Dr. Kunal Pal is a Professor in the Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, India. His major research interests revolve around biomedical signal processing, biomedical equipment design, soft materials, and controlled drug delivery. He has published more than 100 publications in SCI-cited journals of high repute. Dr. Bala Chakravarthy Neelapu has completed B.Tech in Electronics and Communication Engineering Dr. Bala Chakravarthy Neelapu is working as an assistant professor in the Department of Biotechnology and Medical Engineering at the National Institute of Technology, Rourkela, India. His area of interest is medical image processing and computer vision. He has authored more than 20 articles in SCI-indexed journals. JNTU Hyderabad in 2008, M.Tech. in Electronics and Communication Engineering from JNTU Kakinada, in 2011, and PhD in Engineering from AcSIR (Academy of Scientific and Innovative Research) at CSIR-Central Scientific Instruments Organization, Chandigarh in 2018. Currently, he is working as Assistant Professor in the Department of Biotechnology and Medical Engineering of National Institute of Technology Rourkela, India. Prior to join NIT Rourkela, he had worked as Assistant Professor at K L University, Andhra Pradesh. His area of interest is Medical Image Processing and Computer Vision. He has authored more than 10 articles in SCI indexed journals and conferences. Dr. Bala Chakravarthy has filed 2 patents in India and US and 1 of them was granted by US Patent Office. He has served as a Guest Editor of 2 reputed SCI journals and also served as a reviewer of several SCI and SCOPUS indexed journals. Dr. J. Sivaraman is working as an assistant professor and principal investigator of Bio-signals and Medical Instrumentation Laboratory in the Department of Biotechnology and Medical Engineering at the National Institute of Technology, Rourkela, India. His research interests include electrocardiography, ECG signal analysis and processing, atrial arrhythmias such as atrial ? brillation, and signal processing for bioelectric measurements. He has authored more than 40 articles in SCI-indexed journals, conferences, and book chapters

• 1. Introduction to Biomedical signals and Biomedical Imaging2. Medical Applications of Artificial Intelligence3. Decipher the Mask-Induced Cardiac Changes in the ECG Signals using DWT and Machine Learning Classifiers4. A robust to noise classification method for the heart sound signals using deep learning technique5. Brain tumour segmentation using Advanced deep learning Techniques6. AI in medical robotics7. AI in medical education8. Machine Learning and Deep Learning Techniques for Smart Diagnosis of Obstructive Sleep Apnea using Single lead ECG9. Artificial Intelligence techniques for Diagnosis of Atrial Fibrillation10. Artificial intelligence in monitoring and correction of functional state based on electro-cardio signal11. Deep Learning for drug repurposing.12. Explainable AI for medical applications13. Artificial intelligence-based smart devices for biomedical applications14. Automation in the field of orthodontics and orthopaedics based on artificial Intelligence15. Data driven models in health care diagnosis16. Artificial Intelligence for diabetes management17. 2D and 3D segmentation of organs using artificial intelligence18. Early-stage identification of Autism in children using gesture monitoring based on Artificial Intelligence.19. Artificial Intelligence in diagnosis of Neural disorders using bio signals and Imaging20. Biomedical Image Security21. AI for Cancer Diagnosis

Dr. Kunal Pal is a Professor in the Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, India. His major research interests revolve around biomedical signal processing, biomedical equipment design, soft materials, and controlled drug delivery. He has published more than 100 publications in SCI-cited journals of high repute. Dr. Bala Chakravarthy Neelapu has completed B.Tech in Electronics and Communication Engineering Dr. Bala Chakravarthy Neelapu is working as an assistant professor in the Department of Biotechnology and Medical Engineering at the National Institute of Technology, Rourkela, India. His area of interest is medical image processing and computer vision. He has authored more than 20 articles in SCI-indexed journals. JNTU Hyderabad in 2008, M.Tech. in Electronics and Communication Engineering from JNTU Kakinada, in 2011, and PhD in Engineering from AcSIR (Academy of Scientific and Innovative Research) at CSIR-Central Scientific Instruments Organization, Chandigarh in 2018. Currently, he is working as Assistant Professor in the Department of Biotechnology and Medical Engineering of National Institute of Technology Rourkela, India. Prior to join NIT Rourkela, he had worked as Assistant Professor at K L University, Andhra Pradesh. His area of interest is Medical Image Processing and Computer Vision. He has authored more than 10 articles in SCI indexed journals and conferences. Dr. Bala Chakravarthy has filed 2 patents in India and US and 1 of them was granted by US Patent Office. He has served as a Guest Editor of 2 reputed SCI journals and also served as a reviewer of several SCI and SCOPUS indexed journals. Dr. J. Sivaraman is working as an assistant professor and principal investigator of Bio-signals and Medical Instrumentation Laboratory in the Department of Biotechnology and Medical Engineering at the National Institute of Technology, Rourkela, India. His research interests include electrocardiography, ECG signal analysis and processing, atrial arrhythmias such as atrial ? brillation, and signal processing for bioelectric measurements. He has authored more than 40 articles in SCI-indexed journals, conferences, and book chapters

