Dr. Udit Satija
UditPic  
 
Dr. Udit Satija
Assistant Professor
Ph.D, IIT Bhubaneswar
Ph: +91-612-302 8815
udit[*AT]iitp.ac.in
Personal webpage:https://sites.google.com/view/uditsatija
Specialization : Biomedical Signal Processing
Research Areas :
  • Bio-medical signal processing
  • Wearable healthcare monitoring
  • Human activity monitoring
  • Machine and deep learning
  • Signal processing for wireless communication
  • Compressed sensing
  • Cognitive radios
  • Internet of things.
Courses taught at IITP :  
Other Interests :  
No. of PhD Students :  1 (One)
Professional Experience :
  • Asst. Professor, Dept. of ECE, IIIT Dharwad, Karnataka. Duration:- 31st July 2018-17th Dec. 2019.
  • Asst. Professor, Dept. of EE, Shiv Nadar University, Greater Noida. Duration:- 28th August 2017-30th July 2018.
Awards & Honours :
  • IEEE SPS Travel Grant for ICASSP2016
Member of Professional bodies :
  • IEEE
Publications : Refereed Journal Publications:
  • 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, Accepted.
  • 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, Accepted.
  • 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.
  • 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. I.F.-5.86.
  • 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. I.F.-3.45.
  • 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.
  • 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.
  • T. Dutta, U. Satija, B. Ramkumar, M. S. Manikandan, ``Blind impulse estimation and removal using sparse signal decomposition framework for OFDM systems," Circuits System & Signal Processing (Springer), vol. 37, no. 2, pp. 847-861 Feb. 2018.
  • 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. doi: 10.1109/JIOT.2017.2670022. I.F.-7.59.
  • 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.
  • 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.
  • 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.
  • 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.
  • U. Satija, B. Ramkumar, ``Instantaneous mixture channel selection for blind equalization using cumulant features in MIMO systems," Circuits System & Signal Processing (Springer), vol. 35, no. 12, pp. 4596-4606, Dec. 2016,DOI:10.1007/s00034-016-0272-0.
  • P. De, U. Satija, ``Sparse Representation for Blind Spectrum Sensing in Cognitive Radio: A Compressed Sensing Approach," Circuits System & Signal Processing (Springer), vol. 35, no. 12, pp. 4413-4444, Dec. 2016 DOI:10.1007/s00034-016-0279-6.

Refereed Published Conference Publications:
  • 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.
  • U. Satija, B. Ramkumar, M. S. Manikandan, ``A Robust Sparse Signal Decomposition Framework for Baseline Wander Removal from ECG Signal," IEEE Tencon, Singapore, 2016.
  • 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).
  • 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.
  • 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.
  • 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.
Invited Talks :