Specialization

Image Processing, Computer Vision, Machine Learning, Deep Learning and Image Forensics

Email

parveen.malik@thapar.edu

Specialization

Image Processing, Computer Vision, Machine Learning, Deep Learning and Image Forensics

Email

parveen.malik@thapar.edu

Contact No

+91-8011142971

Biography

Dr. Parveen Malik joined the ECE Department at Thapar Institute of Engineering and Technology, Patiala, in July 2024. He earned his PhD in Signal Processing from the Indian Institute of Technology Guwahati. With over five years of teaching experience, his academic focus spans image forensics, image restoration, computer vision, deep learning, and machine learning.

Education

• Ph.D. (IIT Guwahati) in Signal Processing with specialization in image processing
• B.Tech. Honors in Electronics & Communication Engineering, U.I.E.T,  M.D.University

Teaching Experience: 

• July 2024 – Present: Assistant Professor, ECE Department, Thapar Institute of Engineering & Technology, Patiala.
• July 2018 - July 2024: Assistant Professor, School of Electronics Engineering, KIIT Deemed to be University, Bhubaneswar

Subjects Taught:

• Machine Learning
• Digital Signal Processing
• Computational Intelligence
• Programming with Python and Java
• Digital Image & Video Processing 
• Principle of Digital Communication 
• Information theory & Coding 
• Electrical & Electronics Measurement 
• Microprocessor & Microcontroller 
• Neural Networks

Research Interest:

• Image Restoration & Quality Assessment
• Inverse Problems in image processing
• Image Forensics 
• Applications using Machine Learning and Deep Learning 

Publications:

Journals

1. P Malik, K. Karthik, Iterative Content Adaptable Purple Fringe Detection, Signal, Image and Video Processing, Springer Journal. DOI: 10.1007/s11760-017-1144-1
2. P. Malik, K. Karthik, Correction of complex purple fringing by green-channel compensation and local luminance adaptation, IET Image processing, 14(1), (2020), 154-167.

Conferences

1. P. Malik, Parida, M.K. (2024). Classification of Insect Pest Using Transfer Learning Mechanism. Computer Vision and Image Processing. CVIP 2023. Communications in Computer and Information Science, vol 2011. Springer, Cham. https://doi.org/10.1007/978-3-031-58535-7_7
2. P. Malik, M. K. Parida and P. S. Ganaraj, "Insect Localization and Detection using Object Detection Techniques," 2023 9th International Conference on Signal Processing and Communication (ICSC), NOIDA, India, 2023, pp. 362-367, doi: 10.1109/ICSC60394.2023.10441122.
3. P. Malik, A. Singh, C. Gorai, I. Jha and S. Paul, "Insect Classification Using Pretrained Deep Neural Networks and Transfer Learning," 2023 IEEE Silchar Subsection Conference (SILCON), Silchar, India, 2023, pp.1-6, doi: 10.1109/SILCON59133.2023.10404367.
4. P. Malik, H. Lakshakar, J. Hazra, R. Siddhant and H. Kumar, "Aircraft Defect Localization and Detection Using Object Detection Techniques," 2023 IEEE 3rd International Conference on Applied Electromagnetics, Signal Processing, & Communication (AESPC), Bhubaneswar, India, 2023, pp. 1-6, doi: 10.1109/AESPC59761.2023.10390046.
5. A. Rathee, P. Malik and M. Kumar Parida, "Network Intrusion Detection System using Deep Learning Techniques," 2023 International Conference on Communication, Circuits, and Systems (IC3S), Bhubeneswar,India, 2023, pp. 1-6, doi: 10.1109/IC3S57698.2023.10169122.
6. P. Malik and M. K. Parida, "Devanagari Characters Recognition using Deep Neural Networks," 2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT), Mandya, India, 2022, pp. 1-5, doi: 10.1109/ICERECT56837.2022.10059853.
7. P. Malik, M. k. Parida and V. Kumar, "A Machine Learning Approach to Predict the Efficiency of the Semiconductor Neutron Detector," 2022 6th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS), Bangalore, India, 2022, pp. 1-5, doi: 10.1109/CSITSS57437.2022.10026397.
8. K. Karthik, P. Malik, "Blind Quality Assessment of PFA affected Images based on Chromatic Eigenvalue Ratio", International Conference on Computer Vision and Image Processing (CVIP-2018), IIITDM Jabalpur.
9. K. Karthik, P. Malik "Purple Fringing Aberration Detection Based on Content-Adaptable Thresholds", in proceedings of International Conference on Smart System, Innovations and Computing (SSIC 2017), pages 63-71, Jaipur, India, 2018. Best Sessional Paper Award
10. P. Malik, K Karthik, "Limitation of PFA-EVENTS as a Forensic Tool", published in International Conference on Signal Processing and Integrated Networks (SPIN 2017), Noida, India, pages 3905-3908, Feb 2017
11. P. Malik, K. Karthik , "Detection of purple fringing aberration patterns and its application to forensic analysis of spliced images", published in International Conference on Advances in Computing, Communications and Informatics (ICACCI-2015), Kerala, India, pages 1421 - 1427, Aug 2015

Achievement, Awards and Recognitions

• Dr. Radhakrishan Fellowship during 1st and 2nd year of B.Tech, 2005-07
• U.I.E.T. M.D university: B.Tech.  Honors in ECE with 1st Rank
• Best Paper Award during SSIC -2017 Conference
• Henry Harvin Education Certified Financial Analytics Practitioner Award 
• Master Trainer in High Performance Computing (CDAC Pune)