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Academic Experts
Academic Experts
Dr. Abhishek Kashyap
ASSOCIATE PROFESSOR
abhishek.kashyap@jiit.ac.in
Biography

Dr. Abhishek Kashyap is an Associate Professor in the Department of Electronics and Communication Engineering at Jaypee Institute of Information Technology (JIIT), Noida, India. He earned his B.Tech. in Electronics and Communication Engineering from UPTU, Lucknow (2009), M.Tech. in Communication Engineering from IIT Delhi (2013), and Ph.D. in Digital Image Forensics (2018). Joining JIIT in 2013 as an Assistant Professor, Dr. Kashyap has advanced through his exemplary contributions in teaching, research, and academic leadership. His expertise lies in signal and image processing, machine learning, deep learning, and digital forensics, with a focus on robust algorithms for image forgery detection, multimedia integrity verification, and pattern recognition. He has published extensively in leading journals and conferences such as IEEE Access, The Computer Journal (Oxford University Press), and Journal of Forensic Sciences. His funded projects from SERB, Unnat Bharat Abhiyan, and industry collaborations have delivered practical solutions, including real-time image forgery detection systems and ICU monitoring applications. A dedicated reviewer for premier journals like IEEE Access, IEEE Transactions on Computers, and IEEE Transactions on Circuits and Systems for Video Technology, Dr. Kashyap actively mentors Ph.D. and graduate students. His work bridges cutting-edge research and real-world deployment, making a significant impact in multimedia forensics and signal processing.

Research Highlights

Dr. Abhishek Kashyap specializes in signal and image processing, machine learning, deep learning, and digital image forensics, with a focus on robust image forgery detection and multimedia authenticity verification. He develops robust, scalable detection frameworks by integrating classical signal processing methods, such as Discrete Wavelet Transform (DWT), Error Level Analysis (ELA), and statistical texture descriptors with advanced machine learning and optimized deep neural network architectures to uncover subtle manipulation cues like noise inconsistencies, frequency artifacts, and compression traces. His work progressed from handcrafted feature engineering with SVM, Random Forest, and ensemble models to deep learning-based CNN and hybrid systems capable of detecting complex, real-world forgeries. Complementing his algorithmic innovations, he has built real-time detection platforms with React-based interfaces and Flask backends for practical forensic use. Supported by SERB, Unnat Bharat Abhiyan, and industry collaborations, his interdisciplinary projects have produced impactful solutions, including UAV detection systems, portable water purification units, and ICU monitoring applications. By combining theoretical rigor with practical deployment, Dr. Kashyap’s work significantly advances the integrity and authenticity of digital media in an era of sophisticated manipulation.

Areas Of Interest
  • Image Processing
  • Signal Processing
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • Medical Image Processing
Publications

International Journals:

  1. D. Joshi, A. Kashyap, P. Arora, “Optimized detection and localization of copy-rotate-move forgeries using biogeography-based optimization algorithm,” Journal of Forensic Sciences, vol. 70, issue 4, pp. 1392-1413, July 2025, https://doi.org/10.1111/1556-4029.70068.
  2. Sandhya and A. Kashyap, “A Statistical Analysis for Deepfake Video Forgery Traces Recognition followed by a Fine tuned Inception ResNetV2 Detection Technique,” Journal of Forensic Sciences, vol. 70, issue 1, pp. 349-368, January 2025, https://doi.org/10.1111/1556-4029.15665.
  3. Sandhya and A. Kashyap, “A Light Weight DS-Layer Optimized CNN Architecture for Object Based Forgery Detection in Surveillance Videos,” The Computer Journal, vol. 67, issue 6, Pages 2270-2285, June 2024, https://doi.org/10.1093/comjnl/bxae005.
  4. Sandhya and A. Kashyap, “A comprehensive analysis of digital video forensics techniques and challenges,” Iran Journal of Computer Science, vol. 7, pp. 359-380, 2024, https://doi.org/10.1007/s4/2044-023-00165-6.
  5. Sandhya and A. Kashyap, “A novel method for real-time object-based copy-move tampering localization in videos using fine-tuned YOLO V8,” Forensic Science International: Digital Investigation,vol. 48, 301663, 2024, https://doi.org/10.1016/j.fsidi.2023.301663.
  6. Sandhya and A. Kashyap, “Real-time object removal tampering localization in surveillance videos by employing YOLO-V8,” Journal of Forensic Sciences, vol. 69, Issue 4, pp. 1304-1319, July 2024, https://doi.org/10.1111/1556-4029.15516.
  7. A. Kashyap, K. D. Tyagi and V. B. Tyagi, “Robust and Optimized Algorithm for Detection of Copy-Rotate-Move Tempering,” IEEE Access, vol. 11, pp. 66626-66640, 2023, doi: 10.1109/ACCESS.2023.3291128.
  8. Kashyap A., Agarwal M., Gupta H., “Robust Detection of Copy-Move Forgery based on Wavelet Decomposition and Firefly Algorithm,” The Computer Journal, The Oxford University Press, Volume 65, Issue 4, Pages 983-996, April 2022.
  9. Kashyap A., Suresh B., Gupta H., “Detection of splicing forgery using differential evolution and wavelet decomposition,” The Computer Journal, The Oxford University Press, Volume 63, Issue 11, Pages 1727-1737, November 2020.
  10. Kashyap A., Agarwal M., Gupta H., “Detection of Copy-move Image forgery using SVD and Cuckoo Search,” International Journal of Engineering and Technology (UAE), Vol 7, No 2.13, pp. 79-87, 2018.
  11. Kashyap A., Agarwal M., Gupta H., “Detection of Copy-Rotate-Move forgery using Wavelet Decomposition and Zernike moments," International journal of pure and applied mathematics, Vol. 119, No. 12, pp. 12955-12967, 2018.
  12. Kashyap A., Parmar S. R., Agarwal M., Gupta H., “An Evaluation of Digital Image Forgery Detection Approaches,” International Journal of Applied Engineering Research,. Vol. 12, No. 15, pp. 4747-4758, 2017.
  13. Parmar S. R., Kashyap A., Agarwal M., Gupta H., “A novel and compact UWB (Ultra wide band)-bandpass filter using split ring resonator,” International Journal of microwave and optical Technology, USA, Vol. 4, July 2016.

