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  • 2:59 PM, Thursday, 17 Jun 2021

Department of Avionics
     
Deepak Mishra, Ph.D.
Professor & Head
 
Office
Tel:+91-471-2568683
Fax:
Email:deepak.mishra@iist.ac.in













Education
  • Postdoctoral Fellow, (2007-2009) Health Science Center, University of Louisville Louisville, Kentucky, USA.
  • Ph.D. in Electrical Engineering, (2003-2007).   Indian Institute of Technology Kanpur, India.
  • M.Tech. in Instrumentation, (2001-2003). Devi Ahilya University, Indore (M.P.), India.
  • B. E., Electrical Engineering, (1997-2000). Bhilai Institute of Technology, Durg (C.G.), India.
 

Course Offered
  • Machine learning for Signal Processing 
  • Computer Vision 
  • Deep Learning for Computational data science 
  • Deep Learning for computer vision 
  • Image and Video Processing (Aug-Dec 2017)
  • Pattern Recognition Machine Learning (Aug-Dec 2017)
  • Soft Computing/Deep Learning for Signal Processing (Jan-July 2017)
  • Architectures for Real Time DSP (Jan-July 2017)
  • Virtual Reality (2013,2014,2015,2016)
  • Computer Graphics, (Aug-Dec 2010)
  • Soft Computing  (Aug- Dec 2010)
  • Digital Image Processing (Feb-June 2011)
  • Digital Electronics Lab (Feb-June 2011)

Experience
  • January 2021-Till date, Professor and Head,  Dept. of Avionics, Indian Institute of Space Science and Technology Trivandrum, India.
  • December 2019- January 2021, Associate Professor and Head, Dept. of Avionics, Indian Institute of Space Science and Technology Trivandrum, India.
  • January 2015- December 2019, Associate Professor at Dept. of Avionics, Indian Institute of Space Science and Technology Trivandrum, India.
  • August 2010 – December 2014: Assistant Professor at Dept. of Avionics, Indian Institute of Space Science and Technology Trivandrum, India.
  • March 2009 – August 2010: Sr IT Engineer at CMC Limited, Hyderabad, India
  • Jan 2007 – Jan 2009- Postdoctoral Fellow  at University of Louisville, KY, USA
  • July 2004-Dec 2007, Teaching Assistant at Indian Institute of Technology Kanpur, India

Research Work / Area

 Computer vision, Image processing, Deep/Machine learning,  Signal processing, Information Security and Biometrics, Mathematical Modeling (related to Computational Neuroscience). 


