instrumentation and Measurement, vol. 72, pp. 1-11, 2023, Art no. 4003311, doi: 10.1109/TIM.2023.3256468. 

9. M. Saini, U. Satija and M. D. Upadhayay, "DSCNN-CAU: Deep Learning-Based Mental Activity Classification for IoT Implementation Towards Portable BCI," IEEE Internet of Things Journal,  vol. 10, no. 10, pp. 8944-8957, May 15, 2023, doi: 10.1109/JIOT.2022.3232481. 

10. M. Saini, D. Kumar and U. Satija, “Edge of Medical Things Implementation for Deep Learning-Based Cognitive Task Recognition,” IEEE Internet of Things Magazine, vol. 5, no. 3, pp. 56-60, September 2022, doi: 10.1109/IOTM.001.2200038.  

11. M. Saini, and U. Satija, and M. D. Upadhayay, "Discriminatory Features Based on Wavelet Energy for Effective Analysis of Electroencephalogram During Mental Tasks," Circuits, Systems, and Signal Processing (Springer), vol. 41, no. 10, October 2022, DOI: 10.1007/s00034-022-02057-9.

12. M. Saini, and U. Satija, "On-Device Implementation for Deep Learning-Based Cognitive Activity Prediction," IEEE Sensor Letters, vol. 6, no. 4, pp. 1-4, April 2022. doi: 10.1109/LSENS.2022.3156158. 

13. M. Sharma, U. Satija, “MGDMD: Multi-Variate Generalized Dispersive Mode Decomposition,” Signal Processing (Elsevier), vol. 196, Feb. 2022. doi: 10.1016/j.sigpro.2022.108511.

14. N. Chaudhary, U. Satija, J. Mathew, R. K. Behera, “A Unified Attentive Cycle-Generative Adversarial Framework for Deriving Electrocardiogram from Seismocardiogram Signal,” IEEE Signal Processing Letters, vol. 29, pp. 802-806, 2022 . doi: 10.1109/LSP.2022.3152448.

15. S. Sharma, U. Satija, “Automated Ocular Artifacts Removal Framework Based on Adaptive Chirp Mode Decomposition,” IEEE Sensor Journal, vol. 22, no. 6, pp. 5806-5814, 2022. doi: 10.1109/JSEN.2022.3147010. 

16. M. Saini, U. Satija, and M. D. Upadhayay, "One-Dimensional Convolutional Neural Network Architecture for Classification of Mental Tasks from Electroencephalogram," Biomedical Signal Processing and Control (Elsevier), vol. 74, 2022. doi: 10.1016/j.bspc.2022.103494.

17. M. Saini, U. Satija, and M. D. Upadhayay, “Wavelet Based Waveform Distortion Measures for Assessment of Denoised EEG Quality With Reference to Noise-Free EEG Signal,” IEEE Signal Processing Letters, vol. 27, pp. 1260-1264, 2020.

18. M. Saini, U. Satija, M. D. Updhayay, “An Effective Automated Method for Detection and Suppression of Muscle Artifacts from Single-Channel EEG Signal”, IET Healthcare Technology Letters, vol. 7, no. 2, pp. 35-40, 2020. 

19. M. Saini, Payal, U. Satija, “An Effective and Robust Framework for Ocular Artifact Removal from Single-Channel EEG Signal Based On Variational Mode Decomposition”, IEEE Sensor Journal, vol. 20, no. 1, pp. 369-376, 2019. 

20. U. Satija, B. Ramkumar, M. S. Manikandan, “A New Automated Signal Quality-Aware ECG Beat Classification Method for Unsupervised ECG Diagnosis Environments,” IEEE Sensor Journal, vol. 19, 1, pp. 277-286, 2018.

21. U. Satija, N. Trivedi, G. Biswal, B. Ramkumar, “Specific emitter identification based on variational mode decomposition and spectral features in single hop and relaying scenarios” IEEE Transactions on Information Forensics & Security, vol. 14, no. 3, pp. 581-591, 2018. 

22. U. Satija, B. Ramkumar, M. S. Manikandan, “Automated ECG Noise Detection and Classification System for Unsupervised Healthcare Monitoring,” IEEE Journal of Biomedical and Health Informatics, vol. 22, no. 3, pp. 722 - 732, May 2017.  

