NIT Warangal

Courses Handled
Research IDs
Selected Publications
Project/Consultancy
Current PhD Students
Awards and Accolades
Additional Responsibilities

Linear IC Applications(EC251)
Design Thinking(EC1102)
Design Thinking(EC2102)
IC Application Lab(EC282)
IC Applications Lab(EC256)

ORC ID: 0000-0002-3125-771X
Google Scholar ID: https://scholar.google.com/citations?user=zETe7w4AAAAJ&hl=en

An Efficient Blood-Cell Segmentation for the Detection of Hematological Disorders, By P. K. Das, S. Meher, R. Panda, and A. Abraham, IEEE, IEEE Transactions on Cybernetics, vol.52, pp.10615-10626, 2022
AWOLSE: Adaptive Weight Optimized Level Set Evolution-based Blood Cell Segmentation, By P. K. Das and S. Meher, IEEE, IEEE Transactions on Instrumentation and Measurement, vol.73, pp.5003212, 2023
An Efficient Detection and Classification of Acute Leukemia using Transfer Learning and Orthogonal Softmax Layer-based Model, By P. K. Das, B. Sahoo, and S. Meher, IEEE, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.20, pp.1817-1828, 2023
A Hybrid Deep Learning Framework for Automatic Detection of Brain Tumours using Different Modalities, By A. Sahu, P. K. Das, I. Paul, and S. Meher, IEEE, IEEE Transactions on Emerging Topics in Computational Intelligence, vol., pp., 2024
A Systematic Review on Recent Advancements in Deep Learning and Mathematical Modeling for Efficient Detection of Glioblastoma, By M. Salman, P. K. Das, and S. Mohanty, IEEE, IEEE Transactions on Instrumentation and Measurement, vol.73, pp.1-34, 2024
A Review of Automated Methods for the Detection of Sickle Cell Disease, By P. K. Das, S. Meher, R. Panda, and A. Abraham, IEEE, IEEE Reviews in Biomedical Engineering, vol.13, pp.309-324, 2020
ACDSSNet: Atrous Convolution-based Deep Semantic Segmentation Network for Efficient Detection of Sickle Cell Anemia, By P. K. Das, A. Dash, and S. Meher, IEEE, IEEE Journal of Biomedical and Health Informatics, vol.28, pp.5676-5684, 2024
A Deforestation Detection Network Using Deep Learning-based Semantic Segmentation, By P. K. Das, A. Sahu, D. Xavy, and S. Meher, IEEE, IEEE Sensors Letters, vol.8, pp.1-4, 2024
SBCDNet: An Efficient Sparse-Based Deep Cascade Blood Cancer Detection Network, By P. K. Das, A. Sahu, D. V A, and S. Meher, IEEE, IEEE Sensors Letters, vol.8, pp.1-4, 2024
An efficient deep convolutional neural network based detection and classification of acute lymphoblastic leukemia, By P. K. Das and S. Meher, Elsevier, Expert Systems with Applications, vol.183, pp.115311, 2021