Funded Project
  • IIST-ISRO Project 
    • Development and Analysis of Image Fusion Techniques for Satellite Images (Co-Investigator: Dr. Sarvesh Kumar, IIST)
    • Object-based high resolution (optical) image analysis for landslide and land use land cover classification (Co-Investigator Dr. Tapas R Martha, NRSC Hyderabad, Dr. Ramarao, IIST)
    • Development of Virtual Reality Model for Disaster Simulation (Shri. Sashidar Reddy, NRSC Hyderabad) 
Journals
  • Guided MDNet tracker with guided samplesThe Visual Computer, 2021
  • HeartNetEC: a deep representation learning approach for ECG beat classification
  • Harnessing feedback region proposals for multi-object trackingIET Computer Vision, 2020
  • Dictionary learning technique and penalized maximum likelihood for extending measurement range of a Rayleigh lidar, Journal of Applied Remote Sensing, 2020
  • Variable Search Space Converging Genetic Algorithm for Solving System of Non-linear Equations, Journal of Intelligent Systems, 2020
  • Retraining a Pruned Network: A Unified Theory of Time Complexity, Springer Nature Computer Science, 2020
  • Feasibility of Using AM3358 Beagle Board for Networked Realtime Signal Acquisition, Internet of Things, 2020
  • Litu Rout, Rajesh Sadanandan, Deepak Mishra, “Application of image enhancement and a mixture of Gaussian approach in combustion research”, Journal of Sādhanā, May 01, 2019, Vol 44,  pp. 114, 2019.
  • Priya Mariam Raju, Deepak Mishra, Rama Krishna Sai S Gorthi, “Detection based long term tracking in correlation filter trackers”, Journal of Pattern Recognition Letters, May 01, 2019, Vol 122,  pp. 79-85, 2019.
  • Pinaki Ranjan Sarkar, Deepak Mishra, Gorthi RK Sai Subhramanyam, “Automatic attendance system using deep learning framework”, Machine Intelligence and signal analysis,  pp. 335-346, 2019.
  • Satish Nirala, Deepak Mishra, K Martin Sagayam, D Narain Ponraj, X Ajay Vasanth, Lawrence Henesey, Chiung Ching Ho, “6 Image fusion in remote sensing based on sparse sampling method and PCNN techniques”, Journal of Machine Learning for Big Data Analysis, Dec 17, 2018, Vol 1,  pp. 149, 2018.
  • Akshay Pandit Vetal, Darshika Singh, Rakesh Kumar Singh, Deepak Mishra, “Reconstruction of apertured Fourier Transform Hologram using compressed sensing”, Journal of Optics and Lasers in Engineering, Dec 01, 2018, Vol 111,  pp. 227-235, 2018.
  • Rohit Gandikota, Deepak Mishra, “How You See Me”, Journal of arXiv preprint arXiv:1811.08152, Nov 20, 2018.
  • D Mishra, Ahmad Taher Azar, Amit Joshi, “Information and Communication Technology”, Journal of Advances in Intelligent Systems and Computing,  Vol 625, 2018.
  • Deepak Mishra Haribabu K, Ayushi Jain, Swetha, Sai Gorthi, “Incorporating rotational invariance in convolutional neural network architecture”, Journal of Pattern Analysis and Applications,  pp. 1-14, 2018.
  • Rachit Saluja, GRKS Subrahmanyam, Deepak Mishra, RV Vinu, Rakesh Kumar Singh, “Compressive correlation holography”, Journal of Applied Optics, Aug 20, 2017, Vol 56,  pp. 6949-6955, 2017.
  • Madan Kumar Rapuru, Sumithra Kakanuru, Pallavi M Venugopal, Deepak Mishra, Gorthi RK Sai Subrahmanyam, “Correlation-based tracker-level fusion for robust visual tracking”, Journal of IEEE Transactions on Image Processing, Apr 28, 2017, Vol 26,  pp. 4832-4842, 2017.
  • Haribabu Kandi, Deepak Mishra, Subrahmanyam RK Sai Gorthi, “Exploring the learning capabilities of convolutional neural networks for robust image watermarking”, Journal of Computers & Security, Mar 01, 2017, Vol 65,  pp. 247-268, 2017.
