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 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. He 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 Senior Member of IEEE, Member of ACM, AAAI Member, Life Member of ISTE, Fellow of IEI, IETE, and TAS.

-<<< RESEARCH >>>-

Research Areas

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
Read more

Research Supervision

  • PhDs Graduated - 11    PhDs Ongoing - 5

PhD Alumni

1.

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


2.

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


3.

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


4.

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


5.

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


6.

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


7.

Dinesh Singh {Website} 2018

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


8.

Nazil Perveen {Website} 2020

Area of Research : Facial Expression Recognition

Thesis Title : Learning Representations For Spontaneous Facial Expression Recognition

Current Affiliation : Research Associate, Manchester University, United Kingdom


9.

Rajesh Reddy Datla 2021

Area of Research : Remote Imagery Analysis

Thesis Title : Representations for scene classification and segmentation in remote sensing imagery

Current Affiliation : Scientist/Engineer-'SE' , Advanced Data Processing Research Institute (ADRIN), Dept.of Space, Govt.of India


10.

Subhrajit Nag 2022

Area of Research : Light-weight DNNs

Thesis Title : Efficient Deep Learning Models for Real-World Visual Computing Applications


11.

Prudhviraj Jeripothula 2022

Area of Research : Semantic Description of Video Activities

Thesis Title : Towards Effective Visual-Textual Representation for Vision to Language Tasks

PhDs Ongoing


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


K. Naveen Kumar {Website}

Area of Research : Adversarial Federated Learning for Autonomous Vehicle Technology

Funded by : M2Smart Project


Peketi Divya

Area of Research : Biomedical Image Analysis using Federated Learning

Funded by : MoE


Udaya Kumar Ambati

Area of Research : Domain Adaptation in Medical Image Analysis

Funded by : QIP

  • MTechs Graduated - 33    MTechs Ongoing - 8

MTechs Graduated

S No.
Name of the Student Thesis Title
1.
Abhijith Girin N V (3 year) (2021) Fetal Heart Segmentation and Video Summarization
2.
Challapalli Phanindra Revanth (2020) Object Detection on aerial imagery
3.
Akhil Kumar Reddy Bhavanam (2020) Few-shot object detection via fine tuning
4.
Vinay Prakash (2020) Few-shot object detection via fine tuning
5.
Amey Nitin Bahulkar (2020) Adversarial attacks on autonomous vehicles
6.
Sreeragh A R (2020) Improvements to semantic segmentation
7.
Malipatel Indrakaran Reddy (2020) Attention guided compositional action recognition
8.
Shri Vinayaka Pandi Nataraja Karayalar (2020) A comparative study of various techniques for image from text
9.
Raman Kishore (2020) Attention based temporal modeling techniques for action recognition
10.
GSD Sanjay Bharat (3 year) (2020) Multi Object Tracking And Segmentation In Surveillance Videos
11.
Abhinav Singh (2020) Multi-scale Attention for Person Re-Identification
12.
Vishal Kumar (2020) Semantic Segmentation Using Triplet Feature Network
13.
Sachin Goyal (2020) Real-Time and online Multiple Object Tracking
14.
Bedanta Das (2019) Action Localization in Videos
15.
Guguloth Suresh (2017) Reducing Convergence Time of Data-Parallel Approach for Distributed Neural Network
16.
Lokesh Janghel (2017) Investigation of Siamese CNN for Person Detection and Re-Identification
17.
Kunal Dahiya (2016) Detection of Abnormal Events in Surveillance Videos
18.
Vidhi Rani K (2016) Heirarchical Background Subtraction Algorithm for Foreground
19.
Kalla Srinivas (2015) Detection of Abnormal Events in Surveillance Videos
20.
E Harish (2015) Face Recognition from Real Time Videos Using Stacked Autoencoder
21.
Neeraj Kumar (2015) Content Based Image Retrieval for Big Visual Data
22.
Ch Sharath (2014) Matching Kernel for Variable Length Patterns of Human Activity Classification
23.
J Srikanth (2014) Scene Segmentation and Classification
24.
Tony Basil (2014) Features for Detection of Heart Arrhythmias
25.
K Jenni (2011) Content Based Image Retrieval by Preprocessing Image Database
26.
Uday Kumar (3 year) Computer Vision for Autonomous Vehicles
27.
Sai Harsha (3 year) Traffic Congestion Prediction
28.
Shivangi Parashar AI based Diagnosis of Liver Cancer
29.
Durvasula V K M Rishab Object Detection on 3D Point Cloud Data
30.
Anushka Joshi Computer Vision for Earth Science
31.
Pooja H Action Recognition
32.
Saurabh Joshi Multi Object Tracking In Military Surveillance Applications Using Computer Vision
33.
Ankit Chandra Object Detection on Remote Sensing Images

