Journal

• Ebin M. Manuel, Vinod Pankajakshan, and Manil T. Mohan, "Energy-efficient Data Aggregation in Low-power Wireless Networks with Sensors of Discrete Transmission Ranges : A Mathematical Framework for Network Design", IEEE Transactions on Network Science and Engineering (accepted)
• Ebin M. Manuel, Vinod Pankajakshan, and Manil T. Mohan, “Efficient Strategies for Signal Aggregation in Low-Power Wireless Sensor Networks with Discrete Transmission Ranges”, IEEE Sensors Letters (2023)
• Ebin M. Manuel, Vinod Pankajakshan, and Manil. T. Mohan , "Data Aggregation in Low-Power Wireless Sensor Networks with Discrete Transmission Ranges : Sensor Signal Aggregation over Graph",  IEEE Sensors Journal (2022) 
• Ebin M. Manuel, Vinod Pankajakshan, and Manil. T. Mohan , "Networking of Sensors with Fixed Transmission Ranges : Distributed Data Processing over Graphs",  IEEE Networking Letters (2022) 
• Chothmal Kumawat and Vinod Pankajakshan , "A JPEG Forensic Detector for Color Bitmap Images",  IEEE Open Journal of Signal Processing (2021) 
• D. Bhardwaj and Vinod Pankajakshan, “An Approach to Expose Dithering in JPEG Anti- Forensics”, Forensic Science International (2021)
• Cothmal Kumawat and Vinod Pankajakshan , "A Robust JPEG Compression Detector for Image Forensics",  Signal Processing : Image Communication (2020)
• Dinesh Bhardwaj and Vinod Pankajakshan , "A JPEG Blocking Artifact Detector for Image Forensics",  Signal Processing : Image Communication (2018) 
• Avinash Ratre and Vinod Pankajakshan, "Tucker tensor decomposition based tracking and Gaussian mixture model for anomaly detection in surveillance videos", IET Computer Vision (2018)
• Avinash Ratre and Vinod Pankajakshan, “Tucker visual search-based hybrid tracking model and Fractional Kohonen Self-Organizing Map for anomaly localization and detection in surveillance videos,” The Imaging Science Journal (2018)
• Dinesh Bhardwaj and Vinod Pankajakshan, "Image Overlay Text Detection Based on JPEG Truncation Error Analysis", IEEE Signal Processing Letters (2016)
• Vinod Pankajakshan , Gwenael Doerr, and Prabin K Bora, “Detection of Motion Incoherent Components”, IEEE Transactions on Information Forensics & Security,  (2009)
• Vinod Pankajakshan and Prabin K Bora, “Motion-Compensated Inter-Frame Collusion attack on Video Watermarking and a Countermeasure”, IEE Proceedings - Information Security (2006)    

Conference / Workshop

• Avinash Ratre and Vinod Pankajakshan, "Deep Imbalanced Data Learning Approach for Video Anomaly Detection, 28th National Conference on Communications (NCC), 2022.
• Chothmal Kumawat and Vinod Pankajakshan, "Forensics of Decompressed JPEG Color Images Based on Chroma Subsampling, 27th National Conference on Communications (NCC), 2021.
• A. Ravi Tej, Shirsendu Halder, Arunav Shandeelya and Vinod Pankajakshan, "Enhancing Perceptual Loss with Adversarial Feature Matching for Super-Resolution", IEEE World Congress on Computational Intelligence (WCCI), Glasgow, 2020. 
• Joydeep Das, Reshmin Patel and Vinod Pankajakshan, "Brain Tumor Segmentation Using Discriminator Loss", 25th National Conference on Communications (NCC), IISc Bangalore, February 2019.
• A. Ravi Tej, R. Raviteja and Vinod Pankajakshan, "A Randomized Kernel-based Image Secret Sharing Scheme", IEEE 10th International Workshop on Information Forensics and Security (WIFS), Hong Kong, December 2018. https://arxiv.org/pdf/1810.00181.pdf
• Prakhar Singh and Vinod Pankajakshan, "A Deep Learning Based Technique for Anomaly Detection in Surveillance Videos", 24th National Conference on Communications (NCC), IIT Hyderabad, February 2018. 
• Shreyas Vishwanathan and Vinod Pankajakshan, "A Deep Learning Architecture for Brain Tumor Segmentation in MRI Images", IEEE 19th International Workshop on Multimedia Signal Processing (MMSP), London, UK, October 2017.
• Dinesh Bhardwaj, Chothmal Kumawat and Vinod Pankajakshan, "A Method for Detecting JPEG Anti-Forensics", National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics, IIT Mandi, 2017.