  • G Gopakumar, K Hari Babu, Deepak Mishra, Sai Siva Gorthi, Gorthi RK Sai Subrahmanyam, “Cytopathological image analysis using deep-learning networks in microfluidic microscopy”, Journal of JOSA A, Jan 01, 2017, Vol 34,  pp. 111-121, 2017.
  • Vinitha Ramdas, Sai Subrahmanyam RK Gorthi, Deepak Mishra, “Simultaneous speech coding and de-noising in a dictionary-based quantized CS framework”, International Journal of Speech Technology, Sep 01, 2016, Vol 19,  pp. 509-523, 2016.
  • Pothuri Ram Sukumar Rahul Waghmare, Sai Subrahmanyam Gorthi, Deepak Mishra, Rakesh Singh, “Particle Filter based Phase Estimation in Digital Holographic Interferometry”, Journal of the Optical Society of America A, Jan 13, 2016.
  • Deepak Mishra, Rahul G. Waghmare, R.K. Sai Subrahmanyam Gorthi, “Wrapped statistics-based phase retrieval from interference fringes”, Journal of Modern Optics, 2016.
  • Sai Subrahmanyam Gorthi Ankush Chatterjee, Deepak Mishra, “Enhancing Face Recognition Under Unconstrained Background Clutter Using Color Based Segmentation”, Advances in Signal Processing and Intelligent Recognition Systems, Vol 425,  pp. 51-62, 2016.
  • L Vidya, V Vivekanand, U Shyamkumar, Deepak Mishra, “RBF-network based sparse signal recovery algorithm for compressed sensing reconstruction”, Advances in Signal Processing and Intelligent Recognition Systems, Mar 01, 2015, Vol 63,  pp. 66-78, 2015.
  • Anita Thakur, Deepak Mishra, “Fuzzy Contrast Mapping for Image Enhancement”, 2015.
  • D Mishra, A Seth, “Comparative Study of Geometric and Image-Based Modelling and Rendering Techniques”, Journal of arXiv preprint, 2014.
  • Deepak Mishra, Nishank Kumar, “Stereo Vision System for Real-Time Applications”, International Journal of Information Processing, Vol 8,  pp. 12-22, 2014.
  • Deepak Mishra, Abhishek Yadav, Prem K Kalra, “A novel multiplicative neural network architecture motivated by spiking neuron model”, Journal of the Indian Institute of Science, Vol 86,  pp. 465, 2013.
  • D Ranjan, D Mishra, SH Hasan, “Bioadsorption of arsenic: an artificial neural networks and response surface methodological approach”, 2011.
  • Deepak Mishra, Prem K Kalra, “AN ENERGY FUNCTION APPROACH FOR FINDING ROOTS OF CHARACTERISTIC EQUATION”, Journal of Industrial & Engineering Chemistry Research, Vol 50,  pp. 9852-9863, 2011.
  • NM Mellen and Deepak Mishra, “Endogenous Burster Distribution in Rat Ventrolateral Medulla Overlap Respiratory Rhythmogenic  Networks”, Journal of Neuroscience, June 23, 2010, 30(25):8383-8392.
  • Sudipta Ray, Prem Kumar Kalra, Deepak  Mishra, Abhishek Yadav, “Non-linear Dynamical Analysis of Point Neuron Models and Signal Propagation along Axon”, Vol 8, 2008.
  • Prem Kumar Kalra, Rajiv  Shekhar, and Deepak  Mishra, "Application of  Neural  Network in the  Stock Market  Indian Journal of Capital  Market", Vol. 1, Issue 1, pp.  6-13, April-June 2007.
  • Deepak Mishra, Abhishek Yadav, Sudipta Ray, Prem Kumar Kalra, “Artificial Neural Network Type Learning with Single Multiplicative Spiking Neuron”, Int. J. Comput. Syst. Signal, Vol. 8, pp. 29-41, 2007.
  • Abhishek Yadav, Deepak Mishra, R. N. Yadav, Sudipta Ray, Prem Kumar Kalra,  “Time-series prediction with single integrate-and-fire neuron”. Appl. Soft Comput., Vol. 7, No. 3, pp. 739-745, 2007.
  • Mishra, D., Yadav, A., Ray, S., and P.K. Kalra, “A Learning Algorithm for a  Novel Neural Network Architecture Motivated by Integrate-And-Fire Neuron Model”, Neural Network World, pp. 513-532, 2006.
  • Mishra, D., Yadav, A., Ray, S., and P.K. Kalra, “A Novel Multiplicative Neural Network Architecture Motivated by Spiking Neuron Model”, Journal of Indian Institute of Science Bangalore, 86, pp. 465–479, 2006.
