Dr. Mukesh Dalal

Assistant Professor-I

Specialization

Information Security

Email

mukesh.dalal@thapar.edu

Specialization

Information Security

Email

mukesh.dalal@thapar.edu

Biography

Mukesh Dalal is currently  working as Assistant Professor in Thapar Institute of Engineering and Technology, Patiala in the Electrical and Computer Engineering program of the Electrical and Instrumentation Department. She has done her Ph.D. (Thesis Submitted) from UIET, Panjab University, Chandigarh. Her research interest includes information security, steganography, image and video processing. She has published several research papers in peer- reviewed international journals.

Education

  1. Ph.D. in Computer Science and Engineering from UIET, Panjab University, Chandigarh in 2023

  2. M. Tech in Computer Science and Engineering from Choudhary Devi Lal University, Sirsa in 2013.
  3. B. Tech in Information Technology from Kurukshetra University, Kurukshetra in 2010.

Experience:

  1. Assistant Professor, Computer Science and Engineering Department, Thapar University Patiala, India (February, 2023 - present)
  2. Visiting Faculty, Amity School of Engineering and Technology, Mohali, Punjab, India (October, 2022- January, 2023)
  3. Assistant Professor, Computer Science and Engineering Department, Manav Institute of Engineering and Management, Hisar, Haryana, India ( August, 2013- November, 2014)

Teaching Interests:

  1. Artificial Intelligence
  2. Operating System
  3. Data Structure

Research Interest:

  1. Steganography
  2. Steganalysis
  3. Image and Video Processing

Publications:

Journals

  1. Mukesh Dalal and Mamta Juneja, “Steganalysis of DWT Based Steganography Technique for SD and HD Videos”, Wireless Personal Communications, 1-12, 2022 (SCIE, Impact Factor- 2.017)
  2. Mukesh Dalal and Mamta Juneja, “A survey on information hiding using video steganography”, Artificial Intelligence Review, 54(8), 5831-5895, 2021 (SCI/SCIE, Impact Factor- 9.588)
  3. Mukesh Dalal and Mamta Juneja, “Steganography and Steganalysis (in digital forensics): a Cybersecurity guide”, Multimedia Tools and Applications, 80(4), 5723-5771, 2021 (SCIE, Impact Factor- 2.577)
  4. Mukesh Dalal and Mamta Juneja, “A secure and robust video steganography scheme for covert communication in H. 264/AVC”, Multimedia Tools and Applications, 80(9), 14383-14407, 2021 (SCIE, Impact Factor- 2.577)
  5. Mukesh Dalal and Mamta Juneja, “A robust and imperceptible steganography technique for SD and HD videos” Multimedia Tools and Applications, 78(5), 5769-5789, 2019 (SCIE, Impact Factor- 2.577)
  6. Mukesh Dalal and Mamta Juneja, “A secure video steganography scheme using DWT based on object tracking”, Information Security Journal: A Global Perspective, 31(2), 196-213, 2022 (Scopus-Indexed)
  7. Mukesh Dalal and Mamta Juneja, “Evaluation of orthogonal and biorthogonal wavelets for video steganography”, Information Security Journal: A Global Perspective, 29(1), 40-50, 2020 (Scopus-Indexed)
  8. Mukesh Dalal and Mamta Juneja, “Video steganalysis to obstruct criminal activities for digital forensics: a survey”, International Journal of Electronic Security and Digital Forensics, 10(4), 338-355, 2018 (Scopus-Indexed)

International Conferences:

  1. Mukesh Dalal and Mamta Juneja, “Video steganography techniques in spatial domain—a survey”, In Proceedings of the International Conference on Computing and Communication Systems (pp. 705- 711). Springer, Singapore, 2018.
  2. Mukesh Dalal and Mamta Juneja, “Overview of Video Steganography in Compressed Domain”, In Proceedings of the International Conference on Intelligent Computing and Applications (ICICA 2016), Springer, 2016.

Achievement, Awards and Recognitions

  1. Qualified Graduate Aptitude Test in Engineering (GATE) in Computer Science & Information Technology in 2012.
  2. Received PhD research fellowship under TEQIP III grant.
  3. Got Research Award for the publication in an SCI/SCIE indexed journal in the year 2019 at Panjab University, Chandigarh.
  4. Reviewer of IEEE Transactions on Circuits and Systems for Video Technology, Artificial Intelligence Review (Springer) and Information Security Journal: A Global Perspective (Taylor & Francis)

Message to Students & Community

Failures are the Pillars of Success.

 

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