Dr. Rudresh Dwivedi is an Assistant Professor in Department of Computer Science and Engineering at NSUT Dwarka. He has worked at Pandit Deendayal Petroleum University (PDPU) Gandhinagar where he has been since 2019.  Before joining PDPU, he worked as a Research Fellow for a SERB-DST project entitled "Design and Development of Efficient Cancelable Template Generation Methods for Fingerprint and Iris Biometrics". He received his Ph.D. in Computer Science from Discipline of Computer Science and engineering, Indian Institute of Technology, Indore in 2019 and M.Tech. degree in Computer Technology from the National Institute of Technology, Raipur in 2013. His research interests span over biometrics, pattern recognition and applied deep learning & applications.  

Teaching expertise: Database systems, Computer Architecture and organization, Deep Learning, Computer vision, Game theory and applications.

Papers in Peer-Reviewed Journals:

 1. R. Dwivedi, Devam Dave, Het Naik, Smiti Singhal, Omer F. Rana, Pankesh Patel, Bin Qian, Zhenyu Wen, Tejal Shah, Graham Morgan, Rajiv Ranjan, “Explainable AI (XAI): Core Ideas, Techniques, and Solutions”. ACM Computing Surveys Vol. 55(9), pp.1-33 (2023).

2. R. Dwivedi, T. Dutta, Y. Hu, “A Leaf Disease Detection Mechanism Based on L1-Norm Minimization Extreme Learning Machine”. IEEE Geoscience and Remote Sensing Letters, Vol. 19, pp. 1-5 (2022).

3. R. Dwivedi, S. Dey, M. Sharma, A. Goel, “A fingerprint based crypto-biometric system for secure communication", Journal of Ambient Intelligence and Humanized Computing, vol. 11(4), pp. 1495-1509 (2020).

4. R. Dwivedi, S. Dey, “A novel hybrid score level and decision  level fusion scheme for cancelable multi-biometric verification", Applied Intelligence, Springer, Vol. 49, no. 3, pp. 1016-1035, (2019).

5. R. Dwivedi, S. Dey, “Securing fingerprint template using non-invertible ridge feature transformation", Journal of Electronic Imaging, SPIE, vol.27, no.5, pp.1-17, 2018.

6. R. Dwivedi, S. Dey, “Score-level fusion for cancelable multi-biometric verification", Pattern Recognition Letters, vol. 126, pp. 58-67 (2019).

7. R. Dwivedi, S. Dey, R. Singh, A. Prasad, “A privacy-preserving cancelable iris template generation scheme using decimal encoding and look-up table mapping", Computers & Security, Elsevier, Vol. 65, pp. 373 – 386, 2017. 

Papers in Refereed Conferences:

 1. R. Dwivedi, S. Dey, “Coprime mapping transformation for protected and revocable fingerprint template generation", in Proc. of 5th  International Conference on Mining Intelligence and Knowledge Exploration, Hyderabad, India, Dec. 13 – 15, 2017, pp. 111–122.

2. R. Dwivedi, S. Dey, “Cancelable iris template generation using look-up table mapping", in Proc. of 2nd IEEE International Conference on Signal Processing and Integrated Networks, Noida, India, Feb. 19 – 20, 2015, pp.785-790.

3. Rudresh Dwivedi, Varun Pandya, Parthiv Shah, “Touchless Fingerprint Recognition based on Hierarchical Clustering”. International Conference on Machine Vision &Applications, 2021, pp.8-13.

4. Shubham Tiwari, Yash Sethia, Ashwani Tanwar, Harsh Kumar, Rudresh Dwivedi, “An Approach to Real-Time Indian Sign Language Recognition and Braille Script Translation”. 16th International Conference on Signal Image Technology & Internet based Systems, 2022, pp. 267-274.

5. Parit Mehta, Rudresh Dwivedi, Ciaran Feeney, Pankesh Patel, Muhammad Intizar Ali, John G. Breslin, “Towards Designing an Explainable-AI based Solution for Livestock Mart Industry”. The ACM India Joint International Conference on Data Science and Management of Data (CODS-COMAD) 2021, pp. 421.

6. Aman Shah, Dev Shah, Devanshi Shah, Daksh Chordiya, Nishant Doshi, Rudresh Dwivedi, “Blood Bank Management and Inventory Control Database Management System”. The 12th International Conference on Emerging Ubiquitous Systems and Pervasive Networks (EUSPN), 2021, pp. 404-409.

7. Shubham Tiwari, Yash Sethia, Ashwani Tanwar, Ritesh Kumar, Rudresh Dwivedi: “FRLL-Beautified: A Dataset of Fun Selfie Filters with Facial Attributes”. 4th International Conference on Deep Learning Theory and Applications, 2023, pp. 456-465.

8.  A. Kumar, R. Jain, R. Dwivedi, “Weed Detection in Crops Using Lightweight EfficientNets”. In: International Conference on Communication and Intelligent Systems. 2022, Lecture Notes in Networks and Systems, vol 686. Springer, Singapore.

 Book Chapters:

 1. D. Dave, H. Naik, S. Singhal, R. Dwivedi, P. Patel, “Explainable AI for ICT: System and Software Architecture”, In: Chaturvedi, M., Patel, P., Yadav, R. (eds), Recent Advancements in ICT Infrastructure and Applications, 2022, Studies in Infrastructure and Control. Springer, Singapore.

2. R. Dwivedi, S. Dey, “Case Studies: Cancelable Biometric-Based Secure Systems”. In: Chaturvedi, M., Patel, P., Yadav, R. (eds) Recent Advancements in ICT Infrastructure and Applications. 2022, Studies in Infrastructure and Control. Springer, Singapore.