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Address  :  Room No. 103, Block - A
   IIT Hyderabad
   Kandi, Sangareddy - 502285
   Telangana (State), India.
Phone  :  +91 - 94917 12312 (Mobile)
  040- 2301 6021(Off)
Fax  :  +91 – 40 – 2301 6003
Skype  :  chalavadikm
Email  :  ckm[at]cse.iith.ac.in
Website  :  www.iith.ac.in/~ckm/
                   

C Krishna Mohan

Professor

Department of Computer Science and Engineering  &

Dean (Public and Corporate Relations)


Brief Biography

Dr. C. Krishna Mohan is currently a Professor in the Department of Computer Science and Engineering and the Dean of Public and Corporate Relations at the Indian Institute of Technology Hyderabad (IIT Hyderabad), India. He has been with IIT Hyderabad since 2009. He was also the Head of the Department of Computer Science and Engineering, IIT Hyderabad from May 2010 till October 2014. Before joining IIT Hyderabad, he was a senior faculty member at the National Institute of Technology Karnataka, Surathkal (NITK Surathkal). He received his M.Tech from NITK Surathkal and Ph.D. from the Indian Institute of Technology Madras (IIT Madras).

Prof Krishna Mohan's heads Visual Learning and Intelligence Lab (VIGIL) at IIT Hyderabad working in the research areas of video content analysis, computer vision, machine learning, deep learning. e is a recipient of Excellence in Teaching Award, in recognition of distinguished teaching in the year 2018 at IIT Hyderabad. He has published more than 60 papers in peer-reviewed international journals and conferences proceedings. He has guided several Ph.D., Masters, and Undergraduate students. He has successfully carried out several projects with industry, government agencies, and academia. He serves as a reviewer for several reputed international conferences and IEEE journals and is a member of professional bodies like IEEE and ISTE.

-<<< Research >>>-

Research Areas


I am working in the area of video content analysis. The main objective of our research is to address various issues in representing videos which can help in video classification and video abstraction for automatic indexing and retrieval of videos. Some of the important studies include: (a) exploring features to describe video content, (b) video genre classification, (c) activity recognition, (d) surveillance video analysis, (e) expression recognition, and (f) active video understanding for recommendation, using various techniques like compressive sensing, deep learning and kernel methods.

Read more..


Video Content Analysis, Computer Vision, Pattern Recognition, Machine Learning, Deep Learning

  • Surveillance Video Analytics for Smart Cities
  • Action Recognition
  • Representation Learning
  • Fine-grained Action Recognition
  • Scalable and Distributed Methods for Large Scale Visual Computing
  • Spontaneous Facial Expression Recognition
  • Fingerprint and Palmprint Recognition
  • De-duplication of Person’s Identity Using Multimodal Biometrics
  • Medical Image Processing
  • Remote Imagery Analysis on Satellite and Radar Data
  • Geospatial Image Analysis
  • Semantic Description of Video Activities
  • Autonomous Vehicle Technology
  • Mobile Edge Computing
  • Weather Forecasting using Live Camera, Radar and Satellite Data
  • Content Driven Advertisement Insertion
  • Anamoly Detection in Fine Grained Actions
















Research Supervision


  • PhD Graduated - 8    PhD Ongoing - 7


  • PhD Alumni


     

    Mettu Srinivas [Website] - 2014
    Area of Research
     :  Medical Image Processing
    Thesis Title  :  Classification of Medical Data Based on Sparse Representation Using Dictionary Learning link
    Current Affiliation
     :  Assistant Professor, NIT Warangal

     

    N Pattabhi Ramaiah [Website] - 2015
    Area of Research
     :  Biometrics
    Thesis Title  :  De-duplication of Person’s Identity Using Multimodal Biometrics link
    Current Affiliation
     :  Researcher, Canny Quest Intl. Fz LLC, Dubai

     

    Avula Tirupathi rao [Website] - 2016
    Area of Research
     :  Biometrics
    Thesis Title  :  Efficient Approaches for Fingerprint and Palmprint Recognition link
    Current Affiliation
     :  Researcher, Reliance Jio Infocomunications Ltd

     

    Earnest Paul Ijjina [Website] - 2017
    Area of Research
     :  Human Action Recognition
    Thesis Title  :  Efficient Approaches for Human Action Recognition using Deep Learning link
    Current Affiliation
     :  Assistant Professor, NIT Warangal

     

    Shyju Wilson [Website] - 2018
    Area of Research
     :  Action Recognition in Sports
    Thesis Title  :  Design of Compact and Discriminative Dictionaries link
    Current Affiliation
     :  Assistant Professor, IIIT Guwahati

     

    Debaditya Roy [Website] - 2018
    Area of Research
     :  Action Recognition
    Thesis Title  :  Representation Learning For Action Recognition link
    Current Affiliation
     :  Research Scientist, Institute of High Performance Computing (IHPC), A*STAR Singapore