MTechs Ongoing

S No.
Name of the Student Thesis Title
1.
Vineel Abhinav (3 year) Multi-object Tracking
2.
Pradyumn Sharma (3 year) 3D Object Detection in Autonomous Vehicles using LIDAR Data
3.
Prasanna Kumar 3D Object Detection using Point Clouds
4.
Sashank Jerri Model Fusion in Federated Learning for Medical Image Segmentation
5.
Raguru Sai Sandeep Heterogenous Model Fusion in Federated Learning for Medical Analysis
6.
Jaya Mohan LiDar and Camera Fusion in Autonomous Vehicle
7.
Lakshmi Gayathri Gudipudi 3D Object Tracking using Point Clouds
8.
Anant Mittal 3D Object Detection



  • 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
  • Prof. Linga Reddy Cenkeramaddi, ACPS Group, UiA, Campus Grimstad, Norway.
  • Prof. Yen Wei Chen, College of Information Science and Engg., Ritsumeikan University, Japan

-<<< 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 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. Dhruv Makwana, Subhrajit Nag, Onkar Susladkar, Gayatri Deshmukh, Sai Chandra Teja R, Sparsh Mittal, C Krishna Mohan, "ACLNet: An Attention and Clustering-based Cloud Segmentation Network," Accepted in International Journal of Remote Sensing, 2022 [PDF]
  2. Prudviraj Jeripothula, Chalavadi Vishnu, C Krishna Mohan, "AAP-MIT: Attentive Atrous Pyramid Network and Memory Incorporated Transformer for Multi-Sentence Video Description," Accepted in IEEE Transactions on Image Processing, 2022 [PDF]
  3. Chalamala Srinivasa R., K Naveen Kumar, Singh Ajeet, Saibewar Aditya, and C Krishna Mohan, “Federated learning to comply with data protection regulations,” in CSI Transactions on ICT (Springer Nature), 2022 [PDF]
  4. Prudviraj Jeripothula, Chalavadi Vishnu and C Krishna Mohan, "M-FFN: Multi-Scale Feature Fusion Network for Image Captioning", in Applied Intelligence (Springer), 2022 [PDF]
  5. Chalavadi, Vishnu, Prudviraj Jeripothula, Rajeshreddy Datla, Sobhan Babu Ch. and C Krishna Mohan, "mSODANet: A Network for Multi-Scale Object Detection in Aerial Images using Hierarchical Dilated Convolutions"in Pattern Recognition (Elsevier), 2022 [PDF]
  6. Prudviraj Jeripothula, Yenduri Sravani, and C. Krishna Mohan. "Incorporating attentive multi-scale context information for image captioning",in Multimedia Tools and Applications (Springer), 2022 [PDF]
  7. Yenduri, Sravani, Nazil Perveen, Vishnu Chalavadi, and C. Krishna Mohan , "Fine-grained action recognition using dynamic kernels," Accepted in Pattern Recognition (Elsevier), 2021 [PDF]
  8. Chalavadi Vishnu, Rajeshreddy Datla, Debaditya Roy, Sobhan Babu, and C. Krishna Mohan, "Human Fall Detection in Surveillance Videos using Fall Motion Vector Modeling," in IEEE Sensors Journal, vol. 21, no. 15, pp. 17162-17170, 2021 [PDF]
  9. Deepak, K., Chandrakala, S. and C. Krishna Mohan, "Residual spatiotemporal autoencoder for unsupervised video anomaly detection," in Signal, Image and Video Processing, 15(1), pp.215-222, 2021 [PDF]
  10. Debaditya Roy, Tetsuhiro Ishizaka, C Krishna Mohan, Atsushi Fukuda, "Detection of Collision-Prone Vehicle Behavior at Intersections using Siamese Interaction LSTM," Accepted in IEEE Transactions on Intelligent Transportation Systems, 2020 [PDF]
  11. Rajeshreddy Datla, C Krishna Mohan, "A novel framework for seamless mosaic of Cartosat-1 DEM scenes," Computers & Geosciences (Elsevier), vol. 146, DOI: 10.1016/j.cageo.2020.104619, 2020 [PDF]
  12. Nazil Perveen, Debaditya Roy and C Krishna Mohan, "Facial Expression Recognition in Videos using Dynamic Kernels," IEEE Transactions on Image Processing, vol. 29, pp. 8316-8325, DOI: 10.1109/TIP.2020.3011846, 2020 [PDF]
  13. Inayathullah Ghori, & Debaditya Roy, Renu John, and C Krishna Mohan, "Echocardiogram Analysis using Motion Profile Modeling," IEEE Transactions on Medical Imaging, pp. 1-1. 10.1109/TMI.2019.2957290, 2019 [PDF]
  14. 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]
  15. 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]
  16. 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]
  17. 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]
  18. 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 [PDF]
  19. 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 [PDF]
  20. 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 [PDF]
  21. 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]
  22. 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]
  23. 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[PDF]
  24. 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]
  25. 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 [PDF]
  26. 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 [PDF]
  27. 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 [PDF]
  28. 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 [PDF]
  29. 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 [PDF]
  30. 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 [PDF]
  31. A. Tirupathi Rao, N. Pattabhi Ramaiah and C. Krishna Mohan, “Fingerprint Recognition on Various Authentication Sensors”, in Journal of Electronic Science and Technology, (JEST 2014), vol.12, no.1, pp. 139-143 [PDF]
  32. N. Pattabhi Ramaiah and C. Krishna Mohan, “De-duplication Complexity of Fingerprint Data in Large-scale Applications”, in Journal of Electronic Science and Technology, (JEST 2014), vol.12, no.2 pp. 1-5, Dec. 2014 [PDF]

