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
Former Dean of Public and Corporate Relations   

Brief Biography

Dr. C. Krishna Mohan is currently a Professor in the Department of Computer Science and Engineering at the Indian Institute of Technology Hyderabad (IIT Hyderabad), India. He has been with IIT Hyderabad since 2009. He worked as Dean of Public and Corporate Relations, IIT Hyderabad, from Jan 2020 till Jan 2022. 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 the Excellence in Teaching Award, in recognition of distinguished teaching in the years 2018 and 2021 at IIT Hyderabad. He has published more than 100 papers in peer-reviewed international journals and conference proceedings. He has guided several Ph.D. (15), Masters (43), and Undergraduate (56) students. He has successfully carried out several projects with industry, government agencies, and academia.

Dr. C. Krishna Mohan was a Member of the Board of Governors (BOG), IIT Hyderabad, from June 2020 to December 2021 and Member of the Board of Governors (BOG), IIIT Kottayam from July 2022. Also, he is a Member of the Board of Directors, IIT Hyderabad Technology Research Park from September 2020 and a Member of the Board of Directors, i-TIC which is Technology Business Incubator (TBI) at IIT Hyderabad from September 2020. He is a Senate Member of IIT Hyderabad from November 2010. Also, he served as Senate Member of IIT Tirupati from September 2019 to April 2022, and IIITDM Kurnool from May 2019 to May 2021. 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. In 2023-2024, he was awarded with the prestigious Fulbright-Nehru International Education Administrators Seminar fellowship.

-<<< 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
  • Federated Learning for Action Recognition/Autonomous Vehicles
  • 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 - 15    PhDs Ongoing - 3

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

Co-supervisor : Dr. Sparsh Mittal

Area of Research : Light-weight DNNs

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

Current Affiliation : Data Scientist in AI R&D - Aisin Tokyo Research Center , Japan

 11.

Prudhviraj Jeripothula 2022

Area of Research : Semantic Description of Video Activities

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

Current Affiliation : Research consultant in TCS R&D, India

 12.

Rasna Azeez 2022

Part-time

Area of Research : Geospatial Image Analysis

Current Affiliation : Sr. Technology Manager in Carrer, Hyderabad, India

 13.

Y. Sravani 2022 {Website}

Area of Research : Fine-grained Action Recognition

Funded by : UGC-NET JRF

Thesis Title : Understanding human actions through interaction modeling

 14.

Sharma J 2022

Area of Research : Aerial imagery analysis

Thesis Title : Methods for Effective Classification and Captioning in Remote Sensing Images

Current Affiliation : Assistant professor at Gitam University, Hyderabad, India

 15.

C Nagaraju 2023

Area of Research : Distributed Learning

Thesis Title : Communication Efficient Distributed Learning with Improved Convergence

Current Affiliation : Associate Professor at BVRIT college for women, Hyderabad, India

PhDs Ongoing

K. Naveen Kumar {Website}

Area of Research : Security and Privacy in Machine Learning (Federated Learning) for Medical Image Analysis

