Sreedhar Kollem
@sru.edu.in
SR University
EDUCATION
B. Tech, M. Tech, Ph.D.
Scopus Publications
- An Intelligent Medical Image Denoising Approach Based on Region-Vision Transformer-Based Adaptive Mobile-Unet + + with Kalman Filter for Improved Clinical Diagnosis
Nagaraju Panaganti, Sreedhar Kollem
International Journal of Computational Intelligence Systems, 2026 - A systematic review of transformer-enhanced UNet architectures for 3D medical image segmentation: Trends, challenges, and the ATD-TᵣEEv framework
Tuniki Krishnaveni, Sreedhar Kollem
Computational Biology and Chemistry, 2026 - A heuristic-inspired spatial ViT-based adaptive 3D efficient Unet++ module for volumetric brain tumour segmentation model with 3D brain images
Tuniki Krishnaveni, Sreedhar Kollem
Biomedical Signal Processing and Control, 2026 - Enhancing performance evaluation and ensemble methodology for early detection of heart disease with SHAP analysis
Nadikatla Chandrasekhar, Samineni Peddakrishna, Sreedhar Kollem
Evolutionary Intelligence, 2026 - Graph Attention and Contrastive Learning for Enhanced Spatio-temporal Human Activity Recognition
International Journal of Intelligent Engineering and Systems, 2026 - Monkeypox Skin-Lesion Detection with a Modified VGG16 and a Lightweight Custom CNN
Rahul Bhandari, Ramya Perumal, Sreedhar Kollem, Bharat Kumar G J, Navyatha Ravi, et al.
2025 IEEE 5th International Conference on ICT in Business Industry and Government Ictbig 2025, 2026 - A Brief Survey of Medical Image Denoising: Past Methodologies and Challenges, Future Research Trends
Nagaraju Panaganti, Sreedhar Kollem
Annals of Data Science, 2026 - A real-time learning-assisted charging strategy for lithium-ion batteries in electric vehicles
R. Suganya, L.M.I. Leo Joseph, Sreedhar Kollem
International Journal of Electrochemical Science, 2026 - EEG-Based Brain-Computer Interface for Recognition of Human Brain Activity During Yoga and Meditation
Bandari Ramaraju, Ravichander Janapati, Sreedhar Kollem
Brain Computer Interfaces for Neurorehabilitation, 2026
Yoga and meditation have long been recognized for their profound impact on mental health, emotional regulation, and cognitive performance. However, understanding the underlying neural mechanisms that govern these altered states of consciousness remains a key research challenge. This chapter proposes an EEG-based Brain Computer Interface (BCI) framework for human brain activity recognition during yoga and meditation practices, focusing on cognitive and neurophysiological state characterization through advanced signal processing and machine learning techniques. The proposed methodology involves the acquisition of EEG signals from multiple scalp regions during various yoga and meditative postures, followed by preprocessing using Independent Component Analysis (ICA) to remove artifacts. Subsequently, time–frequency domain features such as band power (delta, theta, alpha, beta, and gamma) are extracted, capturing the neural oscillations associated with relaxation and attentional control. These features are then reduced via Principal Component Analysis (PCA) for dimensionality optimization. To classify mental states, several machine learning and deep learning algorithms, including Support Vector Machines (SVM), Random Forests, and EEGNet, are employed. The system's performance is evaluated using accuracy, F1-score, and confusion matrix metrics, ensuring reliable cognitive state recognition. The scope of this work extends to developing adaptive BCI models capable of providing real-time neurofeedback for enhancing mindfulness, focus, and emotional balance. Furthermore, the framework can be integrated into clinical neurorehabilitation and cognitive training systems, contributing to personalized therapy and mental health monitoring. By bridging traditional mindfulness practices with modern neurotechnology, this research advances the frontiers of non-invasive BCIs for cognitive enhancement, neurofeedback, and holistic well-being. - Evaluating Lithium-ion Battery Characteristics Under Various Load Conditions Using MATLAB/Simulink
R. Suganya, L. M. I. Leo Joseph, Sreedhar Kollem
National Academy Science Letters, 2026 - Enhancing Fast Charging of Lithium-Ion Batteries in Electric Vehicles: A Comparative Analysis of Cathode and Electrolyte Materials
R. Suganya, L. M. I. Leo Joseph, Sreedhar Kollem
Lecture Notes in Networks and Systems, 2026 - An Optimal Feature Integration with Adaptive Hybrid Deep Learning Network for Human Brain Activity Interpretation During Yoga and Meditation Using EEG Signals
Bandari Ramaraju, Ravichander Janapati, Sreedhar Kollem
Iranian Journal of Science and Technology Transactions of Electrical Engineering, 2026 - Introduction to Neural Network and Machine Learning as a Subset of AI
L.M.I. Leo Joseph, P. Ganesan, Sreedhar Kollem, Yuvaraj Duraisamy
Deep Learning in Genome Mapping Computation and Analysis, 2026 - Deep Network Traffic Representation Learning for IoT Attack Classification using CNN-LSTM Hybridization
N Poorna Chandra Rao, Anjula Gupta, Mettu Jhansi Rani, Sreedhar Kollem, Shaik Yacoob, et al.
