• Dr. C Krishna Mohan


    Professor, Dept. of CSE

    Dean (Public and Corporate Relations)

    Room No. 103, Block - A

    Indian Institute of Technology Hyderabad

    Kandi, Sangareddy - 502285, Telangana (State), India.

    Dr. C. Krishna Mohan is currently Professor of Computer Science and Engineering Department and Dean of Public and Corporate Relations at Indian Institute of Technology Hyderabad (IIT Hyderabad), India. He is 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. Prior to joining to IIT Hyderabad, he was a senior faculty at National Institute of Technology Karnataka, Surathkal (NITK Surathkal) from 1992-2009. He received his M.Tech from National Institute of Technology Karnataka, Surathkal (NITK Surathkal) and Ph.D from Indian Institute of Technology Madras (IIT Madras). His research interests are in video content analysis, computer vision, machine learning, deep learning. He has published several papers in these areas in international journals. He has also presented several papers at national and international conferences.


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    • Phone
    • Fax
    • Skype
    • Email
    • Website
    • +91 - 94917 12312 (Mobile), 040- 2301 6021(Off)
    • +91 – 40 – 2301 6003
    • chalavadikm
    • ckm [at] iith.ac.in
    • www.iith.ac.in/~ckm/

    Educational Qualifications

    • PhD in Computer Science & Engineering (2007) - Indian Institute of Technology Madras, Chennai

    • MTech in Systems Analysis and Computer Applications (2000) - National Institute of Technology Surathkal

    Awards

    1. Recipient of Excellence in Teaching Award, in recognition of distinguished teaching in the year 2018 at IIT Hyderabad.

    2. Won first prize at the 6th IDRBT Doctoral Colloquium (held during Dec 8-9, 2016) for the work on Human Action Recognition Using Deep Learning by Mr. Earnest Paul Ijjina (PhD Student). First prize carries a prize money of Rs 1.5 Lakh along with a certificate

    3. Won first prize at the 8th IDRBT Doctoral Colloquium (held during Dec 7, 2018) for the work on Graph formulation of video activities for abnormal activity recognition by Mr. Dinesh Singh (PhD Student). First prize carries a prize money of 1 Lakh INR along with a certificate.

    Experience

    Academic Expereince


    1. Professor - IIT Hyderabad, Sep 04, 2018 - Till date 

    2. Associate Professor - IIT Hyderabad, July 16, 2014 - Sep 03, 2018 ( >4 years )

    3. Assistant Professor - IIT Hyderabad, Nov 04, 2009 - July 15, 2014 ( >4 years )

    4. Associate Professor - NIT Surathkal, Oct 30, 2006 - Nov 03, 2009 ( >3 years )

    5. Selection Grade Lecturer - NIT Surathkal, Oct 30, 2003 - Oct 29, 2006 (3 years)

    6. Senior Lecturer - NIT Surathkal, Oct 30, 1998 - Oct 29, 2003 (5 years)

    7. Lecturer - NIT Surathkal, Sep 04, 1992 - Oct 29, 1998 ( >6 years )

    8. Programmer - NIT Surathkal, Sep 11, 1991 - Sep 03, 1992 ( 1 year )

    Administrative Expereince


    1. Dean (Public and Corporate Relations) - IITH, Jan 03, 2020 - Till date 

    2. Headed the Computer science and engineering Department, IITH for more than 4 years as :

      • Associate Head  -  May 11, 2011 - Oct 31, 2014 ( >3 years)
      • Head                  -  Apr 27, 2010 - May 10, 2011 ( >1 year )

    3. CSE Dept. External Review : Highly positive rating for faculty and publication quality

    4. Senate Member Nov. 2010 - Till date

    5. Involved in various academic activities like designing fractal curriculum for the CSE department

    6. Delivered several invited talks in various institutions, conferences and workshops

    7. Served as TPC member for several conferences

    8. Established CSE Dept. teaching and research labs

    9. Established Visual Intelligence and Learning Group ( VIGIL ) at IIT Hyderabad

    10. Central Assistant Public Information Officer ( >3 years ) Nov 8, 2012 - Mar 29, 2016

    11. Central Public Information Officer Mar 30, 2016 – Till date

    12. Established three NKN-virtual classrooms as the IITH Nodal officer

    13. Involved in outreach initiatives through TEQIP, CSE Dept open day, BoS activities, workshops for schools.

    Publications

    Patents


    1. C. Krishna Mohan, Dinesh Singh, C. Vishnu, and Debaditya Roy. "Method and system for detection of accident in traffic surveillance video", Indian Complete Patent Application no. 201841003604, Jan. 31, 2018

    2. Debaditya Roy, Dinesh Singh, C. Vishnu, and C. Krishna Mohan. "A method and system for detection of crime events in surveillance videos", Indian Complete Patent Application no. 201741041239, Nov. 1, 2017

    3. C. Krishna Mohan, Dinesh Singh, C. Vishnu, and Debaditya Roy. "A method and system for real time detection of traffic violation by two-wheeled riders", Indian Complete Patent Application no. 201741038813, Nov. 17, 2017

    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. 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]

    2. 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]

    3. 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]

    4. 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]

    5. 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

    6. 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

    7. 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

    8. 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]

    9. 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]

    10. 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

    11. 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]

    12. 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

    13. 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

    14. 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

    15. 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

    16. 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

    17. 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. Nandan Kumar Jha, Rajat Kumar Saini, Bedant Das, Sparsh Mittal, C Krishna Mohan, "ULSAM: Ultra-Lightweight Subspace Attention Module for Compact Convolutional Neural Networks," Accepted in IEEE Winter Conference on Applications of Computer Vision (WACV), 2020

