• Medical Imaging
• Computer Vision 
• IoT 
• UAVs
• Instrumentation
• Blockchain with AI

[1]  Course co-developer for the course on Intelligent Instrumentation in the pilot phase of National  Mission  Project on Education through ICT.

[2] Zonal Coordinator for RoboTryst 2016 organized by Robosapiens Technologies Pvt. Ltd.

Journals:

1.  Pammi Kumari and Priyank Saxena, “Cataract detection and visualization based on multi-scale deep features by RINet tuned with cyclic learning rate hyperparameter” Biomedical Signal Processing and Control (2023).    https://doi.org/10.1016/j.bspc.2023.105452  (SCIE, IF 5.1)
2. R.K. Diwakar, Pammi Kumari, Priyank Saxena, et al., “An efficient multitasking cascade network for arteriovenous segmentation using dual-modal fundus images”, Multimedia Tools &  Applications (2023). https://doi.org/10.1007/s11042-023-17343-0  (SCIE, IF 3.6)
3. Pammi Kumari and Priyank Saxena “Disease localization and its prediction from retinal fundus images using explicitly designed deep learning architecture”, Multimedia Tools & Applications (2023), DOI: 10.1007/s11042-023-16585-2 (SCIE, IF 3.6)
4. Priyank Saxena and R. S. Kumar, “Efficient Restoration of Magnetic Resonance Images Corrupted with Impulse Noise using Spatial Constraints based Fuzzy Decision Filter,” Journal of Scientific & Industrial Research, Vol. 82, pp. 642-651, June 2023,   DOI: 10.56042/jsir.v82i06.1971  (SCIE, IF 0.6)
5. Pammi Kumari and Priyank Saxena “Automated Diabetic Retinopathy Grading based on the Modified Capsule Network Architecture”, IETE Journal of Research, https://doi.org/10.1080/03772063.2023.2185304 (SCIE, IF 1.5)
6. Priyank Saxena and R. S. Kumar, “A locally adaptive edge preserving filter for denoising of low dose CT using multi-level fuzzy reasoning concept”, International Journal of Biomedical Engineering & Technology, Vol. 31, No. 4, pp 388-404, 2019. (Scopus)
7. Priyank Saxena and R. S. Kumar “An Effective Filter for Noise Removal in Magnetic Resonance Images Using Multilevel Fuzzy Reasoning Concept”, Journal of Clinical Engineering, Vol. 42, No. 3, pp 121-135, 2017.  (Scopus)
8. Snehil Baba, Pammi Kumari, Priyank Saxena, “ Retinal Disease Classification Using Custom CN  Model From OCT Images” in International Conference on Machine Learning and Data Engineering  (ICMLDE), November 22-23, 2023, UPES, Dehradun.  (Proceedings to be published by Procedia Computer Science-Scopus Journal)

Conferences:

1. Pammi Kumari and Priyank Saxena, “PathologicMyopia Detection and Visualization Based on Multi-Scale Deep Features by PMnet Tuned with Cyclic Learning Rate Hyperparameter”, in 8th International Conference on Computing in Engineering and Technology (ICCET 2023), July 14-15, 2023, NIT, Patna. DOI:  https://doi.org/10.1049/icp.2023.1515
2. Junaid Gouher, Sushmita Upadhyay, Sanjaya Shankar Tripathy, Priyank Saxena, “Automated detection of Alzheimer's using Transfer learning models based on the Motion sensor Data”, in International Conference on Data Science and Intelligent Applications ICDSIA-2023, Vol. 15, No. 1, pp-288-295.
3. Pammi Kumari and Priyank Saxena “Automated Detection and Multistage Classification of Diabetic Retinopathy through CNN” International Conference on Applied Computational Intelligence and Analytics (ACIA-2022), February 26-27, 2022, NIT, Raipur.
4. Abhinav Kumar and Priyank Saxena, “Quantification of Cartilage loss for Automatic Detection and Classification of Osteoarthritis using Machine Learning approach”, 10^th ICCCNT , July 6-8, 2019, IIT, Kanpur.
5. Priyank Saxena, P. P. Dash and Neerav Sharma, “GCD based Blind Super-Resolution for Remote Sensing Applications’, 2nd International conference on Power, Energy and Environment: Towards Smart Technology, June 1-2, 2018, NIT, Meghalaya.
6. Priyank Saxena, S. S. Tripathy, S. S. Solanki, and R. S. Kumar, “PNN Implementation of Content-Based Image Retrieval using Descriptors Hierarchy”, International Conference of Content-Based Image Retrieval, PESIT, July 16-18, 2008, Bengaluru, India.

Book Chapter:

1. Priyank Saxena and R. S. Kumar “Restoration of CT Images corrupted with fixed valued impulse noise using an optimum decision-based filter”, in Intelligent Multidimensional Data and Image Processing, Pennsylvania: IGI Global, 2018, pp 220-239. 

• Deep learning-based healthcare framework for IoT-based assistance of Alzheimer patients funded by DST Under National Mission on Cyber-Physical Systems, Amount: 5.64 lakhs, Ongoing from November 2022, Role- Co-PI

Consultancy Project:

• Development of a fire announcement system for mining applications, Amount: Rs. 2.0 lakhs from MIMEC Electronics Pvt. Ltd., Ranchi. (Ongoing from May 2023)