  • Mishra, D., A.K. Shukla, and P.K. Kalra, “OR-Neuron Based Hopfield Neural Network for Solving Economic Load Dispatch Problem”, Neural Information Processing – Letters and Reviews, pp. 249-259, 2006.
  • Mishra, D., and P.K. Kalra, “Modified Hopfield Neural Network Approach for Solving Nonlinear Algebraic Equations”, Engineering Letters on Soft Computing in Artificial Intelligence, Data and Web Mining, Machine Learning, 2006.
  • Mishra, D., Yadav, A., Ray, S., and P.K. Kalra, “Controlling Synchronization of Modified FitzHugh-Nagumo Neurons under External Electrical Stimulation”, NeuroQuantology, Vol 4, No 1, pp. 50-67, 2006.
  • Mishra, D., Ucar, A., “Pspice Realization of the Ucar Prototype Delay Model”, International Journal of Nonlinear Sciences and Numerical Simulation,  Vol. 7; No. 2, pp. 209-214, 2006.
  • Mishra, D., A. Yadav, S. Ray, and P.K. Kalra, “Levenberg-Marquardt Learning Algorithm for Integrate-and-Fire Neuron Model”, Neural Information Processing – Letters and Reviews, Vol. 9, No.2,  2005, pp. 41-51.
  • Deepak Mishra, Abhishek Yadav, Sudipta Ray, Prem K Kalra, “Effects of noise on the dynamics of biological neuron models”, Soft Computing as Transdisciplinary Science and Technology, 2005, pp. 61-69.
Magazine Articles
  • Dwivedi, A., Mishra, D., and Kalra, P.K., “Handling Uncertainties – using Probability Theory to Possibility Theory”, Directions, The Magazine of IIT Kanpur, Vol. 7, No. 3, pp. 1 – 12, 2006.
  • Mishra, D, Yadav, A, Ray, S. and Kalra, P.K., “Exploring Biological Neuron Models”, ”, Directions, The Magazine of IIT Kanpur, Vol. 7, No. 3, pp. 13 – 22, 2006.
Abstracts
  • Deepak Mishra,  Rhonda Dzakpasu  Xin Chen and  Nicholas M.  Mellen 2008  Site-dependent peptidergic  modulation of respiratory  rhythm, pattern and network activity in the  neonate rodent tilted sagittal slab  Society for neuroscience conference, Washington  DC, 2009
  • Nicholas M  Mellen, Rhonda  Dzakapasu,  Deepak Mishra  2008  Perturbation Analysis of respiratory networks  University of Louisville,  Neuroscience Day 2008.
  • Alexis Thomas,  Deepak Mishra,  Nicholas M.  Mellen  2008  Troubleshooting NK-1  receptor  Immunohistochemistry to  permit a taxonomy of  respiratory networks in  ventrolateral medulla of  the neonate rat Summer course  presentation at University  of Louisville, KY, USA, 2008
  • SSI Young Scientist Award – 2012 from System Society India, New Delhi, India
International Conference
National Conferences
Invited Lectures/Talks
  • Basic and Advanced Image Processing Techniques, CMC Ltd Hyderabad, Dec 2009.
  • Orientation descriptor based fingerprint matching, CMC Ltd Hyderabad, April 2009.
  • Application of Symbolic and Control System Toolbox, Indian Institute of Technology Kanpur, May 16?17, 2006.
  • An Introduction to Artificial Neural Network and Artificial Intelligence, KNIET, Banda, November 19?20, 2005.
  • Introduction to Matlab and Simulink for Engineers, Government Engineering College?Raipur, October 4, 2005.
  • Dynamical Aspects and Learning in Biological Neuron Models, Indian Institute of Technology Kanpur, August 26, 2004.
Patents, Awards and Recognitions
  • Finalist in Tata innovista 2010.
  • NIH postdoctoral fellowship at University of Louisville KY, USA for 2007/2008
  • IBM travel grant for attending the ICONIP?2004.
  • Teaching Assistantship at IIT Kanpur
  • Graduate Aptitude Test of Engineers (National Level, AIR 300)
Mentors who steered my life
  • Dr Prem Kumar Kalra , Director IIT Rajasthan
  • Dr. Nicholas M Mellen, Assistant Professor, University of Louisville, KY, USA
  • Dr. Laxmidhar Behera, Professor, IIT Kanpur
  • Mr. Gopalakrishnan, CEO, Pune Instrumentation private limited Pune, India