Deepak   Singh

Department Computer Science & Engineering
Designation Assistant Professor Grade - I
Educational Qualification PhD Computer Science and Engineering
E-Mail dsingh.cs@nitrr.ac.in
Contact Number 919827916708
Areas of Interest

Domain Adaptation, Evolutionary Computation, Transfer Learning

Publications
1 Kumar, K. S., Singh, D., & Anand, V. (2025). FSAIL: Fault-Resilient Single Anchor Based Iterative Localization Scheme in Underwater Acoustic Sensor Network for IoUT Application. Wireless Personal Communications, 1–29. Springer.
2 Kumar, A., & Singh, D. (2025). Bi-level Deep Feature Synthesis Through Variational Autoencoder For Predicting Peptide Antiviral Activity Using Optimized Deep Ensemble. Expert Systems with Applications, 128093. Elsevier.
3 Shukla, A. K., Dwivedi, S., Singh, D., Singh, S. K., Tripathi, D., & Dewangan, R. K. (2025). Optimized breast cancer diagnosis using self-adaptive quantum metaheuristic feature selection. Scientific Reports, 15(1), 19900. Nature Publishing Group UK.
4 Kumar, K. S., Singh, D., & Anand, V. (2024). Dcaro: Dynamic cluster formation and AUV-aided routing optimization for energy-efficient UASNs. Peer-to-Peer Networking and Applications, 1–18. Springer.
5 Kumar, K. S., Singh, D., & Anand, V. (2024). Strategic Node Deployment Scheme for Maximizing Coverage Area and Network Lifetime in UASNs using Voronoi-Fuzzy C-Means and Salp Swarm Optimization. IEEE Sensors Journal. IEEE.
6 Kumar, A., & Singh, D. (2024). Generative Adversarial Network-Based Augmentation with Noval 2-step Authentication for Anti-coronavirus Peptide Prediction. IEEE/ACM Transactions on Computational Biology and Bioinformatics. IEEE.
7 Shukla, A., Tripathi, S., Sajwan, M., & Singh, D. (2024). SEE2PK: Secure and energy efficient protocol based on pairwise key for hierarchical wireless sensor network. Peer-to-Peer Networking and Applications, 17(2), 701–721. Springer.
8 Rathor, V. S., Singh, D., Singh, S., & Sajwan, M. (2023). Multi-Objective Optimization Based Test Pattern Generation for Hardware Trojan Detection. Journal of Electronic Testing, 39(3), 371–385. Springer.
9 Kshatri, S. S., & Singh, D. (2023). Convolutional Neural Network in Medical Image Analysis: A Review. Archives of Computational Methods in Engineering, 30(4), 2793–2810. Springer.
10 Yusuf, M. O., Srivastava, D., Singh, D., & Rathor, V. S. (2023). Multiview deep learning-based attack to break text-CAPTCHAs. International Journal of Machine Learning and Cybernetics, 14(3), 959–972. Springer.
11 Singh, S., Singh, D., Sajwan, M., Rathor, V. S., & Garg, D. (2022). Hyperspectral image classification using multiobjective optimization. Multimedia Tools and Applications, 81(18), 25345–25362. Springer.
12 Shukla, A., Singh, D., Sajwan, M., Kumar, M., Kumari, D., Kumar, A., & Panthi, M. (2022). SLP-RRFPR: a source location privacy protection scheme based on random ring and limited hop fake packet routing for wireless sensor networks. Multimedia Tools and Applications, 81(8), 11145–11185. Springer.
13 Shukla, A., Singh, D., Sajwan, M., Verma, A., & Kumar, A. (2022). A source location privacy preservation scheme in WSN-assisted IoT network by randomized ring and confounding transmission. Wireless Networks, 28(2), 827–852. Springer.
14 Singh, D., Shukla, A., & Sajwan, M. (2021). Deep transfer learning framework for the identification of malicious activities to combat cyberattack. Future Generation Computer Systems, 125, 687–697. North-Holland.
15 Kshatri, S. S., Singh, D., Narain, B., Bhatia, S., Quasim, M. T., & Sinha, G. R. (2021). An empirical analysis of machine learning algorithms for crime prediction using stacked generalization: An ensemble approach. IEEE Access, 9, 67488–67500. IEEE.
16 Shukla, A. K., Pippal, S., Singh, D., & Reddy, S. R. (2021). An evolutionary-based technique to characterise an anomaly in internet of things networks. International Journal of Internet Technology and Secured Transactions, 11(5–6), 452–469. Inderscience Publishers.
17 Singh, D., & Singh, S. (2020). Realising transfer learning through convolutional neural network and support vector machine for mental task classification. Electronics Letters, 56(25), 1375–1378. IET.
18 Singh, D., Sisodia, D. S., & Singh, P. (2020). Compositional framework for multitask learning in the identification of cleavage sites of HIV-1 protease. Journal of Biomedical Informatics, 102, 103376. Academic Press.
19 Singh, D., Sisodia, D. S., & Singh, P. (2020). Multiobjective evolutionary-based multi-kernel learner for realizing transfer learning in the prediction of HIV-1 protease cleavage sites. Soft Computing, 24, 9727–9751. Springer.
20 Singh, D., Sisodia, D. S., & Singh, P. (2019). Compositional model based on factorial evolution for realizing multi-task learning in bacterial virulent protein prediction. Artificial Intelligence in Medicine, 101, 101757. Elsevier.
21 Singh, D., Sisodia, D. S., & Singh, P. (2019). Cognitive framework for HIV-1 protease cleavage site classification using evolutionary algorithm. Arabian Journal for Science and Engineering, 44, 9007–9027. Springer.
22 Singh, D., Singh, P., & Sisodia, D. S. (2019). Evolutionary based ensemble framework for realizing transfer learning in HIV-1 Protease cleavage sites prediction. Applied Intelligence, 49, 1260–1282. Springer.
23 Singh, D., Sisodia, D. S., & Singh, P. (2018). Multi-Objective Evolutionary Approach for the Performance Improvement of Learners Using Ensembling Feature selection and Discretization Technique on Medical Data. Current Medical Imaging Reviews.
24 Singh, D., Singh, P., & Sisodia, D. S. (2018). Evolutionary based optimal ensemble classifiers for HIV-1 protease cleavage sites prediction. Expert Systems with Applications, 109, 86–99. Pergamon.
25 Singh, V., Singh, D., Tiwari, R., & Shukla, A. (2012). MDABC: Motif Discovery Using Artificial Bee Colony Algorithm. Journal of Information Technology Research, 5(4), 30–47. IGI Global.
Other Info.

List of Patents

Patent No. 544422: A System for Protein Classification Based on Signal Processing

 

List of projects implemented/being implemented by the investigator

Project Title

Funding

Agency

Duration

Sanction Cost

PIs/Co-PI

name

Cognition Analysis for Learning Enhancement with Brain Computing Interface

NIT Raipur Seed Grant

3 Years

Rs. 5,00,000/-

Dr. Deepak Singh (PI)

Trust Tribe: A Secured and Intelligent decentralized app (Dapp) for Major Stakeholder in Tribal Arts supply chain for Bastar Tribes

 

Rajya Niti Aayog

12 Months

Rs. 5,00,000/-

Dr. Deepak Singh PI

V-app : A dedicated volunteer management android app for UNICEF volunteers

Unicef

12 Months

Rs 3,75,000/-

Dr. Deepak Singh PI