Ruchira Naskar
Indian Institute of Engineering Science and Technology, National Institute of Technology Rourkela
0000-0001-6826-940X
About
Dr. Ruchira Naskar is an Associate Professor in the department of Information Technology, IIEST, Shibpur. She is a Ph.D. in Computer Science and Engineering and an M.Tech in Information Technology, both from IIT Kharagpur, in 2014 and 2010, respectively. Prior to joining IIEST, she was affiliated with NIT Rourkela as an Assistant Professor in the Department of Computer Science and Engineering, from 2014 to 2019.
Primary areas of her research interest are in the domains of multimedia security and digital forensics. She solves Digital Forensic problems through Computer Vision and Pattern Recognition techniques.
She has contributed to the domains of forensics, multimedia security and image processing, in forms of multiple journal and conference publications, authored books, book chapters, Indian patent and copyright. She has received SERB Power Grant, BRNS Young Scientist Research Award, and Early Career Research Award from SERB, and is associated with multiple research projects funded by agencies such as BRNS, DST, CSIR, SERB, Govt. of India.
Employment
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Indian Institute of Engineering Science and Technology Associate Professor2019 - Present
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National Institute of Technology Rourkela Assistant Professor2014 - 2019
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (472)
- Bias-Free? An Empirical Study on Ethnicity, Gender, and Age Fairness in Deepfake Detection Save
- Spatial flatness-curvature mask driven generalized detection of synthetic images Save
- Robust DSSA-Net framework for splicing detection in image encryption domain Save
- Federated Learning for Better Generalization in Synthetic Facial Image Detection Save
- Low-Latency Inline Automated Optical Inspection in Electronics Manufacturing Using a Dual-Path Encoder–Decoder Mixture-of-Experts Framework Save
- Robust Deepfake Detection Using STFT Based Phase Features of Physiological Signals Save
- Evaluating the substitutability of generative AI-generated faces in biometric applications: From a lens of age, gender, ethnicity detection Save
- Multi-level feature fusion for generalized face forgery detection Save
- Kol-4-Gen: Stacked Kolmogorov-Arnold and Generative Adversarial Networks for Malware Binary Classification Through Visual Analysis Save
- A multiscale attention network model utilizing ResNext architecture for detection and localization of image splicing attack Save