International Conference

• Rama Rao Nidamanuri, Deepak Mishra, Kumari Pooja: “MULTI-SCALE DILATED RESIDUAL CONVOLUTIONAL NEURAL NETWORK FOR HYPERSPECTRAL IMAGE CLASSIFICATION”, IEEE WHISPERS, 2019.
• Mohammed MN Sahal, Deepak Mishra, Namya Gupta, Rajesh Sadanandan: “Application of Digital Image Processing Method for Spray Characterization”, 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN), 2019, pp. 91-96.
• Minha Mubarak, Thomas James Thomas, Sheeba Rani J, Deepak Mishra: “Higher order Dictionary Learning for Compressed Sensing based Dynamic MRI reconstruction”, BMVC 2019.
• Pratik Ratadiya and Deepak Mishra: “An attention ensemble based approach for multilabel profanity detection”, IEEE ICDM workshop, 2019.
• Arnab Karmakar, Deepak Mishra, Anandmayee Tej: “Stellar Cluster Detection using GMM with Deep Variational Autoencoder”, 2018 IEEE Recent Advances in Intelligent Computational Systems (RAICS), 2018, pp. 122-126.
• Deepak Mishra: “The sixth visual object tracking vot2018 challenge results”, Proceedings of the European Conference on Computer Vision (ECCV), 2018.
• Litu Rout, Priya Mariam Raju, Deepak Mishra, Rama Krishna Sai Subrahmanyam Gorthi: “Learning Rotation Adaptive Correlation Filters in Robust Visual Object Tracking”, Asian Conference on Computer Vision, 2018, pp. 646-661.
• P Aswathy, Deepak Mishra: “Deep GoogLeNet Features for Visual Object Tracking”, 2018 IEEE 13th International Conference on Industrial and Information Systems (ICIIS), 2018, pp. 60-66.
• Deepan Das, Deepak Mishra: “Unsupervised Anomalous Trajectory Detection for Crowded Scenes”, 2018 IEEE 13th International Conference on Industrial and Information Systems (ICIIS), 2018, pp. 27-31.
• Litu Rout, Deepak Mishra, Rama Krishna Sai Subrahmanyam Gorthi: “Rotation adaptive visual object tracking with motion consistency”, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 2018, pp. 1047-1055.
• Litu Rout, Deepak Mishra, Rama Krishna Sai Subrahmanyam Gorthi: “WAEF: Weighted Aggregation with Enhancement Filter for Visual Object Tracking”, Proceedings of the European Conference on Computer Vision (ECCV), 2018.
• Pinaki Ranjan Sarkar, Deepak Mishra, Gorthi RK Sai Subrahmanyam: “Classification of Breast Masses Using Convolutional Neural Network as Feature Extractor and Classifier”, Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2018, pp. 25-36.
• Pilli Madalasa, Gorthi RK Sai Subrahmanyam, Tapas Ranjan Martha, Rama Rao Nidamanuri, Deepak Mishra: “Bayesian Approach for Landslide Identification from High-Resolution Satellite Images”, Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2018, pp. 13-24.
• Ayushi Jain, Gorthi RK Sai Subrahmanyam, Deepak Mishra: “Rotation Invariant Digit Recognition Using Convolutional Neural Network”, Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2018, pp. 91-102.
• PL Aparna, Rahul G Waghmare, Deepak Mishra, RK Sai Subrahmanyam Gorthi: “Effective Denoising with Non-local Means Filter for Reliable Unwrapping of Digital Holographic Interferometric Fringes”, Proceedings of 2nd International Conference on Computer Vision & Image Processing, 2018, pp. 13-24.
• Pinaki Ranjan Sarkar, Deepak Mishra, Gorthi RKSS Manyam: “Improving Isolated Bangla Compound Character Recognition Through Feature-map Alignment”, 2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR), 2017, pp. 1-5.
• Ayushi Jain, Gorthi RK Sai Subrahmanyam, Deepak Mishra: “Stacked Features Based CNN for Rotation Invariant Digit Classification”, International Conference on Pattern Recognition and Machine Intelligence, 2017, pp. 527-533.
• Anita Thakur, Deepak Mishra: “Hyper spectral image classification using multilayer perceptron neural network & functional link ANN”, 2017 7th International Conference on Cloud Computing, Data Science & Engineering-Confluence, 2017, pp. 639-642.