Proceedings of 6th International Conference on Expert Clouds and Applications Icoeca 2026, 2026 - Real-Time Histopathological Cancer Diagnosis Using ResNet50: Transfer Learning for Automated Tumor Detection and Classification
Shikha Khullar, Purude Vaishali Narayanrao, Poojitha S, Sreedhar Kollem, P. Swapna Shankar, et al.
7th International Conference on Mobile Computing and Sustainable Informatics Icmcsi 2026, 2026 - AfroNet: A Cross-Attention Enhanced U-Net for Breast Cancer Image Segmentation
Vuppula Manohar
Journal of Image and Graphics United Kingdom, 2026 - Spatial attention-guided pre-trained networks for accurate identification of crop diseases
Satrughan Kumar, S. S. Aravinth, Sreedhar Kollem, Munish Kumar, Quadri Noorulhasan Naveed, et al.
Scientific Reports, 2025 - Artificial intelligence and machine learning in infectious disease diagnostics: a comprehensive review of applications, challenges, and future directions
Purshottam J. Assudani, Ajit Singh Bhurgy, Sreedhar Kollem, Baljeet Singh Bhurgy, Md. Oqail Ahmad, et al.
Microchemical Journal, 2025 - Investigating brain tumor classification using MRI: a scientometric analysis of selected articles from 2015 to 2024
Gunde Mounika, Sreedhar Kollem, Srinivas Samala
Neuroradiology, 2025 - Integration of 5G and 4G Communication in Battery Management Systems for Electric Vehicles: A Cloud-Based Architecture for Enhanced Performance and Analytics
R. Suganya, L. M. I. Leo Joseph, Sreedhar Kollem
Internet Technology Letters, 2025 - Sustainable urban mobility: Reducing emissions through intelligent transportation
R. Suganya, L. M. I. Leo Joseph, Sreedhar Kollem
Urban Mobility and Challenges of Intelligent Transportation Systems, 2025 - Distended pixel replacement method for enhancing visual quality of low-light images
G. Sekar, Arun Sekar Rajasekaran, Sreedhar Kollem, Babji Prasad Chapa
Signal Image and Video Processing, 2025 - Heart abnormality classification using ECG and PCG recordings with novel PJM-DJRNN
Nadikatla Chandrasekhar, Sujatha Canavoy Narahari, Sreedhar Kollem, Samineni Peddakrishna, Archana Penchala, et al.
Results in Engineering, 2025 - Emotion-Aware Multimodal Human Action Recognition Framework Using Hybrid Deep Learning Architecture
Dustakar Surendra Rao, Sreedhar Kollem
2025 IEEE 6th Global Conference for Advancement in Technology Gcat 2025, 2025 - Leveraging Dual Attention and Transformers for Robust Cardiac MRI Segmentation
Rajani Dharanikota, Sreedhar Kollem
2025 IEEE 2nd International Conference on Information Technology Electronics and Intelligent Communication Systems Iciteics 2025, 2025
RECENT SCHOLAR PUBLICATIONS
- A heuristic-inspired spatial ViT-based adaptive 3D efficient Unet++ module for volumetric brain tumour segmentation model with 3D brain images
T Krishnaveni, S Kollem
Biomedical Signal Processing and Control 122, 110403 , 2026
2026 - A Brief Survey of Medical Image Denoising: Past Methodologies and Challenges, Future Research Trends
N Panaganti, S Kollem
Annals of Data Science, 1-44 , 2026
2026 - A Systematic Review of Transformer-Enhanced UNet Architectures for 3D Medical Image Segmentation: Trends, Challenges, and the ATD-TᵣEEv Framework
T Krishnaveni, S Kollem
Computational Biology and Chemistry, 109084 , 2026
2026
Citations: 1 - Enhancing performance evaluation and ensemble methodology for early detection of heart disease with SHAP analysis
N Chandrasekhar, S Peddakrishna, S Kollem
Evolutionary Intelligence 19 (2), 42 , 2026
2026 - Evaluating Lithium-ion Battery Characteristics Under Various Load Conditions Using MATLAB/Simulink
R Suganya, LMI Leo Joseph, S Kollem
National Academy Science Letters, 1-5 , 2026
2026 - An Optimal Feature Integration with Adaptive Hybrid Deep Learning Network for Human Brain Activity Interpretation During Yoga and Meditation Using EEG Signals
B Ramaraju, R Janapati, S Kollem
Iranian Journal of Science and Technology, Transactions of Electrical … , 2026
2026 - Deep Network Traffic Representation Learning for IoT Attack Classification using CNN–LSTM Hybridization
NPC Rao, A Gupta, MJ Rani, S Kollem, S Yacoob, S Kaliappan
2026 6th International Conference on Expert Clouds and Applications (ICOECA … , 2026
2026 - Enhancing Fast Charging of Lithium-Ion
R Suganya, LMIL Joseph, S Kollem
Proceedings of the Third Congress on Control, Robotics, and Mechatronics … , 2026
2026 - Graph Attention and Contrastive Learning for Enhanced Spatio-temporal Human Activity Recognition.