     

    Dinesh Singh [Website] - 2019
    Area of Research
     :  Scalable Machine Learning
    Thesis Title  :  Scalable and Distributed methods for Large Scale Visual Computing link
    Current Affiliation
     :  Post-doctoral researcher AIP, Riken, Japan

     

    Nazil Perveen [Website] - 2020
    Area of Research
     :  Facial Expression Recognition
    Thesis Title  :  Learning Representations For Spontaneous Facial Expression Recognition
    Current Affiliation
     : 


    PhD Ongoing

     

    C Nagaraju
    Part-time
    Area of Research  :  Scalable Machine Learning
    Current Affiliation
     :  Assistant Professor, BVRIT Hyderabad

     

    Prudhviraj Jeripothula
    Area of Research  :  Semantic Description of Video Activities
    Funded by
     :  UGC-NET SRF

     

    Rajesh Reddy
    Part-time
    Area of Research  :  Remote Imagery Analysis
    Current Affiliation
     :  ADRIN, Dept. of Space

     

    Rasna Azeez
    Part-time
    Area of Research  :  Geospatial Image Analysis
    Current Affiliation
     :  Honeywell

     

    Y. Sravani[Website]
    Area of Research  :  Fine-grained Action Recognition
    Funded by
     :  UGC-NET JRF

     

    Suresh Samudrala
    Part-time
    Area of Research  :  3D-point Cloud Data Analysis
    Current Affiliation
     :  Sr. Technical Lead, Hexagon, Hyderbad

     

    K. Naveen Kumar[Website]
    Area of Research  :  Scene Perception and Path Planning in Autonomous Vehicle Technology
    Funded by
     :  M2Smart Project


    • MTech Graduated - 12    MTech Ongoing - 7


    MTech Graduated

    S No.
    Name of the Student Thesis Title
    1.
    Bedanta Das (2019) Action Localization in Videos
    2.
    Guguloth Suresh (2017) Reducing Convergence Time of Data Parallel Approach for Distributed Neural Network
    3.
    Lokesh Janghel (2017) Investigation of Siamese CNN for Person Detection and Re - Identification
    4.
    Kunal Dahiya (2016) Detection of Abnormal Events in Surveillance Videos
    5.
    Vidhi Rani K (2016) Heirarchical Background Subtraction Algorithm for Foreground
    6.
    Kalla Srinivas (2015) Detection of Abnormal Events in Surveillance Videos
    7.
    E Harish (2015) Face Recognition from Real Time Videos Using Stacked Autoencoder
    8.
    Neeraj Kumar (2015) Content Based Image Retrieval for Big Visual Data
    9.
    Ch Sharath (2014) Matching Kernel for Variable Length Patterns of Human Activity Classification
    10.
    J Srikanth (2014) Scene Segmentation and Classification
    11.
    Tony Basil (2014) Features for Detection of Heart Arrhythmias
    12.
    K Jenni (2011) Content Based Image Retrieval by Preprocessing Image Database

    MTech Ongoing

    S No.
    Name of the Student Thesis Title
    1.
    GSD Sanjay Bharat Video Analysis for Smart Surveillance
    2.
    Abhinav Singh Person Re-Identification
    3.
    Vishal Kumar Road Segmentation
    4.
    Sachin Goyal Thunderstorm Detection based on Geospatial Data
    5.
    Vineel Abhinav Multi-object Tracking
    6.
    Uday Kumar Computer Vision for Autonomous Vehicles
    7.
    Sai Harsha Traffic Congestion Prediction

  • BTech Graduated - 35


  • Collaborations


    • Prof. Vijayakumar B, Carnegie Mellon University, USA
    • Prof. Ramesh Jain, University of California, Irvine, USA
    • Prof. Leonid Mestetskiy, Moscow State University, Moscow, Russia
    • Prof. Masaki Ito, University of Tokyo, Tokyo, Japan
    • Prof. Atsushi Fukuda, Nihon University, Tokyo, Japan
    • Tsutomu Tsuboi, Nagoya Electrical, Nagoya, Japan


    -<<< Publications >>>-

    Patents - 3     Book Chapters - 2     Journals - 18     International Conferences - 49


    Patents

    1. C. Krishna Mohan, Dinesh Singh, C. Vishnu, and Debaditya Roy. "Method and system for detection of accident in traffic surveillance video'', Indian Patent Office, Official journal No. 31/2019, Application no. 201841003604, Aug. 02, 2019
    2. Debaditya Roy, Dinesh Singh, C. Vishnu, and C. Krishna Mohan. "Method and system for detection of crime events in surveillance videos'', Indian Patent Office, Official journal No. 21/2019, Application no. 201741041239, May 24, 2019
    3. C. Krishna Mohan, Dinesh Singh, C. Vishnu, and Debaditya Roy. "Method and system for real time detection of traffic violation by two-wheeled riders'', Indian Patent Office, Official journal No. 18/2019, Application no. 201741038813, May 03, 2019