• Kumar Rohit, RK Sai Subrahmanyam Gorthi, Deepak Mishra: “Applicability of Self-Organizing Maps in Content-Based Image Classification”, Proceedings of International Conference on Computer Vision and Image Processing, 2017, pp. 309-321.
• Rahul G Waghmare, Deepak Mishra, GRK Sai Subrahmanyam: “Signal Tracking Approach based Phase Estimation for Analysis of Thermal Expansion by Digital Holographic Interferometry”, 3D Image Acquisition and Display: Technology, Perception and Applications, 2016, pp. JW4A. 15.
• Abhishek Kumar, S. Nithin Shrivatsav, G. R. K. S. Subrahmanyam, Deepak Mishra: “Application of transfer learning in RGB-D object recognition”, 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2016, pp. http://ieeexplore.ieee.org/document/7732.
• G. R K S. Subrahmanyam M. k. Rapuru, S. Kakanuru, Deepak Mishra: “ECCV The Visual Object Tracking VOT2016 workshop”, ECCV The Visual Object Tracking VOT2016 workshop, 2016, pp. 777-823.
• P Ram Sukumar, Rahul G Waghmare, Rakesh Kumar Singh, Gorthi RK Sai Subrahmanyam, Deepak Mishra: “Phase unwrapping with Kalman filter based denoising in digital holographic interferometry”, 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2015, pp. 2256-2260.
• C Preetha, Sai Subrahmanyam Gorthi, Deepak Mishra: “Compressive sensing framework for simultaneous compression and despeckling of SAR images”, 2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR), 2015, pp. 1-6.
• D. Mishra V. Mohan, N. R. N. Raj: “Randomized Hough transform-based vision algorithm for small unmanned aerial vehicles using an airbag”, 2015 IEEE International Conference on Computer Graphics, Vision and Information Security (CGVIS), 2015, pp. 185 - 189.
• Deepak Mishra, Param Uttarwar: “Development of a Kinect-Based Physical Rehabilitation System”, Third International Conference on Image Information Processing, 2015, pp. 387 - 392.
• Anita Thakur, Joss Benny, Brijesh Singh Butola, Deepak Mishra: “Restoration of space variant motion blurred images using adaptive particle filter techniques”, 2015 4th International Conference on Reliability, Infocom Technologies and Optimization (ICRITO) (Trends and Future Directions), 2015.
• D Mishra, PR Sukumar, RG Waghmare, RK Singh, GRKS Subrahmanyam: “Phase unwrapping with Kalman filter based denoising in digital holographic interferometry”, Advances in Computing, Communications and Informatics (ICACCI), 2015.
• Vinitha Ramdas, Deepak Mishra, Sai Subrahmanyam Gorthi: “Speech coding and enhancement using quantized compressive sensing measurements”, 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015, pp. 387 - 392.
• G R K Sai Waghmare, Rahul G Subrahmanyam, Deepak Mishra: “Signal tracking approach for simultaneous estimation of phase and instantaneous frequency”, 2015 IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES), 2015, pp. 1-5.
• Madhu S Nair R. Raji, Deepak Mishra: “A Novel Texture Based Automated Histogram Specification for Color Image Enhancement Using Image Fusion”, International Conference on Information and Communication Technologies - ICICT 2014.
• Vinitha Ramdas, Deepak Mishra,Sai Subrahmanyam Gorthi: “Efficient Speech Coding using a Hybrid Dictionary in a Quantized CS Framework”,EIGHTH INTERNATIONAL CONFERENCE ON IMAGE AND SIGNAL PROCESSING (ICISP 2014).
• Sai Siva Gorthi, Deepak Mishra,G. R. K. Sai Subrahmanyam,Rahul G. Waghmare: “Extended Kalman Filter based Phase Estimation in Digital Holographic Interferometry”, EIGHTH INTERNATIONAL CONFERENCE ON IMAGE AND SIGNAL PROCESSING (ICISP 2014).
• Sai Subrahmanyam Gorthi, Deepak Mishra,Nishank Kumar: “Development of Fast and Accurate Stereo Vision System for Robotic Arm Application with Sub-pixel Accuracy”,EIGHTH INTERNATIONAL CONFERENCE ON IMAGE AND SIGNAL PROCESSING (ICISP 2014).
• V. Vivekanand, L. Vidya, U.Shyam Kumar, Deepak Mishra: “Noise immunity analysis of compressed sensing recovery algorithms”,International Conference On Signal Processing And Integrated Networks (SPIN), 2014.
