Ph.D. in Computer Science and Engineering, Indian Institute of Technology (BHU), Varanasi, India. (2021)
M. Tech. in Computer Science and Engineering, MMM University of Technology (formerly MMMEC), Gorakhpur, India. (2017)
B.Tech. in Computer Science and Engineering, Dr. APJ Abdul Kalam Technical University (formerly UPTU), Lucknow, India (2014)
Digital Image Processing and Computer Vision, Machine Learning, Deep Learning, Artificial Intelligence
March 2023 - till date: Assistant Professor, School of Engineering, Jawaharlal Nehru University (JNU), Delhi, India.
August 2022 - February 2023: Assistant Professor, Computer Science and Engineering, Thapar Institute of Engineering and Technology, Patiala, India.
September 2021 - July 2022: Assistant Professor, Computer Science and Engineering, Bennett University (Times Group), Greater Noida, India.
June 2014 – July 2015: Assistant Programmer, Sun Integrated Technologies and Applications, New Delhi
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Best paper award, ICDAM-2022 at The Karkonosze University of Applied Sciences, Jelenia Gora, Poland.
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Received JRF Award Letter (2020-2023) provided by University Grant Commission (India),
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Research Assistantship (Junior Research Fellowship) from July 2017 to July 2019.
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Research Assistantship (Senior Research Fellowship) from August 2019 to June 2021.
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Post Graduate Scholarship (GATE) during session 2015-2017.
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1. Aman Kumar, Ankit Kumar Jaiswal, “A Review of Emerging Image Encryption Techniques, Challenges, and Future Directions: From Classical Cryptography to AI-Driven” Archives of Computational Methods in Engineering, Springer 1-47. https://doi.org/10.1007/s11831-026-10765-7 (2026).
2. Shruti Singh, Lavish Kumar Singh, Annu Jaiswal and Ankit Kumar Jaiswal, “Design and Implementation of a Benchmark-Driven MCDM Framework for Eliminating Rank Reversal in Decision-Making”. International Journal of System Assurance Engineering and Management, Springer (2026).
3. Archana Singh, Ankit Kumar Jaiswal, “An analysis of deepfake technology: A systematic review of creation, detection, and mitigation”. Applied Soft Computing, Volume 201, Part B, 2026, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2026.115644.
4. Ankit Kumar Jaiswal and Rajeev Srivastava, “Fake region identification in an image using deep learning segmentation model” Multimedia Tools and Applications (2023) https://doi.org/10.1007/s11042-023-15032-6.
5. Ankit Kumar Jaiswal and Rajeev Srivastava, “Detection of copy-move forgery in digital image using multi-scale, multi-stage deep learning model” Neural Processing Letters. (2021) https://doi.org/10.1007/s11063-021-10620-9.
6. Ankit Kumar Jaiswal and Rajeev Srivastava, “Forensic image analysis using inconsistent noise pattern” Pattern Analysis and Applications (2020). https://doi.org/10.1007/s10044-020-00930-4
7. Ankit Kumar Jaiswal and Rajeev Srivastava, “Time Efficient Spliced Image Analysis Using Higher-Order Statistics” Machine Vision and Applications 31, 56 (2020). https://doi.org/10.1007/s00138-020-01107-z.
8. Ankit Kumar Jaiswal and Rajeev Srivastava, “A Technique for Image Splicing Detection Using Hybrid Feature Set” Multimedia Tools and Applications (2020) 79:11837–11860, https://doi.org/10.1007/s11042-019-08480-6.
1. Aman Kumar, Ankit Kumar Jaiswal, “A Review of Emerging Image Encryption Techniques, Challenges, and Future Directions: From Classical Cryptography to AI-Driven” Archives of Computational Methods in Engineering, Springer 1-47. https://doi.org/10.1007/s11831-026-10765-7 (2026).
2. Shruti Singh, Lavish Kumar Singh, Annu Jaiswal and Ankit Kumar Jaiswal, “Design and Implementation of a Benchmark-Driven MCDM Framework for Eliminating Rank Reversal in Decision-Making”. International Journal of System Assurance Engineering and Management, Springer (2026).
3. Archana Singh, Ankit Kumar Jaiswal, “An analysis of deepfake technology: A systematic review of creation, detection, and mitigation”. Applied Soft Computing, Volume 201, Part B, 2026, ISSN 1568-4946, https://doi.org/10.1016/j.asoc.2026.115644.
Ankit Kumar Jaiswal, and Rajeev Srivastava, “A System to Reduce Errors for Digital Image Forgery Detection and Method thereof”, Indian Patent (Granted).