    Book Chapters

    1. Earnest Paul Ijjina and C. Krishna Mohan, "Human behavioural analysis using evolutionary algorithms and deep learning," Hybrid Intelligence for Image Analysis and Understanding, John Wiley, UK, pp. 165-186, 2017. ISBN101119242924, ISBN13 9781119242925
    2. Shyju Wilson, C. Krishna Mohan, and K. Srirama Murthy, "Event Based Sports Videos Classification using HMM Framework," Computer Vision in Sports, Springer International Publishing, pp. 229-244, 2014. doi: 10.1007/978-3-319-09396-3_11

    Journals

    1. Inayathullah Ghori, & Debaditya Roy, Renu John, and C Krishna Mohan, "Echocardiogram Analysis using Motion Profile Modeling," in IEEE Transactions on Medical Imaging, pp. 1-1. 10.1109/TMI.2019.2957290, 2019
    2. D. Roy, S. R. M. K and C. K. Mohan, "Unsupervised Universal Attribute Modelling for Action Recognition," IEEE Transactions on Multimedia. doi: 10.1109/TMM.2018.288702, 2018 [PDF]
    3. Dinesh Singh and C. Krishna Mohan, "Deep spatio-temporal representation for detection of road accident using stacked autoencoder," IEEE Transactions on Intelligent Transportation Systems, vol. 20, no. 3, pp. 879-887, March 2019. doi:10.1109/TITS.2018.2835308 [PDF]
    4. Nazil Perveen, Debaditya Roy, and C. Krishna Mohan, "Spontaneous expression recognition using universal attribute model," IEEE Transactions on Image Processing, vol. 27, no. 11, pp. 5575-5584, Nov. 2018. DOI:10.1109/TIP.2018.2856373 [PDF]
    5. Debaditya Roy and C. Krishna Mohan, "Snatch Theft Detection in Unconstrained Surveillance Videos Using Action Attribute Modeling," Pattern Recognition Letters (Elsevier), Vol. 108, 2018, Pages 56-61, March 2018. doi.org/10.1016/j.patrec.2018.03.004 [PDF]
    6. Shyju Wilson and C. Krishna Mohan, "An information bottleneck approach to optimize the dictionary of visual data," IEEE Transactions on Multimedia, vol. 20, no. 1, pp. 96-106, Jan. 2018. doi: 10.1109/TMM.2017.2716835
    7. Earnest Paul Ijjina and C. Krishna Mohan, "Human action recognition in RGB-D using motion sequence and deep learning," Pattern Recognition (Elsevier), vol. 72, pp. 504-516, Dec. 2017. doi: 10.1016/j.patcog.2017.07.013
    8. Shyju Wilson and C. Krishna Mohan, "Coherent and non-coherent dictionaries for action recognition," IEEE Signal Processing Letters, vol.24, no.5, pp.698-702, May 2017. doi:10.1109/LSP.2017.2690461
    9. Dinesh Singh, Debaditya Roy, and C. Krishna Mohan, "DiP-SVM : Distribution preserving kernel support vector machine for big data," IEEE Transactions on Big Data, vol.3, no.1, pp.79-90, Jan-Mar 2017. doi:10.1109/TBDATA.2016.2646700 [PDF]
    10. Dinesh Singh and C. Krishna Mohan, "Graph formulation of video activities for abnormal activity recognition," Pattern Recognition (Elsevier), vol. 65, pp. 265-273, 2017. doi-10.1016/j.patcog.2017.01.001 [PDF]
    11. Earnest Paul Ijjina and C Krishna Mohan, "Classification of human actions using pose-based features and stacked auto encoder," Pattern Recognition Letters (Elsevier), vol. 83, pp. 268- 277, 2016. doi:10.1016/j.patrec.2016.03.021
    12. Debaditya Roy, M. Srinivas, and C. Krishna Mohan, "Sparsity-inducing dictionaries for effective action classification," Pattern Recognition (Elsevier), vol. 59, pp. 55-62, 2016. doi:10.1016/j.patcog.2016.03.011 [PDF]
    13. Earnest Paul Ijjina and C. Krishna Mohan, "Human action recognition using genetic algorithms and convolutional neural networks," Pattern Recognition (Elsevier), vol. 59, pp. 199-212, 2016 doi: 10.1016/j.patcog.2016.01.012
    14. Earnest Paul Ijjina and C. Krishna Mohan, "Hybrid deep neural network model for human action recognition," Applied Soft Computing (Elsevier), vol. 46, pp. 936-952, 2016. doi: 10.1016/j.asoc.2015.08.025
    15. M. Srinivas, R. Ramu Naidu, C.S. Sastry, and C. Krishna Mohan, "Content based medical image retrieval using dictionary learning," Neurocomputing (Elsevier), vol. 168, Pages 880-895, November 2015. doi: 10.1016/j.neucom.2015.05.036
    16. M. Srinivas, Tony Basil, and C. Krishna Mohan, "Adaptive learning based heartbeat Classification," Bio-Medical Materials and Engineering, vol. 26, no. 1, pp. 49-55, Oct. 2015. doi: 10.3233/BME-151552
    17. N. Pattabhi Ramaiah and C. Krishna Mohan, "Iris classification based on sparse representations using online dictionary learning for large-scale de-duplication applications," SpringerPlus, vol. 4, no. 1, pp.238, May 2015. doi: 10.1186/s40064-015-0971-1
    18. C. Krishna Mohan and B. Yegnanarayana, "Classification of sport videos using edge-Based features and autoassociative neural network models," Signal, Image and Video Processing (Springer), vol. 4, no. 1, pp. 61-73, Dec. 2008. doi: 10.1007/s11760-008-0097-9