Conferences

  1. Yenduri Sravani, C Vishnu, and C Krishna Mohan., "Fine-grained action recognition using attribute vectors," Accepted in 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), 2022 [PDF]
  2. Dandpati Kumar Bhargav, Sai Chandra Teja R, Sparsh Mittal, C Krishna Mohan and Biswabandan Panda, "Inferring DNN layer-types through a hardware performance counters based side channel attack," Accepted in AIMLSystems, 2021 [PDF]
  3. Subhrajit Nag, Yash Khandelwal, Sparsh Mittal, C Krishna Mohan, and A. Kai Qin., "ARCN: A Real-time Attention-based Network for Crowd Counting from Drone Images," Accepted in IEEE India Council International Conference (INDICON 2021). , 2021 [PDF]
  4. Rajeshreddy Datla, Chalavadi Vishnu, and C. Krishna Mohan. , "A multimodal semantic segmentation for airport runway delineation in panchromatic remote sensing images," Accepted in Int. Conf. on Machine Vision (ICMV 2021), 2021 [PDF]
  5. Rajeshreddy Datla, Chalavadi Vishnu, and C. Krishna Mohan. , "A framework to derive geospatial attributes for aircraft type recognition in large-scale remote sensing images," Accepted in Int. Conf. on Machine Vision (ICMV 2021), 2021 [PDF]
  6. Rajeshreddy Datla, Chalavadi Vishnu, and C. Krishna Mohan., "Scene Classification in Remote Sensing Images using Dynamic Kernels," Accepted in Proc. of Int. Joint Conf. on Neural Network (IJCNN 2021), 2021 [PDF]
  7. Jeripothula Prudviraj, Chalavadi Vishnu, and C. Krishna Mohan., "Attentive Contextual Network for Image Captioning," Accepted in Int. Joint Conf. on Neural Network (IJCNN 2021), 2021 [PDF]
  8. 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 [PDF]
  9. 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 [PDF]
  10. 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), 2020 [PDF]
  11. 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 [PDF]
  12. 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 [PDF]
  13. 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]
  14. 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]
  15. 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]
  16. 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]
  17. 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]
  18. 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 [PDF]
  19. 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]
  20. 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]
  21. 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]
  22. 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]
  23. 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]
  24. 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 [PDF]
  25. 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 [PDF]
  26. 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 [PDF]
  27. 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 [PDF]
  28. 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]
  29. 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 [PDF]
  30. 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 [PDF]
  31. 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 [PDF]
  32. 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 [PDF]
  33. 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 [PDF]
  34. 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 [PDF]
  35. 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 [PDF]
  36. 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, USA2014. DOI: 10.1109/ICMLA.2014.30 [PDF]
  37. 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 [PDF]
  38. 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 [PDF]
  39. 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 [PDF]
  40. 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 [PDF]
  41. 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]
  42. 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 [PDF]
  43. 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 [PDF]
  44. 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 [PDF]
  45. 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 [PDF]
  46. 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 [PDF]
  47. 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 [PDF]
  48. 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 [PDF]
  49. 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 [PDF]
  50. 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
  51. 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
  52. 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
  53. 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 [PDF]
  54. 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 [PDF]