SR Dustakar, S Kollem, S Ahmad
International Journal of Intelligent Engineering & Systems 19 (2) , 2026
2026 - An Intelligent Medical Image Denoising Approach Based on Region-Vision Transformer-Based Adaptive Mobile-Unet++ with Kalman Filter for Improved Clinical Diagnosis
N Panaganti, S Kollem
International Journal of Computational Intelligence Systems , 2026
2026 - Real-Time Histopathological Cancer Diagnosis Using ResNet50: Transfer Learning for Automated Tumor Detection and Classification
S Khullar, PV Narayanrao, S Kollem, PS Shankar, S Kaliappan
2026 7th International Conference on Mobile Computing and Sustainable … , 2026
2026 - EEG-Based Brain-Computer Interface for Recognition of Human Brain Activity During Yoga and Meditation
B Ramaraju, R Janapati, S Kollem
Brain-Computer Interfaces for Neurorehabilitation, 213-270 , 2026
2026 - Introduction to Neural Network and Machine Learning as a Subset of AI
Y Joseph, L. L., Ganesan, P., Kollem, S., & Duraisamy
Deep Learning in Genome Mapping, 119-133 , 2026
2026 - Smart IoT-Based Pre-Drive Diagnostic and Mode Indication Framework for Autonomous Driving
ZB Shaik, S Peddakrishna, S Kollem, M Krishnaiah, M Naresh, J Kuriti
2025 10th International Conference on Research in Intelligent Computing in … , 2025
2025 - Phenotypic Profiling of Brain Tumours through an Xception-Driven Deep Learning Model
S Khullar, P Gautam, PS Shankar, S Kollem, S Kaliappan, TP Priyanka
2025 1st International Conference on Advancement in Futuristic Technologies … , 2025
2025 - Implementing Medical Image Denoising Using Innovative Transformer-Based Efficient Unet++ For Precision Diagnosis
N Panaganti, S Kollem
2025 IEEE International Conference on Advances in Computing Research On … , 2025
2025 - Monkeypox Skin-Lesion Detection with a Modified VGG16 and a Lightweight Custom CNN
R Bhandari, R Perumal, S Kollem, BK GJ, N Ravi, K Tejashwini
2025 IEEE 5th International Conference on ICT in Business Industry … , 2025
2025 - Real-Time Fault Analysis and System Optimization in EV Controllers with Field-Oriented Control: A Practical Investigation on Monitoring Diagnostics and Enhancements
R Suganya, LMIL Joseph, S Kollem
2025 11th International Conference on Power Systems (ICPS), 1-6 , 2025
2025 - Non-Invasive Blood Pressure Monitoring and Estimation using Dual-Wavelength PPG and Machine Learning
S Anil, M Naresh, J Kuriti, S Kollem, S Peddakrishna, CK Gaddam, ...