International Conferences:

  1. A. Kashyap, B. Suresh and K. D. Tyagi, “Detection of Counterfeit Currency Through SURF and Haar Cascade Classifier,” in 2023 9th International Conference on Signal Processing and Communication (ICSC), NOIDA, India, 2023, pp. 296-301, doi: 10.1109/ICSC60394.2023.10441382.
  2. A. Kashyap, K. D. Tyagi and P. Singh, “CRNN-based UAV Detection using Acoustic Signature,” in 2023 IEEE International Symposium on Smart Electronic Systems (iSES), Ahmedabad, India, 2023, pp. 186-190, doi: 10.1109/iSES58672.2023.00046.
  3. Arup S. Bhaumik; Satyendra Kumar; A. Kashyap et al., “Reduction of Subthreshold Leakage Using Metal Strip in SGO Double-Gate MOSFET,” in 2023 9th International Conference on Signal Processing and Communication (ICSC), NOIDA, India, 2023, pp. 769-773, doi: 10.1109/ICSC60394.2023.10441253.
  4. Sandhya and A. Kashyap, “Object based Forgery Detection in Surveillance Videos using Optimized CNN,” in 2022 8th International Conference on Signal Processing and Communication (ICSC), Noida, India, 01-03 December 2022, pp. 451-457, doi:10.1109/ICSC56524.2022.10009279.
  5. A. Kashyap, B. Suresh, A. Patil, S. Sharma and A. Jaiswal, “Automatic Number Plate Recognition,” in IEEE International Conference on Advances in Computing, Communication Control and Networking (ICACCCN 2018), Noida, 12-13 October 2018, pp. 838-843.
  6. G. Sravanthi, G. Madhuri, N. Sharma, A. Tiwari, A. Kashyap and B. Suresh, “Voice Recognition Application Based Home Automation System with People Counter,” in IEEE International Conference on Advances in Computing, Communication Control and Networking (ICACCCN 2018), Noida, 12-13 October 2018, pp. 574-578.
  7. Kashyap A., Parmar S. R., Suresh B., Agrawal M., Gupta H., “Detection of Digital Image Forgery using Wavelet Decomposition and Outline Analysis,” in IEEE International Conference on and communication (ICSC 2016), Noida, 26-28 December 2016, pp. 187-190.
  8. Kashyap A., Suresh B., Agrawal M., Gupta H. Joshi S. D., “Detection of splicing forgery using Wavelet Decomposition,” in IEEE International Conference on Computing, Communication and Automation (ICCCA 2015), Noida, 15-16 May 2015, pp. 843-848.
  9. Kashyap A., Joshi S. D., “Detection of copy-move forgery using wavelet decomposition,” in IEEE International Conference on Signal Processing and Communication (ICSC 2013), Noida, 12-14 December 2013, pp. 396-400.