Amrita Mishra

• Design and development of PHY layer technologies for next generation wireless systems
• Applications of signal processing and machine learning for 5G and beyond communication
• Unified network design architecture (by facilitating cross-layer design) for  5G and beyond communication systems
• Sparse signal processing
• Millimeter wave communication
• Internet of Things (IoT)
• Social Signal Processing

Journal Publications

• S. Srivastava, M. S. Kumar, A. Mishra, S. Chopra, A. K. Jagannatham and L.Hanzo,"Sparse Doubly-Selective Channel Estimation Techniques for OSTBC MIMO-OFDM Systems: A Hierarchical Bayesian Kalman Filter Based Approach", IEEE Transactions on Communications, vol. 68, no. 8, pp. 4844-4858, Aug. 2020.

• A. Mishra, A. K. Jagannatham and L. Hanzo, "Sparse Bayesian Learning-Aided Joint Sparse Channel Estimation and ML Sequence Detection in Space-Time Trellis Coded MIMO-OFDM Systems", IEEE Transactions on Communications, vol. 68, no. 2, pp. 1132-1145, Feb. 2020

• S. Srivastava*, A. Mishra*, A. Rajoriya, A. K. Jagannatham and G. Ascheid, "Quasi-Static and Time-Selective Channel Estimation for Block-Sparse Millimeter Wave Hybrid MIMO Systems: Sparse Bayesian Learning (SBL) Based Approaches", IEEE Transactions on Signal Processing, vol. 67, no. 5, pp. 1251-1266, Mar. 2019. (* - Equal Contribution)

• A. Mishra*, V. Gupta*, S. Dwivedi, A. K. Jagannatham and P. K. Varshney, "Sparse Bayesian Learning-Based Target Imaging and Parameter Estimation for Monostatic MIMO Radar Systems", IEEE Access, vol. 6, no. 1, pp. 68545-68559, Nov. 2018. (*- Equal Contribution)

• A. Mishra, Yashaswini N.S. and A. K. Jagannatham, "SBL-Based Joint Sparse Channel Estimation and Maximum Likelihood Symbol Detection in OSTBC MIMO-OFDM Systems", IEEE Transactions on Vehicular Technology, vol. 67, no. 5, pp. 4220-4232, May 2018.

• A. Mishra and A. K. Jagannatham, "SBL-Based GLRT for Spectrum Sensing in OFDMA-Based Cognitive Radio Networks" IEEE Communication Letters, vol. 20, no. 7, pp. 1433-1436, July 2016.

• A. Mishra, R. Gayathri and A. K. Jagannatham, "Random Parameter EM-Based Kalman Filter (REKF) for Joint Symbol Detection and Channel Estimation in Fast Fading STTC MIMO systems" IEEE Signal Processing Letters, vol. 21, no. 6, pp. 776-770, June 2014

Conference Publications

• S. Adidela, S. Singh, T. Sahu and A. Mishra, "Single Image And Video Dehazing: A Dark Channel Prior (DCP)-based Approach", Proc. of  INDICON 2021, Dec. 2021. 

• C. Samal, P. Yadav, S. Singh, S. Vollala and A. Mishra, "RoBINN: Robust Bird Species Identification using Neural Network", Proc. of 18th International Conference on Signal Processing and Multimedia Applications - SIGMAP, July 2021. (Shortlisted for best paper award)

•  H. Joshi, A. Verma and A. Mishra, "Classification of Social Signals Using Deep LSTM-based Recurrent Neural Networks", Proc. of International Conference on Signal Processing and Communications (SPCOM), July 2020.

• S. Srivastava, Sarath Kumar M., A. Mishra and A. K. Jagannatham, "Sparse Kalman Filtering (SKF) Aided Doubly-Selective Channel Estimation in STTC MIMO-OFDM Systems", Proc. of International Conference on Signal Processing and Communications (SPCOM), July 2020.

• S. Srivastava, A. Mishra, A. K. Jagannatham and G. Ascheid, "Dynamic RF Chain Activation in Hybrid Precoder Combiner for Energy and Spectrally Ecient Millimeter Wave MIMO Systems", Proc. of International Conference on Signal Processing and Communications (SPCOM), July 2020.

• H. Singh, S. Gupta, C. Dhawan and A. Mishra, "Path Loss Prediction in Smart Campus Environment: Machine Learning-based Approaches", Proc. of IEEE Vehicular Technology Conference-Spring (VTC-Spring), May 2020.