2025 IEEE 1st International Conference on Recent Trends in Computing and … , 2025
2025 - Smart Campus Traffic Surveillance with YOLOv8n and IoT-Enabled Monitoring Interface
ZB Shaik, M Krishnaiah, S Peddakrishna, S Kollem, J Kumar, J Kuriti
2025 5th IEEE International Conference on Applied Electromagnetics, Signal … , 2025
2025
MOST CITED SCHOLAR PUBLICATIONS
- Enhancement of images using morphological transformation
K Sreedhar, B Panlal
arXiv preprint arXiv:1203.2514 , 2012
2012
Citations: 227 - A review of image denoising and segmentation methods based on medical images
S Kollem, KRL Reddy, DS Rao
International Journal of Machine Learning and Computing 9 (3), 288-295 , 2019
2019
Citations: 130 - Understanding lithium-ion battery management systems in electric vehicles: Environmental and health impacts, comparative study, and future trends: A review
R Suganya, LMIL Joseph, S Kollem
Results in Engineering 24, 103047 , 2024
2024
Citations: 98 - A comprehensive review on thin film amorphous silicon solar cells
S Sreejith, J Ajayan, S Kollem, B Sivasankari
Silicon 14 (14), 8277-8293 , 2022
2022
Citations: 70 - Brain tumor MRI image segmentation using an optimized multi-kernel FCM method with a pre-processing stage
S Kollem, CR Prasad, J Ajayan, V Malathy, A Subbarao
Multimedia Tools and Applications 82 (14), 20741-20770 , 2023
2023
Citations: 64 - AlexNet‐NDTL: Classification of MRI brain tumor images using modified AlexNet with deep transfer learning and Lipschitz‐based data augmentation
S Kollem, KR Reddy, CR Prasad, A Chakraborty, J Ajayan, S Sreejith, ...
International Journal of Imaging Systems and Technology 33 (4), 1306-1322 , 2023
2023
Citations: 60 - Improved partial differential equation-based total variation approach to non-subsampled contourlet transform for medical image denoising
S Kollem, KR Reddy, DS Rao
Multimedia Tools and Applications 80 (2), 2663-2689 , 2021
2021
Citations: 54 - Ferroelectric field effect transistors (FeFETs): advancements, challenges and exciting prospects for next generation non-volatile memory (NVM) applications
J Ajayan, P Mohankumar, D Nirmal, LMIL Joseph, S Bhattacharya, ...
Materials Today Communications 35, 105591 , 2023
2023
Citations: 50 - Biodegradable sensors: A comprehensive review
S Sreejith, LMIL Joseph, S Kollem, VT Vijumon, J Ajayan
Measurement 219, 113261 , 2023
2023
Citations: 46 - Denoising and segmentation of MR images using fourth order non‐linear adaptive PDE and new convergent clustering
S Kollem, KRL Reddy, DS Rao
International Journal of Imaging Systems and Technology 29 (3), 195-209 , 2019
2019
Citations: 46 - Non-invasive glucose prediction and classification using NIR technology with machine learning
M Naresh, VS Nagaraju, S Kollem, J Kumar, S Peddakrishna
Heliyon 10 (7) , 2024
2024
Citations: 45 - An optimized SVM based possibilistic fuzzy c-means clustering algorithm for tumor segmentation
S Kollem, KR Reddy, DS Rao
Multimedia Tools and Applications 80 (1), 409-437 , 2021
2021
Citations: 41 - Image denoising for magnetic resonance imaging medical images using improved generalized cross‐validation based on the diffusivity function
S Kollem, K Ramalinga Reddy, D Srinivasa Rao, C Rajendra Prasad, ...
International Journal of imaging systems and technology 32 (4), 1263-1285 , 2022
2022
Citations: 36 - Modified transform‐based gamma correction for MRI tumor image denoising and segmentation by optimized histon‐based elephant herding algorithm
S Kollem, K Rama Linga Reddy, D Srinivasa Rao
International Journal of Imaging Systems and Technology 30 (4), 1271-1293 , 2020
2020
Citations: 36 - A novel hybrid deep CNN model for breast cancer classification using Lipschitz-based image augmentation and recursive feature elimination
S Kollem, C Sirigiri, S Peddakrishna
Biomedical Signal Processing and Control 95, 106406 , 2024
2024
Citations: 33 - A novel diffusivity function-based image denoising for MRI medical images
S Kollem, KR Reddy, DS Rao
Multimedia Tools and Applications 82 (21), 32057-32089 , 2023
2023
Citations: 31 - Artificial intelligence and machine learning in infectious disease diagnostics: A comprehensive review of applications, challenges, and future directions
PJ Assudani, AS Bhurgy, S Kollem, BS Bhurgy, O Ahmad, MB Kulkarni, ...
Microchemical Journal, 115802 , 2025
2025
Citations: 22 - Breast cancer classification using CNN with transfer learning models
CR Prasad, B Arun, S Amulya, P Abboju, S Kollem, S Yalabaka
2023 International Conference for Advancement in Technology (ICONAT), 1-5 , 2023
2023
Citations: 22 - An efficient method for MRI brain tumor tissue segmentation and classification using an optimized support vector machine
S Kollem
Multimedia Tools and Applications 83 (26), 68487-68519 , 2024
2024
Citations: 20 - Towards a more theory-driven BCI using source reconstructed dynamics of EEG time-series
R Janapati, V Dalal, R Sengupta, U Desai, PV Raja Shekar, S Kollem
Nano Life 12 (02), 2250005 , 2022
2022
Citations: 19
