PROFILE

 

Prof. Anil Singh Parihar is Professor and Head of the Department of Computer Science & Engineering at Delhi Technological University, Delhi, with over 15 years of experience in academia and research. Holding a Ph.D. in Computer Vision along with a Master of Engineering and a Bachelor of Technology, his key research interests span computer vision, natural language processing, deep learning, artificial intelligence, and evolutionary computing. 

He serves as an Editor of The Visual Computer: International Journal of Computer Graphics (Springer Nature) and has built active research collaborations with Adobe Inc. (Noida), Samsung India Ltd. (Noida), and AIIMS, New Delhi. His sponsored research includes projects funded by ISRO on vision-based pose estimation for non-cooperative satellite docking and inspection, an NCIIPC-supported CycleGAN framework for generating cloud-free electro-optical satellite imagery, and the MeitY-funded Information Security Education and Awareness (ISEA) Project, Phase-II. 

His publication record features work in leading venues such as IEEE Transactions on Image Processing, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Vehicular Technology, IEEE Transactions on Cognitive and Developmental Systems, IEEE Transactions on Computational Social Systems, and Engineering Applications of Artificial Intelligence, covering topics from fuzzy-contextual contrast enhancement and edge detection to Bayesian decision-making for autonomous vehicles and video summarization. 
Beyond research, he has held several key administrative roles at DTU, including Head of Training and Placement, Associate Head of both Training and Placement and the Department of Computer Science & Engineering, and In-charge of Examination Secrecy, reflecting a career that combines innovative research, effective curriculum development, dedicated mentorship, and proactive cultivation of industry–academia synergy.

ADDRESS:

Room No. 005, Academic Block - 4, Delhi Technological University, Shahbad, Daulatpur, Main Bawana Road, Delhi-110042, India.

Google Scholar (h-index: 20, i10-index: 34): https://scholar.google.com/citations?user=JRr4wjoAAAAJ&hl=en

 

PREVIOUS POSITIONS/ EXPERIENCE

  • Head of the Department, Training & Placements, DTU
  • Associate Head, Training & Placements, DTU
  • Associate Head, Dept of CSE
  • In-charge Secrecy (Examination)

TEACHING (COURSES TAUGHT)

  • Pattern Recognition
  • Machine Learning
  • Deep Learning
  • Digital Image Processing
  • Artificial Intelligence and Expert Systems
  • Advance Computer Vision
  • Natural Language Processing