    2. 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

    3. 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

    4. 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]

    5. 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]

    6. 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]

    7. 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]

    8. 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]

    9. 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]

    10. 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

    11. 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]

    12. 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]

    13. 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]

    14. 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]

    15. 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]

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    Research

    Areas


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


        - Surveillance video analytics

        - Human action recognition using deep learning

        - Representation learning for action recognition

        - Fine-grained action recognition

        - Scalable and distributed methods for large scale visual computing

        - Spontaneous facial expression recognition

        - Fingerprint and palmprint recognition

        - Muiltimodal biometrics for de-duplication of person's identity

        - Medical data classification using dictionary learning

        - Remote imagery analysis on satellite and radar data

        - Geospatial image analysis



    Supervision


    PhD - Graduated


    1. Dinesh Singh [Website] (2018)
        Thesis title : Scalable and Distributed methods for                             Large Scale Visual Computing.
        Current Affiliation : Post-doctoral researcher AIP,                                        Riken, Japan

    2. Debaditya Roy [Website] (2018)
        Thesis title : Representation Learning For Action                          Recognition.
        Current Affiliation : Post-doctoral researcher                                       Nihon University, Japan

    3. Shyju Wilson [Website] (2018)
        Thesis title : Design of Compact and Discriminative IIIT Guwahati

    4. Earnest Paul Ijjina [Website] (2017)
        Thesis title : Efficient Approaches for Human Action                             Recognition Using Deep Learning.
        Current Affiliation : Assistant Professor NIT Warangal

    5. Avula Tirupathi rao [Website] (2016)
        Thesis title : Efficient Approaches for Fingerprint and Palmprint                            Recognition.
        Current Affiliation : Researcher - Reliance Jio                                       Infocomunications Ltd.

    6. N. Pattabhi Ramaiah [Website] (2015)
        Thesis title : De-duplication of Person’s Identity                             Using Multimodal Biometrics.

        Current Affiliation : Research Engineer (Biometrics) Canny Quest International                                       Fz LLC, Dubai

    7. Mettu Srinivas [Website] (2014)
        Thesis title : Classification of Medical Data Based on                             Sparse Representation Using Dictionary Learning.
        Current Affiliation : Assistant Professor NIT Warangal

    PhD - Ongoing


    1. Nazil Perveen [Website]
        Research Area : Spontaneous Facial Expression                                  Recognition

    2. C. Nagaraju
        Research Area : Scalable Machine learning

    3. Prudhviraj Jeripothula
        Research Area : Surveillance Video Analysis

    4. Rajesh Reddy
        Research Area : Remote Imagery Analysis

    5. Rasna Azeez
        Research Area : Geospatial Image Analysis

    6. Y. Sravani [Website]
        Research Area : Fine-grained action recognition

    7. Suresh Samudrala
        Research Area : 3D point cloud data analysis using deep learning

    8. D. Rambabu
        Research Area : Brain encoding using FMRI images

    9. K. Naveen Kumar [Website]
        Research Area : Scene perception and path planning in Autonomous     Vehicle Technology














































    MTechs - Graduated


    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 Background Segmentation

    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) - Intermediate Matching Kernel of Variable length Pattern Matching for 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



    MTechs - Ongoing


    1. G Sree Datta Sanjay Bharath - 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

    Projects




    M2Smart - Smart Cities for Emerging Countries Based on Sensing, Network, and Big Data Analysis of Multimodal Regional Transport System (M2Smart) funded by JICA/JST SATREPS


    Demos


    couting Vehicle detection
    segmentation Vehicle counting
    detection Vehicle segmentation
    detection Vehicle detection on Hyderabad traffic data, India



    Deep Learning Architectures for Aerial Tracking on Embedded Hardware


    Demos


    detection Tracking Results of MDNet (RCI supplied videos)



    Aerial view vehicle detection using drone data


    Demos


    detection Aerial view vehicle detection



    Detection of traffic violators in collaboration with Hyderabad Traffic Police, India


    Demos


    couting Helmet-less motorcyclist detection in Indian scenes (demo-1)
    couting Helmet-less motorcyclist detection in Indian scenes (demo-2)
    couting Helmet-less motorcyclist detection in Indian scenes (demo-3)
    couting Helmet-less motorcyclist detection in Indian scenes (demo-4)
    couting Web interface for Helmet-less motorcyclist detection in Indian scenes



    Accident detection in collaboration with Hyderabad Traffic Police


    Demos


    couting Accident detection on different illumination conditions
    segmentation Accident detection on various camera perspectives



    Person Re-identification in Video Surveillance


    Demos


    couting Indian processions
    couting Re-identification of anti-societal actors in Indian processions



    Snatch theft event detection using action vectors


    Demos


    couting
    couting
    couting
    couting



    Deity-Meity (MHRD) - Design and development of Facial paralysis quantitative analysis model using computer vision and machine learning tools for clinical assessment


    Demos


    couting
    segmentation



    Spontaneous facial expression recognition


    Demos


    segmentation UAM Modelling with expression vector



    Classification of human actions using pose-based features and stacked auto encoder


    Demos


    couting Bending - Front and Side view
    segmentation Sit-down - Front and Side view
    segmentation Punching - Front and Side view



    Pot hole detection


    Demos


    couting Pot hole detection



    Video Recommendation System





    Human blood cell detection, classification and counting


    couting Blood cell detection (1)
    couting Blood cell detection (2)
    couting Blood cell detection (3)

    Gallery