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 - 43    MTechs Ongoing - 4

MTechs Graduated

S No.
 Name of the Student Thesis Title
1.
 K Jenni (2011) Content Based Image Retrieval by Preprocessing Image Database
2.
 Ch Sharath (2014) Matching Kernel for Variable Length Patterns of Human Activity Classification
3.
 J Srikanth (2014) Scene Segmentation and Classification
4.
 Tony Basil (2014) Features for Detection of Heart Arrhythmias
5.
 Kalla Srinivas (2015) Detection of Abnormal Events in Surveillance Videos
6.
 E Harish (2015) Face Recognition from Real Time Videos Using Stacked Autoencoder
7.
 Neeraj Kumar (2015) Content Based Image Retrieval for Big Visual Data
8.
 Kunal Dahiya (2016) Detection of Abnormal Events in Surveillance Videos
9.
 Vidhi Rani K (2016) Heirarchical Background Subtraction Algorithm for Foreground
10.
 Guguloth Suresh (2017) Reducing Convergence Time of Data-Parallel Approach for Distributed Neural Network
11.
 Lokesh Janghel (2017) Investigation of Siamese CNN for Person Detection and Re-Identification
12.
 Bedanta Das (2019) Action Localization in Videos
13.
 Challapalli Phanindra Revanth (2021) Object Detection on aerial imagery
14.
 Akhil Kumar Reddy Bhavanam (2021) Few-shot object detection via fine tuning
15.
 Vinay Prakash (2021) Few-shot object detection via fine tuning
16.
 Amey Nitin Bahulkar (2021) Adversarial attacks on autonomous vehicles
17.
 Sreeragh A R (2021) Improvements to semantic segmentation
18.
 Malipatel Indrakaran Reddy (2021) Attention guided compositional action recognition
19.
 Shri Vinayaka Pandi Nataraja Karayalar (2021) A comparative study of various techniques for image from text
20.
 Raman Kishore (2021) Attention based temporal modeling techniques for action recognition
21.
 GSD Sanjay Bharat (3 year) (2021) Multi Object Tracking And Segmentation In Surveillance Videos
22.
 Abhinav Singh (2021) Multi-scale Attention for Person Re-Identification
23.
 Vishal Kumar (2021) Semantic Segmentation Using Triplet Feature Network
24.
 Sachin Goyal (2021) Real-Time and online Multiple Object Tracking
25.
 Abhijith Girin N V (3 year) (2021) Fetal Heart Segmentation and Video Summarization
26.
 Uday Kumar (3 year) (2022) Computer Vision for Autonomous Vehicles
27.
 Sai Harsha (3 year) (2022) Traffic Congestion Prediction
28.
 Shivangi Parashar (2022) AI based Diagnosis of Liver Cancer
29.
 Durvasula V K M Rishab (2022) Object Detection on 3D Point Cloud Data
30.
 Anushka Joshi (2022) Computer Vision for Earth Science
31.
 Pooja H (2022) Action Recognition
32.
 Saurabh Joshi (2022) Multi Object Tracking In Military Surveillance Applications Using Computer Vision
33.
 Ankit Chandra (2022) Object Detection on Remote Sensing Images
34.
 Rajeev Sharma (2022) 3D Object Detection and Tracking using Point Cloud Data
35.
 Raj Surana (2022) Object Segmentation and Tracking for Autonomous Vehicles
36.
 Vineel Abhinav (3 year) (2022) Improving Instance Segmentation on Remote Sensing Aerial Images
37.
 Prasanna Kumar (2023) 3D Object Detection using Point Clouds
38.
 Sashank Jerri (2023) Model Fusion in Federated Learning for Medical Image Segmentation
39.
 Raguru Sai Sandeep (2023) Heterogenous Model Fusion in Federated Learning for Medical Analysis
40.
 Jaya Mohan (2023) LiDar and Camera Fusion in Autonomous Vehicle
41.
 Lakshmi Gayathri Gudipudi (2023) 3D Object Tracking using Point Clouds
42.
 Anant Mittal (2023) 3D Object Detection
43.
 P. Sharma (3 year) (2024) 3D Object Detection in Autonomous Vehicles using LIDAR Data

MTechs Ongoing

S No.
 Name of the Student Thesis Title
1.
 Manan Darji Federated Learning in Autonomous Vehicle Technology
2.
 Shrusti Unsupervised Domain Adaptation
3.
 Ahmed Abdullah Causal Semantic Segmentation in Adverse Weather Conditions
4.
 Ayush Kumar Causal Instance Segmentation in Adverse Weather Conditions



  • BTech Graduated - 56

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
  • Navchetan Awasthi, University of Amsterdam, Netherlands
  • Dr. Zahid Akhtar, State University of New York Polytechnic Institute, USA

-<<< PUBLICATIONS >>>-

Patents [3]

  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 [2]

  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 [54]