• Rahul G Waghmare, Deepak Mishra: “UKF based multi-component phase estimation in digital holographic Moiré”,2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013, pp. 1-4.
• L Vidya, V Vivekananad, U ShyamKumar, Deepak Mishra, R Lakshminarayanan: “Feasibility study of applying compressed sensing recovery algorithms for launch vehicle telemetry”, 2013 Annual International Conference on Emerging Research Areas and 2013 International Conference on Microelectronics, Communications and Renewable Energy, 2013, pp. 1-4.
• K Chitra, Sudin Dinesh, Deepak Mishra, V Brinda, V.R Lalithambika, B Manoj Kumar: “3D information retrieval for visual odometry system of planetary exploration rovers - A stereo vision approach”, 2013 International Conference on Advances in Computing, Communications and Informatics (ICACCI), 2013.
• Abhishek N Patil, Deepak Mishra: “A novel stereoscopic approach for smooth navigation of rover”, 2012 IEEE International Conference on Computational Intelligence and Computing Research, 2012, pp. 1-4.
• Prem Kumar Kalra, Deepak Mishra, Kanishka Tyagi: “A Novel Complex-Valued Counterpropagation Network”, Proceedings of the IEEE Symposium on Computational Intelligence  and Data Mining, CIDM 2007 CIDM 2007, pp. 81-87
• Deepak Mishra, N. Subhash Chandra Bose, Arvind Tolambiya, Ashutosh Dwivedi, Prabhanjan Kandula, Ashiwani Kumar, Prem K. Kalra, “Color Image Compression with Modified Forward-Only Counterpropagation Neural Network: Improvement of the Quality using Different Distance Measures,” icit, pp. 139-140,  9th International Conference on Information Technology (ICIT’06),  2006
• Deepak Mishra, Arvind Tolambiya, Amit Shukla, Prem K. Kalra, “Stability Analysis for Higher Order Complex-Valued Hopfield Neural Network”, Neural Information Processing,13th International Conference, ICONIP 2006, Hong Kong, China, October 3-6, 2006, Proceedings, Part I, pp. 608-615 .
• Mishra, D., Yadav, A, Ray, S., and Kalra, P.K., “A Neural Network Using Single Multiplicative Spiking Neuron for Function Approximation and Classification”, IEEE International Joint Conference on Neural Network, IJCNN-2006, Vancouver (Canada), pp. 396- 403, 2006.
• Mishra, D, Yadav, A, and Kalra, P.K., “Learning with Single Quadratic Integrate-and-Fire Neuron”, Advances in Neural Networks – ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28 – June 1, 2006, Proceedings, Part I,  pp. 424-429, 2006.
• Yadav, A., Mishra, D., Ray, S., Yadav, R.N. and Kalra, P.K., “Learning with Single Integrate-and-Fire Neuron”, Neural Networks, 2005. IJCNN ‘05. Proceedings. 2005 IEEE International Joint Conference on Volume 4, 31 July-4 August. 2005 pp.2156 – 2161.
• Mishra, D, Yadav, A, Ray, S. and Kalra, P.K., “Effects of Noise on the Dynamics of Biological Neuron Models”, Proceedings of the Fourth IEEE International Workshop WSTST05, Muroran (Japan), pp. 61 – 69, 2005.
• A Yadav, D Mishra, S Ray, RN Yadav, PK Kalra, “Representation of complex-valued neural networks: a real-valued approach”, Proceedings of 2005 International Conference on Intelligent Sensing and Information Processing, 200, pp. 331-335.
• Mishra, D, Yadav, A, Ray, S. and Kalra, P.K., “Nonlinear Dynamical Analysis on Coupled Modified FitzHugh-Nagumo Neuron Model”, Proceedings of International Symposium of Neural Network 2005, Chongqing (China), pp. 95 – 101, 2005.
• Prem K Kalra, Deepak Mishra, Abhishek Yadav, “Neuronal Dynamics and Learning”, Proceedings of the 7th China-India-Japan-Korea Joint Workshop on Neurobiology and Neuroinformatics 2005.
• Mishra D, Sumitra P., S. Gopalakrishnan, P. Mathur, “Automatic Flood Warning System”, INCON, Pune, India, 2005.
• Mishra, D, Yadav, A and Kalra, P.K.,“Chaotic Behavior in Neural Networks and FitzHugh-Nagumo Neuronal Model”, ICONIP-2004, Kolkata, pp. 868-873, 2004.
