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

Google Scholar (h-index: 11, i10-index: 11): https://scholar.google.com/citations?user=yAz2d5EAAAAJ&hl=en

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

Web of Science ResearcherID: MVT-4982-2025

Scopus ID: 57202989817

PhD Scholars:

1. Lavendra Gautam (24/PhDCO/01, Full-Time, 2024 to ____): TBD

2. Mukesh Kumar (24/PhDCO/06, 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, pp. 378-389, Volume 74, Issue 1, January 2025. (IF: 6.1). DOI: https://doi.org/10.1109/TVT.2024.3459632
  2. Md Hasnat Hosen Arafat, Kavinder Singh, "Capturing spatiotemporal dependencies with competitive set attention for video summarization," The Visual Computer (Accepted, IF: 3.0). DOI: https://doi.org/10.1007/s00371-025-03865-1
  3. Sudeep Kumar Acharjee, Kavinder Singh, Anil Singh Parihar, "QLight-Net: Quaternion based low light image enhancement network," Journal of Visual Communication and Image Representation, pp. 104478, Volume 110, July 2025 (IF: 2.6). DOI: https://doi.org/10.1016/j.jvcir.2025.104478
  4. Kavinder Singh, and Anil Singh Parihar,”BFF: Bi-Stream Feature Fusion for Object Detection in Hazy Environment,” Signal, Image and Video Processing, Volume 18, pp. 3097-3107, June 2024. (IF: 2.3). DOI: https://doi.org/10.1007/s11760-023-02973-6
  5. 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
  6. 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
  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, January 2024 (IF: 3.6). DOI: https://doi.org/10.1007/s11042-023-15908-7
  8. 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
  9. 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
  10. 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

Funded Projects:

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

Role: CO-PI

Status: Approved

Funding Agency: ISRO

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)
3. MD HASNAT HOSEN ARAFAT (23/AFI/32): "SPATIO-TEMPORAL ATTENTION FRAMEWORK FOR VIDEO SUMMARIZATION." (2023 to 2025)
4. VIVEK SAMAD (23/CSE/18): "FUZZY METHOD FOR UNDERWATER IMAGE ENHANCEMENT." (2023 to 2025)
5. JYOTI PANDEY (24/AFI/10): TBD (2024 to 2026)
6. RISHIKA GUPTA (24/AFI/27): TBD (2024 to 2026)
7. NARULA VIVEK (24/RCO/09): TBD (2024 to 2026)

Professional Memberships

• Member of The Institute of Electrical and Electronics Engineers (IEEE) with Membership No. 96128912.

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.

Academic/Administrative Responsibilities

• Coordinator, DTU-Innovation and Incubation Foundation.
• Co-Faculty Advisor of DTU Self driving car project. 
• Faculty Coordinator for MS-199 (Community Engagement) [Mentoring School Students].
• Co-Incharge of Machine Learning Research Lab, CSE Dept., DTU.
• Member of Mid Semester Exam Organizing Committee, CSE Dept. DTU (2023-24, 2024-25).
• Member of ISO Team, CSE Dept., DTU.

Conferences/FDPs/Workshops/Seminars Organized

• Coordinator of Two-Day Workshop on "Applications of Artificial Intelligence and Deep Learning in Various Domains" organized by Department of Computer Science and Engineering, DTU during 28th April 2025 to 29th April 2025.
• Coordinator of One week Short Term Training Programme on “Introduction to High Performance Computing and its Applications in AI” organized by Department of Computer Science and Engineering, DTU in association with CDAC, Pune during 7th August 2023 to 11th August 2023.
• Coordinator of Six week "Summer School on AI: Deep Dive into Deep Learning" organized by Department of Computer Science and Engineering, DTU during 10 June August 2024 to 19 July 2024.

Conferences/FDPs/Workshops/Seminars Attended

• Participated in One week Faculty Development Programme on “Advanced Teaching Pedagogy and Outcome-based Education in Context of NEP-2020” organized by Human Resource Development Centre, DTU in association with NITTTR Bhopal during 27th May 2024 to 31st May 2024 in DTU.
• Completed Two weeks Industrial Training on Cyber Security and Networking during 6th July 2023 to 22nd July 2023 organized by BSNL ALTTC Centre, Ghaziabad (U.P.).
• Participated in One week Short Term Course on “Machine Learning and Deep Learning for AI Applications” organized by Department of Information Technology, Delhi Technological University from 5th June to 9th June 2023.
• Participated in Training Programme for Faculty Members conducted at Delhi Technological University by HRDC, DTU on 29-30th November 2021.
• Attended Webinar on "Entrepreneurship and Innovation as Career Opportunity" organized by Computer Science and Engineering Department, Delhi Technological University on 24th November 2021.
• Completed the following Online Eight Teacher Training Modules of National Initiative of Technical Teachers Training (NITTTR) in September 2021:
  • a. Module 1: Orientation Towards Technical Education and Curriculum Aspects
  • b. Module 2: Professional Ethics and Sustainability
  • c. Module 3: Communication Skills, Modes and Knowledge Dissemination
  • d. Module 4: Instructional Planning and Delivery
  • e. Module 5: Technology Enabled Learning and Life-long Self Learning
  • f. Module 6: Student Assessment and Evaluation
  • g. Module 7: Creative Problem Solving, innovation and Meaningful R&D
  • h. Module 8: Instructional Management and Administrative Procedures.