Workshops

  1. K Naveen Kumar, C Vishnu, Reshmi Mitra, C Krishna Mohan, "Black-box Adversarial Attacks in Autonomous Vehicles," Accepted in IEEE Applied Imagery Pattern Recognition (AIPR), 2020
  2. 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
  3. 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

-<<< PROJECTS >>>-

Projects - Ongoing

Smart Hangar for Airplane Parking to help Tug Operators
Innominds, Hyderabad


Face Swap - selfies with provided target videos such as replacing faces of users to faces in the movies/movie clips
vMeld


Real-time Road Hazard Detection
Hyundai GMobis, Hyderabad


Facial Engagement Classification through Face Detection on Semi-supervised Data
I'm Beside You (IBY - Japan)


Projects - Completed

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

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

Collision Prediction

Road Scene Analysis

Multi-Vehicular Tracking

Road Segmentation


Industrial Application of Anamoly Detection in Fine-grained Actions
Cogknit, Bangalore


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


Mobile Edge Computing: Optimized Video Bokeh and Image Deduplication OPPO India R & D, Hyderabad

Image Deduplication

Video Bokeh


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

Precipitation Nowcast

Road Scene Analysis

Cloud Classification Timeline

Cloud Classification and Detection

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


-<<< 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.
Central Assistant Public Information Officer IIT Hyderabad Nov 8, 2012 Mar 29, 2016
7.
Central Public Information Officer IIT Hyderabad Mar 30, 2016 Till date
8.
Senate Member IIT Tirupati Sep 9, 2019 Aug, 2021
9.
Senate Member IIITDM Kurnool May 19, 2019 May 18, 2021
10.
Chairman, Faculty & Staff Grievance Committee IIT Hyderabad Sep 23, 2019 Till date
11.
Member of Governing Body i-TIC Foundation IIT Hyderabad Sep 09, 2019 Till date
12.
Member, Board of Directors IIT Hyderabad Technology Research Park Sep 27, 2020 Till date
13.
Member, Board of Directors IIT Hyderabad i-TIC Foundation Sep 27, 2020 Till date
14.
Chairman - Disciplinary Action Committee (DAC) IIT Hyderabad Dec 08, 2020 Till date
15.
Board of Governors IIIT Kottayam July 01, 2022 Till date

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

Institution-Building

  • Established Visual Intelligence and Learning Group (VIGIL) at IIT Hyderabad
  • Established CSE Dept. teaching and research labs
  • 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 three NKN-virtual classrooms as the IITH Nodal officer
  • Involved in outreach initiatives through TEQIP, CSE Dept open day, BoS activities, workshops for schools


-<<< SERVICES >>>-

Professional Bodies

  • Senior Member, IEEE
  • Member, ACM and AAAI
  • Life Member, ISTE (Indian Society For Technical Education)
  • Fellow, IEI, IETE, and TAS

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.
  • Selected as co-opted member of the SERB-PAC committee in Biomedical and Health science (BHS).


Organizing 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 Day 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.