MEMBERSHIPS

IEEE Senior Member

PUBLICATIONS

INTERNATIONAL  JOURNALS 

  1. M. H. H. Arafat, R. Singh, K. Singh, Anil Singh Parihar, and P. Dabas, “Frame-wise Learned Offset Network with localized loss for video summarization,” Engineering Applications of Artificial Intelligence 173, 114466, 2026.
  2. S. K. Acharjee, K. Singh, and Anil Singh Parihar, “QLight-Net: Quaternion based low light image enhancement network,” Journal of Visual Communication and Image Representation 110, 104478, 2025.
  3. N. Kumar, O. P. Verma, and Anil Singh Parihar, “Evolution of transformer-based optical flow estimation techniques: a survey,” Multimedia Tools and Applications 84 (24), 28115-28156, 2025.
  4. P. Vaish and Anil Singh Parihar, “Deep decomposer and refiner for low-light image enhancement,” Signal, Image and Video Processing 19 (5), 391, 2025.
  5. V. Garg and Anil Singh Parihar, “QANet: quaternion attention network for video summarization,” Journal of Electronic Imaging 34 (2), 023028-023028, 2025.
  6. R. Sachdeva, R. Gakhar, S. Awasthi, K. Singh, A. Pandey, and Anil Singh Parihar, “Uncertainty and noise aware decision making for autonomous vehicles: a bayesian approach,” IEEE Transactions on Vehicular Technology 74 (1), 378-389, 2024.
  7. K. Singh and Anil Singh Parihar, “Bff: Bi-stream feature fusion for object detection in hazy environment,” Signal, Image and Video Processing 18 (4), 3097-3107, 2024.
  8. K. Singh and Anil Singh Parihar, “MRN-LOD: multi-exposure refinement network for low-light object detection,” Journal of Visual Communication and Image Representation 99, 104079, 2024.
  9. K. Singh, A. Pandey, A. Agarwal, M. K. Agarwal, A. Shankar, and Anil Singh Parihar, “FRN: Fusion and recalibration network for low-light image enhancement,” Multimedia Tools and Applications 83 (4), 12235-12252, 2024.
  10. K. Singh and Anil Singh Parihar, “Illumination estimation for nature preserving low-light image enhancement.,” Visual Computer 40 (1), 121, 2024.
  11. K. Singh and Anil Singh Parihar, “DSE-Net: Deep simultaneous estimation network for low-light image enhancement,” Journal of Visual Communication and Image Representation 91, 103780, 2023.
  12. Anil Singh Parihar and A. Java, “Densely connected convolutional transformer for single image dehazing,” Journal of Visual Communication and Image Representation 90, 103722, 2023.
  13. Anil Singh Parihar, S. Kumar, and S. Khosla, “S-DCNN: Stacked deep convolutional neural networks for malware classification,” Multimedia Tools and Applications 81 (21), 30997-31015, 2022.
  14. Anil Singh Parihar, D. Varshney, K. Pandya, and A. Aggarwal, “A comprehensive survey on video frame interpolation techniques.,” Visual Computer 38 (1), 295, 2022.
  15. A. Kabra, A. Agarwal, and Anil Singh Parihar, “Potent real-time recommendations using multimodel contextual reinforcement learning,” IEEE Transactions on Computational Social Systems 9 (2), 581-593, 2021.
  16. K. Singh and Anil Singh Parihar, “Variational optimization based single image dehazing,” Journal of Visual Communication and Image Representation 79, 103241, 2021.
  17. Anil Singh Parihar, K. Singh, H. Rohilla, and G. Asnani, “Fusion?based simultaneous estimation of reflectance and illumination for low?light image enhancement,” IET image processing 15 (7), 1410-1423, 2021.
  18. Anil Singh Parihar, G. Jain, S. Chopra, and S. Chopra, “SketchFormer: transformer-based approach for sketch recognition using vector images,” Multimedia Tools and Applications 80 (6), 9075-9091, 2021.
  19. Anil Singh Parihar, J. Pal, and I. Sharma, “Multiview video summarization using video partitioning and clustering,” Journal of Visual Communication and Image Representation 74, 102991, 2021.
  20. G. Jain, S. Chopra, S. Chopra, and Anil Singh Parihar, “Attention-net: An ensemble sketch recognition approach using vector images,” IEEE Transactions on Cognitive and Developmental Systems 14 (1), 136-145, 2020.
  21. Anil Singh Parihar, O. P. Verma, and C. Khanna, “Fuzzy-contextual contrast enhancement,” IEEE Transactions on Image Processing 26 (4), 1810-1819, 2017.
  22. Anil Singh Parihar, “Entropy-based adaptive gamma correction for content preserving contrast enhancement,” International Journal of Pure and Applied Mathematics 117 (20), 887-893, 2017.
  23. Anil Singh Parihar and O. P. Verma, “Contrast enhancement using entropy?based dynamic sub?histogram equalisation,” IET Image Processing 10 (11), 799-808, 2016.
  24. O. P. Verma and Anil Singh Parihar, “An optimal fuzzy system for edge detection in color images using bacterial foraging algorithm,” IEEE Transactions on Fuzzy systems 25 (1), 114-127, 2016.
  25. O. P. Verma, M. Hanmandlu, A. K. Sultania, and Anil Singh Parihar, “A novel fuzzy system for edge detection in noisy image using bacterial foraging,” Multidimensional Systems and Signal Processing 24 (1), 181-198, 2013.
  26. O. P. Verma, M. Hanmandlu, Anil Singh Parihar, and V. K. Madasu, “Fuzzy filters for noise reduction in color images,” ICGST-GVIP Journal 9 (5), 29-43, 2009.

