Medical image processing, Pattern recognition and Communication system engineering

10 years

Medical image processing, Face recognition and classification, Image fusion

1. Seed grand fund, TEQIP, VSSUT, Burla
2. Collaborative Research and Innovation Scheme, TEQIP – III, VSSUT, Burla

International Publications

1. B. Meher, S. Agrawal, R. Panda, L. Dora, and A. Abraham, Visible and infrared image fusion using an efficient adaptive transition region extraction technique, Engineering Science and Technology an International Journal, 2021.
2. B. Meher, S. Agrawal, R. Panda, Lingraj Dora, and A. Abraham, A novel region‐based multimodal image fusion technique using improved dictionary learning. International Journal of Imaging Systems and Technology, 2019, Article in press.
3. S. Agrawal, R. Panda, S. Kumari, Lingraj Dora, and A. Abraham, A New Hybrid Multifocus Image Fusion Model Using Single Optimum Gabor, International Information and Engineering Technology Association, Vol. 33 (2), pp. 111 – 118, 2019.
4. Lingraj Dora, Sanjay Agrawal, Rutuparna Panda and Ajith Abraham, Nested Cross-Validation Based Adaptive Sparse Representation Algorithm and Its Application to Pathological Brain Classification, Expert Systems With Applications, Vol. 114, pp. 313 - 321, 2018.
5. Lingraj Dora, Sanjay Agrawal, Rutuparna Panda and Ajith Abraham, State of the Arts Methods for Brain Tissue Segmentation: A Review, IEEE Reviews in Biomedical Engineering, Vol. 10, pp. 235 - 249, 2017.
6. Lingraj Dora, Sanjay Agrawal, Rutuparna Panda and Ajith Abraham, Optimal Breast Cancer Classification Using Gauss-Newton Representation Based Algorithm, Expert Systems With Applications, Vol. 85, pp. 134 - 145, 2017.
7. Lingraj Dora, Sanjay Agrawal, Rutuparna Panda and Ajith Abraham, An Evolutionary Single Gabor Kernel Based Filter Approach to Face Recognition, Engineering Applications of Artificial Intelligence, Vol. 62, pp. 286 - 301, 2017.
8. Sanjay Agrawal, Rutuparna Panda and Lingraj Dora, A Study on Fuzzy Clustering for Magnetic Resonance Brain Image Segmentation Using Soft Computing Approaches, Applied Soft Computing, Vol. 24, pp. 522 - 533, 2014.
9. Pranab Kumar Mishro, Sanjay Agrawal, Lingraj Dora and Rutuparna Panda, A Fuzzy C-Means Clustering Approach to HMRF-EM Model for MRI Brain Tissue Segmentation, In 6th International conference on CERA, IIT Roorkee, India, 2017.
10. Lingraj Dora and Nurusingha Prasad Rath, Face Recognition by Regularized-LDA Using PRM, In IEEE International Conference on Advances in Recent Technologies in Communication & Computing, Kerala, India, 2010.

1. Lingraj Dora, Sanjay Agrawal and Rutuparna Panda, AI Techniques for Biomedical Engineering Applications, In LAMBERT Academic Publishing, Germany, ISBN - 978-620-0-23723-1, 2019.
2. Sanjay Agrawal, LeenaSamantaray, Rutuparna Panda and Lingraj Dora, A New Hybrid Adaptive Cuckoo Search-Squirrel Search Algorithm for Brain MR Image Analysis, Hybrid Machine Intelligence for Medical Image Analysis, SPRINGER, Vol. 841, ISBN: 978-981-13-8930-6, pp. 85 – 117, 2019.
3. Lingraj Dora, Sanjay Agrawal, Rutuparna Panda and Ajith Abraham, A Novel Optimal Gabor Algorithm for Face Classification, Advances in Intelligent Systems and Computing book series (AISC, volume 817), pp. 821 - 832, 2018.
4. Lingraj Dora, Sanjay Agrawal and Rutuparna Panda, Gauss-Newton Representation Based Algorithm for Magnetic Resonance Brain Image Classification, Advances in Intelligent Systems and Computing book series (AISC, volume 736), pp. 294 - 304, 2017.
5. Lingraj Dora, Sanjay Agrawal and Rutuparna Panda, BFO-RLDA: A New Classification Scheme for Face Images Using Probabilistic Reasoning Model, Lecture Notes in Computer Science book series (LNCS, volume 8297), pp. 88 - 97, 2013.
6. Sanjay Agrawal, Supriya Swain and Lingraj Dora, BFO-ICA Based Multi Focus Image Fusion, In IEEE Symposium on Swarm Intelligence (SIS), ISBN: 978-1-4673-6004-3, pp. 194 - 199, 2013.
7. Sanjay Agrawal, Rutuparna Panda and Lingraj Dora, An Efficient Algorithm for Multi-Focus Image Fusion Using PSO-ICA, Lecture Notes in Computer Science book series (LNCS, volume 7076), pp. 159 - 166, 2011.

1. Member, Board of Studies Committee, Dept. of EEE (Feb. 2020 – Till date)
2. Member, Committee for equity assurance plan, TEQIP-III, VSSUT, Burla (2020 – Till date)
3. NBA Co-ordinator, Dept. of EEE (Jan. 2020 – Till date)
4. DAC member, Dept. of EEE, VSSUT, Burla (Jan. 2020 – Till date)
5. DPC member, Dept. of EEE, VSSUT, Burla (Jan. 2020– Till date)
6. Academic Council member (Jan. 2019 – Jan. 2020)
7. Member, Purchase committee central stores (Mar. 2019 – Mar. 2021)
8. Member, SRIC committee, VSSUT, Burla (2019 – 2020)
9. Faculty advisor, Dept. of EE and EEE (2017 – 2018)
10. Programme officer, NSS (2016 – 2018)
11. Faculty advisor, Robotics club (2016 – 2017)
12. Course coordinator, Skill development programme (27.06.16 – 02.07.16)
13. Time table in-charge, Dept. of EE & EEE (2011 – 2016)
14. Member in new syllabus preparation, Dept. of EE & EEE (2015 & 2019)
15. Teacher in-charge, EC Lab development, Dept. of EE & EEE (2011)
16. Teacher in-charge, MPMC Lab development, Dept. of EE & EEE

Training courses, teaching –learning evaluation technology programmes, faculty development programmes (not less than one-week duration)