  1. K Naveen Kumar, C Krishna Mohan, Linga Reddy Cenkeramaddi, and Navchetan Awasthi, “Minimal Data Poisoning Attack in Federated Learning for Medical Image Classification: An Attacker Perspective”, Accepted in Artificial Intelligence In Medicine, 2024. (Impact Factor = 6.1) [PDF]
  2. Anushka Joshi, Balasubramanian Raman, and C Krishna Mohan, “Real-Time Earthquake Magnitude Prediction Using Designed Machine Learning Ensemble Trained on Real and CTGAN Generated Synthetic Data”, Accepted in Geodesy and Geodynamics Journal, 2024. (Impact Factor = 8.0) [PDF]
  3. K. Naveen Kumar, Debaditya Roy, Thakur Ashutosh Suman, Chalavadi Vishnu, C. Krishna Mohan, “TSANet: Forecasting Traffic Congestion Patterns from Aerial Videos using Graphs and Transformers”, in Pattern Recognition Journal, Volume 155, 2024. (Impact Factor = 8.0) [PDF]
  4. Rajeshreddy Datla, Nazil Perveen, C Krishna Mohan, “Learning scene-vectors for remote sensing image scene classification”, in Neurocomputing, Volume 587, 2024, 127679, ISSN 0925-2312,https://doi.org/10.1016/j.neucom.2024.127679 (Impact Factor = 5.779) [PDF]
  5. Rajeshreddy Datla, G Swetha, C Gayathri, “EGANet: Elevation-guided attention network for scene classification in panchromatic remote sensing images”, Accepted in Neural Computing and Applications (Elsevier), 2024. (Impact Factor = 6.0) [PDF]
  6. Yenduri Sravani, Chalavadi Vishnu, and C Krishna Mohan, “Adaptive temporal aggregation for table tennis shot recognition”, Accepted in Neurocomputing (Elsevier), 2024. (Impact Factor = 5.779) [PDF]
  7. K Naveen Kumar, C Krishna Mohan, Linga Reddy Cenkeramaddi, “The Impact of Adversarial Attacks on Federated Learning: A Survey”, in IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, DOI: 10.1109/TPAMI.2023.3322785. (Impact Factor = 24.314) [PDF]
  8. Peketi Divya, Yenduri Sravani, Chalavadi Vishnu, C Krishna Mohan, Yen Wei Chen, “Memory Guided Transformer with Spatio-Semantic Visual Extractor for Medical Report Generation”, Accepted in IEEE Journal of Biomedical and Health Informatics, 2024. (Impact Factor = 7.7) [PDF]
  9. Madhavi Kondapally, K Naveen Kumar, Chalavadi Vishnu, and C Krishna Mohan. "Towards a Transitional Weather Scene Recognition Approach for Autonomous Vehicles", in IEEE Transactions on Intelligent Transportation Systems, 2023. (Impact Factor = 8.5) [PDF]
  10. Anushka Joshi, Linga Reddy Cenkeramaddi, Balasubramanian Raman, C Krishna Mohan, Linga Reddy Cenkeramaddi, “A new machine learning approach for estimating shear wave velocity profile using borelog data ”, in Soil Dynamics and Earthquake Engineering, 2023. (Impact Factor = 4.0) [PDF]
  11. Soumya. A, Krishna Mohan C, and Linga Reddy Cenkeramaddi, "Recent Advances in mmWave-Radar-Based Sensing, Its Applications, and Machine Learning Techniques: A Review", in MDPI Sensors Journal, 2023. (Impact Factor = 3.9) [PDF]
  12. Rambabu Damalla, Rajeshreddy Datla, Chalavadi Vishnu, C Krishna Mohan, "Self-supervised embedding for generalized zero-shot learning in remote sensing scene classification", in SPIE Journal of Applied Remote Sensing (JARS), 2023. (Impact Factor = 1.568) [PDF]
  13. Anushka Joshi, Balasubramanian Raman, C Krishna Mohan, Linga Reddy Cenkeramaddi, “Application of a New Machine Learning Model to Improve Earthquake Ground Motion Predictions”, in Natural Hazards (Springer), 2023. (Impact Factor = 3.7) [PDF]
  14. Sai Harsha Yelleni, Kumari Deepshikha, Srijith P.K, Krishna Mohan Chalavadi, "Monte Carlo DropBlock for Modelling Uncertainty in Object Detection" in Pattern Recognition (Elsevier) , 2023. (Impact Factor = 8) [PDF]
  15. G Swetha, Rajeshreddy Datla, C Vishnu, C Krishna Mohan, “M2-APNet: A multimodal deep learning network to predict major air pollutants from temporal satellite images”, in SPIE Journal of Applied Remote Sensing, 2023. (Impact Factor = 1.568) [PDF]
  16. Suresh Samudrala, C Krishna Mohan, “Semantic Segmentation of Breast Cancer Images Using DenseNet with Proposed PSPNet”, in Multimedia Tools and Applications (Springer) , 2023. (Impact factor = 3.6) [PDF]
  17. Anushka Joshi, Chalavadi Vishnu, C Krishna Mohan, Balasubramanian Raman, “XGBoost model for early prediction of earthquake magnitude from waveform data”, in Journal of Earth System Science (Springer), 2023. (Impact factor = 2.0) [PDF]
  18. Chalavadi Vishnu, Linga Reddy Cenkeramaddi, C Krishna Mohan, Jayesh Khandelwal, “EVAA - Exchange Vanishing Adversarial Attack on LiDAR Point Clouds in Autonomous Vehicles” in IEEE Transactions on Geoscience and Remote Sensing, doi: 10.1109/TGRS.2023.3292372, 2023. (Impact factor = 8.2) [PDF]
  19. Chalavadi Vishnu, Vineel Abhinav, Debaditya Roy, Sobhan Babu, and C. Krishna Mohan, "Improving Multi-agent Trajectory Prediction using Dynamic Traffic States on Interactive Driving Scenarios," in IEEE Robotics and Automation Letters pp. 1-8, doi: 10.1109/LRA.2023.3258685,2023. (Impact factor = 5.2) [PDF]