    International Conferences

    1. Debaditya Roy, K Naveen Kumar, C. Krishna Mohan, "Defining Traffic States using Spatio-Temporal Traffic Graphs," accepted in IEEE Intelligent Transport Systems Conference (ITSC), 2020
    2. Dinesh Singh, C. Vishnu, C. Krishna Mohan, "Real-Time Detection of Motorcyclist without Helmet using Cascade of CNNs on Edge-device," accepted in. IEEE Intelligent Transport Systems Conference (ITSC), 2020
    3. Nandan Kumar Jha, Rajat Kumar Saini, Bedant Das, Sparsh Mittal, C Krishna Mohan, "ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks," in Proc. IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 1627-1636, 2020
    4. Nazil Perveen and C. Krishna Mohan, "Configural representation of facial action units for spontaneous facial expression recognition in the wild," Accepted in 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), 2020
    5. Nazil Perveen, C. Krishna Mohan, and Yen. Wei Chen, "Quantitative Analysis of Facial Paralysis Using GMM and Dynamic Kernels," Accepted in 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), 2020
    6. Debaditya Roy, Tetsuhiro Ishizaka, C. Krishna Mohan, and Atsushi Fukuda, "Vehicle Trajectory Prediction at Intersections using Interaction based Generative Adversarial Networks," IEEE Intelligent Transportation Systems Conference (ITSC), Auckland, New Zealand, pp. 2318-2323. doi: 10.1109/ITSC.2019.8916927 2019 [PDF]
    7. Dinesh Singh and C. Krishna Mohan, "Projection-SVM: Distributed Kernel Support Vector Machine for Big Data using Subspace Partitioning," IEEE International Conference on Big Data (Big Data), Seattle, WA, USA, pp. 74-83. doi: 10.1109/BigData.2018.8622478, 2018 [PDF]
    8. Dinesh Singh, Abhijeet Bhure,  Sumit Mamtani and C. Krishna Mohan, "Fast-BoW: Scaling Bag-of-Visual-Words Generation," British Machine Vision Conference (BMVC), p.287, Sep 3-6, 2018 [PDF]
    9. Debaditya Roy, C. Krishna Mohan, and K. Sri Rama Murty, "Action recognition based on discriminative embedding of actions using Siamese networks," 2018 IEEE International Conference on Image Processing (ICIP), Athens, Greece. Oct. 7-10, 2018 [PDF]
    10. C. Vishnu, Dinesh Singh, C. Krishna Mohan and Ch. Sobhan Babu, "Detection of Motorcyclists without Helmet in Videos using Convolutional Neural Network," Proc. IEEE International Joint Conference on Neural Network (IJCNN), Anchorage, Alaska, USA, pp. 3036-3041, May 14–19, 2017 [PDF]
    11. Debaditya Roy, K. Sri Rama Murty and C. Krishna Mohan, "Action-vectors: Unsupervised Movement Modelling for Action Recognition," IEEE International Conference on Acoustics, Speech, and Signal Processing, (ICASSP), New Orleans, USA, pp. 1602-1606, March 05-09, 2017
    12. Dinesh Singh, C. Vishnu, and C. Krishna Mohan, "Visual Big Data Analytics for Traffic Monitoring in Smart City", IEEE International Conference on Machine Learning and Applications (ICMLA), Anaheim, California, USA, pp. 886-891, Dec. 18-20, 2016 [PDF]
    13. Nazil Perveen, Dinesh Singh and C. Krishna Mohan, "Spontaneous Facial Expression Recognition: A Part Based Approach," IEEE International Conference on Machine Learning and Applications (ICMLA), Anaheim, California, USA, pp. 819-824, Dec. 18-20, 2016 [PDF]
    14. Dinesh Singh and C. Krishna Mohan, "Distributed Quadratic Programming Solver for Kernel SVM using Genetic Algorithm," IEEE Congress on Evolutionary Computation (IEEE CEC), Vancouver, Canada, pp. 152-159, July 24-29, 2016 [PDF]
    15. Kunal Dahiya, Dinesh Singh and C. Krishna Mohan, "Automatic Detection of Bike-riders without Helmet using Surveillance Videos in Real-time," International Joint Conference on Neural Networks (IJCNN), Vancouver, Canada, pp. 3046-3051, July 24-29, 2016 [PDF]
    16. M. Srinivas, Debaditya Roy and C. Krishna Mohan, "Discriminative feature extraction of X-ray images using deep convolutional neural networks," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, pp. 917-921, March 20-25, 2016 doi: 10.1109/ICASSP.2016.7471809 [PDF]
    17. M. Srinivas and C. Krishna Mohan, "Classification of medical images using edge based features and sparse representation," IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Shanghai, China, pp. 912-916, March 20-25, 2016. doi: 10.1109/ICASSP.2016.7471808
