Birla Institute of Technology, Mesra
Dr. Jamimamul Bakas
, Computer Science and Engg
Ph.D 		Contact Address
Permanent Address VILL- Bablabaona, P.O.- K.M.Para, DIST- Murshidabad, West Bengal - 742308
Local Address TH 6 & 7, Tanzania Hostel, BIT Mesra, Ranchi - 835215
Phone (Office) 0
Phone Residence 0
Email Id jamimamul.bakas@bitmesra.ac.in
Joined Institute on : 30-Mar-2023
  Work Experience
 
Teaching : 2 Years

Research : 7 Years

Individual: 1 Years
  Professional Background
  1. Assistant Professor at SR University, Warangal, Telengana. Duration: March 2021 – December 2021 
    • Subject Taught: Machine Learning
  2. Assistant Professor at Kalinga Institute of Industrial Technology (KIIT), Bhubaneswar, Odisha. Duration: December 2021- March 2023
    • Subjects Taught: Cyber Security, Web Technology, Design and Analysis of Algorithms, Cryptography
  Research Areas
 

Multimedia Forensics, Medical Image Processing, Computer Vision, Machine Learning
  Award and Honours
 
  • Recipient of “ICISS'18 travel scholarship”, to present a research paper at ICISS 2018 held at IISC Bangalore, Bengaluru, December, 2018
  • Selected for Research Presentation in the Doctoral Symposium of PReMI 2019 held at Tezpur University, Tezpur Assam, December, 2019
  • Received SRF Fellowship of Board of Research in Nuclear Sciences (BRNS), Department of Atomic Energy (DAE), Govt. of India, from December 2016 to March 2019.
  • Received Institute Ph.D. Fellowship, National Institute of Technology Rourkela, from April 2019 to September 2020.
  Publications
 

Journals

  1. J. Bakas, R. Naskar and R. Dixit, "Detection and localization of inter-frame video forgeries based on inconsistency in correlation distribution between Haralick coded frames", Multimedia Tools and Applications, Springer, vol. 78, no. 4, pp. 4905-4935, 2019, doi: 10.1007/s11042-018-6570-8.
  2. J. Bakas, S. Ramachandran and R. Naskar, “Double and Triple Compression-based Forgery Detection in JPEG Images using Deep Convolutional Neural Network", SPIE Journal of Electronic Imaging, vol. 29, no. 2, 023006, 2020, doi: 10.1117/1.JEI.29.2.023006.
  3. J. Bakas, R. Naskar, S. Bakshi, “Detection and Localization of Inter-Frame Forgeries in Digital Videos based on Macroblock Variation and Motion Vector Analysis", Computer and Electrical Engineering, Elsevier, vol. 89, 106929, 2021, doi: doi.org/10.1016/j.compeleceng.2020.106929.
  4. J. Bakas, R. Naskar, M. Nappi and S. Bakshi, “Object based Forgery Detection in Surveillance Video using Capsule Network”, Journal of Ambient Intelligence and Humanized Computing, Springer, 14, 3781–3791, 2021, doi: doi.org/10.1007/s12652-021-03511-3

Conferences

  1. J. Bakas and R. Naskar, "A Digital Forensic Technique for Inter-Frame Video Forgery Detection based on 3D CNN", 14th International Conference on Information Systems and Security (ICISS) 2018, IISc Bangalore. Proceedings published in Lecture Notes in Computer Science (LNCS), vol. 11281, pp. 304-317.
  2. J. Bakas, P. Rawat, K. Kokkalla and R. Naskar, "Re-compression based JPEG Tamper Detection and Localization using Deep Neural Network, Eliminating Compression Factor Dependency", 14th International Conference on Information Systems and Security (ICISS) 2018, IISc Bangalore. Proceedings published in Lecture Notes in Computer Science (LNCS), vol. 11281, pp. 318-341.
  3. J. Bakas, A. K. Bashaboina, and R. Naskar, "MPEG Double Compression Based Intra-Frame Video Forgery Detection using CNN." International Conference on Information Technology (ICIT). IEEE, 2018, 8724275, pp. 221 - 226, doi: 10.1109/ICIT.2018.00053.
  4. M. Raj, J. Bakas, "Detection of Object-based Forgery in Surveillance Videos utilizing Motion Residual and Deep Learning." 19th International Conference on Distributed Computing and Intelligent Technology (ICDCIT), Proceedings published in Lecture Notes in Computer Science, vol 13776, pp. 141- 148, Springer, Cham. https://doi.org/10.1007/978-3-031-24848-1_10
  Text and Reference Books
 

Book

  • R. Naskar, V. U. Sameer, R. Dixit, J. Bakas, “Digital Forensics: Current Trends and Practices” Studium Press (India), ISBN 13: 978-93-85046-48-3, 2019.

Book Chapters

  • S. Chinara, R. Naskar, J. Bakas, S. N. Mishra “Illegitimate EPR Modification: A major threat in IoT based healthcare system and its remedy through blind forensic measures", in Dr. S. Pal (ed.), ”IoT: Security and Privacy Paradigm", CRC Press, ISBN 9780367253844, 2020.
  • J. Bakas, R. Naskar “Detection and Localization of Double-Compressed Forged Regions in JPEG Images Using DCT Coefficients and Deep Learning–Based CNN", in S. Roy, R. Chakraborty, J. Mathew, A. Mazumdar, S. Chakraborty (ed.), ” Artificial Intelligence and Deep Learning for Computer Network", Chapman and Hall/CRC, ISBN 9781003212249, 2023.