  20. Aveen Dayal, M. Aishwarya, S. Abhilash, C Krishna Mohan, Abhinav Kumar, Linga Reddy Cenkeramaddi, “Adversarial Unsupervised Domain Adaptation for Hand Gesture Recognition using Thermal Images” in IEEE Sensors Journal Vol: 23, PP: 3493 - 3504,2022. (Impact factor = 4.323) [PDF]
  21. Anushka Joshi, Chalavadi Vishnu, Krishna Mohan, "Early detection of earthquake magnitude based on stacked ensemble model," Journal of Asian Earth Sciences (Elsevier), pp. 100122, ISSN 2590-0560,2022. (Impact factor = 3.0) [PDF]
  22. Onkar Susladkar, Gayatri Deshmukh, Subhrajit Nag, Ananya Mantravadi, Dhruv Makwana, Sujitha Ravichandran, Sai Chandra Teja R, Gajanan H Chavhan, C Krishna Mohan, and Sparsh Mittal, "ClarifyNet: A High-Pass and Low-Pass Filtering Based CNN for Single Image Dehazing", Journal of Systems Architecture (Elsevier), https://doi.org/10.1016/j.sysarc.2022.102736, 2022. (Impact factor = 4.5) [PDF]
  23. Subhrajit Nag, Dhruv Makwana, Sai Chandra Teja R, Sparsh Mittal, and C Krishna Mohan, "WaferSegClassNet - A Light-weight Network for Classification and Segmentation of Semiconductor Wafer Defects", Computers in Industry journal (Elsevier), pp. 1-10. ISSN 0166-3615, https://doi.org/10.1016/j.compind.2022.103720, 2022. (Impact factor = 11.245) [PDF]
  24. 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," in International Journal of Remote Sensing, pp.865-875, 2022 (Impact factor = 3.531) [PDF]
  25. Prudviraj Jeripothula, Chalavadi Vishnu, C Krishna Mohan, "AAP-MIT: Attentive Atrous Pyramid Network and Memory Incorporated Transformer for Multi-Sentence Video Description," in IEEE Transactions on Image Processing, pp.5559-5569, 2022 (Impact factor = 10.6) [PDF]
  26. 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), pp.47-60, 2022 [PDF]
  27. Prudviraj Jeripothula, Chalavadi Vishnu and C Krishna Mohan, "M-FFN: Multi-Scale Feature Fusion Network for Image Captioning", in Applied Intelligence (Springer), pp.14711-14723, 2022 (Impact factor = 5.019) [PDF]
  28. 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), pp.108548, 2022 (Impact factor = 8) [PDF]
  29. Prudviraj Jeripothula, Yenduri Sravani, and C. Krishna Mohan. "Incorporating attentive multi-scale context information for image captioning",in Multimedia Tools and Applications (Springer), pp.1-21, 2022 (Impact factor = 3.6) [PDF]
  30. Yenduri, Sravani, Nazil Perveen, Vishnu Chalavadi, and C. Krishna Mohan , "Fine-grained action recognition using dynamic kernels," in Pattern Recognition (Elsevier), pp.108282, 2021 (Impact factor = 8.0) [PDF]
  31. 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 (Impact factor = 4.325) [PDF]
  32. 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 (Impact factor = 2.3) [PDF]
  33. Debaditya Roy, Tetsuhiro Ishizaka, C Krishna Mohan, Atsushi Fukuda, "Detection of Collision-Prone Vehicle Behavior at Intersections using Siamese Interaction LSTM," in IEEE Transactions on Intelligent Transportation Systems, pp.3137-3147, 2020 (Impact factor = 8.5) [PDF]
  34. 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 (Impact factor = 4.4) [PDF]
  35. 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 (Impact factor = 10.6) [PDF]
  36. 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 (Impact factor = 10.6) [PDF]
  37. 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 (Impact factor = 7.3) [PDF]
  38. 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 (Impact factor = 8.5) [PDF]
  39. 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 (Impact factor = 10.6) [PDF]
  40. 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 (Impact factor = 5.1) [PDF]
  41. 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 (Impact factor = 7.3) [PDF]
  42. 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 (Impact factor = 8) [PDF]
  43. 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 (Impact factor = 3.9) [PDF]
  44. 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 (Impact factor = 7.2) [PDF]
  45. 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 (Impact factor = 8) [PDF]
  46. 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 (Impact factor = 5.1)[PDF]
  47. 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 (Impact factor = 8) [PDF]
  48. 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 (Impact factor = 8) [PDF]
  49. 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 (Impact factor = 8.7) [PDF]
  50. 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 (Impact factor = 6) [PDF]
  51. 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 (Impact factor = 1.234) [PDF]
  52. 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]
  53. 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 (Impact factor = 2.3) [PDF]
  54. 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]
  55. 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 [83]

