Cognitive Informatics, Computer Modelling, and Cognitive Science

Dr. G R Sinha is a Professor at Myanmar Institute of Information Technology (MIIT) Mandalay, Myanmar. To his credit are over 200 research papers, book chapters, and books, including Analysis of Medical Modalities for Improved Diagnosis in Modern Healthcare, Biomedical Signal Processing for Healthcare Applications, Brain and Behavior Computing, and Data Science and Its Applications, Advances in Biometrics, and Cognitive Informatics, Volumes 1 and 2, AI-Based Brain Computer Interfaces, and Data Deduplication Approaches. He was Dean of Faculty and an Executive Council Member of CSVTU and has served as Distinguished Speaker in the field of Digital Image Processing for the Computer Society of India. His research interests include Applications of Machine Learning and Artificial Intelligence in Medical Image Analysis, Biomedical Signal Analysis, Computer Aided Diagnosis, Computer Vision, and Cognitive Science. Dr. Jasjit Suri, PhD, MBA, is a renowned innovator and scientist. He received the Director General’s Gold Medal in 1980 and is a Fellow of several prestigious organizations, including the American Institute of Medical and Biological Engineering and the Institute of Electrical and Electronics Engineers. Dr. Suri has been honored with lifetime achievement awards from Marcus, NJ, USA, and Graphics Era University, India. He has published nearly 300 peer-reviewed AI articles, 100 books, and holds 100 innovations/trademarks, achieving an H-index of nearly 100 with about 43,000 citations. Dr. Suri has served as chairman of AtheroPoint, IEEE Denver section, and as an advisory board member to various healthcare industries and universities globally.

• 1. Introduction to cognitive science, informatics, and modeling2. Machine consciousness: mind, machine, and society contributors3. Brain-computer interface and neurocomputing4. The impact on cognitive development of a self-contained exploratory and technology-rich course on the physics of light and sound5. Identification of normal and abnormal brain hemorrhage on magnetic resonance images6. Cognitive informatics, computer modeling and cognitive science assessment of knee osteoarthritis in radiographic images: a machine learning approach7. Adaptive circadian rhythm a cognitive approach through dynamic light management8. Cognitive and brain function analysis of sleeping stage electroencephalogram wave using parallelization9. The future networks - a cognitive approach10. Identification of face along with configuration beneath unobstructed ambiance via reflective deep cascaded neural networks11. Setting up a neural machine translation system for English to Indian languages12. An extreme learning-based adaptive control design for an autonomous underwater vehicle13. Geometric total plaque area is an equally powerful phenotype compared to carotid intima-mediathickness for stroke risk assessment14. Statistical characterization and classification of colon microarray gene expression data using multiple machine learning paradigms15. Identification of road signs using a novel convolutional neural network16. Machine learning behind classification tasks in various engineering and science domains