    18. A Tirupathi Rao, N. Pattabhi Ramaiah and C. Krishna Mohan, "Nearest neighbor minutia quadruplets based fingerprint matching with reduced time and space complexity," IEEE International Conference on Machine Learning and Applications (ICMLA), Miami, Florida, pp. 378-381, Dec. 2015. doi: 10.1109/ICMLA.2015.124
    19. M. Srinivas and C. Krishna Mohan, "Multi-level classification: A generic classification method for medical data sets," IEEE International Conference on E-health Networking, Application   Services (Healthcom), Boston, USA, pp. 262-267, Oct 2015. doi: 10.1109/HealthCom.2015.7454509
    20. N. Pattabhi Ramaiah, N. Srilatha, C. Krishna Mohan, "Sparsity-based iris classification using iris fiber structures," IEEE International Conference of Biometrics Special Interest Group (BIOSIG), Darmstadt, Germany, pp. 1-4, Sept. 2015. doi: 10.1109/BIOSIG.2015.7314621
    21. Debaditya Roy, K. Murty, and C. Krishna Mohan, "Feature selection using deep neural networks," IEEE International Joint Conference on Neural Networks (IJCNN), Tempe, Miami, USA, pp. 1-6, July 2015. doi: 0.1109/IJCNN.2015.7280626 [PDF]
    22. M. Srinivas, R. Bharath, Pachamuthu Rajalakshmi and C. Krishna Mohan, "Sparseland model for speckle suppression of B-mode ultrasound images," IEEE National Conference on Communication (NCC), IIT Bombay, India, pp. 1-6, Mar. 2015. doi: 10.1109/NCC.2015.7084842
    23. Debaditya Roy, M. Srinivas, and C. Krishna Mohan, "Sparsifying dense features for action classification," ACM International Conference on Perception and Machine Intelligence (PerMIn), ISI Kolkata, India, pp. 211-217, Feb. 2015. doi: 10.1145/2708463.2709047
    24. 13. N. Pattabhi Ramaiah, Earnest Paul Ijjina, C. Krishna Mohan, "Illumination invariant face recognition using convolutional neural networks," IEEE International Conference on Signal Processing, Informatics, Communication and Energy Systems (SPICES), Calicut, India, pp. 1-4, Feb. 2015. doi: 10.1109/SPICES.2015.7091490
    25. Earnest Paul Ijjina, and C. Krishna Mohan, "Human action recognition based on motion capture information using fuzzy convolution neural networks," IEEE International Conference on Advances in Pattern Recognition (ICAPR), ISI Kolkata, India, pp. 1-6, Jan. 2015. doi: 10.1109/ICAPR.2015.7050706
    26. Earnest Paul Ijjina and C. Krishna Mohan, "Facial expression recognition using kinect depth sensor and convolutional neural networks," IEEE International Conference on Machine Learning and Applications (ICMLA),, Detroit, USA, pp. 392-396, Dec. 2014. doi: 10.1109/ICMLA.2014.70
    27. Earnest Paul Ijjina and C. Krishna Mohan, "One-shot periodic activity recognition using convolutional neural networks," IEEE International Conference on Machine Learning and Applications (ICMLA), Detroit, USA, pp. 388-391, Dec. 2014. doi: 10.1109/ICMLA.2014.69
    28. Earnest Paul Ijjina and C. Krishna Mohan, "Human action recognition based on recognition of linear patterns in action bank features using convolutional neural networks," IEEE International Conference on Machine Learning and Applications (ICMLA), Detroit, USA, pp. 178-182, Dec. 2014. doi: 10.1109/ICMLA.2014.33
    29. Earnest Paul Ijjina and C. Krishna Mohan, "Human action recognition based on MOCAP information using convolution neural networks," IEEE International Conference on Machine Learning and Applications (ICMLA), Detroit, USA, pp. 159-164, Dec. 2014. doi: 10.1109/ICMLA.2014.30
    30. Earnest Paul Ijjina and C. Krishna Mohan, "View and illumination invariant object classification based on 3D color histogram using convolutional neural networks," IEEE 12th Asian Conference on Computer Vision (ACCV), Workshops, Singapore, pp. 316-327, Nov. 2014. doi: 10.1007/978-3-319-16628-5_23
    31. Earnest Paul Ijjina and C. Krishna Mohan, "Human action recognition using action bank features and convolutional neural networks," IEEE 12th Asian Conference on Computer Vision (ACCV), Workshops, Singapore, pp. 328-339, Nov. 2014. doi: 10.1007/978-3-319-16628-5_24
    32. N. Pattabhi Ramaiah and C. Krishna Mohan, "Enhancements to latent fingerprints in forensic applications," 19th IEEE International Conference on Digital Signal Processing (DSP), Hong Kong, pp. 439-443, Aug. 2014. doi: 10.1109/ICDSP.2014.6900702