• 1. Introduction to Biomedical signals and Biomedical Imaging2. Medical Applications of Artificial Intelligence3. Decipher the Mask-Induced Cardiac Changes in the ECG Signals using DWT and Machine Learning Classifiers4. A robust to noise classification method for the heart sound signals using deep learning technique5. Brain tumour segmentation using Advanced deep learning Techniques6. AI in medical robotics7. AI in medical education8. Machine Learning and Deep Learning Techniques for Smart Diagnosis of Obstructive Sleep Apnea using Single lead ECG9. Artificial Intelligence techniques for Diagnosis of Atrial Fibrillation10. Artificial intelligence in monitoring and correction of functional state based on electro-cardio signal11. Deep Learning for drug repurposing.12. Explainable AI for medical applications13. Artificial intelligence-based smart devices for biomedical applications14. Automation in the field of orthodontics and orthopaedics based on artificial Intelligence15. Data driven models in health care diagnosis16. Artificial Intelligence for diabetes management17. 2D and 3D segmentation of organs using artificial intelligence18. Early-stage identification of Autism in children using gesture monitoring based on Artificial Intelligence.19. Artificial Intelligence in diagnosis of Neural disorders using bio signals and Imaging20. Biomedical Image Security21. AI for Cancer Diagnosis

Dr. Kunal Pal is a Professor in the Department of Biotechnology and Medical Engineering, National Institute of Technology Rourkela, India. His major research interests revolve around biomedical signal processing, biomedical equipment design, soft materials, and controlled drug delivery. He has published more than 100 publications in SCI-cited journals of high repute. Dr. Bala Chakravarthy Neelapu has completed B.Tech in Electronics and Communication Engineering Dr. Bala Chakravarthy Neelapu is working as an assistant professor in the Department of Biotechnology and Medical Engineering at the National Institute of Technology, Rourkela, India. His area of interest is medical image processing and computer vision. He has authored more than 20 articles in SCI-indexed journals. JNTU Hyderabad in 2008, M.Tech. in Electronics and Communication Engineering from JNTU Kakinada, in 2011, and PhD in Engineering from AcSIR (Academy of Scientific and Innovative Research) at CSIR-Central Scientific Instruments Organization, Chandigarh in 2018. Currently, he is working as Assistant Professor in the Department of Biotechnology and Medical Engineering of National Institute of Technology Rourkela, India. Prior to join NIT Rourkela, he had worked as Assistant Professor at K L University, Andhra Pradesh. His area of interest is Medical Image Processing and Computer Vision. He has authored more than 10 articles in SCI indexed journals and conferences. Dr. Bala Chakravarthy has filed 2 patents in India and US and 1 of them was granted by US Patent Office. He has served as a Guest Editor of 2 reputed SCI journals and also served as a reviewer of several SCI and SCOPUS indexed journals. Dr. J. Sivaraman is working as an assistant professor and principal investigator of Bio-signals and Medical Instrumentation Laboratory in the Department of Biotechnology and Medical Engineering at the National Institute of Technology, Rourkela, India. His research interests include electrocardiography, ECG signal analysis and processing, atrial arrhythmias such as atrial ? brillation, and signal processing for bioelectric measurements. He has authored more than 40 articles in SCI-indexed journals, conferences, and book chapters

• 1. Introduction to Biomedical signals and Biomedical Imaging2. Medical Applications of Artificial Intelligence3. Decipher the Mask-Induced Cardiac Changes in the ECG Signals using DWT and Machine Learning Classifiers4. A robust to noise classification method for the heart sound signals using deep learning technique5. Brain tumour segmentation using Advanced deep learning Techniques6. AI in medical robotics7. AI in medical education8. Machine Learning and Deep Learning Techniques for Smart Diagnosis of Obstructive Sleep Apnea using Single lead ECG9. Artificial Intelligence techniques for Diagnosis of Atrial Fibrillation10. Artificial intelligence in monitoring and correction of functional state based on electro-cardio signal11. Deep Learning for drug repurposing.12. Explainable AI for medical applications13. Artificial intelligence-based smart devices for biomedical applications14. Automation in the field of orthodontics and orthopaedics based on artificial Intelligence15. Data driven models in health care diagnosis16. Artificial Intelligence for diabetes management17. 2D and 3D segmentation of organs using artificial intelligence18. Early-stage identification of Autism in children using gesture monitoring based on Artificial Intelligence.19. Artificial Intelligence in diagnosis of Neural disorders using bio signals and Imaging20. Biomedical Image Security21. AI for Cancer Diagnosis