  1. A Soumya, C Krishna Mohan, Linga Reddy Cenkeramaddi, “PointBi-FPN: An Extension to Point Pillars for LiDAR 3D Object Detection in Autonomous Vehicles Using Bi-Directional Feature Pyramid Network”, Accepted in International Conference TENCON, IEEE, 2024. [PDF]
  2. Soumya A, C Krishna Mohan, Linga Reddy Cenkeramaddi, “High Precision Single Shot Object Detection in Automotive Scenarios”, in 19th International Conference on Computer Vision Theory and Applications (VISAPP), 2024. [PDF]
  3. Khin Cho Win, Zahid Akhtar, C Krishna Mohan, “Robust Facial Emotion Recognition System via De-Pooling Feature Enhancement and Weighted Exponential Moving Average”, Accepted in International Conference TENCON, IEEE, 2024. [PDF]
  4. Ishu Priya, C Krishna Mohan, “FL-PSeC: Federated Learning-Pseudo Labeled Medical Image Segmentation with Personalized Class Balancing Semi-supervised Approach”, Accepted in International Conference on Pattern Recognition (ICPR), 2024. [PDF]
  5. Kondapally Madhavi, K Naveen Kumar, C Krishna Mohan, “Object Detection in Transitional Weather Conditions for Autonomous Vehicles”, Accepted in International Joint Conference on Neural Networks (IJCNN), IEEE, 2024. [PDF]
  6. Damalla Rambabu, Swetha G, Datla Rajesh Reddy, Vishnu Chalavadi, C Krishna Mohan, “RSZero-CSAT: Zero-Shot Scene Classification in Remote Sensing Imagery Using a Cross Semantic Attribute-Guided Transformer”, Accepted in International Joint Conference on Neural Networks (IJCNN), IEEE, 2024. [PDF]
  7. Aveen Dayal, Rishabh Lalla, Vineeth Balasubramanian, Linga Reddy Cenkeramaddi, C Krishna Mohan, Abhinav Kumar, “Improving Unsupervised Domain Adaptation: A Pseudo-Candidate Set Approach”, Accepted in European Conference on Computer Vision (ECCV), 2024. [PDF]
  8. K Naveen Kumar, Reshmi Mitra, C Krishna Mohan, “Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space”, Accepted in Computer Vision and Pattern Recognition Conference (CVPR), 2024. [PDF]
  9. K Naveen Kumar, C Krishna Mohan, Aravind Machiry, “Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning”, Accepted in ACM Conference on Data and Application Security and Privacy (ACM CODASPY), 2024. [PDF]
  10. Aveen Dayal, Vimal K B, Linga Reddy Cenkeramaddi, C Krishna Mohan, Abhinav Kumar, Vineeth N. Balasubramanian, “Margin-based Adversarial Learning for Domain Generalization”, in Proc. on Int. Conf. on Neural Information Processing Systems (NeurIPS),2023. [PDF]
  11. Peketi Divya, Vishnu Chalavadi, C. Krishna Mohan, Yen Wei Chen, "FLWGAN: Federated Learning with Wasserstein Generative Adversarial Network for Brain Tumor Segmentation", in Int. Joint Conf. on Neural Networks (IJCNN), IEEE,2023. [PDF]
  12. Soumya. A, Linga Reddy Cenkeramaddi, Chalavadi Vishnu, and Krishna Mohan C, "Multi-Class Object Classification using Deep Learning Models in Automotive Object Detection Scenarios"; in the 16th Int. Conf. on Machine Vision (ICMV),2023. [PDF]
  13. Soumya. A, Linga Reddy Cenkeramaddi, Chalavadi Vishnu, Yash Vinod, and Krishna Mohan C, "Multi-Target Classification using Deep Learning Models for Automotive Applications", in the 11th Int. Conf. on Control, Mechatronics, and Automation (ICCMA),2023. [PDF]
  14. G Swetha, Rajeshreddy Datla,C Vishnu,C Krishna Mohan, “MS-VACSNet: A Network for Multi-scale Volcanic Ash Cloud Segmentation in Remote Sensing Images”, in 18th Int. Conf. on Machine Vision and Applications (ICMVA),2023. [PDF]
  15. A Soumya, Cenkeramaddi Linga Reddy, Chalavadi Vishnu, Lanjewar Yash Vinod and C Krishna Mohan, “Multi-Class Object Classification using Deep Learning Models in Automotive Object Detection Scenarios”, in Int. Conf. on Machine Vision Applications,2023. [PDF]
  16. Mrinmay Sen, C Krishna Mohan, Kai Qin, “FopLAHD: Federated optimization using Locally Approximated Hessian Diagonal”, in Int. Conf. Big Data Analytics (BDA),2023. [PDF]
