Intelligent Data Analysis for Biomedical Applications

Dr. D. Jude Hemanth is currently working as a professor in Department of ECE, Karunya University, Coimbatore, India. He also holds the position of “Visiting Professor” in Faculty of Electrical Engineering and Information Technology, University of Oradea, Romania. He also serves as the “Research Scientist” of Computational Intelligence and Information Systems (CI2S) Lab, Argentina; LAPISCO research lab, Brazil; RIADI Lab, Tunisia; Research Centre for Applied Intelligence, University of Craiova, Romania and e-health and telemedicine group, University of Valladolid, Spain.Dr. Hemanth received his B.E degree in ECE from Bharathiar University in 2002, M.E degree in communication systems from Anna University in 2006 and Ph.D. from Karunya University in 2013. He has published 37 edited books with reputed publishers such as Elsevier, Springer and IET. His research areas include Computational Intelligence and Image processing. He has authored more than 200 research papers in reputed SCIE indexed International Journals and Scopus indexed International Conferences. Dr. Aditya Khamparia has expertise in teaching, entrepreneurship, and research and development of 11 years. He is presently working as Assistant Professor in Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India. He received his Ph.D. degree from Lovely Professional University, Punjab, India in May 2018. He has completed his M. Tech. from VIT University, Vellore, Tamil Nadu, India and B. Tech. from RGPV, Bhopal, Madhya Pradesh, India. He has completed his PDF from UNIFOR, Brazil. He has published around 105 research papers along with book chapters including more than 25 papers in SCI indexed Journals with cumulative impact factor of above 100 to his credit. Additionally, he has authored and edited eleven books. Furthermore, he has served the research field as a Keynote Speaker/Session Chair/Reviewer/TPC member/Guest Editor and many more positions in various conferences and journals. His research interest include machine learning, deep learning for biomedical health informatics, educational technologies, and computer vision. Valentina Emilia Balas is Full Professor in the Department of Automatics and Applied Software, Faculty of Engineering, Aurel Vlaicu University of Arad, Romania. She holds a PhD in Applied Electronics and Telecommunications from the Polytechnic University of Timisoara. Her research interests include intelligent systems, fuzzy systems, soft computing, smart sensors, information fusion, modeling, and simulation. Dr. Balas serves as Director of the Intelligent Systems Research Center and Director of International Relations, Programs and Projects at Aurel Vlaicu University of Arad. She is Editor-in-Chief of the International Journal of Advanced Intelligence Paradigms and International Journal of Computational Systems Engineering, and serves on the editorial boards of several scientific journals. She has led and contributed to numerous national and international research initiatives, including the European Union-funded BioCell-NanoART project on bio-inspired cellular nano-architectures. She is active in several professional societies and technical committees, including IEEE, the European Society for Fuzzy Logic and Technology, and the Society for Industrial and Applied Mathematics.

• 1. A Review on Intelligent Data Analysis System for an IoT-Based Capsule Endoscopy System2. Ant Colony optimization-based image texture segmentation in medical images3. A Feature Fusion Based Discriminant Learning Model for Diagnosis of Neuromuscular Disorders Using Single Channel Needle EMG Signal4. Evolution of Consciousness Systems with bacteria5. Analysis of transform-based compression techniques for MRI and CT images6. Liveness Assured Multimodal Biometrics using Electrocardiogram for Smart Health Applications7. Medical Image Retrieval System in PACS Environment for Clinical Decision Making8. A Neuro Fuzzy Inference Model for Diabetic Retinopathy Classification9. Predictive Analysis of breast cancer using machine learning techniques10. Right Ventricle Image Segmentation from MRI using optimization techniques11. Computational Automated System for Red Blood Cell Detection and Segmentation12. Fuzzy logic based approaches for gene regulatory network inference13. Evolutionary Algorithm with Memetic Search for Optic Disc Localization in Retinal Fundus Images14. A novel approach of targeting prognostics of Bruxism disorder using C4-P4 channel of EEG signal15. Physiotherapy and Rehabilitation Assessment System Using Bio-inspired Visual Cortex Computational Model16. Classification of Myocardial Ischemia in Contrast Enhancement Using Machine Learning17. Simple link sensor network based remote monitoring of multiple patients18. Prognosticating the risk of fibrosis progression in non-alcoholic fatty liver diseases19. Alzheimer Disease Detection from Structural MR Images using Fuzzy C-Means based Deep Belief Neural Network20. Optimal Control of Fractional Order HIV-Immune System Using Neural Network Approach21. Diagnosis of Ocular Disease using Optical Coherence Tomography Image22. Hybrid Approach for Classification of EEG Signals using T-F Images with Wavelets and Texture Features