    33. M. Srinivas, Debaditya Roy, and C. Krishna Mohan, "Learning sparse dictionaries for music and speech classification," 19th IEEE International Conference on Digital Signal Processing (DSP), Hong Kong, pp. 673-675, Aug. 2014. doi: 10.1109/ICDSP.2014.6900749
    34. M. Srinivas and C. Krishna Mohan, "Medical images modality classification using multi-scale dictionary learning," 19th IEEE International Conference on Digital Signal Processing (DSP), Hong Kong, pp. 621-625, Aug. 2014. doi: 10.1109/ICDSP.2014.6900739
    35. Shyju Wilson, M. Srinivas and C. Krishna Mohan, "Dictionary based action video classification with action bank," 19th IEEE International Conference on Digital Signal Processing (DSP), Hong Kong, pp. 597-600, Aug. 2014. doi: 10.1109/ICDSP.2014.6900734
    36. M. Srinivas, Debaditya Roy, and C. Krishna Mohan, "Music genre classification using On-line dictionary learning," IEEE International Joint Conference on Neural Networks (IJCNN), Arlington, USA, pp. 1937-1941, July 2014. doi: 0.1109/IJCNN.2014.6889516 [PDF]
    37. N. Pattabhi Ramaiah and C. Krishna Mohan, "De-duplication Complexity of Fingerprint Data in Large-scale Applications," Journal of Electronic Science and Technology, (JEST), vol.12, no.2 pp. 1-5, June 2014
    38. A. Tirupathi Rao, N. Pattabhi Ramaiah and C. Krishna Mohan, "Fingerprint Recognition on Various Authentication Sensors," Journal of Electronic Science and Technology, (JEST), vol.12, no.1, pp. 139-143, March 2014
    39. A. Tirupathi Rao, N. Pattabhi Ramaiah, Ahmed Babu I.A.S, and C. Krishna Mohan, "Biometrics in e-governance and academia using hand-held fingerprint terminals," Elsevier International Conference on Advances in Communication, Network, and Computing (CNC), Chennai, India, pp. 653-658, Feb. 2014
    40. N. Pattabhi Ramaiah, and C. Krishna Mohan, "De-noising slap fingerprint images for accurate slap fingerprint segmentation," IEEE International Conference on Machine Learning and Applications and Workshops (ICMLA), vol. 1, Honolulu, Hawaii, pp. 208-211, Dec. 2011. doi: 10.1109/ICMLA.2011.52
    41. N. Pattabhi Ramaiah, and C. Krishna Mohan, "ROI-based tissue type extraction and volume estimation in 3D brain anatomy," International Conference on Image Information Processing (ICIIP), Shimla, India, pp. 1-5, Nov. 2011. doi: 10.1109/ICIIP.2011.6108941
    42. N. Pattabhi Ramaiah, and C. Krishna Mohan, "De-duplication of photograph images using histogram refinement," IEEE Recent Advances in Intelligent Computational Systems (RAICS), Trivandrum, India, pp. 391-395, Sep. 2011. doi: 10.1109/RAICS.2011.6069341
    43. M. Srinivas, and C. Krishna Mohan, "Efficient clustering approach using incremental and hierarchical clustering methods," International Joint Conference Joint on Neural Networks (IJCNN), Barcelona, Spain, pp. 1-7, July 2010. doi: 10.1109/IJCNN.2010.5596666
    44. C. Krishna Mohan, N. Dhananjaya, and B. Yegnanarayana, "Video shot segmentation using late fusion techniques," International Conference on Machine Learning and Applications (ICMLA), San Diego, USA, pp. 267-270, Dec. 2008. doi: 10.1109/ICMLA.2008.88
    45. C. Krishna Mohan and B. Yegnanarayana, "Edge-based classification of sports videos using HMM," Indian International Conference on Artificial Intelligence (IICAI), Pune, India, pp. 559-564, Dec. 2007
    46. C. Krishna Mohan, Suryakanth V. Gangashetty, and B.Yegnanarayana, "Categorization of sports videos using SVMs," International Conference on Cognitive and Neural Systems (ICCNS), Boston, USA, pp. 47, May 2007
    47. C. Krishna Mohan, N. Dhananjaya, Suryakanth V. Gangashetty, and B.Yegnanarayana, "Sports video classification using autoassociative neural network models," International Conference on cognitive and neural systems (ICCNS), Boston, USA, pp. 30, May 2006
    48. Vakkalanka Suresh, C. Krishna Mohan, R. Kumara Swamy, and B. Yegnanarayana, "Combining multiple evidence for video classification," IEEE International Conference on Intelligent Sensing and Information Processing (ICISIP), Bangalore, Dec 2005. doi: 10.1109/ICISIP.2005.1529446
    49. Vakkalanka Suresh, C. Krishna Mohan, R. Kumara Swamy, and B. Yegnanarayana, "Content-based video classification using support vector machines," Interntational Conference on Neural Information Processing (ICONIP), Calcutta, India, pp. 726-731, Nov. 2004. doi: 10.1007/978-3-540-30499-9_111