  17. Mrinmay Sen, C Krishna Mohan, Kai Qin, "Federated Optimization with Linear-time approximated Hessian diagonal", in Int. Conf. on Pattern Recognition and Machine Intelligence (PReMI2023),2023. [PDF]
  18. P Harinadha, C. Krishna Mohan, “Leaf Based Tomato Plant Disease Detection Using Generated Images from WGP-ESR GAN”, in IEEE Int. Conf. on Data Science and Network Security (ICDSNS-2023),2023. [PDF]
  19. Suresh Samudrala, C. Krishna Mohan, “MRI Brain Tumor Detection and Classification Using U-NET CNN,” in IEEE Int. Conf. on Data Science and Network Security (ICDSNS-2023),2023. [PDF]
  20. P Harinadha, C. Krishna Mohan, “Tomato Plant Leaf Disease Detection Using Transfer Learning-based ResNet110”, in IEEE Int. Conf. on Data Science and Network Security (ICDSNS-2023),2023. [PDF]
  21. Swetha G, Rajesh Datla, C Krishna Mohan, “MS-VACSNet: A Network for Multi-scale Volcanic Ash Cloud Segmentation in Remote Sensing Images”, in Int. Conf. on Machine Vision Applications,2023. [PDF]
  22. Mrinmay Sen, C Krishna Mohan, A Kai Qin, “Federated Optimization with Linear-time approximated Hessian diagonal”, in Int. Conf. on Pattern Recognition and Machine Intelligence,2023. [PDF]
  23. C. Nagaraju, Mrinmay Sen, C. Krishna Mohan, "Handling Data Heterogeneity in Federated Learning with Global Data Distribution", in Int. Conf. on Image Processing and Vision Engineering (IPVE),2023. [PDF]
  24. Nagaraju C, Ramesh Yenda and Krishna Mohan C, “A Data Parallel Approach for Distributed Neural Networks to Achieve Faster Convergence”, in Int. Conf. on Machine Vision (ICMV 2023),2023. [PDF]
  25. Sharma J, Rajesh Reddy Datla, Yenduri Sravani, Chalavadi Vishnu, and C Krishna Mohan. "Aircraft type recognition in remote sensing images using mean interval kernel", in International Conference on Image Processing and Vision Engineering, pp. 166-173,2022 [PDF]
  26. Sharma J, P. Divya., V. Chalavadi., C. L. Reddy., B. H. Shekar., and Krishna Mohan C. "Deformable and structural representative network for remote sensing image captioning", in International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.(VISAPP, 2022). SciTePress, 2022.[PDF]
  27. Sharma J, Peketi Divya, Sravani Yenduri, Shekar B H and C Krishna Mohan, “Structural Representative Network for Remote Sensing Image Captioning”, in International Conference on Machine Vision (ICMV), 2022.[PDF]
  28. Yenduri Sravani, C Vishnu, and C Krishna Mohan., "Fine-grained action recognition using attribute vectors," in 17th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISAPP), pp. 134-143 2022 [PDF]
  29. Yenduri Sravani, Vishnu Chalavadi, and C. Krishna Mohan. "STIP-GCN: Space-time interest points graph convolutional network for action recognition," in International Joint Conference on Neural Networks (IJCNN), pp. 1-8. IEEE, 2022 [PDF]
  30. Sravani Yenduri, Chalavadi Vishnu, and C. Krishna Mohan. , "Adaptive spatial and temporal aggregation for table tennis shot recognition," in International Conference on Machine Vision (ICMV), 2022 [PDF]
  31. 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," in AIMLSystems, pp. 1-7, 2021 [PDF]
  32. 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," in IEEE India Council International Conference (INDICON 2021). , pp. 1-6. IEEE, 2021 [PDF]
  33. Rajeshreddy Datla, Chalavadi Vishnu, and C. Krishna Mohan. , "A multimodal semantic segmentation for airport runway delineation in panchromatic remote sensing images," in Int. Conf. on Machine Vision (ICMV 2021), Vol. 12084, pp. 46-52, 2021 [PDF]
  34. Rajeshreddy Datla, Chalavadi Vishnu, and C. Krishna Mohan. , "A framework to derive geospatial attributes for aircraft type recognition in large-scale remote sensing images," in Int. Conf. on Machine Vision (ICMV 2021), Vol. 12084, pp. 172-179, 2021 [PDF]
