Updated list of publications: Google Scholar | Scopus | ResearchGate

List of Journal:

• Anita Murmu, Naween Kumar, Surbhi B. Khan, Eid Albalawi, Ahlam Almusharraf, Awad Albalawi, “SU-FTD2: Transformer-Driven Brain Tumor Imaging Framework using Explainable AI for Consumer Applications,” IEEE Transactions on Consumer Electronic. [IF:10.9, InPress]
• Anita Murmu, Piyush Kumar, Nageswara Rao Moparthi, Suyel Namasudra, Pascal Lorenz, “Reliable federated learning with GAN model for robust and resilient future healthcare system,” IEEE Transactions on Network and Service Management, 2024. [IF: 5.4, Published]
• Anita Murmu, Piyush Kumar, Suyel Namasudra, and M Rajasekhar Reddy, “GAN-based Federated Adversarial Learning for enhancing security towards Consumer digital Ecosystem,” IEEE Transaction on Consumer Electronics, 2025. [IF:10.9, Published]
• Anita Murmu, Naween Kumar, Akansha Singh, Krishna Kant Singh, “A Privacy-Preserving Healthcare System Using Secure Federated Learning and Blockchain for Industry 5.0,” IEEE Communications Standards Magazine, 2025. [Published]
• Anita Murmu, and Piyush Kumar, “GIFNet: An Effective Global Infection Feature Network for Automatic COVID-19 Lung Lesions Segmentation,” Medical & Biological Engineering & Computing, 2024. [SCI, IF:2.6, Published]
• Mobashshirur Rahman, Anita Murmu, Piyush Kumar, Nageswara Rao Moparthi, Suyel Namasudra, “A Novel Compression-based 2D-Chaotic Sine Map for Enhancing Privacy and Security of Biometric Identification Systems,” Journal of Information Security and Applications, 2024. [SCIE, IF:3.8, Published]
• Anita Murmu, and Piyush Kumar, “A novel Gateaux Derivatives with Efficient DCNN-ResUNet Method for Segmenting Multi-class Brain Tumor,” Medical & Biological Engineering & Computing, 2023. [SCI, IF:2.6, Published]
• Anita Murmu, and Piyush Kumar, “DLRFNet: Deep Learning with Random Forest Network for Classification and Detection of Malaria Parasite in Blood Smear,” Multimedia Tools and Applications, 2024. [Scopus, Published]
• Anita Murmu, Piyush Kumar, Shrikant Malviya, “CRDL-PNet: An Efficient DeepLab-based Model for Segmenting Polyp Colonoscopy Images,” International Journal of Image, Graphics and Signal Processing (IJIGSP), 2024. [Scopus, Published]
• Anita Murmu, and Piyush Kumar, “A novel GAN with DBA sequences and hash-based approach for improving Medical Image Security,” International Journal of Image, Graphics, and Signal Processing, 2023. [Scopus, Published]
• Anita Murmu, and Piyush Kumar, “A Novel GAN-based Chaotic method with DNA Computing for Enhancing Security of Medical Images,” International Journal of Computer Network and Information Security, 2023. [Scopus, Published]
• Anita Murmu, and Piyush Kumar, “Automated breast nuclei feature extraction for segmentation in histopathology images using Deep-CNN-based gaussian mixture model and color optimization technique,” Multimedia Tools and Applications, 2025. [Scopus, Published]
• Anita Murmu, and Piyush Kumar, “DNASNet-RF: Automated Deep NAS-network with Random Forest for Classifying and Detecting Multi-class Brain Tumor,” Book Chapter, Taylor and Francis, CRC Press. [Published]

List of Conference:

• Anita Murmu, Rajiv Murmu, and Piyush Kumar, “PolySegResUNet: Polyp Segmentation Residual Unet-based Model for Colonoscopy Images,” 15^th International IEEE Conference on Computing, Communication and Networking Technologies (ICCCNT) - 2024, 24^th -28^th June 2024 | IIT- Mandi, Himachal Pradesh, India. (Presented and published)
• Anita Murmu, Mobashshirur Rahman, and Piyush Kumar, “A Novel Chaos and DNA Computing for Medical Image Encryption,” 6^th International Conference on Computational Intelligence in Communications and Business Analytics (CICBA-2024), NIT Patna, Bihar, India. (Presented and published)
• Anita Murmu, Sangeeta Kumari, and Rajiv Murmu, “Automated multi-class brain tumor classification using deep learning-based network for MRI dataset,” International conference on Data-Processing and Networking (ICDPN-2024), 25th - 26th October 2024, Czech Republic, Europe, (Presented and published)
• Anita Murmu, Shipra Swati, Naween Kumar, Rajiv Murmu, Yajnaseni Dash, “Deep Learning based Encoder-Decoder model for skin cancer Classification,” 2024 7th International Conference on Contemporary Computing and Informatics (IC3I), Greater Noida, UP, India, 2024. (Presented and published)
• Anita Murmu and Piyush Kumar, “Diabetic Retinopathy blood vessel detection using Deep-CNN-based feature extraction and classification,” 6^th International Conference on Recent Trends in Image Processing & Pattern Recognition. 7-8 December 2023, UK. (Presented and published)
• Charu Chanda, Anita Murmu, and Piyush Kumar, “FedCNNAvg: Federated Learning for Preserving-Privacy of Multi-Clients Decentralized Medical Image Classification,” ICDSNE 2023, NIT Agartala, India, 2023. (Presented and published)
• Anita Murmu, and Piyush Kumar, “Deep learning model-based segmentation of medical diseases from MRI and CT images,” In International Conference on TENCON 2021 IEEE Region 10 (TENCON), 608-613, Auckland, New Zealand, 2021. (Presented and published)
• C. Nandhini, Anita Murmu, Rajesh Doriya, “Study and analysis of cloud-based robotics framework” In 2017 International Conference on Current Trends in Computer, Electrical, Electronics and Communication (CTCEEC). IEEE, 2017. (Presented and published)
• Naween Kumar, Anita Murmu, Yajnaseni Dash, Ajith Abraham, “Skin lesion detection and classification from dermoscopic images using a hybrid Network,” In International Conference on Soft Computing and Pattern Recognition, pp. 581-588, 2025. (Published)
• Manav Gupta, Sangeeta Kumari, Anita Murmu, Alok Kumar Shukla, “Intelligent model for predicting heart disease using ensemble learning,” In International Conference on Data Analytics & Management, pp. 124-134, 2025. (Published)
• Santosh Kisku, Anita Murmu, “Convolutional Neural Network-based Model for Breast Cancer Classification,” 2^nd International Intelligent Computing and Technologies Conference (ICTCon 2024), Central Institute of Technology Kokrajhar, Assam, India. [InPress]
• Santosh Kisku, Anita Murmu, “Eff-GradCAM: Recognition of Facial Expressions with Deep Learning-based Model,” 3^rd International Intelligent Computing and Technologies Conference (ICTCon 2024). Central Institute of Technology Kokrajhar, Assam, India.  [InPress]
• Anita Murmu, Naween Kumar, Ojal Agarwal, Shruti Kashyap, “Machine Learning and Deep Learning Models for Cloud Computing Performance Metrics,” 5^th International Conference on Advancement in Electronics & Communication Engeneering (AECE-2025), Raj Kumar Goel Institute of Technology, Ghaziabad, UP, India.
• Naween Kumar, Anita Murmu, Sujal Singh, Saatvika Singh, “Comparative Analysis of Deep Learning Architectures for Neurological Disorder Detection,” 5^th International Conference on Advancement in Electronics & Communication Engeneering (AECE-2025), Raj Kumar Goel Institute of Technology, Ghaziabad, UP, India.

List of Patent

• Anita Murmu, “Federated learning-based disease monitoring and alerting device”. [Granted]
• Sangeeta Kumari, Anita Murmu, “Smart waste tracking device”. [Granted]
• Anita Murmu, “Chaotic compression for privacy enhanced biometrics”. [Awaited]
• Sangeeta Kumari, Anita Murmu, “Intelligent waste tracking and optimization system with distributed ledger”, [Published]
• Anita Murmu, Sangeeta Kumari, Ajeet Pandy, “Brain tumor classification network system based on swing fuzzy c-means clustering”, [Published]

Course Taught

• (IT10I025IT) Data Structure (July 2025- December 2025)
• (CS10I010CS) Computer Programming (January 2026 -)
• (CS104103CS) Computer Network (January 2026 -)