INTERNATIONAL CONFERENCES

  1. V. Dhanyamraju, K. Singh, and Anil Singh Parihar, “Beyond Fixed Kernels: Dynamic Spatiotemporal Interaction Graphs for Trajectory Forecasting,” in 2026 IEEE 18th International Conference on Computational Intelligence and …, 2026.
  2. V. Dhanyamraju, K. Singh, and Anil Singh Parihar, “SWIFT-Net: Slot-Guided Wavelet Interaction Fusion for Trajectories,” in 2026 IEEE 18th International Conference on Computational Intelligence and …, 2026.
  3. A. Dutta, A. A. Naqvi, K. Singh, L. Gautam, Anil Singh Parihar, S. Bangare, et al., “SPACE-HOP: Spacecraft 6-DoF Pose Estimation using Embedding-Predictive Pretraining and Hopf Map,” in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2026.
  4. S. Shrestha, S. K. Gupta, and Anil Singh Parihar, “Performance analysis of action recognition models under low-light condition,” in Intelligent Computing and Communication Techniques, 115-121, 2025.
  5. M. Tandekar and Anil Singh Parihar, “Deep learning approaches to underwater image enhancement,” in Intelligent Computing and Communication Techniques: Proceedings of the …, 2025.
  6. S. K. Panwar, A. Kumar, and Anil Singh Parihar, “Elevating aerial vision-language navigation with enhanced feature extraction backbone using GELAN and PGI,” in Intelligent Computing and Communication Techniques, 240-246, 2025.
  7. S. Mandal, J. Jose, V. Patel, and Anil Singh Parihar, “Enhanced Indian sign language recognition using a hybrid CNN-transformer model,” in Intelligent Computing and Communication Techniques, 160-165, 2025.
  8. A. Pandey and Anil Singh Parihar, “Enhancing Cross-Modal Grounding in Vision-and-Language Navigation Through Attention Based Visual Encoder,” in 2025 3rd International Conference on Inventive Computing and Informatics …, 2025.
  9. M. Tandekar and Anil Singh Parihar, “Deep learning approaches to underwater image enhancement: Performance metrics and evaluations,” in Intelligent Computing and Communication Techniques, 431-437, 2025.
  10. K. Singh and Anil Singh Parihar, “HDVF: Hazy object detection network based on variational features,” in Smart Electric and Hybrid Vehicles, 178-189, 2024.
  11. M. Tandekar and Anil Singh Parihar, “Underwater Image Enhancement through Deep Learning and Advanced Convolutional Encoders,” in 2024 15th International Conference on Computing Communication and Networking …, 2024.
  12. P. Jain, B. Kumar Sharma, U. Gautam, Anil Singh Parihar, and Z. Siddiqui, “Do social and economic empowerment attain through mobile banking? An empirical assessment,” in E3S Web of Conferences 571, 03001, 2024.
  13. K. Singh and Anil Singh Parihar, “Image Decomposition for Object Detection in Low-light Environment,” in 2023 International Conference on Advances in Computation, Communication and …, 2023.
  14. B. Sachdeva, A. Jain, and Anil Singh Parihar, “Analysis and Review of Image Super Resolution for Low Light Enhancement,” in 2023 14th International Conference on Computing Communication and Networking …, 2023.
  15. S. Singhal, S. Singh, S. Yadav, and Anil Singh Parihar, “LTSum: legal text summarizer,” in 2023 14th International Conference on Computing Communication and Networking …, 2023.
  16. A. Pande, A. Kukretti, and Anil Singh Parihar, “Comparative Analysis of Attention-Based Sketch Recognition,” in 2023 14th International Conference on Computing Communication and Networking …, 2023.
  17. A. K. Pandey and Anil Singh Parihar, “A comparative analysis of deep learning based human action recognition algorithms,” in 2023 14th International Conference on Computing Communication and Networking …, 2023.
  18. A. Krisna, Anil Singh Parihar, A. Das, and A. Aryan, “End-to-End Model for Heavy Rain Image Captioning,” in 2022 4th International Conference on Advances in Computing, Communication …, 2022.
  19. A. Pandit and Anil Singh Parihar, “Detail Decomposition for Low Light Image Enhancement,” in 2022 4th International Conference on Advances in Computing, Communication …, 2022.
  20. A. Agarwal, M. K. Agarwal, A. Shankar, and Anil Singh Parihar, “Low-Light Image Enhancement Using Multi-Branch Deep Fusion Enhancement Network,” in 2022 4th International Conference on Advances in Computing, Communication …, 2022.