    -<<< Projects >>>-



    Projects - Ongoing


     

    M2Smart : Smart Cities for Emerging Countries Based on Sensing,
    Network, and Big Data Analysis of Multimodal Regional Transport System
    Duration : 5 years
            

    Vehicle Detection
    Vehicle Counting
    Vehicle Segmentation
    Vehicle Tracking
    Vehicle Detection on Hyderabad Traffic
    Smart Parking System

     

    OPPO Mobile Edge Computing : Optimized Video Bokeh and Image Deduplication

    Image Deduplication
    Video Bukeh

     

    AI based Weather Forecasting using Live Camera, Radar and Satellite Data,
    Weathernews Inc. Chiba, Japan

    Precipitation Nowcast
    Road Scene Analysis
    Cloud Classification Timeline
    segmentation Cloud Classification and Detection
    segmentation Cloud Representation
    Volcanic Ash Detection
    Road Segmentation

     

    Deity - Meity (MHRD) : Design and Development of Facial Paralysis
    Quantitative Analysis Model for Clinical Assessment
                         


     

    Content Driven Advertisement Placement and Insertion                                 

    Complex Action Inference
    Action Localization
    Video Description
    Video Understanding
    Action Localization

     

    Semantic Description of Video Activities                                 

    couting

     

    Vulnerable Road User Detection in Autonomous Vehicle Technology
    Livewire Technologies, Bangalore


    couting

     

    Industrial Application of Anamoly Detection in Fine Grained Actions
    Cogknit, Bangalore
                                    




    Projects - Completed


     

    Real-time Aerial Tracker on Embedded Hardware
    Deployed on Ballistic Systems
    Research Center Imarat (RCI), DRDO, Hyderabad
                                                          

    couting Multi-stage Aerial Tracking
    Tracking Results
    Tracking Results
    Tracking Results

     

    Transportation Flow Modeling and Visualization for Disaster
    Management Applications
    ANURAG, DRDO, Hyderabad
                                         


     

    Autonomous Vehicle Technology                                  


    Segmentation of VRU
    Depth Estimation
    couting Collision Prediction
    Road Scene Analysis
    Multi-Vehicular Tracking
    Road Segmentation


    -<<< Experience >>>-

    Academic Experience


    S No.
    Designation Institute Start Date End Date
    1.
    Professor IIT Hyderabad Sep 04, 2018 Till Date
    2.
    Associate Professor IIT Hyderabad July 16, 2014 Sep 03, 2018
    3.
    Assistant Professor IIT Hyderabad Nov 04, 2009 July 15, 2016
    4.
    Associate Professor NIT Surathkal Oct 30, 2006 Nov 03, 2009
    5.
    Selection Grade Lecturer NIT Surathkal Oct 30, 2003 Oct 29, 2006
    6.
    Senior Lecturer NIT Surathkal Oct 30, 1998 Oct 29, 2003
    7.
    Lecturer NIT Surathkal Sep 04, 1992 Oct 29, 1998
    8.
    Programmer NIT Surathkal Sep 04, 1991 Sep 03, 1992