• Mishra, D, Yadav, A, Ray, S. and Kalra, P.K., “Nonlinear Dynamical Analysis of Single Neuron Models and Study of Chaos in Brain”, International Conference on Cognitive Science, Allahabad, pp. 188 – 193, 2004.
• Abhishek Yadav, Deepak Mishra, Sudipta Ray, Prem K Kalra, “Fuzzy differential equation based neuron models and their numerical solutions using genetic algorithm”,International Conference on Cognitive Science, Allahabad , pp. 44-49, 2004.
• Sudipta Ray, Deepak Mishra, Abhishek Yadav, Prem K Kalra, “Propagation of action potential and concept of ephaptic interaction in axon”,International Conference on Cognitive Science, Allahabad , pp. 182-187, 2004.
• Deepak Mishra, Abhishek Yadav, Sudipta Ray, Prem K Kalra, “The effect of synaptic bombardment in dynamics of biological neuron models”,International Conference on Cognitive Science, Allahabad , pp. 200-205, 2004.
• Mishra, D, Yadav, A, Ray, S. and Kalra, P.K., “Chaos in Firing Rate Recurrent Neural Network Models”, International Computer Engineering Conference, Cairo (Egypt), pp. 366 – 370, 2004.

National Conferences

• Aprameyo Roy, Deepak Mishra: “ECNN: Activity Recognition Using Ensembled Convolutional Neural Networks”, TENCON 2019-2019 IEEE Region 10 Conference (TENCON), 2019, pp. 757-760.
• Pallavi Venugopal M, Deepak Mishra, Gorthi R K Sai Subrahmanyam: “Computationally Efficient Deep Tracker: Guided MDNet”, Twenty-third National Conference on Communications (NCC), 2017.
• Sumithra Kakanuru, Madan Kumar Rapuru, Deepak Mishra, Sai Subrahmanyam Gorthi: “Complementary tracker's fusion for robust visual tracking”, Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing, 2016, pp. 51.
• Haribabu Kandi, Deepak Mishra, GRK Subrahmanyam: “A differential excitation based rotational invariance for convolutional neural networks”, Proceedings of the Tenth Indian Conference on Computer Vision, Graphics and Image Processing, 2016, pp. 70.
• Jay Shah, Deepak Mishra: “Integrated algorithm for different tracking challenges”, 2015 Fifth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2015, pp. 1-4.
• K Haribabu, GRKS Subrahmanyam, Deepak Mishra: “A robust digital image watermarking technique using auto encoder based convolutional neural networks”, 2015 IEEE Workshop on Computational Intelligence: Theories, Applications and Future Directions (WCI), 2015, pp. 1-6.
• Deepak Mishra, Supriya Chakraborty, Mukul Sarkar: “Reflection based blood pulsation measurement using linear polarization of light”, 2015 IEEE SENSORS, 2015, pp. 1-4.
• V Vivekanand, L Vidya, U Shyam Kumar, Deepak Mishra: “Radial basis function cascade network for sparse signal recovery (RASR)”, 2014 Twentieth National Conference on Communications (NCC), 2014, pp. 1-5.
• SK Jain, Vinod Senecha, Deepak Mishra, SC Joshi: “Electron cyclotron resonance plasma diagnostics to study microwave power coupling with Langmuir probe”, Proceedings of the DAE-BRNS Indian particle accelerator conference, 2011.
• Deepak Mishra, K Chitra: “PERFORMANCE ANALYSIS OF FEATURE DETECTOR AND FEATURE MATCHING ALGORITHMS STEREO VISION BASED APPROACH FOR VISUAL ODOMETRY SYSTEM OF PLANETARY ROVERS”, Advances in Modeling, Optimization and Computing (AMOC - 2011).
• Mishra, D, Yadav, A, Ray, S. and Kalra, P.K., “Bifurcation Analysis in Modified FitzHugh-Nagumo Neuronal Model”, National Conference on Control and Dynamical Systems (NCCDS ‘05), Jan 27,28 – 2005, Indian Institute of Technology – Bombay, Mumbai, 2005.
• Mishra, D, Yadav, A, Ray, S. and Kalra, P.K., “Some Aspects of the Dynamical Analysis of Integrate and fire Neuron Model and Synaptic Interaction”, National Conference on Recent Advances in Power Signal Processing and Control, (APSC 2004) National Institute of Technology – Rourkela, Orissa, pp. 174 – 179, 2004.

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