  21. Anil Singh Parihar, K. Singh, A. Ganotra, and A. Yadav, “Contrast aware image dehazing using generative adversarial network,” in 2022 2nd international conference on intelligent technologies (CONIT), 1-6, 2022.
  22. Anil Singh Parihar, J. S. Kalra, and A. Java, “Dleep Learning based Regularization as defense against Clean Label Targeted Data Poisoning,” in 2022 6th International Conference on Intelligent Computing and Control …, 2022.
  23. Anil Singh Parihar, R. Mittal, Himanshu, and P. Jain, “Video summarization using fully convolutional residual dense network,” in Sentimental Analysis and Deep Learning: Proceedings of ICSADL 2021, 47-58, 2021.
  24. S. Kumar, S. Meena, S. Khosla, and Anil Singh Parihar, “AE-DCNN: Autoencoder enhanced deep convolutional neural network for malware classification,” in 2021 International Conference on Intelligent Technologies (CONIT), 1-5, 2021.
  25. C. Jasuja, H. Gupta, D. Gupta, and Anil Singh Parihar, “SphinxNet-A Lightweight Network for Single Image Deraining,” in 2021 International Conference on Intelligent Technologies (CONIT), 1-6, 2021.
  26. H. Vaidwan, N. Seth, Anil Singh Parihar, and K. Singh, “A study on transformer-based object detection,” in 2021 international conference on intelligent technologies (CONIT), 1-6, 2021.
  27. Anil Singh Parihar and N. Tiwari, “Comparative study of fault-diagnosis models based on qos metrics in SDN,” in Computer Networks, Big Data and IoT: Proceedings of ICCBI 2020, 771-784, 2021.
  28. Anil Singh Parihar, K. Sinha, P. Singh, and S. Cherwoo, “Comparative Analysis of Traffic and Congestion in Software-Defined Networks,” in Computer Networks, Big Data and IoT: Proceedings of ICCBI 2020, 907-917, 2021.
  29. S. Raj, N. Sebastian, and Anil Singh Parihar, “Vertical feature pyramid networks,” in Smart Computing, 455-460, 2021.
  30. Anil Singh Parihar, P. Anand, A. Sharma, and A. Grover, “UndarkGAN: Low-light image enhancement with cycle-consistent adversarial networks,” in 2021 5th International Conference on Computer, Communication and Signal …, 2021.
  31. Anil Singh Parihar, A. Kaushik, A. V. Choudhary, and A. K. Singh, “HTGAN: An architecture for Hindi text based image synthesis,” in 2021 5th International Conference on Computer, Communication and Signal …, 2021.
  32. S. Kumar, S. Garg, Y. Vats, and Anil Singh Parihar, “Content based bot detection using bot language model and bert embeddings,” in 2021 5th International Conference on Computer, Communication and Signal …, 2021.
  33. Anil Singh Parihar, R. Mittal, and P. Jain, “Survey and comparison of video summarization techniques,” in 2021 5th International Conference on Computer, Communication and Signal …, 2021.
  34. S. Singhal, S. Nanduri, Y. Raghav, and Anil Singh Parihar, “LRD-Net: A lightweight deep network for low-light image enhancement,” in 2021 3rd International Conference on Signal Processing and Communication …, 2021.
  35. D. Rana, K. J. Lal, and Anil Singh Parihar, “Edge guided low-light image enhancement,” in 2021 5th international conference on intelligent computing and control …, 2021.
  36. K. Yadav, D. Mohan, and Anil Singh Parihar, “Image detection in noisy images,” in 2021 5th International Conference on Intelligent Computing and Control …, 2021.
  37. A. Kabra, A. Agarwal, and Anil Singh Parihar, “Cluster-based deep contextual reinforcement learning for top-k recommendations,” in Proceedings of the International Conference on Computing and Communication …, 2021.
  38. Anil Singh Parihar, C. Jasuja, D. Gupta, and H. Gupta, “ConvNet based single image deraining methods: A comparative analysis,” in 2021 11th International Conference on Cloud Computing, Data Science …, 2021.
  39. K. J. Lal, D. Rana, and Anil Singh Parihar, “A comparative study on CNN based low-light image enhancement,” in 2021 11th International Conference on Cloud Computing, Data Science …, 2021.
  40. Anil Singh Parihar, P. Verma, P. Bhattacharyya, and R. Goyal, “A comparative analysis of query-constrained video summarization techniques,” in 2021 6th International Conference on Inventive Computation Technologies …, 2021.