23. U. Satija, B. Ramkumar, M. S. Manikandan, “A review of signal processing techniques for ECG signal quality assessment,” IEEE Reviews in Biomedical Engineering, vol. 11, pp. 36-52, 2018.

24. U. Satija, B. Ramkumar, M. S. Manikandan, “An Automated ECG Signal Quality Assessment Method for Unsupervised Diagnostic Systems,” Biocybernetics and Biomedical Engineering (Elsevier), vol. 38, no.1, pp. 54-70, 2018. 

25. T. Dutta, U. Satija, B. Ramkumar, M. S. Manikandan, “Blind impulse estimation and removal using sparse signal decomposition framework for OFDM systems, Circuits, Systems, and Signal Processing (Springer), vol. 37, no. 2, pp. 847-861, Feb. 2018. 

26. U. Satija, B. Ramkumar, M. S. Manikandan, “Real-Time signal quality-aware ECG telemetry system for IoT-based health care monitoring,” IEEE Internet of Things Journal, vol. 4, no. 3, pp. 815-823, June 2017.

27. U. Satija, B. Ramkumar, M. S. Manikandan, “Noise-Aware dictionary learning based sparse representation framework for detection and removal of single and combined noises from ECG signal,” IET Healthcare Technology Letters, vol. 4, no. 1, pp. 2-12, Feb. 2017. 

28. U. Satija, B. Ramkumar, M. S. Manikandan, “A novel sparse classifier for automatic modulation classification using cyclostationary features,” Wireless Personal Communication (Springer), vol. 96, no. 3, 2017. 

29. U. Satija, M. Mohanty, B. Ramkumar, “Cyclostationary features based modulation classification in presence of non-Gaussian noise using sparse signal decomposition,” Wireless Personal Communication (Springer), vol. 96, no. 4, 2017. 

30. U. Satija, B. Ramkumar, M. S. Manikandan, “Robust Cardiac Event Change Detection Method for Long-term Healthcare Monitoring Applications,” IET Healthcare Technology Letters, vol. 3, no. 2, pp. 116-123, May 2016. 

31. U. Satija, B. Ramkumar, “Instantaneous mixture channel selection for blind equalization using cumulant features in MIMO systems,” Circuits, Systems, and Signal Processing (Springer), vol. 35, no. 12, pp. 4596-4606, Dec. 2016. 

32. P. De, U. Satija, “Sparse Representation for Blind Spectrum Sensing in Cognitive Radio: A Compressed Sensing Approach,” Circuits, Systems, and Signal Processing (Springer), vol. 35, no. 12, pp. 4413-4444, Dec. 2016.

Conference Publications:

1. S. P. Singh, A. Roy, U. Satija, ``LoRaSONN: A Novel Self-Operational Neural Network Learning Framework for RF-Fingerprint Identification of LoRa Devices",  IEEE Wireless Communications and Networking Conference (WCNC) 2024, Dubai, Accepted. 

2. A. Roy, U. Satija, "AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework for Asthma Classification Using Lung Sounds", INTERSPEECH 2023, Dublin, Ireland, Accepted.

3. A. Roy, U. Satija, "AsTFSONN: A Unified Framework Based on Time-Frequency Domain Self-Operational Neural Network for Asthmatic Lung Sound Classification," 2023 The 18th edition of IEEE International Symposium on  Medical Measurements and Applications (MeMeA), Accepted.

4. A. Parmar, K. M. Captain, U. Satija, A. Chauhan, "Modulation Classification for Non-orthogonal Multiple Access System using a Modified Residual-CNN," IEEE Wireless Communications and Networking Conference (WCNC) 2023, Accepted. 

5. D Kumar, U Satija, P Kumar, "Analysis and Classification of Electroglottography Signals for the Detection of Speech Disorders," 2023 National Conference on Communications (NCC), pp. 1-6. 

6. A. Roy, U. Satija, "Automated Severity Detection Of Chronic Obstructive Pulmonary Disease Using Lung Sounds," 2022 IEEE 19th India Council International Conference (INDICON), Kerala, India.

7. D. Kumar, U. Satija, P. Kumar, "Automated Classification of Pathological Speech Signals," 2022 IEEE 19th India Council International Conference (INDICON), Kerala, India.

8.  N. Babu, P. Kumar, J. Mathew, U. Satija, "Exploration of Bonafide and Spoofed Audio Classification Using Machine Learning Models",  2022 IEEE 19th India Council International Conference (INDICON), Kerala, India.