  35. Rajeshreddy Datla, Chalavadi Vishnu, and C. Krishna Mohan., "Scene Classification in Remote Sensing Images using Dynamic Kernels," in Proc. of Int. Joint Conf. on Neural Network (IJCNN 2021), pp. 1-8. IEEE, 2021 [PDF]
  36. Jeripothula Prudviraj, Chalavadi Vishnu, and C. Krishna Mohan., "Attentive Contextual Network for Image Captioning," in Int. Joint Conf. on Neural Network (IJCNN 2021), pp. 1-8. IEEE, 2021 [PDF]
  37. Debaditya Roy, K Naveen Kumar, C. Krishna Mohan, "Defining Traffic States using Spatio-Temporal Traffic Graphs," in IEEE Intelligent Transport Systems Conference (ITSC), pp. 1-6. IEEE, 2020 [PDF]
  38. Dinesh Singh, C. Vishnu, C. Krishna Mohan, "Real-Time Detection of Motorcyclist without Helmet using Cascade of CNNs on Edge-device," in. IEEE Intelligent Transport Systems Conference (ITSC), pp. 1-8. IEEE, 2020 [PDF]
  39. 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 [PDF]
  40. Nazil Perveen and C. Krishna Mohan, "Configural representation of facial action units for spontaneous facial expression recognition in the wild," in 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), pp. 93-102, 2020 [PDF]
  41. Nazil Perveen, C. Krishna Mohan, and Yen. Wei Chen, "Quantitative Analysis of Facial Paralysis Using GMM and Dynamic Kernels," in 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP), pp. 173-184, 2020 [PDF]
  42. 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]
  43. 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]
  44. 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]
  45. 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]
  46. 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]
  47. 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]
  48. 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]
  49. 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]
  50. 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]
  51. 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]
  52. 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]
  53. 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]
  54. 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]
  55. 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]
  56. 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]
  57. 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]
  58. 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]
  59. 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]
  60. 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]
  61. 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]
  62. 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]
  63. 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]
  64. 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]
  65. 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]
  66. 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]
  67. 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]
  68. 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]
  69. 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]
  70. 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]
  71. 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]
  72. 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]
  73. 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]
  74. 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]
  75. 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]
  76. 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]
  77. 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]
  78. 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]
  79. 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
  80. 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
  81. 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
  82. 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]
  83. 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 [5]