  41. D. Sethia, Anil Singh Parihar, A. Ghosh, T. Grover, D. Diwakar, S. Kumar, and U. Tyagi, “mFlameGaze: Mobile-based flame gazing for improving sustained attention,” in 2021 International Conference on COMmunication Systems & NETworkS (COMSNETS …, 2021.
  42. C. Singla, D. Bansal, H. Jain, and Anil Singh Parihar, “Applications of reinforcement learning to image enhancement: A survey,” in 2020 2nd International Conference on Advances in Computing, Communication …, 2020.
  43. Anil Singh Parihar, Y. Garg, and S. Bisht, “A hybrid approach for image denoising using explicit guided filter and collaborative wiener filter,” in 2020 2nd international conference on advances in computing, communication …, 2020.
  44. Anil Singh Parihar, A. Kaushik, A. V. Choudhary, and A. K. Singh, “A Primer on Conditional Text based Image Generation through Generative Models,” in 2020 5th IEEE International Conference on Recent Advances and Innovations in …, 2020.
  45. Anil Singh Parihar, “A study on image matting techniques,” in 2020 5th IEEE International Conference on Recent Advances and Innovations in …, 2020.
  46. Anil Singh Parihar, S. Singhal, S. Nanduri, and Y. Raghav, “A comparative analysis of deep learning based approaches for low-light image enhancement,” in 2020 5th IEEE International Conference on Recent Advances and Innovations in …, 2020.
  47. Anil Singh Parihar and G. Gupta, “Prior based single image dehazing using decision image,” in 2020 4th International Conference on Electronics, Communication and …, 2020.
  48. Anil Singh Parihar and G. Gupta, “A study on dark channel prior based image enhancement techniques,” in 2020 11th International Conference on Computing, Communication and …, 2020.
  49. Anil Singh Parihar, Y. K. Gupta, Y. Singodia, V. Singh, and K. Singh, “A comparative study of image dehazing algorithms,” in 2020 5th International Conference on Communication and Electronics Systems …, 2020.
  50. Anil Singh Parihar, A. Jain, and A. Gupta, “Citation-based scientific paper summarization using game theory,” in 2020 5th International Conference on Communication and Electronics Systems …, 2020.
  51. Anil Singh Parihar, K. Singh, H. Rohilla, G. Asnani, and H. Kour, “A comprehensive analysis of fusion-based image enhancement techniques,” in 2020 4th international conference on intelligent computing and control …, 2020.
  52. K. Pandya, D. Varshney, A. Aggarwal, and Anil Singh Parihar, “An Analytical Study of CNN-based Video Frame Interpolation Techniques,” in 2020 4th International Conference on Intelligent Computing and Control …, 2020.
  53. Anil Singh Parihar, J. Pal, and I. Sharma, “A study on multi-view video summarization techniques,” in 2nd International Conference on Communication & Information Processing (ICCIP), 2020.
  54. S. Gopal, R. Mathur, S. Deshwal, and Anil Singh Parihar, “Learning summarised messaging through mediated differentiable inter-agent learning,” in European Conference on Multi-Agent Systems, 546-557, 2020.
  55. K. Singh and Anil Singh Parihar, “A comparative analysis of illumination estimation based Image Enhancement techniques,” in 2020 International Conference on Emerging Trends in Information Technology …, 2020.
  56. Anil Singh Parihar, “Single Image Dehazing Using Non Local Atmospheric Light Estimation,” in ICICNIS, 2020.
  57. Anil Singh Parihar, “Multiscale Fusion Based Illumination Estimation for Image Enhancement,” in ICICNIS, 2020.
  58. G. Jain, S. Chopra, S. Chopra, and Anil Singh Parihar, “TransSketchNet: Attention-Based Sketch Recognition Using Transformers.,” in ECAI, 2907-2908, 2020.
  59. Anil Singh Parihar, O. P. Verma, and D. Yadav, “Image contrast enhancement using differential evolution,” in Advances in Communication, Devices and Networking: Proceedings of ICCDN 2017 …, 2018.
  60. S. Rustagi, T. Tuteja, V. Sharma, V. Gangwar, and Anil Singh Parihar, “Comparative study of various image enhancement techniques based on retinex theory and fuzzy logic,” in 2018 Second International Conference on Electronics, Communication and …, 2018.
  61. Anil Singh Parihar, “A study on sentiment analysis of product reviews,” in 2018 International Conference on Soft-computing and Network Security (ICSNS …, 2018.
