Room No. 310-C, Academic Block - 4, Delhi Technological University, Shahbad, Daulatpur, Main Bawana Road, Delhi-110042, India.

Google Scholar (h-index: 9): https://scholar.google.com/citations?user=yAz2d5EAAAAJ&hl=en

Orcid: https://orcid.org/0000-0002-2278-5270

PhD Scholars:

1. Lavendra Gautam (Full-Time, 2024 to ____): TBD

2. Mukesh Kumar (Part-Time, 2024 to ____): TBD

Publications:

• SCI(E) Journal Publications:
  1. Rewat Sachdeva, Raghav Gakhar, Sharad Awasthi, Kavinder Singh, Ashutosh Pandey and Anil Singh Parihar, "Uncertainty and Noise Aware Decision Making for Autonomous Vehicles - A Bayesian Approach," IEEE Transactions on Vehicular Technology (Accepted, IF: 6.1). DOI: https://doi.org/10.1109/TVT.2024.3459632
  2. Kavinder Singh, and Anil Singh Parihar, "Variational optimization-based single image dehazing, " Journal of Visual Communication and Image Representation, pp. 1-8, Volume 79, August 2021 (IF: 2.6). DOI: https://doi.org/10.1016/j.jvcir.2021.103241
  3. Kavinder Singh, and Anil Singh Parihar, ”Illumination Estimation for Nature Preserving low-light image enhancement,” The Visual Computer, Volume 40, pp. 121-136, January 2024. (IF: 3.5) DOI: https://doi.org/10.1007/s00371-023-02770-9
  4. Kavinder Singh, and Anil Singh Parihar, ”DSE-Net: Deep simultaneous estimation network for low-light image enhancement,” Journal of Visual Communication and Image Representation, Volume 91, pp. 103780, March 2023 (IF: 2.6). DOI: https://doi.org/10.1016/j.jvcir.2023.103780
  5. Kavinder Singh, and Anil Singh Parihar,”BFF: Bi-Stream Feature Fusion for Object Detection in Hazy Environment,” Signal, Image and Video Processing (Accepted, IF: 2.3). DOI: https://doi.org/10.1007/s11760-023-02973-6
  6. Kavinder Singh and Anil Singh Parihar, ”MRN-LOD: Multi-exposure Refinement Network for Low-light Object Detection”, Journal of Visual Communication and Image Representation, Volume 99, pp. 104079, March 2024 (IF: 2.6). DOI: https://doi.org/10.1016/j.jvcir.2024.104079
  7. Kavinder Singh, Ashutosh Pandey, Akshat Agarwal, Mohit Kumar Agarwal, Aditya Shankar, and Anil Singh Parihar, " FRN: Fusion and recalibration network for low-light image enhancement", Multimedia Tools Applications, Volume 83, pp. 12235–12252, 2024 (IF: 3.6). DOI: https://doi.org/10.1007/s11042-023-15908-7
  8. Anil Singh Parihar, Kavinder Singh, Hrithik Rohilla, and Gul Asnani, "Fusion-based simultaneous estimation of reflectance and illumination for low-light image enhancement", IET Image Processing, Volume 15, pp. 1410-1423, 2021 (IF: 2.3). DOI: https://doi.org/10.1049/ipr2.12114 
• Conference Publications:
  1. Anil Singh Parihar, and Kavinder Singh, “A study on Retinex Based method for Image Enhancement,” IEEE 2nd International Conference on Inventive Systems and Control (ICISC 2018), 19-20 January, Pichanur, India, pp. 619 - 624. DOI: https://doi.org/10.1109/ICISC.2018.8398874
  2. Anil Singh Parihar, Yash Kumar Gupta, Yash Singodia, Vibhu Singh, and Kavinder Singh, "A Comparative Study of Image Dehazing Algorithms," 2020 5th International Conference on Communication and Electronics Systems (ICCES), Coimbatore, India, 2020, pp. 766-771. DOI: https://doi.org/10.1109/ICCES48766.2020.9138037