  1. K. Madhavi, K. Naveen Kumar, and C. Krishna Mohan, "TransWardX: An Explainable Black-box Object Detection Attack for Autonomous Driving in Transitional Weather Conditions", in First Workshop on Intelligent Mobility in Unstructured Environments (IMUS 2024), 2024. [PDF]
  2. K. Naveen Kumar, Digvijay S. Pawar, and C. Krishna Mohan. "Open-air Off-street Vehicle Parking Management System Using Deep Neural Networks: A Case Study", In Proc. 14th IEEE Int. Conf. on COMmunication Systems & NETworkS (COMSNETS), pp. 800-805, doi: 10.1109/COMSNETS53615.2022.9668364, 2022.
  3. K Naveen Kumar, C Vishnu, Reshmi Mitra, C Krishna Mohan, "Black-box Adversarial Attacks in Autonomous Vehicles," in IEEE Applied Imagery Pattern Recognition (AIPR), 2020.
  4. 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
  5. 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

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

Projects - Completed

Real-time Road Hazard Detection
Hyundai GMobis, Hyderabad

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

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 July 5, 2022
11.
 Member, Board of Directors IIT Hyderabad Technology Research Park Sep 27, 2020 Till date
12.
 Member, Board of Directors IIT Hyderabad i-TIC Foundation Sep 27, 2020 Till date
13.
 Chairman - Disciplinary Action Committee (DAC) IIT Hyderabad Dec 08, 2020 July 7, 2022
14.
 Member, Board of Governors IIIT Kottayam July 01, 2022 Till date
15.
 Member, Technical Advisory Committee for Patent Acquisition Collaborative Research & Technology Development (PACE) Program of Department of Scientific & Industrial Research (DSIR) September 14, 2021 March 31, 2026
16.
 Co-opted Member, SERB-PAC committee Biomedical and Health Science (BHS) August, 2022 Till date
17.
 Member, Police Technology Missions sub-committee : Imagery Intelligence (IMINT) and Signal Intelligence (SIGINT) Ministry of Home Affairs Government of India October, 2022 Till date
18.
 Contact coordinate of experts in the field of Drone Techniques Union Public Service Commission (UPSC), New Delhi June, 2023 Till date

Governing Body / Academic Council


S No.
 Designation Institute Start Date End Date
1.
 Member of Advisory Committee CBIT Hyderabad Apr 2021 Till Date
2.
 Member - Governing Body BVRIT Hyderabad July 2015 Till date
3.
 Member of Academic Council Malla Reddy University Hyd Jan 2021 Till date
4.
 Member - Governing Body AITAM Tekkali July 2016 Till date
5.
 Member of Governing Body Sreyas Institute of Engineering and Technology Dec 2020 Till date
6.
 Member of Academic Council, AITAM Tekkali July 2013 Dec 2015
7.
 Member, Governing Body Gokaraju Rangaraju Institute of Engineering and Technology April 2022 Till date
8.
 UGC nominee on the governing body Kommuri Pratap Reddy Institute of Technology September 2022 Till date
9.
 Editorial Member KirIITH April, 2023 Till date
10.
 Member, Academic Council Ramachandra College of Engineering, Eluru June, 2023 Till date
11.
 Expert committee member to evaluate the existing academic programmes Cochin University of Science and Technology June, 2023 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.
 RVR & JC College of Engg. Guntur Oct 2015 Till Date
10.
 VJIT Hyderabad June 2017 June 2019
11.
 SJCE Mysore Aug 2012 Till Date
12.
 NEC Kovilpatti Oct 2019 Till Date
13.
 PDA Engg. College, Gulbarga, Karnataka Oct 2019 Till Date
14.
 School of CSE, Kerala University of Digital Sciences, Innovation and Technology (KUDSIT), Kerala Mar 2021 Till Date
15.
 School of Computer Engineering, Kalinga Institute of Industrial Technology, Odisha Mar 2021 Till Date
16.
 VIT AP Amaravathi Jan 2021 Till Date
17.
 Bonam Venkata Chalamayya Engineering College, Odalarevu, AP Jan 2021 Till Date
18.
 Methodist college of Engineering and Technology Sep 2021 Till Date
19.
 Mizoram University from 15-9-2021 to 14-09-2024 Sep 2021 Sep 2024
20.
 D.J. Sanghvi College of Engineering April 2022 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


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Professional Bodies

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

  • Excellence in Research Award, in recognition of distinguished research in the year 2024 at IIT Hyderabad.
  • Awarded Fulbright-Nehru International Education Administrators Seminar fellowship for the year 2023-2024.
  • In recognition of his works on detection of crime events in surveillance videos and traffic analytics, selected as a member of police technology missions sub-committee: Imagery intelligence (IMINT) and signal intelligence (SIGINT),Ministry of Home Affairs, Government of India.
  • In recognition to the academic credentials, appointed as Senate Member in IIT Tirupati & member of Board of Governors (BOG) in IIIT Kottayam
  • Best oral presentation for a manuscript entitled “A multimodal semantic segmentation for airport runway delineation in panchromatic remote sensing images”, at the 14th International Conference on Machine Vision (ICMV 2021), Italy.
  • Runner up in the National Level Project Competition of Innovation in Manufacturing Processes (IMP 2021) by CKM Vigil Pvt. Ltd. organized by the National Frontiers of Engineering Symposium (NATFOE-2021)
  • Recipient of Excellence in Teaching Award, in recognition of distinguished teaching in the years 2018 and 2021 at IIT Hyderabad.
  • Awarded Visiting Researcher Fellowship. Carnegie Mellon University, Pittsburg, 2007.
  • Awarded Visiting Researcher Fellowship. University of California, Irvine, 2013.
  • Visiting Professor position at Nihon University, Japan.
  • 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.
  • Appointed as co-opted member of the SERB-PAC committee in Biomedical and Health science (BHS).
  • Area Co-Chair for Syntax and Semantics in ICON2023.


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.