  62. Anil Singh Parihar, “Histogram modification and DCT based contrast enhancement,” in 2018 2nd International Conference on Inventive Systems and Control (ICISC …, 2018.
  63. Anil Singh Parihar and K. Singh, “A study on Retinex based method for image enhancement,” in 2018 2nd International Conference on Inventive Systems and Control (ICISC …, 2018.
  64. Anil Singh Parihar, “Fuzzy Black Hole Entropy Based Clustering,” in 2017 IEEE International Conference on Computational Intelligence and …, 2017.
  65. Anil Singh Parihar, “Gaussian Mixture Model Based Adaptive Gamma Correction,” in 2017 IEEE International Conference on Computational Intelligence and …, 2017.
  66. Anil Singh Parihar, “Fuzzy adaptive gamma correction for contrast enhancement,” in 2017 International Conference on Intelligent Sustainable Systems (ICISS …, 2017.
  67. Anil Singh Parihar, “Satellite image segmentation based on differential evolution,” in 2017 International Conference on Intelligent Sustainable Systems (ICISS …, 2017.
  68. R. Katarya and Anil Singh Parihar, “Study on privacy preserving recommender systems datasets,” in 2017 International Conference on Inventive Computing and Informatics (ICICI …, 2017.
  69. Anil Singh Parihar, “A study on brain tumor segmentation using convolution neural network,” in 2017 International conference on inventive computing and informatics (ICICI …, 2017.
  70. Anil Singh Parihar, “Object tracking based hybrid context and image patching models,” in 2017 International Conference on Inventive Computing and Informatics (ICICI …, 2017.
  71. Anil Singh Parihar, M. Gupta, V. Sikka, and G. Kaur, “Dimensional analysis of objects in a 2D image,” in 2017 8th International Conference on Computing, Communication and Networking …, 2017.
  72. Anil Singh Parihar, “A Study on Motion Recognition Using Silhouette Images,” in Proceedings of the International Conference on Internet of Things and Wireless Sensor Networks (IOTWSN), pp. 249–254, 2017.
  73. S. Dokania, A. Chopra, F. Ahmad, and Anil Singh Parihar, “Hierarchy Influenced Differential Evolution: A Motor Operation Inspired Approach,” in Proceedings of the 9th International Joint Conference on Computational Intelligence (IJCCI), vol. 1, pp. 207–214, 2017.
  74. N. Agrawal, A. Pandey, Anil Singh Parihar, A. K. Mishra, M. N. Gandhi, et al., “Wear resistance and friction reduction in acrylo nitrile butadiene rubber through hybrid combination of graphite flakes and nano tungsten disulphide,” in AIP Conference Proceedings 1728 (1), 020117, 2016.
  75. N. Agrawal, Anil Singh Parihar, J. P. Singh, T. H. Goswami, and D. N. Tripathi, “Efficient nanocomposite formation of acyrlo nitrile rubber by incorporation of graphite and graphene layers: reduction in friction and wear rate,” in Procedia Materials Science 10, 139-148, 2015.
  76. Anil Singh Parihar, A. Kumar, O. P. Verma, A. Gupta, P. Mukherjee, and D. Vatsa, “Point based features for contact-less palmprint images,” in 2013 IEEE International conference on technologies for homeland security …, 2013.
  77. Anil Singh Parihar, O. P. Verma, and S. Tyagi, “An optimal fuzzy filter for Gaussian noise in color images using bacterial foraging algorithm,” in 2013 Annual International Conference on Emerging Research Areas and 2013 …, 2013.
  78. O. P. Verma, Anil Singh Parihar, and M. Hanmandlu, “Edge preserving fuzzy filter for color images,” in 2010 International Conference on Computational Intelligence and …, 2010.

BOOKS/BOOK CHAPTERS (IF ANY)

PATENTS (IF ANY)

1. US Patent (Published on Jan 4, 2025): EXTRACTION OF HIGH-VALUE SEQUENTIAL PATTERNS USING REINFORCEMENT LEARNING TECHNIQUES 
    https://patentimages.storage.googleapis.com/1d/eb/4b/d5150604075f62/US20240005146A1.pdf 

HONOURS AND AWARDS (IF ANY)

  • Research Excellence Award in Year 2022, 2023, 2024, and 2025.

SPONSORED/CONSULTANCY PROJECTS

  1. Title: "Vision Based Pose Estimation for Non-Cooperative Docking/ Inspection Satellite using Deep Learning Al Algorithms"

Role: Principal Investigator

Status: Approved

Funding Agency: ISRO

START-UPS (IF ANY)

MOOC COURSES DEVELOPED (IF ANY)

PROFESSIONAL DEVELOPMENT

ADVISEES

ANY OTHER INFORMATION