9.  S. P. Rishal , U. Satija, "An Effective Heart Valve Disorder Classification Technique Using Phonocardiograms," 2022 IEEE 19th India Council International Conference (INDICON), Kerala, India.

10. N. Babu, J. Kumari, J. Mathew, U. Satija and A. Mondal, "Multiclass Categorisation of Respiratory Sound Signals Using Neural Network," 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS), Taipei, Taiwan, 2022, pp. 228-232, doi: 10.1109/BioCAS54905.2022.9948675. 

11. P. Patel, U. Satija, "Performance Analysis of Convolutional Neural Network Based EEG Epileptic Seizure Classification in Presence of Ocular Artifacts," 2021 National Conference on Communication (NCC) , pp. 1-5. 

12. M. Saini, U. Satija, and M. D. Upadhayay, “Variational mode decomposition based mental task classification from electroencephalogram,” 2020 IEEE 17th India Council International Conference (INDICON), pp. 1-7, 2020. 

13.  P.Dey, N. Trivedi, U. Satija, B. Ramkumar, M. S. Manikandan, “Single channel blind source separation for MISO communication systems,” IEEE 86th Vehicular Technology Conference (VTC2017- Fall), Toronto, 2017.

14. U. Satija, B. Ramkumar, M. S. Manikandan, “A unified sparse signal decomposition and reconstruction framework for elimination of muscle artifacts from ECG signal,” 41st IEEE Int. Conf. Acoustics, Speech Signal Process. (ICASSP), Shanghai, China, 2016. 

15. U. Satija, B. Ramkumar, M. S. Manikandan, “A robust sparse signal decomposition framework for baseline wander removal from ECG signal,” IEEE Tencon, Singapore, 2016. 

16. U. Satija, B. Ramkumar, M. S. Manikandan, “Low-Complexity detection and classification of ECG noises for automated ECG analysis system,” Int. Conf. Signal Process. Commun. (SPCOM), 2016, (IISc Bangalore). 

17. T. Dutta, U. Satija, B. Ramkumar, M. S. Manikandan, “A novel method for automatic modulation classification under non-Gaussian noise based on variational mode decomposition,” 22nd Nat. Conf. Commun. (NCC) 2016, IIT Guwahati, 2016. 

18. P. Dey, U. Satija, and B. Ramkumar, "Single channel blind source separation based on variational mode decomposition and PCA," 2015 Annual IEEE India Conference (INDICON), New Delhi, India, 2015, pp. 1-5, doi: 10.1109/INDICON.2015.7443723. 

19. I. Khandelwal, U. Satija and R. Adhikari, "Efficient financial time series forecasting model using DWT decomposition," 2015 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), Bangalore, India, 2015, pp. 1-5, doi: 10.1109/CONECCT.2015.7383917. 

20. M. Mohanty, U. Satija, B. Ramkumar, M. S. Manikandan, “Digital modulation classification under non-Gaussian noise using sparse signal decomposition and maximum likelihood,” 21st Nat. Conf. Commun. (NCC) 2015, IIT Bombay, 2015. 

21. U. Satija, M. Mohanty, "Compressed Sensing based Blind Spectrum Sensing in Cognitive Radio." 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN), Noida, 2015, pp. 275-279, doi: 10.1109/SPIN.2015.7095327. 

22. U. Satija, M. Mohanty, and B. Ramkumar, “Automatic modulation classification using S-transform based features,” 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN), Noida, 2015, pp. 708-712.

23. I. Khandelwal, U.Satija, R. Adhikari, "Forecasting Seasonal Time Series with Functional Link Artificial Neural Network," 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN), Noida, 2015,  pp. 725-729, doi: 10.1109/SPIN.2015.7095387. 

24. U. Satija, B. Ramkumar and M. S. Manikandan, ``A simple method for detection and classification of ECG noises for wearable ECG monitoring devices," 2015 2nd International Conference on Signal Processing and Integrated Networks (SPIN), Noida, 2015, pp. 164-169.

25.  U. Satija, M. S. Manikandan and B. Ramkumar, ``Performance study of cyclostationary based digital modulation classification schemes," 2014 9th International Conference on Industrial and Information Systems (ICIIS), Gwalior, 2014, pp. 1-5.