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Vinod Pankajakshan

Associate Professor

Email : vinod.pankajakshan[at]ece.iitr.ac.in
Phone: 01332-285898

Signal Processing, Image & Video Processing, Multimedia Forensics

FromToDesignationOrganisation
20072008Research FellowMultimedia Forensics & Security Research Group, Department of Computing, University of Surrey, UK
20082008Associate LecturerDepartment of Computing, University of Surrey, UK
20092011Post-Doctoral ResearcherImage & Video Communications Research Group, IRCCyN, Polytech Nantes, France
20112023Assistant ProfessorIIT Roorkee
2023–Associate ProfessorIIT Roorkee
DegreeSubjectUniversityYear Studied
PhDElectronics & Communication Engg.IIT Guwahati2008
M.TechSignal ProcessingIIT Guwahati2002
B.TechElectronics & Communication Engg.Govt. Engineering College (RIT), Kerala1999
AwardInstituteYear Awarded
Outstanding Teacher AwardIIT Roorkee2016
Outstanding Teacher AwardIIT Roorkee2020
FromToDesignationOrganisationLevel
20172020Director’s Nominee, Institute Sports CouncilIIT RoorkeeInstitute
2020–Faculty Advisor, Students’ Sports Organization and Students’ ClubIIT RoorkeeInstitute
2020–Coordinator, FIT INDIA MovementIIT RoorkeeInstitute

Membership Details

  • IEEE Information Forensics & Security Technical Committee, Affiliate Member
  • IEEE, Senior Member
  • IEEE Signal Processing Society, Member
TitleCourse CodeCourseSemester
Fundamentals of ElectronicsEC 102B.Tech 2nd Sem.Spring
Linear CircuitsEC 201BTech 3rd sem.Autumn
Signals and SystemsECN-203BTech 4th Sem.Spring
Principles of Digital CommunicationEC-212B.Tech 4th Sem.Spring
Communication Systems and TechniquesECN-311B.tech 5th Sem.Autumn
Digital Signal ProcessingECN-312B.Tech 6th Sem.Spring
Telecommunication Switching , Networks & ProtocolsEC 413BTech 7th sem.Autumn
Digital Image ProcessingECN-316B.Tech 5th SemAutumn
TopicScholar NameStatus of PhDRegistration Year
IMAGE FORENSICS BASED ON JPEG COMPRESSION ARTIFACTSDinesh BhardwajAwarded2013
ANOMALY DETECTION AND LOCALIZATION IN SURVEILLANCE VIDEOSAvinash RatreAwarded2015
FORENSICS OF DECOMPRESSED JPEG IMAGESChothmal KumawatAwarded2015
EFFICIENT DATA AGGREGATION SCHEMES FOR WIRELESS SENSOR NETWORKSEbin M. ManuelAwarded2019
VIDEO FORENSICSBhati Sathish HarjibhaiOngoing2020
AUDIO-VIDEO FORENSICSKumar Shubham SinghOngoing2020

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 (2023)
  • 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

  • Kumar Shubham Singh and Vinod Pankajakshan, “A Video Source Identification Method Using Deep Learning , 2024 International Conference on Signal Processing and Communications (SPCOM), 2024.
  • 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.