  3. Kavinder Singh, and Anil Singh Parihar, "A comparative analysis of illumination estimation based Image Enhancement techniques," 2020 International Conference on Emerging Trends in Information Technology and Engineering (ic-ETITE), Vellore, India, 2020, pp. 1-5. DOI: https://doi.org/10.1109/ic-ETITE47903.2020.195
  4. Anil Singh Parihar, Kavinder Singh, Hrithik Rohilla, Gul Asnani, and Harpreet Kour, "A Comprehensive Analysis of Fusion-based Image Enhancement Techniques," 2020 4th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2020, pp. 823-828. DOI: https://doi.org/10.1109/ICICCS48265.2020.9120999
  5. Hritik Vaidwan, Nikhil Seth, Anil Singh Parihar, and Kavinder Singh, "A study on transformer-based Object Detection," 2021 International Conference on Intelligent Technologies (CONIT), Hubli, India, 2021, pp. 1-6. DOI: https://doi.org/10.1109/CONIT51480.2021.9498550
  6. Angad Sethi, and Kavinder Singh, "Natural Language Processing based Automated Essay Scoring with Parameter-Efficient Transformer Approach," 2022 6th International Conference on Computing Methodologies and Communication (ICCMC), Erode, India, 2022, pp. 749-756. DOI: https://doi.org/10.1109/ICCMC53470.2022.9753760
  7. Anil Singh Parihar, Kavinder Singh, Aryan Ganotra, and Aviral Yadav, "Contrast Aware Image Dehazing using Generative Adversarial Network," 2022 2nd International Conference on Intelligent Technologies (CONIT), Hubli, India, 2022, pp. 1-6. DOI: https://doi.org/10.1109/CONIT55038.2022.9847710
  8. Kavinder Singh, Vishruth Khare, Vishwas Agarwal, and Sourabh, "Weakly Supervised Image Dehazing Using Generative Adversarial Networks," 2022 4th International Conference on Advances in Computing, Communication Control and Networking (ICAC3N), Greater Noida, India, 2022, pp. 870-875. DOI: https://doi.org/10.1109/ICAC3N56670.2022.10074393
  9. Kavinder Singh, Vishruth Khare, Vishwas Agarwal, and Sourabh, "A Review on GAN based Image Dehazing," 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2022, pp. 1565-1571. https://doi.org/10.1109/ICICCS53718.2022.9788377
  10. Kavinder Singh, Aditi, Amar Kumar Jaiswal, and Ananya Shivam, "A Comprehensive Study on Data-Driven Fake News Detection Methods," 2022 6th International Conference on Intelligent Computing and Control Systems (ICICCS), Madurai, India, 2022, pp. 1501-1507. DOI: https://doi.org/10.1109/ICICCS53718.2022.9788406

M.Tech Students:

1. DEEPANKER RAWAT (2K21/AFI/08): "FUSION BASED GENERATIVE ADVERSARIAL NETWORK FOR SINGLE IMAGE DEHAZING." (2021 to 2023)
2. SNEHA KUMARI (2K22/CSE/30): "ATTENTION NETWORK FOR DEEP FAKE DETECTION." (2022 to 2024)

Expert Talks:

• On "Data and Ethics in Machine Learning" Faculty Development Program (FDP) on"Recent Trends in Machine Learning" organized by Mangalmay Institute of Engineering & Technology, Noida, in on 4th January 2024.
• On "Convolution Neural Networks in Deep Learning" Faculty Development Program (FDP) on"Recent and Emerging Trends in Artificial Intelligence" organized by Mangalmay Institute of Engineering & Technology, Noida, in on 11th October 2024.
• On "Generative Adversarial Networks" in One Week Short-Term Training Program (STTP) on "Introduction to High Performance Computing and its Application in Artificial Intelligence (HPC-AI)" organized by Dept. of Computer Science & Engineering, Delhi Technological University, Delhi in Association with CDAC Pune, on 10th August 2023.