• M. Majumder, A. Mishra and A. K. Jagannatham, "Expectation Maximization (EM)-based Joint Channel Estimation and Symbol Detection in Doubly Selective Block Transmission Systems", Proc. of IEEE Vehicular Technology Conference-Spring (VTC-Spring), May 2020.

• A. Mishra, A. Rajoriya, A. K. Jagannatham and G. Ascheid, "Sparse Bayesian Learning-based Channel Estimation in Millimeter Wave Hybrid MIMO Systems", Proc. of IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), July 2017.

• A. Mishra and A. K. Jagannatham,"SBL-Based Joint Channel Estimation and ML Sequence Detection in STTC MIMO-OFDM Systems", Proc. of IEEE Global Communications Conference, Exhibition & Industry Forum (GLOBECOM), Dec. 2016.

• A. Mishra and A. K. Jagannatham,"SBL-Based Data-Aided Channel Estimation for Spatially Evolving STTC MIMO Systems", Proc. of National Conference on Communications (NCC), Mar. 2016.

• V. Gupta, A. Mishra, S. Dwivedi, and A. K. Jagannatham,"SBL-based Joint Target Imaging and Doppler frequency Estimation in Monostatic MIMO Radar Systems", Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar. 2016.

• A. Mishra, A. Pal, A. K. Jagannatham and K. Rajawat, "Sparse Bayesian Learning-Based Data-Aided Channel Estimation in STTC MIMO systems", Proc. of Australasian Telecommunication Networks & Applications Conference (ATNAC), Nov. 2014.

• A. Mishra, Gayathri R and A. K. Jagannatham, "Optimal Random Parameter EM Based Kalman Filter (REKF) for Fast Fading MIMO Channel Estimation", Proc. of Australasian Telecommunication Networks & Applications Conference (ATNAC), Nov. 2013.

• A. Mohan, A. Mishra, Karthik M, Padma N, Prashanth G and Deepa R, "A Novel Pre-Distortion type Adaptive Channel Equalisation Technique for SISO Systems", Proc. of International Conference on Emerging Trends in Electrical and Computer Technology (ICETECT), Mar. 2011.

• A. Mishra, Anand S, Ashmita G, Padma N, P. P. Padhi, Jayakumar M, "Non-Linear distortion analysis in BPSK OFDM modulated systems", Proc. of 2nd National Conference on Recent Trends in Communication and Signal Processing (RTCSP), Mar. 2010.

• Instructor for the course EG-101 Computer Networks (Spring 2021) -  It is a core course for all 1st year iMtech students. The main aim of this course is to make the students familiarise and understand how the heterogenous networks are interconnected and information flows from source to the destination. Further, this course delves into various protocols involved in transmitting packets efficiently from one end of the globe to the other end via internet. Towards this end, various network applications and their underlying protocols are discussed. Basics of socket programming enables students to understand the connection between application layer to transport layer for reliable delivery of data. State-of-the-art congestion and flow control algorithms for flow of information over the Internet are also taught.  Existing routing algorithms concepts for information flow are covered. Medium access control protocols and how an information moves steps by step to reach the final destination is finally discussed.

Sponsored Projects

1. Title: Joint parameter estimation and symbol detection in OFDM-based IoT Networks: Machine learning-based approaches
    Role: PI
    Budget: 13,79,400 INR
    Duration: 2 Years (Jan. 2021 - Jan. 2023)
    Agency: Science and Engineering Research Board (SERB), DST, Govt. of India.

2. Title: Modeling, Optimization, and Channel Estimation of Intelligent Reflecting Surface (IRS)-Assisted Underlay Spectrum Sharing for 6G
    Role: Co-PI
    Budget: 25,69,886 INR
    Duration: 3 Years (June 2021 - June 2024)
    Agency: Science and Engineering Research Board (SERB), DST, Govt. of India.

1. Awarded Gold medal for having secured first rank at the university level in the B.Tech programme in ECE for the batch 2007-2011
2. Awarded the Outstanding Teaching Assistant (TA) for the academic year 2015-2016 from Department of Electrical Engineering, IIT Kanpur 
3. Awarded travel grant as per international travel scheme (ITS) by Science and Engineering Research Board (SERB), Department of Science and Technology (DST), India to present poster in the 18th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) 2017 at Hokkaido University, Sapporo, Japan
4. Awarded travel grant of $1000 USD by the IEEE Signal Processing Society (SPS) to attend and present poster at the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2016 in Shanghai, China
5. Awarded grant-in-aid by the conference organizers to attend Australasian Telecommunication Networks & Applications Conference, (ATNAC) 2013 in Christchurch, New Zealand