    Administrative Experience


    S No.
    Designation Institute Start Date End Date
    1.
    Board of Governors (BOG) IIT Hyderabad June 3, 2020 Dec 31, 2021
    2.
    Dean (Public and Corporate Relations) IIT Hyderabad Jan 03,2020 Till date
    3.
    Head - Dept. of Computer Sci. & Engg. IIT Hyderabad May 11, 2011 Oct 31, 2014
    4.
    Associate Head - Dept. of Computer Sci. & Engg. IIT Hyderabad Apr 27, 2010 May 10, 2011
    5.
    Senate Member IIT Hyderabad Nov, 2010 Till date
    6.
    Senate Member IIT Tirupati Sep 9, 2019 Aug, 2021
    7.
    Senate Member IIITDM Kurnool May 19, 2019 May 18, 2021
    8.
    Chairman, Faculty & Staff Grievance Committee IIT Hyderabad Sep 23, 2019 Till date

    -<<< Services >>>-

    Professional Bodies


    Journal Reviewer

    • IEEE Transactions : Image Processing, Multimedia, Big Data, Intelligent Transport Systems, Signal Processing Letters
    • Elsevier : Pattern Recognition, Pattern Recognition Letters, Neuro Computing
    • Springer : Signal, Image and Video Processing


    Awards / Recognitions

    • Recipient of Excellence in Teaching Award, in recognition of distinguished teaching in the year 2018 at IIT Hyderabad
    • Certification of recognition from DRDO RCI Director
    • Certification of recognition from DRDO ANURAG Director
    • Mr. Earnest Paul Ijjina, PhD Student has won First Prize at the 6th IDRBT Doctoral Colloquium (held during Dec 8-9, 2016) for his work on "Human Action Recognition Using Deep Learning". First prize carries a prize money of Rs 1.5 Lakh along with a certificate
    • Mr. Dinesh Singh, PhD Student has won First Prize at the 8th IDRBT Doctoral Colloquium (held during Dec 7, 2018) for his work on "Graph formulation of video activities for abnormal activity recognition". First prize carries a prize money of 1 Lakh INR along with a certificate


    Organising Committees

    • Member, Local Organizing Committee, International Conference “Interspeech 2018” held during September 2-6, 2018 at Hyderabad International Convention Centre (HICC) Hyderabad
    • Coordinator, one-week TEQIP workshop on “Deep Learning for Visual Computing (WDLVC)” held during 20-25 June 2016 at IIT Hyderabad
    • Coordinator, Two Days workshop on “Neural Networks and Deep Learning” held during 20-21 January 2016 at BHEL HRD & ATE (Corporate R & D), Hyderabad
    • Coordinator, one week MHRD sponsored short term training programme on “Signal, Image and Speech Processing” held during 8-13 September, 2008 at NITK Surathkal



    Institution-Building

    • Involved in various academic activities like designing fractal curriculum for the CSE department
    • Delivered several invited talks in various institutions, conferences, and workshops
    • Served as TPC member for several conferences
    • Established CSE Dept. teaching and research labs
    • Established Visual Intelligence and Learning Group (VIGIL) at IIT Hyderabad
    • Central Assistant Public Information Officer (> 3 Years) Nov 8, 2012 - Mar 29, 2016
    • Central Public Information Officer (> 1 Year) Mar 30, 2016 – Till date
    • Established three NKN-virtual classrooms as the IITH Nodal officer
    • Involved in outreach initiatives through TEQIP, CSE Dept open day, BoS activities, workshops for schools


    Governing Body / Academic Council


    S No.
    Designation Institute Start Date End Date
    1.
    Member - Academic Council AITAM Tekkali July 2013 Dec 2015
    2.
    Member - Governing Body BVRIT Hyderabad July 2015 Till date
    3.
    Member - Governing Body AITAM Tekkali July 2016 Till date

    Board of Studies (BOS) Member


    S No.
    Institute Start Date End Date
    1.
    JNTU Hyderabad June 2012 June 2019
    2.
    JNTU Anantapur June 2013 June 2016
    3.
    JNTU Kakinada June 2012 Till Date
    4.
    VNRVJIET Hyderabad July 2011 Till Date
    5.
    Vardhaman College of Engg. Hyderabad Aug 2014 Till Date
    6.
    Anurag Group of Institutions, Hyderabad May 2016 Till Date
    7.
    JBIET Hyderabad June 2015 Till Date
    8.
    MRCE Hyderabad Oct 2011 Till Date
    9.
    MRCE Hyderabad Oct 2011 Till Date
    10.
    RVR & JC College of Engg. Guntur Oct 2015 Till Date
    11.
    VJIT Hyderabad June 2017 June 2019
    12.
    SJCE Mysore Aug 2012 Till Date
    13.
    NEC Kovilpatti Oct 2019 Till Date
    14.
    PDA Engg. College, Gulbarga, Karnataka Oct 2019 Till Date