Journal

OSLTBDNet: Orthogonal softmax layer-based tuberculosis detection network with small dataset, By Pradeep Kumar Das, S Sreevatsav, Adyasha Sahu, Shah Arpan Hasmukh Mayuri, Pareshkumar Ramanbhai Sagar, Elsevier, Biomedical Signal Processing and Control, vol., pp., 2025
An Integrated Framework for Infectious Disease Control Using Mathematical Modelling and Deep Learning, By M. Salman, P. K. Das, and S. Mohanty, IEEE, IEEE Open Journal of Engineering in Medicine and Biology, vol.6, pp.41-53, 2025
An efficient deep learning system for automatic detection of Acute Lymphoblastic Leukemia, By P. K. Das, S. Meher, A. Rath, and G. Panda, Elsevier, ISA Transactions, vol., pp., 2025
A Systematic Review on Recent Advancements in Deep Learning and Mathematical Modeling for Efficient Detection of Glioblastoma, By M. Salman, P. K. Das, and S. Mohanty, IEEE, IEEE Transactions on Instrumentation and Measurement, vol.73, pp.1-34, 2024
ACDSSNet: Atrous Convolution-based Deep Semantic Segmentation Network for Efficient Detection of Sickle Cell Anemia, By P. K. Das, A. Dash, and S. Meher, IEEE, IEEE Journal of Biomedical and Health Informatics, vol.28, pp.5676-5684, 2024
A Deforestation Detection Network Using Deep Learning-based Semantic Segmentation, By P. K. Das, A. Sahu, D. Xavy, and S. Meher, IEEE, IEEE Sensors Letters, vol.8, pp.1-4, 2024
SBCDNet: An Efficient Sparse-Based Deep Cascade Blood Cancer Detection Network, By P. K. Das, A. Sahu, D. V A, and S. Meher, IEEE, IEEE Sensors Letters, vol.8, pp.1-4, 2024
An efficient deep learning scheme to detect breast cancer using mammogram and ultrasound breast images, By A. Sahu, P. K. Das, and S. Meher, Elsevier, Biomedical Signal Processing and Control, vol.87, pp.105377, 2024
An automatic sparse-based deep cascade framework with multilayer representation for detecting breast cancer, By A. Sahu, P. K. Das, and S. Meher, Elsevier, Measurement, vol.228, pp.114375, 2024
A Hybrid Deep Learning Framework for Automatic Detection of Brain Tumours using Different Modalities, By A. Sahu, P. K. Das, I. Paul, and S. Meher, IEEE, IEEE Transactions on Emerging Topics in Computational Intelligence, vol., pp., 2024
An Efficient Deep Learning Network with Orthogonal Softmax Layer for Automatic Detection of Tuberculosis, By P. K. Das, S. Sreevatsav, and A. Abraham, Elsevier, Engineering Applications of Artificial Intelligence, vol.133, pp.108116, 2024
Recent Advancements in Machine Learning and Deep Learning-based Breast Cancer Detection using Mammograms, By A. Sahu, P. K. Das, and S. Meher, Elsevier, Physica Medica, vol.114, pp.103138, 2023
High Accuracy Hybrid CNN Classifiers for Breast Cancer Detection using Mammogram and Ultrasound Datasets, By A. Sahu, P. K. Das, and S. Meher, Elsevier, Biomedical Signal Processing and Control, vol.80, pp.104292, 2023
An Efficient Detection and Classification of Acute Leukemia using Transfer Learning and Orthogonal Softmax Layer-based Model, By P. K. Das, B. Sahoo, and S. Meher, IEEE, IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol.20, pp.1817-1828, 2023
AWOLSE: Adaptive Weight Optimized Level Set Evolution-based Blood Cell Segmentation, By P. K. Das and S. Meher, IEEE, IEEE Transactions on Instrumentation and Measurement, vol.73, pp.5003212, 2023
A Systematic Review on Recent Advancements in Deep and Machine Learning based Detection and Classification of Acute Lymphoblastic Leukemia, By P. K. Das, Diya V. A., S. Meher, R. Panda, and A. Abraham, IEEE, IEEE Access, vol.10, pp.81741-81763, 2022
An Efficient Blood-Cell Segmentation for the Detection of Hematological Disorders, By P. K. Das, S. Meher, R. Panda, and A. Abraham, IEEE, IEEE Transactions on Cybernetics, vol.52, pp.10615-10626, 2022
A lightweight deep learning system for automatic detection of blood cancer, By P. K. Das, B. Nayak, and S. Meher, Elsevier, Measurement, vol.191, pp.110762, 2022
An efficient deep convolutional neural network based detection and classification of acute lymphoblastic leukemia, By P. K. Das and S. Meher, Elsevier, Expert Systems with Applications, vol.183, pp.115311, 2021
A Review of Automated Methods for the Detection of Sickle Cell Disease, By P. K. Das, S. Meher, R. Panda, and A. Abraham, IEEE, IEEE Reviews in Biomedical Engineering, vol.13, pp.309-324, 2020
Design of optimal high pass and band stop FIR filters using adaptive Cuckoo search algorithm, By S. K. Sarangi, R. Panda, P. K. Das, and A. Abraham, Elsevier, Engineering Applications of Artificial Intelligence, vol.70, pp.67-80, 2018

Conference

Efficient Detection of Brain Tumor Using Deep Learning with Small Dataset By A. Kumar, P. K. Das, 2024 3rd IEEE International Conference on Artificial Intelligence for Internet of Things (AIIoT 2024), 2024
An Efficient Deep Learning-based Breast Cancer Detection Scheme with Small Datasets By A. Sahu, P. K. Das, S. Meher, R. Panda, and A. Abraham, Intelligent Systems Design and Applications, 2023
Deep Convolutional Neural Network-based Automatic Detection of Brain Tumour By I. Paul, A. Sahu, P. K. Das, and S. Meher, In 2023 2nd International Conference for Innovation in Technology (INOCON), 2023
Transfer Learning-Based Automatic Detection of Acute Lymphocytic Leukemia By P. K. Das and S. Meher, 2021 National Conference on Communications (NCC), 2021
Detection and Classification of Acute Lymphocytic Leukemia By P. K. Das, P. Jadoun, and S. Meher, 2020 IEEE-HYDCON, 2020

Book Chapter

An Efficient Deep CNN-based AML Detection: Overcoming small Database Limitations in Medical Applications By P. K. Das, A. Sahu, and S. Meher in Computational Intelligence for Oncology and Neurological Disorders, CRC Press, Research, 2024
A Deep Hybrid System for Effective Diagnosis of Breast Cancer By A. Sahu, P. K. Das, and S. Meher in Computational Intelligence for Oncology and Neurological Disorders, CRC Press, Research, 2024
Detection of Acute Lymphoblastic Leukemia using Machine Learning Techniques By P. K. Das, A. Pradhan, and S. Meher in Machine Learning, Deep Learning and Computational Intelligence for Wireless Communication, Springer, Research, 2021

Artificial intelligence-based epileptic seizure detection framework using EEG signal

Role Co-Principal Investigator
Type Research
Sponsor Indian Council of Medical Research (ICMR)
Duration 35 Months
Project Cost (INR) 3010885
Status Ongoing

Prof. Pradeep Kumar Das

Assistant Professor Gr-II

Research Areas

Artificial intelligence-based epileptic seizure detection framework using EEG signal

Prof. Pradeep Kumar Das

Assistant Professor Gr-II

Research Areas

All ResearchIDs

All Publications

Journal

Conference

Book Chapter

Artificial intelligence-based epileptic